2020
11
1
0
0
1

Fixed Point Theorems for Single Valued Mappings Satisfying the Ordered nonExpansive Conditions on Ultrametric and NonArchimedean Normed Spaces
https://ijnaa.semnan.ac.ir/article_3677.html
10.22075/ijnaa.2019.3677
1
In this paper, some fixed point theorems for nonexpansive mappings in partially ordered spherically complete ultrametric spaces are proved. In addition, we investigate the existence of fixed points for nonexpansive mappings in partially ordered nonArchimedean normed spaces. Finally, we give some examples to discuss the assumptions and support our results.
0

1
6


Hamid
Mamghaderi
Faculty of Mathematics, K. N. Toosi University of Technology, P.O. Box 163151618, Tehran, Iran
Iran
hmamghadery@mail.kntu.ac.ir


Hashem
P. Masiha
Faculty of Mathematics, K. N. Toosi University of Technology, P.O. Box 163151618, Tehran, Iran
Iran
masiha@kntu.ac.ir
Fixed point
partially ordered set
nonArchimedean normed space
ultrametric space
nonexpansive mapping
1

Face Recognition by Cognitive Discriminant Features
https://ijnaa.semnan.ac.ir/article_4205.html
10.22075/ijnaa.2020.4205
1
Face recognition is still an active pattern analysis topic. Faces have already been treated as objects or textures, but human face recognition system takes a different approach in face recognition. People refer to faces by their most discriminant features. People usually describe faces in sentences like ``She's snubnosed'' or ``he's got long nose'' or ``he's got round eyes'' and so like. These most discriminant features have been extracted by comparing a face with average face formed in one's mind. We have mathematically formulated the approach and placed importance upon the most discriminant features. We have explained feature processing and classification parts in details. We also explained the train and test phases of the proposed algorithm. We have compared the proposed classification part with 1NN classifier to show the strength of the algorithm and reported the results. We have also compared the whole proposed algorithm with a wellknown face recognition method, Eigenfaces and achieved promising results in different cases.
0

7
20


Iman
Firouzian
Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Iran
Iran
iman.firouzian@shahroodut.ac.ir


Nematallah
Firouzian
Department of strategic management, Bank Melli Iran, Tehran, Iran
Iran
firouzian.bmi@gmail.com
Face recognition
Most discriminant features
average face
Cognitive Pattern Recognition
1

Efficiency of Target Location Scenarios in the MultiTransmitter MultiReceiver Passive Radar
https://ijnaa.semnan.ac.ir/article_4206.html
10.22075/ijnaa.2020.4206
1
Multitransmitter multireceiver passive radar, which locates target in the surveillance area by the reflected signals of the available opportunistic transmitter from the target, is of interest in many applications. In this paper, we investigate different signal processing scenarios in multitransmitter multireceiver passive radar. These scenarios include decentralized processing of reference and surveillance signals, decentralized processing of surveillance signals, and centralized processing of surveillance signals that have different advantages, disadvantages, and requirements. A variety of possible measurements including TDOA, GROA, AOA and their combinations are presented under different scenarios. The Cramer Rao lower band (CRLB) is presented for different signal processing scenarios for the error of the target localization. The efficiency of the target localization for different signal processing scenarios and types of measurements has been investigated by the CRLB. As shown in the simulation results, the combined use of the measurements is always better than their single use. Also centralized and decentralized processing of surveillance signals, by arranging the receiver sensors in the far distances, can have better efficiency than close distance arrangements.
0

21
35


Saeed
Fooladi Talari
Electrical Engineering Department K.N.Toosi University of Technology, Tehran, Iran
Iran
s.fooladi@ee.kntu.ac.ir


Kamal
Mohamedpour
Electrical Engineering Department K.N.Toosi University of Technology, Tehran, Iran
Iran
kmpour@ee.kntu.ac.ir
Passive Radar
MultiTransmitter MultiReceiver Radar
Target Localization
Centralized Signal Processing
Decentralized Signal Processing
1

Finite time blow up of solutions of the Kirchhofftype equation with variable exponents
https://ijnaa.semnan.ac.ir/article_4209.html
10.22075/ijnaa.2019.16022.1841
1
In this work, we investigate the following Kirchhofftype equation with variable exponent nonlinearities$u_{tt}M(‖∇u‖²)△u+u_{t}^{p(x)2}u_{t}=u^{q(x)2}u.$We proved the blow up of solutions in finite time by using modified energy functional method.
0

37
45


Erhan
Pişkin
Dicle University, Department of Mathematics, 21280 Diyarbakır, Turkey
Turkey
episkin@dicle.edu.tr
Blow up
Kirchhofftype equation
Variable exponent
1

Strong convergence results for fixed points of nearly weak uniformly LLipschitzian mappings of IDominated mappings
https://ijnaa.semnan.ac.ir/article_4210.html
10.22075/ijnaa.2020.4210
1
In this paper, we prove strong convergence results for a modified Mann iterative process for a new class of I nearly weak uniformly LLipschitzian mappings in a real Banach space. The class of Inearly weak uniformly LLipschitzian mappings is an interesting generalization of the class of nearly weak uniformly LLipschitzian mappings which inturn is a generalization of the class of nearly uniformly LLipschitzian mappings which inturn generalises uniformly LLipschitzian mappings. Our theorems include some very recent results in fixed point theory and applications, in the context of nearly uniformly LLipschitzian mappings.
0

47
54


Adesanmi
Mogbademu
Research Group in Mathematics and Applications, Department of Mathematics, University of Lagos, Lagos, Nigeria
Nigeria
amogbademu@unilag.edu.ng


Jong
Kim
Department of Mathematics Educations, Kyungam University, Masan, Kyungnam, Republic of Korea, Korea
Korea
jongkyuk@kyungnam.ac.kr
Modified Mann iteration process
Banach space
Fixed point
Inearly weak uniformly LLipschitzian
1

Simultaneous generalizations of known fixed point theorems for a MeirKeeler type condition with applications
https://ijnaa.semnan.ac.ir/article_3676.html
10.22075/ijnaa.2019.3676
1
In this paper, we first establish a new fixed point theorem for a MeirKeeler type condition. As an application, we derive a simultaneous generalization of Banach contraction principle, Kannan's fixed point theorem, Chatterjea's fixed point theorem and other fixed point theorems. Some new fixed point theorems are also obtained.
0

55
66


WeiShih
Du
Department of Mathematics, National Kaohsiung Normal University,
Kaohsiung 82444, Taiwan
Taiwan
wsdu@mail.nknu.edu.tw


Th.M.
Rassias
Department of Mathematics, National Technical University of Athens, Zofrafou Campus, 15780 Athens, Greece
Greece
trassias@math.ntua.gr
Simultaneous generalization
Banach's type contraction
Kannan's type contraction
Chatterjea's type contraction
MeirKeeler's type contraction
Banach contraction principle
Kannan's xed point theorem
Chatterjea's xed point theorem
MeirKeeler's xed point theorem
1

