International Journal of Nonlinear Analysis and Applications
https://ijnaa.semnan.ac.ir/
International Journal of Nonlinear Analysis and Applicationsendaily1Fri, 01 Jul 2022 00:00:00 +0430Fri, 01 Jul 2022 00:00:00 +0430Fractals of generalized $\Theta $-Hutchinson operator
https://ijnaa.semnan.ac.ir/article_3675.html
The aim of this paper is to construct a fractal of generalized $\Theta$-Hutchinson Operator with the help&nbsp;of a finite family of $\Theta$-contraction mappings, a class of mappings more general than contractions,&nbsp;defined on a complete metric space. Our results unify, generalize and extend various results in the&nbsp;existing literature.$(G,\psi)$-Ciric-Reich-Rus contraction on metric space endowed with a graph
https://ijnaa.semnan.ac.ir/article_3724.html
In this paper, we introduce the $(G,\psi)$-Ciric-Reich-Rus contraction on metric space endowed with a&nbsp;graph, such that $(X,d)$ is a metric space, and $V (G)$ is the vertices of $G$ coincides with $X$. We give&nbsp;an example to show that our results generalize some known resultsCoupled fixed point theorems in partially ordered complex valued metric spaces with application
https://ijnaa.semnan.ac.ir/article_4921.html
In this paper, we prove some coupled fixed point theorems for nonlinear contraction type&nbsp;mappings in complete complex valued metric spaces endowed with partial order. We support our results by establishing an illustrative example. Also we give an application of this results to the solution of the Urysohn type integral equations.&nbsp;Common Fixed Point Theorems with Applications to Theoretical Computer Science
https://ijnaa.semnan.ac.ir/article_3674.html
Owing to the notion of L-fuzzy mapping, we establish some common $L$-fuzzy fixed point results&nbsp;for almost $\Theta$-contraction in the setting of complete metric spaces. An application to theoretical&nbsp;computer science is also provided to show the significance of the investigations.An application of the Elzaki homotopy perturbation method for solving fractional Burger's equations
https://ijnaa.semnan.ac.ir/article_6226.html
In this paper, the solution of time-fractional Burgers and linked Burger's equations is obtained by using an effective analytical methodology termed the &nbsp;Elzaki homotopy perturbation method. Caputo sense is used to characterize the fractional derivatives. The recommended technique's answer is represented as a series that converges to the precise solution of the supplied issues. Furthermore, the outcomes of this strategy have revealed tight ties to the methods to the problems under investigation. The validity of the current strategy is demonstrated by illustrative instances.The Essential of Applying Nonlinear-Analysis to Validate Experiments, Assessing Superior Brain Functions: Case-Study of a Bayesian-Model of Inhibitory Control in ADHD
https://ijnaa.semnan.ac.ir/article_3946.html
In the last decades, nonlinear methods have been applied, in a large number of studies from the computational neuroscience field, to describe neuronal implementations of superior brain functions. Superior brain functions, called cognitive functions, control our behavior. Therefore, they should be assessed through evaluating individual performances in the experiments, using standard tasks, which represent the condition that cognitive functions are required. The mathematical models of cognitive functions, in neuronal implementation level, are based on real condition of standard cognitive tasks. However, it is not validated whether applied task conditions are appropriate to represent neuronal implementation of a cognitive function. Hence, as a case-study, we used a developed Bayesian Model to assess whether GoNoGo task is valid to be applied for neural measurement and modeling neural implementation of Inhibitory Control (IC). As GoNoGo is the most common task used for neural measurement of impaired cognitive function (IC) in ADHD, we fit the model to behavioral data of two groups of children/adolescents with and without ADHD. The results demonstrated that the model could simulated the behavioral data; and also the model parameters could differentiate the groups significantly. However, neural implementation of IC may not be represented through the rewarded condition of GoNoGo task. We concluded that before modeling neural implementation of cognitive functions, it is essential to apply nonlinear methods to validate current behavioral experiments computationally; or to design new model-based experiments for using in neural measurementsFluctuations in macroeconomic variables on the funding of pension funds in Iran (combined data pattern method with different frequency (MIDAS))
https://ijnaa.semnan.ac.ir/article_5512.html
The current paper investigates the fluctuations of macroeconomic variables on the resilience of pension funds in Iran. Thus, using the combined data model method with different frequencies (Midas), the present issue was investigated for different seasonal and annual time periods. In the forecasted model, the annual data of government debt, unemployment, and total Social Security expenditures and quarterly data of oil price fluctuations, exchange rate jumps, money supply and consumer price index for the years 1991-2016 have been used. Data related to 2019 were not used in the initial estimation of the relationship in order to test the predictive power of the model outside the estimation range. Based on the results; inflation rate, money supply, exchange rate jumps and crude oil price fluctuations have a statistically significant effect on the Social Security expenditures. In other words, in terms of economic structure and according to the principles of economics, a steady increase in the exchange rate causes economic prosperity in society, but if this increase is temporary, economic prosperity can not be observed. A floating and managed exchange rate increase will cause relative stability in the foreign exchange market, which in turn will increase the total Social Security expenditures in the long run. Exchange rate fluctuations lead to an increase in debt by companies and the government, and an increase in debt will lead to a general lack of liquidity, which in general, the lack of liquidity of enterprises has a negative effect on the situation of the Social Security and increase the total Social Security expenditures. Also, by comparing the predicted values with the realized values, the prediction accuracy of the model is higher and is closer to the real values.A Nonmonotone Hestenes ans Stiefel Conjugate Gradient Algorithm for Nonsmooth Convex Optimization
https://ijnaa.semnan.ac.ir/article_3958.html
Here, we propose a practical method for solving nonsmooth convex problems by using conjugate gradient type methods. We present a modified HS conjugate gradient method, as one of the most remarkable methods to solve smooth and large-scale optimization problems. In the case that we have a nonsmooth convex problem, by way of the Moreau-Yosida regularization, we convert the nonsmooth objective function to a smooth function and then we use our method, by making use of a nonmonotone line search, for solving a nonsmooth convex optimization problem. We prove that our algorithm converges to an optimal solution under standard condition. Our algorithm inherits the performance of HS conjugate gradient method.Supply chain integration: Home industries perspectivea
https://ijnaa.semnan.ac.ir/article_5690.html
This study aims to understand the characteristics of Supply Chain Integration (SCI) in home industries. This research used qualitative with a descriptive approach. Data was obtained by doing interviews with selected subjects. This study shows that not all home industries need a specific SCI platform, but sometimes home industries are less responsive to the needs of more advanced SCI. Therefore, we recommend that each home industry be able to carry out an independent assessment to measure the level of SCI's system and management needs. Also, it begins to implement knowledge sharing as an initial effort to increase the quality of human resources.Correlation Properties of Sea Surface Images on Video Stream Frames
https://ijnaa.semnan.ac.ir/article_5689.html
The work is devoted to the characteristic properties analysis of the sea surface image on video stream frames, which make it possible to make a decision about the detection of object images on them in the absence of a priori information about objects, which is important in the development of navigation systems, security and surveillance systems. In this paper, it is proposed to analyze the values of the normalized cross-correlation coefficients of a given image fragment with higher dimension fragments on sequential video stream frames to identify the distinctive properties of agitated sea surface and floating objects images. The computational experiments were carried out and have shown that the analysis of the results of calculating the frame fragments cross-correlations allows us to estimate the amount of displacement and distortion of a given image fragment. The results of computational experiments demonstrate the presence of differences in the values of the corresponding cross-correlation coefficients for the sea surface images with different agitation degrees, containing and not containing an image of the object. Based on the analysis of the proposed correlation properties of the sea surface images, a decisive rule for selecting fragments of frames containing an image of an object is formulated, the use of which, in many cases, allows to detect fragments of object images correctly.On neutrosophic semi-regularization topological spaces
https://ijnaa.semnan.ac.ir/article_6232.html
In this work, the idea of neutrosophic semi-regularization of neutrosophic topology is shown, as well as some of its characteristics. We show that &nbsp;for any neutrosophic &nbsp;set in neutrosophic topological space is &nbsp;a neutrosophic regular generalized $\alpha$-closed set &nbsp;in $(\Psi, \tau)$ if and only if it is neutrosophic regular generalized closed set in &nbsp;$ (\Psi , \tau^\alpha )$, where $\tau^\alpha$ &nbsp;is the family of all neutrosophic $\alpha$-open sets in $(\Psi, \tau).$A Novel Method for Detection of Fraudulent Bank Transactions using Multi-Layer Neural Networks with Adaptive Learning Rate
https://ijnaa.semnan.ac.ir/article_4562.html
Fraud refers to earn wealth including property, goods and services through immoral and non-legalchannels. Fraud has always been in action and experiences an increasing trend worldwide. Fraud infinancial transactions not only leads to losing huge financial resources, but also leads to reductionin trust of customers on using modern banking systems and hence, reduction in efficiency of thesystems and optimal management of financial transactions. In recent years, by emerging new tech-nologies of banking industry, new means of fraud are discovered. Although a new information systemcarry advantages and benefits, new opportunities are made for fraudsters. The applications of frauddetection methods encompasses detection of frauds in an organization, analysis of frauds and alsouser/customer behavior analytics in order to predict future behavior and reduce the fraud risks. Inrecent decades, employing new technologies in management of banking transactions has risen. Banks and financial institutions inevitably migrated from traditional banking to modern online banking to provide effective services. Although, the use of online banking systems improves the management of financial processes and speeds up services to customers of institutions, but some issues would also be carried. Financial frauds is one of the issues which organizations seek to prevent and reduceeffects. In this paper, a novel machine learning based model is presented to detect fraud in electronicbanking transactions using profile data of bank customers. In the proposed method, transactionaldata from banks are leveraged and a multi-layer perceptron neural network with adaptive learningrate is trained to prove the validity of a transaction and hence, improve the fraud detection in elec-tronic banking. The proposed method shows promising results compared with logistic regression andsupport vector machines.Efficiency of externally adjusted bankruptcy prediction patterns by bankruptcy prediction of Iranian organizations
https://ijnaa.semnan.ac.ir/article_6112.html
The aim of this study is the effectiveness of prediction models adjusting for foreign bankruptcy to bankruptcy prediction organizations in Iran. This study is applied and descriptive in nature of the relatives who would try to model bankruptcy, through models, model risk In their book, Dan and Broadstreet use the term &rdquo;failure&rdquo; to refer to companies that are shutting down due to divestiture or bankruptcy, or abandoning loss-making business activities, or which are subject to change. Are legal by law. But in general, when a company's active business fails demands (demands) of creditors to satisfy, as the company failed to consider and if the debtor fails with its creditors to somehow reach an agreement should be based on the provisions of the Code of bankruptcy petition economy.F-contractions Fixed point results in Extended Rectangular b-metric space
https://ijnaa.semnan.ac.ir/article_5623.html
In the present paper, we prove common fixed point theorem for F-contraction by considering one map is orbitally continuous map in $\Omega-$Extended rectangular b-metric space. In addition, we find fixed point for Banach and Kannan type contraction inequality without consideration of orbitally continuity. Also at the fixed point maps does not force to be continuous. An examples is also provided for the utility of our results.Constructing digital economy index: Case of small open economy
https://ijnaa.semnan.ac.ir/article_6162.html
The main objective of this study is to develop a Digital Economy Index (DEI) for the case of Malaysia. The procedure used in this study to construct a composite indicator was from the ideas proposed by the Conference Board. This composite DEI is constructed by the high correlation component series with the various methods and procedures proposed by the previous researchers. This study shows that the DEI has the leading power, leading the reference series (ICTE) on average for 2.8 quarters. Thus, DEI can be the short-term forecasting tool to decide due to it can provide an early signal than the ICTE for significant economic events. Therefore, the construction of DEI is significant as it can be used by policymakers to predict and measure the digital economy performance for the country.An incremental intrusion detection model using alarms correlation
https://ijnaa.semnan.ac.ir/article_5347.html
Today, intrusion detection systems are extremely important in securing computers and computer networks. Correlated systems are next to intrusion detection systems by analyzing and combining the alarms received from them, appropriate reports for review and producing security measures. One of the problems faced by intrusion detection systems is generating a large volume of false alarms, so one of the most important issues in correlated systems is to check the alerts received by the intrusion detection system to distinguish true-positive alarms from false-positive alarms. The main focus of this research is on the applied optimization of classification methods to reduce the cost of organizations and security&nbsp;expert time in alert checking. The proposed intrusion detection model using correlation(IIDMC) is tested on a valid test dataset and the results show the efficiency of the proposed model and consequently its high accuracy.The lowest-degree stabilizer-free weak Galerkin finite element method for Poisson equation on rectangular and triangular meshes
https://ijnaa.semnan.ac.ir/article_6153.html
Recently, the study on weak Galerkin (WG) methods with or without stabilizer parameters have received much attention. The WG methods are a discontinuous extension of the standard finite element methods in which classical differential operators are approximated on functions with discontinuity. A stabilizer term in the WG formulation is used to guarantee convergence and stability of the discontinuous approximations for a model problem. By removing this parameter, we can reduce the complexity of programming on this numerical method. Our goal in this paper is to introduce a new stabilizer-free WG (SFWG) method to solve the Poisson equation in which we use a new combination of WG elements. Numerical experiments indicate that our SFWG scheme is faster and more economical than the standard WG scheme. Errors and convergence rates on two types of mesh are presented for each of the considered methods, which show that our numerical scheme has $O(h^2)$ convergence rate while another method has $O(h)$ convergence rate in the energy norm and the $L^2$-norm.Fixed Point Results in Complex Valued Metric Spaces and an Application
https://ijnaa.semnan.ac.ir/article_5654.html
In this paper, we introduce a fixed point theorem for a general contractive condition in complex-valued&nbsp;metric spaces. Also, some important corollaries under this contractive condition are obtained. As an application, we nd a unique solution for Urysohn integral equations and some illustrative examples are given to support our obtaining results. Our results extend and generalize the results of Azam et al. [2] and some other known results in the literature.Some properties of $q$-regularity and $q$-normality in supra topological spaces
https://ijnaa.semnan.ac.ir/article_6234.html
The objective of this article is, first, to introduce and investigate the notions of supra $q$-regular and supra $q$-normal by using the concepts of $q$-regularity &nbsp;and $q$-normality. Second, to introduce some types of supra $q$-regular and supra $q$-normal continuous mappings and investigate some properties and point out their main features of them. Finally, we introduce and investigate supra $q$-regular (resp; supra $q$-normal) homeomorphism and supra $q$-regular (resp; supra &nbsp;$q$-normal) irresolute map also supra $q$-regular (resp; supra $q$-normal) contra continuity map and investigate some properties of these mappings with several examples are presented.Evaluation of the energy reserve of communication channels during data transmission using small-sized UAVs in the conditions of "smart cities
https://ijnaa.semnan.ac.ir/article_5692.html
In this article, the influence of various factors and conditions of data transmission on the energy reserve of radio communication channels with small-sized unmanned aerial vehicles performing flight tasks within the "smart cities" with dense buildings is evaluated using mathematical modeling. It is shown that modern cities of this type, due to the presence of buildings of various height with various reflection coefficients and a significant level of electromagnetic interference, create specific conditions for the propagation of radio waves, forming multipath fields with a complex interference structure and sharp spatial changes in signal levels, which creates a number of issues related to both the quality of communication and its reliability, including, in particular, the determination of energy reserves of radio communication channels. For their quantitative evaluation, mathematical models, typical data transmission parameters and energy characteristics of both unmanned aerial vehicles and ground-based control systems were selected. On their basis, a corresponding study of the energy reserve of the radio communication channel was conducted, and the corresponding conclusions were drawn based on the results of modelingSome integral inequalities for the product of $s$-convex functions in the fourth sense
https://ijnaa.semnan.ac.ir/article_6163.html
In this paper, several novel inequalities are examined for the product of two $s$-convex functions in the fourth sense. Also, some applications regarding special means and digamma functions are presented.Designing a model of effective factors in the failure of manufacturing contracts in the field of oil and gas: Using the AHP technique
https://ijnaa.semnan.ac.ir/article_6168.html
This research uses the Analytic Hierarchy Process (AHP) to design a model of factors affecting the failure of manufacturing contracts in the field of oil and gas. The present study is applied based on the purpose and from the point of view of how information is collected; it is a type of mixed (qualitative-quantitative) research. In this research, the statistical population consists of two parts, the quality department includes 21 in-university experts and specialists and experts aware of the subject of construction contracts and the quantitative part includes 384 contractors, consultants, employers, project stakeholders, and people related to the construction contracts in the field of oil and gas. The theme analysis method was used to analyze the data of this research. The hierarchical analysis (AHP) method was used to rank the components and Spss and Expert Choice software were used to analyze the data. The results of the Hierarchical Method (AHP) showed that; comparing the five main dimensions, the technical dimension is in the first place with 32.42% Therefore, the technical dimension has the greatest impact and the political dimension has the least impact on the failure of construction contracts in the field of oil and gas.Mathematical modelling for peristaltic transport of non-newtonian fluid through inclined non-uniform channel under the effect of surface roughness
https://ijnaa.semnan.ac.ir/article_6674.html
The effect of surface roughness on the peristaltic motion of a non-Newtonian Jeffery fluid down a non-uniform inclined channel was carried out, and the analysis has been investigated in two-dimensional channel Cartesian co-ordinates by using a low Reynolds number and a long-wavelength approximation, the governing equations (continuity, motion, and temperature) were modeled and then simplified. Mathematica 11.3 was used to find an analytical solution for the fluid flow i.e. fluid velocity, temperature, pressure gradient, pressure rise, and flow streamlines. The impact of interesting included parameters on axial velocity, stream function, temperature, pressure gradient, and pressure rise is graphically described.SIMULATION MODEL OF THE DATA TRANSMISSION SYSTEM AS A MEANS OF THE AUTOMATED CONTROL SYSTEM EFFICIENCY INCREASE FOR THE MINING AND TRANSPORTATION COMPLEX
https://ijnaa.semnan.ac.ir/article_5694.html
They performed the analysis of the approaches to the implementation of data transmission systems for automated control systems (ACS) of the mining and transport complex. They showed the influence of the automation object - a quarry - on the formation and change of the electromagnetic environment, as well as the application options for mobile objects and traffic parameters of data exchange between ACS elements. To study the efficiency of the data transmission system and the influence of its parameters on the ACS efficiency, it is proposed to use a simulation model of the data transmission system, taking into account the essential factors of the automation object. They proposed the structure of the simulation model of the data transmission system. Variants of using the simulation model are given, recommendations are presented for its application, taking into account modern approaches in the ACS mining and transport complex.Remarks on uniformly convexity with applications in A-G-H inequality and entropy
https://ijnaa.semnan.ac.ir/article_6565.html
In this work, we shall give an upper bound for Jensen&rsquo;s inequality (for uniformly convex functions). Also, we introduce a refinement for the generalized $A-G-H$ inequality. Applying those results in information theory and obtain bounds for entropy.Methodology for modeling the information signal generator at the physical level in FANET networks
https://ijnaa.semnan.ac.ir/article_5695.html
Effective design of flying ad-hoc networks (FANET) requires to create a reliable model of network behavior at various interconnection levels. The greatest differences between ad-hoc and hierarchical networks are concentrated on the lower four levels (physical, channel, network, and transport). Software simulators of computer networks have a simplified nature of the physical layer, and also do not allow obtaining analytical solutions as a result of the modeling process. The developed hierarchical model for the formation of information signals allows to perform an analytical description for various communication channels and telecommunications equipment. Model can represent communication channels in a flying network while taking into account attenuation, inter-symbol interference, signal propagation over many paths, telecommunications equipment circuits with linear and nonlinear signal generation; circuits with different direction of control signals, namely direct control (FC), backward control (BC) and combined control; multi-channel circuits. Analytical transfer functions of the model are obtained for any number of unfolded hierarchy levels. The UAV transmitter frequency synthesizer is modeled on the basis of a hierarchical signal generation model. The simulation allowed us to determine the conditions for the uniformity of the amplitude-frequency modulation characteristic (AFMC) in the region of the lower modulating frequencies of the synthesizer while maintaining the high operating speed of the synthesizer.Multi-wavelet Bessel sequences in Sobolev spaces in $L^2(\mathbb{K})$
https://ijnaa.semnan.ac.ir/article_6171.html
This paper is devoted to the study of some properties of multiwavelet Bessel sequences in Sobolev spaces over local fields of positive characteristics.Mentimeter and data on college student engagement in mathematics learning
https://ijnaa.semnan.ac.ir/article_5696.html
The data were found by means of the Google Drive form shared with 162 students of the Professional School of Engineering of a private university and 55 students of the Professional School of Education in the speciality of Mathematics and Physics of a public university. The purpose was to detect the perceptions of the form and the way they are interacting with the use of the Mentimeter tool in the teaching-learning process in the subjects of Complementary Mathematics and Mathematics during the semester of 2020. For the effect, it was directed with the transversal descriptive design of surveys, finding that the Mentimeter tool allows promoting the participation of university students in the learning of Mathematics in the following components: experience of use of the tool during learning, in the argumentative speech of mathematical contents and writing texts within the tool. In addition, it has a great influence in arousing emotions, interactions, enjoyment, socialization and immediate reinforcement by the group members and the teacher by way of feedback.Wavelet analytical method on the Heston option pricing model
https://ijnaa.semnan.ac.ir/article_6169.html
In this paper, the Heston partial differential equation option pricing model is considered and the Legendre wavelet method (LWM) is used to solve this equation. The attributes of Legendre wavelets are used to reduce the PDEs problem into the solution of the ODEs system. The wavelet base is used in approximation due to its simplicity and efficiency. The method of creating Legendre wavelets and their main properties were briefly mentioned. Some numerical schemes have been compared with the LWM in the result.Provide a model for attracting and hiring competency-based manpower based on structural equations in the social security organization
https://ijnaa.semnan.ac.ir/article_6187.html
Sustainable achievement and survival in the challenging business of modern life depend on the ability of employees to perform the tasks assigned to them. Thus, recruiting the best employees with a fitting job with target posts may play an important role in organizations. The present study aims to provide a model for recruiting and hiring competency-based human resources based on structural equations in the Social Security Organization of Iran. This study was applicable in terms of aim and " combined" in terms of the method. In the qualitative stage, data-based strategies were used to design a model; in contrast, in the quantitative stage, structural equations of smart pls were used. The statistical population was managers and experts in human resources of the Social Security Organization of Iran. They were selected by the purposeful sampling method; in the quantitative stage, this sampling continued until we reached theory saturation. In the quantitative stage, 250 employees were selected from the section of human resources. After collecting data and extracting concepts, categories, the final model was determined. Given fitness indexes in the quantitative section, it became clear that data was fit with underlying structural factors and they were consistent with fit indexes. After collecting data and extracting concepts and categories, the final model was determined. Given fitness indexes in the quantitative section, it became clear that data fitted with underlying structural factors, consistent with fit indexes. Given the dimensions, the Social Security Organization of Iran needs this model, thus implementing this model based on its capacities and recruiting employees as important organization resources to improve the organization and decrease costs.Fractional Hermite-Hadamard type inequalities for functions whose mixed derivatives are co-ordinated $(\log,(s,m))$-convex
https://ijnaa.semnan.ac.ir/article_6173.html
In this paper, we introduce the class of $(\log,(s,m))$-convexity on the co-ordinates, we establish a new identity involving the functions of two independent variables, and then we derive some fractional Hermite-Hadamard type integral inequalities for functions whose second derivatives are co-ordinated $(\log,(s,m))$-convex.Pascal distribution series and its applications on parabolic starlike functions with positive coefficients
https://ijnaa.semnan.ac.ir/article_6188.html
The purpose of this article is to make a connection between the Pascal distribution series and some subclasses of normalized analytic functions whose coefficients are probabilities of the Pascal distribution. To be more precise, we investigate such connections with the classes of parabolic starlike and uniformly convex functions with positive coefficients in the open unit disk $\mathbb{U}.$Clustering algorithm for electronic services customers: A case study of the banking industry
https://ijnaa.semnan.ac.ir/article_6172.html
Today, recognizing and retaining customers is one of the major challenges of customer-oriented organizations, especially in the field of banking, which has attracted the attention of many researchers. With the increasing growth of customers and the use of electronic devices that have led to the production of large volumes of data, customer behavior analysis can be considered as a competitive factor for them. In this paper, considering the varied density and data growth that leads to computational overhead, a combined approach is used of the RFM method , density-based clustering algorithm and Map-Reduce( which is an efficient and low-cost framework for running synchronous algorithms.) it is used. The results show that the proposed algorithm is more accurate than VDMR-DBSCAN. Also, the output of the algorithm is in the form of 5 clusters, the results of which can help managers in identifying valuable customers, and This method leads to increased revenue and reduced unnecessary costs that occur due to lack of recognition and incorrect segmentation of customers.Grey flexible mathematical programming problems: Feasibility and efficiency concepts of the solution
https://ijnaa.semnan.ac.ir/article_6207.html
Grey System theory was initiated in 1982 and Grey mathematics is the mathematical foundation of Grey System (GS)&nbsp; theory. After successful applications of grey systems, this theory has been developed in many areas and disciplines such as ecology, economy, geology, earthquake, industry, material science sports, traffic, management, decision sciences,&nbsp; transportation, medicine, agriculture, diet problem, and etc. Because of the ability to deal with poor, incomplete, or uncertainty problems with grey systems, most of the real-world processes in decision problems are in the grey stage due to lack of information and uncertainty. This is one of the main reasons to emphasize that grey optimization provides a useful tool for decision-making problems under such uncertainties. The GS clearness of logic and ease of use impelled researchers to develop this theory as well as fuzzy sets theory in the field of Linear Programming (LP) too. Early applications of Grey&nbsp; Linear Programming (GLP) incorporated grey numbers into the objective function, constraint matrix, right-hand sides of constraints, and sometimes all of the above. However, the flexibility assumption in decision making is more comfortable for the Decision Maker (DM), hence in this paper, we concentrate on Grey Flexible Linear Programming (GFLP) problems as a reasonable extension of GLP models in which is more adept with the real situations. For this aim, after defining the classical GFLP model, we first introduce a new concept of &alpha; ̅-feasibility and &alpha;-efficiency to these problems, and then we propose a two-phase approach to solve the mentioned problems. Furthermore, for supporting and also verifying the proposed solving process, we give some fundamental theorems and results. We believe that this approach will be open a&nbsp; new window to the modelling of the problems in the real world in the flexibility conditions.&nbsp;Weakly semi-primary submodules
https://ijnaa.semnan.ac.ir/article_6235.html
Let $R$ be a commutative ring with identity, and let $W$ be a unitary $R$-module. In this paper, we introduced the concept of a weakly semi-primary submodule as a generalization of the primary submodule, where a submodule $X$ of $W$ is called weakly semi-primary if the \(\mathrm{Rad}(X:W) = \sqrt{(X:W)}\) is a weakly prime ideal of $R$, and from this work, we have provided some characteristics of weakly semi-primary submodule.Robo-Advising and Other Types of Passive Income Generating Within the Developing Digital Economy
https://ijnaa.semnan.ac.ir/article_6203.html
This study focuses on the analysis and evaluation of various ways of generating progressive passive income. The relevance of the work is caused by the rapid development and implementation of information technology at all levels of the life of a contemporary person. For the financial market, digitalization is a particularly relevant trend - the financial sector does not require the binding physical mobility or consumption of values, but is based on the circulation and accounting of information that is easily converted, accumulated and processed using escalating progress of computer technologies. Moreover, in the financial sector, there is an active phase of automation and algorithmization of processes (algorithmic trading, robo-advising, smart contracts, etc.), which significantly increase operational efficiency. The analysis of the Russian market of robo-advisers and other methods of generating passive income in the era of &ldquo;generation Y&rdquo; showed how effective and relevant recommendations for managing savings and investment portfolios using new financial technologies become.The dynamics of substitution elongations between fossil fuel carriers in Iran: Policy guidelines for gas consumption in the industrial sector on the horizon 2025 using Kalman filter approach
https://ijnaa.semnan.ac.ir/article_6175.html
The present paper explains the dynamics of substitution tensions between fossil energy carriers in Iran: Policy guidelines for gas consumption in the industrial sector on the horizon 2025 using the space model and Kalman filter approach for the years 2006-2019 in the form of quarterly data. Based on the model estimation results; Price and revenue elasticity of kerosene, gasoline, gas oil, furnace oil and liquefied petroleum gas -0.14, -0.07, -0.46, -0.10 and -0.24 and 0.48, / 06 0, 0.17, 0.48 and 0.01. Because the price elasticity of all four products is less than one, increasing the prices increases manufacturers' costs, and increasing costs slow down the pace of gas replacement. There is a direct relationship between sales tariffs and natural gas demand, which means that with a one percent increase in sales tariffs and liberalization of kerosene, gasoline, gas oil, fuel oil and liquefied petroleum gas prices; Gas demand respectively; 0.46, 0.34, 0.004, 0.17 and 0.11 will increase. As a result, natural gas is a stretchable commodity in the long run. Also, the highest price elasticity and substitution elasticity among petroleum products with natural gas up to the horizon of 1404, respectively; related to gas oil, furnace oil, kerosene, gasoline and liquefied petroleum gas. In other words, as a result of the implementation of the above policies, the share of crude oil in the initial energy supply has decreased from 89.5 to 42.5 percent. Furthermore, the share of natural gas has increased from 8.5 to 63.5 percent. As a result, the country is currently far from the goals set out in the document.Solution to the conflict of interests between marketing and logistics subdivisions
https://ijnaa.semnan.ac.ir/article_6204.html
The paper discusses the need for cross-functional coordination for the implementation of end-to-end business processes in a modern organization. Based on the analysis of systems concerning the motivation of staff and approaches to the formation of the key performance indicators we have developed the indices that take into account the interests of the organization departments with overlapping areas of functional cooperation. Using the example of marketing and logistics departments, the work proposes the system of measures of motivation, which take into account the interests of the units, which functions partially overlap. The results can be used to create a harmonious motivation system that minimizes the possible conflict of interests of units.A quasi-static contact problem with friction in electro viscoelasticity with long-term memory body with damage and thermal effects.
https://ijnaa.semnan.ac.ir/article_6176.html
In this paper, we consider a mathematical model that describes the quasi-static process of contact between a piezoelectric body and a deformable foundation. A nonlinear thermo-electro-viscoelastic constitutive law with long term memory and damage is used and the contact is described with the normal compliance condition and a version of Coulomb&rsquo;s law of friction. We derive variational formulation for the model which is in the form of a system involving the displacement field, the electric potential field, the temperature field and the damage field, existence and uniqueness of a weak solution of the problem is proved. The proof is based on arguments of time-dependent variational inequalities, parabolic inequalities, differential equations and fixed points.ORGANIZATION OF MAINTENANCE AND REPAIR OF EQUIPMENT FOR OIL PRODU-TION IN A LEAN MANUFACTURING ENVIRONMENT
https://ijnaa.semnan.ac.ir/article_6205.html
Currently, oil-producing enterprises use a large number of different equipment (machines, drilling rigs, pumps, compressors, mobile power plants, cars, tractors, mining machines and complexes, etc.). Their operating conditions are complicated by the fact that they are far from the bases of expeditions and central mechanical work-shops, they experience significant alternating loads at high humidity and the presence of an aggressive environment. Because of this, they quickly wear out and fail. At the same time, physical wear and tear of the equipment threatens the normal functioning of the entire interconnected process of oil production, treatment and pumping, and can lead to local emergencies. Reliable operation of equipment is possible only when performing a maintenance and repair system that provides for a set of measures to eliminate progressive wear, reduce the number of failures, increase durability and level of use, and ensure the required performance and safety. Lean manufacturing involves fundamentally new approaches to the organization of production and offers a set of tools and techniques that can significantly reduce losses, reduce the cost and speed up processes.Maps preserving strong Jordan multiple $*$-product on $*$-algebras
https://ijnaa.semnan.ac.ir/article_6177.html
Let $\mathcal{A}$ be an arbitrary $*$-algebra with unit I over the real or complex field $\mathbb{F} $ that contains a nontrivial idempotent $P_{1}$ and $ n\geq 1$ a natural number and $\varphi:\mathcal{A} \longrightarrow \mathcal{A}$ be a surjective map on $\mathcal{A}$ such that $\varphi$ satisfies condition$$\varphi(P)\bullet_{n-1}\varphi(P)\bullet\varphi(A)=P\bullet_{n-1} P\bullet A,$$&nbsp; for every $ A \in\mathcal{A}$ and projection $P\in\{P_{1},~I-P_{1}\}$, where $ A\bullet_{n-1} A$ with repeat $ n-1 $ times $ A $ is the Jordan multiple $*$-product. &nbsp; Then $\varphi(A)=\varphi(I)A$ for all $ A\in\mathcal{A}$ and $\varphi(I)^2=I$.Impact of exchange rates and inflation on GDP: A data panel approach consistent with data from Iran, Iraq and Turkey
https://ijnaa.semnan.ac.ir/article_6278.html
In any country, economic growth and the GDP are among the key most important indicators of progress as well as economic growth/development of that nation. Consequently, it is crucially significant to study and assess factors affecting the GDP. Therefore, the primary objective of this study is to investigate and analyze the impact of exchange rate and inflation on GDP. The objective of this article is to assess and analyze the impact of exchange rates and inflation on the GDPs of Iran, Iraq and Turkey during the period between 2005-2020. This research is descriptive in nature and applied in purpose. The relationships between the variables have been studied utilizing the data panel method compliant with statistical data from Iran, Iraq and Turkey (from 2005-2020). Data from the Central Bank of Iran as well as the World Bank were used for collect testing the hypotheses. Findings revealed that the exchange rate has no effect on GDP in these countries, while inflation has a significant/meaningful plus negative relationship with GDP.Using LU analysis to encryption the images formed after steganography of image into another image
https://ijnaa.semnan.ac.ir/article_6240.html
In this research, we will hide an image we call the secret image inside another image we call the repository. After converting the color values of both images from decimal to binary, we copy the stored images into four copies and use the eighth and seventh bits of these copies to hide the full bits of the secret image starting with the first. Two to be replaced in the eighth and seventh parts, respectively in the first version, then we hide the third and &nbsp;fourth bits of the secret image in the eighth and seventh parts, respectively, of the second version of the repository images, after that we hide the fourth and fifth parts of the secret image in the eighth and seventh parts of The third version of the repository image, then finally we put the last two bits of the secret image in the eighth and seventh parts of the fourth version of the image After that, we retrieve the color values of the images formed &nbsp;from the binary system to the decimal system so that we have four new warehouse images, but the secret image that did not show any features in the images &nbsp;roduced in order to strengthen the masking process, we encrypt those formed images using one of the mathematical analyzes within the field of analysis Numerical, which is the analysis of LU factors, which analyzes the image or divides it into two images, and we will see this through the working methodology.Impact of the Covid-19 pandemic on the development of online business media (on the example of the Republic of Tatarstan media)
https://ijnaa.semnan.ac.ir/article_6206.html
The COVID-19 pandemic and the related quarantine restrictions in Russia have seriously affected the activities of the media, which found themselves in a crisis situation and required special attention from the state. This article examines the situation that developed at the height of the pandemic (in March-February 2020) in online business media on the territory of such an actively developing economic region as the Republic of Tatarstan. The authors analyzed how the general quarantine regime affected the development of the leading online business publications in the region - the economic activities of their editorial offices and daily content, which was formed taking into account the self-occupation regime established in the republic. The empirical base of the study includes publications both in regional business online media and in similar foreign media, which allowed the authors of the article to make a comparative characteristic. The article concludes that the pandemic has contributed to a significant expansion of online business media issues by covering topics of universal nature. The formation of the information agenda during the period of self-isolation took place on the basis of four semantic categories: pandemic, self-isolation, quarantine, and economic crisis. The corresponding semantic component was built on these categories.Coefficient estimates for subclasses of analytic functions related to Bernoulli's lemniscate and an application of Poisson distribution series
https://ijnaa.semnan.ac.ir/article_6580.html
Using the $q$-calculus operator we defined a new subclass of analytic functions $\mathcal{M}_q(\vartheta,\Phi)$ defined in the open unit disk $\Delta=\{z\in\mathbb{C}:\left\vert z\right\vert&lt;1\}$ related with Bernoulli's lemniscate and obtained certain coefficient estimates, Fekete-Szeg\H{o} inequality results for $f\in\mathcal{M}_q(\vartheta,\Phi)$. As a special case of our result, we obtain Fekete-Szeg\H{o} inequality for a class of functions defined through Poisson distribution and further with the help of MAPLE\texttrademark\ software we find Hankel determinant inequality for $f\in\mathcal{M}_q(\vartheta,\Phi)$. Our investigation generalises some previous results obtained in different articles.A comparative study of the development of methodological approaches to competition research based on scientometric SciVerse Scopus indicators
https://ijnaa.semnan.ac.ir/article_6208.html
This paper provides an analysis of scientific publications of Russian and international researchers in the field of competition development based on various scientometric indicators, using SciVal, an analytical tool of Elsevier, the world supplier of scientific information products and services. In order to make the analysis complete, the concept of "competition" was considered from various points of view: first, as a rivalry, a struggle for goods that are of particular interest to stakeholders, on the other hand, as a type of market structure, along with monopoly and oligopoly. Based on these research areas, the authors made lists of keywords for the search conducted according to the following classification indicators: number of scientific publications, research areas devoted to competition development, field-weighted citation impact, key relevant phrases, active countries, educational and research institutions, journals, authors, etc. The main time interval for the analysis is the period from 01.01.2015 to 28.10.2020.Determining the practical frontier for decision-making units by developing a new additive model in the DEA
https://ijnaa.semnan.ac.ir/article_6180.html
Data envelopment analysis (DEA) assigns a score to each unit of the decision-making units being analyzed indicating the efficiency or inefficiency of that unit over the other units. However, in the early DEA models, there is no strategy to improve the efficiency of the efficient units. Therefore, in Paradi &amp; Sowlati's (2004) practical boundary theory, they tried to expand these models to increase the efficiency of the efficient decision-making units. They had a basis for improving performance to a certain extent, thus, they presented the P-DEA linear programming model to extend the efficiency of the efficient units. Because of the staff management in organizations, it is important to increase the efficiency units in order to improve the organization based on the possible changes in the level of input and output of decision-making units. This is done to produce newly advanced based on the efficiency of these new units. In this research, after studying the P-DEA model thoroughly, we identified its drawbacks and proposed a new method for determining the practical boundary by developing an additive model using an example.Identifying LARG Supply Chain Performance Measures in Oil and Gas Industries and How They Relate to LARG Practices: A Fuzzy mathematical approach
https://ijnaa.semnan.ac.ir/article_6268.html
The purpose of this article is to identify the measures of LARG supply chain performance in the oil and gas industry and how they relate to LARG practices. By reviewing the literature and interviewing industry experts LARG supply chain performance evaluation metrics are identified and prioritized using fuzzy Delphi. The importance of each of the performance measures is determined by the method of Importance -Performance Analysis (IPA). The spider diagram shows the gap between the current state and the ideal state of the supply chain. Finally, in Vensim a dynamic supply chain model is simulated and tested. Based on the outputs of this study, among the performance metrics, revenue metering is the most important for experts and after revenue metering, customer satisfaction metering is very important. The results show that measures of quality, cost, revenue, flexibility, integrity, customer satisfaction, inventory level and social responsibility are necessary for experts to evaluate supply chain performance and should be considered in the supply chain performance evaluation model. The results of this research can be used in the LARG supply chain of oil and gas industries.Some new refinements of the generalized Holder inequality and applications
https://ijnaa.semnan.ac.ir/article_6200.html
The main goal of this article is to present some new refinements of the generalized classical Holder's inequality. As applications, we present some refinements to several inequalities for the $(q,s)$-Polygamma functions, the $s$-Extension of Nielsen's $\beta$-function, the derivatives of the $s$-Extension of Nielsen's $\beta$-function, the extended Gamma function, the $r$-Gamma functions and the $r$-Riemann Zeta function.Providing a pricing model for independent auditing assurance services in Iran by a combination method of qualitative fuzzy Delphi and fuzzy demitel
https://ijnaa.semnan.ac.ir/article_6295.html
this goal, first the factors and indicators affecting the independent audit assurance services were defined based on the field analysis technique and then these factors and indicators were classified. According to this goal, this project is an innovative combination of consecutive and instrumental model type, design, and development model based on the design criteria of this model. Members of the Iranian Society of Certified Public Accountants have led to the definition of research model criteria by using the case study research method and semi-structured interviews of managers and partners of auditing firms and auditing firms. Based on interviews and analysis of previous studies, factors affecting the pricing model of independent audit assurance services were identified. 50 codes were examined which were classified into 9 groups based on axial coding. These factors include corporate governance, corporate ownership structure, internal factors of the company, external factors of the company, factors of the auditing firm, characteristics of managers and owners, financial and accounting factors, audit characteristics, and competitive market auditing. To determine the degree of importance of the identified criteria, the demitel phase group decision-making technique was used. Based on the obtained results, financial and accounting factors are at the highest level of impact (9.91). Financial and accounting factors refer to the criteria of free float, the percentage of ownership of major shareholders, audit risk, the ratio of total liabilities to total assets.A nonlinear system modeling method based on projection pursuit and particle swarm optimization algorithm
https://ijnaa.semnan.ac.ir/article_6247.html
Based on projection pursuit and particle swarm algorithm, a new method of establishing a nonlinear system model and its algorithm implementation are proposed, and two simulation examples are given. The simulation results show that the method proposed in this paper is used to establish a nonlinear system model. It has the advantages of high prediction accuracy and good engineering practicability.&nbsp;Solving NP hard problems using a new genetic algorithm
https://ijnaa.semnan.ac.ir/article_6367.html
Over the past few decades, a lot of meta-heuristics have been developed to solve N-P hard problems. Genetic algorithm, ant colony optimization, simulated annealing, electromagnetism algorithm and tabu search are some examples of meta-heuristics algorithms. These kinds of algorithms have two main classes: population-based and Trajectory. Many of these algorithms are inspired by various phenomena of nature. In this research, the author introduces a new population-based method inspired by the lifestyle of lions and the genetic algorithm&rsquo;s structure called the new genetic algorithm (NGA). The social behaviour of lions and genetic operators like mutation and cross-over is the main structure of NGA. Finally, the NGA is compared with the hybrid genetic and hybrid ant colony optimization as the best existing algorithms in the literature. The experimental results have revealed that the NGA is competitive in terms of solution quality to solve the vehicle routing and scheduling problems as two main categories of N-P hard problems.Designing a performance management model by organizational resilience approach for regional electricity companies (case study: Khorasan Regional Electricity Company)
https://ijnaa.semnan.ac.ir/article_6546.html
Achieving sustainable success and survival in today's challenging business conditions depends on the ability of organizations to cope with crises and return to normal conditions which mean organizational resilience. This study has been done aimed to design a performance management model, emphasising organizational resilience for Regional Electricity Companies. The exploratory mixed method has been used in this study. In the qualitative phase of the research, the Thematic Analysis strategy was used to design the model. Also, in the quantitative step, a survey strategy with a Structural Equation Modeling approach was used to test and validate it. In the qualitative phase, the statistical sample of the research encompasses 13 experts using Judgmental Sampling and in the quantitative step, it includes 205 employees of Khorasan Regional Electricity Company using Stratified Random Sampling. Based on the findings, the performance management model with organizational resilience approach was identified and confirmed in four elements including influencing factors on performance with organizational resilience approach, dimensions and components of performance with organizational resilience approach, strategies of the performance management with organizational resilience approach which lead to internal and external consequences such as productivity enhancement, performance sustainability, Improvement of service delivery and stakeholder satisfaction.Some dominating results of the topological graph
https://ijnaa.semnan.ac.ir/article_6404.html
Let $G_{\tau}=(V, E)$ be a topological graph constructed from the topological space $(X, \tau)$. In this paper, several types of dominating parameters are applied on the topological graph $G_{\tau}$. Such as independent domination, total domination, connected domination, doubly connected domination, restrained domination, strong domination and weak domination. Also, the inverse domination of all these parameters was proved.Fuzzy partial differential equations
https://ijnaa.semnan.ac.ir/article_6224.html
We will consider a type of elementary fuzzy partial differential equation that we wish to solve. The classical solution and the extension solution are discussed.&nbsp;Conceptualization of technological innovation model in factoryless manufacturing in Iran
https://ijnaa.semnan.ac.ir/article_6405.html
Despite some studies in the analysis of technological innovation systems and factoryless manufacturing, these two issues have been analyzed comprehensively and at the same timeless, while entrepreneurship and employment development are among the first functions of technological innovation systems in countries. The aim of this study is to provide an integrated model for technological innovation in factoryless manufacturing in Iran. In this research, an integrated approach based on Grounded theory and structural-interpretive modeling has been used. The statistical population includes experts and experts in the field of factoryless producing. Using the purposive sampling approach, a total of 11 people were selected as participants in the study to the extent of theoretical saturation. Data were collected through interviews under the guidance of generalities and in a semi-structured manner and based on the data theory process, during the three stages of open, axial and selective coding, 71 concepts, 19 sub-categories and 6 main categories were identified and categorized. Then the final variables were graded by interpretive structural modeling at 4 levels of the main phenomenon, infrastructure, implementation and outcome. The results show that technological innovation acts as the main and effective basis for determining successful strategies in the field of factoryless manufacturing, which will lead to the interaction of the socio-economic environment in Iran.On $A_{\lambda}$-almost null and $A_{\lambda}$-almost convergent Orlicz sequence spaces
https://ijnaa.semnan.ac.ir/article_6472.html
G. Lorentz}. In this paper, some new generalized sequence spaces on $A_\lambda$-almost null \&amp; $A_{\lambda}$-almost convergent sequences by Orlicz function are introduced and extended to the paranormed sequence spaces. Some inclusion relation has also been established between the new spaces. In addition, the $\alpha$-, $\beta$- and $\gamma$-duals of these spaces, and the characterization of $\left(A_\lambda(f)(\Delta, M, q): \nu\right)$ \&amp; $\left(\nu: A_\lambda(f)(\Delta, M, q)\right)$ of infinite matrices are also given.Kamal transform technique for solving system of linear Volterra integro-differential equations of the second kind
https://ijnaa.semnan.ac.ir/article_6414.html
Many advanced problems in science and engineering can represent mathematically in the form of linear Volterra integro-differential equations or their system. In this paper, we present the solution of the linear system of Volterra integro-differential equations of the second kind by Kamal transform. Some numerical problems have been given and solved by Kamal transform for illustrating the applicability of the Kamal transform. Results of numerical problems assert that the Kamal transform is very effective for obtaining the exact solution of the linear system of Volterra integro-differential equations of the second kind.Designing a model to manage succession planning in the banking system via structural equations method (Case study: Agricultural Bank)
https://ijnaa.semnan.ac.ir/article_6497.html
Succession is among the most optimal programs available to provide the most competent workforce for an organization's key positions when required. The primary objective of this research is to design a comprehensive model of succession management within the banking system. This study is a developmental and applied research in terms of its purpose classification. As far as its nature and method classification, it is a descriptive survey and exploratory research with the utilization of a questionnaire. The statistical population consisted of all banking sector staff members (executive, managerial, supervisory, experts, specialists as well as their assistants (Agricultural Bank). The number was approximately 340 people. In order to determine the number of samples and consistent with the statistical population table, the Krejcie \&amp; Morgan decision-making model was utilized. In line with the statistical population, 180 samples were selected. The research model comprises of 5 indicators and 34 components. The model was validated/confirmed with the LISREL software. The components and indicators for succession in key occupations of the Agricultural Bank were identified and the final model was presented. The introduced model is the first such model for the Agricultural Bank. As a consequence of the comprehensiveness of its factors, it has a high capability to be generalized for other similar regulatory organizations.Banach fixed point theorem on incomplete orthogonal S-metric spaces
https://ijnaa.semnan.ac.ir/article_6417.html
In this paper, we are interested in obtaining fixed point theorem for mappings in S-metric space by wearing the completeness of S-metric space using relations. As consequences, an application to existence and uniqueness of solution of integral equation is given.Exact solution of nonlinear time-fractional reaction-diffusion-convection equation via a new coupling method
https://ijnaa.semnan.ac.ir/article_6242.html
The main aim of this work is to find the exact solution in the form of the Mittag-Leller function for the nonlinear time-fractional reaction-diffusion-convection equation via a new coupling method namely, the Aboodh variational iteration method (AVIM). The proposed method is a coupling of the Aboodh transform method with the variational iteration method and the fractional derivative defined with the Liouville-Caputo operator. Three different numerical applications are given to demonstrate the validity and applicability of the proposed method and compare it to existing methods. The results shown through figures and tables demonstrate the accuracy of our method. It is concluded here that the proposed method is very efficient, simple and can be applied to other nonlinear problems arising in science and engineering.Symmetric fuzzy approach to solve complementary multi-objective linear fractional programming problem
https://ijnaa.semnan.ac.ir/article_6435.html
In this paper, the property of fuzzy sets is used as approach to instrument for the construction and finding the value of &ldquo;multi-objective linear fractional programming problem&rdquo; (MOLFPP) and applied complementarity condition on such problems which is one of regulation of order problems which cover by fuzzy dealings. Introduce a technique to convert and solve the problem by symmetric fuzzy approach. Suggest an algorithm and show how fuzzy LFPP can be answered without rising the Arithmetic potency. Our technique is used to convert complementarity multi-objective linear fractional programming problem (CMOLFPP) to LP through symmetric fuzzy linear fractional problem (SFLFP). To demonstrate the efficacy of the suggested technique, a numerical example is presented. then compared the result with other techniques fuzzy linear fractional programming (FLFP) which are solved by using computer applications to test the algorithm of the above method to indicate that the results obtained by such approach are promising.Gravitational evaluation algorithm for global optimization problem
https://ijnaa.semnan.ac.ir/article_6248.html
This work proposes a new metaheuristic technique that combines Differential evolution (DE) with gravity search in a consistent manner. Swarm intelligence benefits and the concept of tensile strength between two particles are combined to suggest superior meta-heuristic approaches for limitless optimization issues. The goal of this paper is to create a new algorithm that overcomes the shortcomings of the Gravitational search algorithm by leveraging the advantages of the Differential evolution algorithm in expanding search areas, overcoming early convergence problems, and improving the attractive algorithm's ability to converge towards the optimum. The GSA algorithm has been utilized in a search-oriented algorithm, whereas the Differential evolution algorithm is causing a high level of diversification in society, which leads to the establishment of search regions for the GSA algorithm. The effectiveness of the suggested approach was evaluated by solving a collection of 30 Real-Parameter Numerical Optimization problems that were presented at &nbsp;IEEE-CEC 2014. The findings are compared to 5 state-of-the-art unconstrained problem algorithms and 6 state-of-the-art unconstrained problem algorithms. &nbsp;The winner methods were also deduced from the results using the Wilcoxon signed test.Providing a behavioral model of mental accounting decision-making based on psychological components through data theory and meta-composition
https://ijnaa.semnan.ac.ir/article_6437.html
Mental accounting is a description of the ways in which they do these things. Based on the concept of mental accounting, people in their financial decisions to evaluate each decision, open a separate account in mind and try to examine the consequences of each decision (positive or negative) alone. This research seeks modeling through grounded theory method. Because we are looking to provide a model. This research is based on the systematic method of grounded theory. In this method, after identifying the research problem and reviewing the previous literature, sampling is done. Data were collected through interviews with 15 experts in the field of research. The method of selecting experts was through the method of snowball. Studies show that people's decisions are not always logically consistent with the decision models introduced in the financial texts. Investors should consider their vision as an account for a specific purpose and have a long-term vision. Because short-term goals usually outweigh long-term goals and lead to the use of mental accounts. Having an empty mind means doing something empty-handed and having mental accounting means having enough information about a subject or a subject. Therefore, planning is not possible without mental accounting.Efficient quadrature methods for solving Hammerstein integral equations on the half-line
https://ijnaa.semnan.ac.ir/article_6270.html
In this paper, we proposed two numerical methods to solve the nonlinear integral equations of Hammerstein type on the half line. By using a Sinc-Nystr&ouml;m method based on Single-Exponential (SE) and Double-Exponential (DE) transformations, the problem is converted into a nonlinear system of equations. We provided an error analysis of the proposed schemes and showed that these methods have exponential convergence rates. Finally, several numerical examples are given to show the effectiveness of the methods.Different types of dominating sets of the discrete topological graph
https://ijnaa.semnan.ac.ir/article_6452.html
The dominating problem is one of the topics in graph theory because of its applications in different areas. In this paper, some dominating sets are applied in the discrete topological graph. Such as independent domination, connected domination, doubly connected domination, total domination, restrained domination, strongly domination and co-neighborhood domination with their inverses.Integral inequality for the polar derivatives of polynomials
https://ijnaa.semnan.ac.ir/article_6506.html
Let $P(z)$ be a polynomial of degree $n$ and for any complex number $\alpha$, let $$D_{\alpha}P(z)= nP(z) + (\alpha - z)P^{\prime}(z)$$ denote the polar derivative of $P(z)$ with respect to a complex number $\alpha$. &nbsp; In this paper, we prove some $L_{r}$ inequalities for the polar derivative of a polynomial have all zeros in $|z| \leq &nbsp;1$. Our theorem generalizes a result of Dewan and Mir [K. K. Dewan, A. Mir, {\it Inequalities for the polar derivative of a polynomial}, J. Interd. Math. &nbsp;10 (2007), no. 4, &nbsp;525--531] and includes as special cases several interesting many known results.Provide a model of auditors' professional ethics behaviour with emphasis on ethical climate using interpretive structural modelling from the professional experts’ perspective
https://ijnaa.semnan.ac.ir/article_6470.html
Many audit failures are due to ethical slips and unethical behaviours, and auditors&rsquo; understanding of the ethical climate can affect auditors&rsquo; behaviour and attitudes. The purpose of this study is to provide a model of auditors&rsquo; professional ethics behaviour with emphasis on the ethical climate and it has been conducted based on two qualitative and quantitative approaches by selecting 10 experts from the community of certified public accountants through purposive sampling. In the first part, we identified the indicators using library studies and specialized interviewing. Theme analysis and fuzzy Delphi technique were applied to analyse the qualitative data and screen the indicators respectively. In the next step, a model was developed using the quantitative method of ISM. According to our findings, the most fundamental constructs influencing auditors&rsquo; professional ethics are ethical climate, economic conditions, social culture, ethical ideology, organizational structure, management and leadership, policy and policy-making, monitoring and evaluation, skills and potentials, personal characteristics, recruitment and retention, Professional commitments and job ethics.Accordingly, the audit organization can create and develop an ethical climate and use other identified factors to add more dynamism to the auditors&rsquo; professional ethics, improve ethical and professional standards and enhance the auditors&rsquo; capabilities and public trust.The preimage of $A_\infty (Q_0)$ for the local Hardy-Littlewood maximal operator
https://ijnaa.semnan.ac.ir/article_6463.html
We describe here all those weight functions $u$ such that $Mu\in A_{\infty }\left( Q\right) $ for $M$ the local Hardy-Littlewood maximal operator restricted to a cube $Q\subset \mathbb{R}^{n}$. In a recent paper it is shown that for the maximal operator in $\mathbb{R}^{n}$, $Mu\in A_{\infty }$ &nbsp;implies that $Mu\in A_{1}$; here we see that the same is true for the local $M$ but this imposes a stronger condition for weights in $Q$, that is, for $M$ &nbsp;restricted to a finite cube $Mu\in A_{\infty }$ if and only if $u\in A_{\infty }$. This differs from the case in $\mathbb{R}^{n}$ where there are weights &nbsp;$u$ not belonging to $A_{\infty } $ such that $Mu$ is in $A_{\infty }$. As an application we get a new shorter proof of a result of I. Wik. We also give a &nbsp;characterization for those weights in terms the $K$-functional of Peetre.Stability and some results of triple effect domination
https://ijnaa.semnan.ac.ir/article_6473.html
Let $G=(V, E)$ be a graph without isolated vertices. A subset $D \subseteq V$ is triple effect dominating set, if every vertex in $D$ dominates exactly three vertices of $V-D$. The triple effect domination number $\gamma_{t e}(G)$ is the minimum cardinality over all triple effect dominating sets in $G$. In this paper, the triple effect domination number $\gamma_{t e}(G)$ is studied to be changing or not after adding or deleting edge or deleting vertex. Some conditions are putted on the graph to be affected or not with several results and examples. Then, the triple effect domination and its inverse is applied on several graphs obtained from complement, join and corona operations.Role of psychological structures in accounting-related decision making styles
https://ijnaa.semnan.ac.ir/article_6225.html
Decision making can be considered as the brain of an organization and is able to give rise to individuals and organizations. On the other hand, it can lead to their failure. To do so, the aim of the current study is to evaluate psychological effects on accounting-related decision making (decision making styles). To examine psychological structures, these components were applied: shortsightedness, optimization, self-attribution bias, anchoring bias, ambiguity aversion. And to measure accounting-related decision making, decision making styles such as rational, intuitive, dependent, spontaneous and avoidant decision makings were used. In terms of purpose, this research is an applied one, and in terms of the method used for gathering data, it is descriptive-analytical as survey type according to structural modelling attitude. The population of the study is finance directors active in the capital market. To collect data standard questionnaire has been used. In this research, we put the light on the prediction of cause-and-effect relationships among (structure of corporate governance) and health of the company. The results showed that among psychological structures optimization has an influence on the intuitive decision, like that of imaginative power on spontaneous decision making, and self-attribution on spontaneous, avoidant, rational, intuitive, and dependent decision makings. Short-sightedness affects spontaneous, avoidant, and dependent decision making as well.On fixed point approximation method for finite family of $k$-strictly pseudo-contractive mappings and pseudomonotone equilibrium problem in Hadamard space.
