2022
13
1
0
0
1

Solvability and numerical method for nonlinear Volterra integral equations by using Petryshyn’s fixed point theorem
https://ijnaa.semnan.ac.ir/article_5442.html
10.22075/ijnaa.2021.22858.2422
1
In this paper, utilizing the technique of Petryshyn’s fixed point theorem in Banach algebra, we analyze the existence of solution for functional integral equations, which includes as special cases many functional integral equations that arise in various branches of nonlinear analysis and its application. Finally, we introduce the numerical method formed by modified homotopy perturbation approach to resolving the problem with acceptable accuracy.
0

1
28


Amar
Deep
PDPMIIITDM, Jabalpur 482005, India
India
amar54072@gmail.com


Ashish
Kumar
Govt. PG college Bina 470113, India
India
ashishgulia1992@gmail.com


Syed
Abbas
IIT, Mandi 175005, India
India
abbas@iitmandi.ac.in


Mohsen
Rabbani
Department of Mathematics, Sari Branch, Islamic Azad University, Sari, Iran
Iran
mrabbani@iausari.ac.ir
Fixed point theorem
Measure of noncompactness (MNC)
Banach algebra
Functional integral equation (FIE)
Modified Homotopy perturbation (MHP)
1

Analysis of Cholera model with treatment noncompliance
https://ijnaa.semnan.ac.ir/article_5452.html
10.22075/ijnaa.2021.23626.2568
1
A model for transmission dynamics of cholera infection between human host and environment is developed. We incorporate the proportion of infectious individuals who do not comply with treatment into the human population. Stability analysis, as well as simulation of the model, is done. The results from the stability analysis show that the diseasefree equilibrium solution is locally asymptotically stable if $R_0 < 1$ while the endemic equilibrium solution is globally asymptotically stable when $R_0 > 1$. The technical tool used for our analysis is the theory of competitive systems, compound matrices and stability of periodic orbits. Finally, we investigate, numerically, the inﬂuence of seasonal variation on the control of cholera.
0

29
43


Matthew
Adewole
Department Of Computer Science And Mathematics,
Mountain Top University, Nigeria
Nigeria
olamatthews@ymail.com


Taye
Faniran
Department of Computer Science,
Lead City University, Ibadan, Nigeria
Nigeria
tayefaniran@yahoo.com
Cholera transmission
reproduction number
compound matrices
Global Stability
1

Generalized $p$Laplacian systems with lower order terms
https://ijnaa.semnan.ac.ir/article_5455.html
10.22075/ijnaa.2021.20666.2191
1
This work is devoted to studying the existence of solutions to systems of $p$Laplacian type. We prove the existence of at least one weak solution, under some assumptions, by applying Galerkin's approximation and the theory of Young measures.
0

45
55


Farah
Balaadich
University of Sidi Mohamed Ben Abdellah, Faculty of Sciences Dhar El Mehraz, B.P. 1796 Atlas, Fez, Morocco
Morocco
balaadich.edp@gmail.com


Elhoussine
Azroul
University of Sidi Mohamed Ben Abdellah, Faculty of Sciences Dhar El Mehraz, B.P. 1796 Atlas, Fez, Morocco
Morocco
elhoussine.azroul@gmail.com
Generalized pLaplacian systems
Weak solutions
Young measures
Sobolev spaces
Galerkin method
1

Ulam’s stability of impulsive sequential coupled system of mixed order derivatives
https://ijnaa.semnan.ac.ir/article_5456.html
10.22075/ijnaa.2020.20205.2136
1
This manuscript is devoted to establishing Hyers–Ulam stability for a class of nonlinear impulsive coupled sequential fractional differential equations with multi point boundary conditions on a closed interval [0,T] with Caputo fractional derivative having noninstantaneous impulses. Sufficient conditions are introduced that guarantee the existence of a unique solution to the proposed problem. Furthermore, Hyers–Ulam stability of the proposed model is also presented and an example is provided to authenticate the theoretical results.
0

57
73


Akbar
Zada
Department of Mathematics, University of Peshawar, 25000, Pakistan
Pakistan
zadababo@yahoo.com


Sadeeq
Alam
Department of Mathematics, University of Peshawar, 25000, Pakistan
Pakistan
sadeeq_alam@uop.edu.pk


Usman
Riaz
Department of Mathematics, University of Peshawar, 25000, Pakistan
Pakistan
usmanriazstd15@uop.edu.pk
Caputo fractional derivative
Boundary conditions
Fixed point theorem
Hyers–Ulam Stability
1

A subgradient extragradient method for equilibrium problems on Hadamard manifolds
https://ijnaa.semnan.ac.ir/article_5458.html
10.22075/ijnaa.2020.20984.2220
1
It is generalized the subgradient extragradient algorithm from linear spaces to nonlinear cases. This algorithm introduces a method for solving equilibrium problems on Hadamard manifolds. The global convergence of the algorithm is presented for pseudomonotone and Lipschitztype continuous bifunctions.
0

75
84


Mahdi
AliAkbari
Department of Computer Engineering, University of Torbat Heydarieh, Torbat Heydarieh, Iran
Iran
mahdialiakbari@torbath.ac.ir
Equilibrium problems
Hadamard manifolds
Subgradient Extragradient Algorithm
PseudoMonotone
1

Action of topological groupoid on topological space
https://ijnaa.semnan.ac.ir/article_5459.html
10.22075/ijnaa.2022.5459
1
The main goal of this paper is investigating some types of topological groupoid and their action which denoted by LM groupoid and M groupoid. Some properties of these groupoid are written as proposition. We concentrated to research the relation of M groupoid and LM groupoid.
0

85
89


Taghreed
Majeed
Education College, Mustansiriyah University, Baghdad, Iraq
Iraq
taghreedmajeed@uomustansiriyah.edu.iq
groupoid
topological groupoid
principal groupoid
topological group
action of topological groupoid
1

A study of g*fuzzy closed set via αm in double fuzzy topological space
https://ijnaa.semnan.ac.ir/article_5460.html
10.22075/ijnaa.2022.5460
1
The aim of this research paper is to present and study a new class of generalized closed sets in double fuzzy topological spaces, by using the fuzzy $alpha^m$closed set, that was previously presented. This new class is called the fuzzy $alpha^m g^*$closed set. The relationship of the new concept with previous concepts is studied and the characteristics of this concept is investigated through important theorems that determine the position of this set in relation to sets that have been studied or that will be presented later. Also, generalizations of the functions are presented according to the concept, their properties are studied, and some necessary examples that show the properties of this concept and its relationships.
0

91
95


Sanaa
Abdullah
Ministry of Education, Salah alDin Education Directorate, Tikrit, Iraq
Iraq
sanaa.i.abdullah35503@st.tu.edu.iq


Hiba
Mousa
Department of Mathematics, University of Tikrit, Iraq
Iraq
hom_34@tu.edu.iq
DFT
DF $alpha^mg^*f$closed set
DF $alpha^mg^*$continuous function
1

Zprime gamma submodule of gamma modules
https://ijnaa.semnan.ac.ir/article_5461.html
10.22075/ijnaa.2022.5461
1
Let $R$ be a $Gamma$ring and $partial$ be an $RGamma$module. A proper $RGamma$submodule. $T$ of an $RGamma$module $partial$ is called Zprime $RGamma$submodule if for each $tin partial, gamma in Gamma$ and $f in partial^{ast}=Hom_{R_{Gamma}}(partial,R),f(t)gamma t in T$ implies that either $t in T$ or $f(t)in [T: _{R_{Gamma}} partial]$. The purpose of this paper is to introduce interesting theorems and properties of Z prime $RGamma$submodule of $RGamma$module and the relation of Zprime $RGamma$submodule, which represents of generalization Zprime Rsubmodule of Rmodule.
0

97
102


Ali
Zyarah
Iraqi Ministry of Education, General Directorate of Education for the Holy Karbala, Karbala, Iraq.
Iran
aliziara107@gmail.com


Ahmad Hadi
Hussain
College of Engineering Almusayab, Department of Energy Engineering, University of Babylon, Babil, Iraq
Iran
met.ahmed.hadi@uobabylon.edu.iq


Hayder
Zghair
Information Technology College, Department of Software, University of Babylon, Iraq.
Iran
hyderkadum8@gmail.com
$Gamma$ring
$RGamma$module
$RGamma$submodule
and prime $RGamma$submodule
1

Almost maximal, emaximal and esimple fuzzy submodules
https://ijnaa.semnan.ac.ir/article_5463.html
10.22075/ijnaa.2022.5463
1
In this paper, the concepts of almost maximal submodules are fuzzified and studied. Also, three new concepts are introduced, which are: esimple submodules, Eesimple modules and emaximal submodules. Then these concepts are fuzzified and studied.
0

103
113


Maysoun
Hamel
Department of Mathematics, College of Education for Pure Sciences, IbnAlHaitham, University of Baghdad, Iraq
Iran
maysoon.a.h@ihcoedu.uobaghdad.edu.iq


Inaam
Hadi
Department of Mathematics, College of Education for Pure Sciences, IbnAlHaitham, University of Baghdad, Iraq
Iran
inaam1976@yahoo.com
Almost maximal fuzzy submodules
emaximal fuzzy submodules
Eesimple fuzzy modules and Eesimple fuzzy modules
1

Bifurcation analysis and chaos control of the population model with harvest
https://ijnaa.semnan.ac.ir/article_5464.html
10.22075/ijnaa.2021.19675.2094
1
In this article, we investigated the dynamic behavior of a discretetime population model with the harvest. We give numerical simulation and chaos control by using the linear feedback control method.
0

115
125


Ozlem
Gumus
Faculty of Arts and Sciences, Department of Mathematics, Adiyaman University, Adiyaman02040, Turkey
Turkey
akgumus@adiyaman.edu.tr


A.George
Selvam
Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur635 601, Tamil Nadu, India
India
agmshc@gmail.com


R
Dhineshbabu
Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur635 601, Tamil Nadu, India
India
vrdhinesbabu10@gmail.com
Discretetime model
stability
Bifurcation
chaos control
harvesting
1

Estimation of the survival function based on the loglogistic distribution
https://ijnaa.semnan.ac.ir/article_5466.html
10.22075/ijnaa.2022.5466
1
This paper proposes a new method by hybrid Simplex Downhill Algorithm with Moment Method (SMOM) to estimate the parameters of LogLogistic distribution based on Survival functions. Simulation is used to compare the suggested methods with two classical methods (Maximum Likelihood Estimator and with Moment Method). The results demonstrate that SMOM was efficient than the maximum likelihood Estimator and Moment method based on Mean Square Error (MSE).
0

127
141


Amina
Ibrahim
Department of Mathematics, College of Education for pure Sciences, IbnAlHaitham , University of Baghdad, Iraq
Iran
amena8303@gmail.com


Bayda
Kalaf
Department of Mathematics, College of Education for pure Sciences, IbnAlHaitham , University of Baghdad, Iraq
Iran
hbama75@yahoo.com
hybrid Simplex Downhill Algorithm
LogLogistic distribution
Mean Square Error
1

Legendre Kantorovich methods for Uryshon integral equations
https://ijnaa.semnan.ac.ir/article_5467.html
10.22075/ijnaa.2021.22966.2441
1
In this paper, the Kantorovich method for the numerical solution of nonlinear emph{Uryshon} equations with a smooth kernel is considered. The approximating operator is chosen to be either the orthogonal projection or an interpolatory projection using a Legendre polynomial basis. The order of convergence of the proposed method and those of superconvergence of the iterated versions are established. We show that these orders of convergence are valid in the corresponding discrete methods obtained by replacing the integration by a quadrature rule. Numerical examples are given to illustrate the theoretical estimates.
0

143
157


Chafik
Allouch
University Mohammed I, FPN, MSC Team, LAMAO Laboratory, Nador, Morocco
Morocco
c.allouch@ump.ma


Mohamed
Arrai
University Mohammed I, FPN, MSC Team, LAMAO Laboratory, Nador, Morocco
Morocco
mohamedarrai28@gmail.com


Mohammed
Tahrichi
University Mohammed I, ESTO, ANAA Team, ANO Laboratory, Oujda, Morocco
Morocco
mtahrichi@hotmail.com
Uryshon equation
Kantorovich method
Projection operator
Legendre polynomial
Discrete methods
Superconvergence
1

Combining Bspline leastsquare schemes with different weight functions to solve the generalized regularized long wave equation
https://ijnaa.semnan.ac.ir/article_5468.html
10.22075/ijnaa.2022.5468
1
For solving differential equations, a variety of numerical methods are available, accuracy, performance, and application are all different. In this article, we proposed new numerical techniques for solving the generalized regularized long wave equation(GRLWE) that are based on types M and M1 of Bsplinesleastsquare method (BSLSM) and weight function of Bsplines respectively, which were proposed previously for solving integrodifferential equations [2] where $Min {N}$. We investigated linear stability using a Fourier method.
0

159
177


Hameeda O.
AlHumedi
Department Mathematics, Education College for pure Sciences, Basrah University, Basrah, Iraq
Iran
hameeda.mezban@uobasrah.edu.iq
BSpline method
PetrovGalerkin method
LeastSquare method
Fourier method
generalized regularized long wave equation
1

On the location of zeros of generalized derivative
https://ijnaa.semnan.ac.ir/article_5469.html
10.22075/ijnaa.2021.22496.2382
1
Let $P(z) =displaystyle prod_{v=1}^n (zz_v),$ be a monic polynomial of degree $n$, then, $G_gamma[P(z)] = displaystyle sum_{k=1}^n gamma_k prod_{{v=1},{v neq k}}^n (zz_v),$ where $gamma= (gamma_1,gamma_2,dots,gamma_n)$ is a ntuple of positive real numbers with $sum_{k=1}^n gamma_k = n$, be its generalized derivative. The classical GaussLucas Theorem on the location of critical points have been extended to the class of generalized derivativecite{g}. In this paper, we extend the Specht Theorem and the results proved by A.Aziz cite{1} on the location of critical points to the class of generalized derivative .
0

179
184


Irfan
Wani
Department of Mathematics, University of Kashmir, South Campus, Anantnag192101, Jammu and Kashmir, India
India
irfanmushtaq62@gmail.com


Mohammad
Mir
Department of Mathematics, University of Kashmir, South Campus, Anantnag192101, Jammu and Kashmir, India
India
ibrahimmir@uok.edu.in


Ishfaq
Nazir
Department of Mathematics, University of Kashmir, South Campus, Anantnag192101, Jammu and Kashmir, India
India
ishfaqnazir02@gmail.com
Polynomial
Zeros
critical points and generalized derivative
1

Mathematical optimization modeling for estimating the incidence of clinical diseases
https://ijnaa.semnan.ac.ir/article_5470.html
10.22075/ijnaa.2022.5470
1
The notion that infectious disease transmission and dissemination are governed by rules that may be expressed mathematically is not new. In fact, the nonlinear dynamics of infectious illness transmission were only fully recognized in the twentieth century. However, with the Coronavirus outbreak, there is a lot of discussion and study regarding the origin of the epidemic and how it spreads before all vulnerable people are infected, as well as ideas about how the disease virulence changes during the epidemic. In this paper, we provide some critical mathematical models which are SIR and SIS and their differences in approach for the interpretation and transmission of viruses and other epidemics as well as formulate the optimal control problem with vaccinations.
0

185
195


Mazin
Kadhim
Department of Mathematics Science, Ministry of Education, Babylon, Iraq
Iran
mazen.marjan22@gmail.com


Fadhil
Wahbi
Department of Mathematics Science, Ministry of Education, Babylon, Iraq
Iran
fadhilf40@gmail.com


Ahmed
Hasan Alridha
Department of Mathematics Science, Ministry of Education, Babylon, Iraq
Iran
amqa92@yahoo.com
Mathematical modeling
SIR Model
SIS Model
Epidemiology's threshold theorem
the optimal control problem with vaccinations
1

Perturbation of wavelet frames on nonArchimedean fields
https://ijnaa.semnan.ac.ir/article_5471.html
10.22075/ijnaa.2021.21909.2302
1
The paper deals with two different aspects of wavelet frames. First, we obtain a necessary condition on irregular wavelet frames on local fields of positive characteristic and in the second aspect, we present some results on the perturbation of wavelet frames, when we disturb the mother function of a wavelet frame or dilation parameter. All the results have been carried without the compactness of support neither on generating function nor on its Fourier transform.
0

197
208


Ishtaq
Ahmad
Department of Mathematics, Jammu and Kashmir Institute of Mathematical Sciences, Srinagar190008, India
India
ishtiyaqahmadun@gmail.com


Neyaz
Ahmad
Department of Mathematics, National Institute of Technology, Srinagar190006, India
India
neyaznit@yahoo.co.in
Wavelet frames
Local fields
Perturbation
1

Novel face detection algorithm with a mask on neural network training
https://ijnaa.semnan.ac.ir/article_5472.html
10.22075/ijnaa.2022.5472
1
Discovering objects and knowing their number has been discussed in many works. Face detection technology is important for the visual scene, Deep learning theory using computer technology to discover the face, which is a wide field in marketing, traffic and security system control systems, in addition to photography. Facial recognition algorithms or face detection Include steps for the facial image to extract features to match them with a database. The face has a biometric feature. The facial feature consists of prominent and easily identifiable information that is responsible for distinguishing the objects that distinguish the face, the distance between the eyes, the shape of the nose, and The mouth for the device to perform a training group and record the data. Matlab program helps to dispense with training because MATLAB provides the instruction (CascadeObjectDetector) for facial recognition and the ViolaJones algorithm with the result of separating the detection results in the form of subsets. In this work, a new algorithm is created for a group of elements in the unit picture And run a face detection code to highlight the background to store the information of each image in a specified folder and the face detection techniques by proposing a new algorithm to detect a face from among a group of faces, distinguish it and make it a file of its own, all of that using the Matlab program to train the neural network for face recognition.
0

209
215


Fouad
Tahir
Department of Applied Science, University of Technology, Baghdad, Iraq
Iran
11015@uotechnology.edu.iq


Asma
Abdulrahman
Department of Applied Science, University of Technology, Baghdad, Iraq
Iran
asma.a.abdulrahman@uotechnology.edu.iq


Zanbaq
Hikmet Thanon
Iraqi Commission for Computers & Informatics Informatics Institute for Postgraduate Studies.
Iran
zanbaqlily@yahoo.com
Neural Network
facial recognition
Convolutional Neural Networks (CNN)
MATLAB
1

Solving a biobjective flexible flow shop problem with transporter preventive maintenance planning and limited buffers by NSGAII and MOPSO
https://ijnaa.semnan.ac.ir/article_5473.html
10.22075/ijnaa.2021.24335.2719
1
This study deals with a biobjective flexible flow shop problem (BOFFSP) with transportation times and preventive maintenance (PM) on transporters via considering limited buffers. The PM actions on transporters are a missing part of the literature of the flexible flow shop problem (FFSP) which before the breakdown occurs, each transporter at each stage is stopped and the PM action is performed on it. The capacity of each intermediate buffer is limited and each job has to wait in the intermediate buffers. By including all these features in the proposed BOFFSP, not only processing times affect the objective functions, but also, the transportation times of jobs, the waiting time of jobs in the intermediate buffers, and availability of transporters in the system are considered in the model and make it a sample of a realworld FFSP. The presented BOFFSP has simultaneously minimized the total completion time and the unavailability of the system. As the problem is NPhard, a nondominated sorting genetic algorithm II (NSGAII) and a multiobjective particle swarm optimization (MOPSO) is proposed to solve the model for large size problems. The experimental results show that the proposed MOPSO relatively outperforms the presented NSGAII in terms of five different metrics considered to compare their performance. Afterwards, two oneway ANOVA tests are performed. It can be observed MOPSO achieves relatively better results than NSGAII. Finally, sensitivity analysis is conducted to investigate the sensitivity of the objective functions to the number of jobs and their transportation time at each stage.
0

217
246


Meysam
Kazemi Esfeh
School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Iran
meysam.kazemie@gmail.com


Amir Abass
Shojaei
School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Iran
amir@ashojaie.com


Hassan
Javanshir
School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Iran
hassan.javanshir@gmail.com


Kaveh
Khalili Damghani
School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Iran
kaveh.khalili@gmail.com
Flexible flow shop problem
Transportation times
preventive maintenance
Limited buffers
Multiobjective algorithms
1

Growth estimate for rational functions with prescribed poles and restricted zeros
https://ijnaa.semnan.ac.ir/article_5474.html
10.22075/ijnaa.2021.23465.2544
1
Let $r(z)= f(z)/w(z)$ where $f(z)$ be a polynomial of degree at most $n$ and $w(z)= prod_{j=1}^{n}(za_{j})$, $a_j> 1$ for $1leq j leq n.$ If the rational function $r(z)neq 0$ in $z< k$, then for $k =1$, it is known that $$leftr(Rz)rightleq left(frac{leftB(Rz)right+1}{2}right) underset{z=1}supr(z),,, for ,,,z=1$$ where $ B(z)= prod_{j=1}^{n}left{(1bar{a_{j}}z)/(za_{j})right}$. In this paper, we consider the case $k geq 1$ and obtain certain results concerning the growth of the maximum modulus of the rational functions with prescribed poles and restricted zeros in the Chebyshev norm on the unit circle in the complex plane.
0

247
252


Ishfaq
Dar
Department of Mathematics, University of Kashmir, Srinagar190006, India
Iran
ishfaq619@gmail.com


Nisar
Rather
Department of Mathematics, University of Kashmir, Srinagar190006, India
Iran
dr.narather@gmail.com


Mohd
Wani
Department of Mathematics, University of Kashmir, Srinagar190006, India
Iran
wanishafi1933@gmail.com
Rational functions
Polynomial Inequalities
Zeros
1

Hadamard and Fejér type inequalities for pconvex functions via Caputo fractional derivatives
https://ijnaa.semnan.ac.ir/article_5475.html
10.22075/ijnaa.2020.21549.2269
1
Here our aim is to prove the HermiteHadamard and Fejér inequalities for pconvex functions via Caputo fractional derivatives. We also establish some useful identities in order to find further Hadamard’s and Fejér type inequalities which are generalizations of the results given in the literature cited here.
0

253
266


Naila
Mehreen
School of Natural Sciences, National University of Sciences and Technology, sector H12, Islamabad, Pakistan.
Pakistan
nailamehreen@gmail.com


Matloob
Anwar
School of Natural Sciences, National University of Sciences and Technology, H12 Islamabad, Pakistan
Pakistan
matloob_t@yahoo.com
HermiteHadamard inequality
HermiteHadamardFejér inequality
pconvex function
Caputo fractional derivatives
1

System of generalized nonlinear variationallike inclusion problems in 2uniformly smooth Banach spaces
https://ijnaa.semnan.ac.ir/article_5476.html
10.22075/ijnaa.2020.20694.2197
1
In this manuscript, we introduce and study the existence of a solution of a system of generalized nonlinear variationallike inclusion problems in 2uniformly smooth Banach spaces by using $H(.,.)$$eta$proximal mapping. The method used in this paper can be considered as an extension of methods for studying the existence of solutions of various classes of variational inclusions considered and studied by many authors in 2uniformly smooth Banach spaces. Some important results, theorems and the existence of solution of the proposed system of generalized nonlinear variationallike inclusion problems have been derived.
0

267
287


Sumeera
Shafi
Department of Mathematics, University of Kashmir, Srinagar190006, India
India
sumeera.shafi@gmail.com
System of generalized nonlinear variationallike inclusion problems
$H(
.)$$eta$Proximal mapping method
0Diagonally Quasiconcave (0DQCV )
2uniformly smooth Banach spaces
iterative algorithm
Convergence analysis
1

Some trapezoid type inequalities for generalized fractional integral
https://ijnaa.semnan.ac.ir/article_5486.html
10.22075/ijnaa.2019.16038.1844
1
In this paper, we have established some trapezoid type inequalities for generalized fractional integral. The results presented here would provide some fractional inequalities and RiemannLiouville type fractional operators.
0

289
295


Fatma
Ertuğral
Department of Mathematics, Faculty of Science and Arts, D"{u}zce
University, D"{u}zce, Turkey
Turkey
fatmaertugral14@gmail.com


Mehmet
Sarikaya
Department of Mathematics, Faculty of Science and Arts, D"{u}zce
University, D"{u}zce, Turkey
Turkey
sarikayamz@gmail.com
simpson type inequalities
convex function
Integral inequalities
1

Solving binary semidefinite programming problems and binary linear programming problems via multiobjective programming
https://ijnaa.semnan.ac.ir/article_5490.html
10.22075/ijnaa.2019.13899.1724
1
In recent years the binary quadratic program has grown in combinatorial optimization. Quadratic programming can be formulated as a semidefinite programming problem. In this paper, we consider the general form of binary semidefinite programming problems (BSDP). We show the optimal solutions of the BSDP belong to the efficient set of a semidefinite multiobjective programming problem (SDMOP). Although finding all efficient points for multiobjective is not an easy problem, but solving a continuous problem would be easier than a discrete variable problem. In this paper, we solve an SDMOP, as an auxiliary, instead of BSDP. We show the performance of our method by generating and solving random problems.
0

297
304


Mohammadreza
Safi
Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran
Iran
msafi@semnan.ac.ir


Seyyed Saeed
Nabavi
Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran
Iran
saeednabavi86@gmail.com
Semidenite programming
Positive semidenite matrix
Multiobjective programming
Binary programming
1

A lightweight intrusion detection system based on RSSI for sybil attack detection in wireless sensor networks
https://ijnaa.semnan.ac.ir/article_5491.html
10.22075/ijnaa.2022.5491
1
As the prevalence of Wireless Sensor Networks (WSNs) grows in the many missioncritical applications such as military and civil domains, the need for network security has become a critical concern. The inherently vulnerable characteristics of WSNs appoint them susceptible to various types of attacks. A particularly harmful attack against sensor and ad hoc networks is known as the Sybil attack, where a node illegitimately claims multiple identities. Sybil attacks can severely deteriorate the network performance and compromise the security by disrupting many networking protocols. This paper presents a lightweight Intrusion detection system (IDS) based on received signal strength indicator (RSSI) readings of messages to protect WSNs against Sybil attack. Our idea in the proposed method is based on the local calculation (within each node and without the need for communications) the RSSI ratio from the suspected nodes to the Sybil attack. The obtained results demonstrate that Proposed System achieves high detection accuracy, low false alarm rate and low energy consumption appointing it a promising IDS candidate for wireless sensor networks.
0

305
320


Mahdi
Sadeghizadeh
Department of Computer Engineering, Quchan University of Technology, Quchan, Iran
Iran
m.sadeghizadeh@qiet.ac.ir
Wireless Sensor networks (WSNs)
Sybil attack
Intrusion detection systems (IDS)
Received signal strength indicator (RSSI)
1

Optimization of process parameter involved in the effectiveness evaluation of continuous line manufacturing system (CLMS)
https://ijnaa.semnan.ac.ir/article_5499.html
10.22075/ijnaa.2022.5499
1
To sustain in the global competitive market, the manufacturing organizations are adopting tools like Total Productive Maintenance (TPM), Lean Manufacturing (LM), etc. Implementation of these tools was assessed by an effectiveness index called Overall Equipment Effectiveness (OEE) Throughput Effectiveness (TE). Overall Manufacturing Line Effectiveness (OMLE) used as the performance evaluation index for the integrated tool {[}Total Productive Lean Manufacturing TPLM{]} implementation performance has been assessed. OMLE is a robust metric of manufacturing performance that incorporates the measures like Line Availability (LA), Line Production Quality Performance (LPQP) of the product line. OMLE offers a means of controlling the whole production process by analyzing results from the totality of events with or without inventory between the processes in the product line. In the presentpaper, the attempt made towards identifying the bottleneck parameter (Losses in the processes category A, the Cycle time in the processescategory B, Inventory between the process  category C) in the bottleneck processes of the n number of the processes product line through programming (software in C). Also, the top three parameters of the processes in the n process product line have been obtained easily towards executing improvements by the engineers and managers. Analyze it with the change of inventory and zero inventory between the five, seven, and nine different processes product line processes. The suggested improvement activities (obtained from the OMLE evaluation and optimization program) are validated in south India's real case study organization and improved the bottleneck processes and losses in the product line.
0

321
342


J.
Logeshwaran
Research Scholar
Iran
logesh.jsrm@gmail.com


RM.
Nachiappan
Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu608002, India
Iran
dcenachiappan@gmail.com
Performance Evaluation
Bottleneck parameter
World Class Manufacturing
Manufacturing System Analysis
Manufacturing management
1

Human recognition by utilizing voice recognition and visual recognition
https://ijnaa.semnan.ac.ir/article_5501.html
10.22075/ijnaa.2022.5501
1
Audiovisual detection and recognition system is thought to become the most promising methods for many applications includes surveillance, speech recognition, eavesdropping devices, intelligence operations, etc. In the recent field of human recognition, the majority of the research be coming performed presently is focused on the reidentification of various body images taken by several cameras or its focuses on recognized audioonly. However, in some cases these traditional methods can not be useful when used alone such as in indoor surveillance systems, that are installed close to the ceiling and capture images right from above in a downwards direction and in some cases people don't look straight the cameras or it cannot be added in some area such as W.C. or sleeping room. Thus, its commonly difficult to identify any movement or breakthrough process, on the other hand when need to pursue suspect when enter a building or party to identify his location and/or listen to his speech only and isolate it from other voices or noises, the other. Hence, the use of the hybrid combination technique is very effective. In this work, we proposed a multimodal human recognition approach that utilizes both the face and audio and is based upon a deep convolutional neural network (CNN). Mainly, to solve the challenge of not capturing part of the body, final results of recognizing via separate CNNs of VGG Face16 and ResNet50 are joined together depending on the scorelevel combination by Weighted Sum rule to enhance recognition performance. The results show that the proposed system success to recognise each person from his voice and/or his face captured. In addition, the system can separate the person voice and isolate it from noisy environment and determine the existence of desired person.
0

343
351


Sukaina
Altyar
Department of Computer Science, College of Education for Pure Science University of Baghdad, Baghdad, Iraq
Iran
sukaina.s.m@ihcoedu.uobaghdad.edu.iq


Samera
Hussein
Department of Computer Science, College of Education for Pure Science University of Baghdad, Baghdad, Iraq
Iran
samera.s.h@ihcoedu.uobaghdad.edu.iq


Mahir
Mohammed
Department of Religious Education, Iraqi Sunni Affairs, Iraq
Iran
mahir.jasem@yahoo.com
Deep learning
Convolutional Neural Networks
Human Recognition
voice recognition
visual recognition
1

Homoclinic Orbits and Localized Solutions in Discrete Nonlinear Schrodinger Equation with LongRange Interaction
https://ijnaa.semnan.ac.ir/article_5502.html
10.22075/ijnaa.2021.23619.2588
1
In this paper, we use the homoclinic orbit approach without using small perturbations to prove the existence of soliton solutions of the discrete nonlinear Schrödinger equations with longrange interaction by employing the properties of the symmetries of reversible planar maps. Moreover, the longrange interaction by a potential proportional to $1/l^{1+alpha} $ with fractional $alpha < 1 $ and $l $ as natural number.
0

353
363


Allal
Mehazzem
Department of Mathematics and Informatics, Faculty of Exact Sciences,
Natural and Life Sciences, El Arbi Tebessi University, Tebessa,
Algeria.
Iran
a.mehazzem@centreunivmila.dz


Mohamed
Abdelouahab
Department of Mathematics and Informatic, Abdelhafidh Boussouf
University Center of Mila, Mila, Algeria
Iran
m.abdelouahab@centreunivmila.dz


Kamel
Haouam
Department of Mathematics and Informatics, Faculty of Exact Sciences, Natural and Life Sciences, El Arbi Tebessi University, Tebessa,
Algeria.
Iran
haouam@yahoo.fr
Fractional equation
discrete Schrodinger equation
LongRange Interaction
Homoclinic orbits
reversible planar maps
1

Approximate analytic solution of composed linear descriptor operator system using functional analysis approach
https://ijnaa.semnan.ac.ir/article_5503.html
10.22075/ijnaa.2022.5503
1
This paper focuses on the solvability and approximate analytic solution of composed linear descriptor operator with constant coefficient, using functional (Variational) approach. This approach is based on finding a suitable functional form whose critical points are the solution of the proposed problem and the solution of a proposed problem is a critical point of the obtained variational functional defined on suitable reflexive Hilbert space since the existence of this approach is based on the symmetry and positivity of the composed linear descriptor operator on Hilbert space. The necessary mathematical requirements are derived and proved. A stepbystep computational algorithm is proposed. Illustration and computation with the giving exact solution are also proposed.
0

365
378


Hams
AlHelli
Department of Mathematics, College of Science, Mustansiriyah University, Baghdad, Iraq
Iran
hamsmoniem87@gmail.com


Radhi
Zaboon
Department of Mathematics, College of Science, Mustansiriyah University, Baghdad, Iraq
Iran
r.zaboon@uomustansiriyah.edu.iq
1

Evaluation of longitudinal wave velocity and elasticity modulus of concrete at different ages considering mixing ratios
https://ijnaa.semnan.ac.ir/article_5504.html
10.22075/ijnaa.2021.18485.2015
1
Concrete is a material that the mechanical properties of which change over time. This change is due to chemical reactions within the concrete known as hydration. One of these properties is the modulus of elasticity and longitudinal wave velocity, which has a direct relation with the concrete age and its setting. Just after the materials mixing, the concrete setting is fast, and over time its rate decreases. Here, a series of cubic concrete specimens are prepared and changing in longitudinal wave velocity and modulus of elasticity in different ages is monitored during the process of curing and a relationship has been presented. Materials specifications impact and concrete mixing ratios, including the water to cement ratio and fine to coarse aggregates ratio is studied. Ultrasonic wave velocity has been increased faster at early ages of specimens where the concrete setting process is fast and in last days, rates of increasing the longitudinal wave velocity decreases. An increase in the water to cement ratio leads to increases in the longitudinal wave velocity over time. The empirical equations have been formulated as logarithmic curves. These empirical equations have been developed and a model with more efficiency and precision has been presented. These empirical equations can be used in the analytical and numerical analysis of structures. These models can be used to determine the loading time of concrete structures and to predicting their other physical and mechanical properties, such as strength and stiffness.
0

379
396


Mehdi
Sabagh
Department of Civil Engineering, Sharif University of Technology, Tehran, Iran
Iran
sabagh@ut.ac.ir


Mansour
Asgari Khorasgani
Department of Civil Engineering, Islamic Azad University, Najafabad Branch, Najafabad, Iran
Iran
mansour.asgari@gmail.com


Mohammad Taghi
Kazemi
Department of Civil Engineering, Sharif University of Technology, Tehran, Iran
Iran
kazemi@sharif.edu
Concrete setting
Concrete age
Nondestructive test
Ultrasonic wave velocity
Modulus of elasticity
1

The existence of periodic solutions to doubly degenerate AllenCahn equation with Neumann boundary condition
https://ijnaa.semnan.ac.ir/article_5505.html
10.22075/ijnaa.2022.5505
1
This work is concerned with the periodic solution of a doubly degenerate AllenCahn equation with nonlocal terms associated with Neumann boundary conditions. Firstly, we define a new associated auxiliary problem. Secondly, the topological degree theorem is applied to prove the existence of a limit point to the auxiliary problem, where this limit point represents a nontrivial nonnegative timeperiodic solution of the main studied problem. It is observed that the topological degree theorem technique plays an important role in proving the desired results. Furthermore, this technique can be applied to other similar equations with homogeneous Dirichlet or Neumann boundary conditions.
0

397
408


Raad
Hameed
Department of Mathematics, College of education for pure science, Tikrit University, Iraq
Iraq
dr.raad.awad@tu.edu.iq


Maan
Rasheed
Department of Mathematics, College of Basic Education, Mustansiriyah University, Baghdad, Iraq
Iraq
maan.rasheed.edbs@uomustansiriyah.edu.iq


Hekmat
Mustafa
Department of Mathematics, College of Education, Al Hamdaniya University, Mosul, Iraq
Iraq
hekmat78@uohamdaniya.edu.iq


Faez
Ghaffoori
Department of Mathematics, College of Basic Education, Mustansiriyah University, Baghdad, Iraq
Iraq
fng2022@uomustansiriyah.edu.iq
Degenerate AllenCahn equation
Neumann boundary conditions
Timeperiodic solution
Topological degree theorem
1

Comparison of Harder stability and Rus stability of Mann iteration procedure and their equivalence
https://ijnaa.semnan.ac.ir/article_5508.html
10.22075/ijnaa.2021.17495.1939
1
In this paper, we study the stability of Mann iteration procedure in two directions, namely one due to Harder and the second one due to Rus with respect to a map $T:Kto K$ where $K$ is a nonempty closed convex subset of a normed linear space $X$ and there exist $deltain(0,1)$ and $Lgeq 0$ such that $TxTyleqdeltaxy+LxTx$ for $x,yin K$. Also, we show that the Mann iteration procedure is stable in the sense of Rus may not imply that it is stable in the sense of Harder for weak contraction maps. Further, we compare and study the equivalence of these two stabilities and provide examples to illustrate our results.
0

409
420


Gutti
Babu
Department of Mathematics, Andhra University, Visakhapatnam530 003, India
Iran
gvr_babu@hotmail.com


Gedala
Satyanarayana
Department of Mathematics, Andhra University, Visakhapatnam530 003, India.
Iran
gedalasatyam@gmail.com
Fixed point
Mann iteration procedure
stability in the sense of Harder
limit shadowing property
stability in the sense of Rus
1

Uniform stability of integrodifferential inequalities with nonlinear control inputs and delay
https://ijnaa.semnan.ac.ir/article_5509.html
10.22075/ijnaa.2022.5509
1
In this paper, the uniform stability for the solution of integrodifferential inequalities, with nonlinear control inputs and delay functions, is investigated by using some inequality estimator conditions. Moreover, we apply the obtained results on the solutions of some proposed classes of integrodifferential inequalities with nonlinear control input functions as problem formulations examples. The results show that the stability technique used in this work is efficient and robust and it can be applied to a general class and various types of integrodifferential inequalities.
0

421
430


Sameer
Hasan
Department of Mathematics, College of Education, Mustansiriyah University, Baghdad, Iraq
Iran
dr.sameerqasim@uomustansiriyah.edu.iq


Maan
Rasheed
Department of Mathematics, College of Basic Education, Mustansiriyah University, Baghdad, Iraq
Iran
maan.rasheed.edbs@uomustansiriyah.edu.iq


Talat
Aldhlki
Department of Mathematics, College of Basic Education, Mustansiriyah University, Baghdad, Iraq
Iran
dr.talatjassim.edbs@uomustansiriyah.edu.iq
Uniform stability
Integrodifferential inequalities
Nonlinear control inputs
Delay functions
1

Inequalities for an operator on the space of polynomials
https://ijnaa.semnan.ac.ir/article_5514.html
10.22075/ijnaa.2021.22378.2355
1
Let $mathcal{P}_n$ be the class of all complex polynomials of degree at most $n.$ Recently Rather et. al.[ On the zeros of certain composite polynomials and an operator preserving inequalities, Ramanujan J., 54(2021) 605–612. url{https://doi.org/10.1007/s11139020002612}] introduced an operator $N : mathcal{P}_nrightarrow mathcal{P}_n$ defined by $N[P](z):=sum_{j=0}^{k}lambda_jleft(frac{nz}{2}right)^jfrac{P^{(j)}(z)}{j!}, ~ k leq n$ where $lambda_jinmathbb{C}$, $j=0,1,2,ldots,k$ are such that all the zeros of $phi(z) = sum_{j=0}^{k} binom{n}{j}lambda_j z^j$ lie in the half plane $z leq left z  frac{n}{2}right$ and established certain sharp Bernsteintype polynomial inequalities. In this paper, we prove some more general results concerning the operator $N : mathcal{P}_n rightarrow mathcal{P}_n$ preserving inequalities between polynomials. Our results not only contain several well known results as special cases but also yield certain new interesting results as special cases.
0

431
439


Nisar
Rather
Department of Mathematics,
University of Kashmir
Iran
dr.narather@gmail.com


Aaqib
Iqbal
Department of Mathematics,
University of Kashmir
Iran
itz.a.iqbal@gmail.com


Ishfaq
Dar
Department of Mathematics,
University of Kashmir
Iran
ishfaq619@gmail.com
polynomials
Operators
Inequalities in the complex domain
1

Blow up of solutions for a r(x)Laplacian Lam'{e} equation with variableexponent nonlinearities and arbitrary initial energy level
https://ijnaa.semnan.ac.ir/article_5516.html
10.22075/ijnaa.2021.23671.2578
1
In this paper, we consider the nonlinear $r(x)$Laplacian Lam'{e} equation $$ u_{tt}Delta_{e}udivbig(nabla u^{r(x)2}nabla ubig)+u_{t}^{m(x)2}u_{t}=u^{p(x)2}u $$ in a smoothly bounded domain $Omegasubseteq R^{n}, ngeq1$, where $r(.), m(.)$ and $p(.)$ are continuous and measurable functions. Under suitable conditions on variable exponents and initial data, the blowup of solutions is proved with negative initial energy as well as positive.
0

441
450


Mohammad
Shahrouzi
Department of Mathematics, Jahrom University, Jahrom, Iran
Iran
mshahrouzi@jahromu.ac.ir
BlowUp
variableexponent nonlinearities
elasticity operator
arbitrary initial energy
1

On existence of solutions for some functional integral equations in Banach algebra by fixed point theorem
https://ijnaa.semnan.ac.ir/article_5515.html
10.22075/ijnaa.2021.23635.2570
1
In this research, we analyze the existence of solution for some nonlinear functional integral equations using the techniques of measures of noncompactness and the Petryshyn's fixed point theorem in Banach space. The results obtained in this paper cover many existence results obtained by numerous authors under some weaker conditions. We also give an example satisfying the conditions of our main theorem but not satisfying the conditions described by other authors.
0

451
466


Manochehr
Kazemi
Department of Mathematics, Ashtian Branch, Islamic Azad University, Ashtian, Iran
Iran
univer_ka@yahoo.com
Functional integral equations
Existence of solution
Measures of noncompactness
Petryshyn's fixed point theorem
1

A numerical scheme for solving variable order CaputoPrabhakar fractional integrodifferential equation
https://ijnaa.semnan.ac.ir/article_5517.html
10.22075/ijnaa.2020.21181.2240
1
In this paper we apply the Chebyshev polynomials method for the numerical solution of a class of variableorder fractional integrodifferential equations with initial conditions. Moreover, a class of variableorder fractional integrodifferential equations with fractional derivative of CaputoPrabhakar sense is considered. The main aim of the Chebyshev polynomials method is to derive four kinds of operational matrices of Chebyshev polynomials. With such operational matrices, an equation is transformed into the products of several dependent matrices, which can also be viewed as the system of linear equations after dispersing the variables. Finally, numerical examples have been presented to demonstrate the accuracy of the proposed method, and the results have been compared with the exact solution.
0

467
484


Bagher
Bagharzadehtvasani
Department of Applied Mathematics, Faculty of Mathematical Sciences, Lahijan
Branch, Islamic Azad University, Lahijan, Iran
Iran
bgh.bagharzadeh@gmail.com


Amir Hosein
Refahi Sheikhani
Department of Applied Mathematics, Faculty of Mathematical Sciences, Lahijan
Branch, Islamic Azad University, Lahijan, Iran
Iran
ah_refahi@yahoo.com


Hossein
Aminikhah
Department of Applied Mathematics, Faculty of Mathematical Sciences,
University of Guilan, Rasht, Iran
Iran
hossein.aminikhah@gmail.com
Variable order fractional
Prabhakar fractional derivative
Chebyshev polynomials method
Operational matrices
1

Investigating essential factors in the spread of lassa fever dynamics through sensitivity analysis
https://ijnaa.semnan.ac.ir/article_5519.html
10.22075/ijnaa.2021.22707.2405
1
Lassa fever is a zoonotic acute viral illness caused by Lassa virus. Since there is no vaccine yet to protect against contracting the virus, it continues to spread in West Africa. In this paper, a mathematical model of lassa transmission that considers two classes of rats: house rat and bush rat, is proposed. Theoretically, global stability of the model diseasefree and endemic equilibria are established by constructing a global Lyapunov function. Sensitivity indices of the basic reproduction number are derived using the normalised forward approach to evaluate the effectiveness of control measures. The diseasefree equilibrium is globally asymptotically stable when the basic reproduction number R0 < 1 and the unique endemic equilibrium is globally asymptotically stable when R0 > 1. Results from sensitivity analysis reveals that rat biting rate for infectious house rats RFH and infectious bush rats R_FB, transmission probability per contact with infectious house and bush rats (R_FH and R_FB), human recruitment rate and transmission probability per contact with infectious human hosts are highly significant in determining the severity of lassa infection. On the other hand, natural death rate of rats, natural death rate of human hosts, recovery and hospitalization rates of human hosts are critical for lassa transmission reduction. Plans that target the contact rate between house and bush rats (i.e use of indoor residual spray, fumigation of environment with pesticide) and those that target recovery rate of human hosts (i.e treatment of infectious human hosts) are recommended to control the disease.
0

485
497


Taye
Faniran
Department of Computer Science, Lead City University, Ibadan
Iran
tayefaniran@yahoo.com


E.
Ayoola
Department of Mathematics, University of Ibadan, Ibadan
Iran
eoayoola@googlemail.com
Lassa
Basic Reproduction Number
stability
Sensitivity analysis
1

Forecasting time series using Vector Autoregressive Model
https://ijnaa.semnan.ac.ir/article_5521.html
10.22075/ijnaa.2022.5521
1
In this study, a vector Autoregressive model was used to analysis the relationship between two time series as well as forecasting. Two financial time series have been used, which are a series of global monthly oil price and global monthly gold price in dollars for a period from January 2015 to Jun 2019. It has 54 monthly values, where the data has been transferred to get the Stationarity, Diekey Fuller test for the Stationarity was conducted. The best three order for model was determined through a standard Akaike information AIC, it is VAR(7) , VAR(8) and VAR(10) respectively. The comparison was made between selected orders by AIC based on the accuracy measure and mean square error (MSE). It turns out that less MSE value of the VAR(10) model. Some tests were conducted like Lagrangemultiplier, Portmanteau, Jarque  Bera to residuals for the selected model, with forecasting for the VAR(10) model for the period from Jun 2019 to Jun 2021 , It is 24 monthly value. It turns out that less MSE for forecasting value for oil price series is to VAR(7) model and less MSE for forecasting value for gold price series is VAR(10) model. The results have been computed through the Stata program.
0

499
511


Lemya
Abdullah
College of Arts  Information Technology Unit, University of Baghdad, Baghdad, Iraq.
Iran
lemyataha@yahoo.com
Lagrangemultiplier test
Mean Square Error
Portmanteau test
Standard Akaike information model
1

On the estimation the reliability stressstrength model for the odd Fr`{e}chet inverse exponential distribution
https://ijnaa.semnan.ac.ir/article_5524.html
10.22075/ijnaa.2022.5524
1
The maximum likelihood estimator employs in this paper to shrinkage estimation procedure for an estimate the system reliability $R$ in the stressstrength model, when the stress and strength are independent and nonidentically random variables and they follows the odd Fr`{e}chet inverse exponential distribution (OFIED). Comparisons among the proposed estimators were presented depend on simulation established on mean squared error (MSE) criteria.
0

513
521


A. A.
Eman
Department of Mathematics, Baghdad University, College of Education for Pure Sciences (Ibn AlHaitham), Baghdad, Iraq
Iran
eman.a.al@ihcoedu.uobaghdad.edu.iq


Abbas
Salman
Department of Mathematics, Baghdad University, College of Education for Pure Sciences (Ibn AlHaitham), Baghdad, Iraq
Iran
abbasnajim66@yahoo.com
odd Fr`{e}chet inverse exponential distribution
Reliability StressStrength model
Maximum likelihood estimator
Shrinkage estimator
Single Stage Shrunken estimator
mean squared
1

On the Nonlinear Impulsive VolterraFredholm Integrodifferential Equations
https://ijnaa.semnan.ac.ir/article_5527.html
10.22075/ijnaa.2020.20005.2117
1
In this paper, we investigate existence and uniqueness of solutions of nonlinear VolterraFredholm impulsive integrodifferential equations. Utilizing theory of Picard operators we examine data dependence of solutions on initial conditions and on nonlinear functions involved in integrodifferential equations. Further, we extend the integral inequality for piecewise continuous functions to mixed case and apply it to investigate the dependence of solution on initial data through $epsilon$approximate solutions. It is seen that the uniqueness and dependency results got by means of integral inequity requires less restrictions on the functions involved in the equations than that required through Picard operators theory.
0

523
537


Pallavi
Shikhare
Department of Mathematics,
Shivaji University, Kolhapur416 004,
Maharashtra, India.
Iran
jananishikhare13@gmail.com


Kishor
Kucche
Shivaji University, Kolhapur.
Iran
kdkucche@gmail.com


Jose
Sousa
Department of Applied Mathematics, ImeccUnicamp, 13083859, Campinas, SP, Brazil.
Iran
ra160908@ime.unicamp.br
VolterraFredholm equation
Integral inequality
Impulse condition
$epsilon$approximate solution
Dependence of solutions
1

The impact of petrochemical industry economic activities on environmental factors using a fuzzy mathematical programming model
https://ijnaa.semnan.ac.ir/article_5510.html
10.22075/ijnaa.2021.23377.2525
1
Due to the nature of activities and processes, the petrochemical industry causes the production of industrial effluents, emissions and wastes that have adverse effects on the environment. The purpose of this study is to investigate the effect of petrochemical economic activities on environmental factors. In this paper, in order to minimize the costs and the amount of pollution caused by the emission of harmful gases, the closedloop green supply chain model has been used, in which direct and reverse logistics networks have been considered. As a result, a fuzzy mathematical programming model has been developed for when the data are not definitively known. After the demand parameters and the amount of pollution are considered fuzzy, the maximum and bisector mean methods of the area are considered as methods (diffusion) of comparison and ranking of fuzzy definite numbers, and by adding Limitations of these two methods, the model was developed. To solve the model with real data, a plant from the petrochemical industry was selected and the data were prepared for a solution with very good estimates. Finally, the colonial competition algorithm was used to solve it. According to the model, its applicability was shown to reduce the number of environmental pollutants along with the reduction of transportation and waste, and the model for the closedloop supply chain, which simultaneously considers two direct and inverse logistics networks. It is appropriate.
0

539
553


Abdolkhalegh
Vadian
Department of Industrial Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
Iran
abdolkalegh57vadian@gmail.com