Investigation of Game Between Cells in Occurrence of Genetic Mutations Using Evolutionary Game Theory
https://ijnaa.semnan.ac.ir/article_4211.html
10.22075/ijnaa.2019.18538.2021
1
In this paper, two games that play a role in creating a cancer tumor and suppression are studied using evolutionary game theory and its different modes are analyzed. The first game is the competition between a cancer cell and a healthy cell to receive food through the blood. In the second game, the interaction between the two oncogenes Ras and Myc is examined for cellular deformation
0

67
71


Ali
Bahraini
Department of Mathematics, Faculty of Mathematics, Statistics and Computer Science, Semnan University,
P.O. Box 35195363, Semnan, Iran
Iran
a.bahraini@semnan.ac.ir


Madjid
Eshaghi
Department of Mathematics, Faculty of Mathematics, Statistics and Computer Science, Semnan University,
P.O. Box 35195363, Semnan, Iran
Iran
meshaghi@semnan.ac.ir


Ali
Ghaffari
Department of Mathematics, Faculty of Mathematics, Statistics and Computer Science, Semnan University,
P.O. Box 35195363, Semnan, Iran
Iran
aghaffari@semnan.ac.ir


Mahmoud
Taheri
Department of Medical, Tabriz University of medicine, Tabriz, Iran
Iran
razipathlab@gmail.com
cancer
Genetics
gene
Evolutionary
game theory
1

An Analysis of A Fishing Model with Nonlinear Harvesting Function
https://ijnaa.semnan.ac.ir/article_4217.html
10.22075/ijnaa.2020.4217
1
In this study, considering the importance of how to exploit renewable natural resources, we analyze a fishing model with nonlinear harvesting function in which the players at the equilibrium point do a static game with complete information that, according to the calculations, will cause a waste of energy for both players and so the selection of cooperative strategies along with the agreement between the players is the result of this research.
0

73
80


Elahe
Sorouri
Department of Mathematics, Semnan University, P. O. Box 35195363, Semnan, Iran
Iran
sorouri.e@semnan.ac.ir


Madjid
Eshaghi Gordji
Department of Mathematics, Semnan University, P. O. Box 35195363, Semnan, Iran
Iran
meshaghi@semnan.ac.ir


Reza
Memarbashi
Department of Mathematics, Semnan University, P. O. Box 35195363, Semnan, Iran
Iran
r_memarbashi@semnan.ac.ir
natural resource management
game theory
bioeconomic models
nonlinear dynamical systems
fishery harvest function
1

Improving of Feature Selection in Speech Emotion Recognition Basedon Hybrid Evolutionary Algorithms
https://ijnaa.semnan.ac.ir/article_4227.html
10.22075/ijnaa.2020.4227
1
One of the important issues in speech emotion recognizing is selecting of appropriate feature sets in order to improve the detection rate and classification accuracy. In last studies researchers tried to select the appropriate features for classification by using the selecting and reducing the space of features methods, such as the Fisher and PCA. In this research, a hybrid evolutionary algorithm is proposed which uses support vector machine classifier and cuckoo search algorithm in combination with the genetic algorithm in order to select the optimal features. In the proposed method, at first, a set of characteristics based on the Cepstral, Spectral and Fourier coefficients of the speech signal is extracted and then with the proposed hybrid algorithm, the operation of selecting the optimal feature set is performed. The results of the experiments on the famous Berlin's emotional speech database showed that using this proposed method for selecting the features, increases the classification accuracy to about 93%.
0

81
92


Shadi
Langari
Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Iran
shadilangari@shahroodut.ac.ir


Hossein
Marvi
Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Iran
h.marvi@shahroodut.ac.ir


Morteza
Zahedi
Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Iran
zahedi@shahroodut.ac.ir
Speech Emotion recognition
Feature selection
Evolutionary Algorithm
1

Cystoscopic Image Classification Based on Combining MLP and GA
https://ijnaa.semnan.ac.ir/article_4232.html
10.22075/ijnaa.2020.4232
1
In the past three decades, the use of smart methods in medical diagnostic systems has attracted the attention of many researchers. However, no smart activity has been provided in the field of medical image processing for diagnosis of bladder cancer through cystoscopy images despite the high prevalence in the world. In this paper, a multilayer neural network was applied to classify bladder cystoscopy images. One of the most important issues in training phase of neural networks is determining the learning rate. Because selecting too small or large learning rate leads to slow convergence, volatility and divergence, respectively. Therefore, an algorithm is required to dynamically change the convergence rate. In this respect, an adaptive method was presented for determining the learning rate so that the multilayer neural network could be improved. In this method, the learning rate is determined using a coefficient based on the difference between the accuracy of training and validation according to the output error. In addition, the rate of changes is updated according to the level of weight changes and output error. Another challenge in neural networks is determining the initial weights. In cystoscopy images, randomized initial weights should not be used due to a small number of images collected. Therefore, the genetic algorithm (GA) is applied to determine the initial weight. The proposed method was evaluated on 540 bladder cystoscopy images in three classes of blood in urine, benign and malignant masses. Based on the simulated results, the proposed method achieved a 7% decrease in error and increased the convergence speed of the proposed method in the classification of cystoscopy images, compared to the other competing methods.
0

93
105


Seyyed Mohammad Reza
Hashemi
Faculty of Computer Engineering, Shahroud University of Technology, Semnan, Iran
Iran
smr.hashemi@shahroodut.ac.ir


Hamid
Hassanpour
Faculty of Computer Engineering, Shahroud University of Technology, Semnan, Iran
Iran
h.hassanpour@shahroodut.ac.ir


Ehsan
Kozegar
Faculty of Engineering, East Guilan, University of Guilan, Guilan, Iran
Iran
kozegar@guilan.ac.ir


Tao
Tan
Faculty of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands
Netherlands
t.tan1@tue.nl
Cystoscopy Images
Medical Image Classification
MLP Neural Network
Adaptive Learning Rate
1

Providing an Integrated MultiObjective Model for ClosedLoop Supply Chain under Fuzzy Conditions with Upgral Approach
https://ijnaa.semnan.ac.ir/article_4244.html
10.22075/ijnaa.2020.4244
1
This study was conducted aimed at providing a sustainable multiobjective model of supply chain location, inventory, routing under uncertainty with a passive defense approach, in which the Upgral model was first introduced to the world. The Upgral Paradigm is an integrated model for the locationinventoryrouting problem in a fourlevel supply chain where parameters such as demand, facility cost and inventory costs are taken into account uncertain as triangular fuzzy numbers (TFNs). In this study, the characteristics and capabilities of passive defense in the supply chain, such as "logistical flow rate", "backup path security", "the possibility of resource and equipment deployment", and the dispersion principle were considered for location to increase the resilience of supply chain. The model was solved using Whale Optimization Algorithm (WOA) and NSGAII metaheuristic algorithm. First, a fourobjective mathematical model was proposed for the problem the objectives of which were: 1) minimizing supply chain costs; 2) maximizing social responsibility or social benefits; 3) minimizing environmental impacts; and 4) minimizing risk. Moreover, the experimental sample problems were solved in three small, medium, and large groups using the WOA Algorithm. The results of solving this algorithm were compared with the results of NSGAII one according to the indices including quality, dispersion, uniformity and solution time indices to prove the efficiency of the algorithm. Based on the results, the WOA algorithm had a higher ability to achieve higher quality and nearoptimal solutions than NSGAII algorithm in all cases. The dispersion index values indicated that the WOA Algorithm performed better in exploring and extracting the feasible region. In addition, with respect to the results of the uniformity and the solution time indices, it was found that the NSGAII Algorithm had a lower solution time than the WOA Algorithm and the answer space more uniformly.
0