https://ijnaa.semnan.ac.ir/article_6480.html
In this paper, we first introduce the Halpern iteration process for approximating the solution of the fixed point problem of a finite family of $k$-strictly pseudo-contractive mappings in Hadamard spaces. We also propose an extra gradient Halpern iterative algorithm for approximating a common solution of a finite family of $k_j$-strictly pseudocontractive mappings and a pseudomonotone equilibrium problem in Hadamard space. We prove a strong convergence result without imposing any strict (compactness) conditions for approximating the solutions to the aforementioned problems. We state some consequences of our results and display some numerical examples to show the performance of our results. Our results improve and generalize many recent results in the literature.Efficient analytical method for the solution of some fractional -order nonlinear differential equations
https://ijnaa.semnan.ac.ir/article_6498.html
A novel technique called the Variational Adomian decomposition method (VIADM) is used to approximate an analytical solution for several types of non-linear fractional differential equations. Some examples are presented to back up our findings. The solution procedure and results indicated that the proposed method is very effective, reliable, and straightforward. The results show how effective and precise the present technology is at resolving various nonlinear problems in applied science. The MATLAB software carried out all the computations and graphics. Fractional derivatives are mentioned in Caputo Sense. Moreover, a graphical representation was made for the solution of some examples. For integer and fractional order problems, solution graphs are shown.Evaluation of the use of business process reengineering (BPR) for improving business-IT alignment by utilizing the intelligent decision support system (IDSS)
https://ijnaa.semnan.ac.ir/article_6511.html
The present study aimed to evaluate the use of business process reengineering (BPR) to improve the business-IT alignment in knowledge-based businesses in Tehran by MATLAB programming software. The research issues included the ambiguity and fatigue of decision-makers and managers of knowledge-based businesses in Tehran due to the combination of different methods of evaluating the use of BPR to improve the business-IT alignment. Using the intelligent system, the status of "improving the alignment of IT with knowledge-based businesses of Tehran" can be examined numerically and more accurately: From the perspective of ideal importance, if the state of "IT service business strategy process reengineering (X1)" is good, i.e. 0.813, and "IT service business design process reengineering (X2)" is good, i.e. 0.824, and "IT service business transfer process reengineering (X3)" is good, i.e. 0.819, and "IT service business operation process reengineering (X4)", i.e. 0.812, and "IT service business continuous improvement process reengineering (X5)" is good, i.e. 0.815, then the state of "improving the alignment of IT with Tehran knowledge-based businesses" is at the "excellent (fifth level)" level, i.e. 0.952. According to the membership functions of linguistic variables by experts, the value of 4.76 within a 5-value range in the range defined for the "excellent" linguistic variable, i.e. the state of improving the alignment of IT with knowledge-based businesses in Tehran was obtained equal to 0.952 with a programming code [0.813; 0.824; 0.819; 0.812; 0.815].A new extragradient-viscosity algorithm for finite families of asymptotically nonexpansive mappings and variational inequality problems in Banach spaces
https://ijnaa.semnan.ac.ir/article_6499.html
ln this paper, a new approach for finding common element of the set of solutions of the variational inequality problem for accretive mappings and the set of fixed points for asymptotically nonexpansive mappings is introduced and studied. Consequently, strong convergence results for finite families of asymptotically nonexpansive mappings and variational inequality problems are established in the setting of uniformly convex Banach space and 2-uniformly smooth Banach space. Furthermore, we prove that a slight modification of our novel scheme could be applied in finding common element of solution of variational inequality problems in Hilbert space. Our results improve, extend and generalize several recently announced results in literature.Solving cubic objective function programming problem by modification simplex method
https://ijnaa.semnan.ac.ir/article_6485.html
In this paper, a cubic objective programming problem (COPP)is defined, which is in the form of multiplying three linear functions. The simplex method is modified to solve a cubic objective programming problem. An algorithm for its solution is suggested. The algorithm of the usual simplex method is also reported. A vital application talks about how the developed algorithm can be utilized to unravel non-linear. The proposed technique can be illustrated with the constructed numerical examples and it showed steps by tables. The results of the study indicate that the new technique, modified simplex, gets the same result which is exactly similar to other methods such us (quadratic, linear simplex method).A new improved gray wolf optimization algorithm to solve the aircraft landing problem at Mashhad Shahid Hasheminejad International Airport
https://ijnaa.semnan.ac.ir/article_6765.html
Air traffic management is a sensitive and stressful job with various daily problems and obstacles. The aircraft landing problem is one of the most important issues addressed currently in flight surveillance. This issue has several optimal local points. Gradient-based algorithms cannot produce an optimal solution in a reasonable time to solve this problem. Meta-heuristic algorithms are used to solve such problems. Since landing earlier or later than the scheduled time will lead to higher costs for each aircraft, this article aims at minimizing the time deviation from the originally scheduled landing time of each flight. The Gray Wolf Algorithm is a new meta-heuristic algorithm inspired by wolf behaviour. However, it has a problem with global and local searches. To solve this problem, the fitness of each wolf is assigned a weight and the new member is obtained using those weights. In addition, in order to increase the local and global search capability of the algorithm, if a condition with a probability of 0.3 is met, a random search is performed around the position of the best wolf. Otherwise, by setting a condition with a probability of 0.1, a global search is performed as the mutation operator around a selected wolf. This improves the algorithm's ability to search globally and locally. In order to evaluate this algorithm in solving the problem, its result is compared with the algorithms of particle swarm optimization, firefly and the common Gray Wolf. The results show a very high performance of this algorithm compared to other similar algorithms.Approximation of common fixed points of a finite family of total asymptotically demicontraction semigroup
https://ijnaa.semnan.ac.ir/article_6508.html
The purpose of this article is to introduce an implicit iterative algorithm which contains several well known existing iterative methods. We study the strong convergence of the proposed iteration process to the common fixed points of a finite family of uniformly L-Lipschitzian total asymptotically demicontraction semigroup in Banach spaces. The results presented in this article extend, generalize, unify and &nbsp;improve the corresponding results of several authors in the existing literature.Existence, uniqueness and continuous dependence of solution to random delay differential equation of fractional order
https://ijnaa.semnan.ac.ir/article_6483.html
In this paper, we aim to prove the existence, uniqueness of the solution to the random delay differential equation of fractional order involving the successive approximation method. Moreover, using the Gronwall inequality, we study the continuous dependence of solution in the mean square sense of the problem. Finally, the fractional $\epsilon$-approximate solution in the mean square sense is also considered.Designing a human resource productivity model with a system dynamics approach in the health sector
https://ijnaa.semnan.ac.ir/article_6515.html
The present study aimed to model and present a model of human resource productivity with a system dynamics approach in the health sector of East Azerbaijan province using a systemic approach. The research method was developmental in terms of purpose and had a qualitative approach. The questionnaires and open interviews with experts in addition to the literature review were used to collect data. Data were analyzed according to the systems dynamics approach by drawing cause and effect loops, and flow diagrams in Vensim DSS software, and thus the system behavior and the impact of different policies on it were tested. In the present research, the important factors in calculating the human resource productivity included the labor number in the organization, education and especially in-service education, the existence of appropriate geographical coverage of health facilities in the province, and staff research activities. After creating a stock and flow diagram and determining quantitative and mathematical relationships for variables with the help of experts in the health sector, the human resource productivity model was first tested and validated in terms of overall structure and relationships between components. Finally, the model was simulated to examine the dynamics hypothesis, and scenarios were presented for improving the level of human resource productivity in the health sector compared to the current status.Approximating common fixed points of mean nonexpansive mappings in hyperbolic spaces
https://ijnaa.semnan.ac.ir/article_6438.html
In this paper, we prove some fixed points properties and demiclosedness principle for mean nonexpansive mapping in uniformly convex hyperbolic spaces. We further propose an iterative scheme for approximating a common fixed point of two mean nonexpansive mappings and establish some strong and $\bigtriangleup$-convergence theorems for these mappings in uniformly convex hyperbolic spaces. The results obtained in this paper extend and generalize corresponding results in uniformly convex Banach spaces, CAT(0) spaces and other related results in literature.New algorithm for robot localization based on BrunsVigia optimization algorithm
https://ijnaa.semnan.ac.ir/article_6526.html
Two problems with Particle Filters (PF) are particle impoverishment and degeneracy. Resampling is introduced to solve degeneracy problem which happens when the majority of the particles have very small weight and a few particles have large weights and sample&rsquo;s weight variance is too high. Resampling ignores the less informative particles by replacing them with the better ones but it can results in sample impoverishment or diversity loss problem in the particles if there is no controlling mechanism. BrunsVigia Optimization Algorithm (BVOA) is applied in this paper as an extra step to Pf in order to avoid these problems. Operators of BVOA balance between exploration and exploitation and as the result the optimized PF will put much emphasize on more informative particles while keeping the diversity among them. The optimized PF using BVOA, namely BVOA\_PF, is tested in localization problem in a simulating environment. Application of BVOA\_PF in localization and comparing the simulation results with two well-known optimization algorithms as PSO and GWO verify the efficiency of BVOA in real applications like robot localization.Solving quadratic programming problem via dynamic programming approach
https://ijnaa.semnan.ac.ir/article_6421.html
In this paper, we define the dynamic programming approach to solve quadratic programming problem when the objective function can be written as the product of two linear factors with single linear constraint. An algorithm is proposed for solving such problems, we also solved the problems by simplex method to obtained the exact solution as dynamic programming technique. To demonstrate our proposed method, numerical examples are also illustratedOn new generalization of Fejer type inequalities for double integrals
https://ijnaa.semnan.ac.ir/article_6527.html
In this article, we first establish weighted identities based on twice partially differentiable mappings. Moreover, utilizing this equality, we derive &nbsp;the weighted Hermite-Hadamard type inequalities via co-ordinated convex mappings in a rectangle from the plane $\mathbb{R}^{2}$. More specifically, we establish new inequalities using the Holder and power-mean inequalities. In addition, we obtain new results with special choices.Coincidence and common fixed points in metric space over Banach algebra
https://ijnaa.semnan.ac.ir/article_6487.html
The purpose of this paper is to obtain coincidence and common fixed point theorems for two pairs of weakly commuting self mappings in cone metric space over unital Banach algebra. Moreover, an example is given in the support of the main result and show that the result is more general than the results in present literature.A DWT-ANC error entropy criterion based single-channel EEG signal EOG noise reduction
https://ijnaa.semnan.ac.ir/article_6529.html
Adaptive noise cancellation (ANC) for all intents and purposes is one of the most very common methods of canceling noise from EEG signals, which definitely is quite significant. However, there are two actually main problems with the adaptive noise canceling method of EEG signals: 1, or so they generally thought. The reference sort of signal for all intents and purposes is not available for the adaptive filter which should for the most part be an estimate of pollutant noise, demonstrating that adaptive noise cancellation (ANC) mostly is one of the most kind of common methods of canceling noise from EEG signals in a really major way. 2, or so they really thought. The MSE particularly standard specifically is usually used to specifically reduce the error of the adaptive filter, fairly further showing how adaptive noise cancellation (ANC) literally is one of the most really common methods of canceling noise from EEG signals, or so they essentially thought. Since the EEG particularly signal and EOG artifact kind of are non-Gaussian, it actually is not kind of appropriate to use the MSE criterion that only considers second-order error in a subtle way. We employed an adaptive noise definitely removal method in this research, which is fairly significant and used DWT to create an estimate of the EOG noise, which was then fed into the ANC reference's input. To decrease the error signal, the error entropy criteria is also employed instead of MSE. In terms of RRMSE, SNR, and coherence studies, the simulation results show that the proposed system outperforms previous methodologies.Application of reproducing kernel Hilbert space method for generalized 1-D linear telegraph equation
https://ijnaa.semnan.ac.ir/article_6486.html
This paper presents the generalized 1-D linear telegraph equation. We have solved this equation by the Reproducing Kernel Hilbert Space (RKHS) method and compared it with other methods like fourth-order compact difference and alternating direction implicit schemes and meshless local radial point interpolation (MLRPI). Comparing the results of these three methods as well as comparing the exact solution, indicating the efficiency and validity of RKHS. The uniformly converges of the computed solution to the analytical solution are proved. Note that the procedure is easy to implement, and it no needs discretization, and is mesh-free too.Designing and explaining the IoT commercialization model in Iranian organizations (Telecommunication Company of Iran): An interpretive structural modeling (ISM) approach
https://ijnaa.semnan.ac.ir/article_6537.html
The present study aimed to design and explain the IoT commercialization model in Iranian organizations (Telecommunication Company of Iran). A mixed-methods approach with the exploratory design method was used in the study. In the qualitative phase, the content qualitative analysis method was used by interviewing 21 telecommunications managers as well as IT professors and experts. In the quantitative phase, a questionnaire with a statistical sample of 400 individuals was used using the Interpretive Structural Modeling (ISM) approach. In the qualitative phase, the paradigm model of IoT commercialisation is detected in the roles of causal, contextual, intervening conditions, strategies, main phenomena and consequences, design and development of the country's telecommunication infrastructure, full utilization of all communication power with real and legal customers, increasing the power of analysis in the dimensions of telecommunication business, moving towards integration of telecommunication services, strengthening the understanding of customers and their needs, collecting data, transmitting the selected data through communication networks, evaluating and estimating data, and responding to access information for the main phenomenon and were confirmed in the quantitative phase.An iterative algorithm for nonlinear fractional-order oscillators with modified Riemann-Liouville derivative
https://ijnaa.semnan.ac.ir/article_6474.html
This paper presents an iterative analytic algorithm for the approximate solution of nonlinear fractional-order oscillators. The He fractional transform was applied to convert the fractional-order model, defined by a modified Riemann-Liouville derivative, to a model in continuous spacetime. Then, the approximate solution of the continuous model was applied to obtain an approximate solution for the fractional-order oscillator. The solution was obtained using the continuous piecewise linearization method (CPLM), which is a simple, accurate and efficient analytic algorithm. The applicability of the CPLM was demonstrated using representative examples in science and engineering and the maximum relative error of the approximate solution was found to be less than 0.2 per cent. This paper provides an analytical tool that can be applied in the study of fractional-order oscillations arising in various physical systems and technological processes.Efficient recommendations in collaborative filtering recommender system: A multi-objective evolutionary approach based on NSGA-II algorithm
https://ijnaa.semnan.ac.ir/article_6549.html
The final objective of the Recommender Systems (RSs) is to offer recommendations to the user that are close to his/her taste. When the user enters the system, the most similar data cluster to the user&rsquo;s taste can be selected, and by creating a neighborhood of the users similar to him/her within the selected cluster, the proposal generation can be followed. Determining the appropriate number of neighbors of the user can lead to increased accuracy of the recommendations made. Due to the enormous size of the datasets, this requires more time. This study aimed to propose recommendations with the highest accuracy and in the shortest possible time through finding the best number of neighbors for the user applying the NSGA-II Multi-Objective Evolutionary Algorithm (MOEA). Here two objects of accuracy and time of recommendations are in a multi-objective state, thus a balance should be created between the two conflict objects. The simulation results on the MovieLens 100K, MovieLens 1M, Netflix and FilmTrust standard datasets indicated that the proposed MOEA was capable of providing recommendations with greater accuracy and at the proper time, hence it could improve the Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Coverage, Precision, Recall and Fmeasure criteria.Hermite-Hadamard type fractional integral inequalities for strongly generalized-prequasi-invex function
https://ijnaa.semnan.ac.ir/article_6471.html
In this research paper we studied strongly generalized-prequasi-invex function. Built on the new definition, $k$-Riemann&ndash;Liouville fractional integral inequalities for strongly generalized-prequasi-invex &nbsp;functions are estimated. A bunch of new Hermite&ndash;Hadamard type Inequalities in this direction via &nbsp;Katugampola fractional integrals are also derived.Examining external shocks and welfare losses with emphasis on monetary rule
https://ijnaa.semnan.ac.ir/article_6551.html
The economies of countries may face a variety of shocks driven by various factors, leading to high economic and non-economic costs. Therefore, it is essential to investigate different external shocks in the economy, as well as how these shocks can be managed. Accordingly, this study aims to investigate the effect of external shocks (global oil price shock, global inflation, and foreign interest) on macroeconomic variables. This study also seeks to examine a type of monetary policy consistent with Iran's economic conditions. Focusing on the New Keynesian School of thought, this study develops a stochastic dynamic general equilibrium (SDGE) model compatible with the situation of Iran. This model is comprised of these sectors: household, oil, non-oil, import, final goods production, and government. After performing linearization procedures, this study analyses the shocks responses and results, with a focus on the three rules of monetary policy (headline inflation, core inflation targeting, and exchange rate) for the purpose of optimal monetary policy. Studies show increasing number of variables being investigated, but in some cases, this trend has quickly reached stability, yielding an appropriate pattern for adopting the optimal policy. However, in some cases, including GDP, we experience a decreasing response of variables regarding the adoption of headline inflation and exchange rate policies. Consequently, it is necessary to evaluate the appropriate policy. Regarding the deadweight loss in relation to the three monetary rules, the findings of this study show that in the face of volatilities studied, household deadweight loss is affected more strongly by headline inflation rule than the other two policies. In contrast the exchange rate rule plays a less important in the amount of deadweight loss.The disc structures of A4-graph for particular untwisted groups
https://ijnaa.semnan.ac.ir/article_6478.html
Let $t$ be an elements of order 3 in a finite simple group $\mathrm{G}$. Let $\mathrm{X}=t^{\mathrm{G}}$ be a conjugacy class of $t$ in $\mathrm{G}$. The A4-graph, represented as $A_{4}(\mathrm{G}, \mathrm{X})$, is a simple graph has $\mathrm{X}$ as a vertex set and two vertices $x, y \in \mathrm{X}$, joined by edge whenever $\mathrm{x} \neq \mathrm{y}$ and $x y^{-1}=y x^{-1}$. In this paper, we investigate the discs structure and determine the clique number, girth and diameter of $A_{4}(\mathrm{G}, \mathrm{X})$ when $\mathrm{G}$ is isomorphic to one of the untwisted groups $\mathrm{G}_{2}(2)^{\prime}, \mathrm{G}_{2}(3)$ or $\mathrm{G}_{2}(4)$.Stability and superstability of n-Jordan ∗-homomorphisms in Frechet locally C*-algebras
https://ijnaa.semnan.ac.ir/article_6552.html
Using fixed point methods, we prove the Hyers-Ulam stability and the superstability of $n$-Jordan $*$-homomorphisms in Fr\'echet locally $C^*$-algebras for the generalized Jensen-type functional equation$$r f\left(\frac{ a+b}{ r} \right) + r f\left( \frac{a-b}{r}\right) =2f(a),$$where $r$ is a fixed &nbsp;real number greater than $1$.Investigating the weak managers' ethical behaviours on stock price crash risk and the financial reporting quality
https://ijnaa.semnan.ac.ir/article_6763.html
Changes in stock prices in the market are considered normal; but, the issue that always worries investors is the issue of sudden changes in stock prices. Also, one of the major sources of information used by capital market participants is the financial reports published by the companies, periodically made available to the public as the basis for the potential and actual investor decisions to buy and sell and invest in the stock market. Therefore, the ethical behaviour of managers in the organisation is considered as a key factor in the success of the organisation and gaining the trust of investors. Therefore, based on this argument, the purpose of this study is to design a model to examine the weak managers' ethical behaviours on stock price crash risk and financial reporting quality using a sample of 134 companies listed on the Tehran Stock Exchange from 2018 to 2020. Also, the research hypotheses test was conducted using structural equation modelling. The results showed that the weak ethical behaviours of managers in the companies increase stock price crash risk. The second hypothesis also shows that the weak managers' ethical behaviours also reduce financial reporting qualityEffective model of technical and vocational education on the labor market
https://ijnaa.semnan.ac.ir/article_6558.html
This mixed study aimed to propose a cooperation model between the labor market and technical and vocational education using an exploratory method and structural equation model. The qualitative population included university professors and experts in education and business management, as well as experts in technical and professional organizations, who were selected by a non-random and purposive snowball sampling method (10 people). The statistical population was 1371 principals of technical and vocational schools in West Azerbaijan province, employers, and managers of production and service units located in West Azerbaijan province. The sample size was estimated as many as 300 people using Morgan Krejcie's table. The interview and a researcher-made questionnaire according to the outputs of the interview section were used to collect data. A total of eight components and 70 indicators were identified and finally approved by experts to present the model. Technology, human resources, skills training, entrepreneurial attitude, job training, entrepreneurial behaviors, job opportunities in the labor market, and career path in the labor market were identified as dimensions in developing a suitable model for measuring the cooperation between the labor market and technical and vocational education. According to the results, all the relationships between the model variables were confirmed because the significant number of paths between all variables was greater than 1.96, and the significant levels were less than 0.05 and even 0.01.Some new Hermite-Hadamard type inequalities for functions whose absolute value of the third derivative are MT-convex functions with applications
https://ijnaa.semnan.ac.ir/article_6545.html
This paper is concerned to establish new variants of the well-known Hermite-Hadamard (HH) inequality for 3-times differentiable functions. Under the utility of these identities, we establish some new inequalities for the class of functions whose absolute value of the third derivative are MT-convex. The results presented here would provide generalizations of those given in earlier works. Finally, we present applications of our findings for means of real numbers and applications for particular functions are pointed out.Diffeological gyrogroups
https://ijnaa.semnan.ac.ir/article_6560.html
This work is intended to probe the connections between the diffeology and gyrogroup by introducing the notion of diffeological gyrogroup and proceeding with the study of some basic facts about it. The theory is developed by the study of smooth action of a diffeological gyrogroup.&nbsp; &nbsp;&nbsp;Solving delay differential equations via Sumudu transform
https://ijnaa.semnan.ac.ir/article_6465.html
A new technique which is known as Sumudu Transform Method (STM) is instituted for solving delay differential equations. STM is used to obtain the solutions of general nonlinear systems. The strength of STM is illustrated in reducing the complex computational work as compared to the well-known methods. This paper shows how to succinctly identify the Lagrange multipliers for nonlinear delay differential equations with variable coefficients, using the STM. The potency and suitability of the STM are exhibited by giving expository examples. The method is used to obtain the exact and approximate solutions of pantograph type equations with variable coefficients and nonlinear Volterra integro-differential equations of pantograph type.Henstock-Kurzweil-Stieltjes-$\Diamond $-double integral for Gronwall-Bellman's type lemma on time scales
https://ijnaa.semnan.ac.ir/article_6563.html
We discuss some new results for Gronwall&rsquo;s type inequality on time scales. An analysis of the behavior of the solutions of some hyperbolic partial diﬀerential equations as applicable to our results is considered.On some numerical methods for solving large-scale differential T-Lyapunov matrix equations
https://ijnaa.semnan.ac.ir/article_6461.html
In this paper, we present two new approaches to solve large-scale differential T-Lyapunov equations. The first one is based on the extended block Krylov subspaces, and the second is based on the extended global Krylov subspaces, using the first projection of the initial problem onto an extended block (or global) Krylov subspaces to get a small-scale differential T-Lyapunov equation. The latter problem is resolved by iterative methods (Rosenbrock or BDF method), then the obtained solution is used to create a low-rank approximate solution of the original problem. This process is being replicated, which increases the dimension of the projection space until some planned accuracy is achieved. We give some new theoretical results and numerical experiments then we compare the new approaches.Superstability of the $p$-radical sine functional equation
https://ijnaa.semnan.ac.ir/article_6567.html
In this paper, we investigate the transferred superstability of the $p$-radical functional equation&nbsp; &nbsp; \begin{equation*}&nbsp; &nbsp; &nbsp; &nbsp; f\left(\sqrt[p]{\frac{x^{p}+y^{p}}{2}}\right)^{2} -f\left(\sqrt[p]{\frac{x^{p}-y^{p}}{2}}\right)^{2} =f(x)f(y)&nbsp; &nbsp; \end{equation*}with respect to the sine functional quation from the Pexider type $p$-radical functional equation&nbsp; $f\left(\sqrt[p]{x^{p}+y^{p}}\right) +g\left(\sqrt[p]{x^{p}-y^{p}}\right)=\lambda \cdot h(x)k(y)$, &nbsp; &nbsp; where $p$ is an odd positive integer and $f$ is a complex valued &nbsp;function. Furthermore, the results are applied to the stability of the &nbsp;cosine type $p$-radical functional equations.&nbsp;The arrow edge domination in graphs
https://ijnaa.semnan.ac.ir/article_6390.html
The idea of this paper is to study the arrow edge domination. The arrow edge dominating set $D_{e}$ of a graph $G$ is an arrow edge dominating set if every edge from $D$ dominates exactly one edge from $V-D$ and is adjacent to two or more edges from $D$. The arrow edge domination number $\gamma_{\text {are }}(G)$ is the minimum cardinality of all arrow edge dominating sets in $G$. Several properties and bounds are introduced here. Our results are applied in some graphs such that the path graph, cycle graph, complete graph, wheel graph, complete bipartite graph, Barbell graph, helm graph, big helm graph, complement path graph, complement cycle graph, the complement of complete graph and complement of complete bipartite graph. An important fact given here is if $G$ has no arrow vertex dominating set, then $G$ may have an arrow edge dominating set and an example is given.Factors affecting the detection of fraud in financial statements using structural equation modeling
https://ijnaa.semnan.ac.ir/article_6562.html
The costs of fraud, both socially and financially, affect citizenship trust. The shadow of such distrust lies on the stock exchange and other investment institutions, and it will take a long way to get out of this dreadful shadow. Therefore, considering the importance and significant costs of financial fraud, this study seeks to predict fraud in financial statements using court accounting components. The statistical population includes three groups of accounting professions (official expert of justice in the field of accounting and auditing, auditors and financial managers of Tehran province), academics (all universities in Tehran province that have accounting and law), law and jurisprudence (lawyers and judges) is in Tehran province. Due to the infinity of the population, with the help of Cochran's formula, the sample size was 384 people. The results of structural equation method showed that each of the variables of essential traits of court accountants, basic skills of court accountants, advanced skills of court accountants and Islamic moral values of court accountants have a positive and significant effect on fraud detection.Recovery of gold nanoparticles from electronic solid waste: An experimental design and mathematical approach
https://ijnaa.semnan.ac.ir/article_6462.html
Due to the growing consumption of gold metal and its various applications, gold recovery is very important. The element gold is an electron-bearing particle that can be used in a variety of applications such as medicine, engineering, and biology by changing its surface activity and particle size. The purpose of this study is to recover gold metal in the form of gold nanoparticles from electronic solid waste. For this purpose and to better investigate the effect of factors affecting the extraction of gold nanoparticles, the response method has been used in the experimental design. The innovation is to make gold nanoparticles with the smallest particle size with the help of reducing materials and in a cost-effective way while saving energy and also the highest recovery rate. In order to make gold nanoparticles, there are different methods such as physical, chemical and biological methods. Among these three methods, the use of the chemical method has been selected for this research. The material for extraction was royal acid, and parameters such as pH, the amount of royal acid and the temperature of the solution on the gold extraction efficiency were examined. The final nanoparticles were analyzed using XRD, FESEM, EDX and TEM analyzes. In order to determine the effectiveness of each variable and to determine which of the studied variables has the greatest impact on the gold recovery process, statistical methods were used. The variables of pH, solution temperature and the amount of Soltani acid had the greatest effect on the recovery of gold nanoparticles, respectively. According to the information obtained from Design-Expert software, at a temperature of 60 &deg; C and a pH of 8 and 200 ml of Soltani acid solution, the recovery rate of gold nanoparticles was 97.3\%.Fixed points and stability of new approximation algorithms for contractive-type operators in normed linear spaces
https://ijnaa.semnan.ac.ir/article_6568.html
In this paper, new iterative schemes called DI-iterative scheme, Chugh-DI iterative scheme and IH-iterative scheme are introduced and studied. In addition, convergence and stability results were obtained without necessarily imposing 'sum conditions' on the iteration parameters, which , among other things, increase the bulkiness and complexity of computations as was the case for several works studiedso far in literature.Inequalities for a class of rational functions
https://ijnaa.semnan.ac.ir/article_6547.html
In this paper, we consider a more general class of rational functions $r(s(z)),$ of degree $mn,$ with $s(z)$ being a polynomial of degree $m.$ Our results not only generalize the results due to Wali and Shah [JOA, \textbf{25} (2017), no. 1, 43-53] but also improve the results obtained by Qasim and Liman [Indian. J. Pure Appl. Math. \textbf{46} (2015), no. 3, 337-348] and Mir [Indian J. Pure Appl. Math. \textbf{50} (2019), no. 2, 315-331]. &nbsp; &nbsp;Factors affecting financial statements proportional to entrepreneurial marketing using fuzzy Delphi method and structural equation model (Case study: National Company of South-Ahvaz Oilfields
https://ijnaa.semnan.ac.ir/article_6569.html
The main purpose of this study is to present and explain the pattern of financial statements in accordance with the entrepreneurial marketing of companies (Case study: National Company of South-Ahvaz Oil Fields). This research is applied in terms of purpose and descriptive-survey in terms of nature. Data were collected using a researcher-made questionnaire that was approved by experts. The statistical community in the qualitative sector consists of experts and knowledgeable individuals and managers aware of marketing and financial management in the oil industry. The number of these people is 20. A small part of the statistical population includes experts, managers and staff members of the National Company for the Southern Oilfields of Yudha, numbering 570 people. The number of samples in the quantitative section was selected according to Morgan table 234 people. The results of data analysis showed that the ten dimensions of financial information location, financial information interconnection, financial information classification management, cash flow statement preparation, separation and separation of financial information, comparative table, liquidity and flexibility Risk-taking, value-creating, and resource leveraging by experts were obtained in semi-structured interviews and the Delphi method. The coefficients obtained from structural equations show that the above variables (Location information, Interconnectedness of financial information, Financial information classification management, Cash Flow Statements, Separation of financial information, Comparative table, Liquidity and flexibility, Risk taking, Risk taking, Create value, Leverage resources) have a positive and significant effect on Financial statements.Interharmonics estimation using hybrid multi sine cosine algorithm
https://ijnaa.semnan.ac.ir/article_6453.html
The existence of nonlinear loads and switching converters for wind and solar energy systems create distorted sinusoidal waveforms in power systems. The distorted signals are comprised of harmonic and inter harmonic frequency sinusoidal components that create disturbances like flicker, overheating of equipment, electrical losses, control system and digital meter faults, weakening of electrical appliances and electromagnetic interferences with other apparatus. Accurate measurement of the inter harmonic distortion is significant to determine the quality of the power delivered. A novel method presented in this paper has been developed based on the hybridization of the sine wave correlation technique and multi sine-cosine algorithm (SWC-MSCA) for the estimation of inter harmonics. The suggested algorithm is validated with a standard power system test signal and compared with the other on similar competent algorithms given literature. The proposed estimator outperforms pertaining to exactness and computing effort. The suggested estimator is also employed for the prediction of inter harmonics on a grid-tied single-phase PV system.A numerical approach for solving a class of nonlinear fractional integro- differential equation with weakly Singular kernel by alternative legendary polynomials
https://ijnaa.semnan.ac.ir/article_6570.html
In this paper, we propose a new spectral approach based on alternative Legendre polynomials for solving nonlinear fractional integro-differential equations with weakly singular kernel. To do this, by the help of operational matrices of fractional integration and product based on these polynomials, we reduce the considered problem to a system of algebraic equations. Also, we investigate the error analysis of the proposed scheme. Finally, we present some numerical examples to show the high accuracy and validity of the new work.Influence of inclined magnetic field and heat transfer on peristaltic transfer Powell-Eyring fluid in asymmetric channel and porous medium
https://ijnaa.semnan.ac.ir/article_6469.html
Peristaltic motion of a magnetohydrodynamic Powell-Eyring fluid in an asymmetric channel with porous walls. medium is investigated in the present study. The modeling of Mathematic is created in the presence of a stable inclined magnetic field and the angle with the vertical axis can be made, using constitutive equations following the Powell-Eyring fluid model. In flow analysis, assumptions such as long wave length approximation and low Reynolds number are utilized. Closed form formulas for the stream function and mechanical efficiency are created. On the channel walls, pressure rise per wave length has been calculated numerically. The effects of the Hartman number (Ha), Darcy number (Da), material fluid (A), inclination of magnetic field ($ \beta $), porous media parameter (w), amplitude ratio($ \emptyset $), pumpinh, The effects of the magnetic field's inclination on axial velocity and entrapment are investigated in detail and graphically shown.Factors affecting the identification and prioritization of export industrial clusters of Iran to the eurasian economic union (case study: Gilan province)
https://ijnaa.semnan.ac.ir/article_6573.html
Today, organizations face competitive environments and always need radical and fundamental change. This competitive environment forces organizations to abandon their fixed work methods and replace them with new ones to make fundamental changes. Industrial clustering is conducted in almost all countries worldwide, and Iran tends to consider industrial clusters in scientific and decision-making meetings in decision-making and development programs. Competitive necessity is the essential issue of clustering and cluster-based policies. Therefore, this study aimed to identify and prioritize the effective factors in the industrial export clusters of Iran to the Eurasian Economic Union (case study: Gilan Province). This applied research employed a field implementation method and questionnaire and interview tools as exploratory research with quantitative and qualitative data. The validity and reliability of the questionnaires were confirmed. The population was industry experts and some professors in the industrial export clusters who were selected as a statistical sample through convenient judgment sampling (15 people) for localization of the model. Data collection was prepared and adjusted through a researcher-made questionnaire based on pair-wise comparisons of the mentioned components. Fuzzy DEMATEL methods and fuzzy network process analysis were used to analyze the data in Excel. First, the criteria were identified, and then its content validity was confirmed by university professors by studying and reviewing scientific texts. In addition, the reliability of the indices was confirmed by Cronbach's alpha greater than 0.7. Then, seven main factors and 21 important sub-factors were identified using the scoring technique. In the next step, the effectiveness of each factor was determined using the fuzzy DMATEL technique (F.DMATEL). The "governmental factor" with an impact value of 1.49 was the most influential, and the "Company structure factor" with a net impact value of -1.174 was the most impressive. The identified factors were prioritized with Fuzzy Network Analysis Process (F.ANP) technique. The results showed that the maximum weight is related to the company structure criterion. The factors of company structure, suppliers, resources, markets, infrastructure, and economy were in the next ranks, respectively. Finally, some recommendations were provided to senior managers and experts of Iran's export industrial clusters to the Eurasian Economic Union, especially in Gilan province.On vector variational-like inequality and vector optimization problem with $(G,\alpha)$-univexity
https://ijnaa.semnan.ac.ir/article_6451.html
In this paper, we introduce and study $(G,\alpha)$-univex functions by generalizing the $\alpha- $ univex functions and establishing relationships between vector variational-like inequality problems and vector optimization problems. Furthermore, we formulate equivalence among the vector critical points, weak efficient points of vector optimization problems and the solution of weak vector variational-like inequality problems under pseudo-$(G,\alpha)$-univexity assumptions. An example is also constructed to validate the main result.Characterizing $n$-multipliers on Banach algebras through zero products
https://ijnaa.semnan.ac.ir/article_6577.html
Let $A$ be a unital Banach algebra and $X$ be a unital $A$-bimodule. In this paper, among other things, we characterize $n$-multipliers $T: A\longrightarrow X$ by applying zero products preserving bilinear maps.We also describe $n$-multipliers from $C^*$-algebra $A$ into $X$ through the action on zero products.A fuzzy inference system for predicting relief goods demand in the different scenarios of occurrence earthquake
https://ijnaa.semnan.ac.ir/article_6694.html
Earthquake is one of the natural disasters that, depending on the scale, location, preventive measures, etc, can have financial and human effects to a large extent. Natural disasters have an uncertain nature. In other words, regarding the statistics related to such events, it is not possible to comment with high accuracy, which reveals the need to predict and estimate the dimensions of the possible effects of natural disasters. It should be noted that predicting the demand for relief goods and estimating the number of injured and displaced people as a result of these disasters can increase the efficiency of rescue operations and reduce the duration of this process, resulting in more services and reducing casualties and costs. According to the mentioned cases and the necessity of conducting effective research from different aspects and in different fields, especially in the field of predicting and management of relief and disasters, this research was carried out. For this purpose, factors such as population ratios such as population density, texture erosion in different areas, earthquake time and earthquake intensity based on the Richter scale, taking into consideration the opinions of experts in the field of geology and relief rescue, were used as inputs to the fuzzy inference system and the output of this system is determined by items such as the demand for biological, food, pharmaceutical goods, as well as the number of displaced and injured people.Security management of wireless sensors network in industrial application
https://ijnaa.semnan.ac.ir/article_6581.html
In this survey, the main and dominant point of pursuit is reviewing some aspects and approaches of networks security that are more appropriate for wireless sensors, by applying effective changes to some details and divisions, and it has been attempted to make them exclusive for the certain wireless sensors network that can be utilized in any particular or crucial industrial fields, like oil and gas pipeline and medical devices for monitoring the patient. Security network algorithms and processing trends are usually accessible and ready to use for everyone, however, it also increases the potential risk and concern of attack for industries that use wireless sensor networks. In this study, basic data has been altered and actually disintegrated before securing; additionally, common algorithms have been employed in order to reduce the risk involved with using wireless sensor networks for maintaining and protecting basic and major industries, and in particular for monitoring pipelines.Monotone $\alpha$-nonexpansive mapping in ordered Banach space by AU-iteration algorithm with application to delay differential equation
https://ijnaa.semnan.ac.ir/article_6448.html
In this paper, we adopt the AU-iteration scheme introduced by Udofia et. al. [21] (U. E. Udofia, A. E. Ofem, and D. I. Igbokwe, Convergence Analysis for a New Faster Four Steps Iterative Algorithm with an Application, Open J. Math. Anal., 5&nbsp; (2021), no. 2, 95--112) to approximate the fixed point of monotone $\alpha$-nonexpansive mappings in ordered Banach space. Analytically and with a numerical example we show that this iteration process converges faster than some well known existing iteration processes in literature. Further, we apply the AU-iteration process to find the unique solutions of a delay differential equation.Presenting a financial reporting model for companies focusing on market value and accounting value
https://ijnaa.semnan.ac.ir/article_6584.html
Financial reporting is the end product of the financial accounting process, providing financial information to various users, both internal and external users from business unit, in the form of accounting reports. According to this fact that the financial reports and book (accounting) value of companies have played a significant role in the life of different groups, today it is more important to pay attention to issues related to honest, relevant, reliable and transparent financial reporting. Therefore, according to its importance, in this paper we study the financial reporting of companies by focusing on the market value of companies and accounting value in inflationary conditions. For this, the information of the member companies of the stock exchange over a ten-year period 2009-2020 are collected, then the hypotheses are tested after performing the necessary statistical tests using linear regression by Eviews 10 and SPSS 26 software. In this research, multivariate regression method is used as a statistical method. The results indicate that there is no significant relationship between the quality of accruals and cash flow with the accounting value of companies in inflation condition, but there is a significant relationship between total assets and net income with the accounting value of companies in inflation conditions. Also, there is no significant relationship between the quality of accruals, cash flow and net income with the market value of companies in inflationary conditions, however, there is a significant relationship between total assets and accounting value of companies in inflationary conditions.Knee meniscus segmentation and tear detection based on magnitic resonacis images: A review of literature
https://ijnaa.semnan.ac.ir/article_6464.html
The meniscus has a crucial function in human anatomy, and Magnetic Resonance Imaging (M.R.I.) plays an essential role in meniscus assessment. It is difficult to identify cartilage lesions using typical image processing approaches because the M.R.I. data is so diverse. An M.R.I. data sequence comprises numerous images, and the attributes area we are searching for may differ from each image in the series. Therefore, feature extraction gets more complicated, hence specifically, traditional image processing becomes very complex. In traditional image processing, a human tells a computer what should be there, but a deep learning (D.L.) algorithm extracts the features of what is already there automatically. The surface changes become valuable when diagnosing a tissue sample. Small, unnoticeable changes in pixel density may indicate the beginning of cancer or tear tissue in the early stages. These details even expert pathologists might miss. Artificial intelligence (A.I.) and D.L. revolutionized radiology by enhancing efficiency and accuracy of both interpretative and non-interpretive jobs. When you look at AI applications, you should think about how they might work. Convolutional Neural Network (C.N.N.) is a part of D.L. that can be used to diagnose knee problems. There are existing algorithms that can detect and categorize cartilage lesions, meniscus tears on M.R.I., offer an automated quantitative evaluation of healing, and forecast who is most likely to have recurring meniscus tears based on radiographs.Nonlinear effects of inflation on Iran's economic growth: The NARDL approach
https://ijnaa.semnan.ac.ir/article_6587.html
This article examines the nonlinear effect of inflation on Iran's economic growth. So far, many studies have been conducted on Iran's economic growth in which different estimation methods have been used. The dependent variable of this research is GDP per capita as an indicator of economic growth and the variables of inflation rate, investment, labor force, oil export revenue and government expenditures have been used as explanatory variables. In the present study, the effect of inflation rate on Iran's economic growth has been investigated asymmetrically using the nonlinear distribution interrupt (NARDL) model with a boundary approach. The research period is 1989 to 1397 and the data are annual. The results of the boundary test indicate the existence of a long-term relationship between the research variables. Investment variables and government expenditures have positive and significant effects, labor has a negative and significant effect, and oil export earnings do not have a significant effect on economic growth. Also, negative changes in inflation have a negative and significant effect, while positive changes in inflation are meaningless, and thus the asymmetric effects of inflation on Iran's economic growth are revealed.Bipolar R-metric space and fixed point result
https://ijnaa.semnan.ac.ir/article_6440.html
In this paper, we introduce the notion of Bipolar R-metric space that in a way enriches the present literature. Here, on associating a binary relation R with bipolar metric space, we obtain a fixed point result which is well supported with an illustrative example.A unified class of analytic functions associated with Erdeyi-Kober type integral operator
https://ijnaa.semnan.ac.ir/article_6609.html
Making use of convolution product, we introduce a unified class of analytic functions with negative coefficients. Also, we obtain the coefficient bounds, extreme points and radius of starlikeness for functions belonging &nbsp;to the generalized class $ \mathcal{TP}_{\vartheta,\tau}^{a,c}(\alpha ,\beta).$ &nbsp;Furthermore, partial sums $f_k(z)$ of functions $f(z)$ in the class $\mathcal{P}_{\vartheta,\tau}^{a,c}(\alpha ,\beta)$ are considered and sharp lower bounds for the ratios of real part of $f(z)$ to $f_k(z)$ and $f'(z)$ to $f'_k(z)$ are determined. Relevant connections of the results with various known results are alsoconsidered.Double reduction of the Gibbons-Tsarev equation using admitted Lie point symmetries and associated conservation laws
https://ijnaa.semnan.ac.ir/article_6422.html
In this article, the double reduction method is used to find solutions to a (1+1) nonlinear partial differential equation that arises in the theory of dispersionless integrable systems. Four nontrivial conservation laws of the equation are constructed via the multiplier method, based on a particular form of admitted multipliers. Two of the constructed conservation laws are found to have associated Lie point symmetries and are utilised to construct invariant solutions.Several comparisons between matrix means
https://ijnaa.semnan.ac.ir/article_6588.html
&lrm;In this note&lrm; , &lrm;we present some operator &lrm;ine&lrm;qualities via convexity property&lrm;. &lrm;In the end&lrm;, &lrm;refinements of mixed mean inequalities are given&lrm;.Investment security determinants
https://ijnaa.semnan.ac.ir/article_6441.html
This study's objective was to identify the factors impacting investment security. In light of the numerous changes in today's world, especially in developing countries encountering multiple threats, these nations require appropriate solutions to address their economic problems toward make optimal use of their natural capabilities, resources and wealth. In this regard, among the significant strategies is enhanced investment. Due to limited resources, improved investment security is one of the most important debates. This is an applied type of research. It is worth noting that investment security determinants have been undertaken based on the grounded-theory method and via interviewing 25 experts. Ultimately, 18 categories were obtained. Data collection was conducted utilizing a questionnaire. The statistical population of this study included university professors, managers/executives and investors of investment companies in 2020. Since official statistics on the statistical population were not available and are unlimited, Cochran's formula was utilized to calculate a sample size from an uncertain total population and the final number of 384 was arrived at. The findings revealed that causal factors have a positive and significant effect on the axial phenomenon of investment security and that the axial phenomenon as well as the contextual and intervening factors have a positive and significant impact on investment security strategic factors. In addition, it was discovered that strategic factors have a positive and significant effect on investment security outcomes. Moreover, the findings showed that strategic factors have a positive and significant effect on the consequences of investment security. According to the results obtained based on the data theory of the foundation (grounded theory), factors determining the investment security model have six main categories (causal conditions, pivotal phenomena, interventionist conditions, contextual conditions, strategies, and consequences). In general, the paradigm model of investment security was undertaken via interviews with 25 experts. The findings disclosed that the investment security model has 18 main categories and 129 sub-categories.Geometry of submanifolds of a third-order ODE as a Riemannian manifold
https://ijnaa.semnan.ac.ir/article_6591.html
&lrm;In this paper&lrm;, &lrm;we prove that any surface corresponding to linear second-order ODEs&lrm; &lrm;as a submanifold is minimal in the class of third-order ODEs $y'''=f(x&lrm;, &lrm;y&lrm;, &lrm;p&lrm;, &lrm;q)$ as a Riemannian manifold&lrm; &lrm;where $y'=p$ and $y''=q$&lrm;, &lrm;if and only if $q_{yy}=0$&lrm;.&lrm;Moreover&lrm;, &lrm;we will see the linear second-order ODE with general form $y''=\pm y+\beta(x)$ is the only case that is defined a minimal surface&lrm; &lrm;and is also totally geodesic&lrm;.Zero-free regions for bicomplex polynomials and related bicomplex entire functions
https://ijnaa.semnan.ac.ir/article_6444.html
In this paper, we find the zero free regions of bicomplex polynomial and related bicomplex entire functions with certain restrictions on the coefficients. Our results generalize many results already known in the literature.Importance-performance analysis (IPA) of banking factors affecting the improvement of business environment and prevention of corporate bankruptcy through the IPA model
https://ijnaa.semnan.ac.ir/article_6592.html
The present study aimed at investigating the importance-performance analysis (IPA) affecting the improvement of business and prevention of corporate bankruptcy that utilized banking resources according to the IPA matrix. Initially, the relevant indices were extracted from the existing literature on the subject, and thereafter, utilizing the Delphi fuzzy method, important factors in four main dimensions (assessment of proposals to obtain financing, liabilities of banks as business partners, rates of interest, and banking penalties, and the way of devising partnership contracts) were identified. The statistical population of this research consisted of relevant legal, banking, and commercial experts. Ultimately, 12 individuals with at least 15 years of experience in the above subjects were selected as the samples. Compliant to the importance-performance matrix output (among 36 influential factors), effective strategies to assist bank managers/executives toward optimal allocation of resources and proper and efficient granting of facilities/loans to strengthen businesses were identified. Furthermore, the following were prioritized and focused on for improvement/enhancement: components and details of proposed reforms to prevent potential losses, level of education/expertise of managers offering to finance, the relationship between the education/expertise of the individual proposing the project to the bank, the proportion of the bank's human resources in the context of the project implementation process, the relationship between the bank's interests to the profit from the partnership, acceptance of roles in the project's profit and loss distribution, establishing as a basis for the realized profits in the partnership contract, the bank's carefulness in the implementation of the project by the customer, adherence to the final actualized profit.Survey on distributed denial of service attack detection using deep learning: A review
https://ijnaa.semnan.ac.ir/article_6458.html
Distributed Denial of Service (DDoS) attacks on Web-based services have grown in both number and sophistication with the rise of advanced wireless technology and modern computing paradigms. Detecting these attacks in the sea of communication packets is very important. There were a lot of DDoS attacks that were directed at the network and transport layers at first. During the past few years, attackers have changed their strategies to try to get into the application layer. The application layer attacks could be more harmful and stealthier because the attack traffic and the normal traffic flows cannot be told apart. Distributed attacks are hard to fight because they can affect real computing resources as well as network bandwidth. DDoS attacks can also be made with smart devices that connect to the Internet, which can be infected and used as botnets. They use Deep Learning (D.L.) techniques like Convolutional Neural Network (C.N.N.) and variants of Recurrent Neural Networks (R.N.N.), such as Long Short-Term Memory (L.S.T.M.), Bidirectional L.S.T.M., Stacked L.S.T.M., and the Gat G.R.U.. These techniques have been used to detect (DDoS) attacks. The Portmap.csv file from the most recent DDoS dataset, CICDDoS2019, has been used to test D.L. approaches. Before giving the data to the D.L. approaches, the data is cleaned up. The pre-processed dataset is used to train and test the D.L. approaches. In the paper, we show how the D.L. approach works with multiple models and how they compare to each other.A segmentation-based image zooming algorithm using artificial neural networks
https://ijnaa.semnan.ac.ir/article_6596.html
This paper aims to present a useful method for magnifying images, for which it is necessary to group the pixels and define the borders. In the proposed method, images are first partitioned using suitable segmentation algorithms and then artificial neural networks (ANNs) are applied to magnify each segment individually. In the ANNs applied, training is performed using, as input, a down-sampled form of the same image to be magnified. This type of training results in a high quality zoom in each segment since the pixels in an individual segment have very close features. Evaluation results on several images verifies the higher efficiency of the proposed method than other recently developed image zooming methods.Existence and asymptotic behavior for a logarithmic viscoelastic plate equation with distributed delay
https://ijnaa.semnan.ac.ir/article_6418.html
In this article, we consider a logarithmic viscoelastic plate equation with distributed delay. Firstly, we study the local and global existence of &nbsp;solutions by using the energy method combined with Faedo-Galerkin method. Then, by introducing a suitable Lyapunov functional, we prove the asymptotic &nbsp;behavior of the solution. Our results are more general than the earlier results.Prediction of DMUs' Performance Using Improved SVMs Method Based on DEA
https://ijnaa.semnan.ac.ir/article_6597.html
Data Envelopment Analysis (DEA) is an effective method for measuring the efficiency of Decision Making Units (DMUs). DMUs have been generated based on production function, cost function and measuring efficiency for evaluation and selection. Prediction of DMUs&#039; Performance (PDMUP) is a problem to select the best among DMUs based on input and output data of the DMUs. PDMUP includes evaluating of ranking and efficiency for DMUs. Improving the accuracy and computation time in measuring the efficiency of PDMUP have been two main challenges. Hence, in this paper, a method is proposed using DEA and Support Vector Machine (SVM) for predicting of DMUs. This method have been compared using datasets in earlier research for large DMUs. The experimental results of comparisons between PDMUP method and early methods demonstrate that the method can significantly improve the accuracy and reduce the computation time in predicting the efficiency of large DMUs.Coupled fixed points of generalized rational type Z-contraction maps in b-metric spaces
https://ijnaa.semnan.ac.ir/article_6434.html
In this paper, we introduce generalized rational type $\mathcal{Z}$-contraction maps for a single map $f:X\times X\to X$ where $X$ is a $b$-metric space and prove the existence and uniqueness of coupled fixed points. We extend it to a pair of maps by defining generalized rational type $\mathcal{Z}$-contraction pair of maps and prove the existence of common coupled fixed points in complete $b$-metric spaces. We provide examples in support of our results.Investigating the nonlinear relationship between financial ratios and capital structure in companies listed on Tehran Stock Exchange
https://ijnaa.semnan.ac.ir/article_6601.html
The aim of this study was to investigate the nonlinear relationship between financial ratios and capital structure in companies listed on the Tehran Stock Exchange over a period of six years, from 2014 to 2020. The samples of the present study include 134 eligible companies listed on the stock exchange. Tehran and the research method is descriptive-correlational. Data and theoretical foundations of the research have been collected through library studies. Nonlinear regression was not used for data analysis using Ives and Stata econometric software. The results of this study show that a significant non-linear relationship was observed between the financial relations of the capital structure, so it can be justified by referring to the process of political spending, which is one of the components of accounting theories. Also, other research results are based on the non-linear relationship between the variable components of financial ratios and capital structure.Estimation of returns to scale with reduced computational complexity in Data Envelopment Analysis
https://ijnaa.semnan.ac.ir/article_6433.html
The estimating returns to scale (RTS) and identifying the area in which the type of returns to the scale of a single decision maker unit (DMU) remains sustainable helps managers to have more accurate predictions about the size variations of a DMU. Contrary to theoretical studies and attitudinal surveys, the RTS-based econometric estimates of the panel data are derived from the time changes observed in inputs and outputs. Therefore the description of &nbsp;returns-to-scale based on the panel data is closer to those that are related to changes in demand and changes in the policy of managers during the sample period. it's clear that the use of the panel data, in addition to estimating returns to scale closer to the view of the managers, leads to a significant increase in the number of inputs and outputs for each DMU. Since we know that the DEA models have computational complexity for the great practical issues, use particularly when there are large numbers of outputs and inputs reducing the number of models will greatly help to solve these issues.&nbsp;In most articles, the returns-to-scale estimates for decision-making units (DMU) are performed with at least two LP models. Furthermore have problems in some cases and may not be able to investigate all DMUs. In this paper, a method has been proposed which determines returns-to-scale and identifies boundary units by solving only one model. In fact, unlike some articles which explore the boundary DMUs, the assessment area in this paper is all the DMUs observed in PPS (Production Possible Set). Therefore, based on this approach, identifying boundary units and estimating their returns-to-scale will be possible by solving only one LP model. Further, according to the proposed dual model, a different perspective has been proposed to identify and evaluate boundary units and to estimate the returns-to-scale by solving a single LP model. Additionally and according to numerous observations, the dual model is able to estimate the returns-to-scale of the image point of the inefficient units in the BCC model in the input orientation. The correctness of all content has been shown theoretically as well as intuitively, with due substantiation.On binomial transform of the generalized Jacobsthal-Padovan numbers
https://ijnaa.semnan.ac.ir/article_6619.html
In this paper, we define the binomial transform of the generalized Jacobsthal-Padovan sequence and as special cases, the binomial transform of the Jacobsthal-Padovan, Jacobsthal-Perrin, adjusted Jacobsthal-Padovan, modified Jacobsthal-Padovan sequences will be introduced. We investigate their properties in details.A study on dependent impulsive integro-differential evolution equations of general type in Banach space
https://ijnaa.semnan.ac.ir/article_6416.html
This paper deals with the study of a coupled system of generalized impulsive integro-differential evolution equations with periodic boundary value. We show the existence and uniqueness of the solution for the proposed problem using Banach fixed point theorem. Another way was used to show the existence result with the aim of breaking out of the widely used Theorems style, we take advantage Monch's fixed point theorem using a non-compactness measure that we introduced. Some examples are given to our obtained results.Calculation of resistive spectrum of MHD modes in tokamak with small resistivity
https://ijnaa.semnan.ac.ir/article_6606.html
The Compressible MHD resistance equations were written for the IR T1 tokamak configuration with one or two singular surfaces for density mass profiles. And they are linearized around equilibrium state. The eigenvalues and eigenfunctions of the resistive MHD modes were obtained for poloidal and toroidal mode numbers numerically by Mathematica software for homogene and inhomogene plasma. The values obtained show that the eigenvalues are complex, and they are placed on certain curves. Also by drawing a diagram of eigenfunctions, it was determined that they were damped.Traffic control system techniques: A review
https://ijnaa.semnan.ac.ir/article_6590.html
Controlling and managing traffic signals at road intersections is a demanding task in the transportation system to ensure vehicular traffic safety and a consistent flow of traffic. Because of the significant increase in the number of vehicles on a daily basis, reducing road congestion has become a major concern in recent years. The urban transportation system requires effective solution techniques to cope with current traffic conditions and meet the ever-increasing demand for traffic. Changes to urban infrastructure will take years, and in some cases may not be feasible. As a result, optimizing traffic signal time (TST) is one of the quickest and most cost-effective strategies to reduce congestion at intersections and improve traffic flow in the metropolitan network. To improve TST, researchers have been working on a number of ways as well as the use of technology. This paper aims to analyze recent literature published between 2014 and 2022 for various traffic signal management systems that have been developed to improve real-time traffic flow at junctions by optimizing TST and Traffic Signal Control (TSC) systems and to provide insights, research gaps, and possible directions for future work for researchers interested in the field.Providing an audit quality model based on organizational structure, operating mechanism and the characteristics of auditing firms using structural equation modeling
https://ijnaa.semnan.ac.ir/article_6610.html
This study aimed to provide an audit quality model based on organizational structure, operational mechanism and characteristics of audit firms. The sample size in order to collect the research required data was considered as 386 independent auditors from auditing firms, and the same number of questionnaires were distributed and collected after being answered. The data collected by the questionnaires were analyzed by SPSS and Smart PLS software using structural equation modeling. Analysis of research hypotheses using structural equation modeling at 99% confidence level showed that; the size of auditing firms, legal system, internal and external quality control of auditing firms and corporate governance mechanisms are among the factors positively affecting audit quality. Therefore, it can be said that with increasing each of the factors of the size of auditing firms, legal system, internal and external quality control of auditing firms and corporate governance mechanisms, the quality of auditing increases. The legal system and internal and external quality control are among the factors that enhance and affect the organizational structure of auditing firms. The size of audit firms and internal and external quality control are factors affecting the operational mechanism of the audit firm. Therefore, it can be said that by increasing the size of auditing firms and internal and external quality control of auditing firms, the operational mechanism of auditing will be improved. Finally, the results showed that the organizational structure of auditing firms and the audit operating mechanism have a positive and significant effect on audit quality.Mathematical modelling of intraguild predation and its dynamics of resource harvesting
https://ijnaa.semnan.ac.ir/article_6413.html
The contemporary theoretical inquest concerns itself with an updated mathematical model involving intraguild (IG) predation in which the IG predator acts as a generalist predator with the inclusion of harvesting in the resource population. Due attention is paid to the positivity and boundedness of the outcomes of the system under consideration. All the conceivable ecologically feasible equilibria are explored for their existence and stability under certain conditions. Special emphasis is put forward on the consequence of harvesting for the present model system. The occurrences of Hopf-bifurcation with respect to harvesting parameters involved in the harvesting effort of the model system are captured. The subsistence of the possible bionomic equilibria is, however, not ruled out from the present pursuit. The optimal harvesting policy is initiated and duly carried out with Pontryagin&rsquo;s maximum principle. Numerical simulations are performed towards the end to comply with the objectives of the agreement of the numerical outcomes with their analytical counterparts and the applicability of the model is validated thereby.Investigation of the strategic entrepreneurship components' effect on the knowledge-based companies' performance by applying new dimensions of balanced score card
https://ijnaa.semnan.ac.ir/article_6616.html
Nowadays, due to the increasing trend of environmental changes and developments, knowledge-based companies need strategic entrepreneurship to respond effectively to their environmental needs. Therefore, the present research, which has a mixed research approach (qualitative-quantitative) and has an application-development orientation, tries to investigate in two stages the effect of strategic entrepreneurship components on the performance of knowledge-based companies by applying new dimensions of balanced score card. The first stage, which is qualitative and based on the purpose is the fundamental type and based on the method of research is the descriptive-analytical type, in order to identify the components of strategic entrepreneurship using the Meta-synthesis method, the findings of studies in this regard, as They were systematically reviewed and analyzed based on the formation process and output achievement. Then, by referring to the valid documents available on the sites and after reviewing the information of English sources from 2000 to 2019 and Persian sources from 1380 to 1399, out of a large number of initial articles, 88 suitable articles were identified. In order to analyze the selected articles, constituent concepts and influential components, the content analysis method was used and in order to validate the extracted concepts, the Delphi panel method was used with the presence of 8 experts and specialists in the field of university and industry. Then, the research findings were identified and classified in the form of 49 concepts, 10 sub-components and 5 components, and the conceptual model obtained from the meta-synthesis based on the findings was presented. Also, the rank and importance of experts' opinions regarding strategic entrepreneurship components based on the results of the Friedman ranking test were the components of leadership, opportunism, innovative learning, attitude and resources, respectively. In the quantitative stage of the research, which is applied based on the purpose and descriptive survey based on the research method, in order to investigate the effect of strategic entrepreneurship components on the performance of knowledge-based companies by applying new dimensions of a balanced scorecard, the model method Structural equation modelling (SEM) was used to test research hypotheses using Excel 2013, SPSS 21, and Smart pls3 software. The statistical population studied at this stage is 102 senior managers of knowledge-based companies located in Yazd Science and Technology Park. In order to select a sample by simple random method, 80 samples were selected from the Morgan table and questionnaires were collected. The results of the hypothesis test showed that the components of strategic entrepreneurship affect the six dimensions of the balanced scorecard of knowledge-based companies including financial, customers, learning and growth, internal processes, employees satisfaction and the environment and society dimensions.Fuglede-Putnam type theorems for extension of $\ast$-class $A$ operators
https://ijnaa.semnan.ac.ir/article_6411.html
In this article, we consider $k$-quasi-$\ast$-class $A$ operator $T\in\bh$ such that $TX=XS$ for some $X\in \bkh$ and prove the Fuglede-Putnam type &nbsp;theorem when adjoint of $S\in\bk$ is $k$-quasi-$\ast$-class $A$ or dominant operators. Among other things, we prove that two quasisimilar &nbsp;$k$-quasi-$\ast$-class $A$ operators have equal essential spectra. &nbsp;&nbsp;A new general integral transform for solving Caputo fractional-order differential equations
https://ijnaa.semnan.ac.ir/article_6623.html
There are many integral transforms that are widely used to solve many problems arising in applied mathematics and engineering. The main goal of this paper is to use a new general integral transform to solve fractional differential equations with the fractional derivative in the sense of Caputo. In addition, several illustrative examples are given to demonstrate the accurateness and effectiveness of this approach. The obtained results confirm the applicability and high accuracy of the proposedapproach to solving fractional diffrential equations.Investigating the export performance of commercial companies (Case study of Ardabil Province)
https://ijnaa.semnan.ac.ir/article_6427.html
The last decade differs from previous decades due to globalization and business competition. In the global dimension, markets for consumer products, industrial goods and services, or resource markets such as capital, materials, and technology are highly integrated. Simultaneously, the formation of multiple trade agreements and the disposition of open trade policies between countries has led to the annulment of protectionist tools and the suppression of trade barriers. In conclusion, in practice, almost all companies, regardless of national origin, size, or type of industry, are now encountered with the fact that not participating in global and regional markets might not be a long-term choice. The present article intends to designate the determinant factors of export performance development and define the necessary solutions to increase the province's exports while at the same time specifying the position of Ardabil province industries in the country. The participants of the study comprised 110 people. About 30.5\% of the participants are active in business, 37.5\% are active in manufacturing, and 32\% are active in the industry. Furthermore, 12\% of the participants had five or fewer years of work experience, 16\% of the participants had 6 to 10 years of work experience, 33.5\% of the participants had 11 to 15 years of work experience, and 38.5\% of the participants had more than 15 years of work experience. Overall, 57 factors were extracted from the interviews with experts. The results of exploratory factor analysis indicated that six factors were eliminated due to low factor loading. Besides, factor analysis performed on the remaining 51 variables identified 12 factors as the main factors explaining approximately 77\% of the variability (variance) of the variables. The research results unraveled that reviewing the legal and protection system structure of the relevant agencies involved in the export and definition of commercial companies might be a suitable solution. Furthermore, the results showed that creating the culture and the maturity of using commercial companies' services aligned with risk acceptance is neglected in the export field.Investigating the effect of economic policy uncertainty on the capital market development in Iran (Grigory-Hansen co-integrating approach in phase structural break)
https://ijnaa.semnan.ac.ir/article_6620.html