Mohammad Mehdi
Movahedi
Department of Industrial Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
Iran
mmmovahedi@gmail.com


Amir Gholam
Abri
Department of Mathematics, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
Iran
amirgholamabri@gmail.com


Mohammad Reza
Lotfi
Department of Industrial Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
Iran
reza.lotfi300@gmail.com
Fuzzy programming
Environmental pollutants
Petrochemical
Colonial competition algorithm
1

nJordan *Derivations in Frechet locally C*algebras
https://ijnaa.semnan.ac.ir/article_5532.html
10.22075/ijnaa.2020.19996.2116
1
Using the fixed point method, we prove the HyersUlam stability and the superstability of $n$Jordan $*$derivations in Fr'echet locally $C^*$algebras for the following generalized Jensentype functional equation$$ fleft(frac{ a+b}{2} right) + fleft( frac{ab}{2} right) =f(a).$$
0

555
562


Javad
Jamalzadeh
Department of Mathematics, Faculty of Mathematics, University of Sistan and Baluchestan, Zahedan, Iran
Iran
jamalzadeh1980@gmail.com


Khatere
Ghasemi
Department of Mathematics, Faculty of Mathematics, University of Sistan and Baluchestan, Zahedan, Iran
Iran
khatere.ghasemi@pgs.usb.ac.ir


Shahram
Ghaffary
Department of Mathematics, Faculty of Mathematics, University of Sistan and Baluchestan, Zahedan, Iran
Iran
shahram.ghaffary@gmail.com
nJordan *derivation
Frechet locally Calgebra
Frechet algebra
Fixed point method
HyersUlam stability
1

On the invariance properties of VaidyaBonner geodesics via symmetry operators
https://ijnaa.semnan.ac.ir/article_5538.html
10.22075/ijnaa.2020.21159.2238
1
In the present paper, we try to investigate the Noether symmetries and Lie point symmetries of the VaidyaBonner geodesics. Classification of onedimensional subalgebras of Lie point symmetries are considered. In fact, the collection of pairwise nonconjugate onedimensional subalgebras that is called the optimal system of subalgebras is determined. Moreover, as illustrative examples, the symmetry analysis is implemented on two special cases of the system.
0

563
571


Davood
Farrokhi
Department of Mathematics, Karaj Branch, Islamic Azad University, karaj, Iran.
Iran
davoodfarokhi61@gmail.com


Rohollah
Bakhshandeh Chamazkoti
Department of Mathematics, Faculty of Basic Sciences,
Babol Noshirvani University of Technology, Babol, Iran
Iran
r_bakhshandeh@nit.ac.ir


Mehdi
Nadjafikhah
School of Mathematics,
Iran University of Science and Technology
Narmak, Tehran, 1684613114, Iran
Iran
m_nadjafikhah@iust.ac.ir
determining equations
Lie point symmetry
Noether's theorem
optimal system
prolongation
1

Some coupled coincidence and coupled common fixed point result in dislocated quasi bmetric spaces for rational type contraction mappings
https://ijnaa.semnan.ac.ir/article_5539.html
10.22075/ijnaa.2020.21543.2270
1
The aim of this paper is to establish coupled coincidence and coupled common fixed point theorems involving a pair of weakly compatible mappings satisfying rational type contractive condition in the setting of dislocated quasi bmetric spaces. The presented result improves and generalizes several wellknown comparable results in the existing literature. We also provided an example in support of our main result.
0

573
582


Mesaud
Yimer
Department of Mathematics, College of Natural and Computational Science, Samara University, Samara,Ethiopia
Ethiopia
mesaudtesfaye05@gmail.com


Kidane
Koyas
Department of Mathematics, Jimma University, Jimma, Ethiopia
Ethiopia
kidanekoyas@yahoo.com


Solomon
Gebregiorgis
Department of Mathematics, Jimma University, Jimma, Ethiopia
Ethiopia
solomon.gebregiorgis@ju.edu.et
Dislocated quasi bmetric space
coupled coincidence point
coupled common fixed point
weakly compatible mapping
1

Review of machine learning and deep learning mechanism in cyberphysical system
https://ijnaa.semnan.ac.ir/article_5540.html
10.22075/ijnaa.2022.5540
1
CyberPhysical Systems are one of the emerging technologies which involve the integration of cyber system physical and control systems. This Cyberphysical System automates the industrial process like manufacturing, monitoring and control. Since the system involves three different cyber, physical and control optimization domains, such systems are complex in nature and cannot be done with a traditional optimization mechanism. Machine learning and deep learning are efficient mechanisms to model the behavior of such complex systems for design and optimization. In this work, the application of machine learning mechanisms in the cyberphysical system for various purposes like security, reorganization, and scheduling. This systematic review will give more insight into the latest application and mechanism of machine learning and deep learning for the cyberphysical system.
0

583
590


V
Padmajothi
ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India
Iran
padmajov@srmist.edu.in


J L
Iqbal
ECE, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India
Iran
drmazheriqbal@veltechuniv.edu
Anomalous detection
cyberphysical system
Deep learning
fault analysis
machine learning
security
scheduling
1

Genetic algorithm and principal components analysis in speechbased parkinson's early diagnosis studies
https://ijnaa.semnan.ac.ir/article_5541.html
10.22075/ijnaa.2022.5541
1
Parkinson's Disease (PD) is a neurodegenerative disorder that affects predominantly neurons in the brain. The main purpose of this paper is to define a way in detecting the PD in its early stages. This has been achieved through the use of recorded speech, a biomarker in the natural environment in its original state. In this paper, the MelFrequency Cepstral Coefficients (MFCC) method is utilized to extract features from the recorded speech. The principal component analysis (PCA) and Genetic algorithm (GA) are then applied for feature extraction/selection. Once the features are selected, multiple classifiers are then applied for classification. Performance metrics such as accuracy, specificity, and sensitivity are measured. The result shows that Support Vector Machine (SVM) along with the GA has shown optimal performance.
0

591
602


Harisudha
Kuresan
Department of Electronics and Communication Engineering, College of Engineering and Technology, Faculty of
Engineering and Technology SRM Institute of Science and Technology SRM Nagar, Kattankulathur 603203.
Kanchipuram, Chennai T.N, India
Iran
harisudk@srmist.edu.in


Dhanalakshmi
Samiappan
Department of Electronics and Communication Engineering, College of Engineering and Technology, Faculty of
Engineering and Technology SRM Institute of Science and Technology SRM Nagar, Kattankulathur 603203.
Kanchipuram, Chennai T.N, India
Iran
dhanalas@srmist.edu.in
Parkinson's disease
Support Vector Machine
Mel Frequency Cepstral Coefficient
principal component analysis
Accuracy
Sensitivity
Specificity
Genetic algorithm
1

An innovative and robust technique for human identification and authentication based on a secure clinical signals transmission
https://ijnaa.semnan.ac.ir/article_5542.html
10.22075/ijnaa.2022.5542
1
EEG (Electroencephalogram) is brain waves measure. It is available test allowed to discover the brain functions over time. The brain troubles are evaluated by EEG. It is used to locate the activity in the brain during a seizure and to consider the patients who suffer from brain functionality problems. These troubles include tumors, coma, confusion and longterm difficulties (such as weakness associated with a stroke). The acquisition of EEG signals requires contact and liveliness and these signals are changes under stress that make so potentially unnecessary if it is acquired under menace. In this paper, an innovative and robust solution for this problem is introduced. To this end, the manner depends on models of various data compression models of informationtheoretic plus the metrics symmetry related to Kolmogorov complexity. The proposed procedure compares two EEG segments and clusters the data into three groups: a corresponding record for each participant, a distinct person for each group, and selfparticipant. The technique was used to determine the database participant based on EEG signals. Using a distance measuring approach suggested in this scheme, a 1NN classifier was constructed. Nearly every person in the underlying database could be accurately identified by the classifier with $96%$ accuracy
0

603
613


Baqer
Hakim
College of Dentistry, University of AlAmeed, Karbala PO Box 198, Iraq
Iran
h.bagher@alameed.edu.iq


Ahmed
Radhi
College of Pharmacy, University of AlAmeed, Karbala PO Box 198, Iraq
Iran
ahmosawi@alameed.edu.iq


Fuqdan
ALIbraheemi
Department of Computer Engineering and Information Technology, Faculty of Engineering, Razi University, Kermanshah,
Iran
Iran
fuqdan@razi.ac.ir
Electroencephalogram (EEG)
Pearson Correlation (PrCo)
Euclidean Distance (EucDis)
Signal Encryption
1

Coefficient bounds for a new family of biunivalent functions associated with $(U,V)$Lucas polynomials
https://ijnaa.semnan.ac.ir/article_5549.html
10.22075/ijnaa.2021.23927.2639
1
The aim of this paper is to use (U,V)Lucas polynomials to introduce and study a new family of holomorphic and biunivalent functions defined in the open unit disk which involve qderivative operator. We investigate upper bounds for the TaylorMaclaurin coefficients d2 and d3 and Fekete Szego ̈ problem for functions belongs to this new family. Some interesting consequences of the results established here are indicated.
0

615
626


Timilehin
Shaba
Department of Mathematics, University of Ilorin, P. M. B. 1515, Ilorin, Nigeria
Nigeria
shabatimilehin@gmail.com


Abbas
Wanas
University of AlQadisiyah, College of science, Department of Mathematics, Al Diwaniyah, AlQadisiyah, Iraq
Iraq
abbas.kareem.w@qu.edu.iq
(U
V )Lucas polynomials
Biunivalent function
Coefficient bounds
subordination
1

A hybrid ARFIMAfuzzy time series (FTS) model for forecasting daily cases of Covid19 in Iraq
https://ijnaa.semnan.ac.ir/article_5553.html
10.22075/ijnaa.2022.5553
1
Most time series are characterized in practice that they consist of two components, linear and nonlinear, and when making predictions, the single models are not sufficient to model these series. Recently several linear, nonlinear and hybrid models have been proposed for prediction, In this research, a new hybrid model was proposed based on the combination of the linear model AutoRegressive Fractionally Integrated Moving Average (ARFIMA) with the nonlinear model fuzzy time series model (FTS). The proposed hybrid model analyzes the linear component of the specified time series using the ARFIMA model, calculates the estimated values, and then calculates the residuals for this model by subtracting the estimated values from the original time series. The nonlinear component is analyzed using the (FTS) model for the computed residuals, which inherently contain the nonlinear patterns of the time series. The final values for the prediction by applying the} {hybrid model (ARFIMAFTS) are obtained by combining the predictions of the (ARFIMA) model of the original series with the predictions of the model (FTS) for the residual series. The new hybrid model was used to predict those infected with the Covid19 virus in Iraq for the period from 24/2/2020 to 11/8/2021. The proposed model was more efficient in the prediction process than the single (ARFIMA) model using a number of comparison criteria, including (RMSE), (MAPE) and (MAE). The final results showed that the proposed model has the ability to predict time series that contain linear and nonlinear components
0

627
641


Saif
Salman
Department of Statistics, College of Management and Economics, Baghdad University, Baghdad, Iraq
Iran
saif.salman0901@coadec.uobaghdad.edu.iq


Emad
Aboudi
Department of Statistics, College of Management and Economics, Baghdad University, Baghdad, Iraq
Iran
emadhazim@coadec.uobaghdad.edu.iq
ARFIMA
Fuzzy Time Series
Long Memory Time Series
Hybrid Model
1

Investigation and Classification of Chronic Wound Tissue images Using Random Forest Algorithm (RF)
https://ijnaa.semnan.ac.ir/article_5554.html
10.22075/ijnaa.2021.24438.2744
1
The broad increase make use of digital cameras, by hand wound imaging has turn out to be common practice in experimental place. There is in malice of still a condition for a reasonable device for accurate wound curing consideration between dimensional facility and tissue categorization in a exacting simple to exploit technique We achieved the major unit of this plan by computing a 3D model for wound dimensions using un calibrated revelation techniques. We highlight at this point on tissue classification from color and eminence region descriptors computed after unverified segmentation. As a result of perception distortions, unconstrained lighting provisions and viewpoints, wound assessments modify commonly in the middle of patient review. The majority significant separation of this article is to overcome this trouble by means of a multi inspection approach for tissue classification, relying on a 3D model onto which tissue labels are mapped and categorization result merged. The investigational categorization tests communicate that improved repeatability and robustness are obtained and that metric assessment is attain through appropriate region and degree dimensions and wound chart origin. In this manuscript we proposed wound image segmentation, tissue classification in grouping with the Random Forest (RF). These methodology are helpful for classifying the rate of injured tissue in a segmented element and improved accuracy.
0

643
651


T.
Chitra
Department of ECE, Christian College of Engineering & Technology, Oddanchatram near, Pin code  624619, Tamilnadu.
Iran
chitra18041987@gmail.com


C.
Sundar
Department of CSE, Christian College of Engineering & Technology, Oddanchatram near, Pin code  624619, Tamilnadu.
Iran
sundarc007@yahoo.com


S.
GOPALAKRISHNAN
Department of Electronics and Communication Engineering, Siddhartha Institute of Technology and Sciences, Narapally, Pin Code  Hyderabad500088.
Iran
drsgk85@gmail.com
Mean Shift Filtering
Region Growing Method
Neural Network
and Random forest Classifier
Tissue classification
1

Some common fixed point results of multivalued mappings on fuzzy metric space
https://ijnaa.semnan.ac.ir/article_5581.html
10.22075/ijnaa.2019.17938.1976
1
The aim of this paper is to establish new fixed point theorems for singlevalued and multivalued maps which satisfy αψcontraction conditions in the complete fuzzy metric space. In this paper, we extend the results of Hussain et al. and Samet et al. Some comparative examples are also given which demonstrate the superiority of our results from the exiting results in the literature.
0

653
662


Mohit
Kumar
Department of Mathematics, School of Computing, University of Engineering and technology Roorkee, Haridwar, Uttarakhand247667, India
Iran
mkdgkv@gmail.com


Ritu
Arora
Department of Mathematics, Kanya Gurukula Campus, Gurukula Kangri Vishwavidyalaya, Haridwar, Uttarakhand249404, India
Iran
ritu.arora29@gmail.com


Ajay
Kumar
Department of Mathematics, Shaheed Srimati Hansa Dhanai Government Degree College, Agrora (Dharmandal), Tehri Garhwal, Uttarakhand 249127, India
Iran
ajaygraph.gkv.math@gmail.com
Fuzzy metric space
Fixed point
$alphapsi$contractive mapping
$alpha_{ast}$admissible
Hausdorff fuzzy metric space
1

Solving partial differential equations via a hybrid method between homotopy analytical method and Harris hawks optimization algorithm
https://ijnaa.semnan.ac.ir/article_5555.html
10.22075/ijnaa.2022.5555
1
In this article, a modern analytical technique called Homotopy Analysis Method (HAM) has been applied to several partial differential equations to obtain their sequential solution. The performance of the method was analysed on partial differential equations and found to be computationally efficient. The homotopy analysis method (HAM) has been found to be effective. The numerical results have been improved by proposing a new technique that combines the numerical method with the Harris Hawks Optimization algorithm. The current numerical results are compared to the exact solutions and it's found to be in very good results.
0

663
671


Abeer
Ahmad
Department of Mathematics, College of Computer Sciences and Mathematics, University of Mosul, Iraq
Iran
abeeraldabagh@uomosul.edu.iq
homotopy analytical method
Harris hawks optimization algorithm
Partial differential equations
1

Impact of movement control order implementation on electricity consumption: A case study of university buildings
https://ijnaa.semnan.ac.ir/article_5556.html
10.22075/ijnaa.2022.5556
1
The Covid19 pandemic has first been identified in China at the end of 2019 and later has spread worldwide. In Malaysia, Covid19 cases have increased drastically in March 2020 that caused the Government to implement a Movement Control Order (MCO) starting 18 March 2020 to curb the outbreak which has affected all sectors in the country including higher education institutions. The objective of this paper is to present the impact of MCO implementation on the electricity consumption on the university buildings particularly at Universiti Malaysia Perlis. The methodology processes involve comparing the energy usage in 2019 as baseline data with usage in 2020 as the assessed data. These data then been analyzed for every 3 months or quarterly for reporting. Based on the results, MCO implementation has shown positive impact to the energy conservation where 3,023 MWh of electrical energy has been reduced in 2020 which is 25.72% less than the same period in 2019. This condition has been extremely beneficial to the university’s operations where RM 1.369 million of electricity bill has been saved. In the aspect of environmental sustainability, the amount of energy reduction is equivalent to more than 2,000 tonnes of CO2 avoidance at rated value 0.694 tCO2 per MWh. As a result from energy reduction, the BEI performance of the buildings has improved from 3Star (moderately efficient) to 4Star (efficient).
0

673
684


Tunku Muhammad Nizar
Tunku Mansur
Faculty of Electrical Engineering Technology, University Malaysia Perlis, Arau, Perlis, Malaysia
Iran
tunkunizar@unimap.edu.my


Nor Hanisah
Baharudin
Faculty of Electrical Engineering Technology, University Malaysia Perlis, Arau, Perlis, Malaysia
Iran
norhanisah@unimap.edu.my


Rosnazri
Ali
Faculty of Electrical Engineering Technology, University Malaysia Perlis, Arau, Perlis, Malaysia
Iran
rosnazri@unimap.edu.my


Saifol
Nizal Sharif
Development Department, University Malaysia Perlis, Malaysia
Iran
saifolnizal@unimap.edu.my
COVID19
Lockdown
Energy consumption
Building Energy Intensity and Sustainability
1

Fixed point theorem for asymptotically nonexpansive mappings under a new iteration sequence in CAT(0) space
https://ijnaa.semnan.ac.ir/article_5557.html
10.22075/ijnaa.2022.5557
1
This paper is to define a new iterative scheme under a special sequence of asymptotically nonexpansive mapping with a special sequence. We prove some convergence, existence in {CAT(0)} space.
0

685
691


Ahmed
Hadi
Mathematics Science, Ministry of Education, Directorate of Education Baghdad AlRusafa 1{st}, Iraq
Iran
ahmed08hadi@gmail.com


Sabah
Malih
Department of mathematics, College of Education for pure science (IbnALHaitham), university of Baghdad,
Baghdad, Iraq
Iran
sabahhassanmalih@gmail.com
{CAT(0)} space
new iteration sequence
$mathrm{Delta}${convergent subsequence}
1

Implementation of threephase DSTATCOM using frequency domainbased voltage reference configuration(VRC)control algorithm for power quality improvement
https://ijnaa.semnan.ac.ir/article_5558.html
10.22075/ijnaa.2022.5558
1
Power quality problems in the distribution system have tremendously escalated due to numerousconsumptions of various types of loads especially nonlinear loads. These problems have affectedthe utility grid and the consumers in the distribution system resulting in equipment breakdown,overheating in utility system equipment, and other problems related to electronics devices that arebeing used by the utility system and the consumers. The electronics devices are quite sensitiveand can be malfunctioned even with small disruptions that occured in the supply power system.The power quality problem involved with nonlinear loads can be mitigated by using DistributionStatic Synchronous Compensator (DSTATCOM). This paper proposed a method for power qualityimprovement by using a Frequency Domainbased Voltage Reference Configuration (VRC) controlalgorithm for the Distribution Static Synchronous Compensator (DSTATCOM) in a threephasedistribution system. The performance of the proposed control algorithm is simulated in the MATLABenvironment using Simulink. It is verified that the proposed control algorithm can reduce the THDof the distorted grid current at the Point of Common Coupling (PCC) below 5% according to theIEEE Standard 519:2014 under nonlinear loads and unbalanced loads conditions.
0

693
705


Nur Fatini
Ahmad Sobri
Faculty of Electrical Engineering Technology, University Malaysia Perlis, Arau, Perlis, Malaysia
Iran
nurfatiniahmad7@gmail.com


Nor Hanisah
Baharudin
Faculty of Electrical Engineering Technology, University Malaysia Perlis, Arau, Perlis, Malaysia
Iran
norhanisah@unimap.edu.my


Tunku Muhammad Nizar
Tunku Mansur
Faculty of Electrical Engineering Technology, University Malaysia Perlis, Arau, Perlis, Malaysia
Iran
tunkunizar@unimap.edu.my


Rosnazri
Ali
Faculty of Electrical Engineering Technology, University Malaysia Perlis, Arau, Perlis, Malaysia
Iran
rosnazri@unimap.edu.my
Distribution Static Synchronous Compensator (DSTATCOM)
Threephase threewire (3P3W)
Voltage Reference Configuration (VRC)
Frequency Domain
1

A modification of the CayleyPurser algorithm
https://ijnaa.semnan.ac.ir/article_5559.html
10.22075/ijnaa.2022.5559
1
Cayley Purser Algorithm is a public key algorithm invited by Sarah Flannery in 1998. The algorithm of CayleyPurser is much faster than some public key methods like RSA but the problem of it is that it can be easily broken especially if some of the private key information is known. The solution to this problem is to modify this algorithm to be more secure than before so that it gives its utilizers the confidence of using it in encrypting important and sensitive information. In this paper, a modification to this algorithm based on using general linear groups over Galois field $GF(p^n)$, which is represented by $GL_m(GF(p^n))$ where $n$ and $m$ are positive integers and $p$ is prime, instead of $GL_2(Z_n)$ which is General linear set of inverted matrices $2 times 2$ whose entries are integers modulo $n$. This $GL_m(GF(p^n))$ ensures that the secret key of this algorithm would be very hard to be obtained. Therefore, this new modification can make the CayleyPurser Algorithm more immune to any future attacks.
0

707
716


Sameerah Faris
Khlebus
College of Business Administration of Informatics, University of Information Technology and Communication, Baghdad, Iraq
Iran
sameerah.alradhi@uoitc.edu.iq


Rajaa K.
Hasoun
College of Business Administration of Informatics, University of Information Technology and Communication, Baghdad, Iraq
Iran
dr.rajaa@uoitc.edu.iq


Bassam
Sabri
College of Business Administration of Informatics, University of Information Technology and Communication, Baghdad, Iraq
Iran
bassam.ali@uoitc.edu.iq
cryptography
Cayley Purser Algorithm
Galois field $ GF(p^{n})$
General Linear group over $ GF(p^{n})(GL_{m}(GF(p^{n}))$
Encryption, Decryption
1

Evaluating the performance of company risk disclosure on improving the decisionmaking power of investors using hierarchical analysis technique(AHP)
https://ijnaa.semnan.ac.ir/article_5574.html
10.22075/ijnaa.2021.23520.2553
1
Researchers have traditionally focused more on the quantity of company information disclosures, but in recent years, the quality of the information disclosed is more important than their quantity. On the other hand, the primary purpose of financial reporting is to provide useful information to stakeholders in relation to the conditions of the company to help investors' economic decisions, which is a function of the quality of the information provided by companies. Therefore, in the present study, by examining the opinions of experts and using the process of hierarchical analysis technique, the weight and importance of risk information disclosure criteria at three different levels (general, company specific and industry specific) were extracted in comparison, then by prioritizing them, Compatibility rate was calculated. Using statistical methods of twoway analysis of variance within the subject, it was concluded that there is no significant difference between the effect of risk information disclosure criteria on corporate investors' decision making.
0

717
728


Maryam
Ahmadi
Department of Accounting, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Iran
maryamahmadi1390@yahoo.com


Farzin
Rezaei
Department of Accounting, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Iran
farzin.rezaei@qiau.ac.ir


Naser
Hamidi
Department of Of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Iran
nhamidi1344@gmail.com
Risk information disclosure
Hierarchical analysis
Investor decisionmaking power
1

Establishing mathematical models for determining quantum dot potential for pbs and pbte structures in terms of QD's diameters by numerical methods
https://ijnaa.semnan.ac.ir/article_5575.html
10.22075/ijnaa.2022.5575
1
The main goal of this paper is to obtain the estimated determination of the quantum dot potential for PbS and PbTe structures (in mV) which are compared to other values at different QD's diameters (in nm). In order to investigate this goal, the study relies on two methods of interpolation such as Neville and Spline methods, as well as it constructs mathematical models that help to find the estimate determination of quantum dot potential for PbS and PbTe structures compared to other values at different QD's diameters. The numerical results were very close to the real results. Finally, we estimated the determinations outside the fields and labs of the measured areas.
0

729
735


Aws
Hamdi
Directorate of Education Salah Eddin, Ministry of Education, Iraq
Iran
aws7331@gmail.com


Ghassan
Arif
Department of Mathematics, College of Education for Pure Sciences, Tikrit University, Iraq
Iran
ghasanarif@tu.edu.iq


Anas
Hamdi
Directorate General of Education in Salah alDin Province, Iraq
Iran
anasasaad785@gmail.com
Mathematical model
Neville's method
Spline method
Quantum dot potential for PbS and PbTe
Diameter
1

On $B^{ic}$open set and $B^{ic}$continuous function in topological spaces
https://ijnaa.semnan.ac.ir/article_5576.html
10.22075/ijnaa.2022.5576
1
In this paper, we have introduced a new class of sets in topological space called $B^{ic}$open set and we have introduced and study the properties of $B^{ic}$continuous function and topological properties.
0

737
744


Luma
Abdalbaqi
Department of Mathematics, College of Education for Women, University of Tikrit, Tikrit, Iraq
Iran
lumahhany1977@tu.edu.iq


Zeina
Abdalqater
Department of Mathematics, College of Education for Women, University of Tikrit, Tikrit, Iraq
Iran
ztaha@tu.edu.iq


Hiba
Mousa
Department of Mathematics, College of Education for Women, University of Tikrit, Tikrit, Iraq
Iran
hom_34@tu.edu.iq
$beta$open set
$B^{ic}$open set
$B^{ic}$continuous function
$beta$ irresolute function
$B^{ic}$irresolute function
1

A landscape view of deepfake techniques and detection methods
https://ijnaa.semnan.ac.ir/article_5580.html
10.22075/ijnaa.2022.5580
1
Deep fakes is the process of changing the information of the image or video with different techniquesand methods that start with humor and fun and sometimes reach economic, political and social goalssuch as counterfeiting, financial fraud or impersonation. The data for this field is still increasing at avery high rate. And therefore. The process of combating and exploring them is a very difficult task.In this paper, we conducted a review of previous studies and what researchers dealt with on thesubject of deep fakes. Explain the concepts of deepfakes. Counterfeiting methods and techniquesand patterns through the techniques and algorithms used in counterfeiting. Some deepfake detectionalgorithms.
0

745
755


Ahmed
Abdulreda
Faculty of Computer Science and Mathematics, University of Kufa, Iraq
Iran
ahmeds.albudairi@student.uokufa.edu.iq


Ahmed
Obaid
Faculty of Computer Science and Mathematics, University of Kufa, Iraq
Iran
ahmedj.aljanaby@uokufa.edu.iq
Manipulation
faking
deepfakes
counterfeiting
1

Comparing predicative power of foreign adjusted bankruptcy through providing proposed model of bankruptcy in Iran
https://ijnaa.semnan.ac.ir/article_5582.html
10.22075/ijnaa.2021.24005.2651
1
The aim of the present study was to compare the productive power of foreign adjusted bankruptcy by providing a proposed model of bankruptcy in Iran. This research is applied in terms of purpose and descriptive and correlational in terms of nature which through that bankruptcy models are studied according to the Shumway's hazard model (2001), and in the form of a logit model and accounting are evaluated based on Pourheydari's and Koopayee's model (2010). Accordingly, a sample including1287 years, the company from 2006 to 2018 has been selected from Tehran Stock Exchange. For statistical hypothesis testing, receiver operating characteristics (ROC) was applied. Receiver operating characteristics is applicable in software like SAS, SPSS, and STATA. The results showed that Shumway's model (2001) provides a more accurate bankruptcy prediction of companies and this is the sign of superiority of the hazard model over classic models.
0

757
764


Mohammad
Sarhadi
Department of Accounting, Zahedan Branch, Islamic Azad University, Zahedan, Iran
Iran
mohammad_sarhaddi111@yahoo.com


Fardin
Mansouri
Department of Accounting, Sistan and Baluchestan University, Zahedan, Iran
Iran
fm_mansor@yahoo.com


Mahdi
Faghani
Department of Accounting, Sistan and Baluchestan University, Zahedan, Iran
Iran
mahdifaghani@gmail.com
Bankruptcy
Financial Crisis
Stock Exchange
1

Medical data encryption in private cloud based on MAR
https://ijnaa.semnan.ac.ir/article_5583.html
10.22075/ijnaa.2022.5583
1
It’s easy to exchange files, folders, and emails in a private network with the aid of a private cloud (PriCld). However, the most common attack with this sort of system is the guessing of the password. The unencrypted connection makes it potential for a maninthemiddle attack (MaMiAtk) to occur at times. Scanners used to discover vulnerabilities in the system and exploiting them are also a major issue. Therefore, a system that can withstand assaults such as MaMiAtk, Denial of Service Attack (DoS attack), and password guessing is required. In the presented study, a logbased analysis approach has been recommended to guard the system against assaults such as DoS attack, password guessing, and automated scanners. We also use encrypted channels to prevent attacks such as MaMiAtk.
0

765
771


Ahmed
Radhi
College of Pharmacy, University of AlAmeed, Karbala PO Box 198, Iraq
Iran
ahmosawi@alameed.edu.iq


Baqer
Hakim
College of Dentistry, University of AlAmeed, Karbala PO Box 198, Iraq
Iran
h.bagher@alameed.edu.iq


Fuqdan
ALIbraheemi
Department of Computer Engineering and Information Technology, Faculty of Engineering, Razi University, Kermanshah,
Iran
Iran
fuqdan@razi.ac.ir
Denial of service (DoS attack)
Medical Record Analysis (MAR)
Private Cloud (PriCld)
maninthemiddle (MaMiAtk)
1

A hybrid technique for EEG signals evaluation and classification as a step towards to neurological and cerebral disorders diagnosis
https://ijnaa.semnan.ac.ir/article_5590.html
10.22075/ijnaa.2022.5590
1
Electroencephalography (EEG) signals are commonly used to identify and diagnose brain disorders. Each EEG normal waveform consists of the following waveforms: Gamma(γ) wave, Beta (β) wave, Alpha (α), Theta (θ), and Delta (δ). The term Neurological Diseases ” NurDis ” is used to describe a variety of conditions that affect the nervous Epilepsy, neuro infections (bacterial and viral), brain tumors, cerebrovascular diseases, Alzheimer’s disease, and various dementias are all examples of neurological disorders. Encephalitis is one of the illnesses that affects the brain. The EEG signals used in this paper were from the CHBMIT Scalp EEG database. The discrete wavelet transform (DWT) was utilized to extract characteristics from the filtered EEG data. Finally, classifiers such as K Nearest Neighbor (KNN) and Support vector machine (SVM) were used to categorize the EEG signals into normal and pathological signal classes using all of the computed characteristics. In order to categorize the signal in a normal and anomalous group, the KNN and SVM classifiers are employed. For both classifiers, performance assessments (accuracy, sensitivity and specificity) are determined. KNN classifier accuracy is 71.88%, whereas SVM classifier accuracy is 81.23%. The sensitivity of KNN and SVM are 80.14% and 77.31%, respectively. The KNN classification specificity is 69.62% and the SVM classification specificity is 98%. Both classifiers performance is evaluated using the confusion matrix.
0

773
781


Azmi
Abdulbaqi
College of Computer Science and Information Technology, University of Anbar, Iraq
Iran
msc@uoanbar.edu.iq


Muhanad
Younis
Department of Computer Science, Science College, Mustansiriyah University, Baghdad, Iraq.
Iran
mty@uomustansiriyah.edu.iq


Younus
Younus
Department of Oil and gas economics, college of administration sciences and financial, Imam Ja’afar Alsadiq university, Baghdad, Iraq
Iran
younus.younus@sadiq.edu.iq


Ahmed
Obaid
Faculty of Computer Science and Mathematics, University of Kufa, Iraq.
Iran
ahmedj.aljanaby@uokufa.edu.iq
Discrete wavelet transform (DWT)
Support Vector Machine (SVM)
Electroencephalography (EEG) signals
KNearest neighbor (KNN)
1

A numerical scheme for solving nonlinear parabolic partial differential equations with piecewise constant arguments
https://ijnaa.semnan.ac.ir/article_5591.html
10.22075/ijnaa.2021.23741.2608
1
This article deals with the nonlinear parabolic equation with piecewise continuous arguments (EPCA). This study, therefore, with the aid of the $theta$ methods, aims at presenting a numerical solution scheme for solving such types of equations which has applications in certain ecological studies. Moreover, the convergence and stability of our proposed numerical method are investigated. Finally, to support and confirm our theoretical results, some numerical examples are also presented.
0

783
789


Mojgan
Esmailzadeh
Department of Applied Mathematics, Bandar Anzali Branch, Islamic Azad University, Bandar Anzali , Iran
Iran
m.esmailzadeh11@gmail.com


Javad
Alavi
Department of Applied Mathematics and Computer Science, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran
Iran
javadealavi@gmail.com


Hashem
Saberi Najafi
Department of Applied Mathematics and Computer Science, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran
Iran
hnajafi@guilan.ac.ir
Partial differential equation with piecewise constant arguments (EPCA)
$theta$methods
Convergence
Trustregiondogleg method
1

A selfadaptive hybrid inertial algorithm for split feasibility problems in Banach spaces
https://ijnaa.semnan.ac.ir/article_5595.html
10.22075/ijnaa.2021.23402.2532
1
In this paper, we introduce a new selfadaptive hybrid algorithm of inertial form for solving Split Feasibility Problem (SFP) which also solve a Monotone Inclusion Problem (MIP) and a Fixed Point Problem (FPP) in $p$uniformly convex and uniformly smooth Banach spaces.Motivated by the selfadaptive technique, we incorporate the inertial technique to accelerate the convergence of the proposed method.Under standard and mild assumption of monotonicity of the SFP associated mapping, we establish the strong convergence of the sequence generated by our algorithm which does not require a prior knowledge of the norm of the bounded linear operator. Some numerical examples are presented to illustrate the performance of our method as well as comparing it with some related methods in the literature.
0

791
812


Abdsemii OluwatosinEnitan
Owolabi
School of Mathematics, Statistics and Computer Science, University of KwaZuluNatal, Durban, South Africa
South Africa
218086824@stu.ukzn.ac.za


Adeolu
Taiwo
School of Mathematics, Statistics and Computer Science, University of KwaZuluNatal, Durban, South Africa
South Africa
218086816@stu.ukzn.ac.za


Lateef
Jolaoso
School of Mathematics, Statistics and Computer Science, University of KwaZuluNatal, Durban, South Africa
South Africa
216074984@stu.ukzn.ac.za


Oluwatosin
Mewomo
School of Mathematics, Statistics and Computer Science, University of KwaZuluNatal, Durban, South Africa
South Africa
mewomoo@ukzn.ac.za
split feasibility problem
Bregman distance
uniformly smooth Banach spaces
uniformly convex Banach spaces
Variational inequalities
Bregman and metric projection
1

The operations effects on the line graphs of simple graphs
https://ijnaa.semnan.ac.ir/article_5599.html
10.22075/ijnaa.2022.5599
1
The line graph of the graph $Gamma$ denoted by $L(Gamma)$ is a graph with a vertex set consists of the sets of edges of $Gamma$ and two vertices are adjacent in $L(Gamma)$ if they are incident in $Gamma$. In this article, we discuss and determine the effect of operations on the line graphs of simple graphs.
0

813
816


Fawwaz
Wrikat
Department of Mathematics and Statics, Mutah University, AlKarak, Jordan
Iran
fawwari@gmail.com
Graph
simple
line graph
operations
1

Comparison of edge discrimination of microbubbles between Sobel and improved mathematics of Canny edge detection
https://ijnaa.semnan.ac.ir/article_5600.html
10.22075/ijnaa.2022.5600
1
Bubble sizes are generated by microbubble generators (MBGs) in the water for their effect on the percentage of dissolved oxygen in the water and we find this in aquaculture where oxygen is important to marine life and in many applications. And since these bubbles range in size from 20 to 50, we need to highlight the shape of the bubble and distinguish it, so two Sobel algorithms were used and the Canny method was improved and compared between them, where the edge detection algorithm is sensitive to noise, and therefore, it is easy to lose weak edge information when filtering noise, and it appears ts fixed parameters are weak adaptability. In response to these problems, this paper proposed an improved algorithm based on the Canny algorithm. This algorithm introduced the concept of gravitational field strength to replace the image gradient and obtained the gravitational field strength factor. Two methods for choosing the adaptive threshold based on the average image gradation The size and standard deviation of two types of model images (one containing less edge information, the other containing rich edge information) were subtracted, respectively. The improved Canny algorithm is simple and easy to achieve. Experimental results show that the algorithm can retain more useful information and is more robust in the face of noise.
0

817
829


Ayman
Qaddoori
Informatics Institute for Postgraduate Studies Iraqi Commission for Computer and Informatics, Baghdad, Iraq
Iran
ms201910470@iips.icci.edu.iq


Jamila
Saud
College of Science, Mustansiriyah University, Baghdad, Iraq
Iran
dr.jameelahharbi@uomustansiriyah.edu.iq
Bubble size
Detection Technique
Sobel edge detection
improved Canny algorithm
1

Fixed point on generalized dislocated metric spaces
https://ijnaa.semnan.ac.ir/article_5601.html
10.22075/ijnaa.2020.20980.2218
1
In the present paper, we introduce new types of convergence of a sequence in left dislocated and right dislocated metric spaces. Also, we generalize the Banach contraction principle in these newly defined generalized metric spaces.
0

831
836


M
Ahmed
Department of Mathematics, Faculty of Science, AlZulfi, Majmaah University, Majmaah, 11952, Saudi Arabia
Iran
moh.hassan@mu.edu.sa


Ismat
Beg
Centre for Mathematics and Statistical Sciences, Lahore School of Economics, Lahore 53200, Pakistan
Iran
ibeg@lahoreschool.edu.pk


S
Khafagy
Department of Mathematics, Faculty of Science, AlZulfi, Majmaah University, Majmaah, 11952, Saudi Arabia
Iran
khafagy@mu.edu.sa


N.
Nafadi
Department of Mathematics, Faculty of Science, Port Said University, Port Said, Egypt
Iran
hatem9007@yahoo.com
Fixed point
left dislocated metric
right dislocated metric
Contraction
1

Mathematical analysis wavelets characteristics and their applications
https://ijnaa.semnan.ac.ir/article_5602.html
10.22075/ijnaa.2022.5602
1
Wavelets are now perceived as a groundbreaking new mathematical apparatus in signal and picture handling, time arrangement analysis, geophysics, guess hypothesis, and numerous various zones. Wavelet analysis has been an effective way to deal with issues related to analysing a signal in both time and frequency areas. Analysing a nonstationary signal becomes difficult for the various transform methods. Wavelet transforms techniques like Fourier Transform (FT), shorttime Fourier transforms (STFT), and wavelet transform (WT) methods and their application are also discussed in detail. Wavelet analysis can be applied to onedimensional signals like audio signals as well as twodimensional signals like images. However wavelet processing has wide applications, some of the applications and methods are discussed in the paper.
0

837
850


Ali
Shaker
Directorate of Scholarships and Cultural Relations, Ministry of Higher Education and Scientific Research of Iraq, Baghdad, Iraq
Iran
alinaji@scrdiraq.gov.iq
Mathematical study
wavelet analysis
signal
Frequency
application and transform methods
1

Simulation and analysis of queuing networks at Basra International Airport using the program R
https://ijnaa.semnan.ac.ir/article_5603.html
10.22075/ijnaa.2022.5603
1
Airports are considered a civilized interface that reflects the economic strength of the country and its development, and that Basra International Airport is the second largest airport in Iraq in terms of area, and one of the most important services it provides is to reduce the waiting time at the boarding pass stations and the security check station and passport stamping for foreign trips and to calculate the airport's ability to leave travellers from Basra airport. The simulation was used to find out the ability of Basra Airport to accommodate the number of passengers at peak times of the sequential queuing networks model.
0

851
858


Salwan
Saleh
Collage of Management and Economic, University of Basra, Iraq
Iran
ssalwan86@yahoo.com


Nada
Jarah
Collage of Management and Economic, University of Basra, Iraq
Iran
nadabadrjarah@yahoo.com
Basra International Airpor
Simulation, queuing networks
programming language R
1

Application of a generalization of Darbo's fixed point theorem via MizogochiTakahashi mappings on mixed fractional integral equations involving $(k, s)$RiemannLiouville and Erd'{e}lyiKober fractional integrals
https://ijnaa.semnan.ac.ir/article_5604.html
10.22075/ijnaa.2021.23002.2451
1
We have established the solvability of fractional integral equations with both $(k,s)$RiemannLiouville and Erd'{e}lyiKober fractional integrals using a new generalized version of the Darbo's theorem using MizogochiTakahashi mappings and justify the validity of our results with the help of suitable examples.
0

859
869


Anupam
Das
Department of Mathematics, Cotton University,
Panbazar, Guwahati781001, Assam, India
Iran
math.anupam@gmail.com


Vahid
Parvaneh
Department of Mathematics, GilanEGharb Branch, Islamic Azad University, GilanEGharb, Iran
Iran
zam.dalahoo@gmail.com


Bhuban
Deuri
Department of Mathematics, Rajiv Gandhi University, Rono Hills, Doimukh791112, Arunachal Pradesh, India
Iran
bhuban.math@gmail.com


Zohreh
Bagheri
Department of Mathematics, Azadshahr Branch, Islamic Azad University, Azadshahr, Iran
Iran
zohrehbagheri@yahoo.com
Functional integral equations (FIE)
Measure of noncompactness (MNC)
Fixed point theorems (FPT)
1

Approximation (M.S.E) of the shape parameter for Pareto distribution by using the standard Bayes estimator
https://ijnaa.semnan.ac.ir/article_5605.html
10.22075/ijnaa.2022.5605
1
In this paper, Pareto distribution was studied using a standard Bayes estimator. A Pareto distribution of two parameters is investigated to find the approximation of (M.S.E) of the shape parameter by depending on Tyler series of two variables to propose a model mathematically.
0

871
880


Adwea
Atewi
Institute of Medical Technology AlMansour, Middle Technical University, Baghdad, Iraq
Iran
adweanaji@mtu.edu.iq


Safaa
Ali
Institute of Medical Technology AlMansour, Middle Technical University, Baghdad, Iraq
Iran
safajawad1970@gmail.com


Bushra
Swedan Naser
Institute of Medical Technology AlMansour, Middle Technical University, Baghdad, Iraq
Iran
bushrasewdan@gmail.com


Muataz
Harhoosh
Institute of Medical Technology AlMansour, Middle Technical University, Baghdad, Iraq
Iran
muataz_adnan@mtu.edu.iq
Approximation
Bayes estimator
Pareto distribution
Shape parameter
Jefferys prior
1

Esmall essential submodules
https://ijnaa.semnan.ac.ir/article_5608.html
10.22075/ijnaa.2022.5608
1
Let $R$ be a commutative ring with identity, and (U_{R}) be an $R$module, with (E = End(U_{R})). In this work we consider a generalization of class small essential submodules namely Esmall essential submodules. Where the submodule $Q$ of (U_{R}) is said Esmall essential if $Q$ (cap W = 0) , when W is a small submodule of (U_{R}), implies that (N_{S}left( W right) = 0), where (N_{S}left( W right) = left{ psi in E  Impsi subseteq W right}). The intersection ({overline{B}}_{R}(U)) of each submodule of (U_{R}) contained in (Soc(U_{R})). The ({overline{B}}_{R}(U)) is unique largest Esmall essential submodule of (U_{R}), if (U_{R}) is cyclic. Also in this paper we study ({overline{B}}_{R}(U)) and ({overline{W}}_{E}left( U right)). The condition when ({overline{B}}_{R}(U)) is Esmall essential, and (text{Tot}left( U,U right) = {overline{W}}_{E}left( U right) = J(E)) are given.
0

881
887


Mamoon
Khalf
Department of Physics, College of Education, University of Samarra, Iraq
Iran
mamoun42@uosamarra.edu.iq


Hind
Abbas
Directorate of Education Salah Eddin, Khaled Ibn Al Walid School, Tikrit, Iraq
Iran
hind.f1975@gmail.com
Small submodule
Small essential submodules
Esmall essential submodules
Endomorphism ring
1

Qualitative study of an ecoepidemiological model with antipredator and migration presence
https://ijnaa.semnan.ac.ir/article_5609.html
10.22075/ijnaa.2022.5609
1
In this work, an environmental and epidemiological model has been formulated and analyzed, where it was assumed that there is a disease in the predator society of an incurable type and does not give the predator immunity that leads to the death of the affected predator in the end. On the other hand, it has been assumed that a healthy predator is only capable of predation according to a functional response ~Holling type  IV, Also, two types of factors are considered behavior against predation and the group's defence to formulate our proposed model. In addition, immigration was taken into consideration for prey society, mathematically and biologically acceptable equilibrium points for this model were found, as well, these points were studied analytically and numerically to know the effect especially, the emigration and behavior against predation to keep both the two types.
0

889
899


Azhar
Majeed
Department of Mathematic, College of Science University of Baghdad, Baghdad, Iraq
Iraq
azhar.majeed@sc.uobaghdad.edu.iq
Ecoepidemiological model
SIdisease
Migration
AntiPredator
1

The dynamics and analysis of an SIS disease of a stagestructured preypredator model with a prey refuge
https://ijnaa.semnan.ac.ir/article_5610.html
10.22075/ijnaa.2022.5610
1
In this paper, the dynamical behaviour of an {epidemiological system} has been investigated. A stagestructured preypredator model includes harvest and refuge for only prey, the disease of type (SIS) is just in the immature of the prey and the disease is spread by contact and by external source has been studied. The transmission of infectious diseases in the prey populations has been described by the linear type. While LotkaVolterra functional response is used to describe the predation process of the whole prey population. This model has been represented by a set of nonlinear differential equations. The solution's existence, uniqueness and boundedness have been studied. "The local and global stability conditions of all the equilibrium points" have been confirmed. As a final point, numerical simulation has been used to study the global dynamics of the model.
0

901
919


Zina
Alabacy
Department of Control and Systems Engineering, University of Technology, Iraq
Iran
zina.k.alabacy@uotechnology.edu.iq


Azhar
Majeed
Department of Mathematics, College of Science, University of Baghdad, Baghdad, Iraq
Iran
azhar_abbas_m@scbaghdad.ed.iq
A stagestructured
Preypredator
SIS disease
Refuge
harvesting
1

Analyzing the factorial experiments variances with the repeated values in a practical application
https://ijnaa.semnan.ac.ir/article_5611.html
10.22075/ijnaa.2022.5611
1
With the repeated values, that the factorial experiments will be in three nested factors. And, the third factor is presented by experimental units (subjects). The repeated values or the experimental unit treatments definitely can be taken. These treatments can be dealt with as a fourth factor. Actually, these kinds of experiments have been analyzed in factorial ways, which are presented by the F test. That can be taken place in the condition of variance analysis to the repeated values experiments and in case there is no condition fitting in, we may use nonfactorial ways which are presented by shifting into ranks. Therefore, the aim of this research is to make an analyzed study for this kind of factorial ways or nonfactorial. This kind of experiment can be applied to Thalassemia in ThiQar province.
0

921
936


Suheir
Romani
Department of Business Administration, AlKut University College, Wasit, Iraq
Iran
suheir.kareem@alkutcollege.edu.iq


Roadh
Yousif
Department of Business Administration, AlKut University College, Wasit, Iraq
Iran
roadh.raad@alkutcollege.edu.iq


Hadiya
Matrood
Department of Business Administration, AlKut University College, Wasit, Iraq
Iran
hadiya.hasan@alkutcollege.edu.iq
factorial experiment variance
F test
1

Modelling the influence of prey switching and optimal foraging on the control of banana weevil Cosmopolites Sordidus(Germar)
https://ijnaa.semnan.ac.ir/article_5612.html
10.22075/ijnaa.2021.20119.2127
1
A mathematical model for the control of the banana weevil Cosmopolites Sordidus (Germar) by predatory ant species is formulated and analyzed. The model incorporates predator switching to a nondynamic alternative food source, optimal foraging theory and self regulation in both the banana weevil and predatoryant species! Using Lyapunov's first method, the local stability of the equilibria is established. Furthermore, conditions for the existence of the interior equilibrium are derived and its global stability established by the BendixsonDulac criterion with periodic orbits ruled out by the PoincareBendixson theorem. It is determined that intrinsic growth rates and carrying capacities rather than handling time and nutritional value have significant impact on the banana weevils predatory ant interaction. Numerical simulations confirm the theoretical results.
0

937
954


Eliab
Kweyunga
Department of Mathematics, Mbarara University of Science and Technology, P.O.Box 1410, Mbarara, Uganda.
Iran
hkweyunga@must.ac.ug


Julius
Tumwiine
Department of Mathematics, Mbarara University of Science and Technology, P.O.Box 1410, Mbarara, Uganda.
Iran
jtumwiine@must.ac.ug


Eldad
Karamura
Bioversity InternationalUganda, P.O.Box 24384, Naguru, Kampala, Uganda.
Iran
e.karamura@cgiar.org
Alternative food
banana weevil
biological control
Global Stability
prey switching
optimal foraging
1

Optimizing RSA cryptosystem using Hermite polynomials
https://ijnaa.semnan.ac.ir/article_5614.html
10.22075/ijnaa.2022.5614
1
The Security is requested to relocate paramount information across the networks. To protect the confidential data from hacking, this paper describes a process to increase the security of the RSA algorithm by creating additional layer protection for it using Hermite polynomials which will be represented as a square matrix, its calculation is not complicated. In the RSA process, we need to choose very large numbers that lead to complex operations which require a long computation time, while in proposed encryption due to Hermite key we don't need that because two layers of encryption give robust safeness to the ciphertext from dangers of hackers due to the hard of breakable.
0

955
961


Raghad K.
Salih
Department of Applied Sciences, University of Technology, Baghdad, Iraq
Iran
raghad.k.salih@uotechnology.edu.iq
RSA system
layers and Hermite polynomials
1

Numerical investigation for solving nonlinear partial differential equation using SumuduElzaki transform decomposition method
https://ijnaa.semnan.ac.ir/article_5615.html
10.22075/ijnaa.2022.5615
1
In this study, we used a powerful method, named as SumuduElzaki transform method (SETM) together with Adomian polynomials (APs), which can be used to solve nonlinear partial differential equations. We will give the essential clarification of this method by expanding some numerical examples to exhibit the viability and the effortlessness of this technique which can be used to solve other nonlinear problems.
0

963
973


Mohammed
ALSafi
Department of Accounting, AlEsraa University College, Baghdad, Iraq
Iran
dr.mohammed.ghazi@esraa.edu.iq