107
136


HamidReza
Ayoughi
Industrial Management Department of South Tehran Branch, Islamic Azad University, Tehran, Iran
Iran
hamidreza.ayoughi@iran.ir


Hossein
Dehghani Podeh
Department of Management, Faculty of Management, Malek Ashtar University of Technology, Tehran, Iran
Iran
dr.hoseinpodeh@gmail.com


Abbas
Raad
Department of Industrial Management, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran
Iran
araad@sbu.ac.ir


Davood
Talebi
Department of Industrial Management, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran
Iran
talebidavood@yahoo.com
Closedloop supply chain
Sustainability
Passive Defense
Uncertainty
metaheuristic algorithm
1

Woodpecker Mating Algorithm (WMA): a natureinspired algorithm for solving optimization problems
https://ijnaa.semnan.ac.ir/article_4245.html
10.22075/ijnaa.2020.4245
1
Natureinspired metaheuristic algorithms have been a topic of interest for researchers to solve optimization problems in engineering designs and realworld applications, due to their simplicity and flexibility. This paper presents a new natureinspired search algorithm called Woodpecker Mating Algorithm (WMA) and applies it to challenging problems in structural optimization. The WMA is a populationbased metaheuristic algorithm that mimics the mating behavior of woodpeckers. It was inspired by the drumming sound intensity. In WMA, the population of woodpeckers is divided into male and female groups. The female woodpeckers approach the male woodpeckers based on the intensity of their drum sound. An efficiency comparison was drawn between the WMA algorithm and other metaheuristic algorithms by employing 19 benchmark functions(including unimodal, multimodal and composite functions). Moreover, the performance of WMA is compared with 8 of the best metaheuristic algorithms using 13 high dimensional multimodal and unimodal benchmark functions. The assessments and statistical results indicate that the WMA algorithm offers promising results and is capable of outperforming the most recent and popular algorithms proposed in the literature in most of the employed benchmark functions. Moreover, a statistically significant difference was observed compared to the other assessed algorithms. The proposed algorithm produced significant results for a nonconvex, inseparable, and scalable problems.
0

137
157


Morteza
Karimzadeh Parizi
Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran
Iran
mkarimzadeh313@gmail.com


Farshid
Keynia
Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran
Iran
fkeynia@gmail.com


Amid
khatibi Bardsiri
Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran
Iran
khatibi_amid@yahoo.com
Metaheuristic
Optimization
Woodpecker
Drumming
Sound intensity
1

Hilbert–Schmidt Frames: Duality, Weaving and Stability
https://ijnaa.semnan.ac.ir/article_4251.html
10.22075/ijnaa.2020.4251
1
In this paper, we give some sufficient conditions under which perturbations preserve HilbertSchmidt frames. Also show that the canonical dual of a perturbed HilbertSchmidt frame is a perturbation of the canonical dual (alternative dual respectively) of the original HilbertSchmidt frame and discuss best approximation in the set of all dual HilbertSchmidt frames. Next, we apply the woven principle to HilbertSchmidt frames and study the stability of weaving HilbertSchmidt frames under perturbations. Finally, we present sufficient conditions under which perturbations preserve weaving HilbertSchmidt frames and weaving dual HilbertSchmidt frames.
0

159
173


Mehdi
Choubin
Department of Mathematics, Velayat University, Iranshahr, Iran
Iran
m.choubin@gmail.com


Mohammadbagher
Ghaemi
Department of Mathematics, Iran University of Science and Technology, Narmak, Tehran, Iran
Iran
mghaemi@iust.ac.ir


Gwang Hui
Kim
Department of Mathematics, Kangnam University, Yongin, Gyeonggi, 16979, Republic of Korea
Korea
ghkim@kangnam.ac.kr
HilbertSchmidt frames
Weaving frames
Dual frames
Perturbation
1

Experimental Analysis of Wall Flow Pattern and Fluid Shear Stress Effects on Creeping Flow Field in ConvergentDivergent Microchannels
https://ijnaa.semnan.ac.ir/article_4252.html
10.22075/ijnaa.2020.4252
1
The flow of fluids including micron particles in micro channels and manufacturing microfluidics tools have been one of the important topics in last decades and are utilized in different industries. The research procedure is experimental in this work. The experimental tests are carried out on the flow in a convergentdivergent microchannel having 200 $mu$m height. The utilized experimental method in this research is particle tracking based on the xerography technique, observation, record and data processing. The results showed that the velocity of the particles in Ydirection has a great effect on their motion in the convergentdivergent channel. Study of the particles' sedimentation in different Reynolds showed that it can be eliminated the destructive effect of channel obstruction using convergentdivergent channel which is originated from increasing sedimentation in low Reynolds. The shear stress and velocity gradient are two main factors of the particles' velocity in the convergentdivergent channel. The results showed that the shear stress has an excessive impact on the particles' velocity than the velocity gradient. Moreover, besides the upper and bottom walls, side walls affect the particles' velocity. The flow of fluids including micron particles in micro channels and manufacturing microfluidics tools have been one of the important topics in last decades and are utilized in different industries. The research procedure is experimental in this work. The experimental tests are carried out on the flow in a convergentdivergent microchannel having 200 $mu$m height. The utilized experimental method in this research is particle tracking based on the xerography technique, observation, record and data processing. The results showed that the velocity of the particles in Ydirection has a great effect on their motion in the convergentdivergent channel. Study of the particles' sedimentation in different Reynolds showed that it can be eliminated the destructive effect of channel obstruction using convergentdivergent channel which is originated from increasing sedimentation in low Reynolds. The shear stress and velocity gradient are two main factors of the particles' velocity in the convergentdivergent channel. The results showed that the shear stress has an excessive impact on the particles' velocity than the velocity gradient. Moreover, besides the upper and bottom walls, side walls affect the particles' velocity.
0

175
190


Reza
Eftekhari
Department of Mechanical Engineering, Faculty of Engineering, Urmia University, 11 Km Sero Road, 5756151818 Urmia, Iran
Iran
r.eftekhari@urmia.ac.ir


Nader
Pourmahmoud
Department of Mechanical Engineering, Faculty of Engineering, Urmia University, 11 Km Sero Road, 5756151818 Urmia, Iran
Iran
n.pormahmod@urmia.ac.ir


Iraj
Mirzaee
Department of Mechanical Engineering, Faculty of Engineering, Urmia University, 11 Km Sero Road, 5756151818 Urmia, Iran
Iran
i.mirzaee@urmia.ac.ir
SolidLiquid Flow
ConvergentDivergent Microchannel
Particles' Slip Speed
Precipitation
1