Today, in all countries, the prosperity of the capital market is recognized as one of the indicators of economic dynamism. The extension of the capital market leads to an increase in the depth of this market and in the long run, will lead to financial development, such that this financial development ultimately will lead to stable economic growth. Therefore, the main purpose of this study is to investigate the effect of economic policy uncertainty on the ratio of current stock value to GDP as an indicator of the development of the Iran capital market during the years 1991-2018. To achieve this goal, first, using the Gregory-Hansen co-integration approach, the existence of a long-term relationship between the variables of the model was tested and then the experimental research model was estimated using the dynamic least squares method. The results of model estimation showed that there was a long-term equilibrium relationship between the variables, and the inflation rate and the uncertainty of economic policies have a negative impact. Also, other variables of the research, i.e., degree of economic openness, GDP, and private sector investment had a positive and significant effect on the Iran capital market development index during the study period.Analysis of techniques and approaches to palm print: Review
https://ijnaa.semnan.ac.ir/article_6439.html
For over 15 years, palmprint identification technology has been developed and tested on a range of image resolutions (high and low). This study demonstrates the numerous varieties of palmprints and the difficulties associated with the palmprint recognition method. Furthermore, we go over the step-by-step process of developing a palmprint biometrics system, starting with image acquisition, preprocessing, feature extraction, and matching, as well as a summary of palmprint databases and their characterizations, as well as some palmprint recognition techniques and research works related to palmprint biometrics purposes. This paper focuses on comparing the types of systems in terms of deep learning, machine learning, and systems that require learning.A study on the success factors of the Iran Martial Arts Federation
https://ijnaa.semnan.ac.ir/article_6624.html
The research had a mixed-methods type and was qualitative and quantitative. In the qualitative phase, the statistical population consisted of 15 faculty members in sports management and economics and all people with experience in the management of martial arts teams as well as senior managers of the Martial Arts Federation. The samples were selected using the non-random (judgmental) purposive and snowball sampling methods. To answer the questionnaire of the present study, the statistical population consisted of 100 athletes, club managers, and managers of the Martial Arts Federation according to Morgan's table, and 80 final samples were selected to answer the questionnaires. The reliability of the questionnaire was used using Cronbach's alpha of 0.83. The questionnaire had 7 components and 27 indices, including coaches (4 questions), administration (5 questions), women (4 questions), finance (5 questions), athletes (3 questions), foresight (3 questions), and information technology (3 questions). SPSS 25 was used to perform descriptive and inferential statistics calculations, and the PLS ver.3 software was utilized for structural equation modeling. &nbsp;The index of rent in selecting coaches with $71\%$ correlation in the component of coaches, the index of unfavorable training courses with $81\%$ correlation in the administrative component, the index of training restrictions in the women's hall with $81\%$ correlation in the women component, the index of economic problems of athletes and their lack of total compensation with $87\%$ correlation in the financial component, the index of non-commitment of the Sports Medicine Federation to support athletes after injury with $86\%$ correlation in the component of athletes, the non-implementation of projects with strategies of revenue-generating from athletes' championship with $90\%$ correlation in the forecast component, the index of recording the information about championship databases and provincial delegations in the database for easy access to information with $71\%$ correlation in the information technology component had the highest correlation with the above-mentioned components. Furthermore, the financial component was the highest effective component with a path coefficient of 0.853, and the administrative component was the least effective component with a path coefficient of 0.519. All components had a positive and significant effect on the success of the Martial Arts Federation. &nbsp;Given the above-mentioned factors, the managers of the Martial Arts Federation must implement strategies such as new economic, motivational, educational, information technology, and support programs for athletes and coaches to achieve organizational success and goals in domestic and foreign fields.Mathematical modeling of co-infections of hepatitis A viral disease and typhoid fever with optimal control strategies
https://ijnaa.semnan.ac.ir/article_6407.html
In this study, a mathematical model with optimal control measures was used to investigate the transmission dynamics of co-infection of hepatitis A virus and typhoid fever. A deterministic compartmental model was used and an analysis of the effect of various control measures was compared. The pathogen fitness that represents the epidemic indicator is obtained by using the next-generation matrix. We have shown the existence of two equilibrium states: the disease-free steady state in which there are no populations that are infected by the co-infection of hepatitis A virus and typhoid fever, the endemic state in which a co-infected population exists and is capable of transmitting the disease. The local and global stability conditions of the endemic equilibrium points were also proved. Further, it was proved that the co-infection of the model exhibited a backward bifurcation. Finally, a numerical simulation of the model was made and it reveals that prevention has a significant impact in reducing the transmission of the co-infection and applying all the control measures can successfully eliminate co-infection of hepatitis virus and typhoid fever from the community.Analysis of cancerous tumor growth by the competitive model based on the evolutionary game theory
https://ijnaa.semnan.ac.ir/article_6626.html
The behavior and growth of cancerous tumor is an interesting research subject and it has been widely analyzed from theoretical and empirical aspects. Various models have been applied to determine the growth pattern of cancerous tumor. In one of the current models, which we refer to as the competitive model, the tumor growth rate is determined based on the competition between the healthy and cancer cells. In this model, the competition matrix between the healthy and cancer cells is a type of prisoner's dilemma game matrix, so the growth curve of tumor has a sigmoid or S shape. According to the eﬀective application of this model in determining the tumor growth rate, some methods to get rid of the model restrictions are presented so that it can be used for tumor progression pattern. Finally, in order to evaluate the eﬃciency of the developed model, it has been implemented in some empirical examples.Controllability of Sobolev type stochastic differential equations driven by fBm with non-instantaneous impulses
https://ijnaa.semnan.ac.ir/article_6402.html
In this paper, we examine the controllability results for a class of multi-valued Sobolev type neutral stochastic differential equations that are steered by fractional Brownian motion $B_t^H$ with non-instantaneous impulses for $H \in (\frac{1}{2},1)$ by assuming the controllability of the linear system. The results are obtained by utilizing the fixed-point theorem for multi-valued operators and stochastic analysis. At last, an example is given to represent the results of the theoremThe effect of tax incentives on tax collection in the comprehensive tax plan using Grounded theory and structural equation model
https://ijnaa.semnan.ac.ir/article_6628.html
The purpose of this study is the effect of tax incentives on tax collection in the comprehensive tax plan using Grounded theory and the structural equation model. The method used in this study was a hybrid method including a qualitative method based on the Grounded theory approach and a quantitative method based on the structural equation approach. The research was conducted in three stages. In the first step, which was done qualitatively, the data are collected through structured interviews with a statistical sample (experts). In the second stage, key themes were extracted and converted into the corresponding model. In the last step, the extracted model was tested, which was done quantitatively. At the qualitative stage, the statistical population consists of two groups. The first group includes specialists and experts who have been faculty members of universities and the second group includes experts and managers who have at least 10 years of experience in the field of finance and taxation. A sampling at this stage of the research was purposeful and 12 in-depth and semi-structured interviews were conducted using theoretical sampling and the snowball technique of managers, tax experts and financial management. In a small part of the statistical population of the study, the taxpayers were the General Department of Tax Affairs of Mazandaran Province. According to the survey, the statistical population was 40,000 companies and based on the Morgan table, the sample size was 380 files. In the present study, the data obtained from the text of the interviews were analyzed by MAXQDA software in order to increase the accuracy and speed of the research. In this research, 98 codes extracted from 12 detailed interviews with experts and specialists in the field of research have become 33 more abstract concepts and finally, 5 categories have been identified. The coefficient of achievement of structural equations shows that the variables of Ease of understanding and usefulness of the rules, Security and speed rules, Rules Support Services, Effectiveness of laws, and Conditions for facilitating the rules have a positive and significant effect on tax payments by taxpayers.Presenting a model for measuring the capabilities of human resource strategy in government organizations
https://ijnaa.semnan.ac.ir/article_6412.html
Since human resources are the most valuable factor for manufacturing, and the most important capital of every organization today, human resource planning (HRP) is one of the most underlying organizational plans. Planning to achieve skill and educational needs, and improvement of human resources can be the underlying factor for human resource planning. Over the years, human resources have been changed into the focus point of leading organizations and managers. It can be regarded as the most underlying organizational capital, for which no alternative can be considered. This study is aimed at presenting a model to measure the capabilities of human resources strategies. At first, wide library investigations were done in this field and existing models. Then, a basic model was selected to measure the capabilities of human resources within the governmental organizations to switch the study. Interviews were done with academic, and government experts and other scholars to test the validity and reliability of the model. the qualitative model validation was done using interviews, and the sampling method was snowball sampling. The model revision was done using qualitative methods. For model designation, the interpretive-structural modelling (ISM) technique, and fuzzy approach were used. The research instrument in this study was a questionnaire. According to obtained results, the experts counted essential factors affecting the capabilities of human resource strategy as follows: value, scarcity, being inimitable, without substitution, taking required behaviours, having required competencies, sufficient motivation of personnel, and productivity.Survey on intrusion detection system based on analysis concept drift: Status and future directions
https://ijnaa.semnan.ac.ir/article_6638.html
Nowadays, internet security is a critical concern; the One of the most difficult study issues in network security is "intrusion detection". Fight against external threats. Intrusion detection is a novel method of securing computers and data networks that are already in use. To boost the efficacy of intrusion detection systems, machine learning and deep learning are widely deployed. While work on intrusion detection systems is already underway, based on data mining and machine learning is effective, it requires to detect intrusions by training static batch classifiers regardless considering the time-varying features of a regular data stream. Real-world problems, on the other hand, rarely fit into models that have such constraints. Furthermore, various uses in the real world, Data distributions in intrusion detection systems, for example, are non-stationary, which produce concept drift over time or non-stationary learning. The word "concept drift" is used to describe the process of changing one's mind about something in an online-supervised learning scenario, the connection between the input data and the target variable changes over time. We define adaptive learning, classify existing concept drift strategies, evaluate the most typical, distinct, and widely used approaches and algorithms, describe adaptive algorithm assessment methodology, and show a collection of examples, all of this is based on the assumption that you have a basic understanding of supervised learning. The survey examines the various aspects of concept drift in a comprehensive manner in order to think about the current fragmented "state-of-the-art". As a result, which intends to give scholars, industry analysts, and practitioners a comprehensive introduction to idea drift adaptability.The (p. q)-analogue of sigmoid function in the mirror of bi-univalent functions coupled with subordination
https://ijnaa.semnan.ac.ir/article_6400.html
The aim of this study is to introduce the new subclasses of bi-univalent functions coupled with subordination in the mirror of $(p,q)$-analogue of the modified sigmoid function in the unit disc $\mathbb{U}=\left\lbrace z\in \mathbb{C}:|z|&lt;1\right\rbrace $. The first two immediate Taylor-Maclaurin coefficients for the function belonging to these newly introduced classes are obtained. The results are new and a number of corollaries are developed by varying the parameters involved.Disclosure of corporate social responsibility with Iranian-Islamic approach using Using fuzzy Delphi method and grounded theory model
https://ijnaa.semnan.ac.ir/article_6633.html
The present study, while explaining the concept of social responsibility with the Iranian-Islamic approach, based on the conceptual framework of accounting and reporting framework of social responsibilities, examining the desired features, seeks to provide a conceptual framework for reporting corporate social responsibility with the Iranian-Islamic approach. The present study is a descriptive-survey research and the data are based on the design and distribution of a researcher-made questionnaire in a community of 10 experts in the field of accounting and auditing and familiar with issues related to corporate social responsibility and Religious components as well as experts in later greetings have been collected. The results show that in terms of reporting objectives, quality characteristics of information, responsibility for preparing and submitting reports, accreditation, institutions that develop corporate social responsibility standards and financing, there are many similarities with the field of financial reporting; However, the qualitative characteristics of social responsibility information with the Iranian-Islamic approach are inconsistent with the qualitative characteristics of the ISO 26000 standard for social and private sector social responsibility in 2011. Principles and Principles The conceptual framework of corporate social responsibility reporting with the Iranian-Islamic approach is similar to the principles and principles of conventional social responsibility reporting.Applying a suitable approximate-simulation technique of an epidemic model with random parameters
https://ijnaa.semnan.ac.ir/article_6398.html
In this research, a suitable numerical simulation method is used to solve a non-linear system that contains multi-variables and multi-parameters with absent real data. The solution to such type of system needs a long time with some difficulty. Mean Latin Hypercube\_Runge Kutta (MLH\_RK4) propused method solve such system that has random parameters easily and fast. In addition, it is the appropriate method for solving the change in the values of the system coefficients with time. The mentioned system has been given realistic results with MLH\_RK4 that has been applied to the epidemic model. The COVID-19 model from 2020 in Iraq is the application under the research. The comparison study between the numerical results with the proposed numerical simulation results is shown in tables, and more clear graphically. The COVID-19 pandemic in our study will vanish in the next few years, according to the behavior of the epidemic for all its stages mentioned in our study. The proposed method can lessen the number of iterations for the used numerical method, and the number of repetitions of the used simulation technique. As well as it is a faster technique in the generation of parameters that appears as random variables using the Latin Hypercube sampling technique. The MLH\_RK4 method has been confirmed to be reliable, and effective to solve linear and nonlinear problems. The proposed method can predict the behavior of phases of the epidemic in the future of some epidemiological models.To propose a strategy-oriented and quality-aware business and IT alignment method through goal and scenario points analysis
https://ijnaa.semnan.ac.ir/article_6636.html
Business and Information Technology Alignment (BITA) is a preferred condition in which the relationship between business and IT is optimized to maximize the business value of IT. BITA is a critical discipline allowing businesses to propose appropriate IT-enabled business solutions. A BITA method needs a well-designed process for identifying business problems, needs, and opportunities. Strategic BITA methods that are based on requirements engineering (RE) techniques can enable consideration of all business aspects and therefore fulfill expectations for the design of a suitable IT-enabled business solution. This study introduces a Strategy-oriented and Quality-aware BITA ethod (SQBITAM) to facilitate alignment between business requirements for business systems and the business strategies. SQBITAM consists of a business requirements engineering method, using a combination of goal-oriented and scenario-based requirements engineering approaches and includes an early quality evaluation phase to assess the quality and performance of the designed IT-enabled business solution. Analytical evaluation of the qualities and performance factors enables assessment of the business strategy and TO-BE business process models. An ICT unit in a sample Power Distribution Company is used as a case study to demonstrate, exemplify and validate SQBITAM&rsquo;s steps. The results show a higher capability of SQBITAM than the currently existing BITA techniques.Transmission system for waves with nonlinear weights and delay
https://ijnaa.semnan.ac.ir/article_6637.html
In this paper we consider a transmission problem for one dimensional waves with nonlinear weights on the frictional damping and time delay. We prove first, the existence and the uniqueness of the solution using the semigroup theory. Second, we chow the exponential stability of the solution by introducing a suitable Lyaponov functional.Comparison between OMA and PD-NOMA in wireless MIMO system with optimized downlink power allocation
https://ijnaa.semnan.ac.ir/article_6642.html
Different multiple access methods in wireless communications allow multiple contented stations to share the wireless medium. It can be either orthogonal or non-orthogonal. In orthogonal multiple access (OMA), the channel allocation between the contented stations is orthogonal (either by time, frequency, space or code). This is done to avoid interference between the wireless stations. However, it decreases the performance because the number of simultaneous connections is limited by the orthogonal channel resources, which minimizes the degree of freedom per station. On the other hand, non-orthogonal multiple access (NOMA) allows multiple stations to transmit and receive at the same channel resource time and frequency by using another domain. For example, different power levels for different stations or what is known as PD-NOMA. This paper shows that NOMA can improve the performance of wireless communications even with the presence of interference because each station has a full degree of freedom per resource. Besides, PD-NOMA and MIMO have a good combination by taking advantage of MIMO array gain with non-orthogonal access to improve spectral efficiency. By allocating different power to different stations, different optimization objectives are proposed to maximize the fairness, spectral efficiency, and energy efficiency in the downlink channel.Some results in metric modular spaces
https://ijnaa.semnan.ac.ir/article_6408.html
A metric modular on a set $X$ is a function $w : (0,\infty)\times X\times X\longrightarrow &nbsp;[0,\infty]$ written as $(\lambda,x,y)\mapsto w_{\lambda}(x,y)$ satisfying, for all $x, y, z\in X$, the following three properties: $x = y$ &nbsp;if and only if &nbsp;$w_{\lambda}(x, y) = 0$ for all $\lambda&gt;0$; $w_{\lambda}(x, y) = w_{\lambda}(y, x)$ for all $\lambda&gt;0$; $w_{\lambda+\mu}(x, y) \leq w_{\lambda}(x, z) + w_{\mu}(y, z)$ for all $\lambda, \mu&gt;0$. In this paper we define a Hausdorff topology on &nbsp;metric modular spaces and prove &nbsp;some known results of metric spaces including &nbsp;Baire's theorem and &nbsp;Uniform limit theorem for metric modular spaces.Investigating the effect of economic policy uncertainty on CO2 emissions using TVP-FAVAR approach
https://ijnaa.semnan.ac.ir/article_6640.html
Environmental degradation, global warming, and climate change have become dangerous factors and pose a serious threat to global security. One of these factors is the threat of greenhouse gasses, mainly caused by the emission of CO2 carbon dioxide. In an environment of uncertainty in economic policies, energy efficiency policies are also not effectively implemented due to weak regulations. Incompatible economic policies may also lead to higher energy consumption and thus greater environmental impact. Therefore, this study investigates the role of economic policy uncertainty on carbon dioxide (CO2) emissions in Iran during the period from 1979 to 2018 using the time series method of the factor-augmented vector autoregressive (FAVAR) model and the time-varying parameter (TVP) model proposed by Koop and Korobilis (2013). In addition to investigating the impact of economic policy uncertainty, the impact of globalization on CO2 emissions is also examined. The experimental results show that first, more energy consumption leads to more pollution; second, economic policy uncertainty reduces the quality of the environment; and third, globalization increases the destructive effect of energy consumption on CO2 emissions.Estimation on initial coefficient bounds of generalized subclasses of bi-univalent functions
https://ijnaa.semnan.ac.ir/article_6394.html
In the present investigation, we introduce the two subclasses $S^{\alpha}_{\Sigma}(\gamma, \rho, \lambda, \mu, \xi, \delta)$ and $S_{\Sigma}(\gamma, \rho, \lambda, \mu, \xi, \delta;\beta)$ of normalized analytic bi-univalent functions defined in the open unit disk and associated with the Ruscheweyh's operator. Further, we obtain bounds for the second and third Taylor-Maclaurin coefficients of the functions belong to these subclasses. We also provide relevant connections with earlier investigations of other researchers.Investigating the effect of the characteristics of the board in choosing debt financing mode of the company by evidence from Tehran Stock Exchange
https://ijnaa.semnan.ac.ir/article_6644.html
The effect of the characteristics of the board of directors in choosing the debt financing model of the company by evidence from the Tehran Stock Exchange was investigated in this study. The statistical population in this study included all companies active on Tehran Stock Exchange. The method of the present research was applied in terms of purpose &nbsp;and the results can be useful for managers, shareholders, investors, researchers and developers of standards. This research was descriptive exploratory in terms of data &nbsp;analysis and field one in terms of data collection. A statistical sample of 146 companies for an 8-year period (2011-2018) was selected from Tehran Stock Exchange. Findings &nbsp;showed that the significance level of the independent variable (characteristics of the board) at the specified confidence level was significantly related to choosing the debt financing mode of the company; Since the significance level of the independent variable (characteristics of the board) was less than the specified error level.Discussion on ordered fixed point results and related applications
https://ijnaa.semnan.ac.ir/article_6395.html
The aim of this manuscript is to introduce the notion of &real;-extended b-metric spaces and prove some fixed point results in this space. &nbsp;An extensive set of nontrivial examples is given to justify the claims.The optimal control of an evolutionary boundary value problem
https://ijnaa.semnan.ac.ir/article_6652.html
We consider a nonlinear initial boundary value problem in a two-dimensional rectangle. We derive &nbsp;variational &nbsp;formulation of the problem which is in the form of an evolutionary variational inequality in a product Hilbert space. Then, we establish the existence of a unique weak solution &nbsp;to the problem and prove the &nbsp;continuous dependence of the solution with respect to some parematers. We proceed with the study of an associated control problem for which we prove the existence of an optimal pair. Finally, we consider a perturbed optimal control problem for which we prove a convergence result.Numerous new Jacobi elliptic function solutions for perturbed Gerdjikov-Ivanov equation with space-time conformable fractional derivative
https://ijnaa.semnan.ac.ir/article_6391.html
In this article, Numerous new Jacobi elliptic function solutions for perturbed Gerdjikov-Ivanov equation with space-time conformable fractional derivative have been extracted using the new extended auxiliary equation method. Solitary and periodic solutions are retrieved from the Jacobi elliptic function solutions. These solutions&rsquo; existence is likewise guaranteed by the constraint criteria. In order to better understand the physical processes, we also show some graphical representations of the solutionsPrediction model of electrical energy consumption in conventional residential buildings using ANN and ANFIS
https://ijnaa.semnan.ac.ir/article_6648.html
The energy consumption of a residential building is considered in terms of energy use and efficiency. Therefore, forecasting the energy consumption of buildings has been raised as a challenge in recent decades. In a residential home, electricity consumption can have recognizable patterns daily, monthly, or yearly depending on living conditions and daily habits and events. In this research, artificial neural network (ANN) and adaptive fuzzy-neural inference system (ANFIS) have been performed using MATLAB software to predict building energy consumption. Also, random data collected based on the criteria obtained from the hourly electricity consumption of conventional residential buildings in Tehran has been used. In order to evaluate and measure the performance of this model, statistical indicators have been used. According to the applied settings (type of learning, number of steps, and error tolerance), the system error rate is calculated based on MSE, RMSE, &mu;, &sigma;, and R statistical indicators and the results of energy consumption forecast in three buildings with high accuracy and correlation coefficient. R is more than 98%. The output of this research is an intelligent combined system of ANN and ANFIS. The obtained values well show the ability of this model to estimate energy consumption in the mentioned buildings with high accuracy.Viscosity approximation method for monotone operators in Hadamard spaces
https://ijnaa.semnan.ac.ir/article_6401.html
In this article, we suggest and analyze a &nbsp;viscosity approximation method to a zero of a monotone operator in the setting of Hadamard spaces. We derive the convergence of sequences generated by the proposed viscosity methods under some suitable assumptions. Also, some applications to solve the variational inequality, optimization and fixed point problems are given on Hadamard spaces.New refinements for integral form of Jensen's and Holder's inequalities and related results
https://ijnaa.semnan.ac.ir/article_6647.html
In this paper, we establish two new reﬁnements for integral forms of Jensen&rsquo;s and Holder&rsquo;s inequalities. Several applications are given on special means.On the convergence of new algorithms procedures in Banach spaces
https://ijnaa.semnan.ac.ir/article_6386.html
In this paper, &nbsp;a new algorithms type three-step via projection Jungck Suzuki generalized mappings are introduced, and the convergence of projection &nbsp;Jungck- Zenor algorithm and projection Jungck P-algorithm are proved. On the other hand, we proved that the projection &nbsp;Jungck-Zenor algorithm converges to a common fixed point faster than of projection Jungck P- algorithm in Banach spaces.Some coefficient problems of a class of close-to-star functions of type $\alpha$ defined by means of a generalized differential operator
https://ijnaa.semnan.ac.ir/article_6655.html
In this investigation, we studied a class of Bazilevic type close-to-star functions which is defined by a generalized differential operator. The new class generalizes many known and new subclasses of close-to-star functions. Some of the investigated properties are the coefficient bounds and the Fekete-Szego functional. Our results extend some known and new ones.Positive periodic solutions for a neutral differential equation with iterative terms arising in biology and population dynamics
https://ijnaa.semnan.ac.ir/article_6368.html
In this article, a class of first order neutral delay differential equations with iterative terms is investigated. The proofs of the existence of positive periodic solutions rely on the Krasnoselskii's fixed point theorem together with the Green's functions method. Furthermore, by the aid of the Banach fixed point theorem and under an extra condition, we establish the existence, uniqueness and stability results. We provide an example to show the accuracy of the conditions of the obtained findings which extend and generalize earlier ones in the literature.Evaluation of the association between cryptocurrencies with oil and gold prices using the BEKK multivariate GARCH model
https://ijnaa.semnan.ac.ir/article_6654.html
Due to the emergence of cryptocurrencies in the world, many people save their capital and assets like cryptocurrencies. Cryptocurrencies are associated with prices of gold and oil, and stock market indices. On this basis, the present study aimed to evaluate the association between cryptocurrencies with oil and gold prices. To this end, the study performed an evaluation using the BEKK multivariate GARCH method. Therefore, two regression models were estimated to evaluate the association between cryptocurrencies and oil and gold prices. Based on the results, the mutual relationship between cryptocurrency volatility and gold and oil prices was confirmed. In general, volatility in oil and gold prices has a positive effect on cryptocurrency volatility. Given that volatility in oil and gold prices has a positive effect on cryptocurrency volatility, and these effects will be more manifested in future periods, cryptocurrency investors are recommended to examine oil and gold prices, especially oil prices in the last 10 years, before purchasing cryptocurrencies.MIMO access point and practical challenges in DAS over RoF-OFDM systems
https://ijnaa.semnan.ac.ir/article_6366.html
The use of commercial MIMO APs in RoF-DAS results in substantial throughput reduction. Efficient use of multi-antenna scheme algorithms allows for significant physical separation between the radio units, which results in decreased error rates and increased capacity. MIMO wireless communications in a DAS, which utilizes RoF to increase the overall wireless coverage and capacity have been the focus of this thesis. The main goal is to explore the factors that contribute to throughput declines in an RFDAS when commercial MIMO APs are utilized. Practical challenges are considered to examine the RoF-DAS. Single and multiple-use experience is taken for finding the experimental setup. The investigation revealed that the amount of data the system can transmit correlates with the imbalance in the received power, and the imbalance in the received power correlates with the amount of data the system can transmit.Optimization of the internal control quality of companies listed on the Iranian stock exchange using the imperialist competitive algorithm
https://ijnaa.semnan.ac.ir/article_6656.html
Internal controls and their improvement are essential issues in organizations and companies. Therefore, this mixed research was conducted to optimize the quality of internal controls of companies listed on the Iranian Stock Exchange using the imperialist competitive algorithm. This mixed study was conducted on 29 variables in the qualitative section by interviewing 18 experts to optimize the quality of internal controls of companies listed on the Iranian Stock Exchange. Qualitative and quantitative data analysis reached five stages of implementation. In the implementation of the fifth stage, 1550 repetitions were obtained, and the quality level of internal controls was reduced by 1.3473, which is the best possible value for the objective function. Paying severe attention to the systemic approach in the internal control system of companies can lead to a significant improvement in the internal controls of listed companies and enhance their performance. In addition, the effect of the systemic approach affects the level of shareholder satisfaction and the quality of risk detection and evaluation.A convergence theorem for a common solution of $f$-fixed point, variational inequality and generalized mixed equilibrium problems in Banach spaces
https://ijnaa.semnan.ac.ir/article_6365.html
The purpose of this paper is to construct an algorithm for approximating a common element of the set of solutions of a finite family of generalized mixed equilibrium problems, the set of $f$-fixed points of a finite family of $f$-pseudocontractive mappings, and the set of solutions of a finite family of variational inequality problems for Lipschitz monotone mappings in real reflexive Banach spaces.Provide an algorithm for connecting bootstrap-based smart objects to the cloud, using asymmetric encryption
https://ijnaa.semnan.ac.ir/article_6662.html
Cloud computing and the Internet of Things have both experienced rapid and independent evolution. These two technologies are very different from each other and most of their features complement each other. These properties, which complement other technologies, are the main reason why researchers propose to integrate these two technologies, which in certain cases can be of great benefit. Therefore, the present study aimed to provide an algorithm for the connection of smart objects based on bootstrapping with the cloud, using asymmetric cryptography. In terms of purpose, this research is in the category of applied research. All relevant documents from written sources, including books, articles published in reputable scientific-research journals, research reports on the subject and academic dissertations, and valid Internet resources, and Related to the subject are studied and used. Using the public key on a resource-limited smart device with CoAP, we learn how to obtain a 3GPP-based public bootstrap architecture to ensure authentication and connectivity across a variety of devices. Then, with the help of standard protocols, including RADIUS and EAP, without the need to install new software on the phone, it is possible to automatically set up a wireless network with content to communicate with the cloud. Improved protocols meet the requirements of key IoT security services such as privacy, publicity, and credibility, and can achieve better performance with lower communication costs. On the other hand, the goal of most methods is to increase the scalability and performance of the system and control access to prevent unauthorized access.Investigating the impact of the devaluation of national currency and macroeconomic indicators considering the political effects of sanctions on stock prices
https://ijnaa.semnan.ac.ir/article_6399.html
The present article examines the effect of weakening the value of the national currency and macroeconomic indicators by considering the political effects of sanctions on stock prices and the SVAR structural self-regression model for the years 1370-1397. According to the SVAR estimates, an 89 percent increase in oil revenue will boost the stock price index, as well as a financial crisis and sanctions, a weakening of the national currency and a production gap of 11, 86, respectively. , 53 and 12 percent of the stock price index, also based on the results of immediate reaction functions, the shocks received by endogenous variables up to the first two periods; it goes up and then goes down. In terms of economic structure and the principles of economics, a steady rise in the dollar will lead to economic prosperity and a decrease in the stock price index, but if this increase is temporary, the economic boom in the stock market will not be observed. In general, due to the different infrastructures, patterns and economic conditions of the country, a separate study of how the Iranian stock market is affected by the uncertainty of government monetary policy, government fiscal policy and government foreign exchange policy can be in the country's major decisions. Provide an accurate view of how Iran's financial market is changing as a result of these fluctuations.Application of artificial intelligence algorithms in stock market forecasting
https://ijnaa.semnan.ac.ir/article_6671.html
New methods of machine learning in Artificial Intelligence (AI), changing the parameters and naturally finding the most logical and optimal solution possible based on what has been learned in the past, reducing the search space, reduce decision error. The use of these new methods of calculation, mathematics, and artificial intelligence has increased in recent years in the capital market, but most of the methods of portfolio construction are based on the traditional methods of the past and, of course, more in the category of asset classification. In this paper, most algorithms that had been used in other research are implemented and tested. The results of this research show that PSO (Particle Swarm Optimization) and GWO (Grey Wolf Optimizer) are the best algorithms for forecasting financial markets. Both algorithms have the same capability and show good results.Fekete-Szegö functional for regular functions based on quasi-subordination
https://ijnaa.semnan.ac.ir/article_6387.html
Considering two special families of regular functions in an open unit disk based on quasi-subordination, we present sharp bounds for initial coefficient estimates and also determine the classical functional of Fekete-Szeg&ouml; of functions in these families. Further, we discuss subordination and majorization results for the associated families. Few known and several new consequences are established.On the set of Gateaux differentiability of the $L^1$ norm
https://ijnaa.semnan.ac.ir/article_6680.html
Let $(\Omega, \mathcal{M}, \mu)$ be a measure space. In this paper, we establish the set of Gateaux differentiability for the usual norm of $L^{1}(\Omega, \mu)$ and the corresponding derivative formulae at each point in this set.A review on video violence detection approaches
https://ijnaa.semnan.ac.ir/article_6369.html
A violent behaviour detection system (VBDS) is an important application of intelligent video surveillance that performs a critical role in the field of public security and safety VBDS is a sort of behaviour recognition that seeks to determine whether the behaviours observed in the situation are violent, such as fighting or assault. This paper presents a survey of the existing approaches to VBDS. In this paper, the existing VBDS techniques are classified based on their framework, which includes the old-fashion framework and the end-to-end state-of-the-art deep learning framework. Finally, the VBDS methods' performance is assessed and compared.On generalized Jordan $\ast$-derivations with associated Hochschild $\ast$-2-cocycles
https://ijnaa.semnan.ac.ir/article_6673.html
In this paper, we introduce the notions of generalized $\ast$-derivations, generalized Jordan $\ast$-derivations and Jordan triple $\ast$-derivations with the associated Hochschild $\ast$-2-cocycles and then it is proved that if $\mathcal{R}$ is a prime $\ast$-ring and $f:\mathcal{R} \rightarrow \mathcal{R}$ is a nonzero generalized $\ast$-derivation with an associated Hochschild $\ast$-2-cocycle $\beta$, then $\mathcal{R}$ is commutative. Some other results regarding generalized Jordan $\ast$-derivations are also established.New qualitative results to delay integro-differential equations
https://ijnaa.semnan.ac.ir/article_6381.html
This work deals with various qualitative analyses of solutions of a certain delay integro-differential equation (DIDE). We prove here six new theorems including sufficient conditions, on uniformly stability (US), boundedness, asymptotically stability (AS), exponentially stability (ES), integrability and instability of solutions, respectively. &nbsp;By defining a suitable Lyapunov function (LF) and using the Razumikhin method (RM), the proofs of the theorems are provided. We gave two examples to demonstrate applications of the established new conditions.Analyzing the factors Influencing green software development using a hybrid fuzzy approach
https://ijnaa.semnan.ac.ir/article_6675.html
Today, Environmental protection and sustainable development are two critical issues. Sustainability is now playing a significant role in almost every aspect of life. Information and communication technology is an integral element in the global economy and international development, with extensive applications in almost all industries. Similarly, software development is an essential component of a rapidly evolving technology community. It is also an important starting point for reducing resource consumption and carbon emissions. Nevertheless, compared to hardware, the software has received inconsiderable attention. The aim of this study is to identify, rank, and determine the importance of factors influencing green software development using a hybrid approach. Five criteria and four subcritical were identified from qualitative content analysis of relevant studies and interviews with twelve academic and industry experts. FDEMATEL was employed to determine the interaction and interrelationships among the identified criteria and sub-criteria while utilizing FANP to calculate the weights of the criteria and their relevant sub-criteria to determine their priorities. The following ranked first to fifth as the most influential factors: operational factor &ldquo;$ 0.2153 $&rdquo;, infrastructure factor &ldquo;$ 0.2046 $&rdquo;, technological factor &ldquo;$ 0.2006 $&rdquo;, individual factor &ldquo;$ 0.1945 $&rdquo;, and the organizational factor &ldquo;$ 0.1849 $&rdquo;. Among the criteria, knowledge, and awareness had the greatest weight of &ldquo;$ 0.2908 $&ldquo;, and ethical factors had the lowest weight of &ldquo;$ 0.2308 $&rdquo;. Given the insignificant difference between the highest and lowest factors, it can be concluded that all factors are almost equally effective. And it can be concluded developing green software requires the creation of a trusted ecosystem.Second-order abstract Cauchy problem of conformable fractional type
https://ijnaa.semnan.ac.ir/article_6324.html
&nbsp; &nbsp; In this paper, we discuss atomic solutions of the second-order abstract Cauchy problem of conformable fractional type&nbsp;\begin{eqnarray*}u^{(2\alpha )}(t)+Bu^{(\alpha )}(t)+Au(t) &amp;=&amp;f(t) \\u(0) &amp;=&amp;u_{0}, \\u^{(\alpha )}(0) &amp;=&amp;u_{0}^{(\alpha )},\end{eqnarray*}%where $A,B$ are closed linear operators on a Banach space $X,$ $f$ $ :[0,\infty )\rightarrow X$ \ is continuous and $u$ is a continuously differentiable function on $[0,\infty )$. Some new results on atomic solutions using tensor product technique are obtained.Notion of non-absolute family of spaces
https://ijnaa.semnan.ac.ir/article_6683.html
The scenario of this article is to introduce the space $\mathfrak{R}^{t}_s(p, \Delta)$ &nbsp;based on a general Riesz sequence space. Its completeness property is derived and its linear isomorphism property with $\ell(p)$ is proved. The K\"{o}the-dual property of the space $\mathfrak{R}^{t}_s(p, \Delta)$ is also derived. Furthermore, its basis is constructed and some characterization of infinite matrices are given.The impact of diversity on clustering ensemble using $ Chi^2 $ criterion
https://ijnaa.semnan.ac.ir/article_6392.html
Clustering ensemble is a technique for improving clustering results' robustness and accuracy. Basically, this technique generates base clusterings and then combines them into a consensus solution whose quality is determined by the diversity of the base clusterings and the consensus function's performance. In order to improve the quality of consensus solutions, it is necessary to generate base clusterings with regard to quality and diversity. Novel techniques were employed in this study to generate diverse base clusterings for both low-dimensional and high-dimensional datasets, as well as new criteria to compute the diversity of base clusterings with respect to quality. The impacts of different levels of diversity on consensus functions were studied. The proposed methods generated diverse base clusterings, according to the findings of the experiments.An optimal model for measuring the human resources productivity in the East Azarbaijan Gas Company
https://ijnaa.semnan.ac.ir/article_6679.html
This synthesis research aimed to design an optimal model for measuring the human resources productivity in the East Azarbaijan Gas Company. The designed model was provided to experts for validation. The data were collected from related articles, books, and documents using databases and written resource centers. The statistical population included all valid scientific articles measuring human resource productivity. A total of 54 research articles were selected for final analysis based on inclusion and exclusion criteria due to regular searches in databases. The worksheet form designed by the researcher was used to collect the research information. The findings were analyzed using the seven-step model for the research synthesis by Marsh (1991) and open and axial coding methods. The views of experts, managers and employees of the gas department were used, and the content validity was 0.847 to determine the validity of the human resource efficiency measurement model. The results showed that the optimal model for measuring human resource productivity in East Azerbaijan Gas Company included five indicators of measuring services provided, customer perception and satisfaction, community improvement, unwanted results, and efficiency, each of which includes different components.On generalized fractional inequalities for functions of bounded variation with two variables
https://ijnaa.semnan.ac.ir/article_6354.html
n this paper, we firstly obtain some identities via generalized fractional integrals which generalize some important fractional integrals such as the Riemann-Liouville fractional integrals, the Hadamard fractional integrals, etc. Then by utilizing these equalities we establish some Ostrowski and Trapezoid type inequalities for functions of bounded variation with two variables. Moreover, we give some inequalities involving Hadamard fractional integrals as special cases of our main results.Human-Whale cooperation optimization (HWO) algorithm: A metaheuristic algorithm for solve optimization problems
https://ijnaa.semnan.ac.ir/article_6681.html
Metaheuristic algorithms are one of the most effective methods for solving optimization problems and are modeled on the behavior of living things or biological phenomena. The swarm behavior of animals in nature to survive is a good way to create metaheuristic algorithms with a group intelligence approach. The swarm hunting mechanism is one of the most interesting meta-behavioral behaviors observed in a large number of organisms, and the chances of success in prey hunting by swarm behaviors will increase. In this paper, a new metaheuristic algorithm with a swarm intelligence approach is presented by using the human hunting mechanism and whale. In this type of behavior, whales and humans participate in hunting in such a way that whales and humans benefit from each other. Implementation and analysis of the proposed method provided less error than 82.60% of the experiments of other algorithms such as particle swarm optimization(PSO), firefly algorithm(FA), grasshopper optimization algorithm(GOA), and butterfly optimization algorithm(BOA). Experiments show that the proposed method converges in complex functions with a probability of 4.36% in local optimizations, which is less than the comparable algorithms. Experiments show that the proposed method can be implemented on a wide range of functional optimization problems and reduces the optimization error due to the simultaneous local and global search of the intelligent algorithm.Evaluation of machine learning approaches for sensor-based human activity recognition
https://ijnaa.semnan.ac.ir/article_6356.html
Human Activity Recognition (HAR) systems used in healthcare have attracted much attention in recent years. A HAR system consists of a wearable device with sensors. HAR has been used to suggest several machine learning (ML) algorithms. However, only a few research have looked at how to evaluate HAR to identify physical activities. Nevertheless, obtaining an explanation for their performances is complicated by two factors: the lack of implementation specifics and the lack of a baseline evaluation setup that makes comparisons unfair. For establishing effective and efficient ML&ndash;HAR of computers and networks, this study uses ten common unsupervised and supervised ML algorithms. The decision tree (DT), artificial neural network (ANN), naive Bayes (NB), k-nearest neighbor (k-NN), support vector machine (SVM), random forest (RF), and XGBoost (XGB) algorithms are among the supervised ML algorithms, while the k-means, expectation-maximization (EM), and self-organizing maps (SOM) algorithms are among the unsupervised ML algorithms. Multiple algorithms models are presented, and the turning and training parameters in ML (DT, ANN, NB, KNN, SVM, RF, XGB) of each method are investigated in order to obtain the best classifier assessment. Differ from earlier research, this research measures the true negative and positive rates, precision, accuracy, F-Score as well as recall of 81 ML-HAR models to assess their performance. Because time complexity is a significant element in HAR, the ML-HAR models training and testing time are also taken into account when evaluating their performance efficiency. The mobile health care (M\_HEALTH CARE) dataset, which includes real-world network activity, is used to test the ML-HAR models. In general, the XGB outperforms the DT-HAR, k-NN-HAR, and NB-HAR models in recognizing human activities, with recall, precision, and f-scores of 0.99, 0.99, and 0.99 for each, respectively, for health care mobile recognition.Explaining the effects of innovation and learning on dimensions of project sustainability in the Iranian Construction Industry
https://ijnaa.semnan.ac.ir/article_6684.html
A great volume of financial resources, human resources, and production materials of countries are utilized in construction projects in developing countries. Construction processes have become a threat to the survival of future generations and business quality of active organizations in this field due to their detrimental effects on the environment, economy, and human societies such as excessive consumption of natural resources, increasing pollution, loss of human dignity, and lack of sufficient motivation among project staff. Sustainability has been considered a challenging option to overcome today's threats with the ultimate goal of balancing the economic, social, and environmental conditions of projects without compromising the necessary resources for future generations. Furthermore, many studies have proven the effects of innovation and learning components on improving sustainability in different countries. The present study aimed to investigate the effects of innovation and learning components on dimensions of sustainability in Iranian construction industry projects. A questionnaire was designed based on the conceptual model of the research and 85 valid samples were collected. Data analysis was performed using SPSS22 and Smart PLS3. According to the results, learning and innovation had positive and significant effects on the social, economic, and environmental dimensions of projects.Selberg and refinement type inequalities on semi-Hilbertian spaces
https://ijnaa.semnan.ac.ir/article_6323.html
In this paper, we will study a type and reﬁnement of Selberg type inequalities on semi-Hilbertian spaces, which is a simultaneous extension of the Bombieri type inequality in a semi-Hilbertian space. As applications, we give some examples of the Selberg inequality and its reﬁnement on semi-Hilbertian spaces.The effects of trade openness and some macroeconomic variables on exchange rate volatility in Iran
https://ijnaa.semnan.ac.ir/article_6686.html
The present study aimed to investigate the relationship between trade openness and exchange rate volatility in Iran. To this end, we estimated our model through the autoregressive distributed lag (ARDL) method using data from 1979 to 2019. Findings indicated the positive effect of money supply and government expenditures and the negative and favorable effects of trade openness, economic growth, currency system, and oil prices on exchange rate volatility in the short and long term. Even though the impact of economic growth and government expenditures were insignificant, increasing the money supply had the highest adverse effect on the foreign exchange market, and increasing trade openness and the Fixed Exchange Rate System decreased the exchange rate volatility. The currency system and monetary discipline of the Central Bank, along with the trade openness policy can have significant effects on reducing exchange rate volatility and economic stability in Iran.Estimation of VaR in insurance companies listed on the Tehran Stock Exchange with RBC and EC approaches
https://ijnaa.semnan.ac.ir/article_6389.html
The capital level of insurance companies to meet shareholders' and the regulator's expectations is very important. This study was to estimate the VaR (Value at Risk) of insurance companies on the TSE &nbsp;(Tehran Stock Exchange) with RBC (Risk-Based-Capital) &nbsp;and EC (Economic Capital) approaches, nine insurance companies in TSE during 2011-2019 were selected. Historical simulation and MCS (Monte Carlo Simulation) methods were used to calculate VaR. In historical simulation, the probability of an insurance company's loss of more than 2.02\% of the asset value is 1\%. Meanwhile, the VaR obtained from MCS, at the confidence level of 99\%, VaR is 3.28\%. In CBA (Cost-Benefit-Analysis), the amount of capital desired by the shareholders is 1.25-1.3 of the existing capital. In SMR (Solvency Margin Ratio) the amount of capital desired by the regulator is 1.3 -1.4 of the existing capital. Finally, the target capital is 1.25-1.4 of the existing capital.Provide a favorable model of corporate governance system to prevent companies from falling into the trap of money laundering and affect the decisions of respondents (people and their legal representatives)
https://ijnaa.semnan.ac.ir/article_6699.html
The purpose of this study is to provide a favorable model of a corporate governance system to prevent companies from falling into the trap of money laundering and effective on the decisions of respondents (people and their legal representatives). The research method is exploratory development. The statistical population of this study is Tehran capital market companies. The research period is from 2016 to 2016. From the statistical population of the research, 120 companies were selected as the sample size by the elimination method. In-house and extra-organizational mechanisms were used to lead the company. In this research, correlation tests and regression analysis, and Eviews software have been used to test the research hypotheses and determine whether they are significant or not. Findings showed that the results of testing the hypotheses indicate that the management system with good, average and poor performance has a significant effect on preventing companies from falling into the trap of money laundering and it can be concluded that corporate governance systems avoid companies from Getting caught in the trap of money laundering is effective and the main research hypothesis that states that corporate governance systems are effective in avoiding companies from getting caught in the trap of money laundering (money laundering) is confirmed.Conditional reciprocal continuity and a common fixed point in a $b$-metric space
https://ijnaa.semnan.ac.ir/article_6388.html
A unique common fixed point is obtained for compatible and non-compatible self-maps on a $b$-metric space, through the notion of conditional reciprocal continuity, due to Pant and Bist.Providing a hybrid method for face detection and gender recognition by a transfer learning and fine-tuning approach in deep convolutional neural networks and the Yolo algorithm
https://ijnaa.semnan.ac.ir/article_6702.html
The present study aims to assess a combined method for face detection and gender recognition using deep learning by evaluating the shortcomings of face detection methods accurately. Deep learning algorithms can learn high-level features and have attracted a lot of attention for use in the field of machine vision. The present study names a hybrid method called Hyper-Yolo-face and utilizes a clear image using deep Convolution Neural Networks (CNNs), Yolo algorithm, and local binary patterns (LBPs) to identify the face and recognize the gender. Reducing the number of parameters is regarded as an extremely important challenge in deep networks in terms of memory consumption and the amount of computing in the network. The proposed method is based on the AlexNet model and generalization in the loss function of version 3 of the Yolo algorithm, which leads to improved precision. The present study focuses on applying small filters in transfer learning and fine-tuning network layers and using a new regression loss function in the Yolo algorithm to make it more appropriate for multiscale face detection. The face images are detected and cut by the presented Yolo in the proposed method. Then, an LBP operator is applied so that richer information and images enter the AlexNet network to estimate other parameters including gender recognition. Based on the experiments on the AFLW, FDDB, and PASCAL datasets, the proposed method improves recognition precision significantly.Routing enhancement in wireless sensor networks based on capsule networks: A survey
https://ijnaa.semnan.ac.ir/article_6325.html
This paper is a survey of an effective routing enhancement for sensor nodes in WSNs. The adoption of WSNs has risen as a result of recent developments in wireless technology (WSNs). Because of its promising properties, such as low cost, low power, simple implementation, and ease of maintenance, a Wireless sensor network has become widely employed for monitoring and controlling applications in our daily lives. In general, scalable and dependable WSN models with shorter latency times, precise data transfer between nodes, low energy consumption, and longer life are required. The performance of a wireless sensor network greatly relies on the routing approach used, so that communications between multiple wireless sensor nodes are managed by routing protocols. To enhance routing in WSNs the following parameters should be considered: Shortest path, energy consumption, network lifetime, mean delay, Mean jitter, Packet delivery ratio, lost packets, throughput and the energy consumption of the entire WSN. The most important constraints of wireless sensor networks are energy consumption and network lifetime. We will use a capsule network to make the enhancement routing in WSNs by enhancing and optimizing routing protocols for WSNs.Survey the effect of fintech companies’ profitability enhancement on winning customers’ loyalty using an artificial intelligence-based optimization algorithm
https://ijnaa.semnan.ac.ir/article_6704.html
The financial technologies currently known as Fintech refer as a significant innovation to the firms that combine financial services with innovative technologies. More precisely, Fintech means innovative financial solutions enabling novel and creative technologies and methods. Based on the reports by credible international institutions, global investments in Fintech in 2019 have undergone an increase of 120% in contrast to 2018. Therefore, the technological innovation development strategy and the related mechanism and process should gradually create new competitive advantages. Fintech innovations are strategic decisions a given company makes to enhance profitability and win customers&rsquo; loyalty. The present study investigates the effect of Fintech companies&rsquo; profitability enhancement on winning the customers&rsquo; loyalty through a random forest algorithm. The study uses a descriptive-applied research method. The study population included the customers of Asan Pardakht Company, reaching ten thousand individuals with 700000 transactions in number. These individuals (customers) were separated based on clustering operation and classified for being subjected to various tests.Moreover, the cross-industry standard process (CRISP) Method was used, and its various stages were implemented, such as business perception, data perception, data preparation, modeling, evaluation, and expansion. After the explication of the data and, also, purging them in various stages, and following the data preparation, the data clustering operation resulted in six data clusters that were subsequently subjected to various examinations; the largest cluster (cluster no.4) was finally identified. Afterward, the various artificial intelligence-based optimization algorithms were implemented in the modeling stage. This is usually done with the determination of the accuracy and error rates. The results indicated that implementing the artificial intelligence-based optimization algorithm could enhance the companies&rsquo; profitability, which affects the companies&rsquo; winning of the customers&rsquo; loyalty and satisfaction with the managers of these companies being eventually envisioned as more efficient.Analysis of SIRC model for influenza A with Caputo-Fabrizio derivative
https://ijnaa.semnan.ac.ir/article_6320.html
In this manuscript, we study the fractional-order SIRC epidemiological model for influenza A in the human population in the Caputo-Fabrizio sense. The existence and uniqueness of the solution of the proposed problem are established using fixed point theory. The local stability of both disease-free equilibrium and endemic equilibrium points is investigated. Using the three-step fractional Adams-Bashforth scheme, an iterative solution of our system is generated. In the numerical simulation, many plots are given for different values of the fractional order to check the stability of equilibrium points. Also, the effect of varying some parameters of the model was presented. Furthermore, we compared our numerical solutions with those using Caputo fractional derivative model via graphical representations. The obtained results show the efficiency and accuracy of our approach.Matrix modeling and optimization calculation method for large scale integrated energy system
https://ijnaa.semnan.ac.ir/article_6706.html
We-Energy (WE), as an important energy unit with full duplex and multi-energy carriers in the integrated energy system (IES), uses the coupling matrix to connect the network-side and demand-side energy. However, the coupling matrix of WE is very hard to be formulated directly due to the complicated internal structure and the flexibility of operation mode. This paper proposes a multi-step method for the modeling of WE. According to the method, the conversion process in the WE can be separated into several steps and the WE model can be built by coupling matrix in each step. Then, the WE model is extended by considering the renewable energy, location of storage and different types of demand response. Because of the non-linearity caused by the dispatch factors, the computational complexity increases greatly for solving the optimal scheduling issue of the WE. In order to reduce the computational burden, the variable substitution is added in the proposed modeling method. The results of simulation cases are presented to demonstrate the performance of proposed modeling and calculation method.Management capabilities, financial distress, and audit fee
https://ijnaa.semnan.ac.ir/article_6385.html
Literature review indicates that there is a positive relationship between risk and audit fee. However, few studies have examined how auditors respond to the risk factors associated with senior management. In this study, we examine the relationship between Management capability and audit fee, taking into account the financial distress of firms. Accordingly, the necessary statistical tests are conducted through linear regression and 10Eviews, and 25SPSS software to test hypotheses and the information related to the firms listed on the stock exchange in 2009 - 2018. The multivariate regression method is used. The results indicate that Management capability negatively affects audit fee in firms with financial distress and has an inverse effect on firms without financial distress.On Noether's conservation laws of the Sine-Gordon equation using moving frames
https://ijnaa.semnan.ac.ir/article_6707.html
The wide significance of the problem of finding conservation laws in a great number of applications in mechanics and physics is beyond any doubt. The aim of this paper is to obtain conservation laws of the Sine-Gordon equation via the concept of moving frames and the variational principle. For this purpose, we first present a Lagrangian whose Euler-Lagrange equation is the Sine-Gordon equation, and then by Noether&rsquo;s First Theorem and Mansfield&rsquo;s method, we obtain the space of conservation laws in terms of invariants and the adjoint representation of a moving frame, for that Lagrangian, which is invariant under HRT group action.Performance investigation of a novel nature-inspired algorithm based maximum power point tracking controller for stand-alone PV Systems
https://ijnaa.semnan.ac.ir/article_6319.html
A zero-emission photovoltaic system is critical for efficient energy supply and environmental protection. Because of the intermittent nature of solar insolation and temperature, the maximum power point tracking controller for the photovoltaic system has become complicated. At each intermittent condition, the photovoltaic array has only one operating point with maximum power output. Therefore, a nature-inspired algorithm-based controller is needed to determine the actual maximum operating point at different environmental conditions; thus, it can increase the overall efficiency of the photovoltaic system. This paper proposes a novel maximum power point tracking controller based on a hurricane optimization algorithm hybridised with chaos to improve power tracking in photovoltaic systems. The proposed hybrid algorithm is created by combining chaotic search behaviour with the standard hurricane optimization algorithm in order to increase efficiency. The proposed controller generates the optimal duty cycle for controlling the DC-DC boost converter by tracing the exact maximum operating point on a regular basis. The simulation results show that the proposed HOA -chaos-based MPPT controller outperforms INC, P\&amp; O, PSO and HOA based controllers in terms of efficiency and control.A model of sustainable consumer behavior in the insurance industry (Case study: Insurance Company Asia)
https://ijnaa.semnan.ac.ir/article_6718.html
Today, many companies strive to be more responsible and meet consumers&rsquo; needs as much as possible. Sustainable consumption refers to consuming products, which are helpful, environmentally friendly, recyclable, and responsive to environmental concerns. Therefore, this study aimed to propose a model of sustainable consumer behavior in the insurance industry. This applied and exploratory research was conducted using a field method, questionnaire, and interview tools with quantitative and qualitative data. The research population was industry experts and professors in the insurance industry, who were selected by judgmental convenience sampling method (20 people) for localization of the model. The data were collected through a researcher-made questionnaire based on pairwise comparisons of research components. In addition, fuzzy DEMATEL methods and fuzzy analytic process network (FANP) were used to analyze the data in Excel software. First, the criteria were identified by reviewing scientific texts and confirmed by university professors. The reliability of the factors was confirmed by Cronbach's alpha greater than 0.7. Then, seven main factors and 18 important sub-factors were identified using the fuzzy Delphi technique. The effectiveness and impressiveness of each factor were determined using the fuzzy DEMATEL technique. Among the main factors, "consumer knowledge of sustainability" with an impact value of 0.8 was the most effective factor, and "perceived market impact factor" with a net impact factor of -0.085 was the most impressive factor. The identified factors were prioritized using the FANP technique. Finally, the highest weight was related to the criterion of the religious spirit. Moreover, perceived market impact factors, sustainable consumerNew type graph with respect to ideal near ring
https://ijnaa.semnan.ac.ir/article_6322.html
A weakly completely prime graph of a near ring $(W_I (N))$ was defined in this paper, the relationship between the elements of a near ring was determined by a definition of weakly completely prime ideal, so we studied many concepts related to the statements of the given near ring. We also found some theories related to previous graphs of our papers.A novel approach for convergence and stability of Jungck-Kirk-Type algorithms for common fixed point problems in Hilbert spaces
https://ijnaa.semnan.ac.ir/article_6730.html
In this paper, two novel iteration algorithms called Jungck-DI-Noor-multistep and Jungck-DI-SP-multistep iterative schemes are introduced and studied. Using their strong convergence, a common fixed point of nonself mappings was achieved without any imposition of 'sum conditions' on the control sequences. Further, we studied and proved the stability results of our new iterative schemes in the setting of a real Hilbert space. Our results improve, generalize and unify several known results currently in the literature.Discrete alpha-power Weibull distribution: Properties and application
https://ijnaa.semnan.ac.ir/article_6301.html
A three-parameter discrete analogue of the Alpha-power Weibull distribution (DAPW) is provided in this study. It has established some of its basic distributional and statistical properties. The probability mass function's form, moments, skewness, kurtosis, probability generating function, characteristic function, stress-strength reliability, and order statistics are all examples of this. The unknown parameters are estimated using the maximum likelihood and moments approaches. The bias and mean square error of the maximum likelihood are demonstrated via a simulated exercise. Two datasets are used to demonstrate the model's adaptability.Evaluation and selection of suppliers using network analysis process and VIKOR methods
https://ijnaa.semnan.ac.ir/article_6723.html
Today, due to widespread competition and the presence of interconnected manufacturing environments, supplier performance is an effective factor in the success or failure of companies. The decision to select a supplier is also an important factor in the production and support management of many companies. The supply chain has a special and important position in the strategic management literature. The supply chain is referred to activities related to suppliers of raw materials or services and consumers or customers and producers of the product or the service itself. Evaluation and selection of suppliers is one of the key elements in industrial purchase processes and seems to be one of the main activities of specialized industries. Selecting suppliers is multi-criteria decision-making. To solve this problem, several methods have been proposed in the theoretical literature of the study. This paper presents a conceptual framework for selecting the best supplier by considering several criteria. The proposed framework includes the weights obtained for the criteria by the network analysis process method. Also, by identifying the effective quantitative and qualitative criteria in suppliers' prioritization in the supply chain, the integrated VIKOR-ANP approach is used to provide a method to prioritize suppliers in the supply chain with a combination of qualitative and quantitative criteria. The ANP method is used to evaluate the alternatives to the quality criteria and to obtain the relative weight of the criteria and the VIKOR is used for the final ranking of the alternatives.On a topology induced by order convergence of monotone nets
https://ijnaa.semnan.ac.ir/article_6384.html
In this paper, we will study on some topologies induced by order convergence in a Riesz space. We will investigate the relationships of them.Forecasting financial time series trends by pattern recognition
https://ijnaa.semnan.ac.ir/article_6725.html
Stock and price index prediction are among the main challenges for market players, traders, and economic analysts. Pattern recognition is one of the most common methods for analyzing complex data such as financial data. Elliot waves are used as one of the most robust models for predicting many markets, and it works based on a hypothesis that argued that upward and downward market price action always showed up in the same repetitive patterns. The need for expert knowledge and skills to detect these waves makes using it difficult for many traders. So far, little research has been done on the automatic identification of these waves. In this paper, we have attempted to recognize these patterns automatically and use them in predicting future upward/downward trends in prices. For this purpose, twelve patterns have been selected as representing Elliot waves. These patterns are stored in a self-organized map neural network and the network is used to identify the waves in the target stock. The proposed algorithm has been tested with several stocks from the Forex financial market. The results have an average accuracy of 93.94 percent in predicting stock trends and it indicates an improvement in prediction accuracy compared to other works.New estimation method to reduce the high leverage points effect in quantile regression
https://ijnaa.semnan.ac.ir/article_6255.html
Quantile regression is a powerful statistical method for modeling and analyzing the impact of explanatory and response variables at different points in the conditional distribution of the response variable. Many research papers have indicated that Quantile Regression (QR) estimator is only resistant to vertical outliers. Quantile regression like other regression M-estimators and Least Absolute Deviation LAD can be very sensitive to outliers in explanatory variables (Leverage Points). To~overcome this drawback, at first, we have to use a robust, effective and efficient method to identify high leverage points if there is masking and swamping problems. In literature, the usage of Generalized M-estimator (GM-estimator) is proposed to estimate the unknown parameters against high leverage points. In this paper, we proposed weighted~method's the generalized- M for quantile regression namely &nbsp;(GMQu), and improve the algorithm of this method by adapting the Improved Diagnostic Robust Generalized Potential (IDRGP) method. So that the calculation of the initial weights in this algorithm depends on (IDRGP), we're going to symbolize that method by (GMQuID). Simulation study and real data are considered to verify the performance of our proposed methods compared to other methods.Novel nature-inspired meta-heuristic optimization algorithm based on hybrid dolphin and sparrow optimization
https://ijnaa.semnan.ac.ir/article_6726.html
The increasing difficulty of actual-world optimization problems has prompted computer researchers to produce process improvement techniques regularly. Metaheuristic and evolutionary computation are popular in nature-inspired optimization methods. This paper introduces hybrid dolphin and sparrow optimization (DSO), which is a modification of a new metaphorical algorithm based on the natural behavior of sparrows and dolphins. Various adaptive and arbitrary variables are combined within this algorithm to indicate the exploitation and investigation of the exploration area in various discoveries of optimization. Multiple test strategies are used to calculate DSO performance. Initially, a collection of experiment events, including unimodal, multimodal, and composite functions, is applied to examine the exploitation, exploration, local optima avoidance, and convergence of DSO. Furthermore, unique metrics, such as the most suitable solution through optimization and search history, are applied to qualitatively and quantitatively examine and verify the achievement of DSO on turned 2D inspection functions. The effects of analysis functions and achievement metrics show that the proposed method can search various regions of a search space, provide local optima avoidance, converge toward the global optimum, and utilize encouraging areas of a search range while optimization proceeds efficiently. The DSO algorithm achieves a regular frame for an airfoil with a low drag, which explains that the methods are efficient in improving physical difficulties, including restrained plus unknown search spaces.Soft ideal theory and applications
https://ijnaa.semnan.ac.ir/article_6266.html
A soft model gives a vital mathematical tool for handling uncertainties and vague concepts. Soft models have been introduced. We give a new concept and investigate the soft $\psi$ closed, soft $\alpha \psi$ closed, and soft $I_{\alpha \psi}$ closed set in soft topological structure It is also shown their properties. We provide some illustrated examples.Parsim: A parametric simulation application for wireless sensor networks based on NS2 simulator
https://ijnaa.semnan.ac.ir/article_6729.html
Wireless sensor networks (WSNs) are attractive technologies that have been highly regarded by researchers in recent years due to their wide applications in various fields. Due to the high cost of implementing wireless sensor networks, one of the most important issues in their use is simulation and extraction of the results to achieve maximum efficiency before implementing them. Therefore, simulation is essential to studying WSN. A large number of WSN simulators available nowadays differ in their design, goals, and characteristics. Of course, there are still challenges in simulating wireless sensor networks, the most important of which are the lack of ease of use and lack of full access to the relevant parameters in the existing cases. In this article, we first introduce the various available simulators for WSNs, together with guidelines for selecting an appropriate simulator. In the following, we present our proposed simulator based on NS2 with the aim of achieving an effective and efficient simulation by considering the ease of use and providing a complete list of relevant parameters.Spectral method for the diffusion equation with a source term
https://ijnaa.semnan.ac.ir/article_6245.html
The aim of this paper is to investigate the Legendre spectral method for solving the diffusion equation with a source term and mixed initial-boundary value problem in a finite rectangle $\Omega _{2}$, we use some techniques to convert the problem to a system of ordinary differential equations and by an analysis matrical we find a general term defines all ordinary differential equations of this system, we solve this general term we get the desired approximate solution, we also present the error estimate.A hybrid fuzzy MCDM approach to prioritize organization's activities based on fuzzy analytic hierarchy process and fuzzy DEMATEL