Ahmed
Yousif
Department of Mathematics and Computer Applications, College of Science, AlNahrain University, Baghdad, Iraq
Iran
ahmed.ayyoub@nahrainuniv.edu.iq


Muna
Abbas
Department of Accounting, AlEsraa University College, Baghdad, Iraq
Iran
muna@esraa.edu.iq
SumuduElzaki transform
Adomin decomposition
Nonlinear partial differential equation
1

Critical review on mathematics virtual classroom practice in private university
https://ijnaa.semnan.ac.ir/article_5616.html
10.22075/ijnaa.2022.5616
1
A study has proven the benefits of mathematics classes learning mathematics at university. However, there is still a lack of evidence regarding its benefits in mathematics teacher education programs. This study aims to test the flipped class in a mathematics teacher education program at a private university in Indonesia. The data source comes from thirtyone students of the mathematics education program in this study. Various data methods were used, including observation, journals, and tests. Then the data were analyzed quantitatively and qualitatively. The findings showed that a reverse classroom encourages students to learn independently, with students working together with peers and increasing learning awareness. However, some of the challenges presented in flipped classroom applications include technical issues, record editing skills, and longer time consumed. The recommendations offered to refer to the findings.
0

975
982


Samsul
Maarif
Mathematic Education Study Program, Universitas Muhammadiyah Prof. DR. HAMKA, Jakarta, Indonesia
Iran
samsul.maarif@uhamka.ac.id


Khoerul
Umam
Mathematic Education Study Program, Universitas Muhammadiyah Prof. DR. HAMKA, Jakarta, Indonesia
Iran


Joko
Soebagyo
Mathematic Education Study Program, Universitas Muhammadiyah Prof. DR. HAMKA, Jakarta, Indonesia
Iran


Trisna
Pradipta
Mathematic Education Study Program, Universitas Muhammadiyah Prof. DR. HAMKA, Jakarta, Indonesia
Iran
mathematics
Virtual Classroom
Education
university
1

Effects of guided discovery learning models on students' critical thinking ability on the materials of immune system
https://ijnaa.semnan.ac.ir/article_5617.html
10.22075/ijnaa.2022.5617
1
Critical thinking is a skill needed in the 4.0 era of education so to improve critical thinking requires the right method so that learning can develop students' critical thinking skills. The purpose of this study was to determine the effect of guided discovery learning models on students' critical thinking skills on the material of the immune system. This type of research is quasiexperimental and posttest only control group design. Samples were taken by cluster random sampling technique. A total of 69 students were made respondents divided into 2 classes, namely class XI IPA 2 (n = 35) and XI IPA 3 (n = 34). The research instrument in the form of multiple choice questions of critical thinking skills was used as a data collection tool. Data were analyzed using normality test, homogeneity test, and t test The results of this study indicate that there are significant differences between the experimental class and the control class with tcount (2,031)$mathrm{>}$ ttable (1,668). Conclusion: It can be concluded that the use of guided discovery learning models has an effect on students' critical thinking skills with the use of syntax involving students to actively think at a high level to hone their critical thinking skills.
0

983
989


Dahlan
Abdullah
Department of Informatics, Universitas Malikussaleh, Aceh, Indonesia
Iran
dahlan@unimal.ac.id


S.
Susilo
Department of Biology Education, Universitas Muhammadiyah Prof. DR. HAMKA, Jakarta, Indonesia
Iran
susilo@uhamka.ac.id


R.
Romdanih
Department of English Language Education, STKIP Kusuma Negara, Jakarta, Indonesia
Iran
romdanih@stkipkusumanegara.ac.id


S.
Sujinah
Faculty of Education, Universitas Muhammadiyah of Surabaya, Indonesia
Iran
sujinah@pps.umsurabaya.ac.id
Guided Discovery Learning
Critical thinking skills
immune system
1

On an equation characterizing multiquartic mappings and its stability
https://ijnaa.semnan.ac.ir/article_5621.html
10.22075/ijnaa.2021.24010.2652
1
In this paper, we define and investigate the mappings of several variables which are quartic in each variable. We show that such mappings can be unified as an equation, say the multiquartic functional equation. We also establish the HyersUlam stability of a such functional equation by a fixed point theorem in nonArchimedean normed spaces. Moreover, we generalize some known stability and hyperstability results.
0

991
1002


Zohreh
Abbasbeygi
Department of Mathematics, Tehran North Branch, Islamic Azad University, Tehran, Iran
Iran
zohrehabbasbeygi@yahoo.com


Abasalt
Bodaghi
Department of Mathematics, Garmsar Branch, Islamic Azad University, Garmsar, Iran
Iran
abasalt.bodaghi@gmail.com


Ayoub
Gharibkhajeh
Department of Mathematics, Tehran North Branch, Islamic Azad University, Tehran, Iran
Iran
a.gharibkhajeh@gmail.com
Multiquartic functional equation
Multiquartic mapping
nonArchimedean normed space
HyersUlam stability
1

Turan type inequalities for rational functions with prescribed poles
https://ijnaa.semnan.ac.ir/article_5622.html
10.22075/ijnaa.2021.23145.2484
1
In this paper, we establish some inequalities for rational functions with prescribed poles having tfold zeros at the origin. The estimates obtained generalise as well as refine some known results for rational functions and in turn, produce extensions of some polynomial inequalities earlier proved by Turan, Jain etc.
0

1003
1009


Tawheeda
Akhter
Naseem Bagh
Srinagar
Iran
takhter595@gmail.com


Shabir
Malik
Department of Mathematics, University of Kashmir , Srinagar, Jammu and Kashmir, India
Iran
shabirams2@gmail.com


Bashir
Zargar
University of Kashmir
Iran
bazargar@gmail.com
Rational functions
inequalities in complex domain
poles
tfold zeros
1

Optimization of FSW process parameters for welding dissimilar 6061 and 7075 Al alloys using Taguchi design approach
https://ijnaa.semnan.ac.ir/article_5637.html
10.22075/ijnaa.2021.24678.2795
1
Friction stir welding (FSW) produce a strong metallurgical joint with the application of severe deformations and frictional heating in the metals and alloys by using a nonconsumable rotating tool consisting of pin and tool shoulder. During welding, the plastic deformations of base metals vary for the varying mechanical properties such as tensile strength (TS), impact strength (IS), and hardness (HV) which in turn varies the welding conditions and parameters. Therefore, selection of optimal weld parameters plays an important role in enhancing the quality of weld joint. In this article, friction stir butt welds made of 6061 and 7075 Al alloys are performed with various welding parameters such as rotational speed of tool, angle of tilt, and axial force using tool has taper pin profile. Experiments are carried out on twentyseven joints that are made on 6061 and 7075 Al Alloy plates of 6.50 mm thick of same nature and tested for its tensile, impact and HV properties.
0

1011
1022


G. S. V.
Seshu Kumar
Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Andhra Pradesh, India
India
gsvseshukumar@gmail.com


Kumar
Anshuman
Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Andhra Pradesh, India
India
anshu.mit06@gmail.com


S
Rajesh
Department of Mechanical Engineering, Sagi Rama Krishnam Raju Engineering College, Bhimavaram, Andhra Pradesh, India
India
rajeshsiri.mech@gmail.com


Rama Bhadri
Raju Chekuri
Department of Mechanical Engineering, Sagi Rama Krishnam Raju Engineering College, Bhimavaram, Andhra Pradesh, India
Iran
chekurirbr@gmail.com


K.
Ramakotaiah
Department of Mechanical Engineering, KKR and KSR Institute of Technology and Sciences, Guntur, Andhra Pradesh, India
India
drprajk@gmail.com
Friction stir welding
6061 and 7075 Al alloys
Taguchi design approach
1

Solvability of infinite systems of fractional differential equations in the space of tempered sequence space $m^beta(phi)$
https://ijnaa.semnan.ac.ir/article_5638.html
10.22075/ijnaa.2021.23299.2515
1
The purpose of this article, is to establish the existence of solution of infinite systems of fractional differential equations in space of tempered sequence $m^beta(phi)$ by using techniques associated with Hausdorff measures of noncompactness. Finally, we provide an example to highlight and establish the importance of our main result.
0

1023
1034


Hamid
Mehravaran
Department of Mathematics, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Iran
hamid_mehravaran@mshdiau.ac.ir


Hojjatollah
Amiri Kayvanloo
Department of Mathematics, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Iran
amiri.hojjat93@mshdiau.ac.ir


Reza
Allahyari
Department of Mathematics, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Iran
rezaallahyari@mshdiau.ac.ir
Fractional differential equations
Hausdorff measure of noncompactness
MeirKeeler condensing operator
Space of tempered sequence
1

Numerical analysis of the wall impact in the peristaltic pumping of a casson liquid in an inclined canal
https://ijnaa.semnan.ac.ir/article_5640.html
10.22075/ijnaa.2021.24467.2750
1
Flow is considered in the moving frame of reference with constant velocity along the wave. The developed mathematical model is presented by a set of partial differential equations. A numerical algorithm based on finite element method is implemented to evaluate the numerical solution of the governing partial differential equations in the streamvorticity formulation.This paper is about the study of Numerical analysis of the peristaltic conveyance of a casson fluid in a skewed tube under the consideration of low Reynolds and long wavelength .The problem is discussed on the inclination angle and yield stress of a fluid are examined for different qualitative and quantitative effects on pressure and also the trapping bolus creation analyzed by changing various parameters, the equation of flux analyzed in a wave frame moving at wave speed. Expressions are derived for the frictional force, change in volume flow rate, rise and drop in pressure. The impact of frictional force on various parameters on the pumping characteristics and pressure flow curves discussed through graphs
0

1035
1047


Ramu
Katipelli
Assistant Professor, Department of Science and Humanities,
Siddhartha Institute of Technology and Sciences
Narapally, Hyderabad500088, Telangana
Iran
katipellir@gmail.com


SHVN
Krishna Kumari
Professor, Department of Mathematics
Koneru Lakshmaiah Education Foundation
R.V.S Nagar, Aziznagar Telangana 500075.
Iran
krishnagannamraju@gmail.com
Peristaltic pumping
Casson fluid
inclined channel
NonNewtonian fluid
trapping
frictional force
1

Performance analysis of multicast routing using multi agent zone based mechanism in MANET
https://ijnaa.semnan.ac.ir/article_5641.html
10.22075/ijnaa.2021.24657.2792
1
Mobile AdHoc Network (MANET) is a structure less and emerging technology in recent years. Generally, this structure forms a network with nodes with inherent characteristics, including resource heterogeneity, node reliability, etc. In this manuscript, we proposed a MultiAgentBased Zone Routing (MAZR) protocol for enhancing the performance of MANET. Our proposed MAZR is works based on the principle of packet forwarding through intermediate and zone leaders. It consists of multiple agents, which include static and dynamic mobile agents. The proposed implementation is done as follows: Initially discovering the zone leader’s .The discovered zone leaders are connected to the communication nodes. The communication nodes and zone leaders are associated for building the network backbones for achieving multicast routing .To the multicast, zone members are connected .The zone managements, backbone and highly mobile nodes are initiated. The proposed MAZR protocol comprises five types of agents: Path agent, Network control agent, Multicast control agent, Network launch agent, and Multicast control agents. The Path agent, Network control agent, and Multicast control agent are static, and Network launch agents and Multicast control agents are mobile. The future protocol's performance is determined using the experimental work based on the evaluation metrics like delay, power consumption, and network lifetime. The obtained results prove the future MAZR is far improved than the Zonebased Hierarchical Link Protocol and Zone Routing Protocol in all aspects and ensures flexibility with versatile multicast service.
0

1047
1055


S
Manthandi Periannasamy
Department of Electronics and Communication Engineering, Malla Reddy Engineering College for Women, Maisammaguda, Hyderabad 500100. Telangana
Iran
smpsamy5@gmail.com


N.C
Sendhilkumar
Department of Electronics and Communication Engineering
Sri Indu College of Engineering ; Technology
Sheriguda, Hyderabad, Telangana 501510
Iran
sendhilkumarnc@gmail.com


R
Arun Prasath
Department of Electronics and Communication Engineering, Siddhartha Institute of Technology and Sciences, Narapally, Hyderabad, Telangana 500088
Iran
prasath2k6@gmail.com


C
Senthilkumar
Department of Electronics and Communication Engineering, Saveetha School of Engineering, Chennai, Tamilnadu, India
Iran
senswain@gmail.com


S
Gopalakrishnan
Department of Electronics and Communication Engineering, Siddhartha Institute of Technology and Sciences, Narapally, Hyderabad, Telangana 500088
Iran
drsgk85@gmail.com


T
CHITRA
Department Of ECE, Christian College of Engineering ;Technology, Oddanchatram 624619, Tamilnadu
Iran
chitra18041987@gmail.com
Mobile Ad hoc Network (MANET)
Multicast routing
Zone protocols
Backbones
MultiAgentBased MultiHop Routing (MAMR) protocol
1

Solving second order ordinary differential equations by using Newton’s interpolation and Aitken’s methods
https://ijnaa.semnan.ac.ir/article_5643.html
10.22075/ijnaa.2021.24027.2657
1
In this paper, the methods called Newton’s interpolation and Aitken’s methods were developed and examined. We use Newton’s interpolation and Aitken’s methods to find the exact and analytic results for three different types of nonlinear ordinary differential equations (NLODEs) of first and second order through illustrative examples. By using the new method, we successfully handle some class of nonlinear ordinary differential equations of first and second order in a simple and elegant way compared to Newton’s and Lagrange methods in previous studies. One can conclude that Newton’s interpolation and Aitken’s methods are easy to yield and implement actual precise results.
0

1057
1066


Johnpaul
Mbagwu
Department of Physics, Faculty of Physical Science, Imo State University, Owerri, Nigeria.
Iran
mbagwujohnpaulchiagoziem@gmail.com


Cemil
Tunç
Department of Mathematics, Faculty of Sciences, Van Yuzuncu Yil University 65080, VanTurkey
Iran
mbagwujp@gmail.com


Chris
Enjoh
Group Research in Analytical Chemistry, Environment and Climate Change (GRACE&CC), Department of Chemistry, Faculty of Physical Science, Imo State University, Owerri, Nigeria
Iran
cenyoh@gmail.com


J.I.
Onwuemekaa
Department of Physics, Faculty of Physical Science, Imo State University, Owerri, Nigeria.
Iran
johnpaulphysicist@gmail.com
Ordinary differential equation
Newton’s interpolation method
Aitken’s method
1

Face and facial expression recognition using local directional feature structure
https://ijnaa.semnan.ac.ir/article_5648.html
10.22075/ijnaa.2022.5648
1
The face expression recognition is used in countless application areas for example security, computer vision and medical science etc. The facial expressions are used to communicate in a nonverbal way (i.e., using eye contact, facial expressions etc.). Emotions play an important role in facial expression recognition which helps to identify what an individual is feeling. Various AI research in the field of facial recognition system is being carried since a decade. Many of the machine learning algorithms are also being used to identify the facial expression which helps them to train and test using the facial expression to get a correct output of the given expression. This paper presents a new facial expression recognition system, local directional feature structure (LDFS). LDFS uses different features of the face (i.e., eyebrows, nose, mouth, eyes). The face is detected and aligned using the edge detection. The task of the edge detection is to detect the face, face alignment and position variations of the face. The edge detection extracts the specific features for the identification of the emotions. Two types of datasets have been used for the qualitative and quantitative experiments on the face expression mainly the CK+ and Jaffe dataset. This approach for our model shows an improvement when compared to the existing system.
0

1067
1079


Vidyarani
H J
Dept. of ISE, Dr. Ambedkar Institute of Technology, Bengaluru, India
Iran
hjvidyarani@gmail.com


Shrishail
Math
Dept. of CSE, Shri Krishna Institute of Technology, Bengaluru, India
Iran
shri_math@yahoo.com
1

The general implicitblock method with twopoints and extra derivatives for solving fifthorder ordinary differential equations
https://ijnaa.semnan.ac.ir/article_5650.html
10.22075/ijnaa.2022.5650
1
In this work, a general implicit block method (GIBM) with two points for solving general fifthorder initial value problems (IVPs) has been derived. GIBM is proposed by adopting the basis functions of Hermite interpolating polynomials. GIBM is presented to be suitable with the numerical solutions of fifthorder IVPs. Hence, the derivation of GIBM has been introduced. Numerical implementations compared with the existing numerical GRKM method are used to prove the accuracy and efficiency of the proposed GIBM method. The impressive numerical results of the test problems using the proposed GIBM method agree well with the approximated solutions of them using the existing GRKM method.
0

1081
1097


Mohammed
Turki
Department of Mathematics, College of Education for Pure Sciences,
University of Anbar, Iraq
Iran
moh9883@yahoo.com


Shaymaa
Alku
Department of Mathematics, College of Computer Science and Mathematics, University of
Kufa, Najaf, Iraq
Iran
shaymaa.yaseen@uokufa.edu.iq


Mohammed
Mechee
Information Technology Research and Development Center (ITRDC), University of Kufa, Najaf, Iraq
Iran
mohammeds.abed@uokufa.edu.iq
Implicit numerical method
ODEs
IVPs
Block method
Order
RKM
GRKM
Fifthorder
Ordinary differential equations
1

Classes of certain analytic functions defining by subordinations
https://ijnaa.semnan.ac.ir/article_5651.html
10.22075/ijnaa.2017.10857.1528
1
There are many results for analytic functions in the open unit disk U concerning subordination. Two subclasses of analytic functions in U are introduced using subordinations in U. The object of the present paper is to discuss some properties of functions belonging to these two subclasses.
0

1099
1103


Mugur
Acu
Department of Mathematics and Informatics, Faculty of Sciences, "Lucian Blaga" University, Str. Dr. I. Rad{t}iu, No. 57, 550012  Sibiu, Romania
Iran
acumugur@yahoo.com


Shigeyoshi
Owa
Department of Mathematics, Faculty of Education, Yamato University, Katayama 251, Suita, Osaka 5640082, Japan
Iran
owa.shigeyoshi@yamatou.ac.jp


Radu
Diaconu
Department of Mathematics and Informatics, Faculty of Sciences, "Lucian Blaga" University, Str. Dr. I. Rad{t}iu, No. 57, 550012  Sibiu, Romania
Iran
radudyaconu@yahoo.com
Analytic function
subordination
coecient inequality
1

Some of the sufficient conditions to get the GBishadowing action
https://ijnaa.semnan.ac.ir/article_5652.html
10.22075/ijnaa.2022.5652
1
The aim of this paper is introduced some examples of a (mathbb{G})bishadowing actions on the metric (mathbb{G})space, by study a sufficient conditions of actions to be (mathbb{G})bishadowing. We show the (mathbb{G})(lambda)Contraction actions, (mathbb{G})(left( lambda,L right))textbf{}Contraction action, and (mathbb{G})HardyRogers contraction action are (mathbb{G})bishadowing by proved some theorems.
0

1105
1112


Mohammed Hussein
Ajam
Department of Mathematics, Collage of Education for Pure Science, University of Babylon, Babylon, Iraq
Iran
mohammed_ajam@science.uoqasim.edu.iq


Iftichar Mudhar
AlSharaa
Department of Mathematics, Collage of Education for Pure Science, University of Babylon, Babylon, Iraq
Iraq
ifticharalshraa@gmail.com
Gspace
GBiShadowing
Sufficient Conditions
GContraction
1

Developing bulk arrival queuing models with the constant batch policy under uncertainty data using (0  1) variables
https://ijnaa.semnan.ac.ir/article_5653.html
10.22075/ijnaa.2022.5653
1
This paper delves into some significant performance measures (PMs) of a bulk arrival queueing system with constant batch size b, according to arrival rates and service rates being fuzzy parameters. The bulk arrival queuing system deals with observation arrival into the queuing system as a constant group size before allowing individual customers entering to the service. This leads to obtaining a new tool with the aid of generating function methods. The corresponding traditional bulk queueing system model is more convenient under an uncertain environment. The $alpha$cut approach is applied with the conventional Zadeh's extension principle (ZEP) to transform the triangular membership functions (Mem. Fs) fuzzy queues into a family of conventional bulkqueues. This new model focus on mixedinteger nonlinear programming (MINLP) tenders a mathematical computational approach is known as (0 1) variables. To measures the efficiency of the method, the efficient solution strategy plays a crucial role in the adequate application of these techniques. Furthermore, different stages of the $alpha$cut intervals were analyzed and the final part of the article gives a numerical solution of the proposed model to achieve practical issues.
0

1113
1121


Zeina
Mueen
Department of Studies and Planning Department, University of Baghdad, Baghdad, Iraq
Iran
zeina.m@uobaghdad.edu.iq
Constant batch size
Uncertainty data
Mixedinteger
Nonlinear programming (0  1) variables
1

Twofold of algebraic decomposition method used for a watermarking scheme with $LWT$ over medical images
https://ijnaa.semnan.ac.ir/article_5655.html
10.22075/ijnaa.2022.5655
1
Mathematics has always been of great importance in various sciences, especially computer science. The mechanism used to embed various types of information in a host medical images to safeguard the privacy of the patient including the patient's name, doctor's digital signature is called watermarking. There are a lot of improved watermark algorithms, however, this information is susceptible to attack when the data are transferred over universal internet channels. This paper proposed a robust watermark algorithm that uses a Lifting Wavelet Transform $(LWT)$ and two times of the Hessenberg Matrix Decomposition Method $(HMDM)$ to embed a watermark in a chosen channel of the host image after performing the transform. The experimental results demonstrate that the improvement appears (higher robustness against $JPEG$ compression attack) and good imperceptibility against some attacks, to evaluate the fineness of the original with watermarked images and the extracted watermark respectively.
0

1123
1129


Areej
Abduldaim
University of Technology, Department of Applied Sciences, Baghdad 10001, Iraq
Iran
100044@uotechnology.edu.iq


Anwar
Faraj
applied science department, university of technology, Baghdad, Iraq
Iran
100290@uotechnology.edu.iq
Hessenberg Matrix Decomposition Method (HMDM)
Lifting Wavelet Transform (LWT)
Image Watermarking
1

Caputo definition for finding fractional moments of power law distribution functions
https://ijnaa.semnan.ac.ir/article_5656.html
10.22075/ijnaa.2022.5656
1
In this paper, we propose a modern technique to derive fractional moment by using Caputo definition of fractional derivative. Such technique represents a modification of fractional moments on a certain type of function which is known by the power law distribution functions. The results have been obtained show that the obtained fractional moments within such functions have closed form.
0

1131
1136


Rifaat
AbdulJabbar
Department of Mathematics, College of Science, University of Anbar, Iraq
Iran
drrifaat1974@uoanbar.edu.iq
Fractional moment
Caputo definition
Power law distribution functions
Fourier Transform
1

Generalized modified ratiocumproduct kind exponentially estimator of the populations mean in stratified ranked set sample
https://ijnaa.semnan.ac.ir/article_5657.html
10.22075/ijnaa.2022.5657
1
In this study, we present a proposal aimed at estimating the finite population's mean of the main variable by stratification rank set sample (S_{t}text{RSS}) through the modification made to generalized ratiocumproduct type exponential estimator. The relative bias (text{PRB}), Mean Squared Error (text{Mse}) and percentage relative efficiencies (text{PRE}) of the proposed modified estimator is obtained to the first degree of approximation. Conditions under which the proposed estimator is more efficient than the usual unbiased estimator, ratio, product type estimators, and some other estimators are obtained. Finally, the estimators' abilities are evaluated through the use of simulations, as showed that the proposed modified estimator is more efficient as compared to several other estimators.
0

1137
1149


Rikan
Ahmed
Department of Statistics and Informatics, Mosul University, Iraq
Iran
rikan.al_rahman1101@coadec.uobaghdad.edu.iq


Saja
Hussein
Department of Statistics, Baghdad University, Baghdad, Iraq
Iran
saja@coadec.uobaghdad.edu.iq
Relative Bias
Mean Square Error
Percentage Relative Efficiency
Stratified ranked set sampling
ratiocumproduct type exponential estimator
1

The emergence of logic in mathematics and its influence on learners' cognition and way of thinking
https://ijnaa.semnan.ac.ir/article_5658.html
10.22075/ijnaa.2022.5658
1
This article sheds light on the single phrase, logical thinking, which came to be understood in so many diverse ways. To assist explain the many distinct meanings, how they arose, and how they are connected, we trace the emergence and evolution of logical thinking in mathematics. This article is also, to some extent, a description of a movement that arose outside of philosophy's mainstream, and whose beginnings lay in a desire to make logic practical and an essential part of learners' lives.
0

1151
1160


Eman
Almuhur
Department of Basic Science and Humanities, Faculty of Arts and Science, Applied Science Private University, Amman, Jordan
Iran
e_almuhur@asu.edu.jo


Manal
AlLabadi
Department of Mathematics, Faculty of Arts and Sciences, University of Petra, Amman, Jordan
Iran
manal.allabadi@uop.edu.jo
Logical thinking
Thinking
cognition
paradox
1

On proximally closed mapping
https://ijnaa.semnan.ac.ir/article_5659.html
10.22075/ijnaa.2022.5659
1
In this paper, we introduce the concept of proximally closed (or $delta$ closed) in the proximity spaces and study some of its properties.
0

1161
1166


Saad
Jaber
Department of Mathematics, College of Education for Pure Science, University of Wasit, Wasit, Iraq
Iran
s.jaber@uowasit.edu.iq


Marwah
Mohsin
Department of Mathematics, DirectorateGeneral of Education of Wasit, Wasit, Iraq
Iran
marwayasir91@gmail.com
proximity space
proximally continuous mapping
(delta)continuous
proximally isomorphic
$delta$ homeomorphism
1

Sparse minimum average variance estimation through signal extraction approach to multivariate regression
https://ijnaa.semnan.ac.ir/article_5660.html
10.22075/ijnaa.2022.5660
1
In this paper, a new sparse method called (MAVESiER) is proposed, to introduce MAVESiER, we combined the effective sufficient dimension reduction method MAVE with the sparse method Signal extraction approach to multivariate regression (SiER). MAVESiER has the benefit of expanding the Signal extraction method to multivariate regression (SiER) to nonlinear and multidimensional regression. MAVESiER also allows MAVE to deal with problems which the predictors are highly correlated. MAVESiER may estimate dimensions exhaustively while concurrently choosing useful variables. Simulation studies confirmed MAVESiER performance.
0

1167
1173


Abdulqader
Ahmed
Department of Statistics, College of Administration and Economics, University of Baghdad, Baghdad, Iraq
Iran
abdulqaderahmed79@gmail.com


Saja
Mohammad
Department of Statistics, College of Administration and Economics, University of Baghdad, Baghdad, Iraq
Iran
zina.k.alabacy@uotechnology.edu.iq
High dimensional predictors
Dimension reduction
sparse
Minimum average variance estimation
Signal extraction approach to multivariate regression
1

New bound for edge spectral radius and edge energy of graphs
https://ijnaa.semnan.ac.ir/article_5661.html
10.22075/ijnaa.2021.23361.2523
1
Let $ X(V,E) $ be a simple graph with $ n $ vertices and $ m $ edges without isolated vertices. Denote by $ B = (b_{ij})_{mtimes m} $ the edge adjacency matrix of $ X $. Eigenvalues of the matrix $ B $, $mu_1, mu_2, cdots, mu_m $, are the edge spectrum of the graph $ X $. An important edge spectrumbased invariant is the graph energy, defined as $ E_e(X) =sum_{i=1}^{m} vert mu_i vert $. Suppose $ B^{'} $ be an edge subset of $ E(X) $ (set of edges of $ X $). For any $ e in B^{'} $ the degree of the edge $ e_i $ with respect to the subset $ B^{'} $ is defined as the number of edges in $ B^{'} $ that are adjacent to $ e_i $. We call it as $ varepsilon $degree and is denoted by $ varepsilon_i $. Denote $ mu_1(X) $ as the largest eigenvalue of the graph $ X $ and $ s_i $ as the sum of $ varepsilon $degree of edges that are adjacent to $ e_i $. In this paper, we give lower bounds of $ mu_1(X) $ and $ mu_1^{D^{'}}(X) $ in terms of $ varepsilon $degree. Consequently, some existing bounds on the graph invariants $ E_e(X) $ are improved.
0

1175
1181


Saeed
Mohammadian Semnani
Department of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran.
Iran
s_mohammadian@semnan.ac.ir


Samira
Sabeti
Department of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran.
Iran
sabeti.samira@semnan.ac.ir
εdegree
adjacency matrix
spectral radius
dominating set
graph energy
bound of energy
1

CFD Analysis of piston bowls geometry for CI direct injection engine using finite element analysis
https://ijnaa.semnan.ac.ir/article_5664.html
10.22075/ijnaa.2021.24710.2801
1
Both NOx and soot emissions are major concerns in compression ignition (CI) engine with diesel fuel and the enhancement of variety of fuel and air can increase the performance of combustion engine. There are several methods to enhance the variety of airfuel within the cylinder. Altering the geometry of piston bowl is one of the methods to improve the airfuel mixture. This article proposes the effect of piston bowl geometry on the direct injection diesel engine performance and emissions, where various profiles of piston bowl referred as hemispherical combustion chamber (HCC), toroidal combustion chamber (TCC) and shallow depth combustion chamber (SCC) are designed using computer aided design and drafting (CADD) tool and ANSYS workbench is adopted for analysis. In addition, Karanja oil mixed with base fluid diesel at different volume fractions like0.2%, 0.3% and 0.4% and are calculated for their combination properties. Further, theoretical calculations are considered to determine the properties of Nano fluids which are later used as inputs for the analysis. Finally, CFD analysis is employed on different geometries at different fluid volume fractions and thermal analysis is done for piston bowl geometries with different composite materials like carbon fiber and armide fiber.
0

1193
1207


Potturi S Prakash
Varma
Department of Mechanical Engineering
Andhra University College of Engineering (A), Visakhapatnam, Andhra Pradesh, India.
Iran
sprakashvarma91@gmail.com


K
Venkata Subbaiah
Department of Mechanical Engineering
Andhra University College of Engineering (A), Visakhapatnam, Andhra Pradesh, India.
Iran
potturispvarma@gmail.com
Compression Ignition Engine
Direct Injection Engine
Piston Bowl Geometry
CFD analysis
Finite element analysis
1

Transfer learning based deep convolutional neural network model for pavement crack detection from images
https://ijnaa.semnan.ac.ir/article_5672.html
10.22075/ijnaa.2021.24521.2762
1
The road is a path that supports to connect different places. It plays a crucial role in our daytoday life. Improper maintenance, overloading, climate conditions, and some other elements create distress on the roads. The common distresses are Potholes, cracking, and rutting. Manually detecting the distresses means human inspection is a messy and long timeconsuming process. In recent past accidents on road is on the increase due to improper maintenance of road. Efficient methods of detecting pavement damages using image processing, machine learning and deep learning techniques have been a trending research topic. Image processing algorithms mainly include edge detection, region growing methods, and threshold segmentation operations for processing the pavement images and extracting crack information from the images. Machine learning methods of pavement crack detection adapts neural networks, supervised and unsupervised learning algorithms with pavement crack image as input. With Deep learning techniques, it has been possible to detect pavement cracks with greater accuracy. In this paper, we review the deep learning methods of pavement crack detection and propose a novel method to detect pavement cracks using Deep Learning with transfer learning. We also analyzed the performance of the proposed model for different network architectures namely, Google net, Alexnet and Resent and inferred that Google net gives better performance in detecting pavement cracks.
0

1209
1223


S.
Jana
Department of Electronics and Communication Engineering, Veltech Rangarajan Dr Sagunthala R &D Institute of Science and Technology, Chennai. Tamil Nadu600062
Iran
drjanaphd@gmail.com


S.
Thangam
Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru campus, Amrita Vishwa Vidyapeetham, India
Iran
s_thangam@blr.amrita.edu


Anem
Kishore
Department of Electronics and Communication Engineering, Veltech Rangarajan Dr Sagunthala R &D Institute of Science and Technology, Chennai. Tamil Nadu600062
Iran
sntkishore@gmail.com


Venkata
Sai Kumar
Department of Electronics and Communication Engineering, Veltech Rangarajan Dr Sagunthala R &D Institute of Science and Technology, Chennai. Tamil Nadu600062
Iran
sai663366@gmail.com


Saddapalli
Vandana
Department of Electronics and Communication Engineering, Veltech Rangarajan Dr Sagunthala R &D Institute of Science and Technology, Chennai. Tamil Nadu600062
Iran
vandanasaddapalli2000@gmail.com
Pavement crack
Deep learning
machine learning
Crack Detection
1

Hybrid deep learning framework for human activity recognition
https://ijnaa.semnan.ac.ir/article_5673.html
10.22075/ijnaa.2022.5673
1
The aim of the recognition in the human activity is to recognize the actions of the individuals using a set of observations and their environmental conditions. Since last two decades, the research on this Human Activity Recognition (HAR) has captured the attention of several computer science communities because of the strength to provide support to different applications and the connection to different fields of study such as, humancomputer interaction, healthcare, monitoring, entertainment and education. There are many existing methods like deep learning which have been used to develop to recognize the different activities of the human, but couldn’t identify the sudden change of the activities in the human. This paper presents a method using the deep learning methods which can recognize the specific identities and identify a change from one activity to another for the applications of the healthcare. In this method, a deep convolutional neural network is built using which the features are extracted for the collection of the data from the sensors. After which the Gated Recurrent Unit (GRU) captures the longtern dependency between the different actions which helps to improve the identification rate of the HAR. From the CNN and GRU, a model of wearable sensor can be proposed which can identify the changes of the activities and can accurately recognize these activities. Experiment have been conducted using opensource University of California (UCI) HAR dataset which composed of six different activity such as lying, standing, sitting, walking downstairs, walking upstairs and walking. The CNNbased model achieves a detection accuracy of 95.99% whereas the CNNGRU model achieves a detection accuracy of 96.79% which is better than most existing HAR methods.
0

1225
1237


S
Pushpalatha
Research Scholar, Dept. of ISE, Dr. Ambedkar Institute of Technology, Bengaluru, India
Iran
pushpalat043@gmail.co


Shrishail
Math
Dept. of CSE, Shri Krishna Institute of Technology, Bengaluru, India
Iran
shri_math@yahoo.com
Deep learning
Convolutional Neural Networks
Activity recognition
Gated recurrent unit
1

Analysis of performance of accuracy by adding new features individually using ReliefF and Budget Tree Random Forest (RFBTRF) method
https://ijnaa.semnan.ac.ir/article_5674.html
10.22075/ijnaa.2021.24724.2808
1
The education is very important for improving the values of students in the society. Different types of features like school related features, student related features, parent related features and teacher related features are influencing the success rate of students in their education. Identification of best features from the huge set of features for analyzing the success or failure of a student is one important challenge to the research community and academicians. The set of features information is collected for preparing the student dataset also one difficult task in the prediction of student academic performance. We collected a student dataset of different schools that contains 4965 student’s information. The dataset contains information of 45 features of different categories such as school related features, student related features, parent related features and teacher related features. All features are not useful for predicting the academic performance of a student. The Data mining methods are applied in various research domains including education to extract hidden information from datasets. The feature selection algorithms are used to determine the best informative features by eliminating the irrelevant and redundant features. In this work, ReliefF Budget Tree Random Forest feature selection algorithm is used to identify the relevant features in the collected school dataset. Five different machine learning models are used to predict the efficiency of feature selection algorithm. The decision tree model shows best accuracy for student academic performance prediction compared with other models. The experimental results display that the RFBTRF algorithm identifies the best informative features for enhancing the accuracy of student academic performance prediction and also reduces the overfitting issues. The experiment started with individual features and then continued with combination of different categories of features. It was observed that the accuracy of student academic performance prediction is decreased when some categories of features are added to other categories of features.
0

1239
1252


K
Deepika
Department of Information Technology, Kakatiya Institute of technology and science, Warangal 506015, Telangana
Iran
deepika.srimanu@gmail.com


M
Sowjanya Reddy
Department of Computer Science and Engineering,
Siddhartha Institute of Technology and Sciences, Narapally, Hyderabad, Telangana 500088
Iran
souji.vj1@gmail.com


N
Rajesh Pandian
Department of Computer Science and Engineering, PSNA College of Engineering and Technology Kothandaraman Nagar, Dindigul624622 TamilNadu, India.
Iran
nrajeshpandian@gmail.com


R.
Dinesh Kumar
Department of Computer Science and Engineering, Siddhartha Institute of Technology and Sciences, Narapally, Hyderabad, Telangana 500088
Iran
me.dineshkumar@gmail.com
Student Academic Performance Prediction
Machine Learning Models
Educational Data Mining
Feature Selection Algorithms
1

A call reservation scheme for channel allocation using predication approach (CAPA) in wireless networks
https://ijnaa.semnan.ac.ir/article_5676.html
10.22075/ijnaa.2021.24719.2807
1
The uncommitted bandwidth of the spectrum must be expeditiously employed by the mobile users, since nowadays the mobile users are rising step by step. The major aim of the channel reservation process is to minimize the probability of call dropping and an effective channel assignment approach can significantly minimize such probability of call dropping. There is several channel allocation and assignment approaches has been presented. In our paper, the Channel Allocation using Prediction Approach (CAPA) algorithm is presented. The CAPA algorithm appropriates the channel reservation for mobile users in the destination cell before the mobile user travels into that particular cell. The channels are prereserved while the mobile users are travelling inside some distance of the novel cell bound. Channel Adoption approach and Queuing approach are employed in our CAPA algorithm for apportioning the channel to predict permanent and temporary mobile users. In channel Adoption approach, free channels choose from the fundamental pool and optimally apportioned to permanent user. For temporary user, queuing approach is implemented and these approaches are employed to minimize the probability of call dropping and apply the available channel bandwidth efficiently. Hence, the Performance of CAPA algorithm is improved while compared to other existing channel reservation algorithms.
0

1253
1267


G
Vidoda Reddy
Department of Computer Science and Engineering(AI&ML), CMR Technical Campus, Kandlakoya, Medchal (M) Hyderabad, Telangana501401
Iran
vinodareddy.cse@cmrtc.ac.in


P. Jesu
Jayarin
Department of Information Technology , Jeppiaar Engineering College,Chennai 600 119.
Iran
jjayarin@gmail.com


K.
Nandhini
Department of Electronics and Communication Engineering, Veltech Rangarajan Dr Sagunthala R & D Institute of Science and Technology, Avadi, Chennai600062
Iran
nandhinikrishnan09@gmail.com


G.
Sheeba
Department of Electronics and Communication Engineering, New Prince Shri Bhavani College of Eng and Technology Chennai 600073,Tamil Nadu.
Iran
sheebaj216@gmail.com


G
Dhanalakshmi
Department of Electronics and Communication Engineering, Siddhartha Institute of Technology and Sciences, Narapally, Hyderabad, Telangana 500088
Iran
dhanarjun@gmail.com
Channel Allocation
Qos
CAPA
Call Management
Call Dropping
1

The accrual anomaly analysis at different stages of the corporate life cycle of companies listed on the Tehran stock exchange
https://ijnaa.semnan.ac.ir/article_5677.html
10.22075/ijnaa.2022.5677
1
Financial theorists believe that low accruals firms have higher returns compared to those with high accruals calling this relationship an accruals anomaly. Since the introduction of this concept, various studies have examined the factors causing accruals anomalies and their impact on corporate revenues. The current paper aims at investigating the impact of accruals anomalies on corporate profitability as well as the role of the corporate life cycle. Thus, the data was collected using 109 companies listed on the Tehran Stock Exchange data during the period 2012 to 2018. Then, the relationships were examined using regression modelling with a panel approach. The results indicate that there is no significant impact of life cycle on the relationship between accrual anomalies and profitability.
0

1269
1278


Mustafa
Ostad
Department of Accounting, Faculty of Economics and Accounting, Islamic Azad University, Isfahan Branch (Khorasgan), Iran
Iran
oustad2013@gmail.com


Mohsen
Dastgir
Department of Accounting, Faculty of Economics and Accounting, Islamic Azad University, Isfahan Branch (Khorasgan), Iran
Iran
dastmw@yahoo.com


Shukrollah
Khajavi
Department of Accounting, Faculty of Economics, Management and Social Sciences, Shiraz University, Shiraz, Iran
Iran
shkhajavi@gmail.com
Accruals Anomaly
Life Cycle
Stock returns
1

$ omega $$ alpha $open sets $ omega $$ alpha $continuity in bitopological spaces
https://ijnaa.semnan.ac.ir/article_5678.html
10.22075/ijnaa.2020.21599.2279
1
The purposes of this article are to introduce and characterize the notions of $ (i,j) $$ omega $$ alpha $open sets in bitopological spaces. Besides, It introduces and studies the concepts of $ (i,j) $$ omega $$ alpha $continuous functions. Furthermore, $ (i,j) $$ omega $$ alpha $connected and $ (i,j) $$ omega $$ alpha $setconnected functions are defined in bitopological spaces and some of their properties are studied.
0

1279
1289


Carlos
Granados
Estudiante de Doctorado en Matematicas, Universidad de Antioquia, Medellin, Colombia
Iran
carlosgranadosortiz@outlook.es
j) $$ alpha $$ omega $open sets
j) $$ omega $$ alpha $continuous function
j) $$ omega $$ alpha $connected
$ (i
j) $$ omega $$ alpha $setconnected function
1

Comparison between Sinc approximation and differential transform methods for nonlinear Hammerstein integral equations
https://ijnaa.semnan.ac.ir/article_5679.html
10.22075/ijnaa.2020.19923.2111
1
Here, the comparison between Sinc method in combination with double exponential transformations (DE) and approximation by means of differential transform method (DTM) for nonlinear Hammerstein integral equations is considered. Convergence analysis is presented. Detection of effectiveness from various aspects such as run time, different norms, condition number are highlighted and plotted graphically. Results of two schemes are practically well, but in manner of separable kernel, DTM solution is more accurate and so fast.
0

1291
1301


Ghasem
Kazemi Gelian
Department of Mathematics, Shirvan Branch, Islamic Azad University, Shirvan, Iran
Iran
kazemigelian@yahoo.com


Rezvan
Ghoochan Shirvani
Department of Mathematics, Shirvan Branch, Islamic Azad University, Shirvan, Iran
Iran
re_ghoochani@yahoo.com


Mohammad Ali
Fariborzi Araghi
Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Zip code 1467686831, Iran
Iran
fariborzi.araghi@gmail.com
Volterra integral equations
Sinc collocation method
double exponential transformation
Differential transform method
1

A comparative study of two types of substrates in the manufacture of Schottky diode: pSi and n Si
https://ijnaa.semnan.ac.ir/article_5680.html
10.22075/ijnaa.2022.5680
1
This paper includes description of fabrication and characterization of two Schottky diodes differ in substrate material (ntype and ptype black Silicon). Schottky diodes were composed of (Ag /BSi/nSi/Al and Ag/BSi/pSi/ Al) respectively. Etching was achieved both electrochemical and photoelectrochemical etching processes. Different etching times and etching current densities were applied. Ag for front contact and Al for back contact were deposited by thermal evaporation method. IV characteristics were plotted for the diode in dark forward and backward biasing at room temperature. The ideality factor and barrier height values were obtained. The barrier height values was(0,330,36) eV and the saturation current values (6,867,05) for the diode samples were obtained from the currentvoltage (IV) curves , The ideality factor (textit{n})textbf{ } values was(27.4735.61), Schottky diodes at the Ag/BS or the dual metalsemiconductor junctions (Ag/BS/cSi and c Si/Al), of a diode ideally exhibit Ohmic features).
0

1303
1310


Hussam
Muhsin Hwail
Department of Physics, University of Kufa, Najaf,Iraq.
Iran
ank.gabor@yahoo.com


Manal
Midhat
Department of Physics, University of Baghdad, AlJadria, Baghdad, Iraq.
Iran
mathematics
Black Silicon
schottky diode
Electrochemical Etching
photoelectrochemical etching
Ideality Factor
Schottky barrier
1

$H(.,.,.,.)$$varphi$$eta$cocoercive Operator with an Application to Variational Inclusions
https://ijnaa.semnan.ac.ir/article_5693.html
10.22075/ijnaa.2021.23245.2506
1
In this work, we study generalized $ H(.,.,.,.)$$varphi$$eta$ cocoercive operator to find the solution of variational like inclusion involving an infinite family of setvalued mappings in semiinner product spaces via resolvent equation approach. Furthermore, we established an equivalence between the setvalued variationallike inclusion problem and fixed point problem by employing generalized resolvent operator technique involving generalized $H(.,.,.,.)$$varphi$$eta$cocoercive operator. Using the equivalent formulation of setvalued variationallike inclusion problem and resolvent equation problem, an iterative algorithm is developed that approximate the uniqueness of solution of the resolvent equation problem.
0

1311
1327


Tirth
Ram
Department of Mathematics, University of Jammu, Jammu180006, India
Iran
tir1ram2@yahoo.com


Mohd
Iqbal
Department of Mathematics, University of Jammu, Jammu180006, India
Iran
iqbalmohd486@gmail.com
Variationallike inclusions
cocorecive operator
Semiinner product spaces
Resolvent operator
Lipschitz continuity
1

Multiclass LDA classifier and CNN feature extraction for student performance analysis during Covid19 pandemic
https://ijnaa.semnan.ac.ir/article_5710.html
10.22075/ijnaa.2022.5710
1
In our modern world, education is essential for developing high moral values and excellence in individuals. But the spread of Covid19 widely affects the student’s education, the majority of students have continued their education via online learning platforms. The academic performance of students has been sluggish across the globe during this pandemic. This problem is solved using a multiclass Linear Discriminant Analysis (LDA) and Convolutional Neural Network (CNN) model which predicts the student learning rate and behavior. This research aims to classify the students’ performance into low, medium, and high grades in order to assist tutors in predicting the lowranking students. The student data log is collected from the Kaggle student performance analysis dataset and preprocessed to remove the noise and nonredundance data. By analyzing the preprocessed data, the CNN extracts feature that are based on student interest and subjective pattern sequences. Then extracted features are filtered by the Minimum Redundancy Maximum Relevance(mRMR) method. mRMR selects the best features and dilutes the least one which handles each feature separately. The feature weights are measured by Stochastic Gradient Descent (SGD) and updated for better feature learning by CNN. At the last stage, the Multiclass LDA classifier evaluates the result into categorized classes. Based on the prediction, the tutors can easily find the low ranks of students who need a high preference for improving their academic performance. Experiments showed that the proposed model achieves greater accuracy (96.5%), precision (094), recall (092), Fscore (095), and requires less computation time than existing methods.
0

1329
1339


Rasheed
Ali S
Department of computer Science, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India
Iran
srasheedmansoor@gmail.com


S
Perumal
Department of computer Science, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India
Iran
perumal.scs@velsuniv.ac.in
Multiclass LDA
CNN
mRMR
SGD
subjective pattern sequence
1

Study of pressure applied to blood vessels using a mathematical model
https://ijnaa.semnan.ac.ir/article_5711.html
10.22075/ijnaa.2022.5711
1
In this paper we present a dynamic model of the heart’s pumping blood. To predict blood flow and pressure applied to the area of blood vessels (arteries  veins  capillaries). The fluid dynamics model is derived from the continuum equation and the NavierStokes equations. For an incompressible Newton flow through a network of cylindrical vessels. This paper combined a model of pressure applied to the walls of blood vessels with a (regular  turbulent) flow model of blood, and the viscoelastic deformation of the walls (arteries  veins  capillaries) was studied with different blood density and prediction of the effect of the thickness of the rubber wall on the flow and the resulting pressure on the blood vessels. The results of this study show that the viscous elastic wall of the blood vessels allows more physiological prediction of pressure and vascular deformation, and that blood flow with varying intensity is more in the aorta than in the rest of the vessels, and this is subject to wide dilation.
0

1341
1350


Enas
Abdullah
Department of Mathematic, Faculty of Education, Kufa University, Iraq
Iran
inasy.abdullah@uokufa.edu.iq
Mathematical model
elastic fiber
viscosity of blood
1

Detection of COVID19 from radiology modalities and identification of prognosis patterns
https://ijnaa.semnan.ac.ir/article_5713.html
10.22075/ijnaa.2022.5713
1
SARSCoV2 and the consequential COVID19 virus is one of the major concerns of the 21st century. Pertaining to the novelty of the disease, it became necessary to discover the efficacy of deep learning techniques in the quick and consistent discovery of COVID19 based on chest Xray and CT scan image analysis. In this related work, Prognostic tool using regression was designed for patients with COVID19 and recognizing prediction patterns to make available important prognostic information on mortality or severity in COVID19 patients. And reliable convolutional neural network (CNN) architecture models (DenseNet, VGG16, ResNet, Inception Net)to institute whether it would work preeminent in terms of accuracy as well as efficiency with image datasets with Transfer Learning. CNN with Transfer Learning were functional to accomplish the involuntary recognition of COVID19 from numerary chest Xray and CT scan images. The experimental results emphasize that selected models, which is formerly broadly tuned through suitable parameters, executes in extensive levels of COVID19 discovery against pneumonia or normal or lung opacity through the precision of up to 87% for XRay and 91% intended for CT scans.
0

1351
1365


G
JayaLakshmi
Department of IT, V R Siddhartha Engineering College, India
Iran
jaya1123@vrsiddhartha.ac.in


Haitham
Khalaf
College of Medicine, University of Anbar, Ramadi, Iraq
Iran
med.haitham.alakidi@uoanbar.edu.iq


Abolfazl
Farhadi
Department of Nursing Sciences, Shirvan Branch, Islamic Azad University, Shirvan, Iran
Iran
farhadie_1967@yahoo.com


Shokhan
Al Barzinji
Department of Computer Science, College of Computer Science and Information Technology, University of Anbar, Ramadi, Iraq
Iran
shokhan.albarzinji@uoanbar.edu.iq


Sawsan
Mahmood
Department of Electricity Engineering College of Engineering, University of Tikrit, Tikrit, Iraq
Iran
sawsan.d.mahmood@tu.edu.iq


Saif Aldin
Najim
Department of Computer Science, College of Computer Science and Information Technology, University of Anbar, Ramadi, Iraq
Iran
saifaddin.r@uoanbar.edu.iq


Maha
Hutaihit
Department of Communication Engineering Collage of Engineering, University of Diyala: Baqubah, Diyala, Iraq
Iran
mahaabbashutaihit@uodiyala.edu.iq


Salwa
Nejrs
Directorate of Private University Education, Ministry of Higher Education, Baghdad, Iraq
Iran
salwamn@uomisan.edu.iq