(G,$psi$)CiricReichRus contraction on metric space endowed with a graph
https://ijnaa.semnan.ac.ir/article_4256.html
10.22075/ijnaa.2020.4256
1
In this paper, we introduce the (G, $psi$)CiricReichRus contraction on metric space endowed with a graph, such that (X; d) is a metric space, and V (G) is the vertices of G coincides with X. We give an example to show that our results generalize some known results
0

191
197


Shahram
Mirzaee
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Iran
mirzaeeshahram@gmail.com


Madjid
Eshaghi
Department of Mathematics, Semnan University, Iran
Iran
meshaghi@semnan.ac.ir
Metric space, Fixed point, (G
)CiricReichRus type contraction
1

A new approach for computing the exact solutions of DAEs in generalized Hessenberg forms
https://ijnaa.semnan.ac.ir/article_4258.html
10.22075/ijnaa.2018.14644.1769
1
In this paper, we propose a new method, with different approach and economical computing, that presents explicit formulas for the exact solutions of a large class DAEs in Hessenberg forms. First, we illustrate the method for linear timevarying DAEs in Hessenberg forms, in order to show the different approach and also we present an algorithm for proposed method that shows the method is as economic as possible. Then, we describe that the method is efficient for larger classes including special case of nonlinear DAEs in Hessenberg forms. Some examples are presented to illustrate the proposed method.
0

199
206


Mohammad
Golchian
Mathematics and Computer sicences, department Damghan University , Damghan, Iran
Iran
golchian@std.du.ac.ir


mortaza
gachpazan
Department of Applied Mathematics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
Iran
gachpazan@um.ac.ir


seyed hashem
tabasi
department of mathematic and computer scienc
Iran
tabasi@semnan.ac.ir
Differential Algebraic Equations
The Hessenberg Forms
Linear TimeVarying
Linear Systems of Equations
Backward Substitution
1

A Hybrid Approach for Software Development Effort Estimation using Neural networks, Genetic Algorithm, Multiple Linear Regression and Imperialist Competitive Algorithm
https://ijnaa.semnan.ac.ir/article_4259.html
10.22075/ijnaa.2020.4259
1
Nowadays, effort estimation in software development is of great value and significance in project management. Accurate and appropriate cost estimation not only helps customers trust to invest but also has a significant role in logical decision making during project management. Different models of cost estimation are presented and employed to the date, but the models are application specific. In this paper, a threephase hybrid approach is proposed to overcome the problem. In the first phase, features are selected using a combination of genetic algorithm and the perceptron neural network. In the second phase, impact factors are associated to each selected feature using multiple linear regression methods which act as coefficients of influence for each feature. In the last and the third phase, the feature weights are optimized by Imperialist Competitive Algorithm. To compare the proposed model for effort estimation with stateoftheart models, three datasets are chosen as benchmark, namely COCOMO, Maxwell and Albrecht. The datasets are standard and publicly available for assessment. The experiments show promising results and average performance is improved by the proposed model for MMRE performance criterion on the datasets by 23%, 38% and 35%, respectively.
0

207
224


Mahdi
Khazaiepoor
Computer engineering department, Kerman branch, Islamic Azad University, Kerman, Iran
Iran
mkhazaiepoor@gmail.com


Amid
Khatibi Bardsiri
Computer engineering department, Bardsir branch, Islamic Azad University, Bardsir, Iran
Iran
a.khatibi@srbau.ac.ir


Farshid
Keynia
Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran
Iran
fkeynia@gmail.com
Software Development Effort Estimation
Multiple Linear Regression (MLR)
Neural Network
Genetic Algorithm (GA)
Imperialist Competitive Algorithm (ICA)
Maxwell
Albrecht
COCOMO
1

A Method for Identifying Congestion Using NonRadial Models in Data Envelopment Analysis
https://ijnaa.semnan.ac.ir/article_4264.html
10.22075/ijnaa.2020.4264
1
Data envelopment Analysis) DEA) is a nonparametric method that aims to use scientific methods in order to investigate the performance of Decision Making Unit (DMU). One of the interesting subjects in DEA is estimation of congestion of DMUs. Congestion problem has an important role in economy because the congestion mostly occurs in the input which is itself cost based, thus by eliminating congestion, the cost reduces as well. Therefore, detecting and reducing congestion both have many benefits. Many methods have been proposed to detect congestion in DEA. In this paper, we are going to present a new method to identify congestion based on the definition of congestion. The proposed method in this paper has the following advantages compare with other methods; Firstly, it is less complicated than other methods. Secondly, our method is able to identify the congestion and its degree correctly.thirdly the new model identifies the congestion of all units. Finally, the proposed method in this paper has nonradial movement.
0

225
235


Alireza
Salehi
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Iran
alireza.salehi91@yahoo.com


F
Hosseinzadehlotfi
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Iran
hosseinzadeh_lotfi@srbiau.ac.ir


Mohsen
RostamyMalkhalifeh
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Iran
mohsen_rostamy@yahoo.com
Data Envelopment Analysis
Efficiency
Inefficiency
Congestion
nonRadial models
1

Presenting a Differential Equation Strengthened by the Cross Braces for Roof System
https://ijnaa.semnan.ac.ir/article_4273.html
10.22075/ijnaa.2020.4273
1
Plate girders structures is a major industry, much used in the systems covered by these beams, reduce deflection and decrease the maximum bending moment can be considered as a development methodology that way, by the cross beams or braced beams element perpendicular to the girders is provided. In this paper, the effect of stiffness and distance elements development (braced beams) are studied. Differential equation of degree four governing the behavior of the partial structures a quadratic relationship is determined by solving the following mathematical transformations and the fundamental equations are derived. The resulting equations are solved by a practical problem and the answer to the problem. The modeling results are compared with the SAP2000 program shows that highly accurate implementation and compliance. It is thus stiffness changing elements within the cross can be different amounts of stress, bending moment and improved cover and roof system and regulation forces to be calculated. In the proposed method by changing several parameters affecting. Calculate the amount of stress and reduced bending moments and an optional stress adjustment achieved. Other factors, including the backing, boundary conditions, a subsidiary of loading and shooting the junction depth of the main beam are effective in regulating stress.
0

237
246


Nobakht
Bakhtiari
Islamic Azad University, Marageh Branch, Marageh, Iran
Iran
nobakht.bakhtyari@gmail.com


Nohali
Agayof
Faculty of Civil Engineering, Azerbaijan Architecture and Construction University, Baku, Azerbaijan
Azerbaijan
Girders
Strengthened
Brace
Stiffness
1

Caratheodory's Inequality on the Right half plane
https://ijnaa.semnan.ac.ir/article_4274.html
10.22075/ijnaa.2020.4274
1
In this paper, a boundary version of Caratheodory's inequality on the right half plane is investigated. $Z(s)$ is an analytic function defined in the right half of the $s$plane.We derive inequalities for the modulus of $Z(s)$ function, $Z′(0)$, by assuming the $Z(s)$ function is also analytic at the boundary point $s = 0$ on the imaginary axis and finally, the sharpness of these inequalities are proved.
0

247
258


Bulent
Ornek
Department of Computer Engineering, Amasya University, MerkezAmasya 05100, Turkey
Turkey
nafi.ornek@amasya.edu.tr
Analytic function
Schwarz lemma
Caratheodory's inequality
1