https://ijnaa.semnan.ac.ir/article_6731.html
Decision makers need to prioritize the organization&rsquo;s activities in order to allocate resources optimally. Prioritization of activities is a multi-criteria problem that includes both quantitative and qualitative factors. The C4ISR framework is a well-known and widely used framework that describes the activities of the organization using the Activity Model (OV-5) product. In this paper, a new fuzzy hybrid methodology is proposed to describe and prioritize the activities of the organization in fuzzy conditions. First, the activities of the organization are described in a fuzzy format. Then, Activities are prioritized by the use of a hybrid method based on fuzzy DEMATEL and fuzzy AHP. Fuzzy AHP is used to calculate the weight of each activity and Fuzzy DEMATEL is used to calculate the interdependencies between activities. Finally, the Science and Technology Parks of Iran as an empirical study is presented to illustrate the application of the proposed method.Modeling exchange rate and economic sanctions against Iran utilizing the Markov switching method
https://ijnaa.semnan.ac.ir/article_6380.html
Exchange rate stability in the market plays a key role in both competitiveness and as far as reducing economic uncertainty. The exchange rate in Iran has been fluctuating for several years now due to political factors, specifically economic sanctions. Utilizing the Markov switching method, this study has endeavoured to model the direct effects of sanctions on the exchange rate and the indirect impact of sanctions and inflation on the exchange rate between 1985-and 2021. The exchange rate in Iran is dual in nature, meaning there are two systems that govern it: 1-Characterized by low average exchange rates and high standard deviation; 2-High average inflation and low standard deviation. Hence, in this article, two models specified by Markov switching shall be used. The findings reveal the probability of staying in the low exchange rate system is higher than the probability of remaining in the high exchange rate one. In addition, the probability of transition from the low exchange rate system is higher than the opposite probability (due to the stability of the low exchange rate in the country). The findings also show that sanctions have a low and positive effect on the exchange rate. Moreover, the impact of inflation on the exchange rate is positive.Developing a green vehicle routing problem model with time windows and simultaneous pickup and delivery under demand uncertainty: Minimizing fuel consumption
https://ijnaa.semnan.ac.ir/article_6733.html
The vehicle routing problem has attracted much attention in the recent decade. Considering the real-world constraints, many extensions have been developed. This paper develops a new model for the green vehicle routing problem with simultaneous pickup and delivery under demand uncertainty. Due to the problem's complexity, the standard solvers are only able to solve small-scale instances. To solve the large-scale problems, a two-stage algorithm based on the modified AVNS is proposed. Extensive computational experiments are conducted using modiﬁed versions of Solomon&rsquo;s benchmark instances to show the performance of the algorithm. The results affirm that the two-stage algorithm is capable of generating optimal solutions for small-size instances and the planned routes generated for large-size instances were signiﬁcantly more robust against the increase of uncertainty parameters.Idea about using ordinary least square by centroid methods for fuzzy pure spatial autoregressive model
https://ijnaa.semnan.ac.ir/article_6254.html
Introduce some ideas about applied of spatial regression models for independent and dependent fuzzy variables. while the parameters crisp values, which are estimated by the ordinary least squares method. This paper has been formulated fuzzy Pure Spatial Autoregressive Model (FPSAM) from a fuzzy general spatial model, and applied for trapezoidal fuzzy number in the domain traffic accidents for a number of cities in Iraq for the year 2018 and that after converting the Trapezoidal fuzzy number into crisp values by centroid method, calculations the results by Matlab language.&nbsp;The numerical solution of time fractional generalized Benjamin-Bona-Mahony equation via the Sinc functions
https://ijnaa.semnan.ac.ir/article_6745.html
The aim of this paper is to analyze a numerical method for solving the time fractional Benjamin-Bona-Mahony (BBM) equation. The time variable has been discretized by using the finite forward difference procedure. The unconditionally stable semi-discrete formula has been proven. Then we apply the Sinc collocation method to approximate the solution of the semi-discrete scheme. The exponential convergence rate of the Sinc method has also been proven. To show the efficiency of the proposed method, two examples were given. Numerical results verified the theoretical results and illustrate the efficiency and accuracy of the method compared with other methods.Legendre spectral projection methods for linear second kind Volterra integral equations with weakly singular kernels
https://ijnaa.semnan.ac.ir/article_6237.html
In this paper, Galerkin and iterated Galerkin methods are applied to approximate the linear second kind Volterra integral equations with weakly singular algebraic kernels using Legendre polynomial basis functions. We discuss the convergence results in both $L^{2}$ and infinity norms in two cases: when the exact solution is sufficiently smooth and non-smooth. We also apply Legendre multi-Galerkin and iterated Legendre multi-Galerkin methods and derive the superconvergence rates. Numerical results are given to verify the theoretical results.Presenting a model for social responsibility information disclosure with the foundation data theory approach in companies listed on the Tehran Stock Exchange
https://ijnaa.semnan.ac.ir/article_6747.html
This study is aimed at presenting a Model for Social Responsibility Information Disclosure through a data theory approach in companies listed on the Tehran Stock Exchange. This research is an exploratory mix (qualitative and quantitative) in terms of applied purpose, and it is of the database type (qualitative stage) and cross-sectional survey (quantitative stage) in terms of research method. The statistical population in the qualitative section includes 12 experts in the field of accounting, auditing, and financial management who are chosen through the snowball sampling method and the quantitative section of 2184 managers and experts of companies mentioned on the Tehran Stock Exchange (petrochemical companies) in 2020. 317 people were selected by simple random sampling using Cochran's formula. In the qualitative part of the exploratory interview and in the quantitative part, the data collection tool was semi-structured and a questionnaire, respectively. Data analysis in the qualitative domain which is based on open, axial, and selective coding, and in the quantitative domain was done through factor analysis and the Friedman test. The results of the qualitative part concerning the Social Responsibility Information Disclosure indicated that the most vital causal conditions which led to the social responsibility disclosure information included 4 components; i.e. economic utilitarianism, legal requirements, political influence, and managerial personality. The most important contextual conditions that led to the social responsibility disclosure of information included the four components, research areas, educational areas, government regulations, and technological factors. On the other hand, the most important intervening conditions which led to the social responsibility disclosure of information contained 6 components; i.e. market factors, media climate, economic-political factors, cultural-social factors, international factors, and environmental factors. Also, the most important strategies that led to the social responsibility disclosure of information included the three components of cultural affairs, social affairs, and the implementation of appropriate government policies. Finally, the most important consequences that led to the social responsibility disclosure information contained the five components: credit sustainability, corporate sustainability, environmental sustainability, sustainability of political influence, and capital growth. In the quantitative part, the results showed that in social responsibility disclosure information, the highest rank is related to the causal factor with an average rank of 4.34 and the lowest average rank is related to the intervening condition with an average rank of 2.50.Sequences of Cesaro type using lacunary notion
https://ijnaa.semnan.ac.ir/article_6496.html
The scenario &nbsp;of this article is to introduce the space $\mathfrak{R}^{t}_s(p, \Delta)$ &nbsp;based on a general Riesz sequence space. Its completeness property is derived and its linear isomorphism property with $\ell(p)$ is proved. The K\"{o}the-dual property of the space $\mathfrak{R}^{t}_s(p, \Delta)$ is also derived. Furthermore, its basis is constructed and some characterization of infinite matrices are given.New approaches for solving Caputo time-fractional nonlinear system of equations describing the unsteady flow of a polytropic gas
https://ijnaa.semnan.ac.ir/article_6756.html
The main object of this manuscript is to achieve the solutions of a time-fractional nonlinear system of equations describing the unsteady flow of a polytropic gas using two different approaches based on the combination of new general integral transform in the sense of Caputo fractional derivative and homotopy perturbation method and variational iteration method, respectively. The solutions are obtained in the form of rapidly convergent infinite series with easily computable terms.&nbsp; Numerical results reveal that the proposed approaches are very effective and simple to obtain approximate and analytical solutions for nonlinear systems of fractional partial differential equations.Proposing an extended model of dynamic data envelopment analysis using goal programming to calculate relative efficiency of industrial development in provinces of Iran
https://ijnaa.semnan.ac.ir/article_6241.html
The purpose of the present study was to provide a dynamic model of data envelopment analysis by utilizing from goal programming based on variables of population and education in order to evaluate the relative efficiency of industrial development in provinces of Iran during the years 2007 to 2016. For this purpose, the demographic, education and industry development variables were firstly determined with the help of 42 university and industry experts, then the research model was developed which included: objective function in the form of minimizing adverse deviations of goal constraints based on variations of units at different time periods, and model constraints in the forms of goal constraints and system constraints. In the next step, the model was solved through GAMS Software after designing and implementing dynamic and goal models of data envelopment analysis for provinces of the country in the mentioned period. The relative efficiency of industries development of the provinces was separately calculated for each of the understudy years, then the obtained values were used to calculate the relative efficiency of industry development for each province. According to results, Khuzestan province was ranked first and Sistan and Baluchistan province ranked last in term of average relative efficiency.Effects of money volume (liquidity) and inflation rates on capital market development: A mathematical approach
https://ijnaa.semnan.ac.ir/article_6749.html
The capital market is considered a subset of financial markets so the long-term financial resources required by manufacturing companies are provided from this part of the financial system. Therefore, the purpose of this study is to investigate the money supply (liquidity) and inflation rate as components of measuring macroeconomic variables on the development of the Iranian capital market with emphasis on the liberalization of justice stocks. Also, we have tried to study the relationship between macroeconomic variables (inflation and liquidity) with capital market development in the years 1384 to 1399 with quarterly data. The method used in this research is the co-integration method and error correction models and implicit reaction functions and analysis of variance. The hypotheses of this study have also been tested using the Distributed Interrupt Autoregression (ARDL) model. Research findings indicate that economic variables such as inflation, liquidity, exchange rates, etc. are stimulus and effective in changes in stock prices has been accepted as a theory. One of the characteristics of developed countries is the existence of efficient markets and financial institutions that, while playing an important role in the economy of these countries, are also the basis for the economic growth and development of these countries. Tehran Stock Exchange, as one of the main pillars of the capital market in the country, is able to accelerate the movement towards growth and development while equipping and pouring stagnant savings in the country and directing them towards production.Production planning for controllable deteriorating items with price and stock dependent demand rate
https://ijnaa.semnan.ac.ir/article_6229.html
In this paper, an Economic Production Quantity (EPQ) inventory model for deteriorating items with price-stock dependent demand rate under complete and partial backlog is developed, in which the deterioration rate is controlled by investment in preservation technology. To fulfil the demand and to reduce the shortage we have considered the production rate proportional to the selling price of the product. This study is to maximize the total profit for seasonal deteriorating items by simultaneously determining the optimal selling price, the optimal production and the optimal preservation technology cost when the producer invests in the preservation technology to reduce the deterioration rate. We first show that for any given number of the production cycle, optimal selling price and preservation technology cost exists and are unique. Next, we show that the total profit is a jointly concave function of selling price and preservation technology cost. We provide some conditions to determine an optimal solution that maximizes profits for the EPQ model. We then provide a simple algorithm to figure out the optimality of total profit for the proposed model. Mathematical theorems are developed to determine optimal inventory policy. Numerical results demonstrate the advantages of the preservation technology, and further show the effects of different system parameters on the optimal variables and the maximal total profit. Finally, some managerial implications are provided.The difference between teaching general and specific cultural features in learning foreign languages: Mathematical approach
https://ijnaa.semnan.ac.ir/article_6752.html
It is necessary to use language inappropriate discourses and establish a proper intercultural connection, to be familiar with cultural messages and trans-messages. In every culture, language speakers use melody, tone of voice, speed, pause, and loudness for their verbal discourse. And gestures) are also cases that should be considered. Given that existing research on the impact of general and specific cultures on language learners has not been done, the present study has examined and analyzed this. At present, the issue of human communication is one of the most important and important issues that have been considered by linguists, sociologists, psychologists, and philosophers. Cultural education is not only effective in learning a foreign language and its appropriate application in different contexts, but also in inevitable cases and its interaction is so important that it has attracted a lot of attention. In this research, the library method is used for theoretical sections and the field method and distribution of questionnaires are used. To analyze the data, one of the multi-criteria decision-making techniques called fuzzy ANP is used. The results show that in the process of learning foreign languages, general culture with a weight of 0.313 is in the first place and special culture with a weight of 0.241 is in the second place.$H-\mu^{\ast}_e$-essential-supplemented modules
https://ijnaa.semnan.ac.ir/article_6535.html
Let $R$ be a ring &nbsp;and &nbsp;$M$ be a unital left $R$-module. We define $\mu^{\ast}$-essential extension relation on the set of submodules of $M$ and investigate its properties. Moreover, we define $H$-$\mu^{\ast}$-essential-supplemented on $M$ and investigate the relations between $M$ and direct summand of its submodules.Some dominating results of the join and corona operations between discrete topological graphs
https://ijnaa.semnan.ac.ir/article_6795.html
The dominating sets play an important role in applications of graph theory. In this field, some recent studies discussed the properties of the minimum dominating set ($\gamma $-set). The other type of study produces a topological space from the set of vertices or the set of edges of a graph. The previous paper introduces a new method to construct a graph $G_{\tau }$ from the topological space. In this paper, the dominating set and the domination number of $G_{\tau }$ are proved with their inverse. The domination number and inverse domination number of corona operation and join operation between two graphs are discussed.Fuzzy $\alpha$-ideals and $\alpha$-congruences
https://ijnaa.semnan.ac.ir/article_6501.html
In this paper, we introduce $L$-fuzzy $\alpha-$ideals and $L$-fuzzy $\alpha-$congruences on ADL $A$ and we discuss the properties of these. Also, we prove that the homomorphic image and pre-image of an $L$-fuzzy $\alpha-$congruence is also an $L$-fuzzy $\alpha-$congruence on $A$ under certain conditions. Finally, we establish a one-to-one correspondence between $L$-fuzzy $\alpha-$ideals and $L$-fuzzy $\alpha-$congruences on $A$.Sustainable marketing model for sustainable development in the banking industry
https://ijnaa.semnan.ac.ir/article_6754.html
Sustainable consumption has become important in society due to numerous challenges such as climate change, environmental diversity reduction, environmental pollution, and resource depletion. The financial and banking sector is among the influential sectors in sustainable consumption. &nbsp;This study was conducted to design a sustainable marketing model in the banking industry. This statistical research population includes two academic and industrial experts with aware of finance and banking. This study methodology is descriptive and qualitative based on its content and ontology. Thirty-three Delphi panel members were selected to collect data using the judgmental sampling method and snowball. The questionnaire included 61 open and closed questions. Experts were given the questionnaire in two stages to determine the models affecting sustainable marketing in banking. &nbsp;Results: According to the results, innovative, lean, strategy-oriented, and spherical marketing models through internal marketing models and green, social, public, altruistic, and network-based marketing models through cultural marketing influence sustainable marketing in banking. &nbsp;The comprehensiveness and versatility of the concept of sustainable marketing can be the achievement of this research. Based on the studied models, sustainable marketing is achieved when different types of marketing are realized in a set. Their establishment can be expected to achieve sustainable marketing.Developing and presentation of appropriate tools to measure the level of compliance with the criteria affecting the environmental performance of industries using the fuzzy DANP approach
https://ijnaa.semnan.ac.ir/article_6341.html
The main purpose of this study is to provide appropriate tools for measuring the level of compliance with environmental criteria. In order to achieve this importance, the research process has been carried out in two separate stages. First, after studying the theoretical foundations of the research, in order to identify environmental criteria, a qualitative research method with a descriptive phenomenological approach was used. By conducting purposive sampling until reaching the saturation stage, complete interviews were conducted with 15 people and the validity of the results was obtained by using the research background, referring to the participants and obtaining their agreement. In the second stage, in order to determine the weight and importance of the identified criteria, this issue was addressed by designing a questionnaire and consulting environmental experts with the help of the fuzzy DANP (DEMATEL based ANP) technique. According to the identified criteria and determining the weight and importance of each of them by designing and introducing a standard questionnaire as a tool to measure the degree of compliance, the main purpose of the study was achieved. The result of the research in the first stage is identifying 20 criteria and classifying them into 4 general categories and in the second stage determining the weight and prioritization of each of the above criteria and introducing appropriate tools for observing environmental criteria. Findings of the research are effective in better knowledge and understanding of environmental criteria and the extent of their observance, development of environmental accounting standards by industry and encouraging organizations to implement green accounting and will have desirable consequences.A hybrid approach of dynamic image processing and complex network to identify repetitive images of welding defects in radiographs of oil and gas pipelines
https://ijnaa.semnan.ac.ir/article_6757.html
Pipelines are the safest as well as the most economical way to transport gas and condensate over long distances. Radiographic images are provided to commentators as a tool to diagnose welding defects in metal lines, so the study of welding in gas and oil pipelines has always been one of the most important areas of non-destructive testing. Expert interpreters are now used in many countries to interpret radiographic films from non-destructive tests. Interpreters can detect the number of pores on the weld surface by viewing radiographic images due to the limited number of these people and their unavailability. In some cases, there are many problems. For human interpretation, radiographic videos must be collected and sent to the interpreter's place of work or residence. The purpose of this article is to provide a method that can be used to interpret radiographic films quickly using conventional image processing methods and identify the welding defects in them and determine whether these defects are duplicates or not. The method of image segmentation is the area growth method. The main feature of this method is its proper performance in images such as radiographic images that have less subject variety. This method separates a part of the image from the rest by determining a pixel in the image as the starting point and expanding the area around this point due to the similarity between the pixels. In this paper, based on the histogram, the start and end image of the welding range is determined automatically. Then a combination of different standard algorithms is applied to identify defects in the image. Then, the key points of the image are extracted, and using them, the corresponding complex dynamic network is drawn and its calculations are performed. The simulation results show that the proposed method covers the shortcomings of the previous methods and in addition to bringing the detection of welding defects by computer closer to human diagnosis and in some cases works better than human performance, it has also made it possible to identify duplicate images.Stochastic maximum principle for a Markov regime switching jump-diffusion in infinite horizon
https://ijnaa.semnan.ac.ir/article_6502.html
In this paper, we study a stochastic optimal control problem for a Markov regime switching jump-diffusion model. Sufficient and necessary maximum principles for optimal control under partial information in infinite horizon are derived. We illustrate our results by a problem of optimal consumption problem from a cash flow with regime.Identification and screening of psychological factors affecting the financial behavior of investors for providing a structural model: A capital efficiency approach
https://ijnaa.semnan.ac.ir/article_6760.html
In this article, based on the content analysis technique and using an interview tool, we identified the factors affecting the financial behavior model based on psychological factors with the approach of capital efficiency. The identified agents were screened using the fuzzy Delphi technique. Finally, the relevant structural model was presented. The statistical population includes professors and experts in the field of accounting, of which 12 people were sampled through the snowball technique. To collect data, the field method was used with the help of specialized interviews with experts and the fuzzy Delphi questionnaire. Data were analyzed by theme analysis method using MAXQDA software. Based on the library studies of scientific articles and books and reflection on past research, it seems that two categories of internal and external factors (dimensions) can affect the behavioral process of individual investors in the stock market. Three economic, political, and psychological components in the external dimension and two components of the stock market and company conditions were expressed as factors of the internal dimension. Accordingly, it seems that these are the main influencing factors. Psychological characteristics (optimism, overconfidence, risk aversion, and emotion) were identified in this section. The Personality factor was added to the model based on theoretical foundations and studies. According to modern behavioral finance theories, many behavioral issues are involved in investors' decision-making, the most important of which are psychological and Personality factors. People do not always act rationally and often behave unexpectedly and unpredictably. Personal characteristics play an important role in decision-making.A survey of deep learning-based object detection: Application and open issues
https://ijnaa.semnan.ac.ir/article_6525.html
Object tracking and detection are among the most significant jobs in computer vision, having many applications in areas, which includes autonomous vehicle tracking, robotics, as well as traffic monitoring. Several studies have been conducted in past years. However, since detecting various problems, for instance, fast motion, illumination variations, as well as occlusion, study in this field persists. Furthermore, deep convolutional neural networks (DCNNs) have grown increasingly significant for object detection as deep learning (DL) techniques have advanced. As a result, numerous approaches for object detection are studied in this research, as well as a comprehensive. This project encompasses backbone networks, loss functions and training strategies, classical object detection architectures, complex problems, datasets and evaluation metrics, applications, future development directions, as well as a review and analysis of DL-based object detection techniques conducted in previous years. Experts in the field of object detection will benefit from this review article.A nilpotency criterion for finite groups by the sum of element orders
https://ijnaa.semnan.ac.ir/article_6767.html
Let $G$ be a finite group and $\psi(G)=\sum_{g\in G}o(g)$, where $o(g)$ denotes the order of $g\in G$. We give a criterion for nilpotency of finite groups $G$ based on the sum of element orders of $G$. We prove that if $\psi(G)&gt;\frac{13}{21}\psi(C_n)$ then $G$ is a nilpotent group.Energy decay rate of solutions for a plate equation with nonlocal source and singular nonlocal damping terms
https://ijnaa.semnan.ac.ir/article_6722.html
The initial-boundary value problem for a plate equation with a nonlocal source and singular nonlocal damping terms is considered. By using the multiplier method and weighted integral inequalities, we prove that the energy decays exponentially when the damping term has a certain singular nonlinearity. The results of this paper improve the earlier results.Existence results for the $\sigma$-Hilfer fractional boundary value problem involving a generalized $(p_{1}\left( x\right) ,p_{2}\left( x\right) ,...,p_{n}\left( x\right) )$-Laplacian operator
https://ijnaa.semnan.ac.ir/article_6774.html
In this paper, we give the existence results of nontrivial positive solution to the integral-infinite point Hilfer-fractional boundary-value problem involving a generalized (p₁(x),p₂(x),...,p_{n}(x))-Laplacian operatorChildren's learning in math: The effects of an educational program
https://ijnaa.semnan.ac.ir/article_6321.html
Data Envelopment Analysis (DEA) is a methodology to assess the performance of Decision Making Units (DMUs). In recent years, DEA has been used to measure the efficiency and effectiveness of various organizations. In the educational systems, one of the most important issues is choosing the best teaching method among the various educational patterns to teach difficult concepts to the students. For example, the fraction concept is one of the most difficult concepts in Mathematics. Learning this concept requires a series of mathematical procedures consisting of cognitive and skill-based procedures. Therefore, the important question that arises is which method is the best to teach the fraction concept? This study focuses on the effectiveness of the educational designs, Dick and Carey, Merrill and Control, on the students&rsquo; performance of the elementary schools to understand the fraction concept. For this purpose, we use some educational designs to teach the fraction concept to the sixth-grade students of an elementary school in Tehran in 2018-2019 and suggest a DEA model evaluate the effectiveness of the teaching design patterns on the students. Also, we present a statistical analysis for a more accurate comparison of the educational designs, Dick and Carey, Merrill and Control, on the students&rsquo; performance.Tracking the maximum power point of a combined wind and solar power plant with the help of a colonial competition algorithm
https://ijnaa.semnan.ac.ir/article_6771.html
Due to the pollution of energy related to fossil fuels and the cost of production and consumption, today most developed countries are moving towards the use of renewable energy such as wind and solar energy through wind turbines and photovoltaic systems. Solar energy tends to be a global phenomenon. They have clean and effective modern technology that provides a beacon of hope for a future based on sustainable and pollution-free technology. One of the leading challenges in using these resources is energy source changes, in other words, the wind and flux of the sun change during the day and seasons. If it is possible to find the maximum power and extract the appropriate commands for each of the mentioned power plant units, the maximum power can be extracted according to temporal and spatial changes. For this purpose, in this article, in the beginning, in the first part, the problem and the activities taken are described. Then, in the second part, the required formulations and relations are expressed according to the production power in terms of wind, radiation intensity, environmental conditions, and the characteristics of turbines and solar arrays. Then, considering that the pursuit of maximum power requires the use of optimization algorithms, in the third part, the formulation and implementation process of the colonial competition algorithm is fully described. Section 4 presents the results of implementing the algorithm and solving the model in MATLAB. In the simulation section, the solar position for the province of Khorasan Razavi - Iran is considered. Then, using the information of the Meteorological Organization, the average wind speed is approximated. In wind speed modelling, wind speed information of Khorasan Razavi province - Iran has been used for a period of 72 hours. Also, modelling for a combined power plant with a maximum capacity of 225 has been modelled. For the required power, 200 kW is considered in relation to the capacity of power plants, and it also has the ability to be stored in the home battery, which can be used as a storage power plant. Which a good proposed approach has been able to provide the required power in a 24-hour period based on weather and solar conditions. Also, control variables such as the amount of screw angle, torque and rotor to the generator as well as voltage-current at both ends of the cells are optimally obtained. The results during the simulation indicate the achievement of maximum power based on the required power and atmospheric conditions and solar radiation.C*-algebra valued partial metric space and some fixed point and coincidence point results
https://ijnaa.semnan.ac.ir/article_6507.html
In this paper, we introduce the concept of C*-algebra valued partial metric as a generalization of partial metric and discuss the existence and uniqueness of fixed points for a self mapping defined on a C*-algebra valued partial metric space. We use these results to obtain some coincidence point and common fixed point results in this setting. Some examples are provided to justify our results.Identifying key factors affecting the tax avoidance process in private companies: Combining interpretive structural modeling approaches and network analysis process
https://ijnaa.semnan.ac.ir/article_6773.html
The purpose of this study was to identify the key factors affecting the tax avoidance process in private companies. The present study is in the category of basic research in terms of purpose and in terms of nature and method, is a descriptive and case study with private companies in Iran. The statistical population of this research is experts familiar with the topic, which includes professors and experts in the field of taxation. A sample number of 20 experts answered the questions through purposeful judgmental sampling. In order to present the model and identify the key factors, the interpretive structural modelling approach with the help of Matlab software has been used as a qualitative approach. In the quantitative part, to weight and prioritize the factors, the multi-criteria decision approach has been used with the help of a network analysis process and Super Decision software. The results of interpretive modelling showed that the factors of financial leverage, company size, product market competition and financial constraints that are adjacent to the strategic red line, in addition to being strategic research variables, are classified as linked variables. The findings of the network analysis process also showed that the V10 criterion, which is "social trust", is the most important and therefore the most important sub-criterion in presenting the tax avoidance model. The V6 benchmark, which is "financial constraints", is then the second priority. Factors of competition in the product market and corporate social responsibility are ranked third and fourth.Solving differential equations and integral problems using wavelets
https://ijnaa.semnan.ac.ir/article_6504.html
Due to benefit of wavelets through numerical and other estimation methods and edge through Fourier analysis, the wavelet hypothesis has expanded broad significance at the time of previous years basically because of their application in comparing areas of science and masterminding, for instance, viscoelasticity, scattering of a natural people, signal taking care of, electromagnetism, fluid mechanics, electrochemistry, and some more. Wavelet has been fundamentally a wave design whose graph oscillates just through a short separation and dumps extremely quick. It tends to be utilized as equipment for taking care of such mathematical problems as differential conditions and integral issues. We have been utilizing wavelet techniques for fathoming the request differential condition; likewise, consider their accuracy and efficiency.Spatio temporal based distributed message and source location security protocol to wireless sensor network-polynomial based scheme
https://ijnaa.semnan.ac.ir/article_6785.html
Message and node authentication is one among the foremost effective ways to prevent nodes from being propagated, forwarded, and corrupted, unauthorized messages over wireless sensor networks (WSNs). In order to alleviate those challenges, several message authentication schemes based on symmetric or public key cryptosystems have been developed. Despite various benefits, many challenges still exist in the attack mitigating in the wireless sensor network such as considering the reputation of a source and updating it dynamically by considering node transmission characteristics on packet data with the source and intermediate node acts neighbour. In addition, most of them have the constants of communication overhead, high computations, resilience and scalability. To address these issues, a novel polynomial-based scheme has been developed and it has been named Spatial Temporal based Distributed Message and Source Security Authentication Protocol. However, this scheme address all the weakness of built-in threshold-based schemes employed for message authentication in determining the degree of the polynomial. The puzzle-based node authentication has been enabled for intermediate nodes; the proposed scheme allows unlimited message transmission by any node without the struggling problem of the threshold.The boundedness of bilinear Fourier integral operators on $L^2\times L^2$
https://ijnaa.semnan.ac.ir/article_6513.html
In this paper, the regularity of bilinear Fourier integral operators on $L^2\times L^2$ are determined in the framework of Besov spaces. Our result improves the $L^2\times L^2\rightarrow L^1$ boundedness of those operators with symbols in the bilinear Hormander classes.Hyers--Ulam--Rassias stability of Jensen's functional equation on fuzzy normed linear spaces
https://ijnaa.semnan.ac.ir/article_6776.html
In this paper, the Hyers--Ulam--Rassias stability of Jensen's functional equation is discussed in detail on fuzzy normed linear spaces. It is shown through the analysis that every fuzzy approximate Jensen-type mapping can be approximated by an additive mapping. The obtained results are the fuzzy versions of some classical theorems.An efficient framework for glioma tumor classifications and diagnosis using proposed CNN architecture
https://ijnaa.semnan.ac.ir/article_6514.html
This article proposes the deep learning algorithm- Convolutional Neural Networks (CNN) for both Glioma tumor classifications and diagnosis process. This proposed CNN architecture is derived from the conventional CNN architecture to obtain the optimum classification and diagnosis accuracy. This proposed CNN architecture is derived from the conventional system for obtaining the high classification and diagnosis performance. This proposed methodology stated in this paper uses BRATS 2015 open access dataset for obtaining the brain Magnetic Resonance Image (MRI) for tumor region detection. The proposed methodology stated in this paper for tumor diagnosis achieves 97.7% of Jaccard Index (J) and 83.8% of Dice Similarity Index (DSI) and 99.025 of Diagnosis Rate (DR) using CNN algorithm.Does the type of government expenditure affect the cyclicality of fiscal policy? (Case study: Iran)
https://ijnaa.semnan.ac.ir/article_6777.html
One of the main objectives of fiscal policy is to stabilize business cycles and macroeconomic stability. Procyclical fiscal policy intensifies business cycle fluctuations and increases the economy's vulnerability to external shocks. Determining the cyclical properties of various types of government expenditures helps the government to adopt an appropriate fiscal policy in times of economic crisis in a way that ensures economic stability. The purpose of this paper is to evaluate the cyclical features of fiscal policy and its determinants with respect to the various types of government expenditures in Iran. Using Iran&rsquo;s time series data from 1980 to 2019 and a regression-based method with a two-stage autoregressive distributed lags model, this study shows that fiscal policy in Iran is procyclical and therefore does not pursue stabilization. In addition, among the various types of government expenditures, government investment in machinery and total government investment has the highest level of procyclicality. Adding control variables intensifies the procyclicality of government investment in construction and government investment in machinery and total government expenditures, and reduces the procyclicality of government consumption and total government investment.Hilbert matrix operator on Zygmund spaces
https://ijnaa.semnan.ac.ir/article_6361.html
Let $\mathcal{H}_\mu=(\mu_{n+k})_{n,k\geq0}$ with entries $\mu_{n,k}=\mu_{n+k}$ induces the operator $\mathcal{H}_\mu(f)(z)=\sum_{n=0}^{\infty}\left(\sum_{k=0}^{\infty}\mu_{n,k}a_k\right)z^n$ on the space of all analytic functions $f(z)=\sum_{n=0}^{\infty}a_nz^n$ in the unit disk $\mathbb{D}$, where $\mu$ is a positive Borel measure on the interval $[0, 1)$. In this paper, we characterize the boundedness and compactness of the operator $\mathcal{H}_\mu$ on Zygmund type spaces.Analysis of aberrant vocalization and its causes as potential early detection indicators for children with autism
https://ijnaa.semnan.ac.ir/article_6784.html
Early detection and early management of children with Autism Spectrum Disorder (ASD) are crucial to their developmental outcomes. Vocalization refers to the noises that children create before they begin to talk. Studies have indicated that non-speech-like and speech-like vocalizations are the most prevalent cause of ASD children before the age of 2 possible identifying markers. Theoretical reasons for aberrant vocalization in children with ASD largely comprise motivation-oriented, neuromotor-oriented, sensory-oriented and social feedback-oriented to the theory. Future research may be explored to study the potential of aberrant vocalization as a unique early identification flag in children with ASD, boosting sobbing in children with ASD. Research on early screening, examining automatically trained classification models based on the best-predicted set of auditory characteristics, exploring the impact of intrinsic and social motivation on ASD The effect of children's speech-like vocalization and further research on the brain mechanism of ASD children's speech-like speech abnormalities. Thus, early detection and early action gives a more objective theoretical grounding.MLCM: An eﬃcient image encryption technique for IoT application based on multi-layer chaotic maps
https://ijnaa.semnan.ac.ir/article_6571.html
The importance of image encryption has considerably increased especially after the dramatic evolution of the internet of things (IOT) and due to the simplicity of capturing and transferring digital images. Although there are several encryption approaches, chaos-based image encryption is considered the most appropriate approach for image applications because of its sensitivity to initial conditions and control parameters. This research aims at generating an encrypted image free of statistical information to make cryptanalysis infeasible. Therefore, a new method was introduced in this paper called Multi-layer Chaotic Maps (MLCM) based on confusion and diffusion. Basically, the confusion method uses the Sensitive Logistic Map (SLM), H&eacute;non Map, and the additive white Gaussian noise to generate random numbers to be used in the pixel permutation method. However, the diffusion method uses Extended Bernoulli Map (EBM), Tinkerbell, Burgers, and Ricker maps to generate the random matrix. The correlation between adjacent pixels was minimized to have a very small value $(x 10-3)$. Besides, the keyspace was extended to be very large $\left(2^{450}\right)$ considering the key sensitivity to hinder brute force attack. Finally, a histogram was idealized to be perfectly equal in all occurrences and the resulted information entropy was equal to the ideal value(8), which means that the resulted encrypted image is free of statistical properties in terms of histogram and information entropy. Based on the findings, the high randomness of the generated random sequences of the proposed confusion and diffusion methods is capable of producing a robust image encryption framework against all types of cryptanalysis attacks.General bivariational inclusions and iterative methods
https://ijnaa.semnan.ac.ir/article_6787.html
In this paper, we consider some new classes of general bivariational inclusions. It is shown that the general bivariational inclusions are equivalent to the fixed point problems, resolvent equations and dynamical systems. We have discussed the existence of a solution of the general bivariational inequalities. Some new iterative methods for solving general bivariational inclusions and related optimization problems are suggested by using resolvent methods, resolvent equations and dynamical systems coupled with finite difference technique. Convergence analysis of these methods is investigated under monotonicity. Some special cases are also discussed as applications of the main results.$L^\infty$-regularity result for an obstacle problem with degenerate coercivity in Musielak-Sobolev spaces
https://ijnaa.semnan.ac.ir/article_6523.html
Let $\Omega$ be a bounded open subset of $\mathbb{R}^{N},$ $N\geq 2$. In this paper we give an existence result of bounded solution, in Musielak spaces, for unilateral problems associated to the nonlinear elliptic equation $$-\mathop{\rm div}a(x,u,{\nabla}u)+g(x,u,\nabla u)=f \quad\text{in }{\Omega},$$ where the nonlinearity $g$ does not satisfy the well known sign condition and $f$ is an integrable source.Synchronization between two coupled fractional order neuron models using the optimized fuzzy logic controller in the presence of external disturbances
https://ijnaa.semnan.ac.ir/article_6788.html
Appropriate modeling of the coupled neurons helps us understand neurons' natural functions. In this paper fuzzy logic controller has been designed to synchronize two coupled neuron models. The fractional-order neurons are based on the FitzHugh-Nagumo (FHN) model. An optimized fuzzy controller is designed to synchronize the behavior of two neurons with each other in the presence of external disturbances. This controller overcomes the disturbance. The simulation example shows the performance of the proposed method.Interior inverse problems for discontinuous differential pencils with spectral boundary conditions
https://ijnaa.semnan.ac.ir/article_6510.html
In this work, we investigate the inverse problem for differential pencils with spectral boundary conditions having jump conditions on (0; 1): Taking the Weyl function technique, we prove a uniqueness theorem from the interior spectral data.Construction confidence interval for a linear combination of parameters of the two-parameter exponential distribution under type II progressive censoring
https://ijnaa.semnan.ac.ir/article_6791.html
In this paper, to establish general and shortest confidence interval, for a linear combination of parameters of the two-parameter exponential distribution, we introduce a pivotal quantity. In the case of two populations, we use the method of variance estimate recovery and generalized pivotal quantities to construct a confidence interval for the difference of them. Based on the shortest confidence interval, we present a simple method to obtain its percentiles, and which a shorter confidence interval can be constructed. Also, the performances of the presented methods are studied by real data examples and simulations.Study of a mathematical model of an epidemic via dynamic programming approach.
https://ijnaa.semnan.ac.ir/article_6530.html
We use some recent developments in Dynamics Programming Method to obtain a rigorous solution of the epidemic model formulated in E. Tr&eacute;lat [Controle optimal: th&eacute;orie et applications, (online version 2020)] as an unsolved problem. In fact, this problem is proposed in the context of using Pontryagin&rsquo;s Maximum Principle. We use a certain refinement of Cauchy&rsquo;s Method of characteristics for stratified Hamilton-Jacobi equations to describe a large set of admissible trajectories and identify a domain on which the value function exists and is generated by a certain admissible control. The optimality is justified by using of one of the well-known verification theorems as an argument for sufficient optimality conditions.Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate
https://ijnaa.semnan.ac.ir/article_6792.html
This paper concentrates on the parameter estimation for the Generalized Exponential Distribution (GED) in the presence of interval-censored data with covariate. Interval-censored data usually arises in clinical and epidemiological studies. This research attempts to investigate a conservative imputation technique to deal with interval censored data. This is achieved by comparing the bias, standard error (SE) and root mean square error (RMSE) of the maximum likelihood estimation (MLE) obtained without using imputation with the proposed imputation method at various censoring proportion and sample sizes. The results indicate that the proposed imputation method performs better than the traditional method at all sample sizes and censoring proportions.Visualizing the scientific collaboration of nonlinear analysis in co-authorship: a scientometrics study
https://ijnaa.semnan.ac.ir/article_6318.html
Visualizing the scientific outputs in the field of nonlinear analysis (NA) and Mapping the co-author network of researchers in the Web of Science database (WOS) were the main purpose of this research based on scientometric methods. The rate of authors, source titles, Countries/Regions, research area and organizations in NA filed at WOS during 1985-2019 was determined. Co-author network, university co-authorship network and Country co-authorship network in NA filed at WOS during the time span investigated, also were identified by researchers. Totally, 12188 documents on NA subject were indexed on the web of science core collection from 1985 to 2019. The co-author network was mapped and analyzed. The results showed that there is an increasing rate of publishing documents in NA during the time of research.The effect of extreme values on Lomax distribution estimators with simulation
https://ijnaa.semnan.ac.ir/article_6796.html
The significant impact of the extreme values on the estimations of the statistical distributions leads to the fact that the adoption of these estimations in the estimation of many statistical functions such as (reliability, survival) and others is not strictly acceptable because of the high difference between the real and estimated values of these functions. The research included comparing several estimation methods for the Lomax distribution parameter according to different values of the sample size, the value of the distribution parameter and the estimation method. The simulation results showed the effect of the estimator values on the sample size, the value of the distribution parameter and the estimation method. Other estimation methods can be relied upon, as well as other statistical distributions to know the effect of extreme values on them.Fuzzy adaptive routing protocol for packet dissemination in FANET
https://ijnaa.semnan.ac.ir/article_6670.html
In the development of networks, a new paradigm called flying adhoc networks (FANET) has evolved recently. FANET&rsquo;s are comprised of unmanned aerial vehicles like drones, autonomous flights, etc. Drones are mainly used for surveillance, logistics, etc. On the verge of this FANET, many issues are arising regarding their proper usability, one among them being the routing of packets from the ground station to the destined drone. In this research work, we have developed a protocol for packet delivery called fuzzy adaptive routing protocol. This protocol uses factors like signal quality, signal to inference and noise ratio, hop count, and timestamp of the packet to decide on the broadcasting of route requests and reply messages. This protocol mainly contains two phases namely: controlled route request/reply broadcasting and optimal route selection for packet delivery. The performance of the proposed protocol is compared with recent techniques and the comparison depicts that the proposed protocol outperforms them and provides consistent service quality.Ranking the success factors of NPD with a WCM approach (Case study: Active companies in the food industry)
https://ijnaa.semnan.ac.ir/article_6797.html
In today's world, increasing demand changes, intense competition, shortening the product life cycle, and on the other hand, the movement of manufacturing towards globalization has forced organizations and companies to develop new products globally. Therefore, the purpose of the present study was to rank the success factors of NPD with a WCM approach in Iran. In the first part of the research, 14 interviews were conducted with professors, experts, and managers of the food industry. After conducting interviews and collecting data, the codes obtained in different sections were analyzed using the grounded theory. After performing the three open, axial, and selective coding steps, the final model was obtained. In this research, Atlas-ti software has been used to analyze the data. The final model consists of a set of causal conditions, underlying conditions, intervention conditions, main categories, strategies, and finally, the consequences and results of the success of NPD with a WCM approach in the food industry. Each of these conditions and the factors that make up the model has variables and categories that pay attention to them to achieve the ultimate goal of designing a model for the success of NPD with a WCM approach. In the second part of the research, the relationship between the variables was examined using a pairwise comparison questionnaire, and the data were analyzed using the fuzzy BWM method using Lingo software.A study on analytic resolvent semilinear integro-differential equations with control functions
https://ijnaa.semnan.ac.ir/article_6536.html
The goal of this research is to look at some of the sufficient conditions for approximate controllability in nonlinear resolvent integro-differential evolution control systems. We have considered that nonlinear term is satisfying Lipschitz continuity. To show the key results, we employ Gronwall's inequality, semigroup theory, and the resolvent operators. The main results have been discussed under two sets of assumptions. Application of common fixed point theorems such as Banach, Schauder, Sadovskii, etc. is avoided as discussed earlier by several researchers in the available literature. Finally, one case study based on the proposed problem is discussed in order to verify the theoretical findings.Haar wavelet based numerical method for solving proportional delay variant of Dirichlet boundary value problems
https://ijnaa.semnan.ac.ir/article_6799.html
In this paper, We studied an application of the Haar wavelet basis in solving a particular class of delay differential equations. We have extended the Haar wavelet series(HWS) method to develop a numerical technique to solve linear and nonlinear Dirichlet boundary value problems of proportional delay nature. Some problems are presented to test the efficiency of the proposed technique, where a remarkable agreement between approximate and analytic solutions is obtained. The numerical simulation indicates that error drops with the increase in the level of resolution. Also, it is observed that the rate of convergence tends to be 2.Some new Hermite-Hadamard type inequalities for p−convex functions with generalized fractional integral operators
https://ijnaa.semnan.ac.ir/article_6468.html
By use of definition of a generalized fractional integral operators, proposed by Raina and Agarwal et.al, we establish a fractional&nbsp; Hermite-Hadamard type inequalities for p&minus;convex functions and an identity with a parameter. We derive several parameterized&nbsp; integral inequalities associated with this identity, and provide two examples to illustrate the obtained results.Effect of nanoparticle loading on the polymer surface (Polyether-block-amide) in CO2/CH4 selectivity
https://ijnaa.semnan.ac.ir/article_6801.html
In this research, we want to separate carbon dioxide gas from methane gas. Polymer (poly-ether-block-amide) has properties that absorb carbon dioxide well. Zeolite 4 A nanoparticles have fine pores and are proportional to the kinetic diameter of carbon dioxide, so they can act as a molecular sieve in the membrane, this nanoparticle was added to the polymer to obtain Pebax/4A nanocomposite membrane. Nanoparticles can improve carbon dioxide emissions and the thermal and mechanical stability of membranes. In this research, we want to investigate the effect of nano zeolite loading on the permeability and selectivity of carbon dioxide. By adding nanoparticles to the polymer, its structure was changed, so the nanocomposite membrane was evaluated by FESEM, BET, FTIR, and analyses. Finally, permeability, selectivity, diffusion coefficient, and solubility coefficient of carbon dioxide were calculated.Ergodic properties of pseudo-differential operators on compact Lie groups
https://ijnaa.semnan.ac.ir/article_6317.html
Let $ \mathbb{G} $ be a compact Lie group. This &nbsp;article shows that a contraction pseudo-differential operator &nbsp;$ A_{\tau} $ on $ L^{p}(\mathbb{G}) $ has a Dominated Ergodic Estimate (DEE), and is trigonometrically well-bounded. Then we express ergodic generalization of the Vector-Valued M. Riesz theorem for invertible contraction pseudo-differential operator &nbsp;$ A_{\tau} $ on $ L^{p}(\mathbb{G}) $. For this purpose, we show that $ A_{\tau} $ is a Lamperti operator. Then we find a formula for its symbols $ \tau$. According to this formula, a representation for the symbol of adjoint and products is given.Integral inequalities for functions satisfying certain convexity conditions
https://ijnaa.semnan.ac.ir/article_6806.html
In this article, some integral equations are obtained and based on these integral equations, new integral inequalities are obtained for convex functions that satisfy certain convexity conditions.Existence theory and stability analysis to the system of infinite point fractional order BVPs by multivariate best proximity point theorem
https://ijnaa.semnan.ac.ir/article_6550.html
This paper deals with the existence of solutions to the system of nonlinear infinite-point fractional order boundary value problems by an application of n-best proximity point theorem in a complete metric space. Further, we study Hyers-Ulam stability of the addressed system. An appropriate example is given to demonstrate the established results.Face mask detection based on algorithm YOLOv5s
https://ijnaa.semnan.ac.ir/article_6809.html
Determining the face of wearing a mask from not wearing a mask from visual data such as video and still, images have been a fascinating research topic in recent decades due to the spread of the Corona pandemic, which has changed the features of the entire world and forced people to wear a mask as a way to prevent the pandemic that has calmed the entire world, and it has played an important role. Intelligent development based on artificial intelligence and computers has a very important role in the issue of safety from the pandemic, as the Topic of face recognition and identifying people who wear the mask or not in the introduction and deep education was the most prominent in this topic. Using deep learning techniques and the YOLO ("You only look once") neural network algorithm, which is an efficient real-time object identification algorithm, an intelligent system was developed in this thesis to distinguish which faces are wearing a mask and who is not wearing a wrong mask. The proposed system was developed based on data preparation, preprocessing, and adding a multi-layer neural network, followed by extracting the detection algorithm to improve the accuracy of the system. Two global data sets were used to train and test the proposed system and worked on it in three models, where the first contains the AIZOO data set, the second contains the MoLa RGB CovSurv data set, and the third model contains a combined data set for the two in order to provide cases that are difficult to identify and the accuracy results that were obtained. obtained from the merging datasets showed that the face mask (0.953) and the face recognition system were the most accurate in detecting them (0.916).The regressions of least absolute shrinkage and selection operator with applications
https://ijnaa.semnan.ac.ir/article_6553.html
Lasso regression model is a causal model based on providing a more accurate estimator through the model's dependence on shrinkage, in which the data values were reduced towards the data center. This model solves the problems of multicollinearity presence of high relationships between the explanatory variables of the model. In this research, a number of factors (sample size, number of explanatory variables and pollution rate) were adopted in order to observe the ability of these factors to effect Lasso regression.Existence of three solutions for a boundary value problem with impulsive effects
https://ijnaa.semnan.ac.ir/article_6811.html
In this paper, we are concerned with the existence of multiplicity solutions for a Dirichlet impulsive differential equation. The approach is based on variational methods.An additive $(u, \beta)$-functional equation and linear mappings in Banach modules
https://ijnaa.semnan.ac.ir/article_6651.html
Let $A$ be a unital $C^*$-algebra. In this paper, we investigate &nbsp;the additive $(u, \beta)$-functional equation \begin{eqnarray}\label{0.1}f(x)+ u^* f(u y)+ &nbsp;f( z) = &nbsp;\beta^{-1} f(\beta(x+y+z))\end{eqnarray}for all &nbsp;unitary elements $u$ in $A$ &nbsp;and for a fixed nonzero complex number $\beta$. Using the fixed point method and the direct method, we prove the Hyers-Ulam stability &nbsp;of the additive $(u, \beta)$-functional equation (\ref{0.1}) &nbsp;in &nbsp;Banach modules.Some iterative algorithms for Reich-Suzuki nonexpansive mappings and relaxed $(\alpha,k)$-cocoercive mapping with applications to a fixed point and optimization problems
https://ijnaa.semnan.ac.ir/article_6813.html
In this paper, we propose an iterative method for finding the common element of the set of fixed points of Reich-Suzuki nonexpansive mappings and the set of solutions of the variational inequalities problems in the framework of Hilbert spaces. In addition, we establish convergence results for these proposed iterative methods under some mild conditions. Furthermore, we establish analytically and numerically that our newly proposed iterative method converges to a common element of the set of fixed points of a Reich-Suzuki nonexpansive mapping and the set of solutions of the variational inequalities problems faster compared to some well-known iterative methods in the literature. Finally, we apply our proposed iterative method to approximate the solution of a convex minimization problem. The results obtained in this paper improve, extend and unify some related results in the literature.Legendre cardinal functions and their applications in solving nonlinear stochastic differential equations
https://ijnaa.semnan.ac.ir/article_6557.html
This paper presents a new numerical technique for solving stochastic Ito integral equations. A new operational matrix for integration of cardinal Legendre polynomials are introduced. By using this nexw operational matrix of integration and the so called collocation method, stochastic nonlinear integral equations are reduced to systems of algebraic equations with unknown coefficients. Only small dimension of Legendre operational matrix is needed to obtain a satisfactory results.Some error estimations are provided and illustrative examples are also included to demonstrate the efficiency of the new technisue.Selection of optimal method to predict report type of independent auditor: Comparison of two approaches of support vector machine and neural network
https://ijnaa.semnan.ac.ir/article_6814.html
Investors, creditors, government and other users of financial statements rely on financial information given by the managers of firms to make logical and reasonable decisions. In many cases, the purposes of providers are contradictory to the users&rsquo; ones. Therefore, auditing is a tool to enhance the reliability of financial statements presented by firms. In the current research, the selection of an optimal method to predict the report type of independent auditor has been addressed and two approaches of vector machine and neural network have been compared. It was conducted during 2008-2017. 84 firms were reviewed. To train and test the research variables, Voka software has been implemented. The dependent variable is the report type of auditor. Results indicated that the accuracy of the support vector machine algorithm was computed as 66.13% and 56.74% for the training and testing sections, respectively. As well, the accuracy of the neural network model was 61.24% and 55.02% in the training and testing sections, respectively. The support vector machine model was more effective than the neural network.Providing a secure technology transfer model to assess and manage financial and banking risks based on internet of things
https://ijnaa.semnan.ac.ir/article_6316.html
The purpose of this applied research was to provide a Risk Assessment Model for Internet of Thing Based Technology Transfer in the Banking Area, and the Strauss and Corbin method is used to identify the initial model. In the qualitative section, by conducting in-depth interviews with 35 experts in the banking technology industry as well as technology-based banking, the information collected was analyzed in three stages open coding, axial coding, and selective coding. In a small part of the statistical population, experts and managers active in the Iranian banking industry, the sample size according to Morgan's table was 386. The results of structural equations and exploratory analysis showed that all relationships between causal factors and the main phenomenon, interfering factors and the main phenomenon The underlying factors and the main phenomenon, the main phenomenon and the strategy, and finally the relationship between the strategy and the results are evaluated in a high to medium level and in a positive and direct way.Generalization of the Titchmarsh’s theorem for the second Hankel-Clifford transformation
https://ijnaa.semnan.ac.ir/article_6817.html
Using a generalized translation operator, we obtain an analogue of Titchmarsh's theorem for the second Hankel-Clifford transformation for functions satisfying the second Hankel-Clifford &nbsp;Lipschitz condition in the space $L_{\mu}^{2}((0,+\infty),x^{\mu})$.Robot control interaction with cloud-assisted analysis control
https://ijnaa.semnan.ac.ir/article_6579.html
Path planning with avoiding obstacles autonomously with a large of computing capabilities in an unknown dynamic environment is a difficult challenge for a mobile robot to solve. This research solves this challenge by combining deep Q-network (DQN) with cloud computing. To begin, a DQN is created and trained to predict the state-action value function of a mobile robot. The information collected from the original RGB image (pixels in the image) taken from the surrounding is fed into the DQN using a cloud computing platform, which reduces the algorithms high computation complexity; Finally, the action chosen policy picks the current optimal mobile robot action. To validate the DQN algorithm, we trained the robot in a dynamic environment with a simple and complex case. The simulation results show that, in a simple case of the environment, the DQN technique can converge to explore a path with fewer steps and higher average reward than in a complicated case and find a collision-free path with an accuracy rate of 89\% in the simple case and when the environment becomes more complex, the accuracy rate is 70 %.Hidden Markov model and Persian speech recognition
https://ijnaa.semnan.ac.ir/article_6818.html
Nowadays, speech recognition, which simply refers to the process of converting an audio signal into its equivalent text, has become one of the most important research topics. Although many studies have been conducted in the field of speech recognition for many languages of the world, but can be said that no more study has been conducted in the Persian language and therefore it is necessary to conduct more studies in this field. Since Persian is a rich language that can create many new words by adding a suffix (prefix) to its main root, so it can be said that the success rate of voice recognition programs in this language has also increased with the increase in the number of phonemes and therefore can have a significant improvement. Therefore, in this study, a practical approach to Persian speech recognition based on syllables, which are a unit between phonemes and words, has been used and done by the hidden Markov model. After obtaining syllable utterances, multiple coefficients are calculated for all syllables. Finally, suitable models were created and the success rate was calculated by conducting tests for the systems. To measure the performance of the system, the error rate criterion was used. The results of this study show that the word error rate for the hidden Markov model was 18.3% and increased the system performance by approximately 16% after post-processing.The reverse diamond-α Minkowski inequality on time scales
https://ijnaa.semnan.ac.ir/article_6572.html
In this paper, we give a new version of the reverse Minkowski inequality on time scales by applying diamond-$\alpha$ calculus for two parameters $p, q$ and a weight function $\nu$.Remarks on the paper "Best proximity point theorem in higher dimensions with an application"
https://ijnaa.semnan.ac.ir/article_6819.html
Very recently S. Mondal et al. [Best proximity point theorem in higher dimensions with an application, Int. J. Nonlinear Anal. Appl. (2022) ] introduced the concept of $F_n$-contractions ($n\geq 2$) and investigated the existence and uniqueness of an $n$-tuple best proximity point for this class of mappings in the framework of metric spaces. In this paper, we prove that their main result is a straightforward consequence of the Banach contraction principle.Dissipation coefficient from low-momentum and pole contribution warm inflation
https://ijnaa.semnan.ac.ir/article_6315.html
The conventional models of warm inflation include the two-stage field interaction mechanism where the inflation field interacts with other intermediate fields (bosonic and fermionic fields), which are coupled with other fields themselves. These heavy intermediate fields decay to light degrees of freedom. During these two-stage renormalizable interactions under adiabatic conditions and close to the thermal equilibrium state, the dissipative effects are produced and cause alterations in the inflationary dynamics. Interaction between the inflation, intermediate and radiation fields lead to the formation of a thermal bath during inflation, and therefore the effect of thermal and radiative corrections should also be addressed. In this work, by focusing on the regime in which the intermediate field mass is greater than temperature, a relationship is obtained for the dissipation coefficient based on the super-symmetric and numerical calculation models, which is originated from both real and virtual modes of the intermediate field. Moreover, it is indicated that the contribution of on-shell modes decay to the bosonic and fermionic radiation fields is more than expected. It is also demonstrated that there are strong dissipative effects in the validity range of a perturbative analysis.A dynamic model for evaluating the effect of technology on the development of the industrial clusters using a system dynamics approach
https://ijnaa.semnan.ac.ir/article_6820.html
The present study is problem-oriented applied research seeking to figure out the role and effect of technology models in and on the creation and development of the knowledge-based industrial clusters in Sistan and Baluchestan Province using the system dynamics approach and Vensim Simulation Method. The required information for the research has been collected through library research and field studies based on open interviews with 12 experts who have been selected via judgmental and purposive sampling methods. The research&rsquo;s causal diagram has been drawn following the identification of the risk indices and dimensions based on experts&rsquo; notions through the use of a fuzzy analytic hierarchy process. In the end, corresponding to the system&rsquo;s dynamics modelling, the research&rsquo;s dynamic model has been designed using Vensim Software. In this regard, two objectives are sought considering the region&rsquo;s infrastructures and potential: the first is the improvement of the regional development through setting the required grounds and acquiring technologies effective in the development and introduction of the new industries; the second goal is an enhancement of the industries&rsquo; competitive potency in terms of the industrial clusters&rsquo; growth and development within the framework of the macro-level economic policies. The article can be utilized in various industrial arenas and it can also express a perspective about the industrial clusters of science and technology usable by the private sector within a development process capable of accelerating economic growth. That is because technology development is among the inevitable stages of modern technologies&rsquo; advancement and use, and, in fact, research organizations should find the proper grounds for their research findings and provide the investors with their research accomplishments because it can in this way lead to the formation of novel industries and, on the other hand, heightening of the efforts parallel to the presentation of a vivid image of the potential and actual competencies to the industrial clusters which can subsequently take part in the creation of new job, entrepreneurship and innovation opportunities.Finite-time boundedness of stochastic nonlinear reaction-diffusion systems with time delays and exogenous disturbances via boundary control
https://ijnaa.semnan.ac.ir/article_6564.html
This paper investigates an finite-time boundedness of stochastic nonlinear reaction-diffusion systems (SNRDSs) with time delays and exogenous disturbances via boundary control. Both SNRDSs with and without exogenous disturbances are discussed. We design boundary controller is efforts to achieve the required dynamic behaviors of such SNRDSs. By utilizing Lyapunov-Krasovskii functional (LKF), Wirtinger&rsquo;s inequality, Gronwall inequality, and linear matrix inequalities (LMIs), sufficient conditions are derived to guarantee the finite-time bounded of proposed systems. Furthermore, the control gain matrices are defined for desired boundary controller. At last, two numerical examples are provided to demonstrate the efficacy and validity of obtained main results.Fixed points for weakly contractive mappings in rectangular $b$-metric spaces
https://ijnaa.semnan.ac.ir/article_6821.html
In this paper, inspired by the concept of generalized weakly contractive mappings in metric spaces, we introduce the concept of generalized weakly contractive mappings in rectangular $b$-metric spaces to study the existence of fixed points for the mappings in these spaces.Rings domination in graphs
https://ijnaa.semnan.ac.ir/article_6544.html
The aim of this paper is to introduce a new parameter of domination in graphs called "Rings Domination Number". Some properties and important boundaries of the rings dominating set and rings domination number have been discussed. Also, this number for certain graphs have been determined. Furthermore, some operations on two graphs as join, composition, cross product and corona, have been introduced and determined the rings domination numbers for each one of them.Investigating the effect of emotional intelligence on the relationship between self-interpretation and auditor objectivity
https://ijnaa.semnan.ac.ir/article_6827.html
The purpose of this article is to investigate the effect of emotional intelligence on the relationship between self-interpretation and auditor objectivity. The method of data collection is library and field. The research method is descriptive-correlational. In order to collect data by field method, interviews with experts, accountants and auditors were conducted using a questionnaire. The statistical population of the study is 107 companies listed on the stock exchange in 1398 . In order to determine the sample size , a stratified random sampling method has been used. Based on this and according to Krejcie and Morgan's table, 86 companies have been selected as a sample . Data analysis using SPSS software was performed. The results showed that Cronbach's alpha value of all research variables was above 0.7, so it indicates that the questionnaire had good reliability. The results showed that there is a positive and significant effect between the self-interpreting variable with auditors 'objectivity and emotional intelligence and emotional intelligence on auditors' objectivity at the level of 0.1%. Value R 2 The results are 0.46 , 0.7 , 0.23, -respectively. The results of the analysis of the main hypothesis showed that there is a positive and significant effect between all factors. And their value is higher than 0.3, which shows a favourable relationship . The results of the fit indices show that the model has a good fit. The ratio of chi-square to the degree of freedom is 2.71. The root means the square root of the approximation error RMSEA is 0.04. Other fitness indicators such as good fit index GFI ) and adjusted goodness fit index AGFA were 0.92 and 0.93, respectively, which confirm the model fit.On the stability of an Euler Lagrange type cubic functional equation using the fixed point method
https://ijnaa.semnan.ac.ir/article_6576.html
This paper establish the existence of solution, and the Hyers-Ulam-Rassias stability of an Euler Lagrange type cubic functional equation using the fixed point method.On the solutions of some nonlinear quadratic integral equations on an unbounded interval
https://ijnaa.semnan.ac.ir/article_6829.html
In this paper, we study the existence of the solutions of a class of functional integral equations which contain a number of classical nonlinear integral equations as special cases. The investigations are placed in the Banach space of real functions defined, continuous on the real half-axis and vanishing at infinity. The method used in our considerations depends on suitable conjunction of the technique of measures of noncompactness with the classical Schauder fixed point theorem. &nbsp;The results obtained in this paper extend and improve essentially some known results in the recent literature. Besides, three examples showing the generality and applicability of our results are presented.Convergence theorems of new three-step iterations scheme for $I$-asymptotically nonexpansive mappings
https://ijnaa.semnan.ac.ir/article_6582.html
Abstract. The purpose of this paper is to establish weak and strong convergence theorems of new three-step iterations for I-asymptotically nonexpansive mappings in Banach space.Also we introduce and study convergence theorems of the three-step iterative sequence for three I-asymptotically nonexpansive mappings in an uniformly convex Banach space. The results obtained in this paper extend and improve the recent ones announced by Chen and Guo [1], S. Temir [14], Yao and Noor[16] and many others.Measurement of the effects of composite indices on Iran's economic growth with an Islamic approach in 1996-2019
https://ijnaa.semnan.ac.ir/article_6831.html
Economic growth and development are macroeconomic objectives for increasing welfare and economic-social justice. Several factors affect economic growth but their effects can be better examined using composite indices which are suitable indicators in the economic literature for performance evaluation and knowledge about the gap between the current status and goals of economic programs and policies. Therefore, the present manuscript aimed to provide and measure the composite indices, macroeconomic and social variables, and their effects on economic growth with the economic jurisprudence approach. To this end, the vector error correction model (VECM) was used for the period 1996-2019. The results of the impulse response function (IRF) test indicated that the economic growth of Iran had a very slight negative response to the impulse of the composite indices, including economic security, production and productivity, and property rights in the long term. Therefore, the composite indices, including economic security, productivity, and property rights could not significantly affect economic growth in Iran in the long term while the economic growth showed a positive and stable reaction to the impulse of the economic-social justice index in the long term. Furthermore, the increase in the cooperation, participation and presence of the active population with the ability to work in the field of production and economic activities increased economic growth.The protective role of corporate social responsibility performance during the coronavirus pandemic disease: Performance evaluation using a mathematical model of the directional distance function