Raghda
Al Mahdawi
Department of Computer Engineering Collage of Engineering, University of Diyala: Baqubah, Diyala, Iraq
Iran
raghdasalam@uodiyala.edu.iq


Azmi
Abdulbaqi
Department of Computer Science, College of Computer Science and Information Technology, University of Anbar, Ramadi, Iraq
Iran
azmi_msc@uoanbar.edu.iq
Convolutional Neural Network
Transfer learning
COVID19
Xray
CTscan
Deep learning
1

Sentiment analysis for covid19 in Indonesia on Twitter with TFIDF featured extraction and stochastic gradient descent
https://ijnaa.semnan.ac.ir/article_5743.html
10.22075/ijnaa.2021.5735
1
Twitter is an information platform that can be used by any internet user. The opinions of the Twitter Netizens are still random or unclassified. The technique for classifying sentiment analysis requires an algorithm. One of the classification algorithms is Stochastic Gradient Descent (SGD). The more training data provided to the machine, the accuracy of the classification function model formed by the machine is also higher. But in making representations into numerical vectors, the dimensions of data become large due to the many features. Feature optimization needs to be done to the training data by reducing the dimensions of the training data while maintaining high model accuracy. The optimization feature used is the TFIDF (term frequencyinverse document frequency) feature extraction. sentiment analysis using TFIDF feature extraction and stochastic gradient descent algorithm can classify Indonesian text appropriately according to positive and negative sentiment. Classification Performance using TFIDF feature extraction and stochastic gradient descent algorithm obtained an accuracy is 85.141%.
0

1367
1373


Vindi
Antonio
Department of Master in Informatic Engineering, Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan, Indonesia
Iran
vindi.antonio@usu.ac.id


Syahril
Efendi
Department of Master in Informatic Engineering, Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan, Indonesia
Iran
syahril1@usu.ac.id


Herman
Mawengkang
Department of Master in Informatic Engineering, Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan, Indonesia
Iran
mawengkang@usu.ac.id
COVID19
Twitter
Featured Extraction
Stochastic Gradient Descent
1

Semiparametric regression function estimation for environmental pollution with measurement error using artificial flower pollination algorithm
https://ijnaa.semnan.ac.ir/article_5744.html
10.22075/ijnaa.2022.5744
1
Artificial Intelligence Algorithms have been used in recent years in many scientific fields. We suggest employing flower pollination algorithm in the environmental field to find the best estimate of the semiparametric regression function with measurement errors in the explanatory variables and the dependent variable, where measurement errors appear frequently in fields such as chemistry, biological sciences, medicine, and epidemiological studies, rather than an exact measurement. We estimate the regression function of the semiparametric model by estimating the parametric model and estimating the nonparametric model, the parametric model is estimated by using an instrumental variables method (Wald method, Bartlett's method, and Durbin's method), The nonparametric model is estimated by using kernel smoothing (Nadaraya Watson), KNearest Neighbor smoothing and Median smoothing. The Flower Pollination algorithms were employed and structured in building the ecological model and estimating the semiparametric regression function with measurement errors in the explanatory and dependent variables, then compare the models to choose the best model used in the environmental scope measurement errors, where the comparison between the models is done using the mean square error (MSE). These methods were applied to real data on environmental pollution/ air pollution in the city of Baghdad, and the most important conclusions that we reached when using statistical methods in estimating parameters and choosing the best model, we found that the MedianDurbin model is the best as it has less MSE, but when using flower The pollination algorithm showed that the MedianWald model is the best because it has the lowest MSE, and when we compare the statistical methods with the FPA in selecting semiparametric models, we notice the superiority of the FP algorithm in all methods and for all models.
0

1375
1389


Ons
Musa
Mustansiriyah University , College of physical education and sports science, Iraq
Iran
ons.edin1001a@coadec.uobaghdad.edu.iq


Sabah
Ridha
Baghdad University, Department of statistics, Iraq
Iran
drsabah@coadec.uobaghdad.edu.iq
Semiparametric
Measurement error
Flower Pollination Algorithm
instrument variables method
kernel smoothing
Nadaraya Watson
KNearest neighbor smoothing
median smoothing
1

A statistical approach and analysis computing based on autoregressive integrated moving averages models to predict COVID19 outbreak in Iraq
https://ijnaa.semnan.ac.ir/article_5745.html
10.22075/ijnaa.2022.5745
1
A time series has been adopted for the numbers of people infected with the Covid19 pandemic in Iraq for a whole year, starting from the first infection recorded on February 18, 2020 until the end of February 2021, which was collected in the form of weekly observations and at a size of 53 observations. The study found the quality and suitability of the autoregressive moving average model from order (1,3) among a group of autoregressive moving average models. This model was built according to the diagnostic criteria. These criteria are the Akaike information criterion, Bayesian Information Criterion, and Hannan & Quinn Criterion models. The study concluded that this model from order (1,3) is good and appropriate, and its predictions can be adopted in making decisions.
0

1391
1415


Ali
Kazem Naji
College of Education for Pure Science, University of Babylon, Iraq
Iran
ali.babylon1982@gmail.com


Asmaa
Ashoor
College of Basic Education, University of Babylon, Iraq
Iran
Autoregressive Models
ACF
PACF
COVID19
Unit Root Test
1

A comparative study on numerical, nonBayes and Bayes estimation for the shape parameter of Kumaraswamy distribution
https://ijnaa.semnan.ac.ir/article_5756.html
10.22075/ijnaa.2022.5756
1
This paper is considered with Kumaraswamy distribution. Numerical, nonBayes and Bayes methods of estimation were used to estimate the unknown shape parameter. The maximum likelihood is obtained as a nonBayes estimator. As well as, Bayes estimators under a symmetric loss function (Degroot and NLINEX) by using four types of informative priors three double priors and one single prior. In addition, numerical estimators are obtained by using Newton's method and the false position method. Simulation research is conducted for the comparison of the effectiveness of the proposed estimators. Matlab 2015 will be used to obtain the numerical results.
0

1417
1434


Mohammed
Mahmoud
Department of Mathematics, College of Science, Mustansiriyah University, Baghdad, Iraq
Iran
mahommedadnan1993@gmail.com


Amal
Mohammed
Department of ways and Transportation, College of Engineering, Mustansiriyah University, Baghdad, Iraq
Iran
dr.amal70@uomustansiriyah.edu.iq


Sudad
Abraheem
Department of Mathematics, College of Science, Mustansiriyah University, Baghdad, Iraq
Iran
sudad1968@uomustansiriyah.edu.iq
Kumaraswamy distribution
Bayes
nonBayes
Numerical estimator
1

DId COVID 19 help authors to publish in high impact journal
https://ijnaa.semnan.ac.ir/article_5757.html
10.22075/ijnaa.2022.5757
1
The progressing of countries is measured by scientific research, Iraq made a good progressing in recent three years, whereas the Ministry of Higher Education and Scientific Research announced that Iraq ranked fiftyfourth among the publishing countries in Scopus. The study aim is to look after if COVID 19 help Iraq to get this rank? The information was collected by questionnaires to general people and a phone interview with chief editors of Iraqi journals had been made. The results showed that the COVID 19 play an important role in helping authors to collect any information about paper publishing in high impact journals and this is due to the ease of access to information that was previously restricted with a specific time and place and became available online because of the COVID 19 lockdown. Despite the seriousness of COVID 19 but as we know that always there is a positive aspect of everything happening around us, COVID 19 helped us to know an important advantage of elearning that we do not know before.
0

1435
1443


Israa
Alameen
Technical Community Health Department, Technical Medical Institute, Middle Technical University, Baghdad, Iraq
Iran
israaalameen@mtu.edu.iq


Arkan
Jaber Saeed
Ministry of Electricity, General Company for Electricity Transmission, Central Network, Iraq
Iran
arkan.jebur@gmail.com


Aziz
Abdulla
Environmental Engineering Department, College of Engineering, Tikrit University, Tikrit, Iraq
Iran
lan914@gmail.com
Covid 19
High impact journals
Iraqi authors
1

Some common fixed point theorems for strict contractions
https://ijnaa.semnan.ac.ir/article_5758.html
10.22075/ijnaa.2019.17470.1937
1
The extension of Aamri and El Moutawakil's property [1] to setvalued mappings arena is given. Also, some common fixed point theorems for strict contractions are established. these theorems extend results in [1,8].
0

1445
1450


Mohamed
Ahmed
College of Science and Humanities at Howtat Sudair, Majmaah University, Saudi Arabia
Iran
mahmed68@yahoo.com
Property (M. V.)
setvalued
singlevalued
weakly compatible
1

Some modified types of arrow domination
https://ijnaa.semnan.ac.ir/article_5759.html
10.22075/ijnaa.2022.5759
1
The aim of this paper is to introduce some new modified types of arrow domination by adding some conditions on the arrow dominating set or on its complement set. Coindependent arrow domination, restrained arrow domination, connected arrow domination, and complementary tree arrow domination are the main types of domination introduced here. More properties and bounds are discussed and applied to some graphs.
0

1451
1461


Suha
Radhi
Department of Mathematics, College of Education for Pure Sciences, University of ThiQar, ThiQar, Iraq
Iran
jabbermath@utq.edu.iq


Mohammed
Abdlhusein
Department of Mathematics, College of Education for Pure Sciences, University of ThiQar, ThiQar, Iraq
Iran
mmhd@utq.edu.iq


Ayed
Hashoosh
Department of Mathematics, College of Education for Pure Sciences,
University of ThiQar, ThiQar, Iraq
Iran
ayed.hashoosh@utq.edu.iq
Arrow domination
dominating set
domination number
1

On the maximum number of limit cycles of a planar differential system
https://ijnaa.semnan.ac.ir/article_5760.html
10.22075/ijnaa.2021.23049.2468
1
In this work, we are interested in the study of the limit cycles of a perturbed differential system in (mathbb{R}^2), given as follows[left{begin{array}{l}dot{x}=y, \dot{y}=xvarepsilon (1+sin ^{m}(theta ))psi (x,y),%end{array}%right.]where (varepsilon) is small enough, (m) is a nonnegative integer, (tan (theta )=y/x), and (psi (x,y)) is a real polynomial of degree (ngeq1). We use the averaging theory of firstorder to provide an upper bound for the maximum number of limit cycles. In the end, we present some numerical examples to illustrate the theoretical results.
0

1462
1478


Sana
Karfes
Laboratory of Applied Mathematics, Badji MokhtarAnnaba University, P.O. Box 12, 23000 Annaba, Algeria
Iran
sana.karfes@gmail.com


Elbahi
Hadidi
Laboratory of Applied Mathematics, Badji MokhtarAnnaba University, P.O. Box 12, 23000 Annaba, Algeria
Iran
ehadidi71@yahoo.fr


Mohamed Amine
Kerker
Laboratory of Applied Mathematics, Badji MokhtarAnnaba University, P.O. Box 12, 23000 Annaba, Algeria
Iran
a_kerker@yahoo.com
Periodic solution
averaging method
differential system
1

Expanded Integral differential equations and their applications
https://ijnaa.semnan.ac.ir/article_5761.html
10.22075/ijnaa.2022.5761
1
Differential equations can be used to examine patrials of higher rank with varying coefficients in various regions of the Cartesian coordinate plane. Meanwhile, the researchers and scientists have N. Rajabov, A.S. Star and F.A. Nasim Adeeb Haneen, and others. As a result, while the coefficients ofpartial differential equations differ from those of partial differential equations, this research examined the partial differential equation based on its rank (fourth rank). Conditions are established for the production of their coefficients within the context of that equation. In multiple different scenarios involving these coefficients, a single solution for that partial differential equation. These circumstances were summed up in five theories.
0

1479
1491


Rusul Mohammed Hussein
AlShmary
Ministry of Education, Directorate of Education, Babylon, Iraq
Iran
rusull.alshmary89@gmail.com
differential equations
Partial differential equations
rank
1

Novel solitons through optical fibres for perturbed cubicquinticseptic nonlinear Schr"{o}dingertype equation
https://ijnaa.semnan.ac.ir/article_5766.html
10.22075/ijnaa.2022.5766
1
The current analysis employs the Riccati and modified simple equation methods to retrieve new optical solitons for highly dispersive nonlinear Schr"{o}dingertype equation (NLSE). With cubicquinticseptic law (also known as a polynomial) of refractive index and perturbation terms having cubic nonlinearity, 1optical solitons in the form of hyperbolic, periodic, and rational are derived. the two schemes offer an influential mathematical tool for solving NLSEs in various areas of applied sciences.
0

1493
1506


Emad
AzZobi
Department of Mathematics and Statistics, Faculty of Science, Mutah University, AlKarak, Jordan
Jordan
eaaz2006@mutah.edu.jo


Ahmed
Alleddawi
Department of Mathematics and Statistics, Faculty of Science, Mutah University, AlKarak, Jordan
Iran
ahmedo.k.alleddawi@gmail.com


Islam
Alsaraireh
Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin (UniSZA), Kuala Terengganu, Malaysia
Iran
i.alsaraireh@seu.edu.sa


Mustafa
Mamat
Preparatory Year, Saudi Electronic University, Abha, Kingdom of Saudi Arabia
Iran
must@unisza.edu.my


Lanre
Akinyemi
Department of Mathematics, Lafayette College, Easton, Pennsylvania, USA
Iran
akinyeml@lafayette.edu


Hadi
Rezazadeh
Faculty of Engineering Technology, Amol University of Special Modern Technologies, Amol, Iran
Iran
rezazadehadi1363@gmail.com
Conformable derivative
Riccati simple equation method
Modified simple equation method
Optical soliton solutions
1

Numerical solutions of nonlinear Burgers‒Huxley equation through the Richtmyer type nonstandard finite difference method
https://ijnaa.semnan.ac.ir/article_5767.html
10.22075/ijnaa.2021.25004.2878
1
The Burger‒Huxley equation as a wellknown nonlinear physical model is studied numerically in the present paper. In this respect, the nonstandard finite difference (NSFD) scheme in company with the Richtmyer’s (3, 1, 1) implicit formula is formally adopted to accomplish this goal. Moreover, the stability, convergence, and consistency analyses of nonstandard finite difference schemes are investigated systematically. Several case studies with comparisons are provided, confirming that the current numerical scheme is capable of resulting in highly accurate approximations.
0

1507
1518


Farnoosh
Izadi
Department of Applied Mathematics, Faculty of Mathematical Sciences, Lahijan Branch, Islamic Azad University, Lahijan, Iran
Iran
farnooshizadi@yahoo.com


Hashem
Saberi Najafi
Department of applied mathematics, Faculty of mathematical sciences, Lahijan branch, Islamic Azad University, Lahijan, Iran
Iran
hnajafi@guilan.ac.ir


Amir Hosein
Refahi Sheikhani
Department of Applied Mathematics, Faculty of Mathematical Sciences, Lahijan Branch, Islamic
Azad University, Lahijan, Iran.
Iran
ah_refahi@liau.ac.ir
Burger‒Huxley equation
Nonstandard finite difference scheme
Richtmyer’s (3, 1, 1) implicit formula
1

Compression of image using multiwavelet techniques
https://ijnaa.semnan.ac.ir/article_5768.html
10.22075/ijnaa.2022.5768
1
Digital compression of images is a topic that has appeared in a lot of studies over the past decade to this day. As wavelet transform algorithms advance and procedures of quantization have helped to bypass current compression of image standards such as the JPEG algorithm. To get the highest effectiveness in compression of image transforms of wavelet need filters which gather a desirable character's number i.e., symmetry and orthogonally. Nevertheless, wave design capabilities are restricted due to their ability to have all of such desirable characters at the same time. The multiwavelet technology removes a few of the restrictions of the wavelet play more than the options of design and thus able to gather all desired Characters of transforming. Wavelet andmultiwave filter banks are tested on a larger scale with images, providing more useful analysis. Multiple waves indicate energycompression efficiency (a higher compression ratio usually indicates a higher mean square error, MSE, in the compressed image). Filter bank Characters such as orthogonal and compact support, symmetry, and phase response are important factors that also affect MSE and professed quality of the image. The current work analyzes the multiwave Characters effect on the performance of compression of images. Four multiwavelength Characters (GHM, CL, ORT4) were used in this thesis and the compression of image performance of grayscale images was compared with common scalar waves (D4). SPIHT quantification device in stress chart and use of PSNR and subjective quality measures to assess performance. The results in this paper point out those multi wave characteristics that are most important for the compression of images. Moreover, PSNR results and subjective quality show similar performance to the best scalar and multiwaves. The analysis also shows that a programmer based on multiband conversion significantly improves the perceived image quality.
0

1519
1535


Saba
AbdulWahed
Department of Computer Science, College of Computer Science and Information Technology, University of Basrah, Basrah, Iraq
Iran
saba.saddam@uobasrah.edu.iq


Marwah
Kamil Hussein
Department of Information Systems, College of Computer Science and Information Technology, University of Basrah, Basrah, Iraq
Iran
marwa.hussein@uobasrah.edu.iq


Huda
Ahmed
Department of Information Systems, College of Computer Science and Information Technology, University of Basrah, Basrah, Iraq
Iran
hudaahmed75.cit@uobasrah.edu.iq
Image processing
Compression
SPIHT
Multiwavelet
MSE
1

Escape criteria for one parameter family of complex functions (mathbf{f}_{mathbf{k}}left( mathbf{z}right)mathbf{=}mathbf{text{kcsc}}left( mathbf{z} right)) via nonstandard iterations
https://ijnaa.semnan.ac.ir/article_5769.html
10.22075/ijnaa.2022.5769
1
In this research we stated and proved the some escape criteria theorems of the one parameter family of the transcendental meromorphicfunctions (Fmathbf{=}left{ f_{k}left( z right) = k cscleft( z right):kmathbb{in C }text{and}text{ z}mathbb{in C} right}). Furthermore, we used nonstandard iterations: Mann, Ishikawa and Noor iterations in the complex plane. This research can be considered as an extension of [1].
0

1537
1543


Iman
Hussain
Department of Mathematics and Computer Applications College of Science, AlNahrain University, Iraq
Iran
iman.a.hussain@nahrainuniv.edu.iq


Zeana
Jamil
Department of Mathematics, College of Science, Baghdad University, Iraq
Iran
zina.z@sc.uobaghdad.edu.iq


Nuha
Hamada
Al Ain University, Abu Dhabi, UAE
Iran
nuha.hamada@aau.ac.ae
Escape criteria
meromorphic functions
transcendental functions
Mann iteration
Ishikawa iteration
Noor iteration
1

A new bond portfolio optimization model as twostage stochastic programming problems in U.S. market
https://ijnaa.semnan.ac.ir/article_5771.html
10.22075/ijnaa.2022.5771
1
We formulate a new bond portfolio optimization model as a twostage stochastic programming problem in which a decision maker can optimize the cost of bond portfolio selection while deciding which bonds to sell, which bonds to hold, and which bonds to buy from the market, as well as determine the quantity of additional cash in period t under different scenarios and varying assumptions, The model proved its efficiency by finding the optimal values and giving an investment plan that, it will reduce the cost of the portfolio.
0

1545
1563


Mohammed
Alkailany
Department of Operation Research and Int. Tech., Collage of Computer Sciences and Mathematics, University of Mosul, Iraq
Iran
alkailanym@uomosul.edu.iq


Mohammed
Abdalrazzaq
Department of statistic, Collage of Administration and Economics, University of Bagdad, Iraq
Iran
dr_aldouri@coadec.uobagdad.edu.iq
Stochastic Portfolio Programming model
Linear Programming
nonlinear programming
constrained optimization
1

On studying bi(Gamma)algebra and some related concepts
https://ijnaa.semnan.ac.ir/article_5772.html
10.22075/ijnaa.2022.5772
1
The aim of this research paper is to introduce the concept of bi(Gamma)algebra space (bigamma algebra space). The concept of bi(mu)measurable set in a bi(Gamma)algebra space is defined. With this concept, some properties of bi(Gamma)algebra space are proved. We then define various separation axioms for bi(Gamma)algebra space such as (M_{0},M_{1}, M_{2}, M_{3},) and (M_{4}); then the relationships between them are studied. In addition, the concept of measurable function between two bimeasurable spaces is introduced and some results are discussed.
0

1565
1572


Mohaimen
Abbood
Ministry of Education, General Directorate of Education in Diyala, Iraq
Iran
mohaimen.m.abbood35502@st.tu.edu.iq


Ali AlFayadh
Ali AlFayadh
Department of Mathematics and Computer Applications, College of Science, AlNahraini University, Baghdad, Iraq
Iran
aalfayadh@yahoo.com


Hassan
Ebrahim
Department of Mathematics, College of Computer Science and Mathematics, Tikrit University, Tikrit, Salahaddin, Iraq
Iran
hassan1962pl@tu.edu.iq
algebra
( sigma)field
(sigma)algebra
(Gamma)algebra
measurable function
1

Optimal credit risk model based on metaheuristic particle swarm algorithm and multilayer perceptron neural network
https://ijnaa.semnan.ac.ir/article_5773.html
10.22075/ijnaa.2021.25062.2903
1
The present study aims to develop a credit portfolio optimization model in the banking industry using a multilayer perceptron artificial neural network with a metaheuristic particle swarm algorithm. Risk, having its own complexity, is a basic concept in financial markets. Since there is no clear picture of risk realization, financial markets are in need of risk control and management approaches. With regard to data collection, this is a descriptive study and regarding the nature and purpose of the research, it is a developmentalapplied one. The statistical population of the research includes all facility files of the last 10 years and the financial statements of a commercial bank, selected by census method. The risk criteria used in the models include fuzzy ValueatRisk (VaR), fuzzy conditional ValueatRisk (CVAR), fuzzy average ValueatRisk(AVaR), fuzzy lower absolute deviation(LAD), fuzzy SemiKurtosis, and fuzzy SemiEntropy. The research models were implemented using a threelayer perceptron artificial neural network. MATLAB software was used to conduct the research. The results indicate that the performance of the fuzzy average ValueatRisk model is better than other models in evaluating optimal portfolios due to the lower mean squared error rate in generating more revenue. Therefore, it is recommended that the above model be used to optimize the credit portfolio.
0

1573
1586


Ali Asghar
Tehranipour
Department of Financial Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
Iran
ali.tehranippor54@gmail.com


Ebrahim
Abbasi
Department of Management, faculty of social sciences and economics, Alzahra University, Tehran, Iran
Iran
abbasiebrahim2000@alzahra.ac.ir


Hossein
Didehkhani
Department of Financial Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
Iran
h.didehkhani@gmail.com


Arash
Naderian
Department of Accounting, Aliabad Katoul branch, Islamic Azad University, Aliabad Katoul, Iran
Iran
arashnaderian@yahoo.com
Portfolio Optimization, Perceptron Artificial Neural Network
Credit Risk
particle swarm optimization algorithm
1

On the maximum likelihood, Bayes and expansion estimation for the reliability function of Kumaraswamy distribution under different loos function
https://ijnaa.semnan.ac.ir/article_5774.html
10.22075/ijnaa.2022.5774
1
This work deals with Kumaraswamy distribution. Maximum likelihood, Bayes and expansion methods of estimation are used to estimate the reliability function. A symmetric Loss function (Degroot and NLINEX) are used to find the reliability function based on four types of informative prior three double priors and one single prior. In addition expansion methods (Bernstein polynomials and Power function) are applied to find reliability function numerically. Simulation research is conducted for the comparison of the effectiveness of the proposed estimators. Matlab (2015) will be used to obtain the numerical results.
0

1587
1604


Mohammed
Mahmoud
Department of Mathematics, College of Science, Mustansiriyah University, Baghdad, Iraq
Iran
mahommedadnan1993@gmail.com


Sudad
Abraheem
Department of Mathematics, College of Science, Mustansiriyah University, Baghdad, Iraq
Iran
sudad1968@uomustansiriyah.edu.iq


Amal
Mohammed
Department of Ways and Transportation, College of Engineering, Mustansiriyah University, Baghdad, Iraq
Iran
dr.amal70@uomustansiriyah.edu.iq
Kumaraswamy distribution
Maximum likelihood
Bayes, expansion methods
1

On primary isolated submodules
https://ijnaa.semnan.ac.ir/article_5775.html
10.22075/ijnaa.2022.5775
1
Let (L) be a left module over a ring (text{ S}) with identity. In this paper, the concept of primary isolated submodules is introduced. We look for relations between this class of submodules and related modules. A number of facts and characterizations that concern is gained. The aim of this work is to introduce and study the primary isolated submodules as a generalization of isolated submodules. A submodule (A) of (L) is primary isolated if for each proper (B) of (A), there is a primary submodule (C) of (L), (B subseteq C) but(text{ A} nsubseteq C). Some properties are gained and we look for any relationship between this type of modules and other related modules.
0

1605
1611


Ghaleb
Ahmed
Department of Mathematics, College of Education for Pure Science, IbnAlHaitham, University of Baghdad, Baghdad, Iraq
Iran
ghaleb.a.h@ihcoedu.uobaghdad.edu.iq


Tamara
Alshareef
Department of Mathematics, College of Education for Pure Science, IbnAlHaitham, University of Baghdad, Baghdad, Iraq
Iran
tamaraalshareef@yahoo.com
Primary isolated submodules
Primary lifted submodules
Primary radical submodules
Primary submodules
Prime submodules
1

The decision making strategy of prospective mathematics teachers in improving LOTS to be HOTS problem
https://ijnaa.semnan.ac.ir/article_5776.html
10.22075/ijnaa.2022.5776
1
This study aimed to explore the decision making of a prospective mathematics teacher in the process of improving a Lower Order Thinking Skills (LOTS) problem to be a Higher Order Thinking Skills (HOTS) problem.~This study involves 51 prospective mathematics teachers taking part in improving HOTS problems. Two students were chosen based on their uniqueness and quality of HOTS problems produced and their fluency in communication.~Semistructured based task interviews were conducted to both participants in exploring the decisionmaking processbased. Furthermore, the data were analyzed qualitatively. The results showed that S1 was able to produce threequestion related to one another, take two questions assess the reasonableness, finally decide one problem consisting of two items. S2 was able to generate three separate ideas, clarify the three ideas, and assess the three ideas and finally decide on one HOTS problem. S1 and S2 are still lack in involving Pedagogical Content Knowledge in assessing ideas especially. These results have an impact on the importance of developing a teaching model that improves the Decision making Strategy Furthermore, it is necessary to explore the decisionmaking process of preservice and inservice mathematics teachers in developing the HOTS problems.
0

1613
1627


Suwarno
Suwarno
Departement of Mathematics Education, Universitas Negeri Malang, Malang, Indonesia
Iran
suwarno.1803119@students.um.ac.id


Toto
Nusantara
Departement of Mathematics Education, Universitas Negeri Malang, Malang, Indonesia
Iran
toto.nusantara.fmipa@um.ac.id


Susiswo
Susiswo
Departement of Mathematics Education, Universitas Negeri Malang, Malang, Indonesia
Iran
susiswo.fmipa@um.ac.id


Santi
Irawati
Departement of Mathematics Education, Universitas Negeri Malang, Malang, Indonesia
Iran
santi.irawati.fmipa@um.ac.id
higher order thinking skills
generating
clarifying
assessing ideas
1

Using LeraySchauder topological degree to solve a linear diffusion parabolic equation with periodic initial conditions
https://ijnaa.semnan.ac.ir/article_5777.html
10.22075/ijnaa.2022.5777
1
Throughout this manuscript, we show time periodic solutions to a linear diffusion parabolic equation with Diriclet condition. Based on the topological degree theorem, we prove a time periodic solutions of the system such that we found the fixed point when the domain of the solution is sufficiently small.
0

1629
1635


Raad
Hameed
Department of Mathematics, College of Education for Pure Sciences, Tikrit University, Tikrit, Iraq
Iran
dr.raad.awad@tu.edu.iq


Faez
Ghaffoori
Department of Mathematics, College of Basic Education, Mustansiriyah University, Baghdad, Iraq
Iran
fng2022@uomustansiriyah.edu.iq


Hekmat
Mustafa
Department of Mathematics, College of Education, Al Hamdaniya University, Mosul, Iraq
Iran
hekmat78@uohamdaniya.edu.iq


Wafaa
Taha
Department of Mathematics, College of Sciences, Kirkuk University, Kirkuk, Iraq
Iran
wafaamath2013@gmail.com


Maan
Rasheed
Department of Mathematics, College of Basic Education, Mustansiriyah University, Baghdad, Iraq
Iran
maan.rasheed.edbs@uomustansiriyah.edu.iq
weakly nonlinear sources
Diriclet boundary conditions
Timeperiodic solution
Topological degree theorem
1

Treatment of dynamical nonlinear Measles model: An evolutionary approach
https://ijnaa.semnan.ac.ir/article_5778.html
10.22075/ijnaa.2020.20450.2156
1
Measles is a respiratory system infection caused by a Morbillivirus genus virus. The disease spreads directly or indirectly through respiration from the infected person's nose and mouth after contact with fluids. The vast population of infects in developing countries is yet at risk. Generally, the mathematical model of Measles virus propagation is nonlinear and therefore changeable to solve by traditional analytical and finite difference schemes by processing all properties of the model like boundedness, positivity feasibility. In this paper, an unconditionally convergent semianalytical approach based on modern Evolutionary computational technique and Padé Approximation (EPA) has been implemented for the treatment of nonlinear Measles model. The convergence solution of EPA scheme on population: susceptible people, infective people, and recovered people have been studied and found to be significant. Eventually, EPA reduces contaminated levels very rapidly and no need to supply step size. A robust and durable solution has been established with the EPA in terms of the relationship between diseasefree equilibrium in the population. When comparing the NonStandard Finite Difference (NSFD) approach, the findings of EPA have shown themselves to be far superior.
0

1629
1638


Muhammad Farhan
Tabassum
Department of Mathematics, University of Management and Technology, Lahore, Pakistan
Iran
farhanuet12@gmail.com


Ali
Akgul
Art and Science Faculty, Department of Mathematics, Siirt University, 56100 Siirt, Turkey
Iran
aliakgul00727@gmail.com


Sana
Akram
Department of Mathematics, University of Management and Technology, Lahore, Pakistan
Iran
sanaakram03@gmail.com


Muhammad
Farman
Department of Mathematics and Statistics, University of Lahore, Lahore, Pakistan
Iran
farmanlink@gmail.com


Rabia
Karim
Department of Sports Sciences, Faculty of Allied Health Science, University of Lahore, Lahore, Pakistan
Iran
rabia.karim490@gmail.com


Saadia Mahmood ul
Hassan
Department of Sports Sciences, Faculty of Allied Health Science, University of Lahore, Lahore, Pakistan
Iran
saadiaa.hassan@gmail.com
Optimization
Epidemiological Measles Model
Padéapproximation
differential evolution
Penalty Function
1

Analysis of deep learning methods in diabetic retinopathy disease identification based on retinal fundus image
https://ijnaa.semnan.ac.ir/article_5779.html
10.22075/ijnaa.2022.5779
1
Diabetic retinopathy (DR) is a serious retinal disease and is considered the leading cause of blindness and is strongly associated with people with diabetes. Ophthalmologists use optical coherence tomography (OCT) and retinal fundus imagery to assess the retinal thickness, structure, and also detecting edema, bleeding, and scarring. Deep learning models are used to analyze OCT or fundus images, extract unique features for each stage of DR, then identify images and determine the stage of the disease. Our research using retinal fundus imagery is used to identify diabetic retinopathy disease, among others, using the Convolutional Neural Network (CNN) method. The methodology stage in the study was a green channel, Contrast Limited Adaptive Histogram Equalization (CLAHE), morphological close, and background exclusion. Next, a segmentation process is carried out that aims to generate binary imagery using thresholding techniques. Then the binary image is used as training data conducted epoch as much as 30 times to obtain an optimal training model. After testing, the deep learning method with the CNN algorithm obtained 95.355% accuracy in the identification of diabetic retinopathy disease based on fundus image in the retina.
0

1639
1647


N
Nurrahmadayeni
Department of Master in Informatic Engineering, Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan, Indonesia
Iran
nurrahmadayeni@usu.ac.id


Syahril
Efendi
Department of Master in Informatic Engineering, Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan, Indonesia
Iran
syahril1@usu.ac.id


Muhammad
Zarlis
Department of Master in Informatic Engineering, Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan, Indonesia
Iran
m.zarlis@usu.ac.id
Deep Learning Methods
Diabetic Retinopathy
Retinal Fundus Image
1

Solving multiobjectives function problem using branch and bound and local search methods
https://ijnaa.semnan.ac.ir/article_5780.html
10.22075/ijnaa.2022.5780
1
In this paper we consider $1//sum^n_{j=1}{(E_j+T_j+C_j+U_j+V_j)}$ problem, the discussed problem is called a Multi objectives Function (MOF) problem, As objective is to find a sequence that minimizes the multiple objective functions, the sum earliness, the tardiness, the completion time, the number of late jobs and the late work. The NPhard nature of the problem, hence the existence of a polynomial time method for finding an optimal solution is unlikely. This complexity result leads us to use an enumeration solution approach. In this paper we propose a branch and bound method to solve this problem. Also, we use fast local search methods yielding near optimal solution. We report on computation experience; the performances of exact and local search methods are tested on large class of test problems.
0

1649
1658


Manal
Ibrahim
Mathematics Dept, Mustansiriyah University, College of Science/ Baghdad, Iraq
Iran
manalhashimibrahim@uomustansiriyah.edu.iq


Faez
Ali
Mathematics Dept, Mustansiriyah University, College of Science/ Baghdad, Iraq
Iran
faezhassan@uomustansiriyah.edu.iq


Hanan
Chachan
Mathematics Dept, Mustansiriyah University, College of Science/ Baghdad, Iraq
Iran
Machine Scheduling with MultiObjective problem
Branch and Bound
Simulated Annealing
Genetic Algorithm. Optimization
Firefly Algorithm
1

Designing a control system for traffic lights by VANET protocol
https://ijnaa.semnan.ac.ir/article_5781.html
10.22075/ijnaa.2022.5781
1
In this paper, VANET protocol is used to reduce traffic jams and accidents on the roads. The proposed algorithm is dependent on the wireless network between cars. The system is part of a wireless control node located at the intersection, which determines the optimal values of the phases of traffic lights. The protocol used in this research provides traffic fluency when compared to adaptive systems based on the use of cameras. It has also been developed as an integrated system validation simulator. The simulation framework consists of a realistic vehicle navigation model and a wireless network simulator. The proposed system designed as a work system that can be analyzed for peak hours and we got acceptable results. Average delay, fuel consumption and pollution are significantly reduced.
0

1659
1666


Ahmed
AlAzzawi
Administrative and Financial Affairs Department, University of Diyala, Iraq
Iran
ad_ahmedalazzawi@uodiyala.edu.iq


Fadhil
Zaidan
Department of Computer, Science College, University of Diyala, Iraq
Iran
sc_fadhelzaidan@uodiyala.edu.iq


Ihsan
Hassan
College of Medicine, University of Diyala, Iraq
Iran
ihsan@uodiyala.edu.iq
Control System
Traffic Light
1

The effectiveness of the integrated inquiry guided model STEM on students scientific literacy abilities
https://ijnaa.semnan.ac.ir/article_5782.html
10.22075/ijnaa.2022.5782
1
Science literacy is very important to be prepared for the younger generation in order to solve problems in life. STEM integrated guided inquiry is a strategy that can be done to improve scientific literacy in the learning process. We examine the effect of the integrated STEM guided inquiry model on students' scientific literacy abilities. A total of 66 middle school students participated in this study. Data were collected from one question instrument and then analyzed by normality test (chi square), homogeneity test for variance and hypotesis test (ttest). STEM integrated guided inquiry model has a significant effect with significance level 1% ($alpha $= 0,99) is obtained t$ _{text{count}} $ 7,9 $ > $ t$_ {text{table}} $ 2,66. Based on the result obtained that STEM integrated guided inquiry model that can improve literacy science skills compared to conventional model
0

1667
1672


Muhammad
Kahar
Department of Mathematics Education, Universitas Muhammadiyah Sorong, Indonesia
Iran
syahrulkahar@umsorong.ac.id


S.
Susilo
Program Studi Pendidikan Biologi, Universitas Muhammadiyah Prof. Dr. Hamka, Indonesia
Iran
susilo@uhamka.ac.id


Dahlan
Abdullah
Department of Informatics, Universitas Malikussaleh, Aceh, Indonesia
Iran
dahlan@unimal.ac.id


Venny
Oktaviany
Department of Primary Teacher Education, STKIP Kusuma Negara, Indonesia
Iran
Guided Inquiry
STEM
Science Literacy
1

Forecasting the numbers of cardiac diseases patients by using BoxJenkins model in time series analysis
https://ijnaa.semnan.ac.ir/article_5783.html
10.22075/ijnaa.2022.5783
1
The aim of this study is analysis time series with using (Box and Jenkins ) method by identification , estimation, diagnosis, checking of model ,forecasting to find the beast forecasting model to the number of patient with cardiac in Misan province by using the monthly data of the period (20052016) by using SPSS version (26).The result of data analysis show that the proper and suitable model is Autoregression of order ARIMA (1,1,0) .According to this model the study forecast the numbers of patients with cardiac diseases the next years in monthly , so the forecasting values represented the scours time series data that deal to the efficiency of the model.
0

1673
1681


Sabah
Jasim Alsaedi
Mathematic Department  College of Basic Education, Misan University, Iraq
Iran
sabah.h.alsaedi@gmail.com
Forecasting
Cardiac diseases
Box Jenkins
Time series analysis
1

A local densitybased outlier detection method for high dimension data
https://ijnaa.semnan.ac.ir/article_5784.html
10.22075/ijnaa.2022.5784
1
The researchers faced challenges in the outlier detection process, mainly when deals with the high dimensional dataset; to handle this problem, we use The principal component analysis. Outlier detection or anomaly detection, with local densitybased methods, compares the density of observation with the surrounding local density neighbors. We apply the outlier score as a measure of comparison. In this research, we choose different density estimation functions and calculated different distances. Weighted kernel density estimation with adaptive bandwidth for multivariate kernel density estimation(Gaussian) considered the $KNN$ and RNN. $KNN$ is considered too for the Epanenchnikov kernel density estimation. Lastly, we estimate the LOF as a base method in detecting outliers. Extensive experiments on a synthetic dataset have shown that RKDOS and EPA are more efficient than LOF using the precision evaluation criterion.
0

1683
1699


Shahad
Abdulghafoor
University of Baghdad, College of Management and Economics, Department Of Statistics, Iraq
Iran
shahed.adel1001a@coadec.uobaghdad.edu.iq


Lekaa
Mohamed
University of Baghdad, College of Management and Economics, Department Of Statistics, Iraq
Iran
lekaa.a@coadec.uobaghdad.edu.iq
local density
Knearest neighbor
Rnearest neighbor
outlier score
WKDE
1

Performance analysis of local binary pattern and knearest neighbor on image classification of fingers leaves
https://ijnaa.semnan.ac.ir/article_5785.html
10.22075/ijnaa.2022.5785
1
The KNearest Neighbor (KNN) method is often used by researchers for the classification process because it has a relatively great level of accuracy, however it also has a weakness which is sensitive of the noises. This research is aims to introduce an object recognition (identification) system of fingers leaves by classified using the KNN method. To resolves the weaknesses of the KNN method, the researcher has used the Local Binary Pattern (LBP) method to extract features of the leaves. For the comparison in feature extraction, the researcher has used the Gray Level CoOccurrence Matrix (GLCM) method. The data that were used on this research are papaya leaves and chaya leaves (with the labels such as good and damage forms). In this research, an experimental design has been carried out that was differentiated by according to the comparison (of ratio) between training data and testing data (NI/Np), there were 90 training data and 45 testing data, where the feature extraction method used the 10 of features. Experimentally, it was shown that by using the ratio NI/Np = 67%:33%, the performance or system performance for classifying the images of fingers leaves by using the LBP extraction method showed that training data was obtained the results close to 95% and testing data was obtained the results close to 76%, while by using the GLCM extraction showed that training data was obtained the results close to 83% and testing data was obtained the results close to 58%.
0

1701
1708


A.
Ningtyas
Program Study of Computer Sciences, Faculty Computer Sciences and Information Technology, Universitas Sumatera Utara, Medan, Indonesia
Iran


E.
Nababan
Program Study of Computer Sciences, Faculty Computer Sciences and Information Technology, Universitas Sumatera Utara, Medan, Indonesia
Iran
ernabrn@usu.ac.id


S.
Efendi
Program Study of Computer Sciences, Faculty Computer Sciences and Information Technology, Universitas Sumatera Utara, Medan, Indonesia
Iran
KNearest Neighbor Method
Local Binary Pattern Method
Gray Level
CoOccurrence Matrix Method
Image Classification
1

Search method for solving multicriteria scheduling problem
https://ijnaa.semnan.ac.ir/article_5786.html
10.22075/ijnaa.2022.5786
1
Our research includes studying the case $ 1 // F(sum U_i ,sum Ti ,T_{max})$ minimized the cost of a threecriteria objective function on a single machine for scheduling n jobs. and divided this into several partial problems and found simple algorithms to find the solutions to these partial problems and compare them with the optimal solutions. This research focused on one of these partial problems to find minimize a function of sum cost of $ (sum U_i) $ sum number of late job and $ (sum Ti) $ sum Tardiness and $ (T_{max} ) $ the Maximum Tardiness for n job on the single machine, which is NPhard problem, first found optimal solutions for it by two methods of Complete Enumeration technique(CEM) and Branch and Bounded ((BAB)). Then use some Local search methods(Descent technique(DM), Simulated Annealing (SA) and Genetic Algorithm (GA)), Develop algorithm called ((A)) to find a solution close to the optimal solution. Finally, compare these methods with each other.
0

1709
1720


Doha
Adel Abbas
Department of Mathematics, College of Science, University of AlMustansiriyah, Bagdad, Iraq
Iran
doha.a.a@uomustansiriyah.edu.iq
Descent Method(DM)
Genetic Algorithm(GA)
Maximum tardiness
multiobjective optimization
Simulated annealing ((SA))
Total Number of Late job
Total Tardiness
1

On the exact solutions and conservation laws of a generalized (1+2)dimensional JaulentMiodek equation with a power law nonlinearity
https://ijnaa.semnan.ac.ir/article_5787.html
10.22075/ijnaa.2020.20589.2175
1
In this paper, a generalized (1+2)dimensional JaulentMiodek equation with a power law nonlinearity is examined, which arises in numerous problems in nonlinear science. The computed conservation laws reside in enormously crucial areas both at the foundations of nonlinear science such as biology, physics and other related areas. Exact solutions are acquired using the Lie symmetry method. In addition to exact solutions, we also present conservation laws. The arbitrary functions in the multipliers lead to infinitely many conservation laws.
0

1721
1735


Sivenathi
Mbusi
Department of Mathematical Sciences
NorthWest University Private Bag X 2046, Mmabatho
2735 Republic of South Africa
South Africa
siveoscar@gmail.com


Ben
Muatjetjeja
Department of Mathematical Sciences, NorthWest University Private Bag X 2046 Mmabatho 2735, Republic of South Africa
South Africa
ben.muatjetjeja@mopipi.ub.bw


A. R.
Adem
Department of Mathematical Sciences, University of South Africa, UNISA 0003, Republic of South Africa
South Africa
ademar@unisa.ac.za
A generalized (1+2)dimensional JaulentMiodek equation with a power law nonlinearity
Lie symmetry method
Conservation laws
1

Generalized Euler and RungeKutta methods for solving classes of fractional ordinary differential equations
https://ijnaa.semnan.ac.ir/article_5788.html
10.22075/ijnaa.2022.5788
1
A thirdorder fractional ordinary differential equation (FrODE) is very important in the mathematical modelling of physical problems. Generally, the thirdorder ODE is solved by converting the differential equation to a system of firstorder ODEs. However, it is a lot more efficient in terms of accuracy, a number of function evaluations as well as computational time if the problem can be solved directly using numerical methods. In this paper, we are focused on the derivation of the direct numerical methods which are one, two and threestage methods for solving thirdorder FrODEs. The RKD methods with two and three stages for solving thirdorder ODEs are adapted for solving special thirdorder FrDEs. Numerical examples have been evaluated to show the effectiveness of the new methods compared with the analytical method. Numerical experiments are carried out to verify the accuracy and efficiency of the proposed methods. Applications of proposed methods are also presented which yield impressive results for the proposed and modified methods. The numerical solutions of the test problems using proposed methods agree well with the analytical solutions. From the numerical results obtained using proposed methods, we can conclude that the proposed methods in which derived or modified in this paper are very efficient.
0

1737
1745


Mohammed
Mechee
Information Technology Research and Development Center (ITRDC), University of Kufa, Najaf, Iraq
Iran
mohammeds.abed@uokufa.edu.iq


Sameeah
H. Aidi
Department of Mathematics, Faculty of Education  Ibn Haithem, Baghdad University, Iraq
Iran
sameeahaidi9@gmail.com
RK
RKD
RKM
Ordinary
Thirdorder
DEs
ODEs
PDEs
FrDEs
1

Demming regressive multiobjective dragonfly optimized controller placement in SDN environment
https://ijnaa.semnan.ac.ir/article_5789.html
10.22075/ijnaa.2022.5789
1
Wireless networks are of high significance in current telecommunication systems, and in order to improve these systems, SoftwareDefined Networks (SDN)is used to centrally monitor and control the whole network with the help of a controller. The design of an SDNbased network is needed to identify the optimal amount of controllers for improving the performance of the network. The controller placement problem is determined on propagation latency but it failed to consider the load balancing, fault tolerance, bandwidth consumption and data transmission rate. Plan to develop a novel technique called Demming Regressive Multiobjective Dragonfly Optimized Controller Placement (DRMDOCP) for an optimal number of controller placement for enhancing network performance during different topologies. By applying DRMDOCP, the optimum number of controllers are selected and placed into the network to improve the overall network's performance. Therefore, a delay minimizationbased controller placement strategy is extremely preferred. The simulation of the DRMDOCP technique and existing methods is conducted using a network topology dataset and different performance metrics. The simulation results demonstrate that the DRMDOCP increases the packet delivery, throughput and reduces the average latency, packet drop when compared to the stateoftheart method.
0

1747
1761


J.
Hemagowri
Department of Computer Science, Karpagam Academy of Higher Education, Coimbatore, India
Iran
hemagowri.j@gmail.com


P
Selvan
Department of Computer Science, Karpagam Academy of Higher Education, Coimbatore, India
Iran
tmselvanin@gmail.com
Control placement Problem
Dragonfly Optimization
SDN
1

Some separation axioms On (Gamma)algebra
https://ijnaa.semnan.ac.ir/article_5795.html
10.22075/ijnaa.2022.5795
1
In this paper, we define and study some separation axioms on (Gamma)algebra space (gamma algebra space). The relationships between various separation axioms in (Gamma)algebra space are proved. In addition, the measurable function between two measurable spaces is introduced and some results are discussed.
0

1763
1768


Mohaimen
Abbood
Ministry of Education, General Directorate of Education in Diyala, Iraq
Iran
mohaimen.m.abbood35502@st.tu.edu.iq


Ali AlFayadh
Ali AlFayadh
Department of Mathematics and Computer Applications, College of Science, AlNahraini University, Baghdad, Iraq
Iran
aalfayadh@yahoo.com


Saba
AlKhafaji
Department of Mathematics, College of Education, AlZahraa University for Women, Karbala, Iraq
Iran
saba.nazar@alzaraa.edu.iq
algebra
( sigma)field
(sigma)algebra
(Gamma)algebra
measurable function
1

Relation theoretic results via simulation function with applications
https://ijnaa.semnan.ac.ir/article_5796.html
10.22075/ijnaa.2021.21036.2224
1
We introduce '{C}iri'{c} type $ mathcal{Z}_mathcal{R} $contraction to investigate the existence of single fixed point under a binary relation. In the sequel we demonstrate that variety of contractions are obtained as consequences of our contraction. Also we provide illustrative examples to demonstrate the significance of '{C}iri'{c} type $ mathcal{Z}_mathcal{R} $contraction in the existence of fixed point for discontinuous map via binary relation. The paper is concluded by applications to solve an integral equation and a nonlinear matrix equation.
0

1769
1783


Swati
Antal
Department of Mathematics
H. N. B. Garhwal University,
BGR Campus Pauri Garhwal246001
Uttarakhand, India
Iran
antalswati11@gmail.com


Anita
Tomar
Goverment Degree College Thatyur
(Tehri Garhwal) Uttarakhand, India
Iran
anitatmr@yahoo.com


U.C.
Gairola
Department of Mathematics, H.N.B. Garhwal university, Pauri Campus, Uttarakhand
Iran
ucgairola@rediffmail.com
Binary relation
transitive relation
'{C}iri'{c} type $ mathcal{Z}_mathcal{R} $contraction
$ mathcal{R} $continuity
1

The bifurcation analysis of an ecotoxicant model with antipredator behavior
https://ijnaa.semnan.ac.ir/article_5798.html
10.22075/ijnaa.2022.5798
1
In this study, the mathematical model of four differential equations for organisms that describe the effect of antipredation behavior, age stage and toxicity have been analyzed. Local bifurcation and Hopf bifurcation have been studied by changing a parameter of a model to study the dynamic behavior determined by bifurcation curves and the occurrence states of bifurcation saddle node, transcritical and pitch fork bifurcation. The potential equilibrium point at which Hopf bifurcation occurs has been determined and the results of the bifurcation behavior analysis have been fully presented using numerical simulation.
0

1785
1801


Huda
Kareem
Department of Mathematics, College of Science, University of Baghdad, Baghdad, Iraq
Iran
huda.kareem1203@sc.uobaghdad.edu.iq


Azhar
Majeed
Department of mathematics, College of Science, University of Baghdad, Baghdad, Iraq
Iran
azhar.majeed@sc.uobaghdad.edu.iq
Preypredator
Local Bifurcation
Global bifurcation
Hopf Bifurcation
1

Industry 4.0 technologies assessment: An integrated reverse supply chain model with the whale optimization algorithm
https://ijnaa.semnan.ac.ir/article_5800.html
10.22075/ijnaa.2021.25194.2943
1
In recent years, integrated reverse supply chain practices have been adopted by companies that desire to reduce the negative environmental and social impacts within their supply chains. models and solutions assisted by industry 4.0 technologies have been developed to transform products in the end of their life cycle into new products with different use. There are several methods with different technologies to recycle the wastes, which have been selected and weighted based on the indicators of the industry 4.0 revolution and the wastes sent to recycling centers based on the technology weight. The understudy model is multiobjective, including minimizing transportation costs and environmental effects and maximizing customer response demand. The whale optimization algorithm and the NSGAII algorithm were also used to solve this model. The results obtained from whale optimization and genetic algorithms have been comprised of each other through comparative indicators of quality, dispersion, uniformity, and solving time. The results showed that the whale algorithm has a higher ability to explore and extract possible points and achieve optimal solutions in all cases. The NSGAII algorithm was also superior to the whale algorithm in terms of uniformity and solving time. The investigation of changes in solving time with increasing problem size was another confirmation of the NPhard nature of the understudied problem.
0