Modelling the Cognitive Financial Group Interconnected Risk Network
https://ijnaa.semnan.ac.ir/article_4275.html
10.22075/ijnaa.2020.4275
1
In this paper, the new methodology of interconnection network among the various corporations which are the members of a single financial group is studied and developed. For the first time, each company is observed individually and the cognitive risk factors of each are monitored by new introduced indexes. The risk contagion effect on the main node of the holding is calculated respectively. The new indexes help the management to monitor the entire financial group performance. Also guide the main node of the holdings to make appropriate decisions relating to any investment, profit returning and risk of the financial group nodes. It is shown, if a company defaults to meet its obligations, how much this will affect the other companies of the network and the main node of the holding. With the use of new developed methodological indexes, the topology of the financial group network is displayed graphically for the first time and the mathematical structure is developed as well. Finally, the illustrative results are apparent in a new introduced software which is coded and tested with real data and the results show high accuracy.
0

259
276


Mahboobeh.
Ezzodin
Department of Mathematics, Faculty of Mathematics, Statistics & Computer Science, Semnan University, Iran
Iran


Alireza.
Bahiraie
Department of Mathematics, Faculty of Mathematics, Statistics & Computer Science, Semnan University, Iran
Iran


A. K. M.
Azhar
Institute for Mathematical Research, University Putra Malaysia, Serdang, Selangor, Malaysia
Malaysia
Financial Group
contagion
Risk Management
exposure
1

Diamond$phi_h$ dynamics on time scales with an application to economics
https://ijnaa.semnan.ac.ir/article_4276.html
10.22075/ijnaa.2020.19155.2059
1
Conventional dynamic models in economics are usually expressed in discrete or continuous time. A new modelling techniquetime scales calculusunifies both of these approaches into a general framework. We present and construct a dynamic optimization problem from economics in which the utility function is $phi_{h}$concave and the value function and constraints are on different time scales. The calculus of variations and optimal control are employed, with the aid of the newly introduced diamond$phi_{h}$ dynamic calculus by the authors [12] on time scales, to obtain a solution. The HermiteHadamard inequality with the diamond$phi_{h}$ dynamic integral follows a proof of the new model. The new diamond$phi_{h}$ time scale model unifies various related existing models involving general and more complex time domains.
0

277
290


Fagbemigun
Opeyemi
Department of Mathematics, Faculty of Science, University of Lagos, Akoka, Nigeria
Nigeria
opeyemifagbemigun@gmail.com


Mogbademu
Alao
Department of Mathematics, Faculty of Science, University of Lagos, Lagos, Nigeria
Nigeria
amogbademu@unilag.edu.ng


Olaleru
Olajiire
Department of Mathematics, Faculty of Science, University of Lagos, Lagos, Nigeria
Nigeria
jolaleru@unilag.edu.ng
time scales
$phi_{h}$concave
diamond$phi_{h}$
HermiteHadamard
dynamic model
1

A new type of approximation for cubic functional equations in Lipschitz spaces
https://ijnaa.semnan.ac.ir/article_4277.html
10.22075/ijnaa.2020.4277
1
Let $mathcal{G}$ be an abelian group with a metric $d, mathcal{E}$ be a normed space and $f :mathcal{G} longrightarrow mathcal{E}$ be a given function. We define difference $C_{3,1} f $ by the formula$$C_{3,1} f(x,y) = 3f(x + y) + 3f(x − y) + 48f(x) − f(3x + y) − f(3x − y)$$for every $x,y in mathcal{G}$. Under some assumptions about $f$ and $C_{3,1} f $, we show that if $C_{3,1} f $ is Lipschitz, then there exists a cubic function $C :mathcal{G} longrightarrow mathcal{E}$ such that $f − C$ is Lipschitz with the same constant. Moreover, we study the approximation of the equality $C_{3,1} f(x,y) = 0$ in the Lipschitz norms.
0

291
300


Mahshid
Dashti
Department of Mathematics, Faculty of Mathematical Sciences and Statistics, Malayer University, Malayer, Iran
Iran
dashti.mahshid@gmail.com


Hamid
Khodaei
Department of Mathematics, Faculty of Mathematical Sciences and Statistics, Malayer University, Malayer, Iran
Iran
hkhodaei.math @ yahoo.com
Approximation
dLipschitz
Left invariant mean
Cubic difference
Lipschitz norm
1

Comparing performance of metaheuristic algorithms for finding the optimum structure of CNN for face recognition
https://ijnaa.semnan.ac.ir/article_4296.html
10.22075/ijnaa.2020.4296
1
Local and global based methods are two main trends for face recognition. Local approaches extract salient features by processing different parts of the image whereas global approaches find a general template for face of each person. Unfortunately, most global approaches work under controlled environments and they are sensitive to changes in the illumination. On the other hand, local approaches are more robust but finding their optimal parameters is a challenging task. This work proposes a new localbased approach that automatically tunes its parameters. The proposed method incorporates different techniques. In the first step, convolutional neural network (CNN) is employed as a trainable feature extraction procedure. In the second step, different metaheuristic methods are merged with CNN so that its best structure is found automatically. Finally, in the last step the decision is made by employing proper multiclass support vector machine (SVM). In this fashion a fully automated system is developed that is selftuned and do not need manual adjustments. Simulation results demonstrate efficacy of the proposed method.
0

301
319


Arash
Rikhtegar
Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Iran
a.rikhtegar@srbiau.ac.ir


Mohammad
Pooyan
Engineering faculty, Shahed University, Tehran, Iran
Iran
pooyan@shahed.ac.ir


Mohammad Taghi
Manzuri
Computer Engineering Department, Sharif University of Technology, Tehran, Iran
Iran
manzuri@sharif.edu
Face recognition
Convolutional Neural Network
Support Vector Machine
MultiClass Classification
metaheuristic algorithm
1

A Novel Set of Contextual Features for Web Spam Detection
https://ijnaa.semnan.ac.ir/article_4297.html
10.22075/ijnaa.2020.4297
1
Web spam is one of the significant problems facing search engines. It wastes sources and time, decreases the quality of results and leads to user discontent. The two main approaches to the detection spam web pages are link and contentbased analysis. In this study, we mainly focus on contentbased analysis in both uservisible text and the source code of a web page to propose a set of features for web spam detection. we explore the relationship between types and frequency of HTML (HyperText Markup Language) tags used in a web page source code. We also examine the structure of the URL as the other source of information. Finally, the content of a web page visible to the user is considered semantically in order to identify relevance among the number of the existing topics in the text as well as the coherence of a text using Latent Dirichlet Allocation. Experimental results show that the proposed features increases the index of balanced accuracy from 0.33 to 0.69 and improves the web spam detection rate.
0

321
339


Faeze
Asdaghi
Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Iran
asdaghi@shahroodut.ac.ir


Ali
Soleimani
Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Iran
solimani_ali@shahroodut.ac.ir


Morteza
Zahedi
Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Iran
zahedi@shahroodut.ac.ir
web spam
contentbased features
URL structure
HTML tags
topic modeling
Latent Dirichlet Allocation
1