https://ijnaa.semnan.ac.ir/article_6201.html
The outbreak of coronavirus worldwide has created many problems for companies. Companies are looking for a suitable solution to overcome this crisis. One of the measures that can reduce the negative effects of this crisis is the expansion of corporate social responsibility(CSR) activities. The purpose of this study was to investigate the protective role of the performance of CSR activities from stock returns and its effect on shareholder attention during coronary heart disease. This study is an event study that is considered for a period of six months from the beginning of the outbreak of coronavirus in Iran (February 2020) to the end of August 2020. The data analysis was performed using Eviews software and information of 33 sample member companies listed on the Tehran Stock Exchange, in three industries: pharmaceutical, food, and transportation, by least squares regression (OLS) method. The results show that the performance of CSR activities related to community indicators, employee relations, and human rights in the event periods have a positive role on the corporate stock returns and other activities do not play an effective role. The results also show that the performance of CSR has a positive and significant effect on the attention of shareholders. Using the obtained results, it can be concluded that corporations can attract stakeholders and protect the value of the companies by increasing the performance of CSR activities, especially in the community, employee relations, and human rights during the coronavirus pandemic disease period.Fixed point results for generalized $(\alpha,\psi,\varphi)$-Geraghty contraction in b-metric spaces
https://ijnaa.semnan.ac.ir/article_6832.html
In this paper, first, we introduce $ (\alpha,\psi,\varphi) $-Geraghty and generalized $ (\alpha,\psi,\varphi) $-Geraghty contraction mappings in b-metric spaces and then we prove the existence and uniqueness of fixed point after exploring all the conditions which guarantee the existence of fixed point. Our results extend and generalize related fixed point results in the existing literature. We also provide examples in support of our main findings.Brain tumor segmentation and classification: A one-decade review
https://ijnaa.semnan.ac.ir/article_6595.html
Image segmentation is a common technique in digital image processing and analysis that partitions an image into several regions or zones, frequently based on the pixels' attributes. Brain tumor segmentation is a crucial task in medical image processing. Early identification of brain tumors enhances treatment options and increases the patient's chance of survival. Brain segmentation from a significant number of MR images obtained in medical treatment is a challenging and time-consuming assignment for cancer diagnosis and other brain diseases. That is why it is crucial to establish an efficient automatic image segmentation system for the diagnosis of brain tumors and other prevalent nervous diseases. The goal of this research is to undertake a systematic review of MRI-based brain tumor segmentation approaches. Deep learning techniques have proven useful for automatic segmentation in recent years and gained prominence, as these methods produce superior results and are thus better suited to this task than other methods. Deep learning algorithms may also be used to process enormous volumes of MRI-based image data quickly and objectively. Many review papers on traditional MRI-based brain tumor image segmentation algorithms are available.The relationship between accounting comparability, financial reporting quality and pricing of accruals
https://ijnaa.semnan.ac.ir/article_6833.html
The current paper investigates the relationship between comparability of accounting, quality of financial reporting and pricing of accruals. Thus, data for 107 companies listed on the Tehran Stock Exchange for a period of ten years (from March 2011 to March 2020) were extracted and then research variables were calculated and the necessary statistical tests were performed. This is a descriptive-corequational experiment using a post-event approach. the research hypotheses were tested through multiple linear regression based on composite data. Statistics and econometrics have examined and tested the hypotheses. Research findings showed a significant positive relationship between the comparability of accounting and the quality of financial reporting as well as a significant negative relationship between the comparability of accounting and pricing of accruals.On optimizing scalability and availability of cloud based software services using scale rate limiting algorithm
https://ijnaa.semnan.ac.ir/article_6578.html
In this paper, the scale rate-limiting algorithmic approach namely the Token bucket algorithm is utilized to optimize the performance of cloud based software services. In distributed applications, higher availability and scalability have long been a critical challenge. In cloud computing, offering highly accessible services is critical for retaining client satisfaction, confidence and avoiding revenue losses. The gateway Zuul is considered as the entryway to various services in the Spring Cloud based software service must perform the rate-limiting process and make sure the service's reliability in the event of excessive scalability. The token bucket rate-limiting technique cannot ensure core service availability. To address this issue, this study developed an overload protection technique depending on a URI configuration file in conjunction with the Zuul gateway that may filter requests before obtaining tokens. The token bucket rate-limiting algorithm is implemented the traffic limitation function and ensured the cloud platform service's reliability and availability. The estimation of scalability, as well as availability, demonstrates the level of service supplied to consumers in response to their requests. The elasticity measures are used to assess the cloud based software services performance in terms of scalability. In the future, cloud computing improvements and expansion might increase cloud-based software services.Relative uniquely remotal centers in normed linear spaces
https://ijnaa.semnan.ac.ir/article_6834.html
In this paper, we consider ``uniquely remotal center" and `` relative uniquely remotal center" in normal spaces. We define relative sun sets and sunrise sets in normal spaces. We show that every uniquely remotal set has zero Chebyshev radius and every remotal set in strictly convex space has at most a singleton Chebyshev center.Numerical solution of the linear inverse wave equation
https://ijnaa.semnan.ac.ir/article_6539.html
In this paper, a numerical method is proposed for the numerical solution of a linear wave equation with initial and boundary conditions by using the cubic B-spline method to determine the unknown boundary condition. We apply the cubic B-spline for the spatial variable and the derivatives, which generate an ill-posed linear system of equations. In this regard, to overcome, this drawback, we employ the Tikhonov regularization (TR) method for solving the resulting linear system. It is proved that the proposed method has the order of convergence $O\Bigl((\Delta t)^2+h^2\Bigr)$. Also, the conditional stability by using the Von-Neumann method is established under suitable assumptions. Finally, some numerical experiments are reported to show the efficiency and capability of the proposed method for solving inverse problems.A generalization to parametric metric spaces
https://ijnaa.semnan.ac.ir/article_6835.html
Following the concept of parametric metric space introduced by N. Hussain et al., the definition of generalized parametric metric space is given. A decomposition theorem from a generalized metric into a family of crisp metrics is established. Another decomposition theorem from a family of the crisp metric into a generalized parametric metric identical to the first one under certain conditions is proved. Some basic results are studied and develop a Banach type fixed point theorem with an application to an integral equation.Analysis of a delayed HIV pathogenesis model with saturation incidence, both virus-to-cell and cell-to-cell transmission
https://ijnaa.semnan.ac.ir/article_6586.html
In this paper, we proposed and studied a delayed HIV pathogenesis model with saturation incidence, both virus-to-cell and cell-to-cell transmission. We address the basic reproduction number R0, the characteristic equations, and local stability of feasible equilibria are established. Where the delay incorporates both virus-to-cell and cell-to-cell transmission. Moreover, we discuss the existence of Hopf Bifurcation when a delay is used as a bifurcation parameter. Numerical simulations are performed to satisfy our theoretical results.Designing a model for achieving sustainable competitive advantage through business intelligence using system dynamics modeling in Tehran Oil Refining Company
https://ijnaa.semnan.ac.ir/article_6836.html
Competitive advantage is one of the components that ensure organizational viability. Gaining a competitive advantage is not achieved randomly and without a plan; Rather, organizations should move in this direction by thinking and designing scientific frameworks and creating appropriate structures. There are several strategies that organizations must use to gain a competitive advantage. Smart businesses are recognized in most countries as important elements in socio-economic development. These businesses are especially important in creating job opportunities with low investment, regional development, organizational development of companies based on the principles of technology, product innovation and the creation of new methods. The research method in this paper is the modelling of system dynamics in Tehran Oil Refining Company, the results of which have been analyzed by descriptive statistical methods. The data collection method of this research in the quantitative part is prepared with questionnaires that managers, experts and experts complete sustainable competitive advantage through business intelligence using system dynamics modelling in Tehran Oil Refining Company, and data collection tools to The statistical population of this research is the staff and customers of Tehran Oil Refining Company and the method of data analysis is the use of Vensim software version 19 and modelling method, dynamics. It is a system. The purpose of this study is to design a model for achieving sustainable competitive advantage through business intelligence using system dynamics modelling in Tehran Oil Refining Company. The results of this study showed that managers of different industries can use this model and consider other variables, using the documents in their organization, the effectiveness of each of the criteria for achieving sustainable competitive advantage through business intelligence on the criteria. And predict their desired indicators such as brand equity, brand market share, profitability, demand, etc.Application of data mining in assessing the level of corporate social responsibility disclosure compliant with financial performance and accounting criteria
https://ijnaa.semnan.ac.ir/article_6290.html
Utilizing new models instead of traditional statistical models can be quite useful in this field. Examples include data mining, which possesses both high speed and accuracy as well as nonlinear and non-parametric properties Therefore, in the present study, the effects of performance criteria on social responsibility disclosure level was investigated and analyzed via utilization of data mining, Henceforth, a model will be presented aiming to estimate/project the optimal level of social responsibility disclosure grounded on performance criteria. The present study is applied in terms of its nature and purpose/objective as well as based on the field research method of data collection. The statistical population are companies listed on the Tehran Stock Exchange and the required data were collected and analyzed using six data mining methods during the 2013-2019 period. The findings reveal it is possible to classify and predict the optimal level of corporate social responsibility disclosure within the Iranian economic circumstances/environment. Moreover, the utilization of the classification algorithm in the vicinity of the nearest neighbor can accurately predict the optimal level of corporate social responsibility disclosure based on performance criteria. The findings of this study indicate that performance metrics can be a positive predictor of the optimal level of corporate social responsibility disclosure. In addition, due to the potent strength of the proposed model, the used model in this research can be utilized to rank/rate the level of corporate social responsibility disclosure.High performance of the Remez algorithm in ﬁnding polynomial approximations for the solution of integral equations
https://ijnaa.semnan.ac.ir/article_6837.html
In this paper, the solution of the general integral equation of the second kind is approximated using polynomials. These polynomials are obtained based on the Remez algorithm and the minimization of residual function. The nature of the use of the Remez algorithm in the proposed method will lead to the conversion of the integral equation to a system of algebraic equations and obtaining the best polynomial approximation for the solution of an integral equation. &nbsp;Also, the convergence analysis of the approach is discussed. Finally, some numerical examples and comparisons with previous results confirm the efficiency and high accuracy of the presented method.Comparative study and performance investigation of MANET routing protocols
https://ijnaa.semnan.ac.ir/article_6677.html
MANETs (Mobile Ad-Hoc Networks) are fast-developing networks that gaining popularity in the recent period. They play an important part in a variety of applications, and as a result, they got a lot of attention. Routing remains a challenging problem in a MANET since it lacks infrastructure due to its self-configuration nature in addition to the frequent changes in topology due to node mobility. The requirement in MANET routing protocols is to send and receive information among the nodes with the best route with lower delay. Routing protocols are responsible for the efficient delivery of messages between mobile nodes with a focus on the use of limited resources. This paper investigates a group of the most prominent routing protocols of MANET and compares their performance in regard to different parameters such as (end-to-end delay, throughput, average jitter, and routing overhead). The protocols' performance is evaluated under different operating conditions, such as the terrain size that reflect different node density for various terrain dimensions. The amount of data exchanged is varied also through varying the number of bit-rate connections for the same network size. Results of the developed scenarios for the investigated protocols with the considered parameters are collected with the aid of the QualNet v5.2 network simulator.Convergence analysis and approximation of fixed point of multivalued generalized $\alpha$-nonexpansive mapping in uniformly convex Banach space
https://ijnaa.semnan.ac.ir/article_6838.html
Recently, the authors introduce a four-step iterative algorithm called the UD-iteration scheme (Udofia and Igbokwe [35]). Here we introduce the multivalued version of the UD-iteration scheme and show that it can be used to approximate the fixed points of multivalued contraction and multivalued generalized $\alpha$-nonexpansive mappings. we prove strong and weak convergence of the iteration scheme to the fixed point of multivalued generalized $\alpha$-nonexpansive mapping. We also prove that the scheme is $\varUpsilon$-stable and Data dependent. Convergence analysis shows that the multivalued UD-iteration scheme has a faster rate of convergence for multivalued contraction and multivalued generalized $\alpha$-nonexpansive mappings than some well-known existing iteration schemes in the literature.A study on hyperbolic numbers with generalized Jacobsthal numbers components
https://ijnaa.semnan.ac.ir/article_6589.html
In this paper, we introduce the generalized hyperbolic Jacobsthal numbers. As special cases, we deal with hyperbolic Jacobsthal and hyperbolic Jacobsthal-Lucas numbers. We present Binet's formulas, generating functions and the summation formulas for these numbers. Moreover, we give Catalan's, Cassini's, d'Ocagne's, Gelin-Ces&agrave;ro's, Melham's identities and present matrices related with these sequences.An investigation of dynamic behavior of coupled steel plate shear walls using cross stiffener under uniform load
https://ijnaa.semnan.ac.ir/article_6839.html
In recent decades, the coupled Steel plate shear wall system is considered as an efficient lateral force resisting system by engineers and researchers. Different parameters affect the nonlinear behaviour of Coupled Steel plate shear wall system. Other models are produced according to the base model. After verifying the nonlinear behaviour of this system by cross stiffeners on the Coupled Steel plate shear wall, an increase in the thickness of the stiffeners and the thickness of the Coupled Steel plate shear wall have been evaluated. In this study, the effect of the parameters on the initial stiffness, ultimate strength, and energy absorption by the samples have been compared with each other and the base model. The cross stiffeners on the Coupled Steel plate shear wall have also increased the sample's initial stiffness, ultimate strength, and energy absorption. However, the use of stiffeners does not significantly affect the energy absorption by the samples. Stiffeners increase the sample's initial stiffness, ultimate strength, and energy absorption, which has little effect on the energy absorption by the sample.Continuity of homomorphisms on complete metrizable topological algebras
https://ijnaa.semnan.ac.ir/article_6593.html
Let $A$ be an $F$-algebra over the complex field. &nbsp;Let $B$ be an $F$-algebra such that the intersection of kernels of all continuous multiplicative linear functionals on $B$ is singleton zero. &nbsp;If any nonempty open subset of the collection $M(B)$ of all continuous multiplicative linear functionals in the Gelfand topology contains uncountably many functionals or if $B$ is a commutative Frechet algebra such that $M(B)$ has no isolated points, then any homomorphism from $A$ onto a dense finitely generated subalgebra of $B$ is continuous. &nbsp;This result has been proved in this article which is similar to a result derived by R.L. Carpenter.Solvability of infinite system of general order differential equations via generalized Meir-Keeler condensing operator and semi-analytic method
https://ijnaa.semnan.ac.ir/article_6840.html
In this article, a new fixed point theory and generalized condensing operator have been established to prove the existence of solutions for an infinite system of differential equations of $n^{th}$ order. Also, some interesting examples are employed to support the findings. To validate our discussion the solutions of the examples are approximated by an iterative algorithm with high accuracy. The algorithm is convergent and constructed based on the modified homotopy perturbation method.Monotone method for discrete fractional boundary value problems
https://ijnaa.semnan.ac.ir/article_6594.html
In this paper, by using the Schauder fixed point theorem, we obtain the existence of positive solutions for discrete fractional boundary value problem. Also, we establish upper and lower solution for this problem. Our results extend some recent works in the literature.Effects of client firm characteristics on auditor switching: A meta-analysis approach
https://ijnaa.semnan.ac.ir/article_6841.html
The aim of this study was to better understand the factors affecting auditor switching by emphasizing the features and characteristics of the client environment. In this study, a meta-analysis approach was used to investigate common predictors of auditor switching in order to determine whether previous research has provided a stable picture of audit switching determinants. The research method is meta-analysis using the CMA2 software. Egger's regression and Funnel plot were also used to assess the bias. By searching for articles published in high-quality international journals and reviewing 67 articles, the variables affecting auditor switching were extracted based on the firm characteristics, and considering their repetitions in other articles and their multiplicity, in this study only the variables with more than 4 repetitions were used. The results of this study showed that variables related to the firm characteristics, such as firm size, firm complexity, and discretionary accruals, lead to switching external auditors, but firm age and systematic risk have no impact on auditor switching. The results of this study provide useful insights into the influence direction and related factors for researchers seeking to model the factors affecting auditor switching. Thus, these variables can be chosen as control variables in research with more confidence and a comprehensive summary of the theoretical foundations of the relationship between these variables can be provided.Provision of a model for adoption $E$-banking technologies with emphasis on behavior of users
https://ijnaa.semnan.ac.ir/article_6273.html
This research was conducted with the objective of developing a model for the adoption of electronic banking technologies based on the behavior of users in Shahr (City) Bank. The research method is qualitative and performed utilizing the Delphi Method. First, data from research papers/literature and interviews were analyzed and coded using MAXQDA software and 76 components were obtained. The extracted components were grouped into four dimensions: sociological, psychological, demographic and technical services plus 10 indicators of culture and norms, social class, social pressure, demographics, quality of technical services, ease/simplicity of technical services, behavioral, emotional, perceptual and personality. In two stages, the Delphi group reached a consensus on 74 dimensions, indicators and components. The findings of the DEMATEL technique demonstrated that the sociological dimension has the greatest impact on other dimensions as far as the acceptance/adoption of the technology. Indicators such as personality, perception, emotions, behaviors, service quality and culture and norms all have the largest impact. Compliant with the findings, the research model was devised/designed.Approximating the matrix exponential, sine and cosine via the spectral method
https://ijnaa.semnan.ac.ir/article_6842.html
This article is arranged to introduce three different algorithms for computing the matrix exponential, cosine and sine functions $At$ for $0\leq t \leq b$, &nbsp;for all $b \in \mathbb{R^+}$. To achieve this purpose, we deal with the spectral method based on Bernstein polynomials. Bernstein polynomials are briefly introduced and utilized to approximate the functions. The operational matrix of integration of Bernstein polynomials is stated and employed to reduce the dynamic systems to the linear algebraic systems. It is required to solve $n$ &nbsp;linear algebraic systems for evaluating the matrix functions. By presenting the CPU time, it is displayed that the methods require a low amount of running time. Also, error analysis is discussed in detail. The outstanding point of this method is that the approximate exponential, cosine and sine matrix &nbsp;$At_0$, &nbsp;for all $t_0\in[0, L]$ &nbsp;can be obtained with only one execution of the algorithm. These three different algorithms have common parts that can be used to practically reduce the computational volume. Some examples are provided to show the high performance of the methods.On the differentiability of norms in Banach spaces
https://ijnaa.semnan.ac.ir/article_6598.html
The purpose of this paper is to show some particularities that the differentiability sets generated from the norms have in the Banach spaces. In this sense, it will be shown that the Gaussian measure of the Fr\'echet differentiability set of the norm of the space $\ell^{\infty}(\mathbb{R})$ of real bounded sequences is zero and that in the case of the space $BV[a,b]$ of bounded variation functions its norm is not Fr\'echet derivable in any element of this space.Some inequalities for the growth of rational functions with prescribed poles
https://ijnaa.semnan.ac.ir/article_6843.html
Let $\mathcal R_{n}$ be the set of all rational functions of the type $r(z) = f(z)/w(z)$, where $f(z)$ is a polynomial of degree at most $n$ and &nbsp;$w(z) = \prod_{j=1}^{n}(z-\beta_j)$, $|\beta_j|&gt;1$ for $1\leq j\leq n$. In this paper, we prove some results concerning the growth of rational functions with prescribed poles by involving some of the coefficients of polynomial $f(z)$. Our results not only improve the results of N. A. Rather et al. [8], but also give the extension of some recent results concerning the growth of polynomials by Kumar and Milovanovic [3] to the rational functions with prescribed poles and we obtain the analogous results for such rational functions with restricted zeros.The heuristic and metahuristic methods to minimize the total completion and total tardiness jobs times problem
https://ijnaa.semnan.ac.ir/article_6548.html
In this paper, we found some methods for solving one of the bicriteria machine scheduling problems (BMSP). Our discussed problem is represented by the total completion and the total tardiness jobs times $(1//(\sum C_j,\sum T_j))$ simultaneously. In order to solve the suggested BMSP, some new heuristic and metaheuristic methods are proposed which are produced good results. The results of the new suggested methods are compared with the exact method; like the complete enumeration method (CEM) and Branch and Bound (BAB) method, then compared results of the heuristics with each other's to obtain to the most efficient method.Risk psychology and decision-making behavior of traders (Prospect Theory test)
https://ijnaa.semnan.ac.ir/article_6844.html
Prospect Theory basically describes how people evaluate profits and losses. This theory indicates that a person makes a certain choice, but does not expect a definite result. The present study predicts the causal relationships between the constructs of prospect theory including risk attitude, subjective accounting and overconfidence, and decision-making behaviour of traders resulting from mass behaviour, cognitive, and emotional bias. The statistical population is active traders in the capital market within the country and a standard questionnaire was used to collect data. The relevant analyzes were performed based on the Lineal Structural Relations approach after performing the reliability and validity tests of the sample data. The test results of the hypotheses showed that the structures of prospect theory have a significant effect on the decision-making behaviour of traders.New results for the best proximity pair in cone Riesz space
https://ijnaa.semnan.ac.ir/article_6264.html
In this paper, the best proximity pair problem is considered with a cone metric. &nbsp;the conditions for the existence and uniqueness of the best proximity pair problem is discussed by using interesting relationships in Riesz spaces. This problem is studied for $T$-absolutely direct sets. Also, given the conditions considered for this problem, it is shown for the cone cyclic contraction maps, the best proximity pair problem is uniquely solvable.A novel algorithm to solve fixed points of various functions by the Bisection-Moth-Flame optimization algorithm
https://ijnaa.semnan.ac.ir/article_6846.html
The essential purpose of this paper is to obtain the fixed point of different functions by using a modern repetitive method. We incorporate concepts suggested in the Bisection method and the Moth-Flame Optimization algorithm. This algorithm is more impressive for finding fixed point functions. We also implement this method for four functions and finally compare the current method with other methods such as ALO, MVO, SSA, SCA algorithms. the proposed method shows a decent functionality than the other four methods.Dynamics of a system of higher order difference equations with a period-two coefficient
https://ijnaa.semnan.ac.ir/article_6599.html
The aim of this paper is to study the dynamics of the system of two rational difference equations:$$&nbsp;x_{n+1}=\alpha_{n}+\frac{y_{n-k}}{y_{n}},\quad y_{n+1}=\alpha_{n}+\frac{x_{n-k}}{x_{n}},\quad n=0, 1,\dots&nbsp;$$where \(\left\{\alpha_n\right\}_{n\geq0}\) is a two periodic sequence of nonnegative real numbers and the initial conditions \(x_{i}, y_{i}\) are arbitrary positive numbers for \(i=-k, -k+1, -k+2,\dots, 0\) and $k\in\mathbb{N}$. We investigate the boundedness character of positive solutions. In addition, we establish some sufficient conditions under which the local asymptotic stability and the global asymptotic stability are assured. Furthermore, we determine the rate of the convergence of the solutions. Some numerical are considered in order to confirm our theoretical results.Some results of domination on the discrete topological graph with its inverse
https://ijnaa.semnan.ac.ir/article_6849.html
Let $G_{\tau }=\left(V,\ E\right)$ be a topological graph which is a finite, simple, undirected, connected graph without isolated vertices. In this paper, several bounds and domination parameters are studied and applied to it: bi-domination, doubly connected bi-domination and pitchfork domination. The dominating set and domination number with its inverse for all these types are calculated. Also, some figures from the topological graph are introduced.Numerical investigation of the solitary and periodic waves in the nonlocal discrete Manakov system
https://ijnaa.semnan.ac.ir/article_6753.html
Solitary waves are interesting phenomena arising in various fields of physics, chemistry, and biology. Nonlinear continuous and discrete models supporting wave solutions of solitary behaviour have received increasing attention in recent years. Some examples of such integrable systems include Korteweg de-Vries (KdV) equation, the nonlinear Schr&ouml;dinger (NLS) equation, and the Manakov system (MS). In this paper, we propose a discrete nonlocal version of the nonlinear Manakov system which admits spatial and temporal PT-symmetry. PT-symmetry property gives relevance to various fields in physics and has received a lot of attention in the studies of integrable nonlinear equations. In this work, the time evolution of solitary and periodic wave solutions in the proposed system has been numerically investigated. Suitable initial conditions have been considered to construct bright and dark solitons. The variational iteration method (VIM) was used to simulate the solution of the system. The error measurement of the simulation demonstrates the efficiency of the numerical method in constructing the different types of wave solutions.Growth of solutions to complex linear differential equations in which the coefficients are analytic functions except at a finite singular point
https://ijnaa.semnan.ac.ir/article_6850.html
In this paper, we study the growth of solutions to complex higher order linear differential equations, where the coefficients are analytic in the closed complex plane except at a finite singular point. We obtain some results on the [p,q]-order and on the lower [p,q]-order which improve and extend those of Long and Zeng.On the food chain model with prey refuge and fear effect
https://ijnaa.semnan.ac.ir/article_6605.html
Of concern the present study deals with an updated food chain model in a natural environment with the inclusion of fear effect in the prey population through Holling type II functional response in presence of prey refuge effect. The present model is affluent with intra-specific competition among the hunter species having specific mortality. The model system emphasizes its characteristics in the proximity of the probable equilibrium position in the realm of biological dynamics. The response of the system is explored further for its stability analysis based on prerequisites and Hopf-bifurcation phenomena as well with respect to some significant model parameters. Extensive numerical simulation reveals the validity of the proposed model so as to indicate the ecological implications.Quantum algorithms for solving data envelopment analysis models
https://ijnaa.semnan.ac.ir/article_6852.html
In traditional optimization models, classical computers have been used to solve mathematical linear or non-linear models. In addition, by data envelopment analysis (DEA) models one can evaluate the relative efficiency of the decision-making units originally in the form of mathematical non-linear models. In this paper, a new attitude is presented in which quantum computers and quantum algorithms can be used to solve DEA models by two different methods. This suggested attitude is worthy to mention as this subject is new and will attract researchers to discuss and improve it.New classes of certain analytic functions
https://ijnaa.semnan.ac.ir/article_6607.html
Considering a function $f(z)$ which is the extremal function for $p-$valently starlike of order $\alpha$ in the open unit disk, two new classes $S_p^*(m,\alpha)$ and $K_p(m,\alpha)$ are introduced. The object of the present paper is to discuss some interesting problems of functions $f(z)$ concerned with $S_p^*(m,\alpha)$ and $K_p(m,\alpha).$The effect of FRP characteristics on the behavior of square columns under eccentric loads
https://ijnaa.semnan.ac.ir/article_6853.html
Modelling the stress-strain relationship of FRP confined concrete is of vital importance in predicting the structural behaviour of confined concrete columns. In recent years the axial stress-strain behaviour of confined concrete under concentric loading is well established, but the behaviour under eccentric loading when axial and bending loads are combined is not well understood. Adding FRP materials to upgrade deficiencies of structural components can save lives by preventing collapse, reducing the damage, and the need for their costly replacement. The retrofit with FRP materials with desirable properties provides an excellent replacement for traditional materials, such as steel jackets, to strengthen the reinforced concrete. Existing studies have shown that the use of FRP materials restores or improves the column's original design strength for possible axial, shear, or flexure and in some cases allows the structure to carry more load than it was designed for. This paper summarizes the results of a research program to study the fundamental stress-strain behaviour of concrete confined by various types of fibre-reinforced polymer (FRP) composite jackets. By using three different types of FRP sheets with different mechanical characteristics, it can be concluded that the e/d ratio in all cases has the most effect on the square column behaviour.System of bipolar max-drastic product fuzzy relation equations with a drastic negation
https://ijnaa.semnan.ac.ir/article_6263.html
This paper investigates the consistency of bipolar max-$ T_{D} $ Fuzzy Relation Equations (FREs) where $ T_{D} $ is the drastic product with a specific drastic negation operator. We firstly study the bipolar max-$ T_{D} $ fuzzy relation equation. Then the special characterizations of its feasible domain and its maximal and minimal solutions are presented. Furthermore, some necessary conditions and sufficient conditions are proposed for the solvability of a system of bipolar max-$ T_D $ FREs. Some examples are also given to illustrate them.Generalized Euler-Lagrange (m,n)-cubic functional equation and its stability
https://ijnaa.semnan.ac.ir/article_6854.html
In this article, we introduce a new generalized Euler-Lagrange $(m,n)$-cubic functional equation with its general solution. Also, we investigate its various stabilities related to the Ulam problem in fuzzy normed linear spaces using Felbin's concept. Also, we provide a counter-example for the non-existence of stability of a generalized Euler-Lagrange $(m,n)$-cubic functional equation.Solution and stability of a fixed point problem for mappings without continuity
https://ijnaa.semnan.ac.ir/article_6614.html
In this paper by taking into account three trends prevalent in metric fixed point theory, namely, use of control functions instead of contraction constants, consideration of relational structure in the metric space and fixed point studies of discontinuous functions, we formulate and solve a new problem in relational metric fixed point theory. Our result extends the well known result of Kannan. The theorems are illustrated with examples. Further the proble is shown to have Hyers-Ulam-Rassias stability property. We make an application of our main result to a problem of a nonlinear integral equation.Rock facies classification and its effect on the estimation of original oil in place based on petrophysical properties data
https://ijnaa.semnan.ac.ir/article_6855.html
The most significant function in oil exploration is determining the reservoir facies, which are based mostly on the primary features of rocks. Porosity, water saturation, and shale volume as well as sonic log and Bulk density are the types of input data utilized in Interactive Petrophysics software to compute rock facies. These data are used to create 15 clusters and four groups of rock facies. Furthermore, the accurate matching between core and well-log data is established by the neural network technique. In the current study, to evaluate the applicability of the cluster analysis approach, the result of rock facies from 29 wells derived from cluster analysis were utilized to redistribute the petrophysical properties for six units of Mishrif Formation; MA, MB11, MB12, MB21, MC1, and MC2. The precise facies modelling is constructed by using Petrel software while applying different appropriate scale-up methods. Consequently, the petrophysical properties such as porosity, water saturation and permeability are distributed within each unit depending on facies modelling. The Net to a gross parameter which has a significant impact on determining original oil in place (OIIP) also calculated and distributed using facies modelling. The facies modelling is performed to obtain an accurate estimation of OIIP. Finally, the results of the facies investigation have a significant effect on petrophysical properties and therefore affect the estimation of OIIP by 2\% for the whole Mishrif Formation.Time series forecast modeling for the Windows operating system performance using Box-Jenkins and LSTM models
https://ijnaa.semnan.ac.ir/article_6748.html
Performance issues such as system resources leaking, application hang, and Software Aging (SA) can affect the system's reliability and minimize user experiences. Therefore, these issues need to be analyzed and forecasted to prevent incoming issues. Finding the root cause and analyzing the internal behaviors become troublesome due to the complexity of modern systems such as the Microsoft Windows Operating System OS. Microsoft builds multiple tools and platforms such as the Performance Monitor (PerfMon.exe) tool and Performance Counter for Windows (PCW) platform to monitor the activities inside Windows OS. This paper aims to use Windows OS tools for simulating performance issues in an experiment, data collection, and log format converting. In contrast to other works, the deep learning Long Short-Term Memory (LSTM) method and the Auto-regressive Integrated Moving Average (ARIMA) model were generated and compared. The best model that provides the lowest error rate of the prediction simulated performance issue was selected. The results declare the preference of using the ARIMA model with order (2,1,1) that provides the observed lowest error rate for both MAE and RMSE compared with other values in previous lags. And the observed LSTM has an error rate of 4.796, whereas the ARIMA model has an error rate of 0.0119. From those results, we can confirm of using the ARIMA model with its selected parameters can predict the small jump fluctuations behavior observed from the memory metric.Identifying and analyzing open innovation strategies and providing a relative model in small and medium-sized manufacturing enterprises using fuzzy cognitive mapping (FCM) technique
https://ijnaa.semnan.ac.ir/article_6856.html
Today, globalization, the growth of technological complexity and environmental changes have encouraged the organization to change their attitude from closed innovation to open innovation and prioritize open innovation as a developing approach to gain competitive advantage. This study identifies and analyzes open innovation strategies and provides a model for that in small and medium-sized manufacturing enterprises. This research is practical in terms of purpose and descriptive survey in data collection and mixed in the method. First, effective factors were identified according to the literature review and confirmed by 15 experts in the field of innovation. Then, a matrix questionnaire was prepared and given to 83 experts of small and medium-sized manufacturing enterprises in Yazd city in Iran. Data analysis was done using Fuzzy Cognitive Mapping (FCM) techniques, and the final model was depicted using social networks. The findings related to analyzing data obtained from the experts' opinions indicate that the strategies of external relationships, internal relationships, support infrastructure systems, and technology absorption are more central than other ones because the effectiveness and susceptibility of these strategies are more than other factors. Thus, these strategies should be more emphasized.Common fixed point theorems under the $(CLR_g)$ property with applications
https://ijnaa.semnan.ac.ir/article_6615.html
In this paper, we study some new common fixed point theorems for a pair of weakly compatible mappings satisfying the (CLRg) property in modular metric spaces. We also generalize and improve several results available from the existing literature. As applications of our results, we also provide some applications on the existence and uniqueness of the solution to integral type contraction and Volterra type integral equations.User recommendation system based on MIND dataset
https://ijnaa.semnan.ac.ir/article_6857.html
Nowadays, it's a very significant way for researchers and other individuals to achieve their interests because it provides short solutions to satisfy their demands. Because there are so many pieces of information on the internet, news recommendation systems allow us to filter content and deliver it to the user in proportion to his desires and interests. RSs have three techniques: content-based filtering, collaborative filtering, and hybrid filtering. We will use the MIND dataset with our system, which was collected in 2019, the big challenge in this dataset because there is a lot of ambiguity and complex text processing. In this paper, will present our proposed recommendation system. The core of our system we have used the GloVe algorithm for word embeddings and representation. Besides, the Multi-head Attention Layer calculates the attention of words, to generate a list of recommended news. Finally, we achieve good results more than some other related works in AUC 71.211, MRR 35.72, nDCG@5 38.05, and nDCG@10 44.45.New subclasses of bi-univalent functions associated with $q-$ calculus operator
https://ijnaa.semnan.ac.ir/article_6618.html
In the present paper, &nbsp;new subclasses of bi-univalent functions associated with $q-$calculus operator are introduced and coefficient estimates for functions in these classes are obtained. Several new (or known) consequences of the results are also pointed out.On the common zero of a finite family of monotone operators in Hadamard spaces and its applications
https://ijnaa.semnan.ac.ir/article_6858.html
&lrm;In this paper&lrm;, &lrm;&lrm;a common zero of a finite family of monotone operators on Hadamard spaces is&lrm;&lrm; approximated via Mann-type proximal point algorithm. Some applications in convex minimization and fixed point theory are also presented.Investigation of the effect of interactive and diagnostic approach on the selection of new management accounting activities and prioritization of techniques appropriate for public companies by ISM method
https://ijnaa.semnan.ac.ir/article_6262.html
The main purpose of this study is to investigate the effect of interactive and diagnostic approaches in the use of management control systems on the acceptance of new management accounting activities. This study also aims to determine the most appropriate modern management accounting techniques in public companies of Iran. The statistical population of the research, in the qualitative part, includes experts, and in the quantitative part includes financial managers and heads of industrial accounting in Iranian public companies. The snowball method based on the views of 15 experts is used in the qualitative section. 384 financial managers and heads of industrial accounting are selected based on Morgan's table in the quantitative section. In this study, the field method, with the help of library studies and interviews, is used to collect data and determine indices. In the quantitative part, data were collected using specialized questionnaires. After data collection, the hybrid method was used to combine the results of systematic review studies and interviews. Interpretive Structural Model (ISM) was used to determine the appropriateness and importance of the study activities. Qualitative content analysis was performed using MAXQDA software. Structural equation modeling with the technique of partial least squares (PLS) was also used to test hypotheses. The results of hypothesis testing showed that the difference between interactive and diagnostic approaches affects the application of management control systems, selection of new management accounting techniques and public companies, and a crucial role in the success of these techniques in public companies.Transient thermoelastic bending analysis of a rectangular plate with a simply supported edge under heat source: Green's function approach
https://ijnaa.semnan.ac.ir/article_6859.html
The aim of the current research is to analyze the transient thermoelastic bending analysis of a rectangular plate with a simply supported edge under the heat source. &nbsp;Initially, the plate is kept at a constant temperature. For $t &gt; 0$, the heat is produced in the plate at the rate $g (W.m^{-3})$ and the surfaces at $x = 0, a$ and $y = 0, &nbsp;b$ are kept at zero temperature, while the surfaces $z = 0, c$ are subjected to heat convection. Using Green&rsquo;s function approach and integral transform technique, the analytical solution of the rectangular plate with the simply supported edge is derived. As a preeminent finding from this investigation, it can be deduced that the accuracy, &nbsp;reliability, and simplicity of these methods are excellent. Accurate bending solutions to title problems are then obtained using the transform technique. The approach used in this paper is more reasonable than conventional methods. Numerical results are presented to demonstrate the validity and efficiency of the approach as compared with those reported in other literature. The outcomes demonstrate that the temperature profile and the thermal deflection are maximum at the middle part of the plate, due to the heat source located in the middle, however, the direction of heat flow and the body deformation is the same.Fractional variational iteration method for solving two-dimensional Stefan problem with fractional order derivative
https://ijnaa.semnan.ac.ir/article_6561.html
In this paper, we present a mathematical model of Stefan problem, this model is ice melting problem where the interface of solid/liquid moves along the y-axis, which is including time fractional derivative in Jumarie sense. The obtained solution of this problem is an approximate solution using fractional variational iteration method. &nbsp;Graphically the results will be compared with an exact solution to the integer order derivatives.Developing a model based on the relationship between the effectiveness of the budgeting system and the value-based performance evaluation indices in the Saderat Bank of Iran
https://ijnaa.semnan.ac.ir/article_6860.html
According to financial management theories, there are different measures for assessing the financial performance of business units, and banks are not excluded from this rule. This research seeks to develop a model based on the relationship between the efficiency of the budgeting system and the indices of value-based performance assessment in Iran's Saderat Bank. A questionnaire was used for this purpose. The statistical population of this research is the employees of SADERAT BANK, Kermanshah Province, which is 490 people. The sample size was 216 people based on the random sampling method and with the help of the Kookran limited community formula. Then by statistical tests, using SPSS and AMOS software, information about respondents including 216 questionnaires completed by employees of SADERAT BANK of Kermanshah province revealed that the efficiency of the budgeting system and the indices of value-based performance assessment with correlation coefficient Positive and meaningful. Other research findings show a positive and significant relationship between the value-added of human resources, economic value-added, market value-added, cash value-added and economic value-added. According to the research results, proper management of the costs and capital employed could improve economic value added.On the comparative growth analysis of solutions of complex linear differential equations with entire and meromorphic coefficients of $\left[ p,q\right] -\varphi $ order
https://ijnaa.semnan.ac.ir/article_6622.html
Let $\varphi $ be a non-decreasing unbounded function and $p,q$ be any two positive integers with $p\geq q\geq 1.$ The relations between the growth of entire or meromorphic coefficients and the growth of entire or meromorphic solutions of general complex linear differential equation with entire or meromorphic coefficients of finite $\left[ p,q\right] $-$\varphi $ order are investigated in this paper. Improving and extending some earlier results of J. Liu, J. Tu, L.Z. Shi, L.M. Li, T.B. Cao and others, we obtain some more results here.Slowly oscillating functions on semitopological semigroup
https://ijnaa.semnan.ac.ir/article_6861.html
The slowly oscillating functions have been used by I. V. Protasov to study of the algebraic structure of the Stone-$\check{C}$esh compactification. M. Filali and P. Salmi developed the concept of slowly oscillating functions to arbitrary locally compact topological groups. In this paper, we study the structure of $Lmc$-compactification of a semitopological semigroup by the slowly oscillating functions. In fact, we develop the concept of slowly oscillating functions to semitopological semigroups.Some Pareto optimality results for nonsmooth multiobjective optimization problems with equilibrium constraints
https://ijnaa.semnan.ac.ir/article_6259.html
In this paper, we study the nonsmooth multiobjective optimization problems with equilibrium constraints (MOMPEC). First, we extend the Guignard constraint qualification for MOMPEC, and then more constraint qualifications are developed. Also, the relationships between them are investigated. Moreover, we introduce the notion of primal Pareto stationarity and some dual Pareto stationarity concepts for a feasible point of MOMPEC. Some necessary optimality conditions are derived for any Pareto optimality solution of MOMPEC under weak assumptions. Indeed, we just need the objective functions to be locally Lipschitz. Further, we indicate our defined Pareto stationarity concepts are also sufficient conditions under the generalized convexity requirements.Detecting the rate of growing electrical energy loads using SCADA
https://ijnaa.semnan.ac.ir/article_6862.html
In this research, models of electrical loads were developed after transferring the data of the substations by using the SCADA system and calculating the electrical loads accurately for a period of 24 months taking into consideration the high and low weather temperatures in Babil Governorate in 2016 and 2020 and indicating the amount of growing loads Electricians and finding ways to handle control or reduce the value of this growth, especially since the poor consumption of electric energy causes great financial losses in light of the economic crisis that rocked the world countries.Sakaguchi type function defined by $(\mathfrak{p},\mathfrak{q})$-Derivative operator using Gegenbauer polynomials
https://ijnaa.semnan.ac.ir/article_6627.html
An introduction of a new subclass of bi-univalent functions involving Sakaguchi type functions defined by $(\mathfrak{ p},\mathfrak{q})$-Derivative operators using Gegenbauer polynomials have been obtained. Further, the bounds for initial coefficients $ |a_{2}|$, $| a_{3}| $ and Fekete Szeg\"{o} inequality &nbsp;have been estimated.Fixed point results for fuzzy mappings in F-metric spaces
https://ijnaa.semnan.ac.ir/article_6863.html
In the present research, we state and prove a common fixed point theorem for fuzzy mappings that satisfy the contractive condition in $\mathfrak{F}$-metric spaces. An example of a fixed point result is presented.Machine learning algorithms for constructions cost prediction: A systematic review
https://ijnaa.semnan.ac.ir/article_6693.html
Machine learning plays a vital role in construction estimation which could make improve the project's safety, and reliability. Many studies have been proposed to explore the potential opportunities to review this technology in the construction cost in structure and transport fields. However, no comprehensive study to review the global research trends on this area's advancement in construction cost. The goal is to taxonomy, review, and summarize the state-of-the-art knowledge body on this topic in a systematic manner based on machine learning (ML) and deep learning (DL) approaches. To achieve this, this paper considered many studies in construction management related to bibliographic records retrieved from the Scopus database by adopting a quantitative analysis approach. This paper found that from 2017 to 2021, there has been a considerable increase in the number of publications in this domain. We categorized and explained civil projects into structures and transport cost, ML/DL as supervised and unsupervised approaches, and the evaluation metrics proposed to evaluate the performance of ML-Cost estimations in the civil area. The findings will help both professionals and researchers to understand and evolve the recent trend research ML/DL methodologies and their role played in the construction management domain.Examining the evolutionary process and the components affecting the improvement of customers' online shopping experience in e-commerce startups
https://ijnaa.semnan.ac.ir/article_6865.html
Given the role and importance of the customer in online shopping, addressing the customer experience in order to improve online shopping in electronic startups in the field of health, safety, and environment is important, so this study aims to identify and evaluate factors to improve online shopping. Based on customer experience in electronic startups in the field of health, safety, and environment. This research is applied research in terms of purpose and is a descriptive survey in terms of data collection. The method of data collection in this study was a questionnaire. The results showed that these dimensions have a positive effect on improving online shopping based on the customer's empirical process and encourage customers to repurchase. Utilizing the introduced model helps e-startups to identify these dimensions and increase the performance of their startups by eliminating their weaknesses and strengths in the relevant field, and also while retaining current customers, and more users by purchasing Attract online.Existence of solutions for time fractional order diffusion equations on weighted graphs
https://ijnaa.semnan.ac.ir/article_6635.html
We generalize the concept of diffusion equations on weighted graphs, which is also known as $\omega$-diffusion equations, to study fractional order diffusion equations on weighted graphs. More precisely, we replace the ordinary first order derivative in time by a fractional derivative of order $\alpha$ in the sense of Riemann-Liouville and Caputo fractional derivatives. We prove the existence of solutions of fractional order diffusion equations on graphs using the concept of $\alpha$-exponential matrix and illustrate the solutions through numerical simulation in various examples.A new way to obtain fixed point functions using the grey wolf optimizer algorithm
https://ijnaa.semnan.ac.ir/article_6864.html
In this paper, we introduce a new iterative method for finding the fixed point of a nonlinear function. In fact, we want to offer a new way to obtain the fixed point of various functions using the Grey Wolf Optimizer algorithm. This method is new and very efficient for solving a nonlinear equation. We explain this method with three benchmark functions and compare results with other methods, such as ALO, MVO, MFO and SCA.A machine learning approach for solving inverse Stefan problem
https://ijnaa.semnan.ac.ir/article_6252.html
In this paper, we propose a numerical scheme by using Least Squares Support Vector Regression (LS-SVR) for the simulation of the inverse Stefan problem, which has ill-posedness issues. The purpose of this paper is to express the temperature distribution in a homogeneous environment with a phase change. In the proposed machine learning approach, we apply the unconditionally stable Crank-Nicolson method to decrease the computational cost and reduce one of the dimensions. Therefore, we solve an ODE equation at each time step. The training points of the network are chosen as the Chebyshev roots, which have a normal distribution, and our constructed roots, which we describe more precisely later. In the proposed method, the regularization parameter of the SVM aims to overcome the instability issues, leading to convergent approximation. For the given method, both the primal and dual forms are investigated. The dual form of the problem is written in matrix form. Finally, some numerical examples are provided to illustrate the effectiveness and accuracy of the proposed method.Brain tumors classification based on segmentation techniques and wavelet transform
https://ijnaa.semnan.ac.ir/article_6612.html
This paper aims to provide better approaches for segmenting and classifying brain tumours using Magnetic Resonance images (MRI). In this paper, the wavelet features are formed by the transformation of probability density function (PDF) to spectrogram images using Continuous Wavelet Transform (2D-CWT), which is a simple method for extracting features, whereas the Feature extraction methods (PDF and 2D-CWT) are improving the performance. In addition, a morphological operation for segmenting images and a convolutional neural network (CNN) are utilized as a classifier in order to increase the segmentation performance. On the BraTS2019 dataset, the method's performance is assessed in terms of F1-score and tumor region segmentation accuracy. This achieved the greatest results, with accuracy and F1-score of 97.37 \% and 97.43 \%, respectively.Inertial residual algorithm for fixed points of finite family of strictly pseudocontractive mappings in Banach spaces
https://ijnaa.semnan.ac.ir/article_6639.html
In this paper, we introduce a new iteration method called inertial residual algorithm for finding a common fixed point of finite family of strictly pseudocontractive mappings in a real uniformly smooth Banach spaces. We also establish weak and strong convergence theorems for the scheme. Finally, we give numerical experiment to explain the proposed method. Our results generalize and improve many recent results in the literature.Global existence and decay estimates for the semilinear heat equation with memory in $\mathbb{R}^{n}$
https://ijnaa.semnan.ac.ir/article_6641.html
In this paper, we study the initial value problem for a semi-linear heat equation with memory in $n$-dimensional space $\mathbb{R}^{n}$. Under a smallness conditions on the initial data, the global existence and decay estimates of the solutions are established. Furthermore, time decay estimates in higher Sobolev space of the solution are provided. The proof is carried out by means of the point-wise decay estimates of the solution in the Fourier space and a fixed point-contraction mapping argument.Multikernel optimized beam forming using sparse representation for non-uniform linear array
https://ijnaa.semnan.ac.ir/article_6559.html
Recent developments in Basis pursuit solver algorithm have led to better beam forming techniques. Sparse representation of signal helps in better signal analysis. This paper examines how to compute the direction of arrival of non-uniform linear array using sparse computation. A comparison between traditional techniques and sparse representation to estimate the direction of arrival is also studied. A novel method is proposed based on basis pursuit denoising multichannel implementation (BPDN) to estimate the Direction of arrival. Simulation results are verified with the formulation developed for direction of arrival.On optimization problems of the difference of non-negative valued affine IR functions and their dual problems
https://ijnaa.semnan.ac.ir/article_6246.html
The aim of this paper is to present dual optimality conditions for the difference of two non-negative valued affine increasing and radiant (IR) functions. We first give a characterization of dual optimality conditions for the difference of two non-negative valued increasing and radiant (IR) functions. Our approach is based on the Toland-Singer formula.Wavelet frames associated with linear canonical transform on spectrum
https://ijnaa.semnan.ac.ir/article_6643.html
The linear canonical transform (LCT) provides a unified treatment of the generalized Fourier transforms in the sense that it is an embodiment of several well-known integral transforms including the Fourier transform, fractional Fourier transform, Fresnel transform. Using this fascinating property of LCT, we in this paper construct associated wavelet frames. To be precise we introduce wavelet frames whose construction depends on the nonuniform multiresolution analysis associated with linear canonical transform(LCT-NUMRA) whose translation set is not necessarily a group. The translation set is taken for elements in &nbsp;$\Lambda=\left\{ 0,r/N\right\}+2\,\mathbb Z,\mathbb N\ge 1$ (an integer) and r is an odd integer with $1\le r\le 2N-1$ such that r and N are relatively prime and ${\mathbb Z}$ is the set of all integers. Furthermore, we establish a necessary and sufficient conditions for such nonuniform wavelet frames associated with linear canonical transform.Fully automated human finger vein binary pattern extraction-based double optimization stages of unsupervised learning approach
https://ijnaa.semnan.ac.ir/article_6625.html
Today, finger vein identification is gaining popularity as a potential biometric identification framework solution. Machine learning-based unsupervised supervised, and deep learning algorithms have had a significant influence on finger vein detection and recognition at the moment. Deep learning, on the other hand, necessitates a large number of training datasets that must be manually produced and labelled. In this research, we offer a completely automated unsupervised learning strategy for training dataset creation. Our method is intended to extract and build a decent binary mask training dataset completely automatically. In this technique, two optimization steps are devised and employed. The initial stage of optimization is to create a completely automated unsupervised image clustering based on finger vein image localization. In the second optimization, the retrieved finger vein lines are optimized. Lastly, the proposed system has a pattern extraction accuracy of 99.6\%, which is much higher than other common unsupervised learning methods like k-means and Fuzzy C-Means (FCM).Common fixed point theorems under implicit contractive condition using E. A. property on metric-like spaces employing an arbitrary binary relation with some application
https://ijnaa.semnan.ac.ir/article_6645.html
In this paper, parallel to the ideas based on Ahmadullah et al. [3, 4, 5], and Eke et al. [17], we prove the existence and uniqueness of the common fixed point for a pair of self-mappings employing (E. A.)-property in metric-like spaces for implicit contractive mappings related to binary relation. Henceforth, results obtained will be verified with the help of illustrative examples. As an application of the results, we solve two boundary value problems of the second-order differential equation.A monotone hybrid algorithm for a family of generalized nonexpansive mappings in Banach spaces
https://ijnaa.semnan.ac.ir/article_6244.html
In this paper, we propose a new monotone hybrid method for getting a common fixed point of a family of generalized nonexpansive mappings and prove a &nbsp;strong convergence theorem for this family in the framework of Banach spaces. Using this theorem, we obtain some new results for the class of generalized nonexpansive mappings and finitely many generalized nonexpansive mappings. Using the FMINCON optimization toolbox in MATLAB, we give a numerical example to illustrate the usability of our results.Note on the Ψ-asymptotic relationships between Ψ-bounded solutions of two Lyapunov matrix differential equations
https://ijnaa.semnan.ac.ir/article_6661.html
There are proved existence results for &Psi;-asymptotic relationships between &Psi;-bounded solutions of two Lyapunov matrix differential equations.Vibration analysis of an nth order shear deformation nanoplate using the modified couple stress theory
https://ijnaa.semnan.ac.ir/article_6243.html
This paper attempts to study the vibration characteristics of a simply supported nth order rectangular nanoplate using the modified couple stress theory. The modified couple stress theory, which has only one length scale parameter, has been used to consider the small-scale effects. The basic and auxiliary equations of the nanoplate are obtained after determining the strain energy, kinetic energy, and external work and substituting them into Hamilton&rsquo;s equation. Then, the vibrations of the simply supported nth order rectangular nanoplate with a thickness of h are investigated by substituting the boundary and force conditions into the governing equations. Navier&rsquo;s method is used for the solution. The results indicate that the frequencies of the different modes of the nth order nanoplate decrease with an increase in the length-to-thickness ratio of the nanoplate. Furthermore, the frequency is the smallest when the effect of the size parameter is not considered (classical theory), and it increases with an increase in the size effect. In addition, the frequency is smallest for the first mode and increases for the subsequent modes. Also, the vibrational frequency increases with an increase in the order of the nanoplate.Introducing $n$-sequences and study of their topological properties
https://ijnaa.semnan.ac.ir/article_6668.html
In this article, the concept of $n$-sequences in topological spaces has been introduced which is new to the existing literature. We study the sequential limit aspect of statistical convergence for such sequences. Besides, the notions of subsequences, limit points, statistical limits points, and statistical cluster points in topological spaces have been given for $n$-sequences. This material contains a detailed explanation of inclusion relations between these points spaces and their basic properties. We also introduce $s_{n}$ and $s_{n}^{*}$-convergent spaces and discuss some of their properties.Cofinitely $\bigoplus D_j$-supplemented modules
https://ijnaa.semnan.ac.ir/article_6566.html
For any $R$-module $W,\ D_j(W)$ presented as the total of all $J$-small sub-modules. If $A$ and $B$ are sub-module of $W$, we say $A$ is $\bigoplus \ D_j$'supplement of $B$ in $W$ if $W=A+B=A\bigoplus \acute{A}$, for $\acute{A}\underline{\hookrightarrow}W$, and $A\bigcap B\ll_j D_j(A)$. If every sub-module has $\bigoplus \ D_j$-supplemented, then $W$ is $\bigoplus \ D_j$-supplemented $A$ sub-module $A$ of $W$. If a sentence is conclusive, it is said to be cofinite i.e., $\frac{W}{A}$ is finitely generated. Also we introduce cofinite $\bigoplus \ D_j$-supplemented if every cofinite sub-module of $W$ has $\bigoplus \ D_j$-supplemented.Identifying and ranking financial market risks in Iran
https://ijnaa.semnan.ac.ir/article_6646.html
Fluctuations in asset prices and the resulting uncertainty are one of the most important macroeconomic variables that affect different sectors of the economy in various ways. Therefore, this study is conducted to identify and rank financial market risks in Iran. This study was performed in two parts: qualitative and quantitative. The statistical population in the qualitative section includes the University of Professors in the field of economics in Iran, where $10$ people were selected as a statistical sample by available sampling. The statistical population in the quantitative section were professors and doctoral students in the field of economics. By random sampling method, $30$ people were selected. Data collection tools are the Delphi questionnaire and pairwise comparison questionnaire. Data analysis was performed by fuzzy Delphi and AHP methods. In the results of the qualitative section, 7 components including $4$ components for bad economic uncertainty and $3$ components for good economic uncertainty were identified. In the results of the quantitative section, stock index uncertainty with a weight of $0.391$ and inflation uncertainty with a weight of $0.276$ rank first and second in bad economic uncertainty. Also, economic growth uncertainty with a weight of $0.493$ and liberalization of financial markets with a weight of $0.311$ rank first and second in good economic uncertainty, respectively.New Lacunary sequence spaces defined by fractional difference operator
https://ijnaa.semnan.ac.ir/article_6672.html
In the present paper, we introduce new lacunary strong convergent vector-valued sequence spaces defined by fractional difference operator and Musielak-Orlicz function. We make an effort to study some topological properties and also prove some inclusion relations between these spaces.The effects of firm and decision-makers characteristics on the banking and export activities of small and medium companies
https://ijnaa.semnan.ac.ir/article_6236.html
The problems of a single product economy and reliance on oil revenues have affected an economy affected by foreign factors, especially the unstable oil revenues. Considering this characteristic of the Iranian economy, the importance and role of non-oil exports can be perceived. Studies on the developed countries indicated that all their economic and product developments have been due to small and medium enterprises. These industries play an effective role in the economic development of the countries through their significant exports. In addition, the intensification of global competition increased uncertainty, and the growing demand for diverse products have made these industries more popular. The current study aimed to investigate the effects of the firm characteristics and decision-makers on the banking and export activities of small and medium companies. It is an applied study in terms of the objective and a descriptive study in terms of method. The statistical population of the current study has been defined in two phases of the experts and authorities. The data were collected by interview and questionnaire in two stages. The Grand Theory method and the second phase, the structural equation model, have been used to analyze the information in the first phase. The results indicated that the management ability, management experience, management commitment, firm size, company financial capacity, company technological capacity, company knowledge capacity, scientific management capacity, purposeful management actions, company innovation capacity, and finally, human resource capacity are among the corporate management factors effective on the banking and export activities of the small and medium companies.An optimum single bounded inner energy level estimation using generalized Petersen graph and sampling method with imputation
https://ijnaa.semnan.ac.ir/article_6676.html
Assume a large microscopic internal bonding chemical structure of a substance designed like a Petersen graph where electrons are the vertices and edges representing the bonding energy levels in between them. For large structures, it is difficult to find out the average level of bonding energy between any pair of electron-proton microscopic structures. For a chemical scientist, it is a difficulty and a challenge both to find out what is the average amount of energy bounded between any subsequent pair of electron-proton bi-valent bond, trivalent bond, or tetravalent bond. This paper presents a sample-based estimation methodology for estimating the bonding energy mean value. A node-sampling procedure is proposed whose bias, mean-squared errors and other properties are derived. Results are supported by empirical studies. Findings are compared with particular cases and confidence intervals are used as a basic tool of comparison for robustness purposes.Weak Galerkin finite element method for the nonlinear Schrodinger equation
https://ijnaa.semnan.ac.ir/article_6617.html
The numerical technique for a two-dimensional time-dependent nonlinear Schrodinger equation is the subject of this work. The approximations are produced using the weak Galerkin finite element technique with semi-discrete and fully discrete finite element methods, respectively, using the backward Euler method and the crank-Nicolson method in time. Using the elliptic projection operator, we provide optimum $L^{2}$ error estimates for semi and fully discrete weak Galerkin finite elements. Finally, we present numerical examples provided to verify our theoretical results.Janowski-type mappings associated with the conic shaped domain
https://ijnaa.semnan.ac.ir/article_6685.html
In geometry, a conic is a plane curve whose coordinates satisfy a quadratic equation in two variables and can be expressed in matrix form. This equation allows deducing and expressing geometric properties of conic sections. In this article, we define certain subclasses $\mathcal{U}_{k}\mathcal{S} (\lambda,\gamma,\tau,\rho)$ and&nbsp; $\mathcal{U}_{k}^{\Im}\mathcal{S}(\lambda,\gamma,\tau,\rho)$ of holomorphic mappings associated with the Janowski-type mappings. These functions are actually generalizations of some basic families of starlike and convex mappings. We study sufficient conditions for $f\in \mathcal{U}_{k}\mathcal{S}(\lambda,\gamma,\tau,\rho)$ along with the characterization, coefficient bounds and other problems. Using certain conditions for functions in the class $\mathcal{U}_{k}\mathcal{S}(\lambda,\gamma,\varrho,\mathbb{\sigma}),$ we also define another class and study some subordination related result.Periodic solutions for a class of perturbed fifth-order autonomous differential equations via averaging theory
https://ijnaa.semnan.ac.ir/article_6698.html
In this work, we use the averaging theory of first order to study the periodic solutions of the perturbed fifth-order autonomous differential equation\begin{equation*}x^{(5)}- \lambda \ddddot{x}+(p^{2}+1) \dddot{x}-\lambda(p^{2}+1)\ddot{x}+p^{2}\dot{x}-\lambda p^{2}x= \varepsilon F(x,\dot{x}, \ddot{x}, \dddot{x}, \ddddot{x}),\end{equation*}where $\lambda ,$ and $\varepsilon $ are real parameters, $p$ is rational number different from $-1,$ $0,$ $1$, $\varepsilon $ is a small enough and $F\in C^2 $ is a nonlinear autonomous function. we present some applications to illustrate our main results.Characterization and stability of multi-cubic mappings
https://ijnaa.semnan.ac.ir/article_6233.html
In this article, we introduce a new class of multi-cubic mappings and then unify a system of cubic functional equations defining a multi-cubic mapping to an equation, as multi-cubic functional equation. Moreover, we show that the mentioned equation describes the multi-cubic mappings. Furthermore, we prove the Hyers-Ulam stability of multi-cubic mappings in non-Archimedean normed spaces by applying a known fixed point theorem.Strong convergence for $\alpha$-nonexpansive mapping using a partial order induced by a function
https://ijnaa.semnan.ac.ir/article_6436.html
In this work, we introduce a partial ordering on a Banach space induced by a real valued function and prove some convergence theorems for $\alpha$-nonexpansive mapping in a ordered Banach space to a fixed point of mapping using this partial ordering. Moreover we give example to furnish the definition of the partial ordering induced by a real valued function.Artificial intelligence influence on trusting customer relationships in digital marketing
https://ijnaa.semnan.ac.ir/article_6608.html
The digital society has developed in recent years drastically as artificial intelligence has taken on a greater role. Plural companies have begun to see the potential of applying artificial intelligence in digital marketing purposes with customers. Despite the benefits of artificial intelligence, there are concerns many people that human interaction decreases. One reduction of human interaction can in turn complicate the creation of trusting customer relationships about artificial intelligence gets an advantage. This thesis obtains a qualitative research method and the empirical material was gathered through semi-structured interviews with seven respondents.Application of meta-heuristic algorithms in intrusion detection system
https://ijnaa.semnan.ac.ir/article_6703.html
With the Internet being the dominant tool for global communication in today&rsquo;s world, the issue of Internet information security has become quite a significant challenge. Wireless sensor networks, like other systems, can be penetrated and it appears that natural communities, due to their adequate capabilities in information processing, can be utilized as a model in these networks. Accordingly, in this study, we shall analyze a model that uses the energy and operational power of the three meta-heuristic algorithms GA, PSO &amp; GSO that occur in natural communities. Furthermore, we introduced four Dos, D-dos, Wormhole, and Sinkhole attacks to these algorithms, and thereafter examined their latency, throughput, and energy. The findings revealed that among these algorithms, the GA algorithm has the highest energy and the PSO algorithm has the highest throughput.The impact of Islamic banking development and inflation rate on investment: A panel approach based on data from Iran, Malaysia and Turkey
https://ijnaa.semnan.ac.ir/article_6228.html
One of the factors affecting the economic growth and development of countries is an investment, so it is very important to pay attention to the growth and expansion of investment and the factors affecting it. Therefore, the main purpose of this study is to investigate the impact of the development of Islamic banking and inflation on an investment. This research is descriptive in nature and applied in purpose. The relationships between the variables have been studied using the data panel method based on statistical data from Iran, Malaysia and Turkey for the period 2005 to 2020. To collect the necessary data and information to test the hypotheses, the data of the Central Bank of Iran and the World Bank have been used. Findings show that the variable of Islamic banking development has a positive and significant relationship with investment in selected countries and the variable of inflation rate has a significant but negative relationship with investment. Also, based on the results, a positive and significant relationship between GDP variables, the degree of trade openness with investment was determined.Approximation properties in fuzzy cone normed linear space
https://ijnaa.semnan.ac.ir/article_6705.html
The main purpose of this paper is to consider the best approximation in fuzzy cone normed linear space and study its related results. We introduce quotient fuzzy cone normed linear space and proved some results of approximation in such spaces. We also discuss the relation in proximity and Chebyshevity of a given space and its quotient space.Reliability analysis of Helmert model for Robust M-estimator
https://ijnaa.semnan.ac.ir/article_6602.html