1803
1825


Sharareh
Mohajeri
Department of Industrial Engineering, Nour Branch, Islamic Azad University, Nour, Iran
Iran
mohajerisharareh@gmail.com


Fatemeh
Harsej
Department of Industrial Engineering, Nour Branch, Islamic Azad University, Nour, Iran
Iran
f_harsej@iaunour.ac.ir


Mahboubeh
Sadeghpour
Department of Industrial Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
Iran
sadeghpoor.ma@gmail.com


Jahanfar
khaleghi nia
Department of Mechanical Engineering, Nour Branch, Islamic Azad University, Nour, Iran
Iran
j.khaleghinia@gmail.com
Reverse supply chain
Industry 4.0 revolution
whale optimization algorithm
technologies assessment
1

Implementing the EBDI model in an Ehealth system
https://ijnaa.semnan.ac.ir/article_5801.html
10.22075/ijnaa.2022.5801
1
Healthcare systems (patient monitoring and diagnosis systems) have recently attracted the interest of researchers. Intelligent software has been used as an agent in this field where research addresses the areas of electronic health (Ehealth) to develop and improve health care systems and to reduce the effort and time on health users (physicians, nurses) and to follow up on the condition of patients, especially the elderly, and also Intelligent software agents are using a result when most hospitals are out of capacity. The major goal of this study is to learn how we may use intelligent software for EHealth to assist physicians, nurses, and other health practitioners in collecting and tracking patient data on a daily basis in order to enhance treatment decisions. How can we achieve this in realtime in a dynamic and nondeterministic environment? As a result, we have built a modelbased system such as the Extensible Beliefs Desires and Intentions (EBDI) model as architecture for located autonomic software agents in runtime under dynamic and nondeterministic environments circumstances in this study. We have formalized the EBDI agent in EHealth as an online observer to monitor the state of a patient linked to sensors (thermometer, glucose meter, oxygen meter, etc.). This agent filters the data (sensor readings) and determines which readings are normal or abnormal before sending the patient's information to the administrative agent, which is a different type of EBDI agent. In addition, the system proposes a treatment plan based on the sensor readings and necessitates the participation of a human doctor in emergency situations. This study proposes developing a monitoring system to follow up (monitor) the health status of patients based on a multiagentsystem (MAS) with the Clustering process (using the Kmean Algorithm), where the system is designed to support warnings and alerts in abnormal health conditions and to call for a doctor's intervention in emergencies (when it is necessary).
0

1827
1839


Abir
Jabber
Department of Computer Science, University of AlQadisiyah, AlQadisiyah, Iraq
Iran
com.post01@qu.edu.iq


Ali
Obied
Computer Science Department, College of Computer Science and Information Technology, University of AlQadisiyah, Iraq
Iran
ali.obied@qu.edu.iq
Situated Agent
ElectronicHealth (Ehealth)
(EBDI)
Kmean algorithm
multiagentsystem (MAS)
1

A split common fixed point and null point problem for Lipschitzian $J$quasi pseudocontractive mappings in Banach spaces
https://ijnaa.semnan.ac.ir/article_5814.html
10.22075/ijnaa.2021.23332.2521
1
A split common fixed point and null point problem (SCFPNPP) which includes the split common fixed point problem, the split common null point problem and other problems related to the fixed point problem and the null point problem is studied. We introduce a HalpernIshikawa type algorithm for studying the split common fixed point and null point problem for Lipschitzian $J$quasi pseudocontractive operators and maximal monotone operators in real Banach spaces. Moreover, we establish a strong convergence results under some suitable conditions and reduce our main result to the abovementioned problems. Finally, we applied the study to split feasibility problem (FEP), split equilibrium problem (SEP), split variational inequality problem (SVIP) and split optimization problem (SOP).
0

1827
1853


Uko
Jim
Department of Mathematics, University of Uyo, P. M. B. 1017, Uyo, Nigeria
Iran
ukojim@uniuyo.edu.ng


Donatus
Igbokwe
Department of Mathematics, University of Uyo, P. M. B. 1017, Uyo, Nigeria
Iran
igbokwedi@yahoo.com
Split common fixed point problem
split common null point problem
$J$quasi pseudocontractive operators
Maximal monotone operators
HalpernIshikawa type algorithm
1

Using the wavelet analysis to estimate the nonparametric regression model in the presence of associated errors
https://ijnaa.semnan.ac.ir/article_5816.html
10.22075/ijnaa.2022.5816
1
The wavelet shrink estimator is an attractive technique when estimating the nonparametric regression functions, but it is very sensitive in the case of a correlation in errors. In this research, a polynomial model of low degree was used for the purpose of addressing the boundary problem in the wavelet reduction in addition to using flexible threshold values in the case of Correlation in errors as it deals with those transactions at each level separately, unlike the comprehensive threshold values that deal with all levels simultaneously, as (Visushrink) methods, (False Discovery Rate) method, (Improvement Thresholding) and (Sureshrink method), as the study was conducted on real monthly data represented in the rates of theft crimes for juveniles in Iraq, specifically the Baghdad governorate, and the risk ratios about those crimes for the years 20082018, with a sample size of (128) (Sureshrink) The study also showed an increase in the rate of theft crimes for juveniles in recent years.
0

1855
1862


Mohmmed Salh
AbduAlkareem Mahdi
Ministry of Interior, Directorate of Human Recourses, Iraq
Iran
mohmmed.salh1201@coadec.uobaghdad.edu.iq


Saad
Hamza
Department of Statistics, College of Administration and Economics University of Baghdad, Baghdad, Iraq
Iran
saad.hamza@coadec.uobaghdad.edu.iq
1

Numerical and experimental performance evaluation of upgraded knee braces under cyclic load
https://ijnaa.semnan.ac.ir/article_5817.html
10.22075/ijnaa.2021.24890.2845
1
In this paper, the seismic performance of the structure is analyzed by introducing a new angular knee element. Cyclic loads are applied to determine the seismic performance. The result is compared with a vertical knee element. The angular knee element showed better seismic performance as compared to the vertical knee element. The new short knee element studied in two positions including 1 a vertical knee element perpendicular to crossbrace is called VSKE 2 An angular knee element that is called ASKE. Using reduced knee section specimens for better performance. Effect of Angular knee element in kneebraced frames (KBFs) under Cyclic Loading was investigated by testing using a half scale specimen mounted on a reaction frame at two positions including horizontally for VSKE and inclined for ASKE. For experimental tests, specimens were loaded by using a hydraulic actuator. Finite element modelling was used for the simulation of detailed behavior using a verified experiment base model. It has been shown that the performance of knee element fuses can improve the ductile behavior of knee braced frames. Based on the results of vertical and angular cases, it has been shown that an increase of angle between main cross brace and short knee element (incline specimen) can reduce maximum equivalent plastic strain (EPEQ) in the web of knee element fuse.
0

1863
1872


Iraj
Gholami Alam
Department of Civil Engineering, Faculty of Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran.
Iran
ronaldhernandezvasquez.edu.pe@gmail.com


M
Safi
Department of Civil Engineering, Faculty of Water and Environmental Engineering, Shahid Beheshti University, Tehran, Iran.
(Corresponding author
Iran
m_safi@sbu.ac.ir


E
Darvishan
Department of Civil Engineering, Faculty of Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran.
Iran
e.darvishan@gmail.com
Knee element
Fuse
CyclicLoading
Plastic Deformation
Brace
Numerical modelling
1

Estimation of parameter for the Pareto distribution based on right censoring
https://ijnaa.semnan.ac.ir/article_5819.html
10.22075/ijnaa.2022.5819
1
In this paper, we found the estimation of the unknown parameter $delta$ when $vartheta$ is a known parameter in the Pareto distribution. First, we get the maximum probability estimators(MLEs) for unknown parameters. We have obtained the Bayes Estimators of unknown parameter $delta$ using Lindley's approximation. A Monte Carlo simulation is performed and used a programming language R to compare the performance of the method used, and the data set was analyzed for illustration purposes.
0

1873
1877


Rana
Hasan Shamkhi
Department of pharmacognosy and medicinal plants, University of Basrah, Iraq
Iran
rana.jbr.sci@uobasrah.edu.iq


Wisam
Ghafil
Department of Mathematics, College of Education for Pure Sciences, University of ThiQar, ThiQar, Iraq
Iran
wisam.kamil@utq.edu.iq


Aseel
Ali Jaaze
Department of pharmacognosy and medicinal plants, University of Basrah, Iraq
Iran
aseel.jaaze@uobasrah.edu.iq
Estimation Pareto distribution
right censoring
1

A survey of $mathcal{C}$class and pair upperclass functions in fixed point theory
https://ijnaa.semnan.ac.ir/article_5820.html
10.22075/ijnaa.2021.21162.2239
1
We demonstrate that the $mathcal{C}$class functions, pair $(h,f)$ upperclass functions, cone $mathcal{C}$class functions, $11$ upclass functions, multiplicative $mathcal{C}$class functions, inverse$mathcal{C}$class functions, $mathcal{C}_{F}$simulation functions, $mathcal{C}^{*}$class functions are powerful and fascinating weapons for the generalization, improvement, and extension of considerable conclusions obtained in the fixed point theory. Towards the end, we point out some open problems whose answers could be interesting.
0

1879
1896


Arslan
Hojat Ansari
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Iran
analsisamirmath2@gmail.com


Anita
Tomar
Government Degree College Thatyur (Tehri Garhwal) Uttarakhand, India
Iran
anitatmr@yahoo.com


Meena
Joshi
S. G. R. R. (P. G.) College Dehradun, India
Iran
joshimeena35@gmail.com
C−class
pair upper class
upclass
multiplicative C−class
inverse−C−class
1

An evolutionary game competitive model for increasing accuracy and maximizing influence in social networks
https://ijnaa.semnan.ac.ir/article_5821.html
10.22075/ijnaa.2021.22669.2398
1
Given the importance of maximizing influence in a social network, studies in this field often seek to find the nodes that have the most influence on the social network if designated as primary seeds. In this study, to reduce the complexity of computation algorithms, the problem is divided into several groups that aim to find a group of influential people among users of a social network. In this paper, a framework is introduced for solving the problem of influence maximization, which is based on the member clustering by the K means method, to improve the classification of network users, the data are weighted and the problem is modeled and analyzed as an evolutionary game. Finally, calculate its evolutionary stable strategy. This framework has been tested on real social network data for Abrar University students and we have achieved results such as increasing classification accuracy, reducing error function and finding a stable strategy in the community.
0

1897
1907


Saeedeh
Noori
Department of Mathematics and Computer Science, Shahed University, Tehran, Iran
Iran
saeedehnoori00@gmail.com


Hamidreza
Navidi
Department of Mathematics and Computer Science, Shahed University, Tehran, Iran
Iran
navidi@shahed.ac.ir


Reza
Bakhtiari
Department of Computer Science, Shahed University, Tehran, Iran
Iran
reza.bakhtiari@shahed.ac.ir
Social network
Influence maximization
Distinction factor
Kmeans clustering
Evolutionary stable strategy
1

Counting of Conjugacy classes in partial transformation semigroup.
https://ijnaa.semnan.ac.ir/article_5822.html
10.22075/ijnaa.2021.24082.2666
1
J.Koneiczny in [8] introduced the new notion $sim_{n}$ notion of conjugacy in semigroups. In this paper, we count the number of conjugacy classes in Partial Transformation semigroup $mathcal{P}(A)$ for an infinite set $A$ with respect to $sim_{n}$ notion of conjugacy.
0

1909
1915


Aftab
Shah
Department of Mathematics, Central University of Kashmir, Ganderbal191201, India
Iran
aftab@cukashmir.ac.in


Mohd
Parray
Department of Mathematics, Central University of Kashmir, Ganderbal191201, India
Iran
parrayrafiq@cukashmir.com


Dilawar
Mir
Department of Mathematics, Central University of Kashmir, Ganderbal191201, India
Iran
mirjunaid@cukashmir.ac.in
Conjugacy
Diagraph
Double Ray
Cycle set
Chain
1

Optimal values range of interval polynomial programming problems
https://ijnaa.semnan.ac.ir/article_5828.html
10.22075/ijnaa.2021.23797.2611
1
Uncertainty exists in many reallife engineering and mechanical problems. Here, we assume that uncertainties are caused by intervals of real numbers. In this paper, we consider the interval nonlinear programming (INLP) problems where the objective function and constraints include interval coefficients. So that the variables are deterministic and signrestricted. Additionally, the constraints are considered in the form of inequalities. A basic task in INLP is calculating the optimal values range of objective function, which may be computationally very expensive. However, if the boundary functions are available, the problems become much easier to solve. By making these assumptions, an efficient method is proposed to compute the optimal values range using two classic nonlinear problems. Then, the optimal values range are obtained by direct inspection for a special kind of interval polynomial programming (IPP) problems. Two numerical examples are given to verify the effectiveness of the proposed method.
0

1917
1929


Somayeh
Amirmahmoodi
Mathematics Faculty, University of Sistan and Baluchestan, Zahedan, Iran
Iran
amirmahmoodis@yahoo.com


Hassan
Mishmast Nehi
Mathematics Faculty, University of Sistan and Baluchestan, Zahedan, Iran
Iran
hmnehi@hamoon.usb.ac.ir


Mehdi
Allahdadi
Mathematics Faculty, University of Sistan and Baluchestan, Zahedan, Iran
Iran
m_allahdadi@math.usb.ac.ir
Interval uncertainty
Interval nonlinear programming
Optimal values range
Interval polynomial
Boundary functions
1

Analysis of generic science skills in prospective biology teacher students
https://ijnaa.semnan.ac.ir/article_5834.html
10.22075/ijnaa.2022.5834
1
The learning process of blood coagulation practicum for circulatory system material in Biology Education students aims to determine the ability of generic science skills. Descriptive method used in this study with research subjects consisted of 58 6th semester students. Data were obtained using essay tests. Achievement of generic science skills in students is focused on five aspects of generic science skills with research results that show, direct observation 98.83% (very good), symbolic language 38.79% (very poor), modeling 90.95% (very good), logical inference 39.51 % (very little), logic framework 94.90% (very very), with an overall average yield (75.6%) in the medium category. this generic science ability is still needed intensive guidance to increase shn for prospective teacher students biology.
0

1931
1935


Rinandita
Wikansari
International Trade for ASEAN and China Region, Politeknik APP Jakarta, Indonesia.
Iran


Suhardi
Napid
Department of Mechanical Engineering, Faculty of Engineering Universitas Islam Sumatera Utara, Indonesia.
Iran


J.
Junaidi
Department of Mechanical Engineering, Faculty of Engineering Universitas Islam Sumatera Utara, Indonesia.
Iran


Wahyu
Andryanto
UPN Veteran Jakarta , Jakarta, Indonesia.
Iran


S.
Susilo
Department of Biology Education, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta Timur, Indonesia.
Iran
susilo@uhamka.ac.id
Generic Science Skills
Blood Coagulation, Candidate Teacher
1

A research level of efficiency treatment of Covid19 using data envelopment analysis
https://ijnaa.semnan.ac.ir/article_5835.html
10.22075/ijnaa.2022.5835
1
Coronavirus Disease 2019 (Covid19) is a collection of viruses that can infect the respiratory system. This virus only causes mild respiratory infections, such as the flu. The process of handling Corona infection patients is indeed much different from other disease patients. Covid19 can cause various symptoms in its sufferer. These symptoms depend on the type of corona virus that attacks, and how serious the infection is. The design of this application uses DFD and ERD modeling which is built using the webbased PHP programming language and uses a MySQL database. The assessment of the efficiency level of COVID19 was carried out in one of the provinces in Indonesia, namely in the province of Aceh, using samples from 12 existing hospitals. All the hospitals that we have taken data every day will continue to increase and decrease. This application is built using the Data Envelopment Analysis (DEA) method, where the search process is determined by the lindo software. The input criteria in this application are suspected patients, probable patients, confirmed patients, and patients being treated. While the output of this application is the patient recovers, and the patient dies. All the data we get is real data that we get directly from the hospital and the results are confirmed via the Internet. All calculation processes use predetermined formulas. The computational result obtained from the DEA CCR Model on the 8 DMUs is 1, it is the gain from dividing the output variable by the input variable, then the results obtained from 8 DMUs are efficient and 4 DMUs are inefficient.
0

1937
1947


Dahlan
Abdullah
Department of Informatics, Universitas Malikussaleh, Aceh, Indonesia.
Iran
dahlan@unimal.ac.id


.Anif
Farida
Department of Agriculture, Universitas Muhammadiyah Sorong, Indonesia.
Iran


Sri
Pudjiastuti
STKIP Arrahmaniyah Depok, Jawa Barat, Indonesia
Iran


Eka
Harimurti
Department of English Language Education, STKIP Kusuma Negara, Indonesia.
Iran


A.
Arifudin
Department of Electrical Engineering, Universitas 17 Agustus 1945 Cirebon, Indonesia.
Iran
Data Envelopment Analysis
Efficiency
COVID19
Hospital
1

Palm leaf nutrient deficiency detection using convolutional neural network (CNN)
https://ijnaa.semnan.ac.ir/article_5836.html
10.22075/ijnaa.2022.5836
1
Palm oil, scientifically known as Elaeis guineensis, is a rapidly growing commercial sector in Southeast Asia with a diverse economic composition. Palm oil plantations are crucial in economic activities and growth, as they generate employment in managing the palm oil quality. However, the lack of nutrients can affect the growth and quality of the crops. The manual detection of palm leaf nutrient deficiency can be one of the challenges as the visual symptoms of the deficiency demonstrate a similar representation. Thus, in this study, the palm leaf nutrient deficiency detection using Convolutional Neural Network (CNN) is proposed. CNN or ConvNet is a branch of deep neural networks in Deep Learning that is commonly used in analysing images and has proven to produce better feature extraction from dataset. A total of 350 images of healthy leaf and six types of palm leaf nutrient deficiency are Nitrogen, Potassium, Magnesium, Boron, Zinc, and Manganese were tested. The application of CNN to a variety of testing datasets returned good detection accuracy at 94.29%. It can be deduced that the proposed implementation of CNN for palm leaf nutrient deficiency detection is found to be successful. Nonetheless, the number of datasets could be increased in the future to improve the detection performance.
0

1949
1956


Shafaf
Ibrahim
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia
Iran
shafaf2429@uitm.edu.my


Noraini
Hasan
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia
Iran
norainihasan@uitm.edu.my


Nurbaity
Sabri
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia
Iran
nurbaity_sabri@uitm.edu.my


Khyrina
Abu Samah
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia
Iran
khyrina783@uitm.edu.my


Muhamad
Rahimi Rusland
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia
Iran
rahimirusland97@gmail.com
Palm leaf
Nutrient deficiency
Detection
Convolutional Neural Network (CNN)
1

Convexity in Gmetric spaces and approximation of fixed points by Mann iterative process
https://ijnaa.semnan.ac.ir/article_5837.html
10.22075/ijnaa.2021.21435.2259
1
In this paper, we first define the concept of convexity in Gmetric spaces. We then use Mann iterative process in this newly defined convex Gmetric space to prove some convergence results for some classes of mappings. In this way, we can extend several existence results to those approximating fixed points. Our results are just new in the setting.
0

1957
1964


Isa
Yildirim
Department of Mathematics, Faculty of Science, Ataturk University, Erzurum, 25240, Turkey
Turkey
isayildirim@atauni.edu.tr


Safeer
Khan
Department of Mathematics, Statistics and Physics, Qatar University, Doha 2713, Qatar
Qatar
safeer@qu.edu.qa
Convex structure
Convex Gmetric space
Mann iterative process
convergence
1

Selection of green suppliers with the approach of integrating economic, environmental and social decisions (Case study of Sazeh Gostar Saipa Photovoltaic Company)
https://ijnaa.semnan.ac.ir/article_5838.html
10.22075/ijnaa.2021.25153.2930
1
Supply chain network design is one of the key issues in strategic chain planning that refers to the supply chain network configuration and as an infrastructure issue in its management, will have lasting effects on other tactical and operational decisions. In other words, the proper design of the supply chain network leads to the achievement of an optimal structure, which makes effective and competitive supply chain management possible. In this study, a problem of selecting a green supplier in terms of sustainability, under uncertainty based on three economic, environmental and social responsibility dimensions are studied by a case study of Sazeh Gostar Saipa Photovoltaic Company active in the pv industry. One of the environmental dimensions of the problem is the design of an efficient and flexible model for evaluating and selecting suppliers based on environmental indicators. One of the features of the proposed model is the use of environmental criteria in the process of selecting a green supplier and also the flexibility of the model in the number of subcriteria. In this research, the theory of Rough sets has been used to find the weight of subenvironmental criteria. The obtained results confirm the efficiency of the multiobjective mathematical planning model in this research in evaluating suppliers and also using the theory of Rough sets to weight environmental indicators to achieve the above objectives.
0

1965
1975


Bahman
Cimyari
Department of Industrial Engineering, Yazd University, Yazd, Iran
Iran
bahman13455@yahoo.com


Mohammad Ali
Vahdat
Department of Industrial Engineering, Yazd University, Yazd, Iran
Iran
drmohammadalivahdat@gmail.com


Ahmad
Sadeghieh
Department of Industrial Engineering, Yazd University, Yazd, Iran
Iran
sadegheih@yazd.ac.ir


Yahya
Zare Mehrjerdi
Department of Industrial Engineering, Yazd University, Yazd, Iran
Iran
yzare@yazd.ac.ir
there objective green supply chain network
Uncertainty
Environment
Social responsibility
PV industry
1

Fish diseases detection using convolutional neural network (CNN)
https://ijnaa.semnan.ac.ir/article_5839.html
10.22075/ijnaa.2022.5839
1
The fishing industry has become an important income source in the world. However, fish diseases are considered a serious problem among the fishermen as it tends to spread quickly through the water. In decades, fish diseases have been diagnosed manually by the naked eyes of experienced fish farmers. Despite being timeconsuming since some lab works are required in determining the relevant microorganisms that cause the diseases, this classical method most often leads to an inaccurate and misleading result. Accordingly, a fast and inexpensive method is therefore important and desirable. Convolutional Neural Network (CNN) performance has recently been demonstrated in a variety of computer vision and machine learning problems. Thus, a study on fish diseases detection using CNN is proposed. A total of 90 images of healthy leaf and two types of fish diseases which are White spot and Red spot was tested. The application of CNN to a variety of testing datasets returned good detection accuracy at 94.44%. It can be inferred that the CNN is relatively good in detecting and classifying the type of diseases among infected fishes. Regardless, a study with a better number of datasets could be done in the future to improve the detection performance.
0

1977
1984


Noraini
Hasan
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia
Iran
norainihasan@uitm.edu.my


Shafaf
Ibrahim
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia
Iran
shafaf2429@uitm.edu.my


Anis
Aqilah Azlan
Try Smart Bite Sdn Bhd, The Vertical Business Suite (A2807), Bangsar South, No 8, Jalan Kerinchi, 59200 Kuala Lumpur, Malaysia
Iran
aqilahanisazlan@gmail.com
Fish diseases
Detection
Classification
Convolutional Neural Network (CNN)
1

Optimizing order picker problem using dynamic programming method
https://ijnaa.semnan.ac.ir/article_5840.html
10.22075/ijnaa.2022.5840
1
The order picking problem is one of the key elements in warehouse management. The challenge increases during the new norm when orders can be made by going to the shop and also via online that results in high uncertainty in order volume. Despite that, customer expectation remains on fast delivery which requires the selling organizations to be able to provide fast and efficient service to meet the demand from customers. In achieving this, among the contributing factors is efficient warehouse management especially in order picking, storage assignment, sufficient resource allocation, adequate manpower handling and proper tasking allocation. Thus, in this paper, a model for order picking is modified by considering the limited picking capacity of the Order Pickers (OP), the Sshaped route in the warehouse plan and the need for complete order (all demanded items are picked). The modified model is adapted as a Dynamic Programming problem with the objective of minimizing the time taken (through minimizing distance travelled) in picking each order. The results show that testing with a set of secondary data, the modified model shows a reduction of 24.19% in travel distance compared to using Shortest Path Problem (SPP) and Traveling Salesman Problem (TSP). At the same time, the application of the modified model using the real data shows a reduction of 11.6% in the travelled distance as well as more quality task allocation among the OPs.
0

1985
1998


Noraimi
Azlin Mohd Nordin
Department of Mathematics, Faculty of Computer & Mathematical Sciences, University Teknologi MARA, Cawangan Negeri Sembilan, Kampus Seremban, 70300 Seremban
Iran
noraimi@uitm.edu.my


S. Sarifah
Radiah Shariff
Malaysia Institute of Transport (MITRANS), University Teknologi MARA, 40450 Shah Alam, Malaysia
Iran
shari990@uitm.edu.my


Mohd
Omar
Institute of Mathematical Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia
Iran
mohd@um.edu.my


Siti
Suzlin Supadi
Institute of Mathematical Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia
Iran
suzlin@um.edu.my
Order picking
Dynamic Programming
shortest path
warehouse routing
inner warehouse transportation
1

Near fixed point, near fixed interval circle and their equivalence classes in a $b$interval metric space
https://ijnaa.semnan.ac.ir/article_5841.html
10.22075/ijnaa.2021.21721.2291
1
We introduce a novel distance structure called a b−interval metric space to generalize and extend metric interval space. Also, we demonstrate that the collection of open balls, which forms a basis of a b−interval metric space, generates a T0−topology on it. Further, we define topological notions like an open ball, closed ball, b−convergence, b−Cauchy sequence and completeness of the space on a b−interval metric space to create an environment for the survival of a near fixed point and a unique equivalence class of near fixed point. Towards the end, we introduce notions of interval circle, fixed interval circle, its equivalence class and established the existence of a near fixed interval circle and its equivalence interval C−class of near fixed interval circle to study the geometric properties of nonunique equivalence C−classes of nearly fixed interval circles.
0

1999
2014


Meena
Joshi
S. G. R. R. (P. G.) College Dehradun, India
Iran
joshimeena35@gmail.com


Anita
Tomar
Sri Dev Suman Uttarakhand Vishwavidyalay, Pt. L. M. S. Campus Rishikesh 249201, Uttarakhand, India
Iran
anitatmr@yahoo.com
continuity
b−convergence
Completeness
fixed interval circle
null set
T0−topology
1

Effect of financial literacy and risk aversion on the relationship between selfcontrol and financial security of individual investors in Tehran Stock Exchange
https://ijnaa.semnan.ac.ir/article_5879.html
10.22075/ijnaa.2021.24417.2738
1
Capital markets play an important role in the economy and naturally, the proper functioning of the capital market will play a key role in ensuring economic growth. So, if capital markets are efficient, economic development will be ensured. On the other hand, since the Iranian stock market is currently very popular among investors, it is undoubtedly important to examine the behavioral biases of individual investors. Therefore, in this study, the effect of positive selfcontrol behavioral bias on financial security was investigated with the moderating role of financial literacy and risk aversion of individual investors. For this purpose, the statistical population consisted of individual investors, traders and brokers of Tehran Stock Exchange who are directly participating in the market. Also, the statistical sample was calculated to be 421 using Cochran’s formula. A structural equation model using PLS method was used to analyze the data. The results showed that the selfcontrol variable has a significant positive effect on risk aversion and financial security. Also, by using the financial literacy variable as a moderating variable, the intensity of the relationship between selfcontrol and financial security of individual investors increases; that is, the financial literacy of individual stock market investors intensifies the positive relationship between selfcontrol and security of their financial behavior. In addition, by using risk aversion as moderating variable, the intensity of the relationship between selfcontrol and financial security of individual investors is reduced. This means that the risk aversion of individual stock market investors reduces the positive relationship between selfcontrol and the security of their financial behavior.
0

2015
2024


Manizheh
Mohammadi
Department of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
Iran
mohammadi_manizheh@yahoo.com


Arash
Naderian
Department of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
Iran
arashnaderian@yahoo.com


Majid
Ashrafi
Department of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
Iran
mjd_ashrafi@yahoo.com


Jamadori
Gorganli Doji
Department of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
Iran
jgorganli@yahoo.com
Behavioral finance
selfcontrol
financial security
financial literacy
risk aversion
1

Nonlinear contractions via auxiliary functions and fixed point results with some consequences
https://ijnaa.semnan.ac.ir/article_5880.html
10.22075/ijnaa.2021.22017.2315
1
In this manuscript, we bring into play the essence of a new class of auxiliary functions, $C$class functions, and exhibited some fixed point results. Notably, in this draft, we come up with the idea of modified $mathcal{Z}_F$contractions and enquire the existence and uniqueness of fixed points of such operators in the framework of $theta $metric spaces. Concerning the interpretation of the achieved results, some nontrivial examples are also studied. From obtained theorems, we derive several related fixed point results in usual metric spaces and $theta $metric spaces.
0

2025
2042


Ankush
Chanda
Department of Mathematics, Vellore Institute of Technology, Vellore, India
Iran
ankushchanda8@gmail.com


Lakshmi
Dey
Department of Mathematics, National Institute of Technology Durgapur, India
Iran
lakshmikdey@yahoo.co.in


Arslan
Ansari
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Iran
analsisamirmath2@gmail.com
Fixed point
$C$class function
$mathcal{Z}_{F}$contraction
modified $mathcal{Z}_F$contraction
1

A meshfree radial basis function method for nonlinear phifour equation
https://ijnaa.semnan.ac.ir/article_5890.html
10.22075/ijnaa.2021.22670.2399
1
Radial basis function pseudospectral method is applied to obtain the solution for nonlinear Phifour time dependant equation with nonhomogeneous initial and boundary conditions. In this method, the efficient pseudospectral technique is combined with radial basis function to get the best of it. In the proposed method, the radial basis kernels are used to discretize the space derivatives in the Phifour equation where as a time stepping technique is used to accord with the temporal part of the solution. The given Phifour equation is transformed into a set of ordinary equations. An ode solver is used to solve the ordinary equations. An effective approach is used to choose the value of the shape parameter for radial basis function. Numerical results are presented to check the validity and accuracy of the method to solve the Phifour equation.
0

2043
2052


Geeta
Arora
Department of Mathematics, Lovely Professional University, Phagwara, Punjab, India
Iran
geetadma@gmail.com


Gurpreet
Bhatia
Department of Mathematics, Lovely Professional University, Phagwara, Punjab, India
Iran
gurpreetsidakbhatia@gmail.com
Meshfree
Radial basis function
nonlinear Phifour equations
Shape parameter
1

A realtime forest fire and smoke detection system using deep learning
https://ijnaa.semnan.ac.ir/article_5899.html
10.22075/ijnaa.2022.5899
1
Large parts of the world's forests are threatened by fires. These fires happen continuously every month around the globe. They are very costly to society and cause serious damage to the ecosystem. This raises the necessity to build a detection system to intervene early and take action. Fire and smoke have various colours, textures, and shapes, which are challenging to detect. In the modern world, neural networks are used extensively in most fields of human activities. For the detection of fire and smoke, we suggest a deep learning technology using transfer learning to extract features of forest fire and smoke. We used a pretrained InceptionResNetv2 network on the ImageNet dataset to be trained on our dataset which consists of 1,102 images for each fire and smoke class. The classification accuracy, precision, recall, F1Score, and specificity were 99.09%, 100%, 98.08%, 99.09%, and 98.30%, respectively. This model has been deployed on a Raspberry Pi device with a camera. For realtime detection, we used the Open CV library to read the camera stream frame by frame and predict the probability of fire or smoke.
0

2053
2063


Raghad
K. Mohammed
Department of Basic Sciences, College of Dentistry, University of Baghdad, Baghdad, Iraq
Iran
raghad_meme@codental.uobaghdad.edu.iq
Convolutional Neural Networks
Deep learning
object detection
smoke detection
fire detection
Transfer learning
1

Mathematical modeling of diffusion problem
https://ijnaa.semnan.ac.ir/article_5901.html
10.22075/ijnaa.2019.18118.1989
1
This work aims to introduce a numerical approximation procedure based on an operational matrix of block pulse functions, which is employed in solving integralalgebraic equations arising from the diffusion model. It is known that the integralalgebraic equations belong to the class of singular problems. The main advantage of this method is the reduction of these singular systems by using an operational matrix to linear lower triangular systems of algebraic equations, which is nonsingular. An estimation of the error and illustrative instances are discussed to evaluate the validity and applicability of the presented method.
0

2065
2073


Maryam
salemi
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Iran
maryam.salemi@gmail.com


Maryam
Attary
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Iran
maryam.attari@kiau.ac.ir
Integralalgebraic equations
Diffusion model
Singular systems
Numerical treatment
1

Theoretical approaches and special cases for a single machine with release dates to minimize four criterion
https://ijnaa.semnan.ac.ir/article_5904.html
10.22075/ijnaa.2022.5904
1
We propose a multiobjective machine scheduling problem (MSP) in this study. The sum of total flow time, total tardiness, total earliness, and total late work is the topic under discussion. With an arbitrary release date, This paper offers a theoretical analysis, discussion, and proofs for a number of special instances that apply to our topic.
0

2075
2085


Omar
Daowd
Department of Mathematics, College of Sciences, AlMustansireah University, Baghdad, Iraq
Iran
omarmaysan@yahoo.com


Hanan
Chachan
Department of Mathematics, College of Sciences, AlMustansireah University, Baghdad, Iraq
Iran
hanomh@uomustansiriyah.edu.iq


Hazim
Daway
Department of Mathematics, College of Sciences, AlMustansireah University, Baghdad, Iraq
Iran
hazimdo@uomustansiriyah.edu.iq
Multiobjective problems ( MOP )
single machine release date
1

A general solution of some linear partial differential equations via two integral transforms
https://ijnaa.semnan.ac.ir/article_5905.html
10.22075/ijnaa.2022.5905
1
In this paper, a new analytical method is introduced to find the general solution of linear partial differential equations. In this method, each Laplace transform (LT) and Sumudu transform (ST) is used independently along with canonical coordinates. The strength of this method is that it is easy to implement and does not require initial conditions.
0

2087
2093


Asmaa
Aswhad
College of Education for Pure Sciences/ Ibn Al Haithem, University of Baghdad, Baghdad, Iraq
Iran
asmaa.a.a@ihcoedu.uobaghdad.edu.iq


May
Helal
College of Education for Pure Sciences/ Ibn Al Haithem, University of Baghdad, Baghdad, Iraq
Iran
may.m@ihcoedu.uobaghdad.edu.iq
Sumudu transform
Laplace transform
Linear partial differential equations
canonical coordinates
1

A novel scheme for solving multidelay fractional optimal control problems
https://ijnaa.semnan.ac.ir/article_5906.html
10.22075/ijnaa.2021.22885.2428
1
In this paper, we consider the problems of suboptimal control for a class of fractionalorder optimal control problems with multidelay argument. The fractional derivative in these problems is in the Caputo sense. To solve the problem, first by a suitable approximation, we replace the Caputo derivative to integer order derivative. The optimal control law consists of an accurate linear feedback term and a nonlinear compensation term which is the limit of an adjoint vector sequence, is obtained by a sensitivity approach. The feed back term is determined by solving Riccati matrix differential equation. By using a finite sum of the series, we can obtain a suboptimal control law. Finally, numerical results are included to demonstrate the validity and applicability of the present technique.
0

2095
2113


Seyed Mehdi
Alizamini
Department of Mathematics, Payame Noor University (PNU), Tehran, Iran
Iran
mirhosseini.alizamini@gmail.com
Delay optimal control problems
Fractional order
Riccati differential equation
Caputo deriavitive
1

Predicting of infected People with Corona virus (covid19) by using NonParametric Quality Control Charts
https://ijnaa.semnan.ac.ir/article_5907.html
10.22075/ijnaa.2022.5907
1
Quality control Charts were used to monitor the number of infections with the emerging corona virus (Covid19) for the purpose of predicting the extent of the disease's control, knowing the extent of its spread, and determining the injuries if they were within or outside the limits of the control charts. The research aims to use each of the control chart of the (Kernel Principal Component Analysis Control Chart) and (K Nearest Neighbor Control Chart). As (18) variables representing the governorates of Iraq were used, depending on the daily epidemiological position of the Public Health Department of the Iraqi Ministry of Health. To compare the performance of the charts, a measure of average length of run was adopted, as the results showed that the number of infection with the new Corona virus is out of control, and that the (KNN) chart had better performance in the short term with a relative equality in the performance of the two charts in the medium and long rang
0

2115
2126


Heba
Fawzy
Department of statistics, college of administration and Economics, University of Baghdad, Iraq
Iran
almaroofhiba@gmail.com


Asmaa
Ghalib
Department of statistics, college of administration and Economics, University of Baghdad, Iraq
Iran
dr.asmaa.ghalib@coadec.uobaghdad.edu.iq
Quality Control
Control Charts
Average Length of Range
Nearest Neighborhood
Kernel Principal Components Analysis
1

A new Jackknifing ridge estimator for logistic regression model
https://ijnaa.semnan.ac.ir/article_5908.html
10.22075/ijnaa.2022.5908
1
In reducing the effects of collinearity, the ridge estimator (RE) has been consistently demonstrated to be an attractive shrinkage method. In application, when the response variable is binary data, the logistic regression model (LRM) is a wellknown model. However, it is known that collinearity negatively affects the variance of maximum likelihood estimator of the LRM. To address this problem, a logistic ridge estimator was proposed by several authors. In this work, a Jackknifing logistic ridge estimator (NJLRE) is proposed and derived. The Monte Carlo simulation results recommend that the NJLRE estimator can bring significant improvement relative to other existing estimators. Furthermore, the real application results demonstrate that the NJLRE estimator outperforms both LRE and MLE in terms of predictive performance.
0

2127
2135


Nawal
Hammood
Department of management Information systems, College of Administration and Economics, University of Mosul, Mosul, Iraq.
Iran
nawal.mahmood72@gmail.com


Zakariya
Algamal
Department of Statistics and Informatics, University of Mosul, Mosul, Iraq.
Iran
zakariya.algamal@uomosul.edu.iq
Collinearity
Jackknife estimator
ridge estimator
logistic regression model
Monte Carlo simulation
1

The estimation process in the Bayesian quantile structural equation modeling approach
https://ijnaa.semnan.ac.ir/article_5909.html
10.22075/ijnaa.2022.5909
1
latent variable models define as a wide class of regression models with latent variables that cannot be directly measured, the most important latent variable models are structural equation models. Structural equation modeling (SEM) is a popular multivariate technique for analyzing the interrelationships between latent variables. Structural equation models have been extensively applied to behavioral, medical, and social sciences. In general, structural equation models includes a measurement equation to characterize latent variables through multiple observable variables and a mean regression type structural equation to investigate how the explanatory latent variables affect the outcomes of interest. Despite the importance of the structural equations model, it does not provide an accurate analysis of the relationships between the latent variables. Therefore, the quantile regression method will be presented within the structural equations model to obtain a comprehensive analysis of the latent variables. we apply the quantile regression method into structural equation models to assess the conditional quantile of the outcome latent variable given the explanatory latent variables and covariates. The posterior inference is performed using asymmetric Laplace distribution. The estimation is done using the Markov Chain Monte Carlo technique in Bayesian inference. The simulation was implemented assuming different distributions of the error term for the structural equations model and values for the parameters for a small sample size. The method used showed satisfactorily performs results.
0

2137
2149


Balsam
Shafeeq
Technical College of Management, Baghdad, Middle Technical University, Iraq
Iran
balsammustafa95@mtu.edu.iq


Lekaa
Mohamed
College of Administration and Economics, Department of Statistics, University of Baghdad, Iraq
Iran
lekaa.a@coadec.uobaghdad.edu.iq
Bayesian inference
latent variable models
structural equations model
Quantile Regression
1

Analysis of central bank policies and supervision tools on financial stability in the Iranian banking system
https://ijnaa.semnan.ac.ir/article_5910.html
10.22075/ijnaa.2021.25052.2900
1
The purpose of this article is to analyze the policies and regulatory tools of the Central Bank on financial stability in the Iranian banking system . The method of analysis is descriptive  survey . Data were collected through interviews with experts . The validity and reliability of the research tool were confirmed by marketing professors and experts . Data analysis  using software Lisrel Done . Seven main influential factors from the perspective of experts, which include; Ratio of noncurrent receivables to total payment facilities (NP) , Cash reserves in assets  bank (CR) , Capital adequacy (AC) , The real exchange rate (RER) , Liquidity (LY) , Leverage (DA) , Atbardakhly paid by banks to the private sector  and (DCP) Was agreed upon by them . Test results KMO That sufficient sample  properly selected . Bartlett's test of sphericity also at the level of 99 percent, which shows a significant correlation  in the community is not zero . That is, the seven factors studied had a significant impact on the financial stability of the banking system . Also, the results of varimax rotation of seven factors showed that their eigenvalues are higher than one . Products of factor loadings higher than 35/0 are . In order to confirm homogeneity Of items  forming any of the scale in terms of content and infrastructure of the fivefactor confirmatory factor analysis on the causes  were carried out . To evaluate the model  factor analysis identified several characteristics fitness There is . In the present article, the ratio of chisquare or chisquare to the ratio of freedom (x 2 / df) Root mean square residue  Display RMR As well as a good fit index GFI And the adjusted value of the fitness index for the degree of freedom AFGIWas used . Results showed that all the characteristic elegance at an acceptable level were significantly  have given  in this letter with the factor structure of this scale is a good fit and statements  this scale are consistent with the underlying structures .
0

2151
2162


Ala
Asgharzadeh
Faculty of Management and Accounting, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Iran
alaasgharzadeh@gmail.com


Farhad
Rahbar
Faculty of Economics, Tehran University, Tehran, Iran
Iran
frahbar@ut.ac.ir


Mir
Mousavi
Faculty of Social and Economics, AlZahra University, Tehran, Iran
Iran
mhmusavi@alzahra.ac.ir
Financial stability
Regulatory Policies and Instruments
Central Bank
1

Continuity in fuzzy topological spaces
https://ijnaa.semnan.ac.ir/article_5911.html
10.22075/ijnaa.2022.5911
1
In this paper, we introduce and characterize the notion of fuzzy continuous functions and fuzzy homeomorphic topological spaces of fuzzy subspaces. Fuzzy base and fuzzy sub base for a fuzzy topology in fuzzy spaces were also introduced and discussed.
0

2163
2169


Mohammed
Marashdeh
Faculty of Mathematics and Statistics, Mutah University, AlKarak, Jordan
Iran
marashdeh@mutah.edu.jo
Fuzzy space
fuzzy topology
fuzzy function
fuzzy homeomorphism
1

Effectiveness of new algorithms for facial recognition based on deep neural networks
https://ijnaa.semnan.ac.ir/article_5912.html
10.22075/ijnaa.2022.5912
1
The applications of image classification occupied a wide field in the recognition of faces using the Convolutional Neural Network (CNN) with the mathematical aspect of deep learning based on the MATLAB program. This is not only facial recognition, but also recognizing the parts of the face, eye, mouth, and nose after designing programs in addition to the new algorithms with the theory of CascadeObjectDetector and trainCascadeObjectDetector. The benefit of this work emerges in the areas of security, airports, markets, and so on.
0

2171
2178


Shahad
Laith
Department of Applied Science, University of Technology, Baghdad, Iraq
Iran
as.18.29@grad.uotechnology.edu.iq


Fouad
Tahir
Department of Applied Science, University of Technology, Baghdad, Iraq
Iran
11015@uotechnology.edu.iq


Asma
Abdulrahman
Department of Applied Science, University of Technology, Baghdad, Iraq
Iran
asma.a.abdulrahman@uotechnology.edu.iq
Convolutional
Neural Networks
Face Detection
MATLAB
eyes
mouth
nose
Deep learning
1

Efficient image encryption via chaotic hight algorithm
https://ijnaa.semnan.ac.ir/article_5914.html
10.22075/ijnaa.2022.5914
1
This paper is devoted to introducing a new three dimensions hyperchaotic system and adapting it to enhance the Hight algorithm. The proposal hyperchaotic system with one equilibrium point is mainly derived from the Lorenz system, which we called (3DNSC). The dynamic analysis of 3DNSC presents some properties such as; stability of symmetric equilibria; phase diagram, bifurcation and Lyapunov exponents (LE), which are all investigated analytically and numerically. Also, the circuit design of the 3DNSC is introduced with some properties. The proposed system is occupied with improving the Hight algorithm. The main propose system is to create a key schedule for the chaotic Hight algorithm. This system is then applied to encrypt different images types. Our proposed system showed high encryption efficiency compared to systems, based on some performance analyzes such as; histogram, pixel change rate (NPCR), standardized variable mean intensity (UACI), pixel correlation, and entropy.
0

2179
2194


Woud
Abed
Department of Basic Sciences, College of Dentistry, University of Baghdad, Iraq
Iran
wood.majid@codental.uobaghdad.edu.iq
Chaotic System
Hyperchaotic
Image encryption
Hight algorithm
Circuit Design
1

The bifurcation analysis of an epidemiological model involving two diseases in predator
https://ijnaa.semnan.ac.ir/article_5915.html
10.22075/ijnaa.2022.5915
1
In this paper, the local bifurcation conditions that occur near each of the equilibrium points of the ecoepidemiological system of one prey population apparition with two diseases in the same population of predator have been studied and analyzed, near $E_1,E_2,E_3,E_4$ and $E_5$, a transcritical bifurcation can occur, a saddlenode bifurcation happened near $E_5$. Pitchfork bifurcation was occurrences at $E_2,E_3,E_4$ and $E_5$. Moreover conditions for Hopf bifurcation was studied near both of one disease stable point $E_3, E_4$ and $E_5$ . About elucidation of the status of local bifurcation the associated of the set of hypothetical parameters with numerical results which assert our analytical results of this model.
0

2195
2217


Atheer
Kadhim
Department of Applied Science, University of Technology, Iraq
Iran
atheer.j.kadhim@uotechnology.edu.iq


Azhar A.
Majeed
Department of Mathematics, College of Science, University of Baghdad, Baghdad, Iraq
Iran
azhar_abbas_m@scbaghdad.ed
Ecoepidemiological model
Local Bifurcation
Hopfbifurcation
SIS disease
SI disease
Sotomayor's theorem
1

Forms of $varpi$continuous functions between bitopological spaces
https://ijnaa.semnan.ac.ir/article_5917.html
10.22075/ijnaa.2022.5917
1
The paper introduces the concepts of $varpi$strongly (resp., $varpi$closure, $varpi$weakly) form of continuous functions on bitopological spaces, furthermore, we introduce theorems, characterizing on the class of functions, show how it can be studied from a different point of view.
0

2219
2225


Adwea
Atewi
Institute of Medical Technology AlMansour, Middle Technical University, Baghdad, Iraq
Iran
adweanaji@mtu.edu.iq


Bushra
Sweedan Naseer
Institute of Medical Technology, AlMansour, Middle Technical University, Baghdad, Iraq
Iraq
bushrasewdan@gmail.com


Safaa
Ali
Institute of Medical Technology AlMansour, Middle Technical University, Baghdad, Iraq
Iran
safajawad1970@gmail.com


Muataz
Harhoosh
Institute of Medical Technology AlMansour, Middle Technical University, Baghdad, Iraq
Iran
muataz_adnan@mtu.edu.iq
$varpi$strongly continuous
$varpi$closure continuous
$varpi$weakly continuous
bitopological spaces
1

Generalization of Rangaig transform
https://ijnaa.semnan.ac.ir/article_5919.html
10.22075/ijnaa.2022.5919
1
In this paper, a generalized form of the known Rangaig integral transform has been proposed; the general integral form is presented as a new integral transform called the ``general Rangaig integral transform''. The General Rangaig integral transform has been studied and proven for some fundamental functions, its applicability and ability to find the exact solution have been proven via utilizing the transform in solving first and secondorder ordinary differential equations.
0

2227
2231


Eman
Mansour
Department of Electrical Technologies, Southern Technical University, Technical Institute Nasiriyah, Iraq
Iran
iman.am73@stu.edu.iq


Emad A.
Kuffi
Department of Material Engineering, Collage of Engineering, AlQadisiyah University, Iraq
Iran
emad.abbas@qu.edu.iq
Integral transforms
Rangaig transform
Inverse of Rangaig transform
Ordinary differential equations
Partial differential equations
1

Optimizing the axial distance of the nozzle to the engine shell to cool the maximum fluid flow
https://ijnaa.semnan.ac.ir/article_5922.html
10.22075/ijnaa.2021.25256.2974
1
The purpose of this paper is to obtain the optimal axial distance from the nozzle to the motor shell for suction of the maximum flow rate of the cooling fluid. Given that there is no laboratory data to evaluate numerical analysis, an attempt was made to validate the numerical coefficient of the NACA0012 blade lift by numerical method to validate the numerical method and compare it with its existing laboratory results. As you can see from the results, the distance between the nozzle and the motor has a very small effect on the cooling flow. In fact, this shows that with the changes in axial distance in the mentioned range (between 0 and 2.5 cm), the amount of suction caused by the hot jet of the hot nozzle output of the nozzle has a very small effect on the cooling flow. To check the suction rate of the nozzle output jet on the cooling flow rate, the problem for different discharge nozzles is numerically analyzed to see how much the effect of the nozzle output fluid on the cooling fluid discharge flow is. The coolant flow of the Flow rate engine nozzle does not change much. This factor indicates that the flow rate of the engine coolant flow is mostly due to the pressure of the coolant itself and does not depend on the suction jet of the nozzle output. In this section, the effect of increasing the length of the engine shell on the cooling rate of the engine cooling is discussed. In this analysis, the shell length was increased by 6.5 cm. The increase in shell length is done with a constant diameter. As the shell length increased, the cooling flow rate increased significantly. As the shell length increases, the cooling flow rate increases by about 52% at the relative inlet pressure of 15,000 Pascals. Keywords: nozzle, engine shell, Flow rate suction, cooling.
0

2233
2243


Sajad
Rastad
Department of Mechanical Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran
Iran
rastadsajad@yahoo.com


Seyed Amir Abbas
Oloomi
Department of Mechanical Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran
Iran
amiroloomi@iauyazd.ac.ir


Seyed Ali Agha
Mirjalily
Department of Mechanical Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran
Iran
saa_mirjalily@iauyazd.ac.ir