Investigating Economic Factors Affecting Air Pollution in Developing and Developed Countries; A Spatial Regime Model Approach
https://ijnaa.semnan.ac.ir/article_4298.html
10.22075/ijnaa.2020.4298
1
The relationship between the variables e.g. economic growth, energy consumption, foreign direct investment, and the growth of pollution are complex issues, and important for the countries, which are planning a sustainable development strategy. On the other hand, considering the effects of geopolitical spillover on environmental economic issues, this paper studies the effective economic factors on carbon dioxide emissions in the developing and developed countries over the period 1993–2016, by employing the approach of the spatial regime panel. Results show that there are spatial effects and spatial heterogeneity between the variables. Accordingly, in this paper, we employed the regression approach of the spatial regime panel. Results show that the how variables affect the spatial regimes varies, and countries that have the structure of the first or second regime have different effects in terms of size and significance of the coefficients. So that in the study of the effect of spatial autoregression variable in the developing countries in the first spatial structure regime, there are neighboring effects of carbon dioxide emissions; while in the second spatial structure regime, there is no neighboring effects in the dependent variable.
0

341
353


Somayeh
Alipourfard
PhD Candidate of Economics, University of Razi, Kermanshah.Iran
Iran
alipoorfardsomayeh@gmail.com


Shahram
Fattahi
Department of Social Sciences, University of Razi, Kermanshah, Iran
Iran
sfattahi@razi.ac.ir


Sohrab
Delangizan
Department of Social Sciences, University of Razi, Kermanshah, Iran
Iran
delangizan@razi.ac.ir
Carbon Dioxide Emission
Economic Factors
Kuznets Theory
spatial spillover
Regression Panel of Spatial Regime
1

DecisionMaking Modeling and Evaluation of ETrust in B2C ECommerce with Using Colored Petri Nets
https://ijnaa.semnan.ac.ir/article_4299.html
10.22075/ijnaa.2020.4299
1
Since doing any transaction in online environment requires mutual trust, thus, according to an electronicenvironment that lack facetoface meeting of both parties and the possibility of visible and physical touch of what is being traded, the security and trust will lead to doing transaction with the acceptance of risk. This issue is the major challenge in gaining trust in ecommerce. In this paper, decisionmaking in ecommerce was modeled and then the level of trust in ecommerce was assessed using CPNets by identifying, introducing and evaluating the variables affecting decisionmaking. The results of the study indicate that corporate factors and business model have the greatest impact on customers' decisionmaking to trust or distrust in ecommerce for fulfilment of every etransactions.
0

355
366


Issa
Najafi
Computer Engineering Department , Quchan University of Technology , Quchan , Iran
Iran
najafy@qiet.ac.ir
ETrust
Ecommerce
DecisionMaking
modeling
Evaluation
CPNets (Colored Petri nets)
1

Generator maintenance scheduling using discrete firefly algorithm
https://ijnaa.semnan.ac.ir/article_4311.html
10.22075/ijnaa.2020.4311
1
Maintenance scheduling of power generators is of particular importance for power grids from both economic and reliability aspects. In this paper, the discrete firefly algorithm is implemented for maintenance scheduling of generators. This project utilizes the combination of the discrete firefly algorithm, as the main tool, and heuristic methods, as the secondary tool, for constructing initial solutions and searching the solution space. The paper investigates a case study consisting of a 32generator problem formulated as a mixedinteger problem. The performance of the proposed method is compared with those in the literature and its strengths and weaknesses are discussed. The obtained results showed that performance of the proposed algorithm is not highly affected by its parameters’ values and is capable of providing multiple efficient maintenance schedules in a desirable time.
0

367
379


Mohsen
Saffarian
Department of Computer and Industrial Engineering, Birjand University of Technology, Birjand, Iran
Iran
saffarian@birjandut.ac.ir


Seyed Mahmood
Kazemi
Department of Computer and Industrial Engineering, Birjand University of Technology, Birjand, Iran
Iran
kazemims@birjandut.ac.ir


Mohammad
Baharshahi
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Iran
m.baharshahi@yahoo.com
Generator maintenance scheduling
Discrete firefly algorithm
Reliability
1

An Intelligent Adaptive Overcurrent Protection System for an Automated Microgrid in Islanded and GridConnected Operation Modes
https://ijnaa.semnan.ac.ir/article_4320.html
10.22075/ijnaa.2020.4320
1
As the penetration of distributed generation sources increases at the distribution level, the necessity of designing microgrids is highlighted. Microgrids can operate in either islanded (separated from the utility grid) or gridconnected mode. Apart from the technical and economic benefits of microgrids, they may cause some protection issues in distribution systems. The most important of these issues is the difference between the short circuit levels in islanded and gridconnected operation modes. In this paper, an intelligent overcurrent relay that can adapt to the microgrid operation mode is proposed; that is, the relay detects the microgrid operation mode by means of an adaptive algorithm. The proposed adaptive method optimizes the accuracy and speed of the algorithm for detecting the microgrid operation mode. Then, the optimal settings that have been already stored in the relay are activated according to the microgrid operation mode. All internal processes of the relay use the voltage and current sampled at the relay location. As a result, the relay can be used in all networks without communication infrastructures. Finally, the proposed method is implemented in a sample microgrid. The superiority of the intelligent relay performance over conventional overcurrent relays is shown by numerical results.
0

381
394


Mahmood
Sadoughi
Department of Electrical and Electronic Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran
Iran
m.sadoughi@iaushahrood.ac.ir


Mehrdad
Hojjat
Department of Electrical and Electronic Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran
Iran
mehrdad.hojat@iaushahrood.ac.ir


Mohamad
Hosseini Abardeh
Department of Electrical and Electronic Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran
Iran
mohamad.hosseini@mail.um.ac.ir
Overcurrent Relay
Microgrid
Islanded operation
Adaptive Algorithm
Coordination
Convolutional Neural Network
1

Common fixed point theorems on Branciari metric spaces via simulation functions
https://ijnaa.semnan.ac.ir/article_4326.html
10.22075/ijnaa.2020.17945.1978
1
In this article, we secure couple of exciting common fixed point theorems via simulation functions in Branciari metric spaces context. These results improve, complement and generalize the rescent fixed point theorems of Aydi et al. [Results Math. 71 (2017), no. 12, 7392] and others. Our findings are aptly endorsed by some interesting nontrivial examples which also illustrate the usefulness of these generalizations. Finally, we discuss an application of our conceived results in certain integralequations.
0

395
411


Hosein
Lakzian
Department of Mathematics, Payame Noor University, 193954697 Tehran, I.R. of Iran.
Iran
h_lakzian@pnu.ac.ir


Ankush
Chanda
Department of Mathematics,
National Institute of Technology Durgapur
16
Durgapur, India
India
ankushchanda8@gmail.com


Hassen
Aydi
Universite de Sousse, Institut Superieur d Informatique et des Techniques de Communication, Tunisia
Tunisia
hassen.aydi@isima.rnu.tn
Fixed point
simulation functions
Branciari metric space
alphaadmissible functions
1