Traditional techniques of the Helmert model are known to be used for the purpose of smoothing the data. Therefore, the special Helmert robust technique is adopted in this research to reach the internal and external reliability and suitability for the data using observed points and corresponding weights, which form the objective of this study. The least-squares method poorly performed in the presence of outliers, in comparison with the use of the robust traditional techniques, to reduce the outliers&rsquo; impact. Geodetic reliability consists of two basic components: internal reliability and external reliability, which are critical measures of validating the model. Through the analyses, the internal reliability values represented by the minimum detectable bias become larger, increasing the reliability value and decreasing the probability of error. After comparing the two methods, the best method was chosen based on the final value of the probability of error. The values of the measuring parameters were modified accordingly. This method is essential to determine the reliability of the model and is bound by the effect of observations on the estimated variance of the parameters. Depending on the using various methods to estimate the reliability of the Helmert model, the results indicated that the suggested robust M method is the most accurate. And in this contribution, the minimum detectable bias was used to determine the outliers in the Gauss-Helmert model. The results showed that the robust M method has the ability to detect outliers and reduce their impact by calculating the value of the Mean Absolute Percentage Error.Radiation effect on MHD copper suspended nanofluid flow through a stenosed artery with temperature-dependent viscosity
https://ijnaa.semnan.ac.ir/article_6716.html
In the present paper, the effects of radiation, variable viscosity, and the inclination of the artery on copper nanofluid through composite stenosis with chemical reaction are discussed. The viscosity of blood is varied with temperature as represented in the Reynolds viscosity model. The coupled nonlinear equations of the nanofluid model are simplified by considering the mild stenosis case. The governing equations are solved numerically by applying the Finite Difference Method. The effects of the physical parameters on the velocity, temperature, and concentration along the radial axis have been studied and are physically interpreted for medical applications. The effect of shear stress along the increasing height of stenosis has been explained with the help of graphs. The proposed work will be beneficial to clinicians, hematologists, and biomedical engineers because they serve as useful approximations, which are capable of throwing some light toward the understanding of the genesis of pathological states, like arteriosclerosis as well as the mechanism of gaseous exchanges that take place within arteries and capillaries.Evaluation of the effectiveness of e-learning systems in teaching mathematics (Case study: 10th grade mathematical physics and experimental sciences students in North Khorasan province- Iran)
https://ijnaa.semnan.ac.ir/article_6479.html
The purpose of the present study was to investigate the effectiveness of e-learning systems in teaching mathematics to tenth-grade students in both fields of study mathematical physics and experimental sciences disciplines in North Khorasan province (Northeastern Iran). This research was conducted as applied research and by a descriptive-survey method. The statistical population of the present study includes all tenth-grade students of both mathematical physics and experimental sciences in North Khorasan province (2900 students) and finally, about 340 students were selected using Krejcie and Morgan selection table. The research data collection tool is the standard e-learning questionnaire of Watkins et al. \cite{24}. This questionnaire includes 25 questions and 6 factors (access to technology, motivation, ability to learn through the media, Internet group conversations, and important issues for success in e-learning). In order to test the research hypotheses, the structural equation modelling method with LISREL software version 8.8 was used. The results of factor analysis showed that among the items of skills and continuous communication only two items were ma1 and ma4, among the items of motivation, only item a1, among the items of access to technology only item d2, and among the items of the ability to learn through the media, the two items t1 and t2, among the items of Internet group conversations, only the item g3 and among the items of important issues for success in e-learning, the two items m1 and m3 were approved. Because the factor load of these items is more than 0.4 and also the value of the computational t-statistic is more than the standard value of 1.96. In other words, the more students are equipped with these items, the more successful they will be in learning mathematics through electronic systems. The results also showed that among the variables affecting the evaluation of the success of electronic systems, only the value of the motivation t-statistic (1.97) is higher than the standard value of 1.96. In other words, the results indicate that the more motivated students are, the more they will learn mathematics through electronic systems.Bernstein-type inequalities for a zero-preserving operator on the space of polynomials
https://ijnaa.semnan.ac.ir/article_6720.html
In this paper, we study zero-preserving character of a linear operator on the space of complex-polynomials which also preserve Bernstein-type inequalities for polynomials.Pairwise connectedness in $\check{\text{C}}$ech fuzzy soft bi-closure spaces
https://ijnaa.semnan.ac.ir/article_6445.html
The concept of $\check{\text{C}}$ech fuzzy soft bi-closure space ($ \check{\text{C}} $fs bi-csp) $\left(\mathcal{U}, \mathcal{L}_{1}, \mathcal{L}_{2}, S\right)$ is initiated and studied by the authors in \cite{6}. The notion of pairwise fuzzy soft separated sets in $ \check{\text{C}} $fs bi-csp is defined in this study, and various features of this notion are proved. Then, we introduce and investigate the concept of connectedness in both $ \check{\text{C}} $fs bi-csps and its associated fuzzy soft bitopological spaces utilizing the concept of pairwise fuzzy soft separated sets. Furthermore, the concept of pairwise feebly connected is introduced, and the relationship between pairwise connected and pairwise feebly connected is discussed. Finally, we provide various instances to further explain our findings.On a solvable system of difference equations via some number sequences
https://ijnaa.semnan.ac.ir/article_6724.html
In this paper, we show that the following three-dimensional rational system of difference equations\begin{equation*}x_{n}=\frac{z_{n-1}z_{n-3}}{bx_{n-2}+az_{n-3}}, \ y_{n}=\frac{x_{n-1}x_{n-3}}{dy_{n-2}+cx_{n-3}}, \ z_{n}=\frac{y_{n-1}y_{n-3}}{fz_{n-2}+ey_{n-3}}, \ n\in \mathbb{N}_{0},\end{equation*}where the parameters $a, b, c, d, e, f$\ and the initial values $x_{-i},y_{-i},z_{-i}$, $i \in \{1,2,3\}$, are real numbers, can be solved in explicit form. In addition, the solutions of aforementioned systems according to the special cases of the parameters are given in closed form. Later, the forbidden set of the initial values for aforementioned system is described. Finally, an application and numerical examples to support our results are given.A study on the effect of business process reengineering on the information technology management improvement in knowledge-based IT organizations
https://ijnaa.semnan.ac.ir/article_6489.html
The present study aimed to investigate the effect of business process reengineering on information technology management improvement in knowledge-based IT organizations according to statistical analysis methodology in SPSS. The statistical population consisted of two general groups, first, knowledgeable professors, and second, ITIL experts, or similar positions in knowledge-based IT organizations. After distributing 100 questionnaires, the sample size of the research was equal to 96 available and cooperative experts who were collected by a combination of two methods, namely non-probability purposive (judgmental) sampling, and snowball sampling, in the spring of 2019. According to the important result of the study "Investigating the Effect of business process Reengineering on the promotion of ITM", since the slope of the regression line was the correlation coefficient sign, there was a positive significant relationship between IT design process reengineering (X2) and IT transfer process reengineering (X3) variables because the statistical correlation coefficient between them was calculated to be 0.913, and there was a statistical correlation coefficient of 0.778 between the IT strategy process reengineering (X1) and continuous IT improvement process reengineering (X5), and a correlation coefficient of 0.836 between the IT design process reengineering (X2) and the IT strategy process reengineering (X1), and the correlation coefficient equal to 0.838 between the IT operation process reengineering (X4), and IT transfer processes reengineering (X3). The impact of business process reengineering on IT management improvement can be comprehensively evaluated due to the high correlation between research variables and indices.A strongly convergent extragradient method with non-monotone self adaptive step size rule for solving pseudomonotone variational inequalities in a real Hilbert space
https://ijnaa.semnan.ac.ir/article_6728.html
In this paper, a new algorithm is proposed to solve pseudo-monotone variational inequalities with the Lipschitz condition in a real Hilbert space. This problem is an exceptionally general mathematical problem in the sense that it consists of a number of the applied mathematical problems as a special instance, such as optimization problems, equilibrium models, fixed point problems, the saddle point problems, and Nash equilibrium point problems. The algorithm is formulated around two algorithms: the extra gradient algorithm and the inertial algorithm. The proposed algorithm uses a new step size rule based on local operator information rather than its Lipschitz constant or any other line search strategy and operates without any knowledge of the operator's Lipschitz constant. It presents the strong convergence of the algorithm. Finally, we conduct a number of numerical experiments to determine the performance and superiority of the described algorithm.Analytical solutions for time-fractional Swift-Hohenberg equations via a modified integral transform technique
https://ijnaa.semnan.ac.ir/article_6732.html
In this work, the fractional natural transform decomposition method (FNTDM) is employed to obtain approximate analytical solutions for some time-fractional versions of the nonlinear Swift-Hohenberg (S-H) equation with the fractional derivatives taken in the sense of Caputo. The S-H equation models problems arising from fluid dynamics and describes temperature dynamics of thermal convection as well as complex pattern formation processes in liquid surfaces bounded along a horizontally well-conducting boundary. To explore the applicability, simplicity, and efficiency of the FNTDM, numerical simulations are provided for each of the considered problems to demonstrate the behavior of the obtained approximate solutions for different values of the fractional parameter index. The obtained simulations show a similar resemblance with those in existing related literature and further confirm the applicability of the considered method to even complex problems arising in diverse fields of applied mathematics and physics.A novel two-step iterative method based on real interval arithmetic for finding enclosures of roots of systems of nonlinear equations
https://ijnaa.semnan.ac.ir/article_6475.html
&lrm;In the present paper&lrm;, &lrm;a novel two-step iterative method&lrm;, &lrm;based on real interval arithmetic&lrm;, &lrm;is produced&lrm;. &lrm;By using this method&lrm;, &lrm;we obtain enclosures of roots of systems of nonlinear equations&lrm;. &lrm;Discussion on the convergence analysis for the produced method is presented&lrm;. &lrm;The efficiency&lrm;, &lrm;accuracy&lrm;, &lrm;and validity of this method are demonstrated by its application to four implemented examples with INTLAB and by comparing our results with the results obtained by other methods available in the literature&lrm;.Mixed nonlocal boundary value problem for implicit fractional differential equation involving both retarded and advanced arguments
https://ijnaa.semnan.ac.ir/article_6746.html
In this paper, we investigate the existence and uniqueness of solutions for nonlinear implicit Hilfer-Hadamard fractional differential equations involving both retarded and advanced arguments and nonlocal mixed boundary conditions. We also use the Banach contraction mapping principle and Schaefer&rsquo;s fixed point theorem to show the existence and uniqueness of solutions. The results obtained here extend the work of Benchohra et al. [10] and Haoues et al. [18]. An example is alsogiven to illustrate the results.Detection of drones with YOLOv4 deep learning algorithm
https://ijnaa.semnan.ac.ir/article_6634.html
Drones or unmanned aerial vehicles (UAVs) have rapidly spread all over the world and are becoming widely popular in major cities for personal and commercial use. It has also been widely used for military purposes in the last decade. Thus, it has become difficult to maintain control over them and the risks they pose to privacy and security. In this paper, we present a solution to detect drones before they can reach a sensitive area or residence using the latest YOLOv4 deep learning algorithm while using Darknet as a backbone. We trained our model on different images at different distances and climatic conditions and trained our model to detect birds and aircraft that are very similar to drones at higher distances that may cause confusion, and also train the system at close distances and at very low and high image quality. For all available cases, our dataset was collected from three global and certified datasets in aircraft detection systems and the result was a dataset containing all cases. However, the collection of drones, birds and aircraft datasets is not easy to obtain. The proposed method achieved an accuracy of 98.3\% with the main challenge of detecting similar small objects near and far in all conditions.On asymptotic and Hyers-Ulam stability of Hilfer fractional initial value problem involving a $(p_{1} ,p_{2},\dots, p _{n})$-Laplacian operator
https://ijnaa.semnan.ac.ir/article_6751.html
In this paper, we investigate the existence, asymptotic, Hyers-Ulam, and semi-Hyers-Ulam-Rassias stability results for the Hilfer fractional initial value problem involving the (p$_{1},$p$_{2}...$p$_{n}$)-Laplacian operator by using the fixed point arguments.Task scheduling optimization based on heuristic algorithm for heterogeneous cloud computing platforms
https://ijnaa.semnan.ac.ir/article_6466.html
In recent years, the issue of power consumption in parallel and distributed systems has attracted a great deal of attention. Regarding the ever-increasing &nbsp;development data and computing centers due to the contribution of cloud computing systems in such sectors, power consumption has always been of the &nbsp;concerns due to Carbon dioxide emissions and consequently the Negative impact on the environment. In recent years, the notion of power and also "Green &nbsp;Computing" has found a crucial spot in the tasks scheduling in cloud data centers. The clustering technique, as well as Dynamic Voltage and Frequency &nbsp;Scaling (DVFS) techniques, have focused on the reduction of the consumption of power particularly, and the optimization of the performance parameters. &nbsp;Concerning scheduling Directed Acyclic Graph (DAG) of a data center processors equipped with the technique of DVFS, this paper proposes a power and time &nbsp;aware algorithm called PATCDD, to apply the combination of the strategies for clustering along with the distribution of slack-time among the tasks of a &nbsp;cluster. The first phase studies the slack time for non-critical tasks of DAG, extends their execution time and reduces the energy consumption without increasing the task&rsquo;s execution time as a whole. The main idea of the proposed algorithm involves the achievement of a maximum reduction in power &nbsp;consumption in the second phase. To this end, the slack time is distributed among non-critical dependent tasks. Eventually, a set of data established for &nbsp;conducting the examinations and also different parameters of the constructed random DAG were assessed to identify the efficiency of our proposed &nbsp;algorithm. &nbsp; &nbsp;Maclaurin coefficient estimates of te-univalent functions connected with the (p,q)-derivative
https://ijnaa.semnan.ac.ir/article_6758.html
In this paper, we introduce a new subclass of analytic and te-univalent functions in the open unit disc associated with the operator $\mathcal{T}_{\zeta }^{\lambda ,p,q}$, which is defined by using the (p,q)-derivative. We obtain the coefficient estimates and Fekete-Szeg\H{o} inequalities for the functions belonging to this class.The various results presented in this paper would generalize and improve those in related works of several earlier authors.On the co-intersection graph of subsemimodules of a semimodule
https://ijnaa.semnan.ac.ir/article_6621.html
Let $S$ be a semiring with identity and $U$ be a unitary left $S$-semimodule. The co-intersection graph of an $S$-semimodule $U$, denoted by $\Gamma(U)$, is defined to be the undirected simple graph whose vertices are in one-to-one correspondence with all non-trivial subsemimodules of $U$, and there is an edge between two distinct vertices $N$ and $L$ if and only if $N+L \neq U$. We study these graphs to relate the combinatorial properties of $\Gamma(U)$ to the algebraic properties of the $S$-semimodule $U$. We study the connectedness of $\Gamma(U)$. We investigate some properties of $\Gamma(U)$ for instance, we find the domination number and clique number of $\Gamma(U)$. Also, we study cycles in $\Gamma(U)$.On $T_\beta$-contractive mappings: Fixed point results with an application
https://ijnaa.semnan.ac.ir/article_6759.html
We introduce the concept of $T_\beta$-contractive mappings in the framework of bounded metric spaces and prove the existence of a fixed point for such mappings without using neither the compactness nor the uniform convexity of the space. Furthermore, a fixed point theorem for $T_{\beta}$-weakly contractive maps has been given. We point out that, these results generalize and improve many previous works in the literature. &nbsp; &nbsp;Ultimately, one of our theoretical results has been implicated to study the existence of the solution to a class of functional equations arising in dynamic programming under new weak conditions.Ranking of indices affecting operational budgeting based on performance information in the country's municipalities using the AHP method
https://ijnaa.semnan.ac.ir/article_6768.html
The current paper aims at structuring the implementation of operational budgeting using performance information to allocate budget resources in the country's municipalities. This is a development-applied, exploratory (causal) and cross-sectional survey. The statistical population of the study in the qualitative stage included university experts specializing in government budgeting and accounting. Experimental municipality elites were also used as experts, and finally, 30 experts were selected. In the quantitative stage of research; 420 employees working in the administrative and financial departments of municipalities were selected. The sample size of 200 people was estimated using the Krejcie -Morgan table. Purposeful and random sampling methods were used in the qualitative and quantitative sections. Experts' opinion determined 8 main indices as the main indices for evaluating operational budgeting in municipalities. These indices are (implementation, organizational performance, efficiency and effectiveness, planning, cost management, organizational change management, reward and accountability management, statistics and information management), each of which consists of several components through coding. The mean expert opinions for the first component, i.e. the method of implementation in the operational budgeting of municipalities, are such that the maximum and the minimum impact from the expert opinions are 9.6 and 5.9, respectively, while most opinions are in the range of 8.1 to 9.2. The opinions are very influential, taking into account the opinions and trapezoidal fuzzy numbers diagrams. Given the significance level of the Friedman test, because the probability value is (0.000) and is less than 0.05, it shows that the variables are significantly different from each other. The results also show that the management component of the reward and accountability system has the maximum rank and the management and statistics management component has the minimum rank. The results of the model evaluation showed that there was a significant difference and effect with respect to the mean and the difference between the means obtained from the comparison of indices and the indices affecting operational budgeting in municipalities. The significance level is less than 0.01 and has been confirmed at the confidence level of 0.99. The magnitude of this effect is (B = 0.72)), (B = 0.77), (B = 0.54), (B = 0.87), (B = 0.46), (B = 0.51), (B = 0.49), (B = 0.47)) for Implementation Method, Organizational Performance, Efficiency and Effectiveness, Planning, Cost Management, Organizational Change Management, Reward and Accountability System Management, Statistics and Information Management, respectively.Differential subordination and superordination of a $q$-derivative operator connected with the $q$-exponential function
https://ijnaa.semnan.ac.ir/article_6761.html
In this article, we define a $q$-derivative operator of univalent functions associated with the $q$-exponential function. Moreover, we introduce differential subordination and differential superordination for the subordination class defined by this operator. Sandwich-type theorems of several known results also are derived by applying these results.Estimation of the epidemiological model with a system of differential equations (SIRD) using the Runge-Kutta method in Iraq
https://ijnaa.semnan.ac.ir/article_6509.html
In this paper, we will use the SIRD model to discuss the development of the Corona pandemic in Iraq; through a system of non-linear differential equations, we will use the (Runge-Kutta) method as a solution to the system of various non-linear equations such as the SIRD model, and the parameters used are based on This paper deals with confirmed cases of injury, recovery and deaths from the accurate data available for the period from (February 24, 2020) to (February 22, 2022), and we also present an estimate of the Basic Reproduction number $(R_0)$ for the (SIRD) model.Board interaction with information based on grounding theory
https://ijnaa.semnan.ac.ir/article_6715.html
The present dissertation is based on a contextual approach and in order to provide a model based on the risk and complexity of board interaction as a pillar of corporate governance with information based on grounding theory. In order to validate the field research and in fact, as a kind of initial practice, a pilot sample has been used. In addition to the interviews, in this research, field notes were also used, which were also recorded and coded in the field. These notes produced a total of 46 codes with a total of 96 sources, and the final reviews produced 76 codes and 142 sources. The pilot interview highlighted the need to focus more on listening during the interview and to ensure that the coding was done effectively in the research and that trends and activities were examined. The first stage of the survey was to draw potential study lines and one-page feedback was prepared for the interviewees the second stage of the survey was received from the interviewees in four stages by e-mail. In addition, two of the initial interviewees were re-interviewed based on the findings. The other three interviews at this stage were conducted using a one-page report for the structure of the interview.Study on fractional order atmospheric internal waves model by Aboodh transform homotopy perturbation method
https://ijnaa.semnan.ac.ir/article_6762.html
The study of atmospheric internal waves which occur inside a fluid rather than on the surface is represented by a mathematical model named the atmospheric internal waves model. Under the shallow-fluid assumption, internal atmospheric waves are modeled by a nonlinear partial differential equation system. The proposed shallow flow model is based on the assumption that waves spread out horizontally before rising vertically. The Aboodh transform homotopy perturbation method (ATHPM) has been applied to obtain an approximate solution for a given model. This model helps to understand global atmospheric modeling, which has applications in climate and weather predictions. The ATHPM solution is compared with the &nbsp;EADM solution, HAM solution, FRDTM solution, and q-HAShTM solution to examine the accuracy and efficiency of the suggested method.Assessment and ranking of automobile manufactures listed on the Tehran Stock Exchange via utilizing ISM and BWM methods
https://ijnaa.semnan.ac.ir/article_6500.html
Appraising and evaluating the financial performance of companies as well as the extent to which they achieve their specified objectives are among the important methods for identifying weaknesses, ameliorating them, as well as making financial decisions. However, specialized performance analysis requires the deployment of accurate and comprehensive performance evaluation criteria. In this study, the financial performance of car companies active on the Tehran Stock Exchange shall be reviewed and evaluated. The automotive industry is one of the oldest industries in the country's economy as well as the capital market. Due to its strategic significance as well as creating countless job opportunities and being among the ``mother industries'', despite multiple problems and obstacles, this industry has always been supported and valued by the government. This support and backing is likely to continue. It is estimated there are approx 60 companies operating in this industry. Hence, for this analysis, upon conferring with relevant experts, 50 financial ratios were utilized (49 ratios were finalized). The ratios were classified into 6 categories: conjunctive, economic, leverage, liquidity, profitability and activity. These ratios were weighted and prioritized by experts. The analysis was conducted utilizing the \textbf{\textit{ligo}} software and via the multivariate decision criteria of best/worst and the Aras technique. Ultimately, the companies were ranked. The assessment was performed on companies whose ratios were available. The findings demonstrated that the Mashhad Ring Manufacturing Company, Saipa Azin and Iran Khodro companies were ranked 1 to 3, respectively. Meanwhile, Irandor Foundry Industry Company was ranked in the last place.Social distance in object detection: Survey based on cutting-edge deep learning approach
https://ijnaa.semnan.ac.ir/article_6585.html
Many health systems face extraordinary problems because of the ongoing COVID-19 outbreak and new variations. Multiple regulatory authorities have made it mandatory to maintain a safe distance, particularly in public settings where large groups of people are likely to come into contact, such as sports arenas, public transportation, workplaces as well as shopping malls. Nevertheless, keeping a safe distance (two meters), adjusting multiple model detection errors or accuracy as well as deployment prerequisites, great number of people, facial expression, view angle, low-resolution images, detection model deployment on computers having restricted processing power, and the shortage of a real-world dataset have all made compliance and adherence to proper distancing social difficult. As a result, this survey examines and contrasts the most important past deep learning (DL)-based social distance research. Here, the survey presents a new fine-grained taxonomy that classifies the present state-of-the-art DL-based object detection for detecting distance in terms of several dimensions, such as detection, input data, evaluation methodologies, as well as testing, based on a thorough review. Each facet is then divided into categories based on a variety of factors. In addition, this survey analyses and evaluates the associated experimental techniques suggested as DL-based object detection. Finally, this survey examines DL's role in social distance, object detection datasets impact, as well as the proposed approaches efficacy by assessing the experimental research. The results show that more work is needed to enhance the existing state-of-the-art. Ultimately, open research difficulties are recognized, as well as prospective DL research areas are suggested for future research.Stability analysis of Swine flu epidemics model with awareness and fear
https://ijnaa.semnan.ac.ir/article_6764.html
Many awareness programmes are suggested by health care agencies to reduce the adverse effects of swine flu infection on society. These awareness programmes help to create fear for behavioural changes, which may control the spread of various diseases. Several mathematical models have been studied by many researchers earlier. In this manuscript, we suggest an SEIR mathematical model see the impact of awareness and fear on swine flu infection. The bounded region has been carried out in which, disease-free equilibrium point and endemic equilibrium point exist. The basic reproduction number has been evaluated to determine the local and global stability conditions around equilibrium points. Sensitivity analysis of the basic reproduction number is done to find out the dominant parameters that have a significant impact on infection level. Moreover, suitable graphs are obtained and it is found that awareness is more effective than fear to reduce the risk of swine flu infection.Using a Laplace approximation to estimate the genetic variance components in animal models
https://ijnaa.semnan.ac.ir/article_6477.html
&lrm;Animal model is a type of mixed-effects model&lrm;, &lrm;where covariance among data points comes from genetic and environmental effects&lrm;. &lrm;In this paper, the multivariate normal distribution is assumed for the genetic random effects. A new approximate maximum likelihood method is proposed to obtain the estimates of the genetic variance components and heritability&lrm;. &lrm;The effectiveness of the proposed method is illustrated through a simulation study.On the value distribution of the differential polynomial $\phi f^{n}f^{(k)}-1$
https://ijnaa.semnan.ac.ir/article_6766.html
In the paper, we study the value distribution of the differential polynomial $\phi f^{n} f^{(k)} -1$, where $f(z)$ is a transcendental meromorphic function, $\phi(z) (\not \equiv 0)$ is a small function of $f(z)$ and $n (&gt; 2), k (\geq 1)$ are integers. We prove an inequality which will give an upper bound for the characteristic function $T(r,f)$ in terms of reduced counting function only.Comparison between radial basis neural network improvement method with SALP optimization algorithm (RBF-SSA) with other hybrid optimization algorithms
https://ijnaa.semnan.ac.ir/article_6727.html
In the electricity industry, load forecasting is one of the most important tasks in planning, distribution, operations management, and providing appropriate solutions for power systems. Power consumption plays an important role in the planning and optimal use of power systems. With the existing technology, it is not yet possible to store this energy in large dimensions, so accurate forecasting of consumption can play an important role in the economic use of electricity. The amount of electrical charge consumption is not constant but is complex and nonlinearly a function of several parameters. Due to the variable amount of electrical charge consumption, power companies must anticipate it in different timelines of the information needed to make decisions. In this article, a new method is presented according to the efficiency of short-term load prediction, which can be from the next few hours to a week or a few weeks. Due to the efficiency of evolutionary methods in setting the parameters of forecasting methods, in this paper, the SALP optimization algorithm is used as an algorithm with high convergence accuracy to improve the neural network of the radial base function. Therefore, in this paper, a comparison between the method of improving the neural network of the radial base function with the SALP optimization algorithm for short-term load prediction by considering meteorological factors with other combined methods of optimization algorithms is shown. The results of comparison between predictions in the proposed model (improved neural network with SALP algorithm) compared to other combined methods of load prediction, show that the proposed neural network method improves the radial base function with SALP (RBF-SSA) better. Other combined methods improve the results.A novel framework for APT attack detection based on network traffic
https://ijnaa.semnan.ac.ir/article_6769.html
APT (Advanced Persistent Threat) attack is a dangerous, targeted attack form with clear targets. APT attack campaigns have huge consequences. Therefore, the problem of researching and developing the APT attack detection solution is very urgent and necessary nowadays. On the other hand, no matter how advanced the APT attack, it has clear processes and lifecycles. Taking advantage of this point, security experts recommend that could develop APT attack detection solutions for each of their life cycles and processes. In APT attacks, hackers often use phishing techniques to perform attacks and steal data. If this attack and phishing phase is detected, the entire APT attack campaign will be crash. Therefore, it is necessary to research and deploy technology and solutions that could detect early the APT attack when it is in the stages of attacking and stealing data. This paper proposes an APT attack detection framework based on the Network traffic analysis technique using open-source tools and deep learning models. This research focuses on analyzing Network traffic into different components, then finds ways to extract abnormal behaviors on those components, and finally uses deep learning algorithms to classify Network traffic based on the extracted abnormal behaviors. The abnormal behavior analysis process is presented in detail in section III.A of the paper. The APT attack detection method based on Network traffic is presented in section III.B of this paper. Finally, the experimental process of the proposal is performed in section IV of the paperOptimization of the nonlinear model of neural network training in predicting thermal efficiency of solar concentrator with simulated annealing algorithm
https://ijnaa.semnan.ac.ir/article_6455.html
Nowadays, artificial neural networks are widely used to solve large-scale and complex problems. The purpose of this study is to use artificial intelligence techniques such as artificial neural networks and simulated annealing algorithm, to optimize the solar energy system in order to maximize its economic benefits. Here, a new nonlinear computational model has been presented to predict the thermal performance of compound parabolic concentrator (CPC). In this regard, three models of artificial neural network (ANN) including radial-basis function (RBFANN), multi-layer perception (MLPANN) as well as adaptive neuro fuzzy inference system (ANFIS) are used to identify the nonlinear relationship between input and output parameters of the system. The optimal nonlinear structure of the model is determined through the simulated annealing (SA) method. Validation of the proposed models is performed on a CPC. The results show that all the three models are efficient. In particular, statistical analyses show that the ANFIS model is more accurate in the process of predicting thermal efficiency. So, the given models can be effectively applied in practical fields.Multivalued relation-theoretic graph contraction principle with applications
https://ijnaa.semnan.ac.ir/article_6770.html
In this paper, we present a new generalization of Nadler's fixed point theorem for multivalued relation-theoretic graph contractions on relational metric spaces. Our results extend and generalize the result of Shukla and Rodriguez-Lopez (Questiones Mathematiae, (2019) 1-16), Nadler (Pacific J. Math. 30 (1969), 475-488), Alam and Imdad (J. Fixed Point Theory and Appl., 17(4) (2015), 693-702) and many others in the existing literature of fixed point theory. Some illustrative examples are also provided to illustrate the usefulness of our main results. Moreover, we have an application to generalized coupled fixed point problems.Dynamical study of addiction modelling under some control strategies
https://ijnaa.semnan.ac.ir/article_6778.html
In this work, a paradigm for drugs and addiction is put forth and examined. It is a given that the model took the impact of governmental policies and the addict's control into account. The designer's solution's availability, uniqueness, and bounds should be first addressed. Second, we investigated each equilibrium pointe's existence and localized stability. Additionally, some of the prerequisites for the optimistic equilibrium's global stability are identified. Finally, a computational domain is used to illustrate the theoretical result.Vaccination and control measures on vector transmission dynamics: Modeling and simulation
https://ijnaa.semnan.ac.ir/article_6772.html
In this paper, a non-linear mathematical model is proposed and analyzed to study the role of vaccination and control measures on the spread of vector-borne diseases. It is assumed that susceptible hosts can be infected either directly or indirectly. In the modelling process, it is considered that only a susceptible person can be vaccinated. The existence of the control problem is proved and later used to investigate effective control efforts for the prevention of direct and indirect transmission of disease. The model is analyzed using Hurwitz and Sylvester&rsquo;s criterion. The analysis of the model reveals that, if the vaccination reproduction number $\mathcal{R}_{v}$ is less than one, the disease can be eradicated provided, and the vaccine is highly efficient.Designing an optimal model for choosing real options in knowledge-based companies (content analysis approach and Black-Scholes model)
https://ijnaa.semnan.ac.ir/article_6454.html
Real option is a systematic approach in which economic modeling can be done using financial theories, economic analysis, operations research, decision theory, and statistics. The aim of this study is to design an optimal model for selecting real&nbsp; options in knowledge-based companies. This research is conducted with a mixed approach in two parts: qualitative and quantitative. In the qualitative section, by interviewing tools and qualitative content analysis method, the components of real option selection in knowledge-based companies are identified. The statistical population in this section includes university specialists and experts, managers of knowledge-based companies and competent individuals with executive positions in these companies who have executive backgrounds at decision-making levels. The sample size is obtained by purposive sampling equal to 12 people. Based on the results of the qualitative section, 11 main components and 103 sub-components are identified to select real options in knowledge-based companies. After identifying the components of real options&rsquo; valuation in knowledge-based companies, the obtained qualitative model is tested by the Black-Scholes method. To this end, the qualitative section variables are converted to computable data for knowledge-based companies and then, the relevant statistical data are collected for 50 knowledge-based companies. Quantitative section variables include operating profit, depreciation, capital expenditures, working capital and, finally, the free cash flow of knowledge-based companies. The results show that the Black-Scholes method has more valuation than the traditional method.On automorphisms of strong semilattice of $\pi$-groups
https://ijnaa.semnan.ac.ir/article_6456.html
In this paper, we make a start by considering the automorphisms of strong semilattice of $\pi$-groups, relating them to the automorphisms of underlying $\pi$-groups. We also provide a condition under which an automorphism of strong semilattice of $\pi$-groups can be constructed.Decision usefulness of the positive and negative operating cash flows: A mathematical approach
https://ijnaa.semnan.ac.ir/article_6779.html
The principal goal of this article is to investigate the effect of operating cash flow on decision-making considering the variables of the financial statements in the listed companies on the Iranian stock exchange. From the viewpoint of accounting standards, information content is applied to the particulars that will result in the information presented within the financial report being useful in the decision-making. The amount of data content for accounting for making a useful decision was evaluated in this article using the Ohlson model (1995) [35]. To realize the research objective, financial reports from 167 enterprises were accepted/listed on the Tehran Stock Exchange between 2011 and 2020. In addition, the research hypothesis was tested by applying multiple regression models with mixed data. The results show that the variable &ldquo;operating cash flow&rdquo; has a significant influence on the relationship between earnings per share, the book value of the share, and the stock price. This matter is in line with the information content theory. In other words, operating cash flow includes information content and will lead to an improvement in effective decision-making.A state-dependent Chandrasekhar integral equation
https://ijnaa.semnan.ac.ir/article_6493.html
Phenomena depending on their past history or their past state have received more importance. The mathematical models of these phenomena can be described by differential equations of a hereditary or a self-referred type. This paper is devoted to study the solvability of a state-dependent or self-referred integral equation via Chandrasekhar kernel. The investigation of this problem is motivated by the results from, Eder [10], Feˇckan [11] and Buica [3] who initiated the study of state dependent differential equations. Here, the existence and the uniqueness of the solution of this state-dependent integral equation viaChandrasekhar kernel have been discussed. The data dependency of the solution on some functions has been studied.Toeplitz-plus-Hankel matrices with perturbed corners
https://ijnaa.semnan.ac.ir/article_6460.html
This paper examines suitable borderings and modification techniques for finding some special properties of a class of real heptadiagonal symmetric Toeplitz matrices and anti-heptadiagonal persymmetric Hankel matrices with perturbed corners as the zeros of explicit rational functions. An orthogonal diagonalization, inverse and determinant, and a formula to compute its integer powers for these matrices are shown. Then, these results are expanded for the corresponding Toeplitz-plus-Hankel matrices with perturbed corners.Existence results of some p(u)-Laplacian systems
https://ijnaa.semnan.ac.ir/article_6700.html
In this paper, we consider the existence of weak solutions for some $p(u)$-Laplacian problems with Dirichlet boundary conditions. Here the exponent of nonlinearity $p$ depends on the solution $u$ itself. Existence results for the associated boundary-value local problem are given by using a singular perturbation technique combined with the theory of Sobolev spaces with exponent variables.Multi-area economic/emission dispatch considering the impact of the renewable energy resources and electric vehicles
https://ijnaa.semnan.ac.ir/article_6721.html
This paper proposed a model and method for multi-area economic/emission dispatch in the presence of renewable energy sources (RESs) and electric vehicles (EVs). The economic/Emission load dispatch model includes uncertain modeling of wind and solar renewable energy sources along with an uncertain model of electric vehicles and network demand with the objective of reducing economic and pollution costs of generation units. In this paper, the day-ahead electricity market is modeled on a 24-hour time period. Since it will be very difficult to solve the problem by increasing the time period and the number of generation units as well as considering the uncertainty, a meta-heuristic algorithm with the ability to solve large-scale problems and Investigate the concept of affordability based on the application of a thorough researched fast convergence has been presented. A modified particle swarm optimization (MPSO) algorithm has been proposed to solve the proposed problem due to the rapid convergence of hard optimization problems and achieve the optimal global result. A case study with four areas has been considered for the analysis of the proposed model and method, and two different approaches have been presented to illustrate the multi-area economic/emission dispatch and the results indicated the efficiency of the proposed model and method.On ap-sequential Henstock integral for interval valued functions
https://ijnaa.semnan.ac.ir/article_6538.html
The aim of this paper is to introduce the notion of interval ap-Sequential Henstock integral(shortly, the ap-ISH . Some interesting properties of ap-ISH are investigated.Hankel determinant of a subclass of analytic and bi-univalent functions defined by means of subordination and q-differentiation
https://ijnaa.semnan.ac.ir/article_6299.html
In this present article, the $q$-derivative operator and the subordination principle are use to define a class of functions that are analytic and bi-univalent in the open unit disk. Our aim for this class is to obtain the upper bound for the second Hankel determinant for functions in this new subclass of analytic and bi-univalent functions.n-tuple fixed point theorems via $\alpha$-series on partially ordered cone metric spaces
https://ijnaa.semnan.ac.ir/article_6632.html
In this research, we prove the results of $n$-tuple fixed point in partially ordered cone metric spaces. We will impose some conditions upon a self-mapping and a sequence of mappings via $\alpha$-series. This series are wider than the convergent series. Also, at the end of this paper, an example is provided to illustrate the results.Electric quadrupole transition in neutron rich $^{32-42}$S-isotopes with different model spaces
https://ijnaa.semnan.ac.ir/article_6783.html
The electromagnetic properties of some even neutron rich Sulfur-isotopes ${ }^{32-42} \mathrm{~S}$ are studied through the electric quadrupole transition $\left(0_{1}^{+} \rightarrow 2_{1}^{+}\right)$. In particular, excitation energies $E_{x}$, occupancies, electric quadrupole moments $Q$, transition strengths $B(E 2)$, deformation parameters $\beta_{2}$ and the coulomb inelastic electron scattering form factors are calculated for the adopted isotopes within the framework of shell model. The shell model calculations are performed with full $s d$-model space, $p s d$ - and $s d p f$ - cross shell, using different interactions. The results are based on $s d b a$ and $p s d m k$ interactions for sulfur with $N \leq 20$, while sdpfk and $s d p f u$ interactions are dependent for sulfur with $N&gt;20$. The core polarization effects $(C P)$ are included through the Boher-Mottelson $(B-M)$ and standard $(S T)$ effective charges to obtain a reasonable description of the electric quadrupole moments and C2 form factors. The results of $p s d m k$ and $s d b a$-interactions fail to reproduce the measured $B(E 2)$ strengths and deformation $\beta_{2}$ for ${ }^{32-36} \mathrm{~S}$, except for ${ }^{36} \mathrm{~S}$ nucleus is close to the measured value. The results for ${ }^{38-42} \mathrm{~S}$ with both $s d p f k$ and $s d p f u$ interactions nicely confirm the measured values of $B(E 2)$ strengths and deformation $\beta_{2}$ within the experimental error. The influence of the nuclear deformation parameter $\beta_{2}$ on the location of the diffraction minima of $\mathrm{C} 2$ form factors are also indicated.Using genetic algorithm to optimize a system with repairable components and multi-vacations for repairmen
https://ijnaa.semnan.ac.ir/article_6786.html
In this paper, we present a redundancy allocation problem (RAP) with series-parallel sub-systems and repairable components. The repairmen will go on multiple vacations. In repairable systems, a fundamental aspect to be considered is to predict the reliability of the systems under study. Set a reliability model for repairable systems, however, is still a challenging problem when considering the dependency This paper aims to evaluate the number of components and repairmen in each sub-system. Because this RAP belongs to Np. Hard problems, also, a Genetic algorithm to solve the presented model.Hyperstability of bi-Cauchy-Jensen functional equations
https://ijnaa.semnan.ac.ir/article_6794.html
In this paper, we prove some hyperstability results of the bi-Cauchy-Jensen functional equation: $2f\left( x+y,\frac{z+w}{2} \right) = f(x,z) + f(x,w) + f(y,z) + f(y,w)$ in Banach spaces by using fixed point method.Half inverse problems for the singular Sturm-Liouville operator
https://ijnaa.semnan.ac.ir/article_6798.html
In this paper, we consider the inverse spectral problem for the impulsive Sturm-Liouville differential pencils on $\left[ &nbsp;0,\pi\right] &nbsp;$ with the Robin boundary conditions and the jump conditions at the point $\dfrac{\pi}{2}$. We prove that two potentials functions on the whole interval and the parameters in the boundary and jump conditions can be determined from a set of eigenvalues for two cases: (i) The potentials are given on $\left(0,\dfrac{\pi}{4}\left( &nbsp;\alpha+\beta\right) &nbsp;\right) &nbsp;.$ (ii) The potentials is given on $\left( &nbsp;\dfrac{\pi}{4}\left( &nbsp;\alpha+\beta\right) &nbsp;,\dfrac{\pi }{2}\left( &nbsp;\alpha+\beta\right) &nbsp;\right) &nbsp;$, where $0&lt;\alpha&lt;\beta&lt;1$ and $\alpha+\beta&gt;1$, respectively.Determining optimal rank in reduced rank regression model by the likelihood ratio test
https://ijnaa.semnan.ac.ir/article_6800.html
This paper presents a method for determining the actual rank of the coefficients matrix in the reduced rank multivariate regression model. The method is constructed using the singular value decomposition and the Likelihood Ratio Test(LRT). Some illustrative examples are given to verify this method.Identifying code number of some Cayley graphs
https://ijnaa.semnan.ac.ir/article_6503.html
Let $\Gamma=(V, E)$ be a simple graph. A set $C$ of vertices $\Gamma$ is an identifying &nbsp;set &nbsp;of $\Gamma$ if for every two vertices $x$ and $y$ the sets $N_{\Gamma}[x] \cap C$ and $N_{\Gamma}[y] \cap C$ are non-empty and different. Given a graph $\Gamma,$ the smallest size of an identifying set of $\Gamma$ is called the identifying code number of $\Gamma$ and is denoted by $\gamma^{ID}(\Gamma).$ Two vertices $x$ and $y$ are twins when $N_{\Gamma}[x]=N_{\Gamma}[y].$ Graphs with at least two twin vertices are not identifiable graph. In this paper, we study identifying code number of some Cayley graphs.Unified duality for mathematical programming problems with vanishing constraints
https://ijnaa.semnan.ac.ir/article_6803.html
In this article, we formulate a new mixed-type dual problem for a mathematical program with vanishing constraints. The presented dual problem does not involve the index set, however, the dual models contain the calculations of index sets, which makes it difficult to solve these models from an algorithm point of view. The weak, strong and strict converse duality theorems are discussed in order to establish the relationships between the mathematical program with vanishing constraints and its mixed type dual under generalized convexity. To validate the results, a non-trivial example is discussed. Our dual model unifies the dual models discussed in [Q. Hu, J. Wang, Y. Chen, New dualities for mathematical programs with vanishing constraints, Annals of Operations Research, 287 (2020) 233-255].Diabetic retinopathy detection and classification based on deep learning: A review
https://ijnaa.semnan.ac.ir/article_6805.html
Diabetic retinopathy can be defined as an eye disease that occurs specifically in diabetic patients and results in damaging the small blood vessels of the retina because of high and low blood sugar. Delayed detection and treatment often lead to blindness, so one of the most significant issues is early detection of this disease, which is necessary for successful treatment. Many deep learning methods have been suggested for diabetic retinopathy detection and classification. Manual inspection of the fundus images to check diabetic retinopathy is highly tedious and time-consuming work. Thus, an automatic method for early diabetic retinopathy diagnosis utilizing the fundus images is very useful tool that helps experts. In this review paper, several deep learning models that are widely used in literature investigated diabetic retinopathy classification will be presented and discussed. In addition, a comparative analysis for classification performance accuracy of diabetic retinopathy using these deep learning models will be reviewed comprehensively. Thus, an automatic approach for early diabetic retinopathy diagnosis utilizing the fundus images is a very useful tool that helps the experts.Hyers-Ulam-Rassias stability of orthogonality equation on restricted domains
https://ijnaa.semnan.ac.ir/article_6807.html
In this paper, we prove some theorems about the Hyers-Ulam-Rassias stability of linear isometries. In particular, this paper will address the stability of the orthogonality equation, $\langle f(x), f(y) \rangle = \langle x, y \rangle$, on the restricted domains.Looking at the effects of financial cycles on the real sector of economy: An examination on the affectability of the unemployment and income inequality in Iran's economy
https://ijnaa.semnan.ac.ir/article_6450.html
The present study analyzes the effects of financial cycles and their components on the real sector of Iran&rsquo;s economy and more precisely on the unemployment rate and income distribution inequality. The theoretical reason behind juxtaposing unemployment and income distribution, is the positive correlation between the two variables under the job-search models, along with their challenging and problematic natures. Employing a multiple-stage methodology, over the 1985-2020 period, this study commences with creating a time-varying index based on the &ldquo;power cohesion&rdquo; of dependent and independent variables and then continues by determining their joint-distribution by the Kalman-filter approach. At the second stage, it tries to find the degree of coincidence (or asynchrony) between real sector and financial-credit indices by generating a composite index consisting of cohesive joint-distributed components, yielded in the last phase. In the final phase, it benefits from non-linear models for robustness and validity checking. The results emerging from the second stage illustrate that the values indicating counter-cyclical movement (or improving) among financial cycles, on the one hand, and real sector cycles, unemployment, and Gini-Coefficient, on the other hand, are 0.61, 0.71, and 0.64, respectively. Also, there is an improvement and significant movement between credit cycles and the real sector variables. However, the significance is weak for credit cycles generated from so-called &ldquo;Directed credits.&rdquo; The validity of the second stage results is verified by the outcomes of the third phase using some standard and more detailed models which are estimated by non-linear methods. The third stage has considerable policy implications for decision-makers.A note on sharpening of Erdos-Lax and Turan-type inequalities for a constrained polynomial
https://ijnaa.semnan.ac.ir/article_6808.html
The well-known Erdos-Lax and Turan-type inequalities, which relate the uniform norm of a univariate complex coefficient polynomial to its derivative on the unit circle in the plane, are discussed in this paper. We create some new inequalities here when there is a restriction on its zeros. The obtained results strengthen some recently proved Erdos-Lax and Turan-type inequalities for constrained polynomials and also produce various inequalities that are sharper than the previous ones known in a very rich literature on this subject.Development of images segmentation using image thresholder and batch processing technique on the blood smears
https://ijnaa.semnan.ac.ir/article_6810.html
Image segmentation is an important part of image processing, and one of the most common approaches is threshold segmentation. A new segmentation technique with each pixel in the image has its own threshold is developed in response to the fact that standard threshold-based segmentation algorithms only establish one or many thresholds, making it difficult to extract the complex information in an image. This work employs image segmentation tools to examine images of thin blood smears data set. The goal is to explore options for a noniterative-based and automated system for detecting parasites in blood smears. This can be achieved by detecting the presence of a parasite in thin blood smears and quantifying the portion of red blood cells in the sample that are infected. First, we try segmenting the individual red blood cells from the background using the color thresholder. Next, we clean up the obtained cell mask and examine cell properties using the image region analyzer function, which allows quickly filling in region holes and filtering out regions based on their properties such as area dimensions or eccentricity. Then quickly gauge and specify the expected diameter range of the cells in pixels and indicate that the circles are dark relative to the background. Finally, we've combined the code for finding circles matching image histograms and the parasite threshold detection logic into a single function to quickly examine the performance of this function on the other images using the image batch processing technique. The proposed detection function labels the detected cells with blue circles the parasites are marked in red and the infected cells are highlighted in green. The proposed algorithm has appropriately compensated for the variability in image quality.Optimality conditions for multi-objective interval-valued E-convex functions with the use of $gH$-symmetrical differentiation
https://ijnaa.semnan.ac.ir/article_6812.html
In this paper, we introduce and discuss multi-objective interval-valued E-convex programming using gH-symmetrical differentiability. We prove nonlinear optimality conditions of Fritz John type for this context and construct an example to verify our results. Furthermore, we define LU-sE-pseudo convexity and LU-sE-quasi convexity for interval-valued functions and study some of their properties.Dynamic network data envelopment analysis model grounded on game theory
https://ijnaa.semnan.ac.ir/article_6505.html
Among the most significant management and policy-making elements is improving the efficiency of businesses and companies active in various parts of the industry, as well as management processes and systems. Various methods and models have been proposed to measure the efficiency of firms, processes and systems in a sector. One of the most important models used is network data envelopment analysis, the most widely utilized in measuring the efficiency and productivity of businesses, processes and systems. This is founded on mathematical programming and moreover is among the most powerful techniques for performance evaluation and optimization. In this study, while mathematically modeling and measuring the performance of the study sample, utilizing dynamic network data envelopment analysis, a suitable model for measuring performance, taking into account the stability of the conditions, was designed to be a framework for leading the system to higher objectives. Via utilization, it provides the basis for improving and reducing the adverse effects of the system. Therefore, the data envelopment analysis model in this research is designed as a framework for measuring, analyzing and promoting activities at the network level with the game theory approach as well as in uncertain conditions. Executives/managers will be able to understand the strengths and weaknesses of the system to strengthen and eliminate existing weaknesses plus undertake requisite planning and actions.Classification of lung cancer histology using CT images based on convolutional neural network-CNN
https://ijnaa.semnan.ac.ir/article_6847.html
In the field of medical imaging, interest in deep learning as a talented new discipline and a key component is growing rapidly. In lung cancer, the histology of tumours is a key predictor of therapy response and outcome. The most accurate way to classify histologies is through a pathologist's examination of tissue samples. Early tumour detection and therapy are essential for patients' recovery. For the purpose of identifying illness signs and risk stratification, recent developments in machine learning, medical image processing, and the use of radiologic data are highlighted. Regarding lung cancer and its various subtypes, it is error-prone and time-consuming to identify and differentiate. Convolutional Neural Networks can more accurately and quickly diagnose different types of lung cancer, which is essential for choosing the best treatment plan and patient survival rate. This research is concerned with both malignant (tumour) and benign tissue cell carcinomas. A training accuracy of 98.60 percent is obtained for the classification system of the suggested system, which is superior to that of both classic neural networks and the CNN model.Fixed point theorems for modified generalized F-contraction and F-expansion of Wardowski kind via the notion of $\psi$−fixed point
https://ijnaa.semnan.ac.ir/article_6873.html
In this manuscript, we introduce generalized ($\mathfrak{f^{*}},\psi)$-contraction of kind (S) and use this concept to establish $\psi$-fixed point theorems in the frame of complete metric space. Secondly, we introduce new notion of generalized($\mathfrak{f^{*}}, \psi)$ expansive mapping of kind (S) and utilize the same to prove some fixed point results for surjective mapping satisfying certain conditions. Our results improve the results of [8], [10] and [14] by omitting the continuity condition of $F\in \Im$ with the aid of $\psi$-fixed point. We also give an example which yields the main result. Also, many existing results in the frame of metric spaces are established.Evolving trees for detecting android malware using evolutionary learning
https://ijnaa.semnan.ac.ir/article_6874.html
Android smartphone platforms have grown rapidly and become ubiquitous due to the fact that they have opened up new possibilities in every aspect of modern life. However, as a consequence of their widespread, such systems suffer an increasing frequency of malware attacks. New malware or modifications to existing malware are increasingly being used by attackers in such operations. Security researchers deal with a continually evolving threat environment that is broad, complicated, and ever-changing. Conventional detection methods failed to adequately protect such systems and so the security industry has started to detect systems that use machine learning techniques are becoming more common. In this work, we used an evolutionary algorithm to identify malware targeting Android smartphones. In order to evaluate our system, we compared it to different state-of-the-art algorithms. Finally, we demonstrated our proposed method's ability to detect zero-day malware. Obtained results show that our method achieved 99.11\% detection accuracy, and is well-suited for detecting zero-day malware.A study on the payback period of building energy consumption optimization in different situations
https://ijnaa.semnan.ac.ir/article_6876.html
Buildings are the main pillars of social and economic development of countries and they consume a huge amount of energy and natural resources. This energy consumption is 30-50% on average. The present study aims to investigate the effect of the locations of buildings around neighboring buildings and pathways on the payback period of optimization. The research scope includes common residential apartments in Tehran. According to the research method, we consider 6 similar residential blocks in different lighting situations. Using simulation in Design Builder software, we calculate their energy consumption and then optimize their energy consumption. The optimization variables are as follows: the material of the outer wall (clay or LECA) and the fa&ccedil;ade (stone or brick), the type of window glass (plain or low-emissivity), the type of gas between the layers of the window glass (air or argon), and the ratio of the window to the surface of various directions the building. The optimization goals include the minimization of energy consumption and construction cost. Design Builder software and genetic algorithm are used to optimize the variables. After optimization, the 6 selected optimized blocks are then calculated in the simulation software and their energy consumption is calculated and compared with the results before optimization. The research results indicate that the mean reduction in energy consumption is 77% in the northern blocks, 65.2% in the southern blocks, and 71% in all blocks, and the optimization results in the northern blocks are about 12% better than the southern blocks. Given the proposed optimization changes, we calculate and compare the increase in the construction cost of each block. The results indicate that the mean increase in the construction cost is 1.6%&nbsp; in the northern blocks, 2.7% in the southern blocks, and 2.2%&nbsp; in all blocks, and the increase in the costs of building northern blocks is about 1.1% less than southern blocks. According to the prices of electricity and gas in Iran, we measure the annual energy cost saving and the results indicate that the payback period of optimization is about 7.7 years in the northern blocks, 13.8 years in the southern blocks, and 10.8 years in average, and the calculations indicate that if the mean global energy prices prevail in Iran, this time reduces to 6 months.The application of tensor ring and tensor train completion to image recovery
https://ijnaa.semnan.ac.ir/article_6877.html
Tensor completion has numerous applications in digital image processing such as image recovery and video overlay. In this paper, we consider two new approaches to tensor completion. Efficient low-rank tensor with tensor train and tensor ring for image recovery, some basic concepts about tensor algebra and completion problems are presented, after that Tensor completion based on the tensor train and tensor ring are offered and implemented on some examples for image recovery with different observed ratios. The results of these implementations are compared and final results are proposed.Identifying the infection rate of covid-19 and using artificial intelligence to distinguish between covid-19 and pneumonia
https://ijnaa.semnan.ac.ir/article_6878.html
There is a growing trend in early detection and diagnosis of COVID-19 for effective and accurate treatment. Several specialized studies have been conducted to develop programs that help in accurate diagnosis and reduce the burden on experts and specialists in this field. This paper describes an automated detection method for COVID-19 using deep learning techniques and computerized tomography images of the chest region. The images were initially optimized as a first step, and then a diagnostic process was performed to determine whether the lung had pneumonia, COVID-19, or healthy using the CNN algorithm. In addition to diagnosing the infection, the lung area was subsequently separated from the CT images for use in performing the final stage of determination of the ratio of COVID-19 infection in the lung and classified according to the ratio of infection rate to three stages (mild, moderate, severe). It is worth mentioning that the proposed system was trained on a database that contained 10,000 images of COVID-19, 10,000 pneumonia, and 10,000 healthy lungs. The proposed system diagnosed COVID-19 with an accuracy of 99.7 and an F1 score of 99.7.Some new Ramsey families on natural numbers
https://ijnaa.semnan.ac.ir/article_6881.html
In this paper, we present some new Ramsey families by using the van der Waerden theorem and affine topological correspondence principle.On various types of cone metric spaces and some applications in fixed point theory
https://ijnaa.semnan.ac.ir/article_6883.html
This paper gives a study of various types of cone metric spaces and their topological characterizations. Contrarily to the case of cone metric space $X$, the paper shows with examples that the limit of a sequence may not be unique in the topology generated by partial cone metric $T_{p}$ and $(X, T_{p})$ is not generally Hausdorff topological space and also the cone valued partial metric mapping $p$ may not generally be continuous. Hence $T_{p}$ is not equivalent to any topology generated by any metric on $X$. Furthermore, the paper considers some generalized contraction types of mappings on $\theta$-complete cone metric-like spaces and then generalizes some coupled fixed point theorems of some previous results in this setting.Identification and prioritization of determinants of the interaction between lean production management stakeholders ``Case study: The National Iranian Oil Company"
https://ijnaa.semnan.ac.ir/article_6890.html
The present study aimed to identify and prioritize determinants of the interaction between lean production management stakeholders in the National Iranian Oil Company. The statistical population consisted of all key experts in the field of National Iranian Oil Company and the statistical sample included 25 experts of the National Iranian South Oil Company who were selected using the purposive sampling method. To analyze the data obtained from interviews and questionnaires, the most important criteria and key sub-criteria affecting the supply chain were first localized using Saaty's Delphi method, and then the relationships of the factors were determined using the Fuzzy DEMATEL method and with the help of experts, and the criteria and sub-criteria were ranked. MATLAB software was also utilized for data analysis. In this research, the initial framework of the stakeholder interaction management model was created using the dynamic game theory approach in the lean management process, and their solutions were compared in three game scenarios, namely Nash, Stackelberg, and cooperative scenarios. Based on the research results, the correct layout was the most effective criterion, and up-to-date and efficient equipment was the most affectable sub-criterion. Among the main criteria, logistics ability was the most effective criterion, and financial ability was the most affectable criterion. In terms of interaction, new production items had the highest interaction and correct layout had the lowest interaction. The highest interaction of the main criteria was related to experience and the least was related to production ability. Based on the results, the producer preferred to choose the Stackelberg game with the suppliers and act as a leader and make decisions independently from the suppliers in the present study, thereby, obtaining more profit and production, and then more popularity among people.A new deep learning model to reduce Covid19-based face mask detection
https://ijnaa.semnan.ac.ir/article_6891.html
The COVID-19 pandemic of the coronavirus is a serious health threat. Governments are taking specific protections, including lockdowns and the need that face masks to be used. Wearing a protective cover is one of the most efficient ways to fight the disease. Due to this reason, offerings are the detection of face masks that can be utilized by specialists to create moderation, prevention, and assessment. According to the recommendations of the World Health Organization (WHO), the best important prevention strategy is using a facial mask. Hence, the need of wearing a mask is so important to save our lives and also protect others appropriately in open places including shopping malls and general stores. Reports demonstrate that face mask wearing whereas at work clearly diminishes the chance of spread. This paper presents a rearranged approach to obtain this reason by utilizing machine learning for detecting face masks. A dataset is utilized to construct this detector of the face mask. Via computer vision techniques and algorithms using deep learning the goal can be achieved. It includes the architecture of the MobileNet model that is trained with Tensorflow and Keras libraries. In this paper, Jetson tx2 was utilized to implement a real-time face masks automatic detection that is embedded and powerful, running on an embedded system at a higher frames-per-second rate (FPS) based on IoT. The proposed system aids in monitoring, taking images, and identifying persons who were not wearing masks. Additionally, we employed IoT strategies to transmit the images and alerts to the closest police station so that forfeit could be applied when it discovered unmasked persons. We used an actual dataset to train our model, and this improvement makes the recommended approach possible to seek a high level of accuracy rate of unmasking people our model trained on the real datasets and this improvement makes the proposed model urge a high accuracy in the detection of unmasking persons.Stability of maximum preserving in multi-Banach lattice by fixed point method with some of homogeneity properties
https://ijnaa.semnan.ac.ir/article_6892.html
In this research work, we demonstrate the Hyers-Ulam stability for functions that are homogeneous of degree $k$, in multi-Banach lattice by fixed point method.Designing a model for selecting a company growth strategy based on market and product success forecasts by comparing FIS and ANFIS methods
https://ijnaa.semnan.ac.ir/article_6893.html
Company growth is an important factor in economic growth. Specifically, high-growth companies have attracted considerable attention in governments and political societies, mostly in advanced countries [52]. The role of small and medium-sized enterprises (SMEs) in developing countries is critical due to their capability to respond to systematic economic shock and their potential to create a job [35]. While the literature in this area indicates the high importance of SMEs in the economy of the countries, the growth of these companies is important too. So many discussions are generated in the area of small and SMEs' growth due to the importance of these enterprises. In this regard, company growth theories were always considered an important factor in the evolution of commercial literature. The variety of influential factors on the company growth is the characteristic of literature relevant to the area that tries to explain influential factors on the company growth [44]. Given the diversity of the economic and cultural environment, there is no agreement on the influential factors on the growth of the companies.Multiple solutions of a class IBVPs for one-dimensional nonlinear wave equations
https://ijnaa.semnan.ac.ir/article_6894.html
The purpose of studying the discipline of nonlinear wave processes is to knowledge of the current state of nonlinear wave problems in mechanics and an understanding of its main problems, as well as to develop general skills for solving these problems using new methods of mathematical. We consider a class of initial boundary value problems for one-dimensional nonlinear wave processes. A new topological approach is applied to prove the existence of at least two nonnegative classical solutions. &nbsp;The arguments are based on a recent theoretical result.An explanation of causes of business failure based on audit report disclosure, audit variables, and corporate governance mechanisms from the perspective of senior managers in companies listed on the Tehran Stock Exchange
https://ijnaa.semnan.ac.ir/article_6895.html
The present research aimed to investigate the explanatory roles of audit report disclosure, audit variables, and corporate governance mechanisms in explaining the causes of business failure in companies listed on the Tehran Stock Exchange from the perspective of company managers. To this end, 249 senior managers from companies listed on the stock exchange were selected using convenience and purposive sampling methods, and a researcher-made questionnaire was emailed to them. The present research had a survey-causal type. The data collection tool included a researcher-made questionnaire that evaluated the roles of three main research variables in explaining the causes of business failure. The validity and reliability of the research tools were confirmed. Analysis of data was performed in SPSS and LISREL (through confirmatory factor analysis). The audit report disclosure about negative working capital (among the audit report disclosure variables) with a coefficient of 6.68, auditor tenure (among the audit variables) with a mean coefficient of 6.05, ownership concentration (corporate governance mechanisms) with a mean of 3.86 had the highest importance and impact in explaining the causes of business failure. In general, audit variables with a coefficient of 2.29 had the highest importance and impact in explaining the causes of business failure. The results of structural equations indicated that the business failure model was valid based on three main research variables. Furthermore, all three variables played significant roles in explaining the causes of business failure.Sustainable urban design and the future of heritage cities
https://ijnaa.semnan.ac.ir/article_6896.html
Heritage cities suffer today from many challenges and urban transformations represented by economic and social stagnation, loss of urban identity, demographic changes, technological developments, and environmental and health challenges. It is necessary to deal with heritage cities in accordance with the principles of sustainable urban design and in a manner that suits the conditions of cities by choosing the appropriate and correct strategy from sustainable urban design strategies for the purpose of making them sustainable and vibrant in the future and branding place globally while preserving the imprint of the place in it. Thus, the research problem was identified (difficulties related to the appropriate and correct selection of sustainable urban design strategies in the future of heritage cities). The study dealt with the case study with the analysis of the Hafsia quarter in Tunisia, with the possibility of benefiting from it in other heritage cities, including the Iraqi cities, due to the challenges and urban transformations they are exposed to, and to conserve their cultural identity and place an imprint on them. The research found the possibility of mixing sustainable urban design strategies according to the economic, social, environmental, cultural and physical conditions of each area, with the effectiveness of the sustainable urban regeneration strategy for being a comprehensive and complete approach and providing effective solutions appropriate to the conditions of heritage cities.Space-time Muntz spectral collocation approach for parabolic Volterra integro-differential equations with a singular kernel
https://ijnaa.semnan.ac.ir/article_6897.html
We consider a type of Volterra integro-differential equations of the parabolic type that arise naturally in the study of heat flow in materials with memory. We present a simple and accurate numerical method for problems with a weakly singular kernel subject to an initial condition and given boundary conditions. In this method, both the space and time discretizations are based on the Muntz-Legendre collocation method that converts the problem to a system of algebraic equations. For numerical stability purposes, the Muntz-Legendre polynomials and their partial derivatives are stated in terms of Jacobi polynomials. Moreover, to deal with the weakly singular integral term of the problem, two efficient schemes based on the integration by parts and nonclassical Gaussian quadrature are derived. Comparisons between the two proposed schemes and other methods in the literature are made to demonstrate the efficiency, convergence and superiority of our method in the space and time directions.Provide an audit quality model based on general health, spiritual intelligence and auditor's locus of control with the structural equation modeling approach
https://ijnaa.semnan.ac.ir/article_6898.html
The aim of this study was to provide an audit quality model based on general health, spiritual intelligence and auditor's locus of control with a structural equation modeling approach among auditors who are members of the Iranian Society of Certified Public Accountants working in Tehran-based auditing firms. The sample size was 182 people who had fully answered the questionnaire. Also, the sampling adequacy test based on the factor analysis method to determine the adequacy of the statistical sample was at a desirable level. The data collected by the questionnaires were analyzed by SPSS and Smart PLS software using structural equation modeling. Analysis of research hypotheses using structural equation modeling at a 95% confidence level showed whether the auditors' general health dimensions including physical symptoms, anxiety symptoms, social functioning and depressive symptoms have a positive and significant effect on the audit quality in the proposed model. The dimensions of auditors' spiritual intelligence including critical existential thinking, constructing personal meaning, transcendent awareness and expanding the quality of awareness have a positive and significant effect on the quality of auditing in the proposed model. The dimensions of the auditor's locus of control, including the internal locus of control and the external locus of control, have a positive and significant effect on the quality of the audit in the proposed model. Finally, it can be said that with the promotion of public health, spiritual intelligence and the locus of control, the quality of auditing increases.Blockchain simulation model for a communication system in IoT devices