Abolfazl
ZareShahabadi
Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran
Iran
abzare@tvu.ac.ir
Nozzle
Engine Shell
Flow Rate Suction
Cooling
1

Deep convolutional neural network classified the PNEUMONIA and Coronavirus diseases (COVID19) by softmax nonlinearity function
https://ijnaa.semnan.ac.ir/article_5923.html
10.22075/ijnaa.2022.5923
1
A deep learning powerful models of machine learning indicated better performance as precision and speed for images classification. The purpose of this paper is the detection of patients suspected of pneumonia and a novel coronavirus. Convolutional Neural Network (CNN) is utilized for features extract and it classifies, where CNN classify features into three classes are COVID19, NORMAL, and PNEUMONIA. In CNN updating weights by CNN backpropagation and SGDM optimization algorithms in the training stage. The performance of CNN on the dataset is a combination between Chest XRay dataset (1583NORMAL images and 4272PNEUMONIA images) and COVID19 dataset (126images) for automatically anticipate whether a patient has COVID19 or PNEUMONIA, where accuracy 94.31% and F1Score 88.48% in case 60% training, 20% testing, and 20% validation.
0

2245
2251


Mali H. Hakem
Alameady
Department of Computer Science, Faculty of Computer Science and Maths, University of Kufa, Najaf, Iraq
Iran
maali.alameedi@uokufa.edu.iq


Maryim
Mosa
Department of Computer Science, Faculty of Computer Science and Maths, University of Kufa, Najaf, Iraq
Iran
maryimo.alkuzaay@student.uokufa.edu.iq


Amir
Aljarrah
Department of Computer Science, Faculty of Computer Science and Maths, University of Kufa, Najaf, Iraq
Iran
amir.aljarrah@student.uokufa.edu.iq


Huda
Razzaq
Department of Computer Science, Faculty of Computer Science and Maths, University of Kufa, Najaf, Iraq
Iran
hudasaleem.hs93@gmail.com
Deep learning
Convolutional Neural Network
and Coronavirus Disease (COVID19)
1

Novel solitons through optical fibers for perturbed cubicquinticseptic nonlinear Schr"{o}dingertype equation
https://ijnaa.semnan.ac.ir/article_5924.html
10.22075/ijnaa.2022.5924
1
The current analysis employs the Riccati and modified simple equation methods to retrieve new optical solitons for highly dispersive nonlinear Schrodingertype equation (NLSE). With cubicquinticseptic law (also known as a polynomial) of refractive index and perturbation terms having cubic nonlinearity, 1optical solitons in the form of hyperbolic, periodic, and rational are derived. the two schemes offer an influential mathematical tool for solving NLSEs in various areas of applied sciences.
0

2253
2266


Emad
AzZobi
Department of Mathematics and Statistics, Faculty of Science, Mutah University, AlKarak, Jordan
Jordan
eaaz2006@mutah.edu.jo


Ahmed
Alleddawi
Department of Mathematics and Statistics, Faculty of Science, Mutah University, AlKarak, Jordan
Iran
ahmedo.k.alleddawi@gmail.com


Islam
Alsaraireh
Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin (UniSZA), Kuala Terengganu, Malaysia
Iran
i.alsaraireh@seu.edu.sa


Mustafa
Mamat
Preparatory Year, Saudi Electronic University, Abha, Kingdom of Saudi Arabia
Iran
must@unisza.edu.my


Fawwaz
Wrikat
Department of Mathematics and Statistics, Faculty of Science, Mutah University, AlKarak, Jordan
Iran
fawwri@mutah.edu.jo


Lanre
Akinyemi
Department of Mathematics, Lafayette College, Easton, Pennsylvania, USA
Iran
akinyeml@lafayette.edu


Hadi
Rezazadeh
Faculty of Engineering Technology, Amol University of Special Modern Technologies, Amol, Iran
Iran
rezazadehadi1363@gmail.com
Conformable derivative
Riccati simple equation method
Modified simple equation method
Optical soliton solutions
1

Maximum likelihood for fuzzy pure spatial autoregressive model
https://ijnaa.semnan.ac.ir/article_5925.html
10.22075/ijnaa.2022.5925
1
This paper deals with the study about the formulation of spatial regression models for independent and dependent fuzzy variables, while the parameters crisp values, which are estimated by the maximum likelihood method. In this paper, has been formulated Fuzzy Pure Spatial Autoregressive Model (FPSAM) from the 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.
0

2267
2277


Jaufar
Mohammed
Department statistics, College Administration and Economics, University of Kirkuk, Kirkuk, Iraq
Iran
jaufar@uokirkuk.edu.iq


Ammer
Tawfeeq
Department statistics, College Administration and Economics, University of Kirkuk, Kirkuk, Iraq
Iran
asas1964@uokirkuk.edu.iq


Maysoon
Aziz
Department Mathematics, College Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq
Iran
aziz_maysoon@uomosul.edu.iq
Fuzz spatial regression models
fuzzy pure spatial
autoregressive model
centroid method
1

Refinements of HermiteHadamard inequality for $F_h$convex functions on time scales
https://ijnaa.semnan.ac.ir/article_5928.html
10.22075/ijnaa.2022.5928
1
In this paper, new improvements, refinements and extensions to show that an $F_h$convex function on time scales satisfies HermiteHadamard inequality is given in several directions. Examples and applications are as well provided to further support the results obtained.
0

2279
2292


Fagbemigun
Opeyemi
Research Group in Mathematics and Applications, Department of Mathematics, University of Lagos, Lagos, Nigeria
Iran
opeyemifagbemigun@gmail.com


Adesanmi
MOGBADEMU
Research Group in Mathematics and Applications, Department of Mathematics, University of Lagos, Lagos, Nigeria
Iran
amogbademu@unilag.edu.ng
$F_h$convex
HermiteHadamard
time scales
dynamic model
1

Nearly locally hollow modules
https://ijnaa.semnan.ac.ir/article_5929.html
10.22075/ijnaa.2022.5929
1
Let $R$ be a commutative ring with identity and let $M$ be an Rmodule. This study presents the nearly locally hollow module that's a strong form of a hollow module. We present that an $R$module $M$ is nearly locally hollow if M has a unique semimaximal submodule that contains all small submodules of $M$. The current study deals with this class of modules and gives several fundamental properties related to this concept.
0

2293
2301


Nada
Abdullah
Department of Mathematics, College of Education for Pure Science, University of Tikrit, Tikrit, Iraq
Iran
nada.khalid@tu.edu.iq
Nearly locally hollow module
$R$module
submodule
hollow module
1

Discussion on delay Bessel’s problems
https://ijnaa.semnan.ac.ir/article_5930.html
10.22075/ijnaa.2022.5930
1
This paper presents the delay Bessel's problem, and therefore the basic definitions, theorems, applications, and corollaries will be reviewed during this paper.
0

2303
2306


Anmar
Jasim
Department of Mathematics, College of Science, Mustansiriyah University, Iraq
Iran
dr.anmar@uomustansiriyah.edu.iq


Batool
AlBaram
Department of Mathematics, College of Science, Mustansiriyah University, Iraq
Iran
batoolalbaram@gmail.com
Eventually positive
eventually negative
oscillatory
Bessel's problem
1

Some properties of fuzzy soft $mathfrak{n} widetilde{mathcal{N}}$ quasi normal operators
https://ijnaa.semnan.ac.ir/article_5931.html
10.22075/ijnaa.2022.5931
1
In this work, we invested a kind of fuzzy soft quasinormal operator namely fuzzy soft $mathfrak{(n}widetilde{mathcal{N}})$quasinormal operator this modification of fuzzy soft bounded linear quasinormal operator appear in recently many papers. Some properties and operation about this operator have been given, also more conditions given to get some theorems in this study.
0

2307
2314


Jaafer Hmood
Eidi
Department of Mathematics, College of Education, Mustansiriyah University, Baghdad, Iraq
Iran
drjaffarmath@uomustansiriyah.edu.iq


Salim Dawood
Mohsen
Department of Mathematics, College of Education, Mustansiriyah University, Baghdad, Iraq
Iran
salim78@uomustansiriyah.edu.iq
fuzzy soft bounded linear operator
Fuzzy soft Quasi normal operator
fuzzy soft $mathfrak{(n }widetilde{mathcal{N}})$ quasi normal operator
fuzzy soft Hilbert space
1

The bifurcation diagram of an elliptic $P$Kirchhofftype problem with respect to the stiffness of the material
https://ijnaa.semnan.ac.ir/article_5847.html
10.22075/ijnaa.2021.25226.2960
1
We study a superlinear and subcritical $p$Kirchhofftype problem which is variational and depends upon a real parameter $lambda$. The nonlocal term forces some of the fiber maps associated with the energy functional to have two critical points. This suggests multiplicity of solutions, and indeed, we show the existence of alocal minimum and a mountain passtype solution. We characterize the first parameter $lambda_{0}^{*}$ for which the local minimum has nonnegative energy when $lambda geq lambda_{0}^{*}$. Moreover, we characterize the extremal parameter $lambda^{*}$ for which if $lambda > lambda^{*}$; then, the only solution to the$p$Kirchhoff problem is the zero function. In fact, $lambda^{*}$ can be characterized in terms of the best constant of Sobolev embeddings. We also study the asymptotic behavior of the solutions when $lambdadownarrow 0$
0

2315
2331


Hava
Fani
Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran,
Babolsar, Iran
Iran
minafani71@gmail.com


Ghasem
Afrouzi
Department of Mathematics, Faculty of Mathematical Sciences,
University of Mazandaran, Babolsar, Iran
Iran
afrouzi@umz.ac.ir


S.H.
Rasouli
Department of Mathematics, Faculty of Basic sciences, Babol Noshirvani University of Technology, Babol, Iran
Iran
s.h.rasouli@nit.ac.ir
Nehari Manifold
Variational methods
Extremal parameter
pKirchhoff
Young’ s modulus
Stiffness
1

Using some methods to estimate the parameters of the Multivariate Skew Normal (MSN) distribution function with missing data
https://ijnaa.semnan.ac.ir/article_5932.html
10.22075/ijnaa.2021.5932
1
The estimation of statistical parameters for multivariate data can lead to wasted information if the missing values are neglected, which in return will lead to inaccurate estimates, therefore the incomplete data must be estimated using one of the statistical estimation methods to obtain accurate results and thus obtaining good estimates for the parameters. Missing values is considered one of the most important problems that researchers encounter and the most common, and in the case of the multivariate skew normal distribution (MSN) the presence of this problem will lead to weak and misleading conclusions for the research, which calls for treating this problem and in return obtaining efficient and convincing results. The aim of this paper is to estimate the missing values for the multivariate skew normal distribution function using the Knearest neighbors Imputation (KNN). After estimating the missing values, the parameters are estimated using Genetic Algorithm (GA), and the Bayesian Approach was also used to estimate the missing values and find the estimates for the parameters. Using simulation, the Mean Squared Error (MSE) was calculated to find out which method is the best for estimation by comparing the two methods using different sample sizes (400, 600, and 800). The (GA) that is based on the (KNN) algorithm to estimate the missing values proved to be better and more efficient than the Bayesian Approach in terms of the results.
0

2333
2350


Qutaiba
Nayef AlQazaz
University of Baghdad ,College of Administration & Economics, Statistics Department, Iraq
Iran
dr.qutaiba@coadec.uobaghdad.edu.iq


Lina
Shawkat
University of Baghdad ,College of Administration & Economics, Statistics Department, Iraq
Iran
lola1990@yahoo.com
Multivariate Skew Normal distribution (MSN)
KNearest Neighbors Imputation (KNN)
Genetic Algorithm (GA)
Bayesian Approach
Mean Squared Error (MSE)
1

Structural reliability analysis using the thirdmoment and Downhill simplex technique
https://ijnaa.semnan.ac.ir/article_5933.html
10.22075/ijnaa.2022.5933
1
The concept of structural reliability analysis presented a methodology used to verify the efficiency of an engineering structure in the design and experimentation stage to provide support for a more balanced design between structural integrity and the requirements for it, because it combines probabilistic and statistical techniques with science in the specialized field through the regular and harmonic use of analytical tools, in addition to empirical data available. This is done by calculating the probability of structural failure because it is a measure of how well the studied design works according to the resistance factors (components) on which it depends and strength (operational conditions). There are several techniques used to analyse reliability and compute the probability of structural failure, and among those techniques is the thirdmoment technique based on the firstorder reliability method. In this paper, the researcher proposes the development of the thirdmoment technique using the Downhill Simplex algorithm, the proposed technique was applied to a numerical example, and it was highly efficient compared to the original thirdmoment technique.
0

2351
2362


Lamia
Dawod
College of Health and Medical Technology, Baghdad, Middle Technical University, Iraq
Iran
lamiaadawod@gmail.com


Entsar
Fadam
College of Administration and Economics, Department of Statistics, University of Baghdad, Iraq
Iran
entsar_arebe@coadec.uobaghdad.edu.iq
structural reliability
Probability of structural failure
thirdmoment
Downhill Simplex
1

The bifurcation analysis of an ecological model involving SIS disease with a prey refuge
https://ijnaa.semnan.ac.ir/article_5934.html
10.22075/ijnaa.2022.5934
1
This paper deals with an epidemiological system with stagestructured, harvesting and refuge for only prey, the disease of type (SIS) is just in the immature of the prey. The sufficient conditions guaranteeing the occurrence of local bifurcation and the Hopf bifurcation for the system are obtained. Further, the validity of our main results was demonstrated by numerical analysis.
0

2363
2378


Azhar
Majeed
Department of mathematics, College of Science, University of Baghdad, Baghdad, Iraq
Iran
azharalthabeti2017@gmail.com


Zina
Alabacy
Department of Control and Systems Engineering, University of Technology, Baghdad, Iraq
Iran
zina.k.alabacy@uotechnology.edu.iq
Epidemiological Model
Preypredator model
Local Bifurcation
Hopf Bifurcation
1

The fractional moments of shifted power law distribution by Caputo definition
https://ijnaa.semnan.ac.ir/article_5935.html
10.22075/ijnaa.2022.5935
1
In this paper, the shifted power low distribution is studied in the direction of Fractioned moment. This type of distribution is a generalization for standard power low distributions. In this study, the fractional definition of Caputo is used to generalize the fractional moments of the maintained type of distribution to get a closed useful form.
0

2379
2383


Rifaat
AbdulJabbar
Department of Mathematics, College of Science, University of Anbar, Iraq
Iran
drrifaat1974@uoanbar.edu.iq
Fractional moment
Caputo definition
Shifted power law distribution functions
Fourier Transform
1

Estimation of exponential Pareto parameters
https://ijnaa.semnan.ac.ir/article_5936.html
10.22075/ijnaa.2022.5936
1
In this paper, we simulated the methods of estimation of Pareto exponential distribution parameters, using various experiments including default parameter values (0.5, 1, 5), sample sizes (10,250,100), and Iterations (D = 1000). The Maximum likelihood method and the standard Bayes method were used with informative prior distribution (Gamma distribution) and the noninformation prior distribution (Uniform distribution), and symmetric loss function (quadratic loss function), and asymmetric (General Entropy loss function). The Bayes method gave complex mathematical formulas that were solved by Lindley approximation. The results of the simulation experiments showed the advantage of the standard Bayes method in the information prior and the quadratic loss function.
0

2385
2394


Suhair
Ismail
Middle Technical University, Institute of Administration Al Russafa, Baghdad, Iraq
Iran
suhair_k_ismail@yahoo.com


Shrook
ALSabbah
Department of Statistics, Administration and Economics College, Kerbala University, Iraq
Iran
shrookalsabah1968@gmail.com


Shaima
Moahammed
University of Misan, College of Administration and Economic, Misan, Iraq
Iran
shaymamahod@uomisan.edu.iq


Montazer
Nassif
Department of Statistics, Administration and Economics College, Kerbala University, Iraq
Iran
montazermustafanassif1994@gmail.com


Eqbal
Ramadan
Department of Statistics, Administration and Economics College, Kerbala University, Iraq
Iran
eqbalqassim@gmail.com
exponential Pareto distribution
Maximum likelihood
standard Bays method
Lindley approximation
1

Comparative study of two cases of singlephase HCMLI using IPDPWM technique for standalone PV system
https://ijnaa.semnan.ac.ir/article_5940.html
10.22075/ijnaa.2022.5940
1
The main aim of the paper is to reduce the Total Harmonic Distortion of a 9level Hybrid Cascaded Multilevel Inverter for a standalone Photovoltaic system operated at Maximum powerpoint. The maximum power point is tracked using perturb and observe (P&O) method, a boost converter is used to implement this process. The output power is calculated using a small perturbation in the terminal voltage. The comparison between two cases of hybrid cascaded multilevel inverter using Phase Disposition Pulse Width Modulation has been done. Total harmonic distortion is minimized when one bridge is run in square wave mode and the other bridges are operated in pulse width modulation mode, according to the results of this comparison. The value of THD for HMLI output voltage is equal to 12.85 percent when all bridges are operated in PWM mode, according to simulation results. Finally, the results of the computer simulations using the MATLAB software are presented and discussed, along with a comparison of pulse width modulation strategies.
0

2395
2409


Massara
Yahya
Medical Instruments Technology Engineering Department, ALEsraa University College, Baghdad, Iraq
Iran
massra@esraa.edu.iq


Mawadah
Yahya
Computer technology engineering, Al Salam University College, Baghdad, Iraq
Iran
mawadah.g.yahya@alsalam.edu.iq
Hybrid Cascaded Multilevel Inverter
Phase Disposition Pulse Width Modulation
Photovoltaic system
Maximum Power Point Tracking
Perturb and observe method
Total Harmonic Distortion
1

Recommendation enginesneural embedding to graphbased: Techniques and evaluations
https://ijnaa.semnan.ac.ir/article_5941.html
10.22075/ijnaa.2022.5941
1
The goal of any profit organization is to bolster its revenue by providing useful suggestions to its customer base. In order to achieve this, vast research is being undertaken by companies such as Netflix and Amazon on their Recommendation Systems and providing users with choices, they are most likely to click on. The purpose of this paper is to provide a holistic view of types of Recommendation Engines and how they are implemented, scaled and can provide a basis for revenue generation. The focus would be to implement a Recommendation Engine on PySpark using the ALS (Alternate Least Square) method. Besides, Neo4j and Cypher query language for implementing recommendations on a graph database and analyzing how heterogeneous information can be levied to tackle the infamous cold start problem in recommender engines would be explored. The dataset used for analysis is the Grouplens 100K Movielens dataset and the algorithm is implemented to best fit the dataset. Further, an indepth comparison of several techniques has been carried out on the basis of different metrics, hyperparameter selection and the number of epochs used. The claims have been justified by evaluating the performance of the model depending on the different use cases, thus aiding in predictive analytics of the movie, as per the interest of the customer using visualization tools.
0

2411
2423


Ali
Akbar
Department of Computer science and Engineering, Jamia Hamdard, New Delhi, India
Iran
aliakbar392@gmail.com


Parul
Agarwal
Department of Computer science and Engineering, Jamia Hamdard, New Delhi, India
Iran
pagarwal@jamiahamdard.ac.in


Ahmed
Obaid
Faculty of Computer Science and Mathematics, University of Kufa, Iraq
Iran
ahmedj.alajanaby@uokufa.edu.iq
collaborative filtering
contentbased filtering
popularitybased filtering
recommender system
Neural Networks
1

Bayesian inference of fractional brownian motion of multivariate stochastic differential equations
https://ijnaa.semnan.ac.ir/article_5944.html
10.22075/ijnaa.2022.5944
1
There have been much interest in analysis of stochastic differential equation with long memory, represented by fractional diffusion process, this property have been proved itself in financial mathematic as intrinsic character of financial time series, so finding an appropriate method for estimate and analyze stochastic differential equations with long memory is a very important contemporary topic, in this paper we suggest a method for a system of stochastic differential equations with long memory, also we use the Bayesian methodology to incorporate the advanced knowledge , in addition we apply renormalized integral known in literature as WickIt^{o}Skorohod to solve problem of arbitrage in stochastic models (which yield inefficient mathematical stochastic models for financial market), some of conventional methods like quasi maximum likelihood , Separable IntegralMatching for Ordinary Differential Equations, and multivariate Brownian method are used to be compared with the suggested method. The suggested method has been proved to be very accurate. The estimated model used to calculate the portfolio of assets quantities allocation.
0

2425
2454


Qutaiba
Nauef AlQazaz
Department of Statistics, University of Baghdad, Iraq
Iran
dr.qutaiba@coadec.uobaghdad.edu.iq


Ahmed
Ali
Department of Statistics, University of Baghdad, Iraq
Iran
ahmedj.alkhuzai@student.uokufa.edu.iq
Fractional Brownian motion
Stochastic Differential Equations
Maximum likelihood
Prior distribution
Metropolis Hasting method
Hurst index
Langevin method
1

LiuType estimator in gamma regression model based on (r(kd)) class estimator
https://ijnaa.semnan.ac.ir/article_5945.html
10.22075/ijnaa.2022.5945
1
It is known that when the multicollinearity exists in the gamma regression model, the variance of maximum likelihood estimator is unstable and high. In this article, a new Liutype estimator based on (r(kd)) class estimator in gamma regression model is proposed. The performance of the proposed estimator is studied and comparisons are done with others. Depending on the simulation and real data results in the sense of mean squared error, the proposed estimator is superior to the other estimators.
0

2455
2465


Ahmed
Algboory
College of Physical Education and Sport Sciences, University of Samarra, Salah Aldeen, Iraq
Iran
ahmed.mo@uosamarra.edu.iq


Zakariya
Algamal
Department of Statistics and Informatics, University of Mosul, Iraq
Iran
zakariya.algamal@uomosul.edu.iq
Liutype estimator
gamma regression model
(r(kd)) class estimator, (r  d) class estimator
(r  k) class estimator
(k  d) class estimator
1

Estimate the location matrix of a multivariate semiparametric regression model when the random error follows a matrixvariate generalized hyperbolic distribution
https://ijnaa.semnan.ac.ir/article_5946.html
10.22075/ijnaa.2022.5946
1
The matrixvariate generalized hyperbolic distribution is heavytailed mixed continuous skewed probability distribution. This distribution has multi applications in the field of economics, risk management, especially in stock modeling.This paper includes the estimate of the location matrix $theta$ for the multivariate partial linear regression model, which is one of the multivariate semiparametric regression models when the random error follows a matrixvariate generalized hyperbolic distribution in the Bayesian technique depending on noninformative and informative prior information, estimating the location matrix under balanced and unbalanced loss function and the shape parameters ($lambda ,psi ,nu $), skewness matrix ($delta $), the scale matrix $(Sigma)$ are known. In addition, estimation the smoothing parameter by a proposed method depending on the rule of thumb, the proposed kernel function depending on the mixed Gaussian kernel. the researchers concluded when noninformative and informative prior information is available that the posterior probability distribution for the location matrix $theta$ is a matrixvariate generalized hyperbolic distribution, through the experimental side, it was found that the proposed kernel function is overriding than the Gaussian kernel function in estimate the location matrix and under informative prior information.
0

2467
2482


Sarmad Abdulkhaleq
Salih
Statistician at the Nineveh Agriculture Directorate, Mosul, Iraq
Iran
hsarmad012@gmail.com


Emad Hazim
Aboudi
Nineveh Agriculture Directorate, Mosul, Iraq.
Iran
dr.emad.aboudi@gmail.com
Multivariate Partial Linear Regression Model
matrixvariate generalized hyperbolic distribution
Kernel functions
Smoothing Parameter
Bayesian technique
1

Estimating the survival and risk functions of a loglogistic distribution by using order statistics with practical application
https://ijnaa.semnan.ac.ir/article_5947.html
10.22075/ijnaa.2022.5947
1
The LogLogistic distribution is one of the important statistical distributions as it can be applied in many fields ( biological, chemical and physical experiments) and its importance comes from the importance of determining the survival and risk function for these experiments. The research will work to determine the characteristics of the distribution through the use of order statistics to estimate its parameters using the approved standard Bayes method On the squared loss function (Bayslf) and determining the optimal method by comparing it with the MLE method according to a simulation method by taking different models for default values for parameter and different sample sizes and with MSE, IMSE comparison criteria as well as applying it to real data for breast cancer patients and determine survival and risk function
0

2483
2502


Samah
Hassan
College of Administration and Economics, Department of Statistics, University of Baghdad, Iraq
Iran
samahsabah1993@gmail.com


Entsar
Fadam AL.Doori
College of Administration and Economics, Department of Statistics, University of Baghdad, Iraq
Iran
entsar_arebe@coadec.uobaghdad.edu.iq
survival function
risk function
LogLogistic distribution
Maximum likelihood estimation
Bays estimation
Lindley approximation
order statistics
1

Analyze the strengths and weaknesses invested in the Arvand free zone impact indexesconvenience province
https://ijnaa.semnan.ac.ir/article_5953.html
10.22075/ijnaa.2021.24759.2821
1
In recent decades, free zones have been proposed as an effective lever for the growth and improvement of countries' economies. These zones can play an irreplaceable role in this direction as one of the axes of attracting capital. Identifying opportunities and threats to attract capital in free zones, Removing barriers, creating and providing a suitable platform for attracting domestic and foreign investors, are effective factors in investing in free zones, which in turn lead to economic growth and development of these areas. Considering the significant effects of free zones on the welfare of residents in these areas, the purpose of this study was to investigate the effect of effective factors of domestic and foreign investment in the Arvand Free Zone on economic welfare indicators (per capita income, unemployment rate and inflation) in Khuzestan province. During the period 13851396, which at first, while obtaining the opinions of 40 managers, experts and residents of the region in order to formulate appropriate strategies and strategies to achieve the goals of creating the region based on the potential and advantages for domestic and foreign investment, using From the technique (SWOT), we identify the factors affecting the indoor and outdoor environment in order to discover the strengths and weaknesses (internal factors) and threats and opportunities (external factors) and then using the model method to explain with a break Extensive (ARDL) The effect of domestic and foreign investment in the region on welfare indicators in Khuzestan province is examined. The results of this study in the first part of the analysis (SWOT), show that the most important opportunities in the development of free trade zone based on maximum investment attraction, respectively, the strategic geographical location of the Arvand Free Zone and the use of regional markets. The results of this study in the second part showed that according to the current conditions of the domestic investment region, it has had stronger effects on welfare indicators than foreign investment.
0

2503
2525


Seyed Ahmad
Hossini
Department of Economics, Microeconomics, Kerman Branch, Islamic Azad University, Kerman, Iran
Iran
s.phd2020@gmail.com


Seye Adabdolmajid
Jalayi
Department of Economics, Microeconomics, Shahid Bahonar University of Kerman, Kerman, Iran
Iran
jalaee@uk.ac.ir


Mohsen
Zayandeh Rudi
Department of Economics, Microeconomics, Kerman Branch, Islamic Azad University, Kerman, Iran
Iran
m_roody2000@yahoo.com
investment
Arvand Free Zone
Welfare Indicators
Khuzestan
1

INGinduced topology from tritopological space on a locally finite graph
https://ijnaa.semnan.ac.ir/article_5954.html
10.22075/ijnaa.2022.5954
1
The aim of this article is to associate a tritopological space with a locally finite graph, and induce a new type of topology from three wellknown topologies on the same locally finite graph. These are the three tritopologies proposed recently to associate topological spaces with undirected graphs, the first (Independent Topology), the second is (NonIncidence Topology) and the third is (Graphic Topology). Then some results and properties of these tritopological spaces and new induced topologies were investigated. Giving a fundamental step toward studying some properties of locally finite graphs by their corresponding tritopological spaces is our motivation.
0

2527
2533


Asmhan
Hassan
Department of Mathematics, Faculty of Education for Girls, University of Kufa, Iraq
Iran
asmhanf.alzuhairy@uokufa.edu.iq


Sundus
Jabir
Department of Mathematics, Faculty of Education for Girls, University of Kufa, Iraq
Iran
sundusn.alamiry@uokufa.edu.iq


Alaa Mohammed
Redha Abdulhasan
Department of Law, Faculty of Law, The Islamic University, 54001 Najaf, Iraq
Iran
alaa.m.r99917@gmail.com
locally finite graphs
Tritopological spaces
Independent Topology
NonIncidence Topology
Graphic Topology
1

Design and construction solar steam sterilizer
https://ijnaa.semnan.ac.ir/article_5955.html
10.22075/ijnaa.2022.5955
1
Doctors, especially surgeons in remote areas, need help to overcome the problem of transmission of infection resulting from the repeated use of surgical instruments without sterilization, and that is why researchers sought to find solutions. This study presented a design and model made for a lowcost solar sterilizer. It relied on benefits from the glasshouse properties to generate the wet steam that was required for sterilization at a temperature of $121.1^{circ} C $ and a pressure of 2.1 bar inside an aluminium pressure cylinder that was placed inside an insulated chamber, whose dimensions were 50 cm wide, 30 cm high, and 93 cm deep. Its front face was made of 10 mmthick thermal glass. The top face was used as a frame for fixing the cylinder. The outer surface of the cylinder was coated with matte black paint to increase heat absorption. The model was tested in the absence of surgical equipment using half a litre of pure water, and it took 128 minutes to achieve steam with the properties necessary for sterilization. The test started when the temperature of the water inside the cylinder was 56.1°C. In climatic conditions in which the average intensity of solar radiation was 903 W/mtextsuperscript{2} and the average ambient temperature was 34°C. Then the performance was tested with the presence of 1.2 kg of instruments. The presence of the surgical instruments increased the time required to achieve the temperature and pressure required for sterilization by 25.78%. And to increase the thermal enablement of the system, reflective panels were placed to reflect the solar radiation towards the surface of the cylinder. This procedure achieved a 6.2% reduction in the time required for the sterilization requirement for steam. The tests were conducted over several days and under different conditions, each achieving the necessary steam for sterilization.
0

2535
2547


Mohammed
Hassan Abbood
Mechanical Engineering Department, College of Engineering, University of Kerbala, Karbala, Iraq
Iran
mohammed.hassan@uokerbala.edu.iq


Farhan
Rashid
Petroleum Engineering Department, College of Engineering, University of Kerbala, Karbala, Iraq
Iran
farhan.lefta@uokerbala.edu.iq


Mohammed
Jassim
Mechanical Engineering Department, College of Engineering, University of Kerbala, Karbala, Iraq
Iran
mohammed.jasim@s.uokerbala.edu.iq
Solar Energy
Solar autoclave
Solar steam sterilization
1

Increase the income based on partner selection to reduce bankruptcy risk by mathematical model and solve it by genetic algorithm
https://ijnaa.semnan.ac.ir/article_5956.html
10.22075/ijnaa.2021.24456.2748
1
One of the goals of financial institutions is to strengthen the economic infrastructure in developing the financial sphere. In this regard, financial institutions should take the necessary planning to increase their incomes, and if they do not pay attention, the consequences can be predicted for this group of economic activists Increasing income and reducing the risk of bankruptcy are among the most important goals for financial institutions and enterprises. Therefore, considering the increase of income and the integration approach based on the selection of partners in the field of banking, this paper presents a mathematical model based on reducing the risk of bankruptcy. The multiobjective genetic algorithm method has been used to solve and optimize the model. The proposed method was implemented on real data related to ten Iranian banks and the results led to the formation of a financial firm with a combination of banks to maximize the income and minimize the bankruptcy risk.
0

2549
2560


Amir Abass
Shojaei
Department of Industrial Engineering, South Tehran Branch. Islamic Azad University, Tehran, Iran
Iran
amirabbas.shojaei13@gmail.com


Mousaa
Azarbad
Department of Industrial Engineering, South Tehran Branch. Islamic Azad University, Tehran, Iran
Iran
azarbad.mousaa1400@gmail.com


Farshid
Abdi
Department of Industrial Engineering, South Tehran Branch. Islamic Azad University, Tehran, Iran
Iran
fa_ie@yahoo.com


Vahidreza
Ghezavati
Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Iran
v_ghezavati@azad.ac.ir


Kaveh
Khalili Damghani
Department of Industrial Engineering, South Tehran Branch. Islamic Azad University, Tehran, Iran
Iran
kaveh.khalili@gmail.com
Income
Financial Institutions
Types of Risks
Genetic algorithm
1

Sombor index of some graph operations
https://ijnaa.semnan.ac.ir/article_5957.html
10.22075/ijnaa.2022.5957
1
One of the vertexdegree based topological indices is Sombor index which is denoted by $SO(G)$, and defined by $SO(G)=sum_{uv in E(G)}sqrt{d_u^2+d_v^2}$ where $d_u, d_v$ are the degree of vertices $u$ and $v$ in the graph $G$ respectively. In this paper, we are focusing on computing the Sombor index of some graph operations, more precisely join and corona product of two graphs. The original graphs that have been the base of this paper are path, cycle and complete graphs.
0

2561
2571


Nabeel
Arif
Department of Mathematics, College of Computer Science and Mathematics, Tikrit University, Tikrit, Iraq
Iran
nabarif@tu.edu.iq


Akar
Karim
Mathematics Department, College of Science, University of Sulaimani, Kurdistan Region of Iraq, Iraq
Iran
akar.karim@univsul.edu.iq


Roslan
Hasni
Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 21030, Kuala Nerus, Terengganu, Malaysia
Iran
hroslan@umt.edu.my
Sombor index
Composed graphs
Corona product
1

Using wavelet in identification state space models
https://ijnaa.semnan.ac.ir/article_5958.html
10.22075/ijnaa.2022.5958
1
In this research, an attempt to address a problem that is still intractable for researchers in the field of diagnosing dynamic systems, including state space models, which are related to determining the type of process appropriate to the nature of the system and determining its rank. Accordingly, the wavelet method will be adopted in the diagnostic process and the parameters of these models will be estimated using the leastsquares method, applying this to real data and comparing the results based on a set of statistical and engineering criteria using the readymade program Matlab.
0

2573
2578


Heyam
Hayawi
Department of Statistics and Informatics, University of Mosul, Mosul, Iraq
Iran
heyamhayawi@gmail.com
time series
State Space
identification
wavelet
1

Comparative analysis of the optimum level of manufacturing capacity in advance of the construction sector in years 20012018
https://ijnaa.semnan.ac.ir/article_5979.html
10.22075/ijnaa.2021.25021.2889
1
The main purpose of this article is a comparative analysis of the optimal level of production capacity of leading industrial industries in the construction sector in the years (20012018). In this article, we compare six different industries that are leading industries in manufacturing. These industries are: (Cement, lime and gypsum, wood and wood products, glass and ceramics, construction equipment, home and decorative, stone), in order to determine the optimal level of production capacity in the industries of the leading factories with doubledigit ISIC code.Rev.2 and ISIC.Rev.3 Translog cost function was used. Production efficiency is the equivalence of scale traction or cost traction (inverse of scale traction) with one. To obtain the optimal level of production, first from the equation of scale elasticity or cost elasticity with one, a production level was obtained which naturally satisfies the first condition, then the second condition in production was obtained for research purposes. The results of the analysis of the leading production capacity of the construction sector showed; in the cement, gypsum and lime industries, showed that the amount of optimal production capacity in the cement, gypsum and lime industries was estimated at 190%. The wood and products industries use just over 28% of their nominal capacity. In the glass and ceramic industries, the capacity utilization was estimated at 154%. Construction equipment Capacity utilization was estimated at 137%. Home and decorative industries; Capacity utilization was estimated at 149%. Stone industry, the nominal production capacity of these industries is about 41%. Capacity utilization was estimated at 78% in the analysis.
0

2579
2597


Mehran
Hafezi Birgani
Department of Economics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Iran
mehran_hbirgani@yahool.com


Alireza
Daghighi Asli
Department of Economics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Iran
dagighiasli@gmail.com


Teymur
Mohammadi
Department of Economics, Allameh Tabatabai University, Tehran, Iran
Iran
atmahmadi@gmail.com
Production Capacity
Upcoming Factory Industries
Construction
1

Types of fuzzy ($mathfrak{t}$ generalized $mathfrak{pre}$ and $mathfrak{t}^{ast}$ generalized $mathfrak{pre}$) mappings
https://ijnaa.semnan.ac.ir/article_5980.html
10.22075/ijnaa.2022.5980
1
The main target of this article is devoted to the generalization types of fuzzy contra continuous mapping socalled fuzzy contra $mathfrak{t}$ generalized $mathfrak{pre}$ continuous mapping and fuzzy contra $mathfrak{t}^{ast}$ generalized $mathfrak{pre}$ continuous mapping by utilizing fuzzy $mathfrak{tgp}$closed sets and fuzzy $mathfrak{t}^{ast}mathfrak{gp}$closed sets. We look into a few of their characteristics and discuss the relationship between these types and how they relate to other types of fuzzy mappings. Furthermore, we provide some examples that demonstrate that the inverse is not always true.
0

2599
2608


Noor
Kareem
Department of Mathematics, Faculty of Computer Science and Mathematics, University of Kufa, Najaf, Iraq
Iraq
noorr.almusawi@uokufa.edu.iq
Fuzzy $mathfrak{tgp}$continuous mappings
fuzzy $mathfrak{t}^{ast}mathfrak{gp}$continuous mappings
fuzzy locally $mathfrak{tgp}$indiscrete space
fuzzy locally $mathfrak{t}^{ast}mathfrak{gp}$indiscrete, fuzzy contra $mathfrak{tgp}$continuous mappings and fuzzy contra $mathfrak{t}^{ast}mathfrak{gp}$continuous mappings
1

Estimating partial linear single index model by MAVE and two stage estimation procedures
https://ijnaa.semnan.ac.ir/article_6063.html
10.22075/ijnaa.2022.6063
1
This research aims to estimate the partial linear single index model by using minimum average variance estimation (MAVE) and two stage estimation Procedures. We analyzed the creatinine ratio in blood data in order to determine the effects of different variables on renal failure. Mean squared error criterion (MSE) was used to compare between these methods, with reference to the use of the rule of thumb (ROT) method to estimate the smoothing parameter.
0

2609
2616


Huda
Ahmed
Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
Iraq
hudayahya26@gmail.com


Munaf
Hmood
Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
Iraq
munaf.yousif@coadec.uobaghdad.edu.iq
PLSIM
MAVE
Two Stage Procedure
Local Linear Smoother
ROT
1

Existence and stability analysis for nonlinear ψHilfer fractional differential equations with nonlocal integral boundary conditions
https://ijnaa.semnan.ac.ir/article_5983.html
10.22075/ijnaa.2021.24122.2674
1
In this paper, we study the existence and uniqueness of mild solutions for nonlinear fractional differential equations subject to nonlocal integral boundary conditions in the frame of a ψHilfer fractional derivative. Further, we discuss different kinds of stability of UlamHyers for mild solutions to the given problem. Using the fixed point theorems together with generalized Gronwall inequality the desired outcomes are proven. The obtained results generalize many previous works that contain special cases of function ψ. At the end, some pertinent examples demonstrating the effectiveness of the theoretical results are presented.
0

2617
2633


Adel
Lachouri
Department of Mathematics, Faculty of Sciences, University of Annaba, Annaba, Algeria
Iran
lachouri.adel@yahoo.fr


Abdelouaheb
Ardjouni
Department of Mathematics and Informatics, University of Souk
Ahras, Souk Ahras, Algeria
Iran
abd_ardjouni@yahoo.fr


Nesrine
Gouri
Department of Mathematics, Faculty of Sciences, University of Annaba, Annaba, Algeria
Iran
gou.nesrine@gmail.com


Kamel
Ali Khelil
Laboratory of Analysis and Control of Differential Equations,University of 8 May 1945 Guelma, Algeria
Iran
k.alikhelil@yahoo.fr
ψHilfer fractional derivative
Mild solution
UlamHyers stability
fixed point theorems
1

Existence and uniqueness of weak solution in weighted Sobolev spaces for a class of nonlinear degenerate elliptic problems with measure data
https://ijnaa.semnan.ac.ir/article_5984.html
10.22075/ijnaa.2021.23603.2564
1
In this paper, we study the existence and uniqueness of weak solution to a Dirichlet boundary value problems for the following nonlinear degenerate elliptic problemsbegin{equation*}{rm{div}}Big[ omega_{1}mathcal{A}(x,nabla u)+nu_{2}mathcal{B}(x,u,nabla u)Big]+ nu_{1}mathcal{C}(x,u)+ omega_{2}vert uvert^{p2}u=f{rm{div}}F, end{equation*}where $1 < p < infty$, $omega_{1}$, $nu_{2}$, $nu_{1}$ and $omega_{2}$ are $A_p$weight functions, and $mathcal{A}:Omegatimes mathbb{R}^nlongrightarrowmathbb{R}^n$, $mathcal{B}:Omegatimesmathbb{R}times mathbb{R}^nlongrightarrowmathbb{R}^n$, $mathcal{C}:Omegatimesmathbb{R}longrightarrowmathbb{R}$ are Carat'eodory functions that satisfy some conditions and the righthand side term $f{rm{div}}F$ belongs to $L^{p'}(Omega,omega_{2}^{1p'})+prodlimits_{j=1}^{n}L^{p'}(Omega,omega_{1}^{1p'})$. We will use the BrowderMinty Theorem and the weighted Sobolev spaces theory to prove the existence and uniqueness of weak solution in the weighted Sobolev space $W^{1,p}_ 0(Omega,omega_1,omega_{2})$.
0

2635
2653


Mohamed
El Ouaarabi
Laboratory LMACS, FST of Beni Mellal, BP 523, 23000, Sultan Moulay Slimane University, Morocco
Iran
mohamedelouaarabi93@gmail.com


Adil
Abbassi
Laboratory LMACS, FST of Beni Mellal, BP 523, 23000, Sultan Moulay Slimane University, Morocco
Iran
abbassi91@yahoo.fr


Chakir
Allalou
Laboratory LMACS, FST of Beni Mellal, BP 523, 23000, Sultan Moulay Slimane University, Morocco
Iran
chakir.allalou@yahoo.fr
Dirichlet problem
nonlinear degenerate elliptic problems
BrowderMinty Theorem
weighted Sobolev spaces
weak solution
1

Comparison of the percentile estimation method and mixture (maximum likelihood and least square) method for estimating parameters of Johnson bounded distribution
https://ijnaa.semnan.ac.ir/article_5987.html
10.22075/ijnaa.2022.5987
1
The Johnson Bonded Distribution (JSBD) is one of the distributions belonging to the Johnson Distribution family (JD) This family is considered one of the flexible distributions that enable it to represent the random behaviour of many phenomena. The method of percentile estimation and the Mixture method (Maximum Likelihood & Least Square) were used to find estimates of the distribution parameters. The simulation results showed the advantage of the Mixture method at large sample sizes, the accuracy of the two methods is close at average sample sizes.
0

2655
2663


Sanaa
Naeem
College of Management and Economics, University of Basrah, Iraq
Iraq
sunamohammed70@gmail.com


A.
Hussein
College of Management and Economics, University of Basrah, Iraq
Iraq
ali.hussien@uobasrah.edu.iq
Johnson distribution
Johnson bounded distribution
Percentile Method
Mixture method
1

Boundedness of a new kind of Toeplitz operator on $2pi$periodic holomorphic functions on the upper halfplane
https://ijnaa.semnan.ac.ir/article_5988.html
10.22075/ijnaa.2021.22314.2349
1
In the present paper, We introduce a new kind of Toeplitz operators on the spaces of $2pi$ periodic holomorphic functions on the upper halfplane equipped with an integral norm similar to the norm of $L^{p}$ spaces. We prove the boundedness of Toeplitz operators in the case of bounded symbols. Also, we state some open problems for unbounded symbols and other cases in which our spaces are not Hilbert spaces.
0

2665
2670


Mohammad
Ardalani
Department of Mathematics, Faculty of Science, University of Kurdistan, Sanandaj, Iran
Iran
m.ardalani@uok.ac.ir


Saeed
Haftbaradaran
Department of mathematics, Faculty of Science, University of Kurdistan, Sanandaj, Iran
Iran
s.haftbaradaran@sci.uok.ac.ir
Toeplitz operator
projection
$2pi$ periodic holomorphic functions
upper halfplane
1

Solving a multicriteria problem in a hierarchical method
https://ijnaa.semnan.ac.ir/article_5989.html
10.22075/ijnaa.2022.5989
1
The problem of minimizing a function of three criteria maximum earliness, the sum of completion times and maximum lateness in a hierarchical method is presented in this paper. A set of n independent jobs has to be scheduled on a single machine that is continuously available from time zero onwards and that can handle no more than one job at a time. Job $ j (j=1,2, ldots,n) $ requires processing during a given positive uninterrupted time $ p_j $. An algorithm to find the best possible solution is proposed for the problem of three criteria maximum earliness, the sum of completion times and maximum lateness in a hierarchical case.
0

2671
2674


Adawiya
AlNuaimi
Mathematics Department, College of Science, Diyala University, Diyala, Iraq
Iraq
dr.adawiya@sciences.uodiyala.edu.iq
Single machine
Hierarchical
Lexicographical
Multicriteria scheduling
1

Jackknifed Liutype estimator in the negative binomial regression model
https://ijnaa.semnan.ac.ir/article_5990.html
10.22075/ijnaa.2022.5990
1
The Liu estimator has been consistently demonstrated to be an attractive shrinkage method to reduce the effects of Intercorrelated (multicollinearity). The negative binomial regression model is a wellknown model in the application when the response variable is nonnegative integers or counts. However, it is known that multicollinearity negatively affects the variance of the maximum likelihood estimator of the negative binomial coefficients. To overcome this problem, a negative binomial Liu estimator has been proposed by numerous researchers. In this paper, a Jackknifed Liutype negative binomial estimator (JNBLTE) is proposed and derived. The idea behind the JNBLTE is to decrease the shrinkage parameter and, therefore, the resultant estimator can be better with a small amount of bias. Our Monte Carlo simulation results suggest that the JNBLTE estimator can bring significant improvement relative to other existing estimators. In addition, the real application results demonstrate that the JNBLTE estimator outperforms both the negative binomial Liu estimator and maximum likelihood estimators in terms of predictive performance.
0

2675
2684


Dhafer
Jabur
Northern Technical University, Mosul, Iraq
Iraq
thafer.allela@ntu.edu.iq


Nadwa
Rashad
Department of Management Information Systems, University of Mosul, Mosul, Iraq
Iraq
nadwa_khazaal@uomosul.edu.iq


Zakariya
Algamal
Department of Statistics and Informatics, College of Computer science and Mathematics, University of Mosul, Mosul, Iraq
Iraq
zakariya.algamal@uomosul.edu.iq
Multicollinearity
Liu estimator
negative binomial regression model
shrinkage
Monte Carlo simulation
1

Multifunctional control design for voltage control, frequency and active microgrid power
https://ijnaa.semnan.ac.ir/article_5991.html
10.22075/ijnaa.2021.25350.2991
1
Increasing the number of microgrids will challenge centralized control and telecommunications control structures. Multifunctional systems are a good alternative to decentralized control and management structures. The focus of this article is on designing multifactorial control for voltage, frequency and active power control. Past studies have spent their ability to stabilize the voltage at different terminals of a microgrid on a value. This can be technically and economically criticized. Different terminal voltages can be set to different values. It is not necessary to set the voltage of each terminal to the value of the apex. Economically, given the optimal load distribution, it may be possible to stabilize all terminals on an unjustified value. In this study, a protocol has been proposed by which the voltage at different terminals of a microgrid is able to stabilize at different values. In this paper, due to the stabilization of the voltage of different terminals on different values, the optimal distribution of reactive power is created. To regulate the voltage at the terminals where the voltage control devices are not available, the voltage corresponding to these terminals can be considered as one of the optimal reactive power dissipation constraints; in this case, the improvement of the voltage profile in critical terminals is facilitated. The article has tested the comparative method of fixed time and the postmodern method on a similar system. And it has been shown that the timeconstant adaptive method has a better convergence time than the regression method. But the simplicity of the backlog method is significant in some applications (where there are no powersensitive loads).
0

2685
2701


Hossein
Ravangard
Department of Electrical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
Iran
hossein13.6872@gmail.com


Mohammad Mehdi
Ghanbarian
Department of Electrical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
Iran
ghanbarian@kau.ac.ir


Mohammad Hossein
Fatehi Dinarlo
Department of Electrical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
Iran
mh_fatehi@kau.ac.ir
design
multifunction control
voltage control
Frequency
Active power
Microgrid
1

Distributionfree twosample homogeneity test for circular data based on geodesic distance
https://ijnaa.semnan.ac.ir/article_5992.html
10.22075/ijnaa.2022.5992
1
A new distancebased homogeneity test for circular data is considered in this paper. This test statistic could be used with a permutation test to detect the homogeneity between the distributions of two angular groups. A comparison between the proposed test against the Randomisation Watson test (RWT) and Wheeler Watson test (WWT) is addressed as well. The power of the new test has been computed and compared against RWT and WWT powers based on the angular simulated data which have been generated from the von Mises distributions. The simulation study based on the power demonstrates that the proposed statistical test outperforms classical tests.
0

2703
2711


Ahmed
Ali
Department of Mathematics, College of Education for Girls, University of Kufa, Najaf, Iraq
Iraq
ahmedj.alkhuzai@student.uokufa.edu.iq


Samira
Abushilah
Department of Mathematics, College of Education for Girls, University of Kufa, Najaf, Iraq
Iraq
sameerah.hathoot@uokufa.edu.iq
Circular Data
Geodesic Distance
Von Mises Distribution
Randomisation Watson Test
Wheeler Watson Test
Energy Statistic
1

A class of harmonic univalent functions defined by the qderivative operator
https://ijnaa.semnan.ac.ir/article_5995.html
10.22075/ijnaa.2022.5995
1
In this paper, a class of harmonic univalent functions has been studied by using qanalogue of the derivative operator for complex harmonic functions. We have obtained a sufficient condition, a representation theorem for this harmonic univalent functions class and some other geometric properties.
0

2713
2722


Amal
Rashid
Department of Mathematics, College of Education for Pure Sciences, University of Anbar, Ramadi, Iraq
Iraq
ama19u2001@uoanbar.edu.iq


Abdul
Juma
Department of Mathematics, College of Education for Pure Sciences, University of Anbar, Ramadi, Iraq
Iraq
eps.abdulrahman.juma@uoanbar.edu.iq
univalent function
Harmonic function
Sensepreserving
qdifference operator
1

Fixed point of four maps in generalized bmetric spaces
https://ijnaa.semnan.ac.ir/article_5978.html
10.22075/ijnaa.2021.24581.2776
1
In this paper, some common fixed point results for four mappings satisfying generalized contractive condition in a generalized bmetric spaces are proved. Advantage of our work in comparison with studies done in the context of bmetric is that, the bmetric functions used in the theorems are not necessarily continuous. So, our results extend and improve several comparable results obtained previously. To show the validity of our work, we also prove that the same results hold even if the space is endowed with two metrics.
0