Extension of Darbo fixedpoint theorem to illustrate existence of the solutions of some nonlinear functional stochastic integral equations
https://ijnaa.semnan.ac.ir/article_4327.html
10.22075/ijnaa.2018.14031.1743
1
In this paper, Darbo fixedpoint theorem is employed as a mathematical tool to examine existence of the solution of some nonlinear functional stochastic integral equations which arise in many physical, chemical and biological problems. Throughout this paper, we consider (C[0, 1]; ∥.∥ ) as Banach space equipped with uniform norm.
0

413
421


Farshid
Mirzaee
Malayer University
Iran
f.mirzaee@malayeru.ac.ir


Nasrin
Samadyar
Department of mathematics, Malayer University, Malayer, Iran.
Iran
nasrin.samadyar@stu.malayeru.ac.ir
Nonlinear functional integral equations
Stochastic integral equations
Fixedpoint theorem
Banach space
Measure of noncompactness
1

Designing a Hybrid Model of Data Envelopment Analysis with Taguchi Approach to Optimize Multiple Response Banks Performance
https://ijnaa.semnan.ac.ir/article_4330.html
10.22075/ijnaa.2020.4330
1
Many organizations (including banks) have a multistep process and their operations are a continuous process in successive periods. The Taguchi method is an efficient way to optimize a single quality response. However, in practice most products / processes have more than one qualitative response. Recently, the multianswer question in the Taguchi method has attracted considerable research attention. Therefore, this study presents an efficient approach to multiresponse problem solving in Taguchi method using hybrid data envelopment analysis (DEA) model. Each experiment is discussed in the Taguchi Orthogonal Array (OA) as a decision unit (DMU) with multiple input and / or output response sets. Each DMU is evaluated by a hybrid model. The sequential DUM productivity value is then used to decide the optimal factor levels for the multiresponse problem. The computational results showed that the proposed approach provides the most anticipated improvement in PCA, DEA (DEAR) and other available techniques. The suggestion may be of great help to managers in solving multiresponse problems in production programs in the Taguchi method. Many organizations (including banks) have a multistep process and their operations are a continuous process in successive periods. The Taguchi method is an efficient way to optimize a single quality response. However, in practice most products / processes have more than one qualitative response. Recently, the multianswer question in the Taguchi method has attracted considerable research attention. Therefore, this study presents an efficient approach to multiresponse problem solving in Taguchi method using hybrid data envelopment analysis (DEA) model. Each experiment is discussed in the Taguchi Orthogonal Array (OA) as a decision unit (DMU) with multiple input and / or output response sets. Each DMU is evaluated by a hybrid model. The sequential DUM productivity value is then used to decide the optimal factor levels for the multiresponse problem. The computational results showed that the proposed approach provides the most anticipated improvement in PCA, DEA (DEAR) and other available techniques. The suggestion may be of great help to managers in solving multiresponse problems in production programs in the Taguchi method.
0

423
435


Mohammad Reza
Jafari
Department of Industrial Engineering, Payame Noor University, Tehran, Iran
Iran
jafari_mohammadreza@yahoo.com


Gholamreza
Esmailian
Department of Industrial Engineering, Payame Noor University, Tehran, Iran
Iran
gre@pnu.ac.ir


Meysam
Jafari Eskandari
Department of Industrial Engineering, Payame Noor University, Tehran, Iran
Iran
jafari@bmn.ir


Reza
TavakkoliMoghaddam
Department of Industrial Engineering, University of Tehran, Tehran, Iran
Iran
tavakoli@ut.ac.ir
Multilevel Programming
Taguchi method
Data Envelopment Analysis
Hybrid Model
Bank
1

Nonlinear Effect of Changing the Temperature to Overcome Covid19
https://ijnaa.semnan.ac.ir/article_4355.html
10.22075/ijnaa.2020.4355
1
In late December 2019, a novel coronavirus nominated SARSCoV2 which causing the disease Covid19 appeared in Wuhan, China. This viral pneumonia such a creeping death took the lives of many people in the whole world. In this brief, we have used nonlinear effect of changing the temperature to destroy COVID19 from an infected body.
0

437
438


Keivan
Navi
Shahid Beheshti University, Tehran, Iran
Iran
navi@sbu.ac.ir


Elika
Navi
Shahid Beheshti University, Tehran, Iran
Iran
COVID19
SARSCoV2
Nonlinear effect
1

Secondorder nondifferentiable multiobjective mixed type fractional programming programming problems
https://ijnaa.semnan.ac.ir/article_4356.html
10.22075/ijnaa.2019.11445.1561
1
The motivation behind this paper is to study a class of nondifferentiable multiobjective fractional programming problem in which each component of objective functions contains a term including the support function of a compact convex set. For a differentiable function, we consider the class of secondorder $(V,rho,theta)$type$I$ convex functions. Further, we formulate unified (mixed type) dual models and derive duality relations under aforesaid assumptions.
0

439
451


Ramu
Dubey
Department of Mathematics, J.C. Bose University of Science and Technology, YMCA, Faridabad121006, Haryana, India
India
rdubeyjiya@gmail.com


Vishnu
Narayan Mishra
Department of Mathematics, Indira Gandhi National Tribal University, Lalpur, Amarkantak, Anuppur 484 887, Madhya
Pradesh, India
India
duality
support function
typeI functions
unified dual
efficient solutions
1

A new proof of SingerWermer Theorem with some results on {g, h}derivations.
https://ijnaa.semnan.ac.ir/article_4360.html
10.22075/ijnaa.2019.17189.1915
1
Singer and Wermer proved that if $mathcal{A}$ is a commutative Banach algebra and $d: mathcal{A}longrightarrow mathcal{A}$ is a continuous derivation, then $d(mathcal{A}) ⊆ rad(mathcal{A})$, where $rad(mathcal{A})$ denotes the Jacobson radical of $mathcal{A}$. In this paper, we establish a new proof of that theorem. Moreover, we prove that every continuous Jordan derivation on a finite dimensional Banach algebra, under certain conditions, is identically zero. As another objective of this article, we study {g, h}derivations on algebras. In this regard, we prove that if f is a {g, h}derivation on a unital algebra, then f, g and h are generalized derivations. Additionally, we achieve some results concerning the automatic continuity of {g, h}derivations on Banach algebras. In the last section of the article, we introduce the concept of a {g, h}homomorphism and then we present a characterization of it under certain conditions.
0

453
471


Amin
Hosseini
Department of Mathematics, Kashmar Higher Education Institute, Kashmar, Iran
Iran
mar.hormozi65@gmail.com
Derivation
Jordan derivation
SingerWermer Theorem
{g, h}derivation
{g, h}homomorphism
1

The new results in extended $b$metric spaces and applications
https://ijnaa.semnan.ac.ir/article_4361.html
10.22075/ijnaa.2019.18239.1998
1
In this paper, we give a proof of the results of Miculescu and Mihail [J. Fixed Point Theory Appl. 19, 21532163 (2017)] and Suzuki [J. Inequal. Appl. 2017, Paper No. 256, 11 p.] in extended $b$metric spaces. Also we give some applications of our result.
0

473
482


Zoran
Mitrovic
Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam
Vietnam
zoran.mitrovic@tdtu.edu.vn


Huseyin
Işık
Department of Mathematics, Mus Alparslan University, 49250 Mus, Turkey
Turkey
isikhuseyin76@gmail.com