https://ijnaa.semnan.ac.ir/article_6899.html
Blockchain technology has drawn in a ton of consideration from specialists, designers, and organizations lately, and its execution has revived interest in various applications, including e-finance, e-medical care, savvy homes, the Internet of Things, government-managed retirement, coordinated factors, and others. Most of the blockchain-related examinations in the writing have been viewed as designing execution centred, with hypothetical framework investigation getting undeniably less consideration; in any case, the current work is simply ready to show the mining system. For better comprehension of the functional and hypothetical elements of the blockchain, a &nbsp;model in view of the lining hypothesis is advanced in this review. In this article, we have explored the joining of IoT with blockchain technology and gave a top to bottom investigation of the blockchain-empowered IoT and IIoT frameworks. The cutting-edge research is arranged into information capacity and the executive's method, enormous information and distributed computing procedure (money and information inspecting), and modern areas (store network, energy, and medical services area). The sagacious conversation in view of the various classifications is likewise introduced in the paper.The effect of weight control and weighing method of efficiency in data envelopment analysis
https://ijnaa.semnan.ac.ir/article_6900.html
Data Envelopment Analysis (DEA) determines the efficiency of decision-making units. Weight restrictions in a model with weight restrictions (WR) are considered to determine the efficiency of units, depending on the importance of indicators (inputs and outputs). Since weight plays an important role in the efficiency and ranking of options, in this paper we examine the effect of the type of weighting method of indices in the calculation of the efficiency of decision-making units. It should be noted that change is not applied in decision-making units but in the weighting method in order to understand the effect of different weighting methods in the calculation of efficiency: that is, the efficiency of a unit is calculated with a variety of weighting methods and the impact of the type of weighting method on the indicators is evaluated in the calculation of the efficiency of that unit. In this study, we showed that the efficiency of each unit is affected by weighting methods and that the efficiency of each unit at each change in the weighting method assigns a different value to itself.Present the policy model of Iranian saffron export marketing management
https://ijnaa.semnan.ac.ir/article_6901.html
Today, export growth for countries is a key to re-creating the economy. Export development is at the top of government priorities and policies in almost all developing countries. Furthermore, there is an ever-increasing awareness and attention to the importance of exports in developed countries. Accordingly, this paper attempts to identify and design the export marketing model of Iranian saffron. The statistical population consisted of business management and management experts. Sampling was performed by the purposive sampling method. A sample of 15 subjects was selected at the saturation stage. Data was collected through an open interview. The question items were determined based on the research objectives. The interview analysis showed that the model presented qualitatively includes nine main categories of marketing measures, macro strategy, micro strategy, limiting factors, facilitators, internal factors, external factors, and short-term and long-term consequences. The results show that the presented model can be used as a basis for Iranian saffron export marketing.Existence and multiplicity of global classical solutions for approximate long water wave (ALWW) equations
https://ijnaa.semnan.ac.ir/article_6902.html
In this paper, we investigate the Cauchy problem for long water wave equations for the existence and nonuniqueness of global classical solutions. We give sufficient conditions on the initial data of the considered equations that guarantee the existence and multiplicity of nonnegative global classical solutions. For this goal, a new topological approach to the fixed point theory of the sum of two operators in Banach spaces is used.The effect of economic growth and misery index on income inequality in Iran (Autoregressive Distributed Lag (ARDL))
https://ijnaa.semnan.ac.ir/article_6903.html
Improving people&rsquo;s quality of life and increasing the level of public welfare are among the goals defined by different governments around the world. In meeting such goals, reducing income inequality is one of the factors that play a major role. Therefore, it is of high significance to figure out the factors related to income inequality. The present study was conducted to investigate the relationship between income inequality, economic growth and misery index in Iran, and in this regard, time series data related to the years 1971-2019 have been used. The income inequality index in the present study is the Gini coefficient and to estimate the research model, Autoregressive Distributed Lag (ARDL) method has been used. The results indicated that increasing as the misery index increases, income inequality in Iran will increase as well. Moreover, the ratio of real government spending to real GDP and economic growth has a positive effect on increasing inequality and the ratio of total real investment to real GDP and a dummy variable for revolution have a negative effect on income inequality.Adaptive trainer for multi-layer perceptron using artificial gorilla troops optimizer algorithm
https://ijnaa.semnan.ac.ir/article_6904.html
This paper utilized a newly proposed algorithm based on meta-heuristics for the training of multilayer perceptrons (MLP) that was developed using the idea of artificial gorilla troops optimizers. The precision and consistency of the proposed method's convergence as performance metrics. The Artificial Gorilla Troops Optimizer (GTO) was recently proposed for use in training MLP, and it employs the five most common classification data sets currently available( XOR, balloon, heart Iris, breast cancer) in the California University at Irvine UCI Repository. The newly Optimizers (GTO) are used for the first time as a Multi-Layer Perceptron (MLP) trainer, and its results are compared to those obtained using the more established grey wolf optimization (GWO), the whale optimization algorithm (WOA), and the sine cosine algorithm (SCA). Previously, GTO was used to determine the best weights and biases for the optimal solutions.Penalized least squares optimization problem for high-dimensional data
https://ijnaa.semnan.ac.ir/article_6905.html
In many applications, indexing of high-dimensional data has become increasingly important. High-dimensional data is characterized by multiple dimensions. There can be thousands, if not millions, of dimensions in applications. Classic methods cannot analyse this kind of data set. So, we need the appropriate alternative methods to analyse them. In high-dimensional data sets, since the number of predictors is greater than the sample size, it is generally impossible to apply classical methods to fit a efficient &nbsp;model. A popular method for combating the challenge of the high-dimensionality curse is to solve a penalized least squares optimization problem, which combines the residual sum of squares loss function measuring the goodness of the fitted model to the data sets with some penalization terms that promote the underlying structure. So, the penalized methods can analyse and provide a good fit for the high-dimensional data sets. In this paper, we express some of these approaches and then, apply them to the eye data set for investigating the computational performance of the proposed methods.Fixed point theorems for generalized orthogonal F-contraction and F-expansion of Wardowski kind via the notion of $\psi-$fixed point
https://ijnaa.semnan.ac.ir/article_6906.html
In this manuscript, we introduce generalized orthogonal ($\mathfrak{f^{*}}, \psi)$-contraction of kind (S) and use this concept to establish $\psi$-fixed point theorems in the frame of O-complete orthogonal metric space. Secondly, we introduce the new notion of generalized orthogonal ($\mathfrak{f^{*}}, \psi)$ expansive mapping and utilize the same to prove some fixed point results for surjective mapping satisfying certain conditions. Our results extend and improve the results of&nbsp; [3] and [7] by omitting the continuity condition of $F\in \Im$ with the aid of $\psi$-fixed point. We also give an illustrative example which yields the main result. Also, many existing results in the frame of metric spaces are established.Use of ISM technique to designing human capabilities development model
https://ijnaa.semnan.ac.ir/article_6907.html
Man is the tool of development, the axis and goal of development. Human resources are the greatest potential and the most important resource in organizations and institutions, so the most important role in the development of any institution is to identify the human capabilities of that institution. The main approach in this research is to build a multi-level structural model using the practical experience and knowledge of experts, which is extracted by breaking down a complex system into several subsystems. In the qualitative part, the fuzzy Delphi technique and taxonomy model originating from the fuzzy mean method have been used to identify, screen and evaluate the variables, and in the quantitative part, the (ISM) and (SEM) techniques, as well as the (MICMAC) diagram, have been used to analyze the power of penetration and dependence of research variables. The validation of the model has been derived from the partial least squares (PLS) method and from three indices: AVE, CR and Cronbach's alpha. In this study, to fit the structural model, the coefficient of determination index $(R^{2})$, the Stone-Geiser index $(Q^{2})$ and the goodness of fit index (GOF) have also been used. The results of bootstrapping at the level of 5\% error, assuming that the value of the bootstrapping statistic t-value is greater than 1.96, indicate the correlations observed and the significance of the Variables in the proposed model.Determining the importance of the variables influencing financial reporting quality using the fuzzy analytic hierarchy process
https://ijnaa.semnan.ac.ir/article_6908.html
The main goal of this study was to determine the weights of variables affecting financial reporting quality in Iran using the analytic hierarchy process based on fuzzy logic. First, the cause and effect relationship between factors was identified using the DEMATEL method. According to this analysis, the most important variables of reporting quality are information disclosure, management ability, corporate governance, audit committee, audit quality, information asymmetry, internal control system, stock exchange rules and regulations, and conflict of interest. The importance of these variables was determined using the fuzzy analytic hierarchy process. In general, management ability is the most important financial reporting variable, and audit committee and conflict of interest are also important. Management ability is also very important to audit quality, information disclosure, corporate governance, and internal control system. The audit committee and conflict of interest are very important to information disclosure and the internal control system, respectively. A noteworthy point in this study is that the role of network relationships was such that the corporate governance variable showed itself to be completely dependent on management ability.Fixed point theorems in intuitionistic fuzzy $b$-metric like spaces
https://ijnaa.semnan.ac.ir/article_6911.html
The aim of this manuscript is to introduce the concept of intuitionistic fuzzy $b$-metric-like spaces and discuss some fixed point results to certify the existence and uniqueness of a fixed point. Non-trivial examples are imparted to illustrate the viability of the proposed method.The impact of commercial press notifications on real earnings management
https://ijnaa.semnan.ac.ir/article_6912.html
Nowadays, financial information is an important strategic tool in economic decision making and certainly, the quality of decisions depends on the accuracy, precision and timeliness of the information. The commercial press has an important role in disseminating information to market participants and affecting the financial performance of companies. From the investors' point of view, covering the news related to earnings announcements and raising capital by the commercial press is so important, because of their help to assess the future perspective of the company. In order to investigate the effect of commercial press notifications on earnings management based on accruals, the data of 147 manufacturing companies listed on Tehran exchanges and the OTC market from 2011 to 2019 are examined and tested through panel data. The results show that there is a negative and significant relationship between raising capital and earnings announcement news coverage by the commercial press and real earnings management. However, there was no significance in examining the role of commercial press publishing in raising capital and earnings announcements on real earnings management. It was found that there is a negative and significant relationship between the creating role of the commercial press in earnings announcements and real earnings management. Also, there was no relationship between the creating role of the commercial press in raising capital and real earnings management.A new reproducing kernel method for solving the second order partial differential equation
https://ijnaa.semnan.ac.ir/article_6913.html
In this study, a reproducing kernel Hilbert space method with the Chebyshev function is proposed for approximating solutions of a second-order linear partial differential equation under nonhomogeneous initial conditions. Based on reproducing kernel theory, reproducing kernel functions with a polynomial form will be erected in the reproducing kernel spaces spanned by the shifted Chebyshev polynomials. The exact solution is given by reproducing kernel functions in a series expansion form, the approximation solution is expressed by an n-term summation of reproducing kernel functions. This approximation converges to the exact solution of the partial differential equation when a sufficient number of terms are included. Convergence analysis of the proposed technique is theoretically investigated. This approach is successfully used for solving partial differential equations with nonhomogeneous boundary conditions.Fear effect on a delayed intraguild predation model with the ratio-dependent functional response
https://ijnaa.semnan.ac.ir/article_6914.html
In this work, we explore the consequences of fear and time delay on the intraguild predation model. Also, the predator consumes its prey in the form of a ratio-dependent type of interaction. We consider the fear in&nbsp;the prey population and the gestation effect on the predator population. We analyze the existence and the local stability of the proposed model without delay near all non-negative equilibrium points. Furthermore, by taking the fear parameter, the condition to satisfy the existence of Hopf-bifurcation near the coexisting equilibrium is derived. Moreover, we also examine the local stability property and Hopf-bifurcation investigation for the corresponding&nbsp;model in the presence of time delay. Some simulation results were also done to support the primary analytical findings.Extended model of financing the construction projects of Islamic Azad University using new financing tools
https://ijnaa.semnan.ac.ir/article_6921.html
One of the important paths of development in any country is the development of financing tools for various projects. There are different methods of financing business activities that different organizations can use for financing. Therefore, the aim of the current research is to present the developed model of financing construction projects of Islamic Azad University using modern financing tools. The statistical population is all employees of the headquarters, financial affairs management, credit affairs management, investment department, managers and vice-presidents of Islamic Azad University, which was conducted in the time period of 2011 using a probabilistic method and 141 people were estimated. In order to collect data, a questionnaire tool was used, which confirmed the face validity and reliability of 93.9% and was analyzed through SPSS and PLS software. According to the opinions of the experts, the results of ranking and importance regarding the new financing instruments, in the order of participation bonds, derivative instruments, futures contracts, Sukuk, mortgage bonds and certificates of deposit, as well as the results of the structural model of Sukuk, have the highest direct effect and future contracts have the least effect. It is about financing the construction projects of Islamic Azad University. The results of the research hypotheses indicate the great impact and role of partnership bonds, derivative instruments, future contracts, sukuk, mortgage bonds and certificates of deposit in the construction projects of Islamic Azad University.On the stability of a two-step method for a fourth-degree family by computer designs along with applications
https://ijnaa.semnan.ac.ir/article_6922.html
In this paper, some important features of Traub's method are studied: Analysis of the stability behavior, obtaining the 4th root of a matrix, semi-local convergence, and local convergence. The stability of Traub's method is studied by using the dynamic behavior of a family of 4th-degree polynomials. The obtained equations are very complex and do not solve with the software. Therefore, we find the results by plotting diagrams and pictures, and then we show the very stable behavior of Traub's method. Then Traub's method is extended to a matrix iterative method for calculating the 4th root of a square matrix. We also present the local and semi-local convergence of the method based on the divided differences, and therefore, the benefits of our approach are more precise error estimation in semi-local convergence and a large ball of convergence in local convergence. We confirm our theoretical results by some numerical examples such as the nonlinear integral equation of mixed Hammerstein type.Evaluation and prioritization of factors determining the strategy of entering international markets by using the method of systematic background review
https://ijnaa.semnan.ac.ir/article_6923.html
This study aims to evaluate and prioritize the determinants of the strategy for entering the international markets. To achieve the goal, the literature and the background of the research were systematically reviewed and 4 important factors, including product features, features of the target market, company features, and exporting features, were identified as the determinants of the exporting strategy in the National Iranian Drilling Co. Then, the identified components were verified using the structural equation modeling by surveying 213 people of the company staff. In the next step, the extracted components were prioritized by 7 managers' ideas of this company using the BWM. The results showed that the most important determinant of the strategy for entering the international market is the product features among the identified components from the managers' view. Then, 3 factors of company features, features of the target market, and exporting features, respectively, were placed in the next categories.Second-order evolution problems by time and state-dependent maximal monotone operators and set-valued perturbations
https://ijnaa.semnan.ac.ir/article_6924.html
The present work is concerned with a class of perturbed second-order differential inclusions driven by state-dependent maximal monotone operators, in the context of an infinite-dimensional framework. To prove our existence theorem, we make crucial use of a compactness type assumption on the domain of the operators and succeed in adapting to the second-order setting a discretization approach. An application of our main result to the theory of quasi-variational evolution inequalities is provided.A risk averse robust portfolio optimization under severe uncertainties by using IGDT approach: Iran Stock Exchange
https://ijnaa.semnan.ac.ir/article_6925.html
Portfolio optimization in finance and economy is more than a mathematical model for improving performance under uncertainty constraints. Practically all organizations seek to create value by selecting the best portfolios that consume the least resources and obtaining high expected portfolio returns and controlling risk. In the context of the portfolio selection problem, severe uncertainties would significantly affect the technical and financial aspects. This paper presents a bi-level information gap decision theory (IGDT) risk averse decision-making tool for robust portfolio optimization problems to help organizations or investors for managing their portfolios and finding the best transactions with severe uncertainty variables (price and return) to process the forecast data generated by the learning prediction method in order to construct the optimal stock portfolios that a target profit is guaranteed. The heuristic solution approach is constructed and the augmented &epsilon;-constraint method is used to solve the proposed bi-level IGDT robust optimization problem. The effectiveness and efficiency of the proposed model are evaluated on the Iranian Stock Market. The results show the efficiency and effectiveness of the proposed model for selecting the best stocks. The Mont Carlo simulation method is applied for the validation of results.Application of a fractional-order financial system with disturbance in encryption and decryption
https://ijnaa.semnan.ac.ir/article_6936.html
This paper focuses on the anti-synchronization of two identical and non-identical chaotic fractional-order financial systems with disturbance observe (FOFSDO), such that the anti-synchronization is discussed with new parameters and disturbance in the slave system by using the nonlinear active control technique. The stability of the scheme is proved by applying the Lyapunov stability method for the error system. The result of anti-synchronization with disturbance is applied in cryptography. Numerical examples and simulation analysis indicate the application and validity of the scheme and considered system.Existence results of quasilinear elliptic systems via Young measures
https://ijnaa.semnan.ac.ir/article_6937.html
This paper is concerned with the following quasilinear elliptic system\[\begin{cases}-\operatorname{div}(a(|D u|) D u)= f(x,u,Du) \qquad \text { in }\; \Omega \\u =0 \qquad \qquad\;\qquad\qquad\qquad\;\;\qquad\text { on }\; \;\partial \Omega,\end{cases}\]where $\Omega$ is a bounded open subset of $\mathbb{R}^n$. By means of the Young measure and the theory of Sobolev spaces, we obtain the existence of a weak solution $u\in W_{0}^{1,p}(\Omega;\mathbb{R}^{m})$.Planning an analytical model for assessing supply chain resilience to various types of risks: Case study of Iran petrochemical industries
https://ijnaa.semnan.ac.ir/article_6939.html
The examination aims to create and test a scientific model for strength appraisal of production network chances against the dangers of framework and its individual levels. In such manner a multi-technique research approach is received as follows: By utilizing information envelopment investigation (DEA) and fluffy set hypothesis, a fluffy organization DEA model has been proposed to survey danger in generally supply chains and their individual levels. The proposed model is tried by studying of 130 individuals in specific petrochemical organizations in Iran. The overview results show a generous variety in flexibility evaluations between the general petrochemical supply chains and their individual levels. The examination aims to create and test a scientific model for strength appraisal of production network chances against the dangers of framework and its individual levels. In such manner a multi-technique research approach is received as follows: By utilizing information envelopment investigation (DEA) and fluffy set hypothesis, a fluffy organization DEA model has been proposed to survey danger in generally supply chains and their individual levels. The proposed model is tried by studying of 130 individuals in specific petrochemical organizations in Iran. The overview results show a generous variety in flexibility evaluations between the general petrochemical supply chains and their individual levels.Some novel tripled fixed point results in ternary algebras
https://ijnaa.semnan.ac.ir/article_6940.html
The purpose of this paper is to provide the concept tripled fixed point theorem in a tripled lattice. For this, we prove that every tripled lattice with the fixed point property is complete.Some new results on zero near rings
https://ijnaa.semnan.ac.ir/article_6943.html
In this paper, we considered investigating some properties of zero near rings and novel results in this regard are obtained. In addition, we defined a zero divisor near ring and studied its relation to the zero near ring. In particular, we investigated some conditions on characteristics of elements of a near ring under which it becomes a zero near ring.The effects of economic sanctions on Iran's employment and economic growth according to the Markov switching model
https://ijnaa.semnan.ac.ir/article_6944.html
The improvement of employment and economic growth is an important economic goal of any country but its achievement is a big challenge without considering the effects of economic sanctions on Iran's economy. Therefore, the present research estimated the direct effect of economic sanctions on employment and economic growth of Iran from 1984 to 2020 using the Markov switching method. The appropriate index was first calculated for sanctions, using the factor analysis method during the target period. After finding the quantitative values of sanctions in different periods, the employment and economic growth models were defined using the Markov switching method. In this regard, employment and economic growth could be divided into two regimes, including Regime (1) with low mean and high standard deviation and regime (2) with high mean and low standard deviation. The results of estimating Markov switching models indicated that sanctions had negative effects on employment but they had no significant effect on economic growth. The results also indicated stable employment in the low regime and economic growth in the high regime.State estimation of T and Chen chaotic dynamics using sliding mode control
https://ijnaa.semnan.ac.ir/article_6946.html
This paper deals with the estimation of the synchronization of two identical systems such as $T$ chaotic systems and Chen chaotic systems. In addition to that, it describes the estimation of the synchronization of one more non-identical system which combines Chen and $T$ systems. The sliding mode control method has been implemented to synchronize two identical systems such as $T$ systems and Chen systems, also the method can be used to synchronize the non-identical chaotic systems, viz. Chen and $T$ systems. The numerical simulation part has been carried out via MATLAB software which strengthens our derived results.The dominance of the contractum over the momentum and vice versa: Evidence from the Iranian capital market
https://ijnaa.semnan.ac.ir/article_6947.html
This study is aimed at investigating the possibility of combining the ranking period and maintenance period of classical momentum and reverse strategies and evaluating the performance of portfolios resulting from hybrid strategies in comparison with classical strategies. For this purpose, using the information of 120 companies listed on the Tehran Stock Exchange in the period 2011 to 2019, the amount of excess return, the explanatory power of excess return by risk factors of the seven-factor model Fama and French and the explanatory power of future return by excess return of each strategy Combined and classical are evaluated and compared. The results show that contraratum (contractionary hybrid strategy), which is ranked as long-term as reverse strategies but maintained in the medium term like momentum strategies, performs better than momentum and reverse strategies. By controlling risk factors (Fama and French seven-factor model), contractionary, reverse and momentum investment strategies in the Iranian capital market are profitable. Finally, the results of the present study support the explanatory power and more predictive power of the excess yield of the contractionary strategy than the classical strategies for future returns. Therefore, the contribution of the present study is to provide evidence of the excess return and performance of the new hybrid strategy are much higher than the classic investment strategies proven in the Iranian capital market.Using many objective bat algorithm for solving many-objective nonlinear functions
https://ijnaa.semnan.ac.ir/article_6948.html
Despite the fact that algorithmic strategies for dealing with Combinatorial Optimization (CO) have been available for a long time, the further application of Evolutionary Algorithms (EAs) to such problems provides a vehicle for dealing with MOPs of tremendous scope. &nbsp;BAT Algorithm with Many Objectives several BAT algorithms based on R2 Distance (MaBAT/R2) are described, which blend the predominance notion with the R2 marker technique. While the R2 Indicator simplifies the multi-objective problem (MOP) by rewriting it as a series of Tchebycheff Approach problems, since this leader decision making uses the Tchebycheff Approach as a criterion, tackling these issues at the same time inside the BAT framework may lead to early converging. Predominance is important in constructing the leader's collection because it allows the chosen leaders to encompass fewer dense regions, avoiding local optima and producing a more diverse approximated Pareto front. 9 non-linear standard functions yielded this result. MaBAT/R2 appears to be more efficient than MOEAD, NSGAII, MPSOD, and SPEA2. MATLAB was used to generate all of the findings (R2020b).A sociological study on determinants of tax culture of photographers and videographers guild in Mazandaran Province
https://ijnaa.semnan.ac.ir/article_6951.html
The present research aimed to sociologically investigate the determinants of tax culture of photographers and videographers guild in Mazandaran province and it had a mixed-method Delphi and survey type. A total of 14 experts and specialists of the tax and finance department of Sari, Qaem Shahr, Zirab, Babol, Amol, and Nur were considered in the Delphi phase, and structural equation modeling and AMOS software were used in the field section to determine the relationships between variables. Among the 1895 trade unions of photographers and videographers in 6 cities, 400 individuals were selected by stratified random sampling to answer 58 researcher-made items of the questionnaire. Cronbach's alpha coefficient was greater than 0.7, indicating the research reliability. The research findings indicated that social factors (the need to teach the importance of taxes at schools and universities, the spirit of legalism in the family, etc.), personal factors (the experience of paying taxes, etc.), organizational factors (the efficiency and effective functioning of the tax organization, etc.), legal factors (enforcement action of tax laws and regulations, etc.), political factors (political stability and security, etc.) and economic factors (tax deferral, economic health, and transparency, etc.) were effective in improving tax culture. Among the 58 variables, the effects of 55 variables were confirmed and three variables, having a legal lawyer, exemption from tax crimes, and appropriate behavior of tax organization employees with taxpayers, were excluded from the research due to their less importance according to experts. The development and strengthening of the tax culture affected the rate of self-declaration and voluntary tax payments by taxpayers.Equivalence relations on approximation theory
https://ijnaa.semnan.ac.ir/article_6962.html
In this paper, we define relations between the best approximation and the worst approximation. We show that these relations are equivalence relations if the sets are Chebyshev or uniquely remotal. We obtain cosets sets of best approximation and cosets sets of worst approximation. We obtain some results on these sets, for example, compactness and weakly compactness. Finally, we consider the semi-inner products (Lumer-Giles) and semi-inner(usual).Description of the A4-graph for elements of order three in certain miscellaneous groups
https://ijnaa.semnan.ac.ir/article_6963.html
Suppose that $G$ is a finite group and $X=\textit{t}^{G}$ &nbsp; be a conjugacy class of an elements of order 3, $ \textit{t}\in G $.The A4-graph, is a simple undirected graph stand for $\textit{A}{_{4}}(G,X)$, whose vertex set X and two vertices $ \textit{x, y}\in X $ are adjacent if they are different and satisfy &nbsp;$\textit{xy}^{-1} = \textit{yx}^{-1}$. In this article, the orbits under the action of $C_{G}(\textit{t})$ on X are analyzed, along with &nbsp;the description of the algebraic structure of the subgroup $&lt;\textit{t,x}&gt;$ &nbsp;such that $ \textit{x} $ is a $C_{G}(\textit{t})$ -orbit representative is provided.Investigating the impact of the financial statement verification triangle on earnings response coefficient in the Tehran Stock Exchange
https://ijnaa.semnan.ac.ir/article_6964.html
Studying the triangle impact of financial statements (financial manager, CEO, and auditor) on earnings response coefficient (ERC), based on economic aspects of information, financial reporting, and accounting system play a vital role in the capital market. So, the present research is an applied, methodological and causal study that aims to investigate the effect of the triangle of financial statement approval on ERC in the Tehran Stock Exchange. The statistical population was composed of the companies listed on the Tehran Stock Exchange out of which 166 companies were selected by the systematic sampling method. The time frame is from 2016 to 2020. This study used a panel data model to investigate the relationship of the triangle sides with ERC and their relationship with ERC in poor accounting conditions. The results showed that any changes in each of the triable sides had a significant effect on ERC. The single, dual, and triple substitution in the confirmation triangle significantly reduced the year-end ERC, and compared to the three replacement sizes, the sum of ERC for dual substitution was greater than that for single and triple substitution. Also, variations in each of the triangle sides under poor accounting conditions had a significant effect on ERC. The single substitution in the confirmation triangle increased ERC, but the dual substitution reduced ERC significantly, but the impact of the triple substitution was not significant.A new approach to generalize metric functions
https://ijnaa.semnan.ac.ir/article_6965.html
This article consists of a new concept of generalized metric space, called $\phi$-metric space which is developed by making a suitable modification in the `triangle inequality. The notion of $\phi$-metric generalizes the concept of some existing metrizable generalized spaces like S-metric, b-metric, etc. &nbsp;It is shown that one can easily construct a $\phi$-metric from those generalized metric functions and the notion of convergence of a sequence on those generalized metric spaces are identical with the respective induced $\phi$-metric spaces. Moreover, $\phi$-metric space is metrizable and its properties are pretty similar to the metric functions. So $\phi$-metric functions substantially may play the role of metric functions. Also, the structure of $\phi$-metric space is studied and some well-known fixed point theorems are established.Providing an effective model on environmental management accounting system in petrochemical and metal industries in Iran
https://ijnaa.semnan.ac.ir/article_6966.html
The purpose of this study was to provide a proposed model affecting the environmental management accounting system in the petrochemical and metal industries in Iran. In order to conduct research, first, by studying the literature and research background with the method of documentary and library studies and the exploratory method, interview questions and research questionnaires have been identified. After analyzing the interviews, in addition to identifying the dimensions and factors affecting the research variables, it is possible to provide a model and conceptual framework for the research. The statistical population of the research in the qualitative sector is all knowledgeable managers in the petrochemical and metal industries and experts in the accounting profession in the country. The analysis consists of two parts: qualitative and quantitative. Interviews were conducted with 15 experts and theoretical foundations of the research, and in a small part of the work, a questionnaire was distributed and collected among 130 employees of petrochemical and metal industry experts. First, the validity and reliability of reagents and constructs were determined using different tests such as mean-variance and Cronbach's alpha. Then, the research variables were examined using the output of software algorithms (SmartPLS 3). These two outputs show the path coefficients between the variables and the value of the t-statistic. Prioritization of effective components on the implementation of environmental management accounting system in petrochemical and metal industries using Friedman analysis of variance showed that the environmental results component has a better rank and has the first rank and the customer environmental cooperation component ranks second and the management component The indoor environment ranks third.Influence of MHD and porous media on peristaltic transport for nanofluids in an asymmetric channel for different types of walls
https://ijnaa.semnan.ac.ir/article_6967.html
This paper's aim is to discuss the influence of nanoparticles and porous media, and magnetic field on the peristaltic flow transport of a couple of stress fluids in an asymmetric channel with different waveforms of non-Newtonian fluid. Initially, Mathematical modelling of the 2-D and two directional flows of a couple of stress fluids with a nanofluid is first given and then simplified beneath the hypothesis of long wavelength and low Reynolds number approximation. After making these approximations, we will obtain associated nonlinear differential equations. Then the exact solutions of the temperature distribution, nanoparticle concentration, velocity, stream function, and pressure gradient will be calculated. Finally, the results that we obtained illustrate graphically.An example for the nonstability of multicubic mappings
https://ijnaa.semnan.ac.ir/article_6968.html
In this paper, we present a counterexample for the nonstability of multicubic mappings. In other words, we show that Corollary 3.5 of [A. Bodaghi and B. Shojaee, On an equation characterizing multi-cubic mappings and its stability and hyperstability, Fixed Point Theory. 22 (2021), No. 1, 83--92] does not hold when $\alpha=3n$.Causal model design from organizational turnaround strategy for small and medium-sized enterprises: Case studies
https://ijnaa.semnan.ac.ir/article_6969.html
The turnaround strategy refers to measures like cost reduction, selling assets and handing over the business with the aim of increasing efficiency, where the aim is to reduce the organizational size. However, there is no agreement regarding the causal relationship between any of the strategies used in organizational turnaround. Accordingly, the goal of this research is to design a causal model out of organizational turnaround for small and medium-sized enterprises (SMEs). Two types of questionnaires namely the identification of main and secondary strategies of organizational turnaround, and interpretive structural modeling were used, which were distributed among the statistical samples after their validity and reliability were approved. One-sample t-test, Confirmatory factor analysis and interpretive structural modeling were used to analyze and interpret the data. The research results show that six strategies of stopping crisis and stabilization of the business, new management, strategic orientation, crisis improvement process, organizational changes and financial restructuring are considered as the main strategies in organizational turnaround in the statistical population. Also, the results show the appearance of new management in fifth place as the main and most important strategy in organizational turnaround.An approximation approach towards a class of integro-differential equation with pure delay
https://ijnaa.semnan.ac.ir/article_6972.html
In this article, we study a new numerical approach to solve some particular class of delay integro-differential equations. The considered problem is a singularly perturbed Volterra integro-differential equation with a pure delay term. To solve such equations numerically we adopt the standard Adomian decomposition method followed by a first-order truncated Taylor approximation. The most appealing advantage of the present method is that it provides an adequate result for a wide scale of values to the perturbation parameter. The efficiency of the proposed method is illustrated with an example. Moreover, a vivid realization of the treatment is described by the theoretical study related to error analysis. Under some relevant assumptions boundedness of solution, and stability analysis are also established in the agreement of the current method. To strengthen our findings, a comparative study between the proposed technique and the well-renowned spline method is presented in the manuscript. Moreover, outcomes suggest the prior efficiency of the method which is also supported by the theoretical results.Memetic algorithm for solving multi-objective assignment problem
https://ijnaa.semnan.ac.ir/article_6973.html
Despite the fact that statistical solutions for dealing with Multi-Objective Assignment Problems (MOAP) have just been available for a long time, the further application of Evolutionary Algorithms (EAs) to such difficulties presents a vehicle for tackling MOAP with an extraordinarily large scope. MOGASA is a suggested multi-objective optimizer with simulated annealing that combines the hegemony notion with a discrete wavelet transform. While decomposition streamlines the multi-objective problem (MOP) by expressing it as a collection of many corresponding authors, tackling these issues at the same time in the GA context may result in early agreement due to the command meanwhile screening process, which employs the Methodology as a criterion. Supremacy is important in constructing the leaders archive because it allows the chosen leaders to encompass fewer dense regions, eliminating local minima and meanwhile producing a more diverse approximating Allocative efficiency front. MOGASA outperforms several decomposition-based growth strategies, according to results from 31 stand meanwhile are MOPs. MATLAB was used to generate all of the findings (R2017b).Meta-analysis of effective factors on the consequences of organizational anomie (Case study of Islamic Azad University)
https://ijnaa.semnan.ac.ir/article_6974.html
The purpose of this research was a meta-analysis of factors affecting the consequences of organizational anomie (the study of Islamic Azad University). For this purpose, after studying the research literature and identifying the factors affecting organizational anomie, they were classified and separated and the components were extracted. Based on the purpose, this research is among applied research and based on descriptive and exploratory nature. In terms of the method, the meta-analysis technique was used to extract the results, which is a type of qualitative study. In this research, articles published in domestic and Latin magazines have been used. In the first stage, 27 studies were collected from reliable databases including Google Scholar, Science Direct and other databases and those articles that had p-value; t-value and other statistics were separated from each other. This number was 25 acceptable articles that were used. According to the findings of this research, one of the most frequent factors affecting organizational anomie is the lack of common norms at work. The second factor is poor leadership and management. The unethical atmosphere in the workplace, social capital, negative attitude of employees towards their job, poor implementation of the employee socialization process and poor communication, organizational culture, the inability of the organization to show its true values, lack of meritocracy in the organization, lack of evaluation system Appropriateness, nepotism and discrimination, non-commitment of managers to the organization's values, technological turbulence, strategic invasion, central competitor and intensity of competition have also been identified as factors affecting organizational anomie. Finally, according to the research results, some suggestions have been provided.Acceptance single sampling plan using generalized intuitionistic fuzzy number
https://ijnaa.semnan.ac.ir/article_6976.html
In the present paper, the acceptance single sampling plan is developed by the generalized intuitionistic fuzzy numbers. The $\alpha_1$-cut and $\alpha_2$-cut sets of the generalized intuitionistic fuzzy numbers are applied to construct the acceptance single sampling plan. We also investigate the operating characteristic curve, where the parameter is considered the generalized intuitionistic fuzzy number. The $(\alpha_1,\alpha_2)$-cut set of generalized intuitionistic fuzzy operating characteristics is constructed. The bands are represented with upper and lower bounds instead of curves for operating characteristics and evaluated in detail. Finally, the numerical example is given to illustrate the proposed approach.Inequalities for the rational functions with no Poles on the unit circle
https://ijnaa.semnan.ac.ir/article_6977.html
Let $\mathcal{R}_{n}$ be the set of rational functions with prescribed poles. It is known that if $r \in \mathcal{R}_{n},$ such that $r(z)\neq 0$ in $ |z|&lt;1,$ then&nbsp; &nbsp; &nbsp;\begin{align*}&nbsp; &nbsp; &nbsp;\sup_{|z|=1}|r^{'}(z)|\leq \frac{|\mathcal{B}^{'}(z)|}{2}\sup_{|z|=1}|r(z)|&nbsp; &nbsp; &nbsp;\end{align*}&nbsp; &nbsp; &nbsp;and in case $r(z)=0$ in $|z|\leq 1,$ then&nbsp; &nbsp; &nbsp;\begin{align*}&nbsp; &nbsp; &nbsp;\sup_{|z|=1}|r^{'}(z)|\geq \frac{|\mathcal{B}^{'}(z)|}{2}\sup_{|z|=1}|r(z)|,&nbsp; &nbsp; &nbsp;\end{align*}where $\mathcal{B}(z)$ is the Blashke product. The main aim of this paper is to relax the condition that all poles of $r(z)$ lie outside the unit circle and instead assume their location anywhere off the unit circle in the complex plane $\mathbb{C}. $ The results so obtained besides the above inequalities generalize some other well-known estimates for the derivative of rational functions $r \in \mathcal{R}_{n}$ with prescribed poles and restricted zeros.Optimal position control of shape memory alloys actuator with nonlinear behavior by using states dependent Riccati equation (SDRE)
https://ijnaa.semnan.ac.ir/article_6980.html
Several studies have been conducted to accurately control the deformation of Shape Memory Alloys (SMAs) as an actuator, however, due to the non-linear relationship between the change of mechanical structure, including stress and strain, they have often been associated with a challenge. In the current study, a wire made of intelligent memory alloy (Nitinol) is used as an actuator of one degree-of-freedom mechanism. In order to observe the operation of the wire under electrical stimuli, a laboratory set-up is implemented. Our main goal is to accurately control the position of this nonlinear system with high precision by using optimal control. So, the nonlinear system equations are extracted and sorted into state-dependent matrices and the State-Dependent Riccati Equation (SDRE) is used to find the optimal control value. To verify the experiment three inputs including multiple steps, a low-frequency sine wave and a high-frequency sine wave, are applied to the system. The results, show the good performance of the controller in sustainability, fast response, and tracking of the desired position with low overshoot.Estimation of parameters of non-linear regression based on PSOGSA algorithm
https://ijnaa.semnan.ac.ir/article_6981.html
Although computational strategies for taking care of Non-linear Regression Based on Hybrid Algorithms (EPNRHA) to Estimation of Parameters have always been available for years, the further application of Evolutionary Algorithms (EAs) to such difficulties provides a framework for addressing a wide range of Multi-Objective Conflicts (MOPs). &nbsp;NRPSOGSA is an Estimation of Parameters of Non-linear Regression Gravitational Search Algorithm with Practical Swarm Optimization that involves the synthesis of hegemony by using the hybrid algorithm (PSOGSA) approach is utilized. Whilst Gravitational Search Algorithm with Practical Swarm Optimization Since the leader hiring process uses the Tchebycheff Strategy as a criterion, simplifying the multi-objective problem (MOP) by rewriting it as a set of Tchebycheff Approach, solving these issues at the same time within the GSA context may lead to rapid resolution. Dominance is important in constructing the leader's library because it allows the chosen leaders to encompass fewer dense places, reducing global optimization problems and producing a more diverse approximated Pareto front. 6 non-linear standard functions yielded this result. PSOGSA appears to be more productive than GSA, PSO, and BAT. All of the outcomes were completed. by MATLAB (R2020b).Design and control strategy of solid state transformer using CHB, MMC and 5-L ANPC multilevel converters
https://ijnaa.semnan.ac.ir/article_6983.html
In this paper, the process of designing and comparing cascaded H-bridge (CHB) converter, modular multilevel converter (MMC), and five-level active neutral-point clamped (5L-ANPC) converter as a solid-state transformer (SST) utilized in the distribution network was investigated. The design was based on 1.7 kV IGBT modules (for CHB and MMC converters) and 3.3 and 4.5 kV IGBT modules (for 5L-ANPC converter). The converters were compared at voltage levels of 6.9, 11, and 20 kV and power levels of 0.5 and 2 MW. As well, when the number of MC voltage levels increases, the complexity of the control system, as well as the control algorithm, increases largely. In order to simplify the control system, a hierarchical control system is designed for these MCs. In the process of designing converters, thermal analysis and selecting smaller parts with lower losses due to enhanced efficiency were considered.On some properties of k-circulant matrices with the generalized 3-primes numbers
https://ijnaa.semnan.ac.ir/article_6985.html
In this paper, we obtain explicit forms of the sum of entries, the maximum column sum matrix norm, the maximum row sum matrix norm, Euclidean norm, eigenvalues and the determinant of a k-circulant matrix with the generalized 3-primes numbers. We also study the spectral norm of this k-circulant matrix.Multiplicative and almost multiplicative maps in probabilistic normed algebras
https://ijnaa.semnan.ac.ir/article_6986.html
Our main purpose of this paper is to study the relationship between multiplicative maps and almost multiplicative maps between probabilistic normed algebras. We first derive some properties of invertible elements and their relation with multiplicative maps. Then we show that every complex homomorphism on elements whose probabilistic norm is equal to 1, is bounded. In the following, we give an open problem about the functionally continuous of unital commutative probabilistic Banach algebra. Finally, we prove that every almost multiplicative map that is not a multiplicative map is continuous.Diagnostic COVID-19 based on chest imaging of COVID-19: A survey
https://ijnaa.semnan.ac.ir/article_6987.html
As of June 24, 2020, the coronavirus infection (COVID-19) has infected more than 9.3 million people and resulted in more than 0.47 million deaths globally. COVID-19 cannot be diagnosed or treated without chest imaging procedures such as computed tomography and X-rays. Due to the highly infectious nature of this disease, radiologists are under continual pressure to diagnose and treat patients. As a possible solution to these issues and to enhance diagnostic accuracy, artificial intelligence (AI)-based image analysis techniques are being investigated. This assessment focuses on the present state of chest imaging analysis techniques using artificial intelligence for COVID-19. Note in particular the imaging analysis methodologies of two common viral types of pneumonia that may be used as a reference for assessing the illness utilizing chest pictures. Examine in deeper depth the progress of AI-assisted illness diagnosis and assessment, finding that AI approaches in this application are extremely useful. Focus on the role of artificial intelligence in the Corona epidemic and analyze the feme dataset utilized in prior studies as well as any relevant articles.Proposing a portfolio optimization model based on the GARCH-EVT-Copula combined approach
https://ijnaa.semnan.ac.ir/article_6990.html
This study aims at optimizing the portfolio of financial assets and in particular focuses on the stock market with conditional value at risk (CVaR) as the portfolio risk measure. This study uses generalized conditional heterogeneity variance methods, the dependency structure, the extreme value theory, and with the GARCH-EVT-Vine-Copula approach to optimize the portfolio and minimize the CVaR of a stock portfolio during a certain period by the re-weighting method. Modeling is based on the performance data of 7 companies among the top 50 listed companies during the period 2015 to 2021. The results show that considering the extreme values and structural dependence between the examined time series improves the risk identification between these markets. In addition, among the studied models, the out-of-sample results for the accumulated wealth function of different models show that when considering the dependence structure, the EGARCH-EVT model based on the Coppola Vine function results outperforms other models.MHD stagnation point flow of Carreau nanofluid over a radially stretching sheet
https://ijnaa.semnan.ac.ir/article_6994.html
The numerical investigation on the flow of Carreau nanofluid past a radially stretching sheet close to a stagnation point along with convective boundary conditions has been considered. Moreover, the radiation effects and magnetic field are examined. In addition to this, the effects of heat generation/absorption are also explored. The conversion of non-linear partial differential equations describing the proposed flow problem to a set of ordinary differential equations has been carried out by employing appropriate similarity transformations. The numerical solution of the proposed flow equations is derived by the shooting method. The impact of pertinent flow parameters on the non-dimensional velocity, temperature and concentration profiles have been illustrated via tables and graphs. The limiting case of the present study affirms that the obtained numerical results reflect a very good agreement with those from open literature.Regulatory quality, rule of law and stock market performance: A system GMM approach
https://ijnaa.semnan.ac.ir/article_6995.html
The stock market has played an undeniable role in economic growth and is a complement to the banking sector in allocating financial resources to manufacturing firms. Hence, the role and importance of the stock market in the economy have always been emphasized. There are several factors that affect stock market returns, one of which is the Rule of the law and the Regulatory Quality of countries. Therefore, in this study, the importance of the Rule of the law and the Regulatory Quality on stock returns has been studied in Iran and selected emerging countries in the period 2000-2021 by the system generalized method of moments. The results of this estimate show that at a significance level of 5%, the rule of law and Regulatory Quality have a positive and significant effect on stock returns. Also, the effects of inflation, exchange rate, and growth of industrial production have been positive and significant. The effect of crude oil prices is negative and significant, and trade openness has a positive effect on stock market returns, but this effect is not statistically significant at the significant level of 5%.Use of learning methods for gender and age classification based on front shot face images
https://ijnaa.semnan.ac.ir/article_6996.html
Facial system estimation is a mature and in-depth research technique in age and gender. Estimation accuracy is an important indicator for evaluating algorithms. By using deep learning-based learning (DL) and machine learning, this work provides a robust approach to estimating the type and age of different external environment changes based on two different algorithms, comparing the results, and analyzing the performance of the two algorithms. The algorithm was evaluated using a data set that is considered the basis in this area of the face estimation system, namely (IMDB-WIKI) an image. The basis of the work depends on the external appearance and the front section. The results obtained: DL(Effacint-B3) AGE Accuracy=0.99 Gender Accuracy=0.97 ML(SVM) AGE Accuracy=0.87 Gender Accuracy=0.97.A new subclass of bi-univalent functions associated with q-Chebychev polynomial
https://ijnaa.semnan.ac.ir/article_6997.html
In this article, using the concept of q-analogue, we define a new class of analytic functions associated with Chebyshev polynomial of second kind. Then with the help of symmetric q-Chebyshev polynomial, we introduce and estimating first two Maclaurin coefficients for new subclasses of analytic functions. Also as application of the results, we estimate the relevant connection to the famous classical Fekete- Szeg&ouml; inequality belonging to the class $\tilde{S}_{\Sigma}^{q}(\lambda,\gamma,s).$A recurrent rough polynomial artificial neural network and its biomedical application to the classification of a cardiac patient
https://ijnaa.semnan.ac.ir/article_6998.html
Since the prevalence of cardiovascular disease and consequent mortality has increased, accurate prediction of the disease status of individuals is of great importance. Therefore, models that have the least error and maximum reliability should be used. In recent years, the use of intelligent systems in engineering sciences and mechanics, especially in the prediction of diseases has increased dramatically. The diagnosis of disease by computer systems has become one of the important fields of study for researchers in this field. Diagnosis of heart disease is an attractive and challenging field of research because of the high sensitivity of communities to the death and life of the patient. The use of medical information such as age, gender, blood pressure, blood glucose level, weight, blood cholesterol levels, bio-signal of electrocardiogram, etc. can help physicians in predicting heart disease to prevent the progression of the disease, recurrent heart attacks, and consequently, reduce mortality. This data should be collected in an organized manner and used to integrate the disease prevention and diagnosis system. Evaluating these data and obtaining useful results and patterns in relation to it using data mining techniques and neural networks help to predict the early detection of this disease. This study presents a method of investigating factors influencing heart attacks using the recurrent rough group model of data handling (RRGMDH) neural network. We also compare the results of the proposed method to the results of five model of data handling neural network models, namely long short-term memory (LSTM), gated recurrent unit (GRU), redial basis function (RBF), probabilistic neural network (PNN) and recurrent group model of data handling (GMDH). The results indicate that the proposed method outperforms the five other methods.On generalization and refinements of weighted Majorization theorem, Favard and Berwald inequalities
https://ijnaa.semnan.ac.ir/article_6999.html
In this article, we give generalizations and renements of weighted majorization theorem, weighted Faward and weighted Berwald inequalities for functions with nondecreasing increments of convex type.Compilation and explanation of the leadership brand model in the agricultural industry, the citrus product of the south of the country
https://ijnaa.semnan.ac.ir/article_7000.html
The purpose of the current research was to develop an organizational leadership brand model and to investigate and rank the factors affecting the leadership brand in agricultural products (Case Study: Citrus of Hormozgan Province). This research consists of two main parts: in the first part, in order to select the variables affecting the leadership brand in the field of agriculture, the theoretical foundations of research and library studies have been used and after reviewing the articles published in domestic and foreign scientific sites, four elements of personal characteristics of leadership, cultural elements, brand elements and agricultural infrastructure elements were identified as variables affecting the leadership brand in the field of agriculture, Then, using group decision-making technique in three stages, four elements with 80 indicators were identified as factors affecting the leadership brand in the field of agriculture. The final model was constructed for modeling using the technique of the structural equation. The research plan was a combination that was obtained through qualitative strategies (foundation data) and interviews with 35 managers and experts of the Research Department of the Ministry of Agriculture, the Farmer's House and the Chamber of Commerce, and then, through quantitative strategy, the research hypotheses of the research were calculated as a good test for fitting the model. In the qualitative section, after purposeful sampling, data collection tools were used. In the quantitative part, a questionnaire was distributed among 315 managers and experts in order to investigate the viewpoints of managers and experts of the mentioned organizations and to analyze the data, structural equations model with the PLS approach was used. Four general elements of leadership brand variables including personal elements and characteristics, cultural elements, brand elements and agricultural infrastructure elements were identified and categorized as variables affecting the leadership brand in the field of agriculture. The results of quantitative sector findings showed that each of the four elements of leadership brand has a positive effect on leadership brand in the field of agriculture.$H(.,.)$-$\varphi$-$\eta$-accretive operator with an application to a system of generalized variational inclusion problems in $q$-uniformly smooth Banach spaces
https://ijnaa.semnan.ac.ir/article_7001.html
In this paper, we study a new system of generalized variational-like inclusion problems involving generalized $H(\cdot,\cdot)$-$\varphi$-$\eta$-accretive operators in real $q$-uniformly smooth Banach spaces. We define the resolvent operator associated with $H(\cdot,\cdot)$-$\varphi$-$\eta$-accretive operator and prove it is single-valued and Lipschitz continuous. Moreover, we suggest a perturbed Mann-type iterative algorithm with errors for approximating the solution of a system of generalized variational-like inclusion problems. Furthermore, we discuss the convergence and stability analysis of the iterative sequence generated by the algorithm.Ethical decision making model of certified public accountants based on anticipated regret
https://ijnaa.semnan.ac.ir/article_7002.html
Ethics is vital for the acceptance of any profession in society. Various factors affect certified public accountants&rsquo; decisions. Most people feel regret when they realize a different decision could have led to a better outcome. So not only the outcome of the current decision is important to them, but also the outcome they could have achieved if they had made a different decision. Therefore, the present study introduces an ethical model for certified public accountants based on the anticipated regret. Therefore, this study investigates influential dimensions and qualitative items on the ethical decision of certified public accountants based on anticipated regret. The statistical population includes two groups of experts: theorizing experts (i.e. university professors), and experienced experts (i.e. certified public accountants). Descriptive and inferential statistical methods are used to test the research hypotheses. In order to answer the main question of the research, first, the research items are identified using the fuzzy Delphi method and based on previous research on professional ethics, accounting and financial issues. The SEM method is used to measure the relationships between the research items and after the final data fit, the ethical decision-making model of certified public accountants based on anticipated regret is presented.A new fractional derivative operator and applications
https://ijnaa.semnan.ac.ir/article_7003.html
We introduce a new fractional derivative which obeys classical properties including linearity, product rule, power rule, vanishing derivatives for constant functions, chain rule, quotient rule, Rolle's Theorem and the Mean Value Theorem:$$D^\alpha(f)(t)=\lim _{\epsilon \rightarrow 0} \frac{f\left(t e^{\frac{1}{\Gamma(1-\alpha)}} e^{-\alpha}\right)-f(t)}{\epsilon},$$this definition is comfortable with the classical definition of the Caputo Fractional Operator.Modeling and prediction of bitcoin prices based on blockchain information
https://ijnaa.semnan.ac.ir/article_7004.html
Bitcoin has recently attracted considerable attention in the fields of economics, cryptography, and computer science due to its inherent nature of combining encryption technology, monetary units and blockchain. This paper reveals the effect of neural networks (NNs) by analyzing the time series of the Bitcoin process. We also select the most relevant features from Blockchain information that is deeply involved in Bitcoin&rsquo;s supply and demand and use them to train models to improve the predictive performance of the latest Bitcoin pricing process. In this paper, the purpose of Bitcoin price prediction is to use the combined method of signal decomposition into intrinsic components (EMD) and support vector regression (SVR) algorithms. The proposed method uses the intrinsic component decomposition method as a denoising step in the training data. We conduct an empirical study that compares the proposed method with other linear and non-linear benchmark models on modeling and predicting the Bitcoin process. Our empirical studies show that NN performs well in predicting Bitcoin price time series and explaining the high volatility of the recent Bitcoin price also the Mean Square Error (MSE) of the proposed method is calculated and compared with previous works.On left $\phi$-Connes biprojectivity of dual Banach algebras
https://ijnaa.semnan.ac.ir/article_7005.html
We introduce the notion of left (right) $\phi$-Connes biprojective for a dual Banach algebra $\mathcal{A}$, where $\phi$ is a non-zero $wk^*$-continuous multiplicative linear functional on $\mathcal{A}$. We discuss the relationship of left $\phi$-Connes biprojectivity with $\phi$-Connes amenability and Connes biprojectivity. For a unital weakly cancellative semigroup $S$, we show that $\ell^1(S)$ is left $\phi_{S}$-Connes biprojective if and only if $S$ is a finite group, where &nbsp;$\phi_{S}\in\Delta_{w^*}(\ell^1(S))$. We prove that for a non-empty totally ordered set $I$ with the smallest element, the upper triangular $I\times I$-matrix algebra $UP(I,\mathcal{A})$ is right $\psi_\phi$-Connes biprojective if and only if $\mathcal{A}$ is right $\phi$-Connes biprojective and $I$ is a singleton, provided that $\mathcal{A}$ has a right identity and $\phi\in\Delta_{w^*}(\mathcal{A})$. Also for a finite set $I$, &nbsp;if $Z({\mathcal A})\cap ({\mathcal A}-\ker\phi)\neq \emptyset$, then the dual Banach algebra $UP(I, {\mathcal A})$ under this new notion forced to have a singleton indexNotes on f-hom-ders associated with a system of additive functional equations in unital algebras
https://ijnaa.semnan.ac.ir/article_7006.html
The following system of additive functional equations 2f(x+y)=g(x)+g(y), g(x+y)=2f(y-x)+4f(x) in a Banach algebra was investigated by Paokanta et al. [S. Paokanta, M. Dehghanian, C. Park and Y. Sayyari, System of additive functional equations in Banach algebras (preprint)]. By using the system (A), Paokanta et al. [S. Paokanta, M. Dehghanian, C. Park and Y. Sayyari, System of additive functional equations in Banach algebras (preprint)] also investigated the notion of an f-hom-der in Banach algebras. In this note, we first show that the system of additive functional equations (A) is equivalent to an additive functional equation and then some aspects related to f-hom-ders are discussed. Finally, we present stability results of f-hom ders associated with the system of additive functional equations (A).The investigation of accuracy level prediction of Fintech customers loyalty by using data mining algorithm
https://ijnaa.semnan.ac.ir/article_7007.html
The emergence of mobile applications is forcing ambitious companies hoping to build loyalty for customers&rsquo; brands to rush towards marketing their brand applications. The present research was conducted with the aim of classifying loyal customers and measuring their loyalty level using data mining algorithms. The present research method is based on applied-descriptive and the statistical population included the customers of Asan Pardakht Company which were considered number ten thousand people and with the number of 700,000 transactions. These customers were separated by clustering operation and classified for performing different tests. By using the data of Fintech customers of Asan Pardakht Company, it was attempted by using the decision tree algorithm, in addition, to identifying active customers, to implement this algorithm, a way is made in order to increase customer loyalty and ultimately increase their profitability and create satisfaction among managers. In the present research, by implementing the different stages of Crisp methodology, clustering and testing different artificial intelligence algorithms, the most useful algorithm in order to identify the best customers and also to make them loyal and policies and implementable programs to be formulated in order to increase the satisfaction percentage and finally customers&rsquo; loyalty was explained and mentioned.Integration as a generalization of the integral operator
https://ijnaa.semnan.ac.ir/article_7008.html
Let $\mathfrak{A}$ be an algebra. A \textit{derivation} on $\mathfrak{A}$ is a linear mapping $\delta:\mathfrak{A}\to\mathfrak{A}$ such that $\delta(ab)=\delta(a)b+a\delta(b)$ for every $a,b\in\mathfrak{A}$. As a dual to this notion, we consider a linear mapping $\Delta:\mathfrak{A}\to\mathfrak{A}$ with the property $\Delta(a)\Delta(b)=\Delta(\Delta(a)b+a\Delta(b))$ for every $a,b\in\mathfrak{A}$ and we call it an \textit{integration}. In this paper, we give some examples, counterexamples and facts concerning integrations on algebras. Furthermore, we state and prove a characterization for integrations on finite dimensional matrix algebras.Best proximant for set-valued maps via proximal relations
https://ijnaa.semnan.ac.ir/article_7009.html
We familiarize AM and SAM&minus;contractions involving rational terms to prove the best proximant for discontinuous set-valued maps in partially ordered metric spaces. In the sequel, we demonstrate that completeness of space or subspace is not mandatory for the survival of the best proximant of set-valued maps. Obtained outcomes are unifications, extensions, improvements, and generalizations of some of the widely known results. We provide non-trivial illustrations to exhibit the importance of our explorations.Comprehensive scientometrics analysis of international research in the field of mining tourism potential
https://ijnaa.semnan.ac.ir/article_7010.html
Many countries and governments that seek to achieve economic prosperity and benefit from the power and other benefits derived from it; they consider the tourism industry as a golden opportunity. Considering the vast amount of mines in Iran and stating that mining has many positive and negative effects on the environment due to its vastness. Scientometrics is one of the reliable tools for evaluating materials and information sources and identifying research areas and drawing connections between these areas in the form of a thematic map. Using this technique to gain a comprehensive insight related to the potential of mining tourism for the sustainable development of mines is a new action and provides a comprehensive understanding of published articles and research for researchers. This study, which follows the interpretative paradigm, is a type of descriptive study that was conducted using a systematic review method and using the search terms defined in the web of science database in the title of the articles and in the time period of 1955 to 2022. Published research in the field of mining tourism has been deeply investigated. After searching, screening and qualitative evaluation of studies, the final analysis of 52 articles and in-depth analysis of selected articles showed that the most research in the field of tourism in the field of mining is related to 2020 and China, Australia and Slovakia respectively. They have the highest number of research and communication between authors.Existence of mild solutions for fractional Schrodinger equations in extended Colombeau algebras
https://ijnaa.semnan.ac.ir/article_7011.html
The main crux of this research manuscript is to study the existence and uniqueness of generalized mild solutions for nonlinear Schrodinger equations with singular initial conditions in the extended algebras of generalized functions. The proofs are based on generalized semigroups theory and Gronwall's inequality. As an application, our theoretical results have been illustrated by providing a suitable example.Optimization of raisin sorting machine using genetic algorithm
https://ijnaa.semnan.ac.ir/article_7012.html
Sorting agricultural products refers to grading food and other crops based on size, color, appearance, and other factors such as separating impurities, fruits, and damaged and rotten products. Today, sorting technology and related equipment for grading agricultural crops are progressing in developed countries, which can be found in most large agricultural units. Therefore, initial packaging and transportation of the product are facilitated, and more added value can be provided for farmers. This study aimed to optimize the raisin sorting machine based on a genetic algorithm to increase the quality of raisin grading. Therefore, a seedless white variety of grape samples were randomly selected and prepared from an orchard in Makan, East Azerbaijan, Iran. Digital image processing techniques such as the image processing toolbox in MATLAB were used to extract features from an image for sorting. Other meta-heuristic algorithms such as PSO, differential evolution, and artificial bee colony algorithm were used to evaluate the accuracy of the results. According to the results, the artificial bee colony algorithm had better accuracy than other algorithms, but the convergence speed was lower, and the computational volume was higher. However, the genetic and PSO algorithms had an accuracy almost equal to the artificial bee colony algorithm despite having a higher speed of convergence and lower computational operations, which can be used as the best algorithm in this application. Differential evolutionary algorithms and harmony search require processing in many iterations, and the computation time is not economical. Therefore, the clustering of raisins in industrial units requires high clustering speed and minimum error to avoid discarding or outliers, and genetics and PSO algorithms were acceptable.Adaptive 1-D polynomial coding to compress color image with C421
https://ijnaa.semnan.ac.ir/article_7013.html
Color images, in spite of it, are quick and simple to understand (interpret) by our minds, but digitally suffer from huge byte consumptions that directly affect storage (space) and/or transmission. Color data compression systems are vital to control the enormous size of color data by losing insignificant color data that implies redundancies and manipulating significant color information. This research is concerned with reducing or packing the storage of color visual natural images using color transformation of $YC_bC_r$ base, based on a hybrid spatial-frequency compression technique. The essential part of the source band that proposed compression system constitutes of exploiting the adaptive lossy 1-D polynomial coding for coefficients and Minimize Matrix Size Algorithm (MMSA) for residual. On the other hand, for the non-source bands, the improved hierarchal scalar quantization method called double scalar uniform quantization scheme (DSUQS) is exploited along C421. For testing the performance of the suggested system, four natural color images from two datasets were adopted, the first called (Miscellaneous) and the second called (Kodak) of square sizes either of $(512\times 512)$ pixels. The experimental results showed the superiority of $YC_bC_r$ compared to the well-known standard joint photographic expert group (JPEG) that achieved higher performances where CR between (21-27) and PSNR between (36-38) dB, where CR of JPEG between (16-21) and PSNR (30-33) dB that implicitly means that the proposed system of color transformation base improved on average compared to JPEG with better-perceived quality for the compressed image.A study of functions involving 2j,k-symmetrical points and associated with subordination
https://ijnaa.semnan.ac.ir/article_7014.html
The analytic description of holomorphic mappings is coupled with the functions which map the unit disk to the right half plane. Also, a natural extension of the idea of inequalities between real-valued functions is the concept of subordination between functions of a complex variable. In this study, we make use of some first-order differential subordination and superordination conditions on functions associated with 2j,k-symmetrical points, and determine some already known classes of analytic functions. We're also come up with some sandwich theorems based on specific assumptions about the parameters that are involved in our major findings.The effect of currency shock and monetary policy of the central bank on the production gap during business cycles: LSTAR threshold model approach
https://ijnaa.semnan.ac.ir/article_7015.html
This study aimed to explain the effect of currency shock and the monetary policy of the central bank on the production gap during business cycles. A model with a threshold approach (LSTAR) was used based on the seasonal data of the Iranian economy from April 2001 to July 2019. According to the statistical tests related to the correct specification of the model, the currency shock rate is a threshold variable for changing the coefficients as its function. The results showed that the central bank intervention and the oil shock had more effects on the production gap. The nature of production in Iran's economy is oil, and its booms and busts are synchronized with the booms and busts of oil income. The injection of high oil revenues and the experience of high economic growth increase the GDP growth and reduce the production gap due to the low currency shock rate. The continuation of economic growth in the upper stages increases investment in production, decreasing the production cost and gap. In addition, the effect of currency shock increases with the foreign exchange interventions of the central bank and crossing the threshold and entering the non-linear sector. In other words, policymakers have tried to control the growth of currency shock by more reaction to the growth of the exchange rate. However, the reaction to exchange rate deviations decreases after crossing the threshold. Therefore, controlling the exchange rate becomes more robust with the increase of its growth rate in foreign exchange interventions.Numerical solution for solving inverse telegraph equation by extended cubic B-spline
https://ijnaa.semnan.ac.ir/article_7016.html