2723
2730


Safia
Bazine
Department of Sciences and Technology, Larbi Tebessi UniversityTebessa, Algeria
Algeria
safia.bazine@univtebessa.dz
Common fixed point
matrix convergent to zero
weakly compatible
1

Stereo vision development for high performance on stereo systems
https://ijnaa.semnan.ac.ir/article_5996.html
10.22075/ijnaa.2022.5996
1
Stereo vision applications and systems are being grown common and widespread, especially with technological advancement. These systems and applications are widely applied in multiple fields and areas including autonomous robots, navigation, movie producing industry threedimensional measurements, 3D reconstruction, object tracking, security system and identification systems, and augmented reality applications, and etc. Recently, much attention has been paid to new algorithms and practical systems in parallel with advanced technologies. High competition has been realized among a wide range of scholars, developers, and researchers toward developing high efficient systems and techniques. In this paper, we mainly present significant literature on some existing stereo vision algorithm techniques and systems in stereo vision and image processing areas. Where for many decades until recent, remarkable works and researches have been performed to develop methods with high accuracy and fast time processing. These systems and methods can be easily integrated with several applications as newly created solutions for various stereo vision problems such as low acracy, mismatching algorithms, correspondence problems, and more. The authors abroad have introduced numerous methods to solve the previous issues with different structures and specified targets.
0

2731
2738


Ali
Yousif
University of Information Technology and Communications, Baghdad, Iraq
Iraq
alinafea@uoitc.edu.iq


Hassan
Ibrahim
University of Information Technology and Communications, Baghdad, Iraq
Iraq
hassan.m@uoitc.edu.iq


Safaa
Alwan
University of Information Technology and Communications, Baghdad, Iraq
Iraq
jasafaa@uoitc.edu.iq


Mohammed
Majid
Department of Computer Engineering, Altinbas University, Istanbul, Turkey
Turkey
mohammedshawkat27@gmail.com
Stereo vision
Algorithms development
Stereo vision applications
stereo
and image processing technique
1

Applying Jaya technique in examining the effective factors in the process of Mergers and acquisitions
https://ijnaa.semnan.ac.ir/article_5998.html
10.22075/ijnaa.2022.5998
1
The purpose of this article is to investigate and determine the factors affecting integration and acquisition activities in Iran. For this purpose, two hypotheses were determined and the annual data of 30 companies of the Tehran Stock Exchange in the period 20082020 were used to test the hypotheses. To test the hypotheses, the neural network method optimized with the Jaya optimization method was used to examine the effect of the studied variables including firm size and growth ability, risk growth, asset return, equity return, and financial leverage. Analysis using neural networks is used to isolate and clarify the effects of each of the studied variables. The analysis of the neural network showed that the three variables, exchange rate, interest rate, and stock price are very important in the process of changes in merger and acquisition activities in the country. Exchange rate fluctuations in particular have a very elastic effect on mergers and acquisitions, indicating that price effects are important in determining the flow of domestic and foreign investment. The stock market index had a positive effect on domestic mergers and acquisitions. Interest rates had a negative effect on mergers and acquisitions.
0

2739
2754


Mohammad
Eghbal
Department of Management, Babol Branch, Islamic Azad University, Babol, Iran
Iran


Seyed Ali
Nabavi Chashmi
Department of Management, Babol Branch, Islamic Azad University, Babol, Iran
Iran


Naser
Yadollahzadeh Tabari
Department of Economy, Babol Branch, Islamic Azad University, Babol, Iran
Iran
Tehran Stock Exchange
Mergers
acquisitions
1

On solving Bratu’s type equation by perturbation method
https://ijnaa.semnan.ac.ir/article_6000.html
10.22075/ijnaa.2022.6000
1
In this paper, the perturbation method is employed to obtain an approximate solution of some examples of the Bratu equation by choosing the different values of $ varepsilon $ and comparison with the exact solutions. It can be seen that the perturbation method is an alternative technique to be considered in solving many practical problems involving differential equations.
0

2755
2763


Safaa
Salem
College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq
Iraq
safaa.csp97@student.uomosul.edu.iq


Thair
Thanoon
College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq
Iraq
thairthanoon@uomosul.edu.iq
Nonlinear differential equation
Perturbation method, Bratu's type equation, Approximate solution
1

A suggested weighted running means for smoothing techniques with application
https://ijnaa.semnan.ac.ir/article_6003.html
10.22075/ijnaa.2022.6003
1
The variety of weighted Average techniques that fall within the structure of exploratory data analysis (EDA) has driven a diversity of competitive results of data analysis. In spite of this variation, the outcomes obtained from the Hanning procedure have some similarities, which makes judging and analysis of data are difficult somehow. Many searches were attitude to get the best performance of technique to give a kind of satisfaction for the researchers who work on the area of EDA. The proposed method is based on calculating the weighted average by applying geometric and harmonic mean to be compared with the existing technique that uses the arithmetic mean. The application of the proposal techniques is done on daily financial data in Malaysia that issues Sukuk of funds in Islamic banking and financial business. The results of applying the proposed techniques on real data sets showed a competitive performance for these standards in the field of comparison of techniques undergoing the smoothing procedures.
0

2775
2781


Qasim
Husain
Department of Mathematics, College of Education for pure Sciences, Tikrit University, Tikrit, Iraq
Iraq
qasim11@tu.edu.iq
Exploratory Data Analysis
Hanning
Harmonic mean
Geometric mean
Smoothed data
1

Introducing a new control system based on FuzzyPID for controlling DFIG rotor side converter in fault conditions
https://ijnaa.semnan.ac.ir/article_6001.html
10.22075/ijnaa.2021.6001
1
Doublyfed induction generators are sensitive to network faults and will be isolated from the circuit when a fault occurs. According to the new rules of the network, wind turbines should be able to continue working in fault conditions and should not be isolated from the system when the network fault occurs. This article proposes a FuzzyPID controller for controlling the doublyfed induction generator rotor side converter in fault conditions. This controller is only added to the circuit in fault conditions and it reduces the current of the rotor circuit with the proper control of the rotor side converter. When the network voltage is in the normal state, rotor side converter control is performed with the PI controller. The proposed method is implemented in MATLAB Simulink software. The simulation results confirm the better performance of the proposed method in the proper control of the rotor side converter in fault conditions.
0

2783
2799


Alireza
Moradi
Department of Electrical Engineering, Mahdishahr Branch, Islamic Azad University, Mahdishahr, Iran
Iran
alireza.moradi@mshiau.ac.ir


Seyyed Mohammad Reza
Hashemi
Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Iran
smr.hashemi@shahroodut.ac.ir
Doublyfed induction generator (DFIG)
Fault condition
FuzzyPID controller
Rotor side converter (RSC)
1

Extended dissipativity synchronization for Markovian jump recurrent neural networks via memory sampleddata control and its application to circuit theory
https://ijnaa.semnan.ac.ir/article_6004.html
10.22075/ijnaa.2021.25114.2919
1
The problem of synchronization with extended dissipativity for Markovian Jump Recurrent Neural Networks (MJRNNs) is investigated. For MJRNNs, a new memory sampleddata extended dissipative control approach is suggested here. Some sufficient conditions in terms of Linear Matrix Inequalities (LMIs) are acquired by suitably establishing a relevant Lyapunov  Krasovskii functional (LKF), wherein the master and the slave system of MJRNNs are quadratically stable. At last, a numerical section is provided, along with one of the applications in circuit theory that clearly illustrates the efficacy of the proposed method's performance.
0

2801
2820


R.
Anbuvithya
Department of Mathematics, Sri Sarada College for Women (Autonomous), Salem 636016, India
India
anbuvithya@gmail.com


S.
Dheepika Sri
Department of Mathematics, Sri Sarada College for Women (Autonomous), Salem 636016, India
India
dheepikashri@gmail.com


R.
Vadivel
Department of Mathematics, Faculty of Science and Technology, Phuket Rajabhat University, Phuket83000, Thailand
Thailand
vadivelsr@yahoo.com


P.
Hammachukiattikul
Department of Mathematics, Faculty of Science and Technology, Phuket Rajabhat University, Phuket83000, Thailand
Thailand
porpattama@pkru.ac.th


Choonkil
Park
Research Institute of Natural Science, Hanyang University, Seoul 04763, Korea
Korea
baak@hanyang.ac.kr


Gunasekaran
Nallappan
Intelligence Laboratory, Toyota Technological Institute, Nagoya, 4688511, Japan
Japan
gunasmaths@gmail.com
Extended Dissipativity
Markovian Jump Recurrent Neural Networks
Memory Sampled data control
Synchronization
1

A systematic literature review on web services composition
https://ijnaa.semnan.ac.ir/article_6012.html
10.22075/ijnaa.2022.6012
1
Web services composition is one of the most fundamental and pressing issues when developing Webbased systems in accordance with ServiceOriented Architecture. The main challenge is selecting and composing a proper set of web services to fulfil various demands of clients over the WorldWideWeb. This paper reports results of a systematic literature review conducted on the state of the art of achievements in web services composition. It starts with a set of research questions that lead to a set of relevant keywords for querying four wellknown digital libraries. Search results are then filtered through based on some inclusion and exclusion criteria. Finally, 269 most relevant documents were identified. The extracted information from these resources is analysed and results are reported, concerning three major viewpoints: bibliography, research quality, and strategy.
0

2821
2855


Morteza
Khani Dehnoi
Department of Computer Engineering, Quchan University of Technology, Quchan, Iran
Iran
m.khani@qiet.ac.ir


Saeed
Araban
Department of Computer Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Iran
araban@um.ac.ir
ServiceOriented architecture
Web services composition
Systematic literature review (SLR)
1

New theoretical conditions for solving functional nonlinear equations by linearization then discretization
https://ijnaa.semnan.ac.ir/article_6013.html
10.22075/ijnaa.2022.24699.2800
1
In this paper, we propose to solve nonlinear functional equations given in an infinitedimensional Banach space by linearizing first and then discretizing the linear iterative equations. We establish new sufficient conditions which provide new criteria for dealing with convergence results. These conditions define a class of discretization schemes. Some numerical examples confirm the theoretical results by treating an integrodifferential equation.
0

2857
2869


Ammar
Khellaf
Preparatory Class Department, National Polytechnic College of Constantine (Engineering College), Algeria
Algeria
amarlasix@gmail.com


Mohamed
Aissaoui
Department of Mathematics, Faculty of Mathematics and Computer Science and Material Sciences, University 8 May 1945 of Guelma, Algeria
Algeria
aissaouizine@gmail.com
Nonlinear equation
Iterative methods
convergence
NewtonKantorovich method
1

Integration of deep learning model and feature selection for multilabel classification
https://ijnaa.semnan.ac.ir/article_6014.html
10.22075/ijnaa.2021.25379.2998
1
Multilabel data classification differs from traditional singlelabel data classification, in which each input sample participated with just one class tag. As a result of the presence of multiple class tags, the learning process is affected, and singlelabel classification can no longer be used. Methods for changing this problem have been developed. By using these methods, one can run the usual classifier classes on the data. Multilabel classification algorithms are used in a variety of fields, including text classification and semantic image annotation. A novel multilabel classification method based on deep learning and feature selection is presented in this paper with specific metalabelspecific features. The results of experiments on different multilabel datasets demonstrate that the proposed method is more efficient than previous methods.
0

2871
2883


Hossein
Ebrahimi
Department of IT and Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
Iran
h.seyedebrahimi@iaurmia.ac.ir


Kambiz
Majidzadeh
Assistant Professor, Department of IT and Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
Iran
k.majidzadeh@iaurmia.ac.ir


Farhad
Soleimanian Gharehchopogh
Assistant Professor, Department of IT and Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
Iran
bonab.farhad@gmail.com
machine learning
Classification
MultiLabel
MetaLabelSpecific Features
Deep learning
1

Extended HermiteHadamard $(HH)$ and Fejer's inequalities based on $(h_1,h_2,s)$convex functions
https://ijnaa.semnan.ac.ir/article_6015.html
10.22075/ijnaa.2022.6015
1
In this paper, $(h_1,h_2)$convex and $s$convex functions are merged to form $(h_1,h_2,s)$convex function. Inequalities of the HermiteHadamard (HH) and Fejer's types will then be extended by using the $(h_1,h_2,s)$convex function and its derivatives. Some special cases for these extended HH and Fejer's inequalities are also explored in order to get the previously specified results. The relationship between newly constructed HermiteHadamard $(HH)$ and Fejer's types of inequalities with the average (mean) values are also discussed.
0

2885
2895


Sabir
Yasin
Department of Mathematics and Statistics, School of Quantitative Sciences, Utara University, Malaysia, 06010 UUM Sintok, Kedah, Malaysia
Malaysia


Masnita
Misiran
Department of Mathematics and Statistics, School of Quantitative Sciences, Utara University, Malaysia, 06010 UUM Sintok, Kedah, Malaysia
Malaysia


Zurni
Omar
Department of Mathematics and Statistics, School of Quantitative Sciences, Utara University, Malaysia, 06010 UUM Sintok, Kedah, Malaysia
Malaysia
inequality
HermiteHadamard (HH)
Fejer
convex function
1

Analysis of thunderstorms in Bangladesh using ARIMA model
https://ijnaa.semnan.ac.ir/article_6022.html
10.22075/ijnaa.2021.21639.2284
1
In this paper our main goal is to study the climatology and variability of the frequency of thunderstorm days over Bangladesh region throughout the year. It has been found that the mean thunderstorm days increase significantly from March to May, i.e. during the premonsoon season, although the graphical devices show that there does not seem to be much deviation from the occurrences of thunderstorms each year. The mean monthly and seasonal thunderstorm days were maximum in 1993, followed by that in 1997; whereas it was a minimum in the year 1980, with an extension in its frequency in the subsequent years 1981 and 1982. The coefficient of variation of both annual and seasonal thunderstorm days is minimum over the areas of maximum frequency of mean thunderstorm days and viceversa. The timedomain analysis confirms that the occurrence happened to be maximum in the year 1991, although each and every state did not witness thunderstorms every year. Also some other timedomain models like autocorrelation and seasonal integrated moving average provide adequate evidence for exploring the number of thunderstorms which happen to confirm the trend of occurrence of thunderstorm over the years.
0

2897
2909


Kalyan
Das
Department of Basic and Applied Sciences, National Institute of Food Technology Entrepreneurship and Management, HSIIDC Industrial Estate, Kundli  131028, Haryana, India.
India
daskalyan27@gmail.com


Md
Rahman
Institute of Statistical Research & Training (ISRT),University of Dhaka,Dhaka  1000, Bangladesh.
Bangladesh
lutfor@isrt.ac.bd


M.N.
Srinivas
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore632014, India.
India
mnsrinivaselr@gmail.com


Anisha
Das
Department of Statistics and Biostatistics, Florida State University, USA.
United States
anisha.das14@gmail.com


Vijay
Kumar
Department of Basic and Applied Sciences, National Institute of Food Technology Entrepreneurship and Management, HSIIDC Industrial Estate, Kundli  131028, Haryana, India.
India
vijay.niftem@gmail.com
Thunderstorm
Frequency
Differential equation
Interpolation
extrapolation
autocorrelation function
ARIMA
1

Using ARIMA model and neurofuzzy approach to forecast the climatic temperature in MosulIraq
https://ijnaa.semnan.ac.ir/article_6023.html
10.22075/ijnaa.2022.6023
1
The accuracy of temperature forecasting in maximum and minimum cases is important to control the environmental effects. In this study, integrated autoregressive and moving average (ARIMA) model is used to forecast climatic temperature variable in maximum and minimum cases in Mosul, Iraq as traditional method. NeuroFuzzy (NF) is also proposed as modern approach to improve the forecasting results. The results in this study reflect outperforming in forecasting for NF approach comparing to ARIMA model. In conclusion, NF approach can be used for more accuracy to forecast climatic temperature datasets in maximum and minimum cases.
0

2911
2920


Naam
Fadhil
Department of Statistics and Informatics, Faculty of Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq.
Iraq
naamsalem@uomosul.edu.iq
ARIMA model
NeuroFuzzy (NF)
Forecasting
climatic temperature
1

Sparse dimension reduction with group identification
https://ijnaa.semnan.ac.ir/article_6024.html
10.22075/ijnaa.2022.6024
1
Estimating the central mean subspace without requiring to designate a model is achieved via MAVE method. The original $p$ predictors are replaced with $d$linear combinations (LC) of predictors in MAVE, where $d<p$ without loss of any information about the regression. However, it is known that the interpretation of the estimated effective dimension reduction (EDR) direction is not easy due to each EDR direction is a LC of all the original predictors. The PACS method is an oracle procedure. In this article, a group variable selection method (SMAVEPACS) is proposed. The sufficient dimension reduction (SDR) concepts and group variable selection are emerged through SMAVEPACS. SMAVEPACS produces sparse and accurate solutions with the ability of group identification. SMAVEPACS extended PACS to multidimensional regression under SDR conditions. In addition, a method for estimating the structural dimension was proposed. The effectiveness of the SMAVEPACS is checked through simulation and real data.
0

2921
2931


Ali
Alkenani
Department of Statistics, College of Administration and Economics, University of AlQadisiyah, Al Diwaniyah, Iraq.
Iraq
ali.alkenani@qu.edu.iq
Variable selection
Group identification
MAVE
Pairwise absolute clustering and sparsity
1

A new [0, 1] truncated inverse Weibull rayleigh distribution properties with application to COVID19
https://ijnaa.semnan.ac.ir/article_6026.html
10.22075/ijnaa.2022.6026
1
In this paper, we introduce a new 2 parameters family of distributions named [0,1] Truncated Inverse Weibull  $G$ family ([0,1] TIWG) family, to generate new types of continues distributions. A special model namely, [0,1] Truncated Inverse Weibull Rayleigh distribution ([0,1] TIWR) distribution is considered and defined and some of the statistical properties are derived. Parameter's estimations using MLE method is provided and a simulation is given to determine the accuracy of the method used above. To demonstrate the utility of the distribution in nowday's applications, we explore and investigate the death rates of COVID19 in Iraq in the period from 14 December 2020 to 30 April 2021.
0

2933
2946


Mundher
Khaleel
Department of Mathematics, Faculty of Computer and Mathematical Sciences, Tikrit University, Tikrit, Iraq.
Iraq
mun880088@tu.edu.iq


Abdulwahab
Abdulwahab
Department of Mathematics, Faculty of Computer and Mathematical Sciences, Tikrit University, Tikrit, Iraq.
Iraq


Awni
Gaftan
Department of Mathematics, Faculty of Computer and Mathematical Sciences, Tikrit University, Tikrit, Iraq.
Iraq


Moudher
Abdalhammed
Department of Public Administration, Department of Public Administration, Tikrit University, Tikrit, Iraq.
Iraq
moudher@tu.edu.iq
Rayleigh distribution
[0
1] Truncated
Inverse Weibull family
Maximum likelihood estimation
1

Estimation of the general spatial regression model (SAC) by the maximum likelihood method
https://ijnaa.semnan.ac.ir/article_6027.html
10.22075/ijnaa.2022.6027
1
That there are indicators or statistical transactions that have appeared in a large way in recent times to describe, summarize and analyse spatial data, when a study is done of many phenomena or a disease is studied, whether it is on humans or animals, we need to analyze the spatial data resulting from those phenomena, as it includes observations of the spatial units. For example, countries or provinces ... etc., all of these are linked to certain points or locations. The study uses the maximum likelihood method to estimate the parameters of the General Spatial Model by employing the model to study cancer which shows the relationship between the dependent variable Y represented by the number of patients and the explanatory variables represented ( average age, tumor size, treame, hormone, immunity) in light of the effect of spatial juxtaposition and using Rook neigh boring criteria. One of the most important conclusions reached is the emergence of significant effects of some explanatory variables on the dependent variable Y, and the estimated values of the dependent variable Y are close to the real values of the same variable.
0

2947
2957


Wadhah
Ibrahim
College of Management and Economics, Dept. Of Statistic, Mustansiriyah University, Baghdad, Iraq.
Iraq
dr_wadhah_stat@uomustansiriyah.edu.iq


Nawras
Mousa
College of Management and Economics, Dept. Of Statistic, Mustansiriyah University, Baghdad, Iraq.
Iraq
The general spatial regression model
Spatial contiguity matrix
Rook neighboring criteria
maximum likelihood method
cancer
1

[0,1] Truncated half logistic half logistic distribution
https://ijnaa.semnan.ac.ir/article_6028.html
10.22075/ijnaa.2022.6028
1
In the past few years, many methods have been proposed to generate new distributions. In this paper, we introduce [0,1] truncated half logistic  half logistic distribution ([0,1] THLHLD). Some of important statistical properties of this distribution will be derived. These properties are rth raw moments function, hazard rate function, stressstrength function and Shannon entropy.
0

2959
2969


Salah
Abid
Department of Mathematical, Mustansiriyah University , Iraq.
Iraq
abidsalah@uomustansiriyah.edu.iq


Abbas
Kneehr
Department of Statistical, Wasit University, Iraq.
Iraq
alafta@uowasit.edu.iq


Emad
Muhi
Department of Accounting, Southern Technical University, Iraq.
Iraq
emad.alshareefi@stu.edu.iq
Half logistic distribution
[0
1] truncated distributions
rth moment
Shannon entropy
stress strength
reliability and hazard rate function
1

The effects of outlier on some Bayesian survival estimators for BurrX distribution with a Covid19 as a case study
https://ijnaa.semnan.ac.ir/article_6029.html
10.22075/ijnaa.2022.6029
1
Survival functions estimators can be affected by outlier, and thus these estimations move away from their real values, especially with the increasing in the outlier ratios within the sample of the random variable. The research included a comparison of a number of Bayesian methods for the estimations of survival functions of burr X distribution with the percentages of different outliers within the sample. Simulation results showed the effect of the estimation methods by sample size and the percentage of outliers, and the real values of the parameters distribution. Mean square error was adopted as a measure to compare the estimation methods with a number of simulation experiments. The research also included a case study of Covid19 for practical application. Other estimation methods can be taken (maximum likelihood estimation method, moment method, and shrinkage method) to note the possibility of being affected by outlier values
0

2971
2983


Waleed
Araheemah
Middle Technical University, Technical College of Management Baghdad, Information Technology Department, Iraq.
Iraq
dr.waleed@mtu.edu.iq
survival function
Bayesian estimators
integrated mean square error
BurrX Distribution
Outlier values
COVID19
Mean Square Error
1

Comparsion between weighted quadratic loss function and quadratic loss function to estimate asymmetric Laplace distribution parameters
https://ijnaa.semnan.ac.ir/article_6030.html
10.22075/ijnaa.2022.6030
1
The skewness and scale parameters of the asymmetric Laplace distribution are estimated with Bayesian methods using quadratic loss function and the weighted quadratic loss function, respectively, based on the functions of the prior of the gamma distribution and the exponential distribution for each of the skewness and scale parameters. These estimates were compared using integral mean square error, which was based on the real data technique of the stock prices the Iraqi market. The results revealed that the bayes estimator outperformed the quadratic loss function under the weighted quadratic loss function.
0

2985
2997


Asmaa
Radi
University of Baghdad, College of Administration and Economics, Department of Statistics, Iraq.
Iraq
asmaaq2230012@gmail.com


Ebtisam
Abdullah
University of Baghdad, College of Administration and Economics, Department of Statistics, Iraq.
Iraq
ekabdullah@coadec.uobaghdad.edu.iq
Asymmetric Laplace distribution
Bays estimator underweighted quadratic loss function
Quadratic loss function
Lindley approximation
1

The Topp Leone Flexible Weibull distribution: An extension of the Flexible Weibull distribution
https://ijnaa.semnan.ac.ir/article_6031.html
10.22075/ijnaa.2022.6031
1
A new probability model for positively skewed datasets like economic data, medical, engineering and other sciences was developed in this paper. The new distribution is named the ToppLeone Flexible Weibull distribution and it was generated using the ToppLeoneG family of distributions. This new distribution has three parameters and it is very flexible in fitting several and different datasets. Its basic mathematical properties were studied and the method of maximum likelihood estimation was used for the estimation of model parameters. A real life dataset was used to illustrate the flexibility of the distribution and it was found that the new model provides a better fit to real life datasets than the Topp Leone Burr XII, Topp Leone Lomax and Exponentiated Generalized Flexible Weibull distributions.
0

2999
3010


Nihad
Khalaf
Tikrit University, Collage of Education for Women, Department of Mathematics, Iraq.
Iraq
nihad.shreef16@tu.edu.iq


Moudher
Abdul Hameed
Tikrit University, Collage of Management and Economics, Department of Public Administration, Iraq.
Iraq


Mundher
Khaleel
Tikrit University, Collage of Computer Science and Mathematics, Department of Mathematics, Iraq.
Iraq
mun880088@tu.edu.iq


Zeyad
Abdullah
Tikrit University, Collage of Computer Science and Mathematics, Department of Mathematics, Iraq.
Iraq
Flexible Weibull distribution
Mathematical Statistics
ToppLeone family of distributions
1

A proposed conditional method for estimating ARMA(1, 1) model
https://ijnaa.semnan.ac.ir/article_6032.html
10.22075/ijnaa.2022.6032
1
This paper aims to study the parameters estimation methods of the stationary mixed model (autoregressivemoving average) of low order ARMA (1, 1) regarding to time domain analysis in univariate time series. Using the approximating methods: Back Forecasting (BF), Classical Conditional Maximum Likelihood (CC) and Proposed Conditional Maximum Likelihood(PC). A comparison is done among the three methods by Mean Squared Error (MSE) using several simulation experiments; the obtained results from the empirical analysis indicate that the accuracy of the proposed conditional method is better than the classical conditional method.
0

3011
3020


Lamyaa
Hameed
Department of Statistics, College of Administration and Economic, Baghdad University, Iraq.
Iraq
lamiaa.mohammed@coadec.uobaghdad.edu.iq
ARMA model
estimation
Conditional Maximum Likelihood
Back Forecasting
Sum Squared Error
1

Uncertain probability in information systems changed over time
https://ijnaa.semnan.ac.ir/article_6034.html
10.22075/ijnaa.2022.6034
1
In the information age, the decisionmaking process depends on data analysis. Most life problems are characterized by indeterminacy. In this research, we study data tables that change with time (changing information systems) and we use the concept of uncertain probabilities to introduce stochastic variables in data tables that changed over time. The uncertain probabilities are based on constructing neighborhoods on the set of objects in information systems and use topological approximations. Some examples are given to indicate the suggested approach. These concepts help in obtaining decisions using mathematical models in which no codes are used, or converting verbal variables into digital, and this helps to make approximations close to reality.
0

3021
3027


M. M.
ElGhoul
Department of Mathematics, Faculty of Science, Tanta University, Tanta, Egypt
Egypt
marwa_mabrouk@science.tanta.edu.eg


M. K.
Gabr
Department of Mathematics, Faculty of Science, Tanta University, Tanta, Egypt
Egypt
mohamed.gabr@science.tanta.edu.eg


Abdel Monaem
Kozae
Department of Mathematics, Faculty of Science, Tanta University, Tanta, Egypt
Egypt
akozae55@yahoo.com


A. M.
Teamah
Department of Mathematics, Faculty of Science, Tanta University, Tanta, Egypt
Egypt
teamah4@hotmail.com
Information system
uncertain probability
stochastic variables
1

Using apgarch/avgarch models Gaussian and nonGaussian for modeling volatility exchange rate
https://ijnaa.semnan.ac.ir/article_6035.html
10.22075/ijnaa.2022.6035
1
This paper aims to measure the effect of the volatility on the daily closing price for the (Iraqi dinar against US dollar) from (21 July 2011) until (21 July 2021) using the models of asymmetric general autoregressive conditional heterogeneity (APGARCH and AVGARCH). The parameter estimated by Maximum Likelihood Estimation method and the error term assumed two distributional (General error distribution and Student's t distribution), the results showed that the APGARCH(1,2) with error term distributed (Student's t) distribution is the best model for the return series of the (IQ/USD) exchange rate to get the lowest value according to the information criteria for determining ranks (AIC, BIC) in addition to the presence of the asymmetric effect of the leverage, and this is evidence that negative shocks affect volatility more than positive shocks (the impact of the positive shocks is less than the impact of the negative shocks).
0

3029
3038


Suhail
Abdulla
Department of Statistics, University of Baghdad, Baghdad, Iraq
Iraq
dr.suhail.najm@coadec.uobaghdad.edu.iq


Heba
Dhaher Alwan
Department of Statistics, University of Baghdad, Baghdad, Iraq
Iraq
hebadhaher.hd@gmail.com
Volatility
asymmetric GARCH model
Exchange Rate
1

Have hashtags and cashtags caused a slight reaction to stock returns in financial statements? Has the information content of the financial statements been lost? Case study: S & P500 companies
https://ijnaa.semnan.ac.ir/article_6041.html
10.22075/ijnaa.2021.24049.2660
1
The present study examines the effect of conventional hashtags & cashtags at social networks on the stock returns of S&P500 companies. In the first step, by creating an optimization portfolio that consists of S&P 500 companies (Fundamental analysis) abnormal stock returns have been tested. (similar to the 1989 study, Jane A. OU and Stephen H. Penman). Then, in the second step of the research, the effect of reduction free float of companies on abnormal stock returns has been tested. Next, the reduction of the explanatory power of EPS and BV information content as representatives of financial statements (income statement and balance sheet) on stock returns has been tested, and finally, in the fourth step, the effect of conventional hashtags & cashtags in social networks at the site Stocktwits.com has been tested. The findings of this research showed that: although Jane A. OU and Stephen H. Penman 1989 rejected the hypothesis of a semistrong efficient market in the companies surveyed, at this study and of course in the S & P500 companies, the hypothesis of a semistrong efficient market was confirmed. The effect of declining free float has led to abnormal returns on the S & P500 companies. The explanatory power of EPS and BV information content on stock returns have diminished over time, which has been due to the hashtags & cashtags content of financial statements on social networks. In other words, news about the status of companies is rapidly affecting stock returns through virtual networks.
0

3029
3057


Saeed
Safari Bideskan
Department of Accounting, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran
Iran
saeed_safari57@yahoo.com


Ali Reza
Mehrazeen
Department of Accounting, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran
Iran
mehrazeen@gmail.com


Mohammadreza
Shorvarzi
Department of Accounting, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran
Iran
m.shorvarzi@gmail.com


Abolghasem
Masihabadi
Department of Accounting, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran
Iran
a.masihabadi@iaus.ac.ir
Hashtag
cashtag
abnormal stock returns
free float
information content
1

Bayesian parameter estimation in addiction model
https://ijnaa.semnan.ac.ir/article_6042.html
10.22075/ijnaa.2022.6042
1
In this paper, we investigated the performance of Bayesian Computational methods for estimating the parameters of the multinomial Logistic regression model. We discussed two of the most common Bayesian computational algorithms: the Random walk MetropolisHastings (RWM) and Slice algorithms and their application to estimating the parameters of the addiction model as well as comparing the performance of these algorithms using the mean square error (MSE) criterion. The results revealed that the performance of the algorithms is excellent, with a slight superiority to the RWM algorithm.
0

3059
3071


Najla
ALKhairullah
Department of Mathematics, College of Science, University of Baghdad, Iraq
Iraq
nalkhairalla5@gmail.com


Tasnim
Kadhim AlBaldawi
Department of Mathematics, College of Science, University of Baghdad, Iraq
Iraq
tasnim.h@sc.uobaghdad.edu.iq
Multinomial Logistic Regression
MCMC
Random Walk MetropolisHasting Algorithm
Slice Sampling
1

Analysis of Markovian queueing system with server failures, Npolicy and second optional service
https://ijnaa.semnan.ac.ir/article_6048.html
10.22075/ijnaa.2022.6048
1
The current work details the behaviour of a finite Markovian queueing system with a vacation in which the server may face problems of breakdowns while in service. The repair process does start immediately after a breakdown which immediately resumes the service. During this period any new customer is allowed to join the system. Whenever the server finds nobody, the server goes on vacation and resumes service after N customers are accumulated. Meanwhile, it triggers preservice called startup. Further, we considered two types of repair facilities for the brokendown server with an optional probability. The server first provides essential service to all customers and the second optional service will be provided with a probability of “p”. The customer may renege in the first phase of service. We adopted RungeKutta Method to find Transient state probabilities and computed various performance indices like the expected length of the system, the mean waiting time etc. We then performed the sensitivity analysis to explore the effect of different parameters.
0

3073
3083


Roma
Das
Department of Statistics, Acharya Nagarjuna University, Guntur and Data Curator (SBDM), ICRISAT, Hyderabad, India
India
r.das@cgiar.org


V.N.
Devi
GRIET, Hyderabad, India
India
ramadevivn@gmail.com


Abhishek
Rathore
Theme Leader and Principal Scientist (SBDM), ICRISAT, Hyderabad, India
India
a.rathore@cgiar.org


K.
Chandan
Acharya Nagarjuna University, Guntur, India
India
kotagirichandan@gmail.com
Npolicy
Second optional service
Startup
Two types of repair facilities
1

Estimating coefficients for subclasses of meromorphic biunivalent functions involving the polylogarithm function
https://ijnaa.semnan.ac.ir/article_6054.html
10.22075/ijnaa.2022.6054
1
In this paper, we introduce a new operator (Omega_{c} g(z)) associated with polylogarithm function, applying it on the subclasses (AH_{Sigma_{mathcal{B}}^{*}}(gamma,k)) of meromorphic starlike biunivalent functions of order (gamma), and (AH_{{widetilde{Sigma}}_{mathcal{B}}^{*}}(gamma,k)) of meromorphic strongly starlike biunivalent functions of order (gamma), also we find estimates on the coefficients (left b_{0} right) and (left b_{1} right) for functions in these subclasses{.}
0

3085
3092


Shamil
Ahmed
Department of Mathematics, College of Education, AlMustansiriyah University, Baghdad, Iraq
Iraq
gshamil.ibrahim19807985@gmail.com


Ahmed
Radhi
Department of Mathematics, College of Education, AlMustansiriyah University, Baghdad, Iraq
Iraq
dr_ahmedk@yahoo.com
Analytic functions
Univalent functions
BiUnivalent functions
Starlike functions
strongly starlike functions
polylogarithm function
Meromorphic functions and Coefficient estimates
1

Generalized solution of Schrödinger equation with singular potential and initial data
https://ijnaa.semnan.ac.ir/article_6055.html
10.22075/ijnaa.2021.23609.2565
1
This paper proved the existence and uniqueness of the solution of the Schrödinger equation with singular potential and initial data in the Colombeau algebra $mathcal{G}_e$.
0

3093
3101


Abdelmjid
Benmerrous
Laboratory of Applied Mathematics and Scientific Computing, Sultan Moulay Slimane University, PO Box 532,23000 Beni Mellal, Morocco
Morocco
benmerrous94@hotmail.com


Lalla Saadia
Chadli
Laboratory of Applied Mathematics and Scientific Computing, Sultan Moulay Slimane University, PO Box 532,23000 Beni Mellal, Morocco
Morocco
chadli@fstbm.ac.ma


Abdelaziz
Moujahid
Laboratory of Applied Mathematics and Scientific Computing, Sultan Moulay Slimane University, PO Box 532,23000 Beni Mellal, Morocco
Morocco
moujahid.aziz.usms@gmail.com


Elomari
M'hamed
Laboratory of Applied Mathematics and Scientific Computing, Sultan Moulay Slimane University, PO Box 532,23000 Beni Mellal, Morocco
Morocco
m.elomari@usms.ma


Said
Melliani
Laboratory of Applied Mathematics and Scientific Computing, Sultan Moulay Slimane University, PO Box 532,23000 Beni Mellal, Morocco
Morocco
melliani@fstbm.ac.ma
Schrödinger equation
Singular potential
initial data
Colombeau algebra
potentials
1

Study connection between the Laurent series and residues on the $mathbf{A(z)}$ analytic functions
https://ijnaa.semnan.ac.ir/article_6056.html
10.22075/ijnaa.2022.6056
1
In this paper, we obtain a formula for residues and prove Laurent expansion and expansion to Taylor series for $A(z)$analytic functions.
0

3103
3111


Jaafar
Qasim
Department of Mathematics, College of Education, AlMustansiriyah University, Baghdad, Iraq
Iraq
jaaferjabber1@gmail.com


Ahmed
Radhi
Department of Mathematics, College of Education, AlMustansiriyah University, Baghdad, Iraq
Iraq
dr_ahmedk@yahoo.com
$A$analytic function
Laurent expansion
Residues
1

Dynamic modeling and microgrid frequency control connecting to the power grid in different modes
https://ijnaa.semnan.ac.ir/article_6060.html
10.22075/ijnaa.2021.25343.2989
1
In this paper, using the potential of microgrid surface batteries, the frequency support of the power system in different operating modes was discussed. The study suggested that the process could be supported by a set of batteries in the microgrid (in the mainsconnected mode and in the island mode, with the decentralized participation of each, in frequency support (power system or microgrid) in Different operating modes, were addressed. The approach used in this paper was to use a convex optimization algorithm. In this way, the batteries independently measured the system frequency and considering their charging mode injected the optimal power into the system, and A convex optimization algorithm will prove that the local optimal point (scattered battery injection) is the optimal point. It will also be universal (optimal system frequency control). Studies in system simulation in two modes of microgrid connected to the main grid and island microgrid have yielded several points.
0

3113
3129


Mehrdad
Gorjian
Department of Electrical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
Iran
mehrdadgorjian@ymail.com


Mohammad Mehdi
Ghanbarian
Department of Electrical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
Iran
ghanbarian@kau.ac.ir


Mohammad Hossein
Fatehi Dinarlo
Department of Electrical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
Iran
mh_fatehi@kau.ac.ir


Mehdi
Taghizadeh
Department of Electrical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
Iran
m.taghizadeh@kau.ac.ir
Dynamic modeling
Microgrid
frequency control
power grid
1

Estimation of multitruncated rayleigh and Weibull distributions with application
https://ijnaa.semnan.ac.ir/article_6061.html
10.22075/ijnaa.2022.6061
1
In this paper, we introduced the estimation of parameters for distributions that have multidouble truncation by the maximum likelihood method. We depended in the applied study on data of disease of Covid19 by using one double truncation. Some statistical data were analyzed and unknown parameters and were compared with some distribution.
0

3131
3140


Kawther
Alhasan
Department of Mathematics, College of Education for Pure Science, University of Babylon, Iraq
Iraq
pure.kawther.fa@uobabylon.edu.iq


Kareema
AlKadim
Department of Mathematics, College of Education for Pure Science, University of Babylon, Iraq
Iraq
kareema.kadim@yahoo.com
estimation
COVID19
double truncation
Weibull distributions
1

A new subclass of analytic functions involving Pascal distribution series
https://ijnaa.semnan.ac.ir/article_6062.html
10.22075/ijnaa.2021.21109.2231
1
In this work, we introduce and investigate a new class $ k widetilde{ U}ST_s (q , m , gamma, varsigma )$ of analytic functions in the open unit disc $U$ with negative coefficients. The aim of this study is to determine coefficient estimates, neighborhoods and partial sums for functions $u$ belonging to this class.
0

3141
3152


Venkateswarlu
Bolineni
Department of Mathematics, GSS, GITAM University, Doddaballapur562 163, Bengaluru Rural, Karnataka, India
India
bvlmaths@gmail.com


Thirupathi Reddy
P
Department of Mathematics, Kakatiya Univeristy, Warangal506 009, Telangana, India
India
reddypt2@gmail.com


Sujatha
Vaishnavy
Department of Mathematics, GSS, GITAM University, Doddaballapur562 163, Bengaluru Rural, Karnataka, India
India
sujathavaishnavy@gmail.com


S.
Sridevi
Department of Mathematics, GSS, GITAM University, Doddaballapur562 163, Bengaluru Rural, Karnataka, India
India
sirisettipalli@yahoo.co.in
analytic
starlike
Coefficient estimate
neighborhood
partial sums
1

Jackknifed Liutype estimator in the ConwayMaxwell Poisson regression model
https://ijnaa.semnan.ac.ir/article_6064.html
10.22075/ijnaa.2022.6064
1
Modelling of count data has been of extreme interest to researchers. However, in practice, count data is often identified with overdispersion or underdispersion. The Conway Maxwell Poisson regression model (CMPRE) has been proven powerful in modelling count data with a wide range of dispersion. In regression modeling, it is known that multicollinearity negatively affects the variance of the maximum likelihood estimator. To address this problem, shrinkage estimators, such as Liu and Liutype estimators have been consistently verified to be attractive to decrease the effects of multicollinearity. However, these shrinkage estimators are considered biased estimators. In this study, the jackknife approach and its modified version are proposed for modeling count data with CMPRE. These two estimators are proposed to reduce the effects of multicollinearity and the biasedness of using the Liutype estimator simultaneously. The results of Monte Carlo simulation and real data recommend that the proposed estimators were significant improvement relative to other competitor estimators, in terms of absolute bias and mean squared error with superiority to the modified jackknifed Liutype estimator.
0

3153
3168


Husam
Rasheed
Mustansiriyah University, Iraq
Iraq
husamstat@uomustansiriyah.edu.iq


Nazik
Sadik
Baghdad University, Iraq
Iraq
dr.nazik@coadec.uobaghdad.edu.iq


Zakariya
Algamal
University of Mosul, Iraq
Iraq
zakariya.algamal@uomosul.edu.iq
Multicollinearity
Liutype estimator
ConwayMaxwellPoisson regression model
Jackknife estimator
Monte Carlo simulation
1

New fixed point theorems in midconvex subgroups of abelian Banach groups
https://ijnaa.semnan.ac.ir/article_6065.html
10.22075/ijnaa.2021.21988.2312
1
In this paper, using continuous, injective, and sequentially convergent mappings on a group, new generalizations of Kannan and Chatterjea's fixed points in Banach groups are presented. we generalize contractions with constants to prove some fixed point theorems in a Banach group. Moreover, nondecreasing continuous functions from the set of positive real numbers to itself are used to introduce a new extension of contractions on normed groups.
0

3169
3180


Alireza
Pourmoslemi
Department of Mathematics, Payame Noor University, P.O.BOX 193953697, Tehran, Iran.
Iran
a_pourmoslemy@pnu.ac.ir


Marjan
Adib
Department of Mathematics, Payame Noor University, P.O.BOX 193953697, Tehran, Iran.
Iran
m.adib.pnu@gmail.com


Tahere
Nazari
Department of Mathematics, Payame Noor University, P.O.BOX 193953697, Tehran, Iran.
Iran
taheree.nazari2222@gmail.com
Banach groups
Normed groups
Sequentially convergent mapping
Kannan fixed point theorem
Midconvex subgroup
1

General formulas for solution some important partial differential equations using ElZaki transform
https://ijnaa.semnan.ac.ir/article_6066.html
10.22075/ijnaa.2022.6066
1
Our aim in this work, general formula for solution some partial differential equations are derived, which have applications in other sciences. Elzaki transformation was used to obtain these formulas. Moreover, some examples are solved using these formulas.
0

3181
3190


Athraa
ALbukhuttar
Department of mathematics, Faculty of Education for girls, University of Kufa, Najaf 54002, Iraq
Iraq
athraan.kadhim@uokufa.edu.iq


Yasmin
ALRikabi
Department of mathematics, Faculty of Education for girls, University of Kufa, Najaf 54002, Iraq
Iraq
yalmershedi@gmail.com
Elzaki transformation
Linear differential equations
Constants coefficients
1

Some results of weakly mapping in intuitionistic bitopological spaces
https://ijnaa.semnan.ac.ir/article_6067.html
10.22075/ijnaa.2022.6067
1
We generalized the concept of a function poorly open to intuition raster spaces and we get some new descriptions of the opening up of the weak functions among the intuitive point areas. Furthermore, we are investigating some of the characteristics of these functions compared to the relevant functions.
0

3191
3195


Rasha
Isewid
College of Physical Education and sport science, AlQadisiyah University, Iraq
Iraq
rasha.abbas@qu.edu.iq


Samer
Yaseen
Department of Mathematics, College of Pure Science, Tikrit University, Iraq
Iraq
samer2017@tu.edu.iq
intuitionistic bitopological spaces
weakly open function
weakly $(i
j)$intuitionistic open functions
1

Existence and uniqueness results to a fractional qdifference coupled system with integral boundary conditions via topological degree theory
https://ijnaa.semnan.ac.ir/article_6072.html
10.22075/ijnaa.2021.21951.2306
1
This paper aims to highlight the existence and uniqueness results for a coupled system of nonlinear fractional $q$difference subject to nonlinear more general fourpoint boundary conditions are treated. Our analysis relies on two approaches, the topological degree for condensing maps via a priori estimate method and the Banach contraction principle fixed point theorem. Finally, Two examples illustrating the effectiveness of the theoretical results are presented.
0

3197
3211


Abdellatif
Boutiara
Laboratory of Mathematics And Applied Sciences, University of Ghardaia, 47000, Algeria
Algeria
boutiara_a@yahoo.com


Maamar
Benbachir
Faculty of Sciences, Saad Dahlab University, Blida 1, Algeria
Algeria
mbenbachir2001@gmail.com
fractional differential equations system
fractional $q$derivative
topological degree theory
condensing maps
existence and uniqueness
1

Using some methods for estimating the survival times of patients infected with Covid19 utilizing new two parameters Lindley distribution NTPLD
https://ijnaa.semnan.ac.ir/article_6073.html
10.22075/ijnaa.2021.6073
1
The aim of this paper is the needs to analyze the survival time for patients with Covide19b who remains in the hospital until death, so it is necessary to study the survival times and estimate the reliability. The problem of finding the best distribution that fits the data is the key idea to analyze the data accurately. Consequently, the misspecifying of the distribution that fit the data leads to poor quality inference criteria of the phenomenon, also leads to unreliable reliability estimations. Many data of sciences areas are of different probability distributions depending on the nature of the phenomenon within the studied communities Some of the data are represented simple phenomena that cope with a unique probability distribution, and some of which are very complex and heterogeneous systems that force the researchers to use probability distributions fits the behavior of this random phenomenon. Many works in the field of reliability, failure and survival times, and the function of reliability (survival) follows some common distributions such as the Exponential distribution, Weibull distribution and other distributions. In this paper we introduced the survival function that follows an important distribution in survival modeling, that is called the Lindley distribution with two Parameters, taking into account two forms of this distribution, one of them we proposed based on different forms of the probability density function and finding the survival function for the distribution and compared to other distributions using several methods of estimation including the Maximum Likelihood Estimator (MLE), (percentiles estimators) by using Monte Carlo simulation experiments and comparing using the Integrated Mean Square Error (IMSE), (2$ ln L $) and AIC to achieve the best estimate of survival function among the distributions, as well as a real data analysis conducted for the survival times for patients with COVID19 stay in hospital until death. The proposed distribution fitted the data very well in the Maximum Likelihood method compared with the other distribution.
0

3213
326


Zahraa
Gaafar
Al Qadisiyah University, Al Diwaniyah, AlQādisiyyah, Iraq
Iraq
stat.post09@qu.edu.iq


Mohammed
ALSharoot
Al Qadisiyah University, Al Diwaniyah, AlQādisiyyah, Iraq
Iraq
mohammed.alsharoot@qu.edu.iq
Maximum likelihood
Percentiles
Lindley Distribution
survival function
1

LaguerreChebyshev PetrovGalerkin method for solving integral equations
https://ijnaa.semnan.ac.ir/article_6074.html
10.22075/ijnaa.2022.6074
1
This project aims to solve the second kind of Volterra, Fredholm integrodifferential equations, and mixed integral equations (VIDE, FIDEs and MIEs respectively) will be solved using the LaguerreChebyshev PetrovGalerkin method (PGM). By solving three cases to show how the recommended technique works in this study, we established the PGM to find the approximate solution for linear VIDEs, FIDEs, and MIEs.
0

3227
3237


Ali
Munaty
Department of Mathematics, College of Education for Pure Sciences, University of Basrah, Basrah, Iraq
Iraq
ali.k.math.msc@gmail.com


Hameeda
AlHumedi
Department of Mathematics, College of Education for Pure Sciences, University of Basrah, Basrah, Iraq
Iraq
hameeda.mezban@uobasrah.edu.iq
Integral equation
LaguerreChebyshev
PetrovGalerkin method
Orthogonal polynomial
Convergence analysis
1

Hyers stability of lattice derivations
https://ijnaa.semnan.ac.ir/article_6078.html
10.22075/ijnaa.2021.24090.2668
1
In this paper, lattice derivations are introduced and studied and the Ulam stability of lattice derivations is investigated by using the direct method and the fixed point method.
0

3239
3248


Ehsan
Movahednia
Department of Mathematics, Behbahan Khatam Alanbia University of Technology, Iran.
Iran
movahednia@bkatu.ac.ir


Choonkil
Park
Department of Mathematics, Hanyang University, Seoul, 133791, South Korea
Korea
baak@hanyang.ac.kr


Jung Rye
Lee
Department of Data Science, Daejin University, Kyunggi 11159, South Korea
Korea
jrlee@daejin.ac.kr
Banach lattice
Ulam stability
functional equation
falgebra
lattice derivation
1

Spearman's correlation coefficient in statistical analysis
https://ijnaa.semnan.ac.ir/article_6079.html
10.22075/ijnaa.2022.6079
1
In our research, we present a study to determine the required sample size (the water body) to estimate the Spearman correlation coefficient in terms of its strength and direction for the variables of the total annual evaporation and annual humidity so that we have a symbol for the total annual evaporation (a) and the annual total humidity (b) for three provinces in Iraq, which are Baghdad, Najaf and Babel for a period of ten Years 1991 to 2000, we know that the Simple Linear Correlation Coefficient (Spearman) is a tool for people who work in statistical analysis. The result of the correlation of total annual evaporation and annual total humidity in Baghdad governorate was negative and strong, and the result of the correlation of total annual evaporation with the humidity of Najaf Governorate was positive and weak, and the result of the correlation between total annual evaporation and annual humidity in Babil Governorate was positive and weak.
0

3249
3255


Khawla
Ali Abd AlHameed
Department of Soil Science and Water Resources, College of Agriculture, ALQasim Green University, Babil, Hilla, Iraq
Iraq
khawlaali@agre.uoqasim.edu.iq
Total annual evaporation data
Total annual humidity data
Spearman coefficient
Correlation
1