Stojan
Radenovic
Department of Mathematics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
Saudi Arabia
radens@beotel.rs
Fixed point
bmetric space
Multivalued mapping
1

Improving the performance of video Collaborative Filtering Recommender Systems using Optimization Algorithm
https://ijnaa.semnan.ac.ir/article_4362.html
10.22075/ijnaa.2020.19127.2058
1
The growth amount of information on the Web makes it difficult for many web users to make decision and choose either information or goods. Thus, a recommender system is an approach that helps users to obtain their needs according to her/his preference within a massive amount of information rapidly without waste of time. The main advantage of using a recommender system in any online shopping or social media like Amazon, Netflix and Facebook is to increase the percentage of overall profits, customer satisfaction and retention. In this paper, we introduce an approach to increase the accuracy and to improve the performance of collaborative filtering recommender system. In this paper a hybrid approach is proposed to improve the performance of video collaborative filtering recommender system based on clustering and evolutionary algorithm. Proposed approach combines kmeans clustering algorithm and two different evolutionary algorithms which are Accelerated Particle Swarm Optimization Algorithm (APSO) and Forest Optimization Algorithm (FOA). The main aim of this paper is to increase the accuracy of recommendation of userbased collaborative filtering video recommender system. Evaluation and computational results on the MovieLens dataset show that the proposed method has a better performance than the other related methods.
0

483
495


Nasim
Tohidi
Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran
Iran
n.tohidi@email.kntu.ac.ir


Chitra
Dadkhah
Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran
Iran
dadkhah@kntu.ac.ir
recommender system
accelerated particle swarm optimization
forest optimization algorithm
collaborative filtering
Clustering
1

Analysis, Measurement, and Evaluation of Sustainable Development in Aleshtar City using AHPFuzzy and TOPSIS Models
https://ijnaa.semnan.ac.ir/article_4365.html
10.22075/ijnaa.2020.4365
1
The sustainable development denotes the balanced status among various dimensions of development that aims to improve conditions of quality of life for the human. Urban sustainable development is deemed as the ideal objective for the planners and urban development directors in order to exploit suitably from the resources and to establish balanced relationship among human and community and nature. The present research mainly aims to extract and measure parameters of urban sustainable development in 4 regions in Aleshtar city (Lorestan Province Iran). This study is an applied research in terms of goal and descriptive analytical type in terms of methodology and based on librarian and field studies. The selected parameters were collected at two phases by study on backgrounds (research projects, statistical newsletters and books) and employing votes and comments from experts (using Delphi technique and extraction from comments of academic theorists and directors of relevant organizations) and they were merged together using Delphi technique. Parameters were weighted and analyzed by means of two models (TOPSIS and AHPFuzzy) after extraction and they were interpolated by GIS software and using Semivariogram tool. The research findings show that Region3 has the highest rank (weight value= 0.627). After this region, Regions 2, 4 and 1 have devoted subsequent preferences with weighted values of 0.602, 0.578 and 0.541, respectively. Some strategies are suggested in order to moderate parameters of urban sustainability throughout regions of Aleshtar city including rising awareness of city dwellers about urban sustainable development plans, making the inhabitants familiar with parameters of a suitable city and creation and developing of a dynamic transportation system and establishing healthy housing in Regions 1, 2 and 4, increasing area of green space, establishing healthcare administration in Aleshtar Municipality and creating healthcare medical institutes and centers etc.
0

497
510


Ehsan
Alipouri
Department of Geography and Urban Planning, Islamic Azad University, Science and Research Branch, Tehran, Iran
Iran
ehsan.alipoori@yahoo.com


Rahim
Sarvar
Department of Geography and Urban Planning, Islamic Azad University, Science and Research Branch, Tehran, Iran
Iran
sarvar83@gmail.com


Majid
Vali Shariat Panahi
Department of Geography, Islamic Azad University, Yadegar Imam Branch, Tehran, Iran
Iran
m.shareeatpanahi@iausr.ac.ir
extraction
Measurement
parameter
Sustainable development
Aleshtar
1

Fundamental Movements Investigation of Children with Specific Learning Disorder Based on Multivariate Variance Analysis
https://ijnaa.semnan.ac.ir/article_4366.html
10.22075/ijnaa.2020.4366
1
Background and objective: The motor is the base of learning and mental processes. This shows the importance of motor impairment in people with specific learning disorder. The purpose of this study is to compare the grasping, pulling& releasing movements in children with specific learning disorder with normal children. Materials and Methods: The present study is descriptive, casual comparative (post facto), in terms of its methodology. The study population includes all elementary school students in Tehran, studying in the academic year of 201415. A sample of 40 children with specific learning disorder and 40 normal children is selected using available sampling method. Subjects are homogenized in terms of age and grade. Then the researchermade test of fundamental movement is administered on them. Data are analyzed using multivariate analysis of variance. Results: The findings show a significant difference in the grasping, pulling& releasing movements between two groups. According to the findings, it can be concluded that the grasping, pulling& releasing movements of children with specific learning disorder are defective compared to normal children. Conclusion: The first behavioral response of the child is a type of movement that is significant in the learning process. The fundamental movements of children with specific learning disorder are much different from that of normal children, the rehabilitation of which can improve the focus and attention of these children. Findings of the present study can be useful to psychologists, families and schools.
0

511
524


Maryam
Asaseh
Department of educating exceptional children, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Iran
m.asase@srbiau.ac.ir
grasping
pulling
releasing
specific learning disorder
1

Proposing a structural equation model for systematic management on incident costs
https://ijnaa.semnan.ac.ir/article_4371.html
10.22075/ijnaa.2020.4371
1
This study examines the identification of economic indicators (direct and indirect costs) of occupational accidents. The purpose of this study is to propose a structural equation model for the systematic management of incident costs. The research is applieddevelopmental design. The statistical population of the study was 10,000 experts in the oil, gas and petrochemical industries, 370 of whom were randomly selected using Morgan table. Thus, the researcher distributed 450 questionnaires, of which 384 questionnaires were analyzed. The research tools included the researchermade questionnaires. In the first stage, this questionnaire was evaluated using fuzzy Delphi method and from 51 initial indicators, we reached 46 final indicators. Data analysis was performed using SPSS and SmartPLS software. The results showed that emergency action factors (dealing with incident / initial costs of accidents, costs of investigation and examination of accidents, costs related to damages and compensation, costs of work and incident (alternative costs of individuals), products production costs / service production, cost of marketing activities , retaining reputation and work credit, and finally the factor of restarting work activities are the ability to measure economic variables (direct and indirect costs) of occupational accidents. The fit indices of the model showed that the study model had acceptable fit.
0

525
536


Hossein
Rahmani
Department of Environmental management, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Iran


Mohammadreza
Miri Lavasani
Department of Accounting, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Iran


Mahnaz
Mirza Ebrahim Tehrani
Department of Environmental management, Tehran North Branch, Islamic Azad University, Tehran, Iran.
Iran


Farhad
Hosseinzadeh Lotfi
Department of statistics, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Iran
hosseinzadeh_lotf@yahoo.com
Economic indicators
direct costs
indirect costs
occupational accidents