In this paper, we consider a numerical method based on extended cubic B-spline basis functions for the determination of an unknown boundary condition in the inverse second-order one-dimensional hyperbolic telegraph equation. Extended cubic B-spline (ExCuBs) is an extension of cubic B-spline consisting of a parameter, we combined it with the Tikhonov regularization method to obtain a numerically stable solution. The convergence and stability of the technique are proved and shown that it is established under suitable assumptions and accurate order $O(k+h^2)$. The numerical results have been compared with those obtained by the cubic B-spline method to verify the accurate nature of our method.Investigate the mediating role of knowledge commercialization process intervention on the relationship between companies' selection and exit by Iran's incubators
https://ijnaa.semnan.ac.ir/article_7017.html
This paper investigates the mediating role of knowledge commercialization process intervention on the relationship between companies&rsquo; selection and exit by Iran's incubators. The statistical population consists of 191 approved incubators and the statistical unit with 1337 members of the board of trustees of incubators. Descriptive and inferential statistical methods were used to analyze the collected data. Descriptive statistics methods (tables, graphs) were used to summarize, classify and interpret statistical data, and structural equation methods were used to test research hypotheses. The data collection tool was a questionnaire. The questionnaire's validity and reliability were assessed and approved and then distributed among the sample. The results (based on six factors extracted from ten Grimaldi characteristics) show that the selection method affects the incubators' intervention in Iran. Also, the intervention method affects the exit way by Iran's incubators, confirming the mediating role of the knowledge commercialization process.Meir-Keeler-type results on quasi-$b_v(s)$-metric spaces with new control functions
https://ijnaa.semnan.ac.ir/article_7018.html
A contraction mapping is generalized by defining an ambient space under consideration or by altering the contraction condition. In this study, we first define a new space called quasi-$b_v(s)$ metric space and verify that this space is a generalization of $b_v(s)$ metric spaces. We also define a new control function which is a generalization of the altering distance function. Finally, we prove the existence of a fixed point for $\xi$-generalized Meir-Keeler type contractions on quasi-$b_v(s)$-metric spaces. Many famous results in the field have been improved, generalized, and unified by the results presented here. The main result is used to drive several corollaries and an example is presented to back up the claim.Investigation of 2DOF FOPI controller for synchronous generator voltage stability
https://ijnaa.semnan.ac.ir/article_7019.html
Voltage instability is one of the basic problems in power systems that have always been considered. This instability occurs when a disturbance, increased usage, or change in system condition causes a progressive and uncontrollable drop in voltage. In order to achieve voltage stability, tools such as s In the generator, one of the reliable methods is to use the automatic voltage regulator (AVR) system. In fact, each AVR needs to maintain the reactive power of the synchronous generator at the demand level, stable voltage and frequency of the power sources. hunt capacitors and power electronic equipment, etc., were introduced. In this research, the effectiveness of the control scheme based on proportional-integral fractional order (FOPI) controller for automatic voltage regulation (AVR) system is presented. In this study, a 2DOF FOPI controller is proposed that deviates from the standard integer order to show the superiority of the additional degrees of freedom in the network and controller structure. To improve the performance of AVR, an particle swarm optimization algorithm (PSO) is proposed to adjust the parameters. This method achieves significant robustness to system parameter perturbations and perturbation discontinuities. In the staircase response analysis, it is observed that the settling time and overshoot of the system can be reduced compared to the recently published designs. Various analyzes have shown that the proposed controller is superior to the PI controller in terms of robustness.Controlling chaos in a discretized prey-predator system
https://ijnaa.semnan.ac.ir/article_7020.html
In this work, we have considered a discrete-time discrete prey-predator. The discrete-time model is formulated in terms of difference equations and is obtained by applying a nonstandard finite difference scheme of Mickens type. We have discussed the existence and the local dynamics of the fixed points. Analytically, we demonstrated that the system undergoes a Neimark-Sacker bifurcation. Under a parametric condition, all chaotic features are justified numerically. Finally, we use two chaos control strategies to control the Neimark-Sacker bifurcation.Designing a customer-oriented banking service model in Refah Bank with a content analysis approach
https://ijnaa.semnan.ac.ir/article_7021.html
Due to the higher importance of customer-orientedness, especially in the banking industry, the main goal of this study is to design a customer-oriented banking service model in Refah Bank with a content analysis approach. Although the previous research investigated the diverse aspects of customer-orientedness in the banking industry, designing a customer-oriented banking service model has not been touched upon. The purpose of this study is to provide a model of the influencing factors and consequences of designing a customer-oriented banking service model in Refah Bank with a content analysis approach. &nbsp;This is qualitative and basic research in terms of its purpose. Furthermore, this is field research in terms of its data collection method. The statistical population of the research are university professors and banking experts. In the current study, theoretical sampling resorted; the sample size was 17 people according to theoretical saturation (Grounded theory saturation). The first group were the major factors influencing customer-oriented banking services. In other words, they were the components whose presence caused customer-oriented banking services (i.e., influencing components). The second group were impressive factors of the creation of customer-oriented banking services; these factors were taken into account as the consequences of the creation of customer-oriented banking services. Here, three consequences are assumed for the model. &nbsp;The findings indicate that factors such as human resource management measures, differentiation in providing services, and integrated marketing communication (IMC) are considered antecedent factors; the factors such as particular brand value, communication quality, and financial performance are regarded as the consequences of customer-oriented banking services.Analysis and evaluation of debonding of reinforced concrete beams
https://ijnaa.semnan.ac.ir/article_7022.html
One of the causes of prosperity and success in the construction industry and one of the most common debonding is the debonding of the concrete cover and the separation of the concrete surface and the reinforcement plate. This paper evaluated the beams in the experiments due to an external force applied perpendicular to the longitudinal axis. The five reinforced concrete beams test specimen dimensions were 200&times;140&times;1300 mm, with rebar 10 for the bottom and 6 for the top, rebar 8 for the girders, and the concrete grade was considered 350. The final strength of 28 days with GFRP fibers in two layers, three classic layers, two layers, and three U-shaped layers are subjected to a four-point bending test. A control specimen was used for evaluation. The experimental results showed that the three U-shaped GFRP layers performed better than the other specimens and performed better in the biaxial bending test. The three U-shaped GFRP layers sheet had the most significant effect on flexural reinforcement and prevention of debonding compared to the classic U-shaped two-layer, three-layer, and two-layer GFRP sheets. In addition, Two U-shaped layers have more resistance to external load pressure than a U-shaped layer and have a more significant impact.L-Normal fuzzy filters of a distributive lattice
https://ijnaa.semnan.ac.ir/article_7023.html
In this paper, we study the concept of L-normal fuzzy filters of distributive lattices in terms of annulates. We also study the special class of fuzzy filters called L-normal fuzzy filters. Further, a set of equivalent conditions are derived for an $ L $-fuzzy filter to be an $ L $-normal fuzzy filter, which leads to a characterization of disjunctive lattices. We observe that every L-normal fuzzy filter is the intersection of all L-prime normal fuzzy filters containing it. Finally, we study the space of $ L $-prime normal fuzzy filters and investigate some of their properties.Optimal demand response program design using a three phase optimization algorithm in electric vehicle charge/discharge application
https://ijnaa.semnan.ac.ir/article_7025.html
In this paper, the effects of distributed generation resources and demand response programs on the placement of charging or discharging stations are investigated. The effectiveness of an optimal exploitation approach is evaluated. pivotal factors of optimal charge/discharge power in stations are a combination of technical and economic parameters. The technical parameters contain minimization of network losses, voltage loss reduction in feeders, smoothing network load curve and harmonic elimination. The placement of stations and charge/discharge power were considered the most effective economic parameters. In other words, the minimization of charge/discharge operations results in cost reduction in purchasing power. A price-based demand-response program is considered to manage loads on the customer side and smooth the load curve. meta-heuristic optimization algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), and imperialist are considered to find an optimal solution. This study is simulated on an IEEE standard 69-bus network. Using a conventional hybrid algorithm shows that the problem of station replacement and charge/discharge program can be solved optimally. Moreover, the effects of an increased number of stations and a disturbance in charge/discharge capacity are examined.On the extension of $SD$ sets by using generalized open sets in bitopological spaces
https://ijnaa.semnan.ac.ir/article_7026.html
In this paper, we introduce and study $ij$-somewhere dense sets in bitopological spaces. We present $ij$-somewhere density properties by using some generalized open sets which are used for generalizing the operators of interior, closure and boundary. In this manner, we also investigate several properties of $ij$-somewhere dense sets and present several examples for the main results. We also introduce $\omega$-hyperconnectedness as an extension of hyperconnectedness by using $ij$-somewhere dense sets. We later present some separation axioms based on these types of sets.Code smells in software: Review
https://ijnaa.semnan.ac.ir/article_7029.html
A code smell is any display in a program's source code that may signal a broader issue, impeding software development and maintenance. Developers struggle to recognize code smells, which has resulted in several detection tactics, tools, and software analysis tools, commonly referred to as code smell detection approaches. These techniques are generally used to uncover programming abnormalities and poor practices. Code smell detection techniques are typically used to raise developer awareness of the internal quality of a development program, as different tools have different implications.Structural equation modeling of the relationship between job descriptions and employee competencies in drug distribution companies
https://ijnaa.semnan.ac.ir/article_7030.html
The aim of this study was to model the structural equations of the relationship between job descriptions and employee competencies. The existing research is descriptive research in terms of practical and developmental purpose and correlational descriptive research in terms of method. The statistical population of the study includes all the work of employees of pharmaceutical companies in Tehran from 1399 to 1870 people, of which 800 people were selected as a sample by simple random sampling method. Four researcher-made questionnaires were used to collect data, which included an 80-item questionnaire describing job descriptions with a validity of 0.84 and reliability of 0.967, a 98-item questionnaire on employee competencies with a validity of 0.86 and reliability of 0.953. Structural equation modeling was used to analyze the data using SPSS and AMOS22 software. The results showed that the proposed model has an acceptable fit to explain the relationship between job descriptions and employee competencies. So that there is a positive and significant relationship between job descriptions of physical abilities (including physical health, and physical ability); intellectual abilities (including intelligence, memory, creativity, innovation, and flexibility); social skills (including social interactions, verbal skills, nonverbal skills, emotion management, social responsibility, emotional intelligence) and mental ability (including mental health, adjustment and vitality) and competencies of pharmaceutical companies employees.An application of the power series distribution for univalent function classes with positive coefficients
https://ijnaa.semnan.ac.ir/article_7031.html
The primary motivation of the paper is to give necessary and sufficient condition for the power series distribution (Pascal model) to be in the subclasses $\mathcal{VS}_{p}\left( \vartheta ,\gamma ,\kappa \right) $ and $\mathcal{VC}_p(\vartheta ,\gamma ,\kappa )$ of analytic functions. Further, to obtain certain connections between the Pascal distribution series and subclasses of normalized analytic functions whose coefficients are probabilities of the Pascal distribution.Development and rational combination of continuous audit research based on the presentation of an optimal model
https://ijnaa.semnan.ac.ir/article_7032.html
Continuous auditing is a concept that refers to more frequency of audit reports and tries to use new technologies to lead the audit process towards more automation and reporting of exceptions. Continuous auditing was performed based on the presentation of the desired model. This research was a descriptive correlation study using structural equation modeling. The research community included all certified auditors who are members of the Iranian Association of Certified Public Accountants. The number of samples in this study was estimated to be 110 people who were selected by simple random sampling. A questionnaire was used to collect data. Statistical analysis was performed with LISREL software. Structural equation modeling was also used to test the research hypotheses. The results showed that audit factors such as the use of more analytical techniques and skills in the continuous auditing system, the establishment of risk management systems, improving the effectiveness and efficiency of the internal control system, increasing demand from stakeholders to provide audit reports on the development and rational composition of audit research. Continuous auditing has a significant effect.Bounds for the zeros of a quaternionic polynomial with restricted coefficients
https://ijnaa.semnan.ac.ir/article_7035.html
The problem of determining the zeros of regular polynomials of a quaternionic variable with quaternionic coefficients is addressed in this study. We derive new bounds of the Enestrom-Kakeya type for the zeros of these polynomials by virtue of a maximum modulus theorem and the structure of the zero sets in the newly developed theory of regular functions and polynomials of a quaternionic variable. Our findings generalise several newly proven conclusions concerning the distribution of zeros of a quaternionic polynomial.A hybrid approach for texture classification based on complex network
https://ijnaa.semnan.ac.ir/article_7036.html
This paper proposes a method for image texture classification based on a complex small world network model. Finding important and valuable information in the context of an image is a big problem for image classification. In current analysis methods, image texture features such as spatial information are left out and color histogram is mostly used. In this article, the multi-radial distance analysis method is used to select the nodes, and then based on the identified nodes and calculating the shortest distance between adjacent nodes, a complex network is created to record the texture pattern. In the next step, the topological characteristics of the network such as the number of nodes, the number of triple triangles, the length of the edges and the average diameter of the network are identified and used for evaluation. Brodatz, UIUC and Outex databases have been used to test the system. The results of the proposed method show that this method is effective for texture classification and improves the classification rate compared to the usual traditional methods.Some existence and uniqueness results of a houseflies model with a delay depending on time and state
https://ijnaa.semnan.ac.ir/article_7037.html
This work elucidates the sufficient conditions for establishing some existence and uniqueness results for a Musca Domestica model that is governed by a first-order nonlinear differential equation with iterative terms resulting from a time and state-dependent delay. The existence of at least one positive periodic solution is proved by using Schauder's fixed point theorem with the help of some properties of an obtained Green's function. Furthermore, under an additional condition, the Banach contraction principle is applied to guarantee the existence, uniqueness and stability of solutions. Finally, the validity of our main findings is demonstrated by two examples. Our findings are completely new and generalize previous ones to some degree.Matrix analysis of the process of integrating sustainable brand equity in the automotive industry
https://ijnaa.semnan.ac.ir/article_7044.html
The automotive industry is one of the most important industries in the economy of countries due to its extensive relationship with other industries; High production and employment rates play a significant role in the sustainable development of countries. Therefore, the improvement of brand equity integration strategies in this industry is significant because it is related to the level of economic sustainability of countries. This study aims to analyze the integration matrix of the process of creating sustainable value in the automotive industry. This research is a development / mixed methodology that aims to symmetrically combine the relationship between the components of sustainable brand equity integration through Mick Mac matrix analysis to identify the most effective drivers of the research subject in the Iranian automotive industry. Therefore, in this study, first, in the qualitative part, meta-synthesis analysis and Delphi analysis were used to identify the thematic components of the integration of the process of creating sustainable value and to determine the theoretical adequacy of the components. Then, in a small part, an attempt was made to explain the approved components, based on the symmetric matrix analysis in the Mic Mac diagram, in the automotive industry to determine more stimulus for integrating the sustainable brand equity process, with the participation of 16 automotive executives. Based on the results in the qualitative section, 8 thematic components were identified to evaluate the integration of the sustainable brand equity process, and after Delphi's approval, these components were approved in terms of theoretical adequacy. The results in the quantitative part based on matrix analysis showed that the most motivating component in integrating the process of creating sustainable value in the automotive industry is the development of innovative ideas. To create integration in creating sustainable value, it is necessary to create a positive impact of creative ideas in the three components of balancing performance with the changing needs of K3 customers, the dynamics of communication with K8 suppliers, and reducing the diversity of materials used in K5 production.Operators commuting with certain module actions
https://ijnaa.semnan.ac.ir/article_7045.html
In this note, we study bounded linear operators associated with unitary representations which commute with certain module actions.The use of the trapezoidal method for solving the Tacoma Narrows Bridge model
https://ijnaa.semnan.ac.ir/article_7046.html
In this paper, an efficient method is developed for the approximate solution of a benchmark non-smooth dynamical system. In the proposed method, the trapezoidal method is utilized for solving the Tacoma Narrows Bridge equation. For this purpose, at first, the integral form of the dynamical equation is considered. Afterwards, the obtained integral equation is discretized by the trapezoidal method. The accuracy and performance of the proposed method are examined by means of some numerical experiments.Infinitely many solutions for a nonlinear equation with Hardy potential
https://ijnaa.semnan.ac.ir/article_7047.html
In this article, by using critical point theory, we prove the existence of infinitely many weak solutions for a nonlinear problem with Hardy potential. Indeed, intervals of parameters are determined for which the problem admits an unbounded sequence of weak solutions.New accelerated iterative algorithm for \(\mathbf{(\lambda,\rho)}\)-quasi firmly nonexpansive multiValued mappings
https://ijnaa.semnan.ac.ir/article_7059.html
In this paper, introduced a new accelerated iterative algorithm in \((\lambda,\rho )\) -quasi firmly nonexpansive multi-valued mappings in modular function spaces and present some results for convergence to a fixed point in this mapping, we use faster convergence theorem to comparison our iteration with some other iterations and introduced numerical example. As an application, we have referred to previous work by other researchers.Identifying and analyzing factors affecting the excellence and success of small and medium industries using the system dynamics approach
https://ijnaa.semnan.ac.ir/article_7062.html
Based on the theoretical underpinnings and opinions of industry experts, key variables in the field of new product development have been identified, and cause-and-effect relationships between these variables have been drawn in this study to identify and analyze the dynamics of factors affecting the success of new product development. The intended system has been replicated in the steel industry corporation using the mathematical correlations between these variables that have been established based on the linkages in the backdrop. The strategies of expanding managerial support, investing more in R\&amp;D, and increasing and enhancing product development planning have been recommended to increase the company's performance, and the outcomes of these scenarios have been simulated. The findings indicated that the first level is where the factors related to product development, technology development, research and development activities, the presence of complementary resources, long-term relationships with suppliers, transparent procedures, managerial competence, information sharing, conflict management, risk management, and problem-solving. The second level of the paradigm also includes pursuing power, caving to rivals, inspiring motivation, technical proficiency, technology knowledge transfer, customer happiness, market capacity, and marketing activities. The third level of the model was then used to group the following factors: market penetration, inter-industry compatibility, collaboration, mutual trust, business competence, the appearance of new rivals, change in consumption rate, awareness of environmental concerns, and business competence. This can contribute to the excellence and success of small and medium-sized metal sector businesses.Optimal control strategies and cost effectiveness analysis of Pneumonia disease with drug resistance
https://ijnaa.semnan.ac.ir/article_7063.html
Pneumonia is a very serious infectious disease that affects one or two sides of the human lungs. The disease is caused by infectious agents such as bacteria, viruses and fungi. In general, pneumonia is caused by Streptococcus bacteria. In present paper, we developed and analyzed the optimal control and cost-effectiveness strategies for pneumonia with the inclusion of a drug resistance compartment. The basic reproduction number that governs disease transmission has been obtained as the largest eigenvalue of the next-generation matrix. Both local and global stabilities of the disease-free equilibrium and endemic equilibrium points of the model equations were established using basic reproduction numbers. It is found in this research that the control strategies work well and thus the infective population sizes of both asymptomatic and symptomatic classes reduce drastically within a short period of time. Also, the analysis of cost-effectiveness is depicted. Finally, based upon the simulation values of optimal controls, the combination of Prevention, Treatment and Screening of infectious humans is the most efficient and less costly strategy to eradicate pneumonia diseases from the community.Compare some estimation methods for zero-inflated Poisson regression models with simulation
https://ijnaa.semnan.ac.ir/article_7064.html
Car accidents are an important phenomenon because of their direct relationship to the living conditions of different population centres in cities; it is known that a single accident causes increased human and material losses. For the purpose of researching the topic of predicting the number of accidents, the zero-inflated Poisson distribution was studied. In this thesis, several methods were searched, namely (maximum likelihood estimation, and moments) methods, in order to estimate the zero-inflation parameter of the Poisson regression. In this research, a number of simulation experiments were carried out according to the assumed distribution (Poisson's zero inflation) and the methods for estimating the assumed zero inflation parameter. And for a number of sample sizes (60, 80,100) according to different values of the zero inflation parameters (0.1, 0.2) and the second parameter of the zero-inflated Poisson distribution (1, 2). The comparison between the results of the different simulation experiments was done through the mean square error due to the estimations of each of the two parameters of zero inflation and the second parameter of the zero-inflated Poisson distribution according to each of (estimation method, distribution parameter and sample size).Managing external and internal conflicts as well as conflicts in the accounting environment
https://ijnaa.semnan.ac.ir/article_7078.html
This study is aimed at investigating the management of external and internal conflicts in the accounting environment. The present study is qualitative research. According to the purpose of the research, the data were collected through unstructured interviews through an exploratory approach. The statistical population of this study is the relevant managers in the investment profession, including managers of investment companies, brokerages, stock exchange organizations, stock exchange and OTC companies, investment funds, financial analysts (technical and fundamental), investors active in the capital market, Professors of finance and accounting and investment and other experts in the field of behavioral risks. Methods were used to collect data. Examples studied in this study include relevant managers in the investment profession including managers of investment companies, brokerages, stock exchange organizations, stock exchange and OTC companies, investment funds, financial analysts (technical and fundamental), and active investors In the capital market, there will be professors of finance and accounting and investment and other experts in the field of behavioral risks. The MAXQDA software has been used for qualitative analysis. In this study, after coding the interview texts, removing the synonymous and repetitive criteria and finally, 8 main categories and 44 sub-categories were obtained by categorizing and categorizing the final criteria. The main categories include individual differences, structural differences, conflict management and conflict, conflict resolution strategy, conflict management techniques, demarcation of constructive and destructive conflict and conflict, non-participation of individuals in organizational decisions, conflict resolution in the constructive path and efficient.Additive and quadratic set-valued $k$-functional inequalities and their stability
https://ijnaa.semnan.ac.ir/article_7081.html
The aims of this work are first solving set-valued functional inequalities involving additive and quadratic set-valued mappings, and second investigations of their stability by using the fixed point method.Analysis of the asymmetric effect of air pollution on housing prices in Iran (using the NARDL approach)
https://ijnaa.semnan.ac.ir/article_7082.html
Given the expansion of cities in recent decades, it is necessary to address environmental problems such as air pollution and study its impact on the economy. One of the most important sectors of the economy in which the environmental effects are very evident is the housing sector. The importance of housing is such that has always been introduced as one of the main human needs. However, the increase in housing prices in recent years and the high cost of services, in the housing sector, have led to little attention being paid to consumer tastes and preferences, including clean air, in housing construction. Therefore, considering the importance of air and housing pollution, the purpose of this article is the asymmetric analysis of the effect of air pollution on the housing price index in Iran. In this regard, the macroeconomic model was used in which the variables of air pollution index, per capita income, liquidity, consumer price index, interest rate and exchange rate were used as explanatory variables for the dependent variable of the housing rent index. The model was estimated using annual data over a period of time (1996-2017) for the Iranian economy and using the Nonlinear Autoregressive Distributed Lag Method (NARDL). The NARDL technique is able to examine the effect of positive and negative air pollution shocks in the short and long term separately on housing prices. It should be noted that the indicator used to express air pollution is (PM2.5). The results of the estimate indicate the fact that each negative shock of air pollution leads to an increase in rent and each positive shock of air pollution leads to a decrease in rent. Estimates also show that per capita income is the most effective variable on housing prices, while interest rate and liquidity had no significant effect on housing prices.Designing a human resource development causal model using the fuzzy Dematel method
https://ijnaa.semnan.ac.ir/article_7083.html
Nowadays, human resource development is the concept of thought and idea by the organization's staff, and its new concept requires employees to be equipped with qualities and skills that, with full compassion and commitment fulfill their capabilities, energy, expertise and thought to fulfill their mission. Put the organization. This paper is aimed at designing the causal Pattern of Human Resources Development at Islamic Azad University based on the general policies of the administrative system transformation according to the fuzzy Dematel method. In this study, information about 16 experts and professors at Islamic Azad University, forms a statistical sample. The results show that individual, environmental, educational, social, economic and management factors affect human resource development at Islamic Azad University. The fuzzy Dematel-based method has also shown that the training factor with an average effect of 1.65 is the most important factor in this study. On the other hand, environmental factors with an average effect of 0.520 are a factor with the least effect.Medical and color images compression using new wavelet transformation
https://ijnaa.semnan.ac.ir/article_7084.html
In recent years, technology has developed very dramatically in all fields, such as imaging technology, which has become crucial in most medical fields. Currently, widely medical images are used to diagnose and treat various illnesses. This research describes a novel waveform developed from the principle of torsion in Haar with Cosine and Sine waves (CAS) for compressing color and medical images such as Magnetic Resonance Imaging (MRI) and computed tomography (CT). This research proposes a method that discusses medical image decomposition and color images using novel waveform analysis for image compression, and how wavelet is utilized for image restoration. The experiments demonstrate that our method is more accurate and compressive than the Haar wavelet Transform (Haar) when comparing numerical results of &nbsp;Compressed file size, CR (Compression Ratio), PSNR (Peak Signal Noise Ratio) and RMSE (Root Mean Square Error). Furthermore, the method achieves better image quality.Solution of time fractional Swift Hohenberg equation by Aboodh transform homotopy perturbation method
https://ijnaa.semnan.ac.ir/article_7094.html
In this study, the Aboodh transform homotopy perturbation method has been used to solve fractional differential equations. The Swift&ndash;Hohenberg equation accurately explains the creation and evolution of patterns in a wide range of systems. The Swift-Hohenberg (S-H) model is linked to fluid dynamics, temperature, and thermal convection. The problem's convergence analysis is displayed. All of the Surface representation graphs are also represented using MAPLE. ATHPM solution has been compared with the exact solution and LADM to check the accuracy of the proposed method.On the performance of intrusion detection systems for the internet of things: State-of-the-Art in Research
https://ijnaa.semnan.ac.ir/article_7095.html
Nowadays, the IoT attracts a multitude of research and industrial interests. Smaller and smarter devices are being implemented daily in multiple IoT domains. However, protecting IoT devices from cyber-attacks is critical to their operation. Confidential data is leaked as a result of malicious acts. As a result, device performance becomes crucial. Security risks are frequently made in IoT-based structures that impact their standard work. Therefore, to eliminate and mitigate these issues (attacks), the Intrusion Detection System (IDS) was proposed to fulfill this purpose. This paper aims to study the state of the art of the proposed IDS. Moving on, we critically review the proposed IDS-based machine learning algorithms. Based on this evaluation criteria, the solutions covering architectures, intelligent prediction and algorithms are critically reviewed. To achieve our goals, the paper presents challenges and open research areas in IoT design.Further investigation into the contractive condition in $\mathcal{D}$-generalized metric spaces with the transitivity
https://ijnaa.semnan.ac.ir/article_7096.html
In this paper, we present fixed point results in $\mathcal{D}$-generalized metric spaces endowed with a transitive relation that is not necessarily a partial order. We also give two examples with numerical results to support our main results while fixed-point results in the literature are not applicable. Moreover, we introduce some new notions for consideration of the multidimensional fixed point results in the $\mathcal{D}$-generalized metric spaces.Structural equations modeling of citizenship rights based on cultural policies and sustainable social development in government organizations (Case study of Kerman)
https://ijnaa.semnan.ac.ir/article_7099.html
This study aims to find the structural equations of citizenship rights based on cultural policies and sustainable social development in government organizations. The existing research is applied and developmental in terms of purpose and in terms of the method is descriptive correlational research. The statistical population of the research includes all employees of government organizations and departments in Kerman in 2020 and the sample size using Cochran's formula is 378 people. Classes are selected randomly. Data collection includes three research questionnaires: 96 questions about Cultural Policies with a validity of 0.84, a reliability of 0.971, a questionnaire of 71 questions about sustainable social development with a validity of 0.94 and a reliability of 0.935 and a questionnaire of 71 questions of citizenship rights with a validity of 0.91 and Reliability was 0.966. For data analysis, Pearson correlation, multiple linear regression and structural equation modeling were used using SPSS and AMOS22 software. The results showed that the proposed model to explain the provision of citizenship rights based on cultural policies and sustainable social development in government organizations has an acceptable fit. According to the research results, there is a significant relationship between cultural policies and citizenship rights in government organizations. There is also a significant relationship between sustainable social development and citizenship rights in government organizations.Identifications of developmental dysgraphia on the basis of dynamic handwriting features
https://ijnaa.semnan.ac.ir/article_7100.html
Developmental disorders are regularly observed in developmental writing skills (developmental dysgraphia) with considerable concerns. Physicians do their diagnosis on the basis of the juvenile&rsquo;s written products as well as the attitudes and feedback taken from their teachers. This is a very laborious process and yet subjective in nature. Consequently, many juveniles suffering from this defect, particularly those with lower levels of the disorder remain undiagnosed. The aim of the present work was to find a new method for the automatic identification of dysgraphia even at minute levels. Utilizing the most sensitive pen tablet available to gather the desired dataset, we could extract all the considered datasets, i.e. temporal, spatial, kinematic, and pressure parameters with the greatest possible accuracy. On the whole, 102 students (both male and female) from the second, third, and fourth grades of primary schools were participated in the data collection phase by being asked to write a short paragraph. 51 students, in an age range of eight to ten years, were participated in each group, i.e. dysgraphic and non-dysgraphic. Next, a huge set of features (more than two thousand features) was extracted in the preprocessing phase. In the feature selection phase, we eventually ended up with sixteen features that proved to be the most effective in diagnosing dysgraphia. To distinguish between the dysgraphic and non-dysgraphic students, three different types of classifiers, i.e. random forests, AdaBoost classifiers, and support vector machines (SVM) were considered and compared. For the prediction of dysgraphia based on incessant handwriting features, the SVM was revealed to be the best model with a classification performance accuracy of 93.65%. Our work exhibited that online handwriting features including time, jerk, and altitude/azimuth may be utilized to automatically reveal dysgraphia in juveniles with this writing disorder.Distributional solution for semilinear system involving fractional gradient and a numerical example
https://ijnaa.semnan.ac.ir/article_7101.html
In this research, a semilinear fractional system involving a new operator is tackled. The existence of a distributional solution is demonstrated and the Leray-Schauder degree method is used to deal with the existence of this system. For the uniqueness of the solution, we use the contraction principle with some assumptions made on the semilinear term $\Phi_{1}$ and $\Phi_{2}$. Then, using an example and the finite difference method a numerical investigation of this system is conducted.The use of ARIMA, LSTM and GRU models in time series hybridization with practical application
https://ijnaa.semnan.ac.ir/article_7110.html
The importance of forecasting has emerged in the economic field in order to achieve economic growth, as forecasting is one of the important topics in the analysis of time series, and accurate forecasting of time series is one of the most important challenges in which we seek to make the best decision. The aim of the research is to suggest the use of hybrid models for forecasting the daily crude oil prices as the hybrid model consists of integrating the linear component, which represents Box Jenkins models and the non-linear component, which represents one of the methods of artificial intelligence, which is long short term memory (LSTM) and the gated recurrent unit (GRU) which represents deep learning models. It was found that the proposed hybrid models in the prediction process when conducting simulation for different sample sizes and when applied to the daily crude oil price time series data, were more efficient than the single models, and the comparison between the single models and the proposed hybrid models was made by comparison scale, mean square error (MSE), and the results showed that the proposed hybrid models have the ability to predict crude oil prices, as they gave more accurate and efficient results.The analysis of strategies and outcomes of the optimal allocation of resources in Islamic banking using the GT approach with the help of MAXQDA software
https://ijnaa.semnan.ac.ir/article_7112.html
The Islamic banking system, which is based on Islamic values and worldviews, is a part of the Islamic economic system, enabling the analysis of the philosophy of Islamic banking within the framework of studying the philosophy of Islamic economics. This research aims to explore the outcomes of the optimal allocation of resources in Islamic banking. To conduct the research, after collecting literature, theoretical foundations, and literature review from library studies, data gained from the opinion of scholars in various groups involved in the issue of Islamic banking were collected using interview instruments, and to analyze the content of interviews, conceptualization, and extraction of categories was used through a systematic method. To analyze the data, open coding, axial coding, and selective coding were carried out in three stages, and the model of the optimal allocation of resources based on Islamic banking was presented using MAXQDA software. Findings suggested that the consequences cannot always be predicted, and they are not necessarily those that people intended. Outcomes may be incidents and phenomena, take a negative form, be accurate or implied, and take place in the present or future.Hyers-Ulam stability and well-posedness for fixed point problems on quasi $b$-metric spaces
https://ijnaa.semnan.ac.ir/article_7113.html
In this paper, we ensure the existence of a unique fixed point in quasi $b$-metric spaces for some contraction mappings requiring the concept of $\Psi ^ {*}$-admissibility. The Ulam-Hyers stability and well-posedness of these fixed point results have been studied and investigated. The obtained results generalize and extend many known results in the literature.Pattern recognition using the multi-layer perceptron (MLP) for medical disease: A survey
https://ijnaa.semnan.ac.ir/article_7114.html
In recent years, Machine Learning (ML) algorithms, especially Artificial Neural Networks (ANNs), have achieved remarkable success in various fields such as Pattern Recognition, Computer Vision, and Voice Recognition. Where ANNs algorithms have proven their superiority over traditional ML algorithms like (Support Vector Machines, Decision Trees, and Na&iuml;ve Bayes) in various fields. Multi-layer Perceptron (MLP) network is one of the popular ANNs types and is used in various fields. The field of healthcare pattern recognition is considered one of the most important fields in our modern age, as this field is concerned with patterns extracted from raw data. There are many studies that dealt with MLP networks to detect and classify patterns in such a scope. In this study, a body of work deals with using the MLP networks for healthcare pattern recognition in five different topics (Diabetes, Heart disease, Liver, Breast cancer, and Parkinson's disease). The goal of the research is to identify strengths and weaknesses, and to identify the latest developments of adapting MLP network to recognize patterns in different data sets in the Healthcare field.Bounds to the first eigenvalues of weighted p-Steklov and (p,q)-Laplacian Steklov problems
https://ijnaa.semnan.ac.ir/article_7115.html
We consider the Steklov problem associated with the weighted p-Laplace operator and $(p,q)$-Laplacian on submanifolds with the boundary of Euclidean spaces and prove Reilly-type upper bounds for their first eigenvalues.Investigating the effect of risk on life insurance return in the Iranian economy
https://ijnaa.semnan.ac.ir/article_7117.html
Examining the movement trend of life insurance returns shows, That the movement of income return has been less than the movement of return of life insurance claims. Fewer movements of income return than movements of life insurance claims in the economy arise from various variables, including life insurance management, Part of which is due to risk recognition. This helps life insurance industry executives, To the extent of the boundary between tolerable and intolerable risks in accepting or not accepting various swimming risks, And by managing them, they can play an important role in marketing and increasing the demand for insurance and, in general, for the optimal growth of life insurance. Hence the purpose of the article; Investigating the effect of risk on life insurance return during the period 1971-2019 using the ARIMA-GARCH / TARCH model and beta coefficient. The results show; There is a significant relationship between examining the impact of risk on life insurance return. Also in this research, systematic risk has been investigated using the beta coefficient method. Because the beta coefficient obtained is 17\% and is less than one and greater than zero. This result indicates that life insurance income is smaller than the general trend of market movement and risk aversion has a negative impact on the return on life insurance income.New results for a complex-valued cellular neural networks model on time scales
https://ijnaa.semnan.ac.ir/article_7118.html
In this study, we consider complex-valued cellular neural networks (CVCNNs) models on time scales. In contrast to earlier research, we employ a straightforward approach to arrive at our theoretical conclusion rather than breaking the model down into real-valued or complex-valued systems. Firstly, we use the Stepanov almost automorphy on time scales, the theory of time scale calculations, the Banach fixed point theorem, and by constructing an appropriate Lyapunov function to establish the existence, uniqueness, and Stepanov-stability of Stepanov almost automorphy solution for this class of CVCNNs on time scales via a direct method. Finally, an example with simulations is given to illustrate the feasibility of our results.Deep learning-based COVID-19 detection: State-of-the-art in research
https://ijnaa.semnan.ac.ir/article_7119.html
In the last two years, the coronavirus (COVID-19) pandemic put healthcare systems around the world under tremendous pressure. Imaging techniques (like Chest X-rays) play an essential role in diagnosing many diseases (such as COVID-19). There have been intelligent systems (Machine Learning (ML) and Deep Learning (DL)) able to identify COVID-19 from similar normal diseases. In this paper, we start by overviewing the status of COVID-19 from a historical standpoint and diagnosis updates. Moving on, provide an overview of the convolutional neural networks. Then, we elaborate Transfer learning method and its main approaches. Next, we provide a critical literature review on implementing Deep learning techniques: 1) Novel deep learning architecture; 2) Direct use of deep learning; 3) Transfer learning fine-tuning technique, and 4) Transfer learning feature extraction technique. For each of these, we evaluate and compare very recent studies published in highly ranked journals. The experiments show that all techniques achieve closer accuracy, ranging from (98-100 \%). Along with all, the direct use of the deep learning technique records the highest accuracy and is less time-consuming and resource spending. Therefore, establishing such a technique is useful to predict the outbreak early, which in turn can aid in controlling the pandemic effectively.Characterization of Bloch type spaces and symmetric lifting operator
https://ijnaa.semnan.ac.ir/article_7120.html
In this paper we first study the characterization of Bloch space in terms of pseudo-hyperbolic metric. Then the action of symmetric lifting operator on weighted Bloch spaces will be studied.Designing a model of wise decision-making process in auditing with a fuzzy Delphi approach
https://ijnaa.semnan.ac.ir/article_7121.html
Since the attention and interest in the theory of wisdom is growing in various disciplines, but the integration of wisdom in professional methods such as auditing, especially their decision-making and professional opinions about financial statements, is still in an aura of ambiguity. Due to the lack of an understanding Empirical and explicit about the relationship between auditors' wisdom and decision-making, this gap doubles. Therefore, based on this argument, the current research aims to design a model of the wise decision-making process in auditing with a fuzzy Delphi approach. The methodology of this research is a combination (qualitative and quantitative) based on the participation of two expert communities as panel members in the qualitative section and 30 independent auditors as sociostatistical members in the quantitative section. In the qualitative part, the meta-analysis method was used to identify the factors related to wise decision-making, and then, through Delphi analysis, the basic factors were determined, based on the two criteria of the agreement coefficient and the average during the steps carried out back and forth to reach theoretical saturation. It investigated the results of this section and showed that 3 main components and 12 sub-components were approved. Based on the results, the professional thinking factor was chosen as the most influential factor and the social thinking factor as the second most influential factor on the auditors' wise decision-making.Generalized iterative scheme for a generalized spectral problem
https://ijnaa.semnan.ac.ir/article_7122.html
In this work, we define an iterative scheme for a generalized spectral problem associated with two operators defined on a Banach space of infinite dimension. We show that under the norm convergence, the generalized approximated eigenvalues and eigenvectors converge to the exact eigenpairs. As a numerical application, we tackle a generalized eigenvalue problem associated with integral operators, where the accuracy and efficiency are illustrated in some numerical examples.Using Densenet121 to extract roads from satellite images
https://ijnaa.semnan.ac.ir/article_7123.html
The most significant issue in remote sensing is the extraction of roads from very high-resolution satellite (VHR) photos. The authors of this research provide an effective Densenet121 block that can understand relationships between global features. As a result, road segmentation is more precise due to the ability of each geographical version available as a pointer to other data that is collected. In the specific, our single model outperformed every other contemporary aggregation model that has been presented in the official Densenet121, our suggested model offers a shorter training convergence time, fewer parameters, and fewer Giga floating-point operations per second (GFLOPs). The authors also provide empirical evaluations on how non-local blocks should be used appropriately for the base model. Theoretically, the applied methodology provided a DenseNet-121 and an unpublished best alternative identification method DenseNet-121, a really sizable dataset provided by the CNN model's training phase. Additionally, because the implemented architecture takes advantage of data augmentation, no custom data extraction method is necessary.Solving partial-differential algebraic equations with the fifth-Order Meshless Petrov-Galerkin Method by CS-RBFS interpolation
https://ijnaa.semnan.ac.ir/article_7124.html
In this paper, the application of the Fifth-order Meshless Local Petrov-Galerkin Method in solving the linear partial differential-algebraic equations (PDAEs) was surveyed. The Gaussian quadrature points in the domain and on the boundary were determined as centers of local sub-domains. By governing the local weak form in each sub-domain, the compactly supported radial basis functions (CS-RBFs) approximation was used as the trial function and the Heaviside step function was considered as the test function. The proposed method was successfully utilized for solving linear PDAEs and the numerical results were obtained and compared with the exact solution to investigate the accuracy of the proposed method. The sensitivity to different parameters was analyzed and a comparison with the other methods was done.Existence and stability results for a class of nonlinear fractional $q$-integro-differential equation
https://ijnaa.semnan.ac.ir/article_7128.html
This paper deals with the stability results for the solution of a fractional $q$--integro-differential problem with integral conditions. Using Krasnoselskii's, and Banach's fixed point theorems, we prove the existence and uniqueness of results. Based on the results obtained, conditions are provided that ensure the generalized Ulam stability of the original system on a time scale. The results are illustrated by the examples under the numerical technique.Long-time solvability of functional differential equations with "supremum" involving increasing nonlinearity at infinite time
https://ijnaa.semnan.ac.ir/article_7129.html
In this paper, we investigate a class of initial value problems of nonlinear fractional differential equations with state deviating arguments, delayed impulses and supremum on the half line. A global existence-uniqueness result is obtained using the theory of fixed points in uniform spaces, which is different from what is commonly used in such studies. Our result is obtained in a setting where classical variants of the fixed point theorems frequently used in the literature are inapplicable, and moreover without any bounding restriction with respect to time, neither on the solution nor on the reaction part of the problem. Two examples illustrating our main findings are also given.Facial image detection based on the Viola-Jones algorithm for gender recognition
https://ijnaa.semnan.ac.ir/article_7130.html
Facial gender recognition is an important and attractive research topic due to its extensive use cases, including gender demographic scanning, targeted advertising, access control, and visitor profile identification. The framework of the proposed method for face detection face consists of Adaboost, Integral Image, Haar- features, and Cascade Classifier. The LFW dataset containing 13,233 facial images was used.Investigation of factors affecting the price of poultry and poultry meat in Sari city market by Leontif generalized function
https://ijnaa.semnan.ac.ir/article_7131.html
Consumption of chicken and poultry as a source of animal protein in human nutrition has grown significantly in recent years in the world. Based on this, the present study was conducted with the aim of investigating the factors affecting the price of poultry and poultry meat in the market of Sari city by the generalized Leontif function. The statistical population is broiler production units in Mazandaran province (Sari city) with a history of more than ten years. Non-probability sampling and available type were obtained based on 50 production units. This study is equal to the information obtained on final production cost, producer selling price and consumer purchase price (main variables in this study). The price of chicken and poultry was paid. The generalized Leontif function was estimated by seemingly disordered equations (SUR) and Eviews11 software in the period 1991-1999. The results of short-term estimates showed that the intersection of technology and labor, the intersection of capital and labor, and the intersection of capital are 0.486, 0.615 and 1.141, respectively. The results of long-term estimation showed that the intersection of technology and labor, the intersection of capital and labor, the intersection of capital and technology and the intersection of capital in the long run are 0.458, 0.658, 0.451 and 1.125, respectively.Existence of solution for a fractional differential equation via a new type of $(\psi, F)$-contraction in $b$-metric spaces
https://ijnaa.semnan.ac.ir/article_7132.html
In this paper, we further develop the notion of cyclic $(\alpha, \beta)$-admissible mappings introduced in (\cite{tac}, S. Chandok, K. Tas, A. H. Ansari, \emph{Some fixed point results for TAC-type contractive mappings,} J. Function spaces, 2016, Article ID 1907676, 1--6) and $(\psi, F)$-contraction mappings introduced in ( \cite{wad1}, D. Wardowski, \emph{Solving existence problems via $F$-contractions,} Proceedings of the American Mathematical Society, 146 (4), (2018), 1585--1598), in the framework of $b$-metric spaces. To achieve this, we introduce the notion of $(\alpha,\beta)-S$-admissible mappings and a new class of generalized $(\psi, F)$-contraction types and establish a common fixed point and fixed point results for these classes of mappings in the framework of complete $b$-metric spaces. As an application, we establish the existence and uniqueness of the solutions to differential equations in the framework of fractional derivatives involving Mittag-Leffler kernels via the fixed point technique. The results obtained in this work provide extension as well as substantial generalization and improvement of the fixed point results obtained in \cite{tac,wad1, wad} and several well-known results on fixed point theory and its applications.The strategic use of events to revitalize cities: Najaf as a case study
https://ijnaa.semnan.ac.ir/article_7133.html
The pressures caused by the multiplicity of problems and challenges in the contemporary life of cities have led to the need to reactivate identities and their role in improving economic, social and cultural realities. In addition, making it one of the competing cities towards excellence, using cultural assets and resources, the establishment and promotion of events such as festivals, performances, religious practices and sports tournaments have become a contributing element to urban development strategies around the world, this has always required innovative actions and measures to surround this type of practice. This research attempts to delve into this field to introduce the most importantly effective and influential strategies in the revitalization of cities through events. The problem of research has been identified in the limited knowledge data in dealing with events as an effective strategy in revitalising cities, so the aim of the research seeks to raise the cognitive aspects surrounding the possibilities that contribute to the revitalization and prosperity of cities, through the event as an effective strategy. Moreover, extract the most important dimensions and indicators that include this, as knowledge added to the features of strategic use within the broader development plan and research methodology. To reach conclusions regarding the recommendations of the city of Najaf as a case study in this field.Effects of elasticity and cross-flow Reynolds on visco-elastic fluids across the ground and a porous elliptic plate
https://ijnaa.semnan.ac.ir/article_7134.html
We are concerned with an analysis performed to simulate the steady-state Walter's B' viscoelastic fluid in a 3-D space across the ground and a porous elliptic plate. We study the effect of viscoelasticity and with the help of a suitable resemblance transformation for components of velocity, fundamental equations are then reduced to a set of ODEs which are then solved by the Homotopy analysis method (HAM). Impacts of elasticity and cross-flow Reynolds number are discussed.Graph energies of zero-divisor graphs of finite commutative rings
https://ijnaa.semnan.ac.ir/article_7136.html
&nbsp;In this paper, we investigate some of the graph energies of the zero-divisor graph $\Gamma(R)$ of finite commutative rings $R$. Let $Z(R)$ be the set of zero-divisors of a commutative ring $R$ with non-zero identity and $Z^*(R)=Z(R)\setminus \{0\}$. The zero-divisor graph of $R$, denoted by $\Gamma(R)$, is a simple graph whose vertex set in $Z^*(R)$ and two vertices $u$ and $v$ are adjacent if and only if $uv=vu=0$. We investigate some energies of $\Gamma(R)$ for the commutative rings $R\simeq \mathbb{Z}_{p^2}\times \mathbb{Z}_{q}$, $R\simeq \mathbb{Z}_{p}\times \mathbb{Z}_{p}\times \mathbb{Z}_{p}$ and $R\simeq \mathbb{Z}_{p}\times \mathbb{Z}_{p}\times \mathbb{Z}_{p}\times \mathbb{Z}_{p}$ where $p, q$ the prime numbers.Some discussion on generalizations of metric spaces in fixed point perspective
https://ijnaa.semnan.ac.ir/article_7137.html
The motive of this paper is to provide an understanding of the role of generalizations of metric spaces in a fixed point perspective. For this purpose, the concept of the pseudo non-triangular metric is introduced. Further, we study and analyze the structure of open sets, closed sets, and other topological properties of the new metric. Then, we compare it with JS-metric, strong JS-metric as well as non-triangular metric and observe that pseudo non-triangular metric becomes the bare minimum metric structure required to prove a new fixed point theorem for contractive type mappings. Finally, we establish the Caristi type fixed point theorem, which generalizes some well-known results, including recent developments by Karapinar et al. [15].Landscape view of recommender system techniques based on sentiment analysis
https://ijnaa.semnan.ac.ir/article_7138.html
Over the last several years, sentiment analysis has emerged as one of the most popular applications of machine learning. It enables the identification of a user's attitude from a remark, document, or review. As a result of the development of Big Data, recommender systems (RS) are also finding more use in many aspects of day-to-day living. There are three basic kinds of RS: collaborative filtering, content-based, and hybrid. This article presents a quick description of the recommender systems supplemented with a sentiment analysis module. Sentiment Analysis systems may help recommender systems improve by assessing Web-based reviews.Presenting the model of factors affecting the implementation of the accounting information system in Tehran Stock Exchange Companies
https://ijnaa.semnan.ac.ir/article_7152.html
The main purpose of this study is to identify and present a model of factors affecting the accounting information system in Tehran Stock Exchange companies using a combined approach. The research is descriptive research and a combination of qualitative and quantitative methods has been used. Through structural equations, the researcher examined the research hypotheses in the form of model fit, the results showed that the infrastructure with the effect of 0.905, requirements and policy with 0.880, and transparency with 796, respectively. / 0, organizational arrangements with 0.619 and education and culture with 0.396 have an effect on the accounting information system in listed companies. To present the problems and challenges identified in the companies under study.Stability analysis of harvested fractional-order prey-predator model with Holling type IV response
https://ijnaa.semnan.ac.ir/article_7153.html
We consider a fractional-order prey-predator model with Holling type IV functional response and the effect of harvesting on both populations. The sufficient condition for the existence, uniqueness, non-negativity and boundedness of the solutions are discussed. Moreover, we found all possible equilibrium points and the local and global stability behavior are investigated. Finally, numerical results are presented with some examples.Seizure prediction algorithm based on simulated annealing and machine learning
https://ijnaa.semnan.ac.ir/article_7154.html
Epilepsy is one of the widespread diseases of the central nervous system around the world, which is characterized by seizures with different periods and symptoms among people. Expecting incoming seizures is important and necessary to organize the patient's life and take the necessary precautions to preserve his life. Methods: We used a seizure prediction algorithm based on four stages. In the first round, one of the person's Electroencephalogram (EEG) channels is selected to be the input channel based on a statistical analysis of the person's EEG recordings. In the second round, the preictal period length (PIL) and the length of the sample segment (SEG) used are calculated. In the third round, several features from the selected channel&rsquo;s data are extracted, while in the fourth round, the simulated annealing method is used to find a set of features that achieve the best performance in differentiating between the Preictal and Interictal periods. Results: The results showed an average sensitivity of 77\% and a low false prediction rate of 0.2 by testing the algorithm with the CHB-MIT scalp dataset. Conclusion and Significance: Comparing our results with the results of recent research showed the superiority of our results in terms of using one channel compared to multiple channels in other research.The effect of systematic exchange rate risk on asset returns by using consumption-based asset pricing (Case study: companies admitted to the Tehran Stock Exchange)
https://ijnaa.semnan.ac.ir/article_7158.html
Along with the increase in trade between countries, exchange rate changes are considered as one of the most important risk factors in the financial markets, so these changes affect macroeconomic variables such as the price of imported goods and services, the price of domestically produced goods, and the yield of companies' shares. The purpose of this research is to investigate the relationship between exchange rate changes and asset returns in the framework of a theoretical and empirical model of the consumption-based capital asset pricing model (CCAPM), for this purpose, through the development of a basic CCAPM model with the help of Epstein and Zin's return utility function and entering Imported consumer goods in it, this relationship is examined. The research sample included 69 companies in Tehran Stock Exchange and monthly data from 1390 to 1398. Linear asset pricing model using Fama and Macbeth's two-stage regression method, the effects of exchange rate risk on asset returns were investigated. The estimation results of the two-stage regression model or the linear asset pricing model indicate that the beta coefficient of the exchange rate (exchange rate risk adjustment, $\lambda_1$) is equal to 0.81, that is, there is a positive and significant relationship between the exchange rate risk adjustment and the asset return adjustment.An iterative algorithm for a system of generalized quasi-variational inequalities
https://ijnaa.semnan.ac.ir/article_7159.html
In this paper, we introduce and study a system of generalized quasi-variational inequalities involving nonlinear, nonconvex and nondifferentiable terms in uniformly smooth Banach space. By means of the retraction mapping technique, we prove the existence of solutions for this system of quasi-variational inequalities. Further, we suggest an iterative algorithm for finding the approximate solution of this system and discuss the convergence criteria of the sequences generated by the iterative algorithm under some suitable conditions.Existence of solutions for a $(p,q)$-Laplace equation with Steklov boundary conditions
https://ijnaa.semnan.ac.ir/article_7160.html
Here, the existence of at least one nontrivial solution for the $(p,q)$-Laplacian problem\[\left\{ \begin{array}{lc}div(|\nabla u|^{p-2}\nabla u)+div(|\nabla u|^{q-2}\nabla u)=f(x,u)\qquad &amp; &nbsp;x\in \Omega, \\\\|\nabla u|^{p-2}\frac{\partial u}{\partial n}+ |\nabla u|^{q-2}\frac{\partial u}{\partial n}=g(x,u) &nbsp;&amp; x\in &nbsp;\partial &nbsp;\Omega\end{array} \right.\]is done, where $ \Omega$ is a bounded domain in $\mathbb{R}^N, N\geq 3$ and $q, p\geq 2$, via variational methods.Seismic data analysis using feed forward BP neural network model for earthquake prediction
https://ijnaa.semnan.ac.ir/article_7161.html
Earthquakes are one of the most devastating and costly natural risks that a country faces, as they occur without notice and can result in major injuries or the loss of human lives as a result of damage to the destruction of a large number of houses, buildings, and other rigid structures. The point of this review is to assess the exhibition of Artificial Intelligence strategy in foreseeing the following event tremor utilizing the seismic wave signals. We present a three-layer feed forward BP neural organization model to find factors related to quake greatness M and seven other numerically determined boundaries. As info and target vectors, seismicity markers are utilized.Constructing exact solutions to systems of reaction-diffusion equations
https://ijnaa.semnan.ac.ir/article_7165.html
Many generalizations have been considered on how to construct the exact solutions of one-component Reaction-Diffusion (RD) equations. Two-component RD systems of equations allow for the study of a wider range of physical phenomena as well as dynamical processes than their counterpart one-component RD equations. The most suitable and best way to study certain models is by using two-component RD systems of equations. Moreover, the presence of delay in nonlinear Partial Differential Equations (PDEs) makes them more difficult to study than those without delay. This study introduces some new exact solutions associated with a generalized form of two-component RD systems of equations with delay. The exact solutions for more complex multidimensional reaction-diffusion systems of equations are also derived. Solutions to RD systems of equations with a delay which are presented in this study are applicable for the formulation of test problems to verify the efficiency of numerical methods which are being used to obtain the solutions of nonlinear delay PDEs.Predicting the health expenditures in Iran using TVP models
https://ijnaa.semnan.ac.ir/article_7166.html
The healthcare sector is one of the main sectors of a country's economy which is considered as an infrastructure for the process of development, so most countries believe in special care for this sector. Due to this fact, in this study, the TVP-DMA model is used to identify the affective factors of healthcare expenditures in Iran's economy. Regarding the subject and purpose of the research, the appropriate method in this research is a regression-type correlation. In this study, seasonal data from (1991-92) to (2015-16) was used. The results of the research based on the output of TVP, DMS, and DMA models reflect the fact that the growth rate of liquidity 30, the economic growth rate 50, unemployment 11, the exchange rate 49, the financial development index 66, oil revenues 54, the misery index 7, the deficit budget of 84 periods out of 104 periods which were under study, All have a significant effect on the factors affecting the healthcare expenditures. It can be stated that budget deficit, financial development index, oil revenues and economic growth are the highest and most important indicators for predicting healthcare expenditures in Iran.Bounds of the fifth Toeplitz determinant for the classes of functions with bounded turnings
https://ijnaa.semnan.ac.ir/article_7167.html
&nbsp;In this paper, we investigate the Toeplitz determinant for a family of functions with bounded turnings, we give estimates of the Toeplitz determinants of fifth order for the set $\mathcal{R}$ of univalent functions with bounded turnings in the unit disc. Also, we obtain bounds of the fifth Toeplitz determinant for the subclasses of the class $\mathcal{R}$.The use of ARIMA, ANN and SVR models in time series hybridization with practical application
https://ijnaa.semnan.ac.ir/article_7168.html
Forecasting is one of the important topics in the analysis of time series, as the importance of forecasting in the economic field has emerged in order to achieve economic growth. Therefore, accurate forecasting of time series is one of the most important challenges that we seek to make the best decision, the aim of the research is to suggest employing hybrid models to predict daily crude oil prices. &nbsp;The hybrid model consists of integrating the linear component, which represents Box Jenkins models, and the non-linear component, which represents one of the methods of artificial intelligence, which is the artificial neural network (ANN), support vector regression (SVR) algorithm and it was shown that the proposed hybrid models in the prediction process when conducting simulations for the time series and for different sample sizes and when applying them on the daily crude oil price data, it was more efficient than the single models, as the comparison between the single models and the proposed hybrid models was done by means of the comparison scale, the mean square error (MSE), the results showed that the proposed hybrid models gave more accurate and efficient results, in addition to its ability to predict crude oil prices well.Some notes on the greedy basis for Banach spaces under $\varepsilon$-isometry
https://ijnaa.semnan.ac.ir/article_7170.html
In this paper, we discuss some conditions of a greedy basis for Banach space $X$ under a standard $\varepsilon$-isometry mapping. We show that if $X$ and $Y$ are Banach spaces, $\left(x_n\right)$ is a greedy basis for $X$, and $f:X\to Y$ is a standard $\varepsilon$-isometry, then $\left(f\left(x_n\right)\right)$ is a greedy basis for a subspace of $Y$. As a result, if $f$ is a surjective standard $\varepsilon$-isometry, then $\left(f\left(x_n\right)\right)$ is a greedy basis for $Y$. We also show that ${span\left\{\left(f\left(x_n\right)\right)\right\}}^*$ is isomorphic with $\mathrm{\Psi }\subset Y^*$ where $\mathrm{\Psi }$ is defined as\begin{equation*}&nbsp; &nbsp; \mathrm{\Psi }\mathrm{:=}\overline{span}\left\{{\psi }_n:\ {\psi }_n\in Y^*\ and\ \left|\left\langle x^*_n,x\right\rangle -\left\langle {\psi }_n,f\left(x\right)\right\rangle \right|&lt;3\varepsilon a\right\}\end{equation*}&nbsp;where $\left\|{\psi }_n\right\|=a=\left\|x^*_n\right\|$.Mining association rules for identifying critical factors affecting the implementation of business intelligence systems through WST-WFIM algorithm
https://ijnaa.semnan.ac.ir/article_7171.html
In spite of the various advantages of Business Intelligence Systems (BIS), implementing them brings different challenges. Implementing BIS without considering the related challenges and determinants will increase the total cost and decrease added value for the organization. In this study, a questionnaire is developed to identify the critical factors affecting the implementation of BIS in automotive parts manufacturing companies and analyzed through a data mining technique, namely association rules, and the WST-WFIM algorithm on weighted data. The algorithm aims to extract sets of frequent rules and their weights (determined according to their importance) obtained from an expert panel. Taguchi method was adapted to design the algorithm's optimized parameters in order to obtain more effective rules. After applying the new algorithm to effective weighted factors, the relation and importance of each collection of effective factors are analyzed. The findings showed that, from the experts' viewpoint, the most important factors for successful implementation of BIS include (1) Removing potential negative resistances and barriers in spite of the various advantages of the Business Intelligence Systems (BIS), implementing them brings different challenges. Implementing BIS without considering the related challenges and determinants will increase the total cost and decrease added value for the organization. In this study, a questionnaire is developed to identify the critical factors affecting the implementation of BIS in automotive parts manufacturing companies and analyzed through a data mining technique, namely association rules, and the WST-WFIM algorithm on weighted data. The algorithm aims to extract sets of frequent rules and their weights (determined according to their importance) obtained from an expert panel. Taguchi method was adapted to design the algorithm's optimized parameters in order to obtain more effective rules. After applying the new algorithm to effective weighted factors, the relation and importance of each collection of effective factors are analyzed. The findings showed that, from the experts' viewpoint, the most important factors for successful implementation of BIS include (1) Removing potential negative resistances and barriers to implement BIS, (2) alignment between business strategy and BIS characteristics; and (3) system reliability, flexibility, and scalability. implement BIS, (2) alignment between business strategy and BIS characteristics; and (3) system reliability, flexibility, and scalability.Well-posedness and stability results for a class of nonlinear fourth-order wave equation with variable-exponents
https://ijnaa.semnan.ac.ir/article_7172.html
In this paper, we consider a class of nonlinear fourth-order wave equation with damping and source terms of variable-exponent types. First, by the Faedo-Galerkin approximation method with positive initial energy and suitable conditions on the variable exponents $m(.)$ and $r(.) $, we established the local existence. We also prove that the local solution is global. Finally, the stability estimate of the solution was obtained by using the Komornik inequalityDerivation of some statistics for beta exponential distribution
https://ijnaa.semnan.ac.ir/article_7173.html
We propose a beta exponential distribution that is formed from the logarithm of a random variable with a beta value, as well as a thorough investigation of the distribution's mathematical characteristics. Because we dealt with the beta exponential distribution, we have a clear and understandable way to comprehend the equation and apply it to the actual problem. To do this, we gathered the questions that statisticians find interesting and studied the most significant properties and statistics related to the distribution. Future research will utilize this data to identify specific industrial flaws or inefficiencies as a function of survival. Included are system statistics, BE distributions for graphs, generation functions, moments, and Hazard functions.Investigating the positive and negative impulses of financial policy on the economy; DSGE model (Case study: Iranian economy)
https://ijnaa.semnan.ac.ir/article_7175.html
Financial policies, which are applied with the means of government spending and tax revenues, are among the government's effective levers on macroeconomic variables, which are carried out in order to stabilize economic fluctuations or accelerate economic growth. And for the effectiveness of financial policies, through the application of positive and negative impulses in government spending, to investigate the asymmetric effects of these policies on the variables of total production, private sector production, public sector production, private sector consumption and sector investment. private, using dynamic stochastic general equilibrium models, during the time period of the first quarter of 2019 to the fourth quarter of 2013. The general purpose of this research is to design a stochastic dynamic general equilibrium model for the Iranian economy in order to investigate the effects of fiscal policy impulses on the real production of the Iranian economy. ?" It seems that the effects of positive and negative financial policy impulses on economic growth are significant. The technique used in this research is the Dynamic Stochastic General Equilibrium (DSGE) model, and in order to analyze the data, the dynare program was used in Matlab and Eviews software. The result of the research shows that the positive and negative impulses of government spending have significant but asymmetric effects on macroeconomic variables. Also, the negative impulse effect of government spending (contractionary fiscal policy) is decreasing and greater than the increasing effect of a positive impulse of government expenditures (expansionary fiscal policy).Change in the form of fourth order two-point boundary value problem for solving by Adomian decomposition and homotopy perturbation methods
https://ijnaa.semnan.ac.ir/article_7176.html
In this paper, we convert the fourth-order differential equations with two-point boundary conditions into a differential equation with homogeneous boundary conditions. Because the decomposition methods are closely related to the McLaren series, the McLaren series has a higher accuracy for points close to zero. Then we use Adomian decomposition and homotopy perturbation methods to solve three linear and nonlinear experiments.