Controllability of impulsive fractional nonlinear control system with MittagLeffler kernel in Banach space
https://ijnaa.semnan.ac.ir/article_6080.html
10.22075/ijnaa.2022.6080
1
In this paper, we study the controllability of a nonlinear impulsive fractional control system with MittagLeffler kernel in Banach space. Firstly, we present the mild solution of the control system using fractional calculus and semigroup theory. We set sufficient conditions to prove the controllability of the control system using the Nussbaum fixed point theorem. Finally, to illustrate our results, an example is given.
0

3257
3280


Fadhil
Naji
Department of mathematics, College of Education for Pure Sciences, University of Babylon, Babel, Iraq
Iraq
fadel.naji@student.uobabylon.edu.iq


Iftichar
AlSharaa
Department of mathematics, College of Education for Pure Sciences, University of Babylon, Babel, Iraq
Iraq
pure.iftichar.talb@uobabylon.edu.iq
Controllability
Fractional calculus
MittagLeffler
semigroup theory
1

Comparison of the effect of using corporate governance mechanisms on the performance of companies based on Ponzi trap (Case study: Tehran Capital Markets companies)
https://ijnaa.semnan.ac.ir/article_6081.html
10.22075/ijnaa.2021.23303.2625
1
The purpose of this study is to compare the effect of using corporate governance mechanisms on the performance of companies based on Ponzi trap. The research method is exploratory. The statistical population of this study is Tehran capital market companies. The research period is from 1394 to 1398. From the statistical population of the research, 132 companies were selected as the sample size by the elimination method. Inhouse and extraorganizational mechanisms were used to lead the company. In this research, correlation test 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 the question test indicate that there is a significant relationship between corporate governance system with optimal and moderate performance on companies avoiding getting caught in the ponzi trap (money laundering). There is no significant relationship between corporate governance and poor performance of companies to avoid getting caught in the ponzi trap (money laundering). Also, the results of the main question showed that there is a significant relationship between corporate governance systems on companies avoiding getting caught in the Ponzi trap (money laundering).
0

3281
3292


Mojtaba
Rezaei
Department of Accounting, Faculty of Humanities, Zahedan Branch, Islamic Azad University, Zahedan, Iran
Iran
mojtabarezaei60@yahoo.com


Fardin
Mansouri
Department of Accounting, Faculty of Management and Economics, University of Sistan and Baluchestan, Zahedan, Iran
Iran
taghvaei99@vatanmail.ir


Mahdi
Faghani
Department of Accounting, Faculty of Management and Economics, University of Sistan and Baluchestan, Zahedan, Iran
Iran
faghani@acc.usb.ac.ir
Corporate Governance
company performance
money management
capital market
1

Study and implementation sinusoidal PWM inverter fed 3phase induction motor
https://ijnaa.semnan.ac.ir/article_6082.html
10.22075/ijnaa.2022.6082
1
This paper presents a simulation, implementation and simplified implementation of the study and development of an induction motor equipped with a builtin sine pulse width SPWM inverter. PSIM software is used to simulate PWM switching strategies as well as basic problems that are less than THD, efficient use of DC bus, etc. Simulation is also concerned with minor problems like EMI reduction, switching loss, and fine harmonics distribution with optimum battery. The results used experimentally and in implementation proved the superior performance and effectiveness of the filter in reducing and obviously unwanted distortions.
0

3293
3303


Ola Hussein
Alzuabidi
Dijlah University College, Computer Engineering Techniques, Iraq
Iraq
ola.hussien@duc.edu.iq
SPWM
SVPWM
Harmonics Analysis
Induction motor
THD
1

DitzainTotik modulus of smoothness for the fractional derivative of functions in $L_p$ space of the partial neural network
https://ijnaa.semnan.ac.ir/article_6083.html
10.22075/ijnaa.2022.6083
1
Some scientists studied the weighted approximation of the partial neural network, but in this paper, we studied the weighted DitzainTotik modulus of smoothness for the fractional derivative of functions in $L_p$ of the partial neural network and this approximation of the realvalued functions over a compressed period by the tangent sigmoid and quasiinterpolation operators. These approximations measurable left and right partial Caputo models of the committed function. Approximations are bitmap with respect to the standard base. Feedforward neural networks with a single hidden layer. Our higherorder fractal approximation results in better convergence than normal approximation with some applications. All proved results are in $L_p[X]$ spaces, where $0{<}p{<}1$
0

3305
3317


Amenah
Ibrahim
Department of Mathematics, Collage of Sciences, ALMustansiriyah University, Baghdad, Iraq
Iraq
amena_1335723@uomustansiriyah.edu.iq


Eman Samir
Bhaya
Department of Mathematics, Collage of Education for Pure Sciences, University of Babylon, Iraq
Iraq
emanbhaya@uobabylon.edu.iq


Eman Ali
Hessen
Department of Mathematics, Collage of Sciences, ALMustansiriyah University, Baghdad, Iraq
Iraq
dr_eman@uomustansiriyah.edu.iq
Approximation
DitzainTotik modulus
higherorder fractal approximation
partial Caputo models
partial neural network
Sobolev space
1

Investigating the asymmetric effects of macroeconomic variables on opportunistic behavior of managers
https://ijnaa.semnan.ac.ir/article_6085.html
10.22075/ijnaa.2021.25365.2996
1
In general, macromonetary and financial variables are among the factors that can affect the performance of companies. Exchange rates are one of the factors that affect the business relations of economic enterprises with the outside world. Exchange rate risk arises from changes in stock returns as a result of foreign exchange fluctuations. On the other hand, earnings management has always been a challenge for managers and investors, and in the meantime, most studies have focused on internal factors of earnings management and less on external variables, especially the impact of an important variable such as exchange rate. In this study, the asymmetric effects of exchange rate passage on earnings management of 131 companies listed on the Tehran Stock Exchange during the period 20082019 have been investigated using the generalized torque approach. Based on the results, positive currency shocks on SEM1 and SEM2 have a negative and statistically significant positive effect on SEM4 and negative shocks have a positive and significant effect on SEM3. While the degree of positive exchange rate shock passed only on SEM4 and the rate of positive exchange rate shock passed on SEM3 is greater than one, but in relation to other cases, the degree of the passage of the exchange rate is incomplete. Based on the results, the degree of exchange rate passage has asymmetric effects on earnings management depending on the type of currency shock and earnings management variable.
0

3319
3332


Shahrzad
Seraj
Department of Accounting, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Iran
sh.seraj85@yahoo.com


Hashem
Nikoomaram
Department of Accounting, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Iran
nikoomaram@srbiau.ac.ir


ahmad
Yaghoubnezhad
Department of Accounting, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Iran
yaghoobacc@gmail.com
Exchange Rate
Earning Management
Generalized method of moments (GMM)
accruals
optional items
Revenue items and real items
1

HermiteHadamard type inequality for $psi$RiemannLiouville fractional integrals via preinvex functions
https://ijnaa.semnan.ac.ir/article_6094.html
10.22075/ijnaa.2021.21475.2262
1
The main aim of the present paper is to establish a new form of HermiteHadamard inequalities using left and rightsided $psi$RiemannLiouville fractional integrals for preinvex functions and present two basic results of $psi$RiemannLiouville fractional integral identities including the firstorder derivative of a preinvex function. We derive some fractional HermiteHadamard inequalities with the help of these results. Further, we pointed out some applications for special means.
0

3333
3345


Nidhi
Sharma
Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi221005, India
India
sharmanidhirock@gmail.com


Shashi
Mishra
Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi221005, India
India
bhu.skmishra@gmail.com


Abdelouahed
Hamdi
Department of Mathematics, Statistics and Physics College of Arts and Sciences, Qatar University, P. O. Box 2713, Doha, Qatar
Qatar
abhamdi@qu.edu.qa
Invex sets
preinvex functions
HermiteHadamard inequalities, $psi$RiemannLiouville fractional integrals, Holder's inequality
1

Stock market reaction to real earnings management, financial risk and business risk
https://ijnaa.semnan.ac.ir/article_6095.html
10.22075/ijnaa.2021.23410.2534
1
Studies conducted on real earnings management seek to identify abnormal levels of business unit activities since real earnings management is associated with a change in timing or structure of the real activities of a business unit. However, more limited studies have been conducted on the effect of real earnings management on investors' decisions and market stakeholders and types of companies' risks. Thus, the present study is an attempt to examine the market reaction to real earnings management, financial risk and business risk of companies listed on the Tehran Stock Exchange. The present study is descriptive in terms of nature and correlational in terms of method. The statistical population of the present study is the companies listed on the Tehran Stock Exchange during 20082018. A total of 260 companies were selected as statistical samples using the systematic elimination method. The data were collected from relevant and valid databases and analyzed using regression equations and panel data. The results revealed that the market reaction to real earnings management and financial risk of companies is negative and its reaction to business risk is positive. Real earnings management also has a significant effect on the financial and business risk of the studied companies.
0

3347
3361


Seyed Nima
Vali Nia
Department of Accounting , Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran
Iran
nimavalinia@yahoo.com


Mohammad Hossein
Ranjbar
Department of Accounting , Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran
Iran
mhranjbar54@gmail.com


Hojatalah
salari
Department of Accounting , Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran
Iran
hojjatslr@gmail.com


Davood
Khodadady
Department of Accounting , Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran
Iran
khodadady47@gmail.com
Market Reaction
real earnings management
financial risk
business risk
1

Shape preserving approximation using convex smooth piecewise polynomials for functions in $L_p$ quasi normed spaces
https://ijnaa.semnan.ac.ir/article_6096.html
10.22075/ijnaa.2022.6096
1
Many papers used the algebraic polynomials to approximate functions in ${{L}}_{{p}}$ space for $0<p<1$. Few are introduced for the convex algebraic polynomials best approximation. But no one proves direct Theorems for constrained convex approximation using smooth interpolatory piecewise polynomials for functions in ${{L}}_{{p}}$, $0<p<1$. That is what we shall introduce here.
0

3363
3370


Iktifa
Jaleel
Mathematics Department, College of Education for Pure Sciences, University of Babylon, Iraq
Iraq
aktfaa.jalil@student.uobabylon.edu.iq


Eman Samir
Bhaya
Mathematics Department, College of Education for pure Sciences, University of Babylon, Babylon, Iraq
Iraq
emanbhaya@uobabylon.edu.iq
$L_p$space
piecewise
convex approximation
Derivative
1

The effect of audit quality and auditor reputation on the relationship between the auditor's tenure and the auditor's fee
https://ijnaa.semnan.ac.ir/article_6097.html
10.22075/ijnaa.2022.6097
1
The purpose of this study was to investigate the effect of audit quality and auditor reputation on the relationship between auditor tenure and audit fees. Companies listed on the Tehran Stock Exchange for a period of 10 years from 2011 to 2021, was the statistical population of the present research. The sampling method was systematic elimination; Which, based on the constraints raised, the 132 accepted listed have been selected in the Tehran Stock Exchange as a research sample. In this study, information was collected in two stages. In the first stage, the library method has been used to formulate the theoretical foundations of the research, and in the second stage, Rahavard Novin software and financial statements of companies have been used to collect the desired data. The analysis of companies' financial information was performed using the selfreturn model with distributed interrupts (ARDL) in the Eviews software environment. The results showed that the auditor's tenure had a positive and significant effect on the audit fee and the quality of the audit and the auditor reputation had a positive and significant effect on the audit fee. It has significantly intensified the relationship between the auditor's tenure and the auditor's fee.
0

3371
3379


Sadegh
Tonekaboni
Department of Accounting, Nour Branch, Islamic Azad University, Mazandaran, Iran
Iran
stonekaboni2020@gmal.com


Mehdi
Khalilpour
Department of Accounting, Nour Branch, Islamic Azad University, Mazandaran, Iran
Iran
khalilpourmehdi@gmail.com


Ali
Fallah
Department of Accounting, Nour Branch, Islamic Azad University, Mazandaran, Iran
Iran
fallahali55@yahoo.com


Javad
Ramzani
Department of Accounting, Nour Branch, Islamic Azad University, Mazandaran, Iran
Iran
javad.ramezani58@gmail.com
Audit fee
Auditor tenure
Audit quality
Auditor reputation
1

Weighted approximation using neural network in terms of fractional modulus of smoothness of fractional derivative
https://ijnaa.semnan.ac.ir/article_6098.html
10.22075/ijnaa.2022.6098
1
We introduce direct theorems for universal weighted approximation. This approximation in terms of weighted DitzainTotik modulus of smoothness for the fractional derivative of functions in $L_p$ (quasinormed spaces).
0

3381
3394


Amenah
Ibrahim
Department of Mathematics, College of Sciences, ALMustansiriyah University, Baghdad, Iraq
Iraq
amena_1335723@uomustansiriyah.edu.iq


Eman Samir
Bhaya
Department of Mathematics, College of Education for Pure Sciences, University of Babylon, Babylon, Iraq
Iraq
emanbhaya@uobabylon.edu.iq


Eman
Hessen
Department of Mathematics, College of Education for Pure Sciences, University of Babylon, Babylon, Iraq
Iraq
dreman@uomustansiriyah.edu.iq
DitzainTotik modulus
quasinorm
weighted approximation
1

Comparison between two new censored regression models extended from BurrXII system with application
https://ijnaa.semnan.ac.ir/article_6100.html
10.22075/ijnaa.2022.6100
1
This article presents a comparison between two new censored regression models which are extended from some continuous distribution with the BurrXII system. The two models are the LogBXII Weibull model(LBXIIW) and the LogBXII Exponentiated Exponential model(LBXIIEE). The results of the comparison showed the LBXIIW model is best than the LBXIIEE model according to the values of the model selection criteria when the Creatine is a dependent variable in the model.
0

3395
3403


Anwaar
Abdulkareem
College Education for Pure Sciences, University of Kirkuk, Iraq
Iraq
anwaar71@uokirkuk.edu.iq


Sunbul
Mohammed
College of Administration and Economics, University of Kirkuk, Iraq
Iraq
sunbulr79@uokirkuk.edu.iq
BurrXII System
LogBXII Exponentiated Exponential model
LogBXII Weibull model
1

Developing and explaining a comprehensive competency model of financial managers in a professional and forwardlooking manner with grounded theory method
https://ijnaa.semnan.ac.ir/article_6101.html
10.22075/ijnaa.2021.25414.3011
1
Financial development in the country requires competent financial managers and optimal financial management. In this regard, developing a comprehensive perspective model to identify the competencies of financial managers is the first step towards goal setting to achieve the ideals and the desired point of an organization. In the present study, with the aim of achieving a model for the competence of financial managers, the qualitative method of data theory of the foundation has been used. The sampling used in this study was theoretical sampling using nonprobabilistic targeted methods and snowballs, based on which 20 interviews were conducted with experts and senior managers. After conducting interviews and collecting information, the codes obtained in different sections were analyzed using the systematic approach of Strauss and Corbin and the paradigm model, and after performing the three steps of open, axial and selective coding, the final model by the Researcher obtained. The final model consists of a set of central categories, causal conditions, intervening conditions, strategies, and finally, consequences. Each of these conditions and the factors that make up the model has variables and categories that pay attention to them to provide a model for the competence of financial managers.
0

3405
3425


Seyyed Mohammad Hassan
Mohammadi
PhD Student, Department of Accounting, Yazd Branch, Islamic Azad University, Yazd, Iran
Iran
hassanmohammadi60@gmail.com


Akram
Taftiyan
Assistant Professor, Department of Accounting, Yazd Branch, Islamic Azad University, Yazd, Iran
Iran
taftiyan@iauyazd.ac.ir


Forough
Heirani
Assistant Professor, Department of Accounting, Yazd Branch, Islamic Azad University, Yazd, Iran
Iran
heyrani@iauyazd.ac.ir


Saeed
Eslami
Assistant Professor, Department of Accounting, Yazd Branch, Islamic Azad University, Yazd, Iran
Iran
saeed.eslami@iauyazd.ac.ir
Competence
Financial Managers
Grounded theory
qualitative research
1

Qualitative properties of solutions of fractional order boundary value problems
https://ijnaa.semnan.ac.ir/article_6102.html
10.22075/ijnaa.2021.22391.2457
1
In this article, we discuss two boundary value problems for fractionalorder differential equations. We show unique solutions exist and some data continuous dependence, with aim of proving some characteristics for these solutions of a coupled system of conjugate orders. These coupled systems are equivalent to coupled systems of secondorder differential equations. Therefore, the analysis of the spectra of these problems is a consequence of that of secondorder differential equations.
0

3427
3440


A. M. A.
ElSayed
Faculty of Science, Alexandria University, Alexandria, Egypt
Egypt
amasayed@alexu.edu.eg


H. H. G.
Hashem
Department of Mathematics, College of Science, Qassim University, P.O. Box 6644 Buraidah 51452, Saudi Arabia
Saudi Arabia
3922@qu.edu.sa


Sh.
AlIssa
Department of Mathematics, Lebanese International University, Saida, Lebanon
Lebanon
shorouk.alissa@liu.edu.lb
boundary value problem
LiouvilleCaputo fractional derivative
Data continuous dependence
Eigenvalues and Eigenfunctions
1

Hyperparameters optimization of support vector regression using black hole algorithm
https://ijnaa.semnan.ac.ir/article_6107.html
10.22075/ijnaa.2022.6107
1
The support vector regression (SVR) technique is considered the most promising and widespread way in the prediction process, and raising the predictive power of this technique and increasing its generalization ability well depends on tunning its hyperparameters. Natureinspired algorithms are an important and effective tool in optimizing or tuning hyperparameters for SVR models. In this research, one of the algorithms inspired by nature, the black hole algorithm (BHA), by adapting this algorithm to optimize the hyperparameters of SVR, the experimental results, obtained from working on two data sets, showed, the proposed algorithm works better by finding a combination of hyperparameters as compared to the grid search (GS) algorithm, in terms of prediction and running time. In addition, the experimental results show the improvement of the prediction and computational time of the proposed algorithm. This demonstrates BHA's ability to find the best combination of hyperparameters.
0

3441
3450


Saifuldeen
Alrefaee
Department of Operations Research and Intelligent Technologies, University of Mosul, Mosul, Iraq
Iraq
saifldeen.alrefaee@uomosul.edu.iq


Salih
Al Bakal
Department of Operations Research and Intelligent Technologies, University of Mosul, Mosul, Iraq
Iraq
salih.mooaed@uomosul.edu.iq


Zakariya
Algamal
Department of Statistics and Informatics, University of Mosul, Mosul, Iraq
Iraq
zakariya.algamal@uomosul.edu.iq
Support Vector Regression (SVR)
Black Hole Algorithm (BHA)
Hyperparameters
1

An optimized swarm intelligence algorithm based on the mass defence of bees
https://ijnaa.semnan.ac.ir/article_6108.html
10.22075/ijnaa.2022.6108
1
Swarm intelligence is a modern optimization technique and one of the most efficient techniques for solving optimization problems. Their main inspiration is the cooperative behavior of animals within specific communities. In swarm intelligence algorithms, agents work together and the collective behavior of all agent causes converge at a point close to the global optimal solution. In this paper, we model the behavior of bees in defending the hive against invading bees to provide a new optimization algorithm. In the proposed algorithm, the coordinated performance of bees in identifying the invader creating a circle around the invading bee and generating heat during the siege of the invading bee and also the heat emitted from each bee are modeled. The simulation results of the proposed algorithm show a successful competitive behavior in achieving the global optimum in comparison with the firefly, ant colony, artificial bee colony, whale and grey wolf algorithms.
0

3451
3462


Robabeh
Chanpa
Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
Iran


Mohammad Ali
Jabraeil Jamali
Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
Iran
m_jamali@itrc.ac.ir


Abdolreza
Hatamlou
Department of Computer Engineering, Khoy Branch, Islamic Azad University, Khoy, Iran
Iran


Babak
Anari
Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
Iran
Swarm intelligence
Optimization
Algorithms
Mass defence of bees
1

Fibrewise multitopological spaces
https://ijnaa.semnan.ac.ir/article_6109.html
10.22075/ijnaa.2022.6109
1
We define and study new ideas of fibrewise topological space on D namely fibrewise multitopological space on D. We also submit the relevance of fibrewise closed and open topological space on D. Also fibrewise multilocally sliceable and fibrewise multilocally section able multitopological space on D. Furthermore, we propose and prove a number of statements about these ideas.
0

3463
3474


M. H.
Jaber
Department of Mathematics, College of Education for Pure Sciences, University of Baghdad, Ibn AlHaitham, Baghdad, Iraq
Iraq
maged.hameed1203a@ihcoedu.uobaghdad.edu.iq


Yousif
Yousif
Department of Mathematics, College of Education for Pure Sciences, University of Baghdad, Ibn AlHaitham, Baghdad, Iraq
Iraq
yousif.y.y@ihcoedu.uobaghdad.edu.iq
fibrewise upper topological space
fibrewise lower topological space
fibrewise multitopological spaces
fibrewise upper locally sliceable
1

Change of measure in fractional stochastic differential equation
https://ijnaa.semnan.ac.ir/article_6110.html
10.22075/ijnaa.2022.6110
1
Change of measure is a very well known common criterion in both the probability rules and applications. The change of measure is a transformation from actual measure to equivalent measure. We will employ the change of measure in Fractional Stochastic Differential Equations (FSDE), which is a general form of Stochastic Differential Equation (SDE). We will implement our method to some important examples, like, Fractional Brownian Motion (FBM) and Fractional Levy process (FL).
0

3475
3478


M.F.
AlSaadony
Universirty of AlQadisiyah, Iraq
Iraq
muhannad.alsaadony@qu.edu.iq


Bahr
Mohammed
Universirty of AlQadisiyah, Iraq
Iraq
bahr.mahemmed@qu.edu.iq


Hameedah
Melik
{Universirty of AlQadisiyah, Iraq
Iraq
hameedah.naeem@qu.edu.iq
Change of measure
Stochastic Differential Equations
Fractional stochastic differential equations
Fractional Brownian motion
Fractional Levy process
1

Common fixed point theorems under rational contractions in complex valued extended $b$metric spaces
https://ijnaa.semnan.ac.ir/article_6124.html
10.22075/ijnaa.2020.20025.2118
1
In this paper, we discuss the existence and uniqueness of fixed point and common fixed point theorems in complexvalued extended bmetric space for a pair of mappings satisfying some rational contraction conditions which generalize and unify some well known results in the literature.
0

3479
3490


Carmel Pushpa
Raj J
Department of Mathematics, St. Joseph's College (Autonomous), Tiruchirappalli620 002, Tamil Nadu, India
India
carmelsjc@gmail.com


Arul
Xavier A
Department of Mathematics, St. Joseph's College (Autonomous), Tiruchirappalli620 002, Tamil Nadu, India
India
arulxavier3006@gmail.com


Maria
Joseph J
Department of Mathematics, St. Joseph's College (Autonomous), Tiruchirappalli620 002, Tamil Nadu, India
India
joseph80john@gmail.com


Marudai
M
Department of Mathematics, Bharathidasan University, Tiruchirappalli620 024, Tamil Nadu, India
India
mmarudai@yahoo.co.in
Complex valued extended bmetric space
Rational contraction
common fixed point
1

Estimating parameters of Marshall Olkin Topp Leon exponential distribution via grey wolf optimization and conjugate gradient with application
https://ijnaa.semnan.ac.ir/article_6131.html
10.22075/ijnaa.2022.6131
1
A new probability model for positively skewed datasets like economic data, medical, engineering and other sciences was developed in this paper. The new distribution is named the Marshall Olkin Topp Leon Exponential distribution and it was generated using the Marshall Olkin Topp Leon G family of distributions. It has three parameters and it is very flexible in fitting several and different datasets. Its basic mathematical properties were studied and two methods like maximum likelihood estimation via Gray Wolf optimization and Conjugate Gradient used for the estimation of model parameters. A reallife dataset was used to illustrate the flexibility of the distribution and it was found that the new model provides a better fit to reallife datasets than other distributions.
0

3491
3503


Zeyad
Abdullah
Department of Mathematics, College of Computer Science and Mathematics, Tikrit University, Iraq
Iraq
zeyaemoh1978@tu.edu.iq


Nazar
Hussain
Department of Mathematics, College of Computer Science and Mathematics, Tikrit University, Iraq
Iraq


Firas
Fawzi
Department of Mathematics, College of Computer Science and Mathematics, Tikrit University, Iraq
Iraq


Moudher
AbdalHammed
Department of Public Administration, Collage of Management and Economics, Tikrit University, Iraq
Iraq
moudher@tu.edu.iq


Mundher
Khaleel
Department of Public Administration, Collage of Management and Economics, Tikrit University, Iraq
Iraq
mun880088@tu.edu.iq
Marshall Olkin distribution
Topp LeonG family of distributions
Mathematical properties
Exponential distribution
1

The Rayleigh Gompertz distribution: Theory and real applications
https://ijnaa.semnan.ac.ir/article_6132.html
10.22075/ijnaa.2022.6132
1
The generalization of distributions is an important topic in probability theory. Several distributions, whether symmetrical, semisymmetrical or heavily skewed, are unsuitable for modelling modern data. In this paper, the Rayleigh Gompertz distribution as a new compound flexible distribution is introduced. Several important statistical properties of the new distribution have been examined and studied as well as its flexibility is proved through various real datasets with different information fitting criteria. The flexibility of this new distribution allows using it in various application areas.
0

3505
3516


Nadia
AlNoor
Mathematics Department, College of Science, Mustansiriyah University, Baghdad, Iraq
Iraq
nadialnoor@uomustansiriyah.edu.iq


Mundher
Khaleel
Mathematics Department, College of Computer Science and Mathematics, Tikrit University, Tikrit, Iraq
Iraq
mun880088@tu.edu.iq


Noor
Assi
Mathematics Department, College of Science, Mustansiriyah University, Baghdad, Iraq
Iraq
The Rayleigh Gompertz Distribution
Exponential distribution
reliability function and hazard function
1

Identifying and prioritizing effective strategies in strategic human resource planning using multifuzzy multicriteria decisionmaking methods (Case study; Export Development Bank of Iran)
https://ijnaa.semnan.ac.ir/article_6133.html
10.22075/ijnaa.2021.24970.2859
1
Many future studies in the field of human resource management reflect the fact that strategic advantage and sustainability in the competitive market will belong to organizations that can identify, attract and nurture the best human resource talents better than competitors and with the help of formulation. Maintain dynamic and businessoriented strategies. The present paper aims to identify and prioritize effective strategies in human resource planning in the Export Development Bank of Iran, using multifuzzy multicriteria decisionmaking methods. The statistical population of this study included 23 experts (managers and experts) who were also considered as a sample size. Two researchermade questionnaires based on the 9point Likert scale were used to collect data. The method of this research was mixed and in terms of exploratory and developmental type and data analysis was done in the qualitative part based on the strategic planning matrix (SWOT) and a small part of the worstbest (BMW) fuzzy method. Findings showed that from the intersection of the two axes of internal factors evaluation matrix (1.68) and equivalent external factors (2.62) and SWOT matrix analysis, 19 identification strategies, among which the aggressive strategy of strengthening and establishing the system of recruitment and supply of human resources using methods Novin was identified as the first priority and this bank is facing a relative weakness in the field of human resources planning in a conservative position and in terms of the internal environment, and it is necessary to change the current situation towards an aggressive strategy. The purpose is to use the type of applied research.
0

3517
3533


Sayyed Mohammad
Tabatabaeifar
Department of Management, Roodehen Branch, Islamic Azad University, Roodehen, Iran
Iran
mohammad_tabatabaei@yahoo.com


Masoud
Haghighi
Department of Management, Roodehen Branch, Islamic Azad University, Roodehen, Iran
Iran
masoudhaghighi2021@yahoo.com


Mohamad Ali
Jafari
Faculty of Financial Sciences, Kharazmi University, Tehran, Iran
Iran
m.a.jafari@khu.ac.ir
Strategic Planning of Human Resources
MultiFuzzy Criteria Decision Making
Export Development Bank of Iran
1

Some ratio estimators of finite population variance using auxiliary information in ranked set sampling
https://ijnaa.semnan.ac.ir/article_6134.html
10.22075/ijnaa.2022.6134
1
The method of selecting or designing the sample may be expensive or take a long time in some studies. And with the existence of the relationship between the main and auxiliary variables, which can employ in the process of selecting sampling units through the possibility of ranking for the auxiliary variable at the lowest possible cost. Ranked set sampling (textit{RSS}) is a method to achieve this objective, and in sample surveys, it is usual to use auxiliary information to increase the precision of estimators. This article addresses the problem of estimating the finite population variance in ranked set sampling using auxiliary information, and that is through some suggested estimators. The bias and mean squared error of the proposed estimators are obtained up to the first degree of approximation. An asymptotic optimum estimator is identified with its approximate mean squared error (textit{MSE}) formula. An estimator based on ``estimated optimum values'' is also investigated. Some special cases of these estimators are considered and compared using computer simulation. Finally, we showed how to extend the proposed estimator if more than one auxiliary variable is available.
0

3537
3549


Rikan
Ahmed
Department of Statistics and Informatics, Mosul University, Iraq
Iraq
rikan.al_rahman1101@coadec.uobaghdad.edu.iq


Saja
Hussein
Department of Statistics, Baghdad University, Baghdad, Iraq
Iraq
saja@coadec.uobaghdad.edu.iq
Bias
Mean Square Error
Auxiliary variables
Relative Efficiency
Ranked set sampling
1

Solution of delay differential equations using TarigPade differential transform method with an application to vectorborne diseases
https://ijnaa.semnan.ac.ir/article_6135.html
10.22075/ijnaa.2022.6135
1
This study presents the differential transform method and its modification proposes a combination of the differential transform method, Tarig transformation and the Pade approximation. This combination may be used as a beneficial strategy to expand the domain of convergence of the approximation solutions. Moreover, the modified differential transform method will be used to solve linear and nonlinear delay differential equations, and this technique will be applied to models of delayed vectorborne diseases and delayed protein degradation.
0

3551
3565


Mayadah
Ghaffar
Department of Physics, College of Science, Tikrit University, Tikrit, Iraq
Iraq
ms.mayadah.ph.sc@tu.edu.iq


Fadhel
Fadhel
Department of Mathematics and Computer Applications, College of Science, AlNahrain University, Baghdad, Iraq
Iraq
fsf@sc.nahrainuniv.edu.iq


Nabeel
Arif
Department of Mathematics, College of Computer Science and Mathematics, Tikrit University, 34001, Tikrit, Iraq
Iraq
nabarif@tu.edu.iq
Delay differential equations differential transform method
Modified differential transform method
Tarig transformation
The Pade approximation
TPDTM
VectorBorne Diseases
1

Some fractional weighted trapezoid type inequalities for preinvex functions
https://ijnaa.semnan.ac.ir/article_6138.html
10.22075/ijnaa.2021.23653.2574
1
In this paper, we establish a weighted integral identity for preinvex functions. Some new trapezoidal type inequalities are derived for functions whose modulus of the first derivatives are preinvex via RiemannLiouville fractional operators.
0

3567
3587


Abdelghani
Lakhdari
Higher School of Industrial Technologies  Annaba.
PO.Box 218, 23000 Annaba, Algeria
Algeria
a.lakhdari@estiannaba.dz


Badreddine
Meftah
Laboratoire des telecommunications, Faculte des
Sciences et de la Technologie, University of 8 May 1945 Guelma, P.O. Box
401, 24000 Guelma, Algeria
Algeria
badrimeftah@yahoo.fr
Weighted functions
preinvex functions
Holder inequality
Condition C
1

The algebra fuzzy norm of the quotient space and pseudo algebra fuzzy normed space
https://ijnaa.semnan.ac.ir/article_6139.html
10.22075/ijnaa.2022.6139
1
The principle aim of this article is to use the notion of algebra fuzzy normed space and its basic properties in order to introduce the notion of algebra fuzzy norm of the quotient space. If the quotient space is fuzzy complete then we prove that U is fuzzy complete. Also, we introduce the notion of pseudo algebra fuzzy normed space and investigate the basic properties of this space. In this direction we define a relation $sim $ on $ U $ in order to introduce the space $widehat{{U}}$ of classes $widehat{ u } =[u]= {z in U: z sim u } $. If U is pseudo algebra fuzzy normed space then we prove that $widehat{{U}}$ is algebra fuzzy normed space also if U is a fuzzy complete we prove that $widehat{{U}}$ is fuzzy complete.
0

3589
3597


Zainab
Khudhair
Branch of Mathematics and Computer Applications, Department of Applied Sciences, University of Technology, Baghdad, Iraq
Iraq
10046@uotechnology.edu.iq


Jehad
Kider
Branch oh Mathematics and Computer Applications, School of Applied Sciences, University of Technology, Iraq.
Iraq
jehad.r.kider@uotechnology.edu.iq
Algebra fuzzy absolute space
Algebra fuzzy normed space
Fuzzy complete
Fuzzy bounded linear operator
1

Computerbased plagiarism detection techniques: A comparative study
https://ijnaa.semnan.ac.ir/article_6140.html
10.22075/ijnaa.2022.6140
1
Plagiarism is becoming more of a problem in academics. It's made worse by the ease with which a wide range of resources can be found on the internet, as well as the ease with which they can be copied and pasted. It is academic theft since the perpetrator has "taken" and presented the work of others as his or her own. Manual detection of plagiarism by a human being is difficult, imprecise, and timeconsuming because it is difficult for anyone to compare their work to current data. Plagiarism is a big problem in higher education, and it can happen on any topic. Plagiarism detection has been studied in many scientific articles, and methods for recognition have been created utilizing the Plagiarism analysis, Authorship identification, and Nearduplicate detection (PAN) Dataset 2009 2011. Verbatim plagiarism, according to the researchers, plagiarism is simply copying and pasting. They then moved on to smart plagiarism, which is more challenging to spot since it might include text change, taking ideas from other academics, and translation into a more difficulttomanage language. Other studies have found that plagiarism can obscure the scientific content of publications by swapping words, removing or adding material, or reordering or changing the original articles. This article discusses the comparative study of plagiarism detection techniques.
0

3599
3611


Marwah
Mansoor
Research and Development Department, Ministry of Higher Education and Scientific Research, Iraq
Iraq
mar118wa@gmail.com


Mohammed
AlTamimi
Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq
Iraq
m_altamimi75@yahoo.com
Plagiarism
Academic
Detection
Dataset
Pan
1

Denumerably many positive radial solutions for the iterative system of MinkowskiCurvature equations
https://ijnaa.semnan.ac.ir/article_6141.html
10.22075/ijnaa.2021.23621.2567
1
This paper deals with the existence of denumerably many positive radial solutions to the iterative system of Dirichlet problems$$div(frac{nabla z_j}{sqrt{1nabla z_j^2}})+g_j(z_{j+1})=0 in Omega,$$$$z_j=0 on partialOmega,$$where $jin{1, 2,cdotcdotcdot,n},$ $z_1=z_{n+1},$ $Omega$ is a unit ball in $mathbb{R}^N$ involving the mean curvature operator in Minkowski space by applying Krasnoselskii's fixed point theorem, AveryHenderson fixed point theorem and a new (RenGeRen) fixed point theorem in cones.
0

3613
3632


Khuddush
Mahammad
Department of Mathematics, Dr. Lankapalli Bullayya College, Resapuvanipalem, Visakhapatnam, 530013, India
India
khuddush89@gmail.com


Rajendra Prasad
Kapula
Department of Applied Mathematics, College of Science and Technology, Andhra University, Visakhapatnam, 530003, India
India
krajendra92@rediffmail.com


Bharathi
Botta
Department of Applied Mathematics, College of Science and Technology, Andhra University, Visakhapatnam, 530003, India
India
khuddush89@rediffmail.com
Positive radial solution
Minkowskicurvature equation
Fixed point theorem
cone
1

Impact of technology on the financial performance of selected nationalized and private sector banks in India
https://ijnaa.semnan.ac.ir/article_6142.html
10.22075/ijnaa.2022.6142
1
The study assessed the financial performance of banks which found that usage of technology grew with each passing year. As a result of the effective use of technology, banks have been able to manage the increasing transaction volumes that come with a larger customer base in a more accurate and timely manner. The study's major goal was to analyze the impact of technology on the financial performance of a number of Indian banks, both public and private. The data was gathered via secondary sources in order to examine the impact of technology on financial performance. The data were evaluated using descriptive analysis and the ttest, which revealed a substantial difference in the financial performance of selected Indian nationalized and private sector banks. Financial indicators such as cash deposit ratio, the ratio of deposits to total liabilities, ratio of term loans to total advances and ratio of equity showed a significant difference in the financial performance of selected nationalized and private sector banks in the country.
0

3633
3643


Jaafar
Al Shawi
DOS in Economics and Cooperation, University of Mysore, Manasagangothri, Mysuru, India
India
jafferalshawi@gmail.com


D.
Gopalappa
DOS in Economics and Cooperation, University of Mysore, Manasagangothri, Mysuru, India
India
Cash Deposit Ratio
Indian Banking Sector
Financial Performance
Nationalized Banks
Private Sector Banks
Ratio of Deposits to Total Liabilities
Ratio of Term Loans to Total Advances and Ratio of Equity
1

Measuring the efficiency of three methods for estimating the parameters and reliability of a twoparameter weighted exponential distribution
https://ijnaa.semnan.ac.ir/article_6143.html
10.22075/ijnaa.2022.6143
1
The purpose of this research is to investigate a weighted exponential distribution with two parameters [shape & scale], including calculating the cumulative distribution and reliability functions, as well as estimating the two parameters and reliability function using three methods (MLE, MOM, Jackknife), and comparing the results using MSE with simulation. The results show the jackknife estimator of parameters and reliability function is the best.
0

3645
3652


Awatif
AlDubaicy
Department of Mathematics, College of Education, ALMustansiriyah University, Baghdad, Iraq
Iraq
draraldubaicy@yahoo.com
estimate
Jackknife
MLE
MOM
reliability function
weighted exponential distribution
1

Sustainability in industrial sites
https://ijnaa.semnan.ac.ir/article_6144.html
10.22075/ijnaa.2022.6144
1
Sustainability in industrial locational obstructs Industrial locations are considered one of the most important sources of pollution in the environment, so the research dealt with the concept of modern sustainability, which is expressed by the cost of environmental degradation (environmental costs) and how it affects the selection of the appropriate industrial site. To reduce the levels of increasing deterioration with economic, social, and environmental impact.
0

3653
3664


Shmoos
Jabbar
ALEsraa University College, Department of Civil Engineering, Baghdad, Iraq
Iraq
shmoos@esraa.edu.iq


Said
Mohsen
ALEsraa University College, Department of Civil Engineering, Baghdad, Iraq
Iraq


Ameer
Juwad
Karbala Center for Studies and Research, Iraq
Iraq
Sustainability
Industrial Sites
Cost of Environmental Degradation
1

Finger vein recognition based on PCA and fusion convolutional neural network
https://ijnaa.semnan.ac.ir/article_6145.html
10.22075/ijnaa.2022.6145
1
Finger vein recognition and user identification is a relatively recent biometric recognition technology with a broad variety of applications, and biometric authentication is extensively employed in the information age. As one of the most essential authentication technologies available today, finger vein recognition captures our attention owing to its high level of security, dependability, and track record of performance. Embedded convolutional neural networks are based on the early or intermediate fusing of input. In early fusion, pictures are categorized according to their location in the input space. In this study, we employ a highly optimized network and late fusion rather than early fusion to create a Fusion convolutional neural network that uses two convolutional neural networks (CNNs) in short ways. The technique is based on using two similar CNNs with varying input picture quality, integrating their outputs in a single layer, and employing an optimized CNN design on a proposed Sains University Malaysia (FVUSM) finger vein dataset 5904 images. The final pooling CNN, which is composed of the original picture, an image improved using the contrast limited adaptive histogram (CLAHE) approach and the Median filter, And, using Principal Component Analysis (PCA), we retrieved the features and got an acceptable performance from the FVUSM database, with a recognition rate of 98.53 percent. Our proposed strategy outperformed other strategies described in the literature.
0

3667
3681


Mohammed
AlTamimi
Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq
Iraq
m_altamimi75@yahoo.com


Ruaa
ALKhafaji
Computer Science Department, College of Science, University of Baghdad, Baghdad, Iraq
Iraq
ruaa.salman1201@sc.uobaghdad.edu.iq
Finger vein
CNN
CLAHE
Median Filter
PCA
FVUSM
1

Wavelet estimation of fractional cointegration vector for multivariate time series
https://ijnaa.semnan.ac.ir/article_6146.html
10.22075/ijnaa.2022.6146
1
Cointegration analysis is one of the most active areas in the econometrics and time series where different methods are introduced for identifying and estimating cointegration vectors in fractionally integrated time series. In this paper, we estimate the fractional cointegration vector by fully modified narrow band least squares method (FMNBLS) and a proposed method, depending on a linear regression model and wavelet theory, and assuming the errors of the model following ARFIMA model, also estimate the fractional parameter (long memory parameter) for each variable depending on the Wavelet Whittle method. These methods were applied on simulated multivariate data for functional magnetic resonance imaging (fMRI) using the R program and programming the proposed method by MATLAB program.
0

3683
3695


Ammar
Saber
Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
Iraq
ammar.m@coadec.uobaghdad.edu.iq


Rabab
Saleh
Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
Iraq
rabab.saleh@coadec.uobaghdad.edu.iq
fractional integration
fractional cointegration vector
VARFIMA
wavelet transformation
Linear regression model
fMRI Data
1

Error grid analysis evaluation of noninvasive blood glucose monitoring system of diabetic Covid19 patients
https://ijnaa.semnan.ac.ir/article_6147.html
10.22075/ijnaa.2022.6147
1
Due to the lifethreatening dangers of diabetic disease and the rapid spread of the Corona pandemic, the demand for continuous glucose monitoring systems increases, especially that complemented with telemedicine technologies. During and after the corona pandemic, the number of diabetes patients is anticipated to rise rapidly. This study aims to learn the interaction between diabetes and COVID19 and the health complication, owing to control blood glucose levels to decrease these complications. Careful blood sugar control is essential because the poorer health results are strongly linked with greater blood sugar levels in COVID19 infection patients. The noninvasive glucose detection system is vital to control diabetic COVID19 patients' health cases. The noninvasive blood glucose monitoring system is based on acoustooptic RamanNath interaction using 2MHz ultrasound and 980nm IR laser. Clark's Error Chart and Parkes Error Grid are used for evaluating the noninvasive blood glucose monitoring system and show a promising evaluation result.
0

3697
3706


Lina
Bachache
Biomedical Engineering Department, College of Engineering, AlNahrain University, Baghdad, Iraq
Iraq
lina_nasseer@yahoo.com


Auns
AlNeami
Biomedical Engineering Department, College of Engineering, AlNahrain University, Baghdad, Iraq
Iraq
uns_alneami@eng.nahrainuniv.edu.iq


Jamal
Hasan
Biomedical Engineering Department, College of Engineering, AlNahrain University, Baghdad, Iraq
Iraq
jamalabduljabar@eng.nahrainuniv.edu.iq
Clark's Error Chart
Parkes Error Grid
Diabetic
COVID19
Blood glucose detection
Noninvasive detection
Acoustooptic
NIR
Thin piezoelectric crystal
1

Improving completion time and execution time using FSMPIA: A case study
https://ijnaa.semnan.ac.ir/article_6148.html
10.22075/ijnaa.2022.6148
1
Cloud computing (CC) has facilitated the use, access, and storage of resources via sharing them with customers of different organizations. To shorten the completion time and execution time, we introduced the fuzzy kmeans (FKM) clustering method, which is based on the new fuzzy entropy. This method was combined with Greedy_SMPIA, MaxMin_SMPIA, MinMin_SMPIA, GA_SMPIA and PSO_SMPIA to make virtual machines (VMs) smarter. The FKM clustering method was implemented for both NonSMPIA and SMPIA. The simulation results in MATLAB showed that the improvement of completion time of tasks with GA_SMPIA was up to 88.43% more than other studied methods. Execution time was improved also further improved to 55.37% compared to the other methods studied. The fuzzy smart MPI approach (FSMPIA) performs better than NonFSMPIA. Also, a comparison of both methods shows that the FSMPIA performance is 32.49% and 11.26% higher than that of the SMPIA in terms of competition time and resource utilization (RU), respectively.
0

3707
3721


Mehran
Mokhtari
College of Skills and Entrepreneurship, Qaemshar Branch, Islamic Azad University, Qaemshar, Iran
Iran
mehrmokhtari@yahoo.com


Peyman
Bayat
Department of Computer Engineering, Rasht Branch, Islamic Azad University, Rasht, Iran
Iran
drbayat.iau@gmail.com
cloud computing
completion time
execution time
resource utilization
SMPIA
fuzzy kmean
1

Comparison between some estimation methods for an intuitionistic fuzzy semiparametric logistic regression model with practical application about covid19
https://ijnaa.semnan.ac.ir/article_6149.html
10.22075/ijnaa.2022.6149
1
In this paper, the intuitionistic fuzzy set and the triangular intuitionistic fuzzy number were displayed, as well as the intuitionistic fuzzy semiparametric logistic regression model when the parameters and the dependent variable are fuzzy and the independent variables are crisp. Two methods were used to estimate the model on fuzzy data representing Coronavirus data, which are the suggested method and {The Wang et al method}, through the mean square error and the measure of goodnessoffit, the suggested estimation method was the best.
0

3723
3732


Ayad
Shemail
Department of Statistics, College of Administration and Economics, University of Diyala, Iraq
Iraq
ayadstatistic@uodiyala.edu.iq


Mohammed
Mohammed
Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
Iraq
m.jasim@coadec.uobaghdad.edu.iq
intuitionistic fuzzy set
the triangular intuitionistic fuzzy number
fuzzy data
Mean Square Error
goodnessoffit
1

Reparameterization and the conditional inverse of a balanced factorial experiment with three factors
https://ijnaa.semnan.ac.ir/article_6150.html
10.22075/ijnaa.2022.6150
1
In this research, a factorial experiment $2^3$ was studied through a balanced mathematical model applied in a complete random design (CRD) to show the effect of the main factors and the interactions between the factors through the use of the general linear model in which the design matrix $(X^{'}X)$ has less than full rank and thus the parameters vector $(beta)$ is neither estimable nor testable. Therefore, the reparameter method and conditional inverse were used to transform the design matrix $(X^{'}X)$ to a fullrank matrix, so that the parameters vector $(beta)$ is capable of estimable and testable, after analyzing the experiment data and testing hypotheses it was found that the interactions ${(alphabetagamma)}_{ijk}^{*}$ and ${(alphabeta)}_{i j}^{*}$ are not significant, while the factors ${(alpha)}_{i}^{*}$, ${(beta)}_{j}^{*}$, ${(gamma)}_{k}^{*}$ and the interactions ${(alphagamma)}_{ik}^{*}$ and ${(betagamma)}_{jk}^{*}$ have significant effects.
0

3733
3747


Wisam
Saleem
Department of Statistics and Informatics, Mosul University, Iraq University, Iraq
Iraq
wisam.saleem1101@coadec.uobaghdad.edu.iq


Asmaa
Jaber
Department of Statistics, Baghdad University, Iraq
Iraq
drasmaa.ghalib@coadec.uobaghdad.edu.iq
Three factors
balanced
estimable
Treatment
general linear model
testable
less than full rank
conditional inverse
ANOVA
full rank
test
statistic
generalization
reparameterization
1

The smallest size of the arc of degree three in a projective plane of order sixteen
https://ijnaa.semnan.ac.ir/article_6151.html
10.22075/ijnaa.2022.6151
1
An $(n;3)$arc in projective plane $PG(2,q)$ of size n and degree three is a set of n points such that no four of them collinear but some three of them are collinear.An $(n;r)$arc is said to be complete if it is not contained in $(n+1;r)$arc. The aim of this paper is to construct the projectively distinct$(n;3)$arcs in $PG(2,16)$, determined the smallest complete arc in $PG(2,16)$ then the stabilizer group of these arcs are established and we have identified the group with which it's isomorphic.
0

3749
3764


Najm
AlSeraji
Department of Mathematics, College of Science, Mustansiriyah University, Baghdad, Iraq
Iraq
dr.najm@uomustansiriyah.edu.iq


Dunia
Jarwan
Department of Mathematics, College of Science, Mustansiriyah University, Baghdad, Iraq
Iraq
duniajar8880@yahoo.com
Projective plane
Complete Arc
1

On some topological concepts via grill
https://ijnaa.semnan.ac.ir/article_6158.html
10.22075/ijnaa.2022.6158
1
In this work, the new grill concepts are studied using grill topological spaces and by using some defined sets where the set $alpha$open sets are defined. Properties of this set and some relationships were presented, in addition to studying a set of functions, including open, closed and continuous functions, finding the relationship between them and giving examples and properties that belong to this set, which will be a starting point for studying many topological properties using this set.
0

3765
3772


Saad
Suliman
Department of Mathematics College of Education for Pure Science, Ibn AlHaitham University of Baghdad, Iraq
Iraq
saadsadeq05@gmail.com


R.
Esmaeel
Department of Mathematics College of Education for Pure Science, Ibn AlHaitham University of Baghdad, Iraq
Iraq
Grill
$alpha$open sets
$alpha$closed sets
₢*$alpha$open function
₢*$alpha$c function
1

Review of SQL injection attacks: Detection, to enhance the security of the website from clientside attacks
https://ijnaa.semnan.ac.ir/article_6152.html
10.22075/ijnaa.2022.6152
1
The importance of cybersecurity in protecting data and information is huge in this era of technology. With the number of cyberattacks increasing daily, the security system has been developing for several years because we have been concerned about predicting and preventing cyberattacks. The top 10 security threats identified by the OWASP are injection attacks. The most common vulnerability is SQL injection and is the most dangerous security vulnerability due to the multiplicity of its types and the rapid changes that can be caused by SQL injection and may lead to financial loss, data leakage, and significant damage to the database and this causes the site to be paralyzed. Detecting SQL injections is still a difficult task. How to successfully defend against SQL injection attacks has become the focus and frontier of web security in recent years. Machine learning has proven successful against these threats and effectively prevents and detects crosssite scripting and SQL input in web applications. Machine learning is used to analyze and identify security vulnerabilities. It uses classic machine learning algorithms and deep learning to evaluate the classified model using input validation features.
0

3773
3782


Manar
ALMaliki
Computer science Department, Informatics Institute for Postgraduate Studies, Iraq
Iraq
manarh637@gmail.com


Mahdi
Jasim
University of Information Technology and Communications, Iraq
Iraq
mahdinsaif@uoitc.edu.iq
Machine Learning, SQL Injection
Neural Network, Deep Learning Introduction
1

A comparative study and overview on the magnetic resonance images skull stripping methods and their correspondence techniques
https://ijnaa.semnan.ac.ir/article_6164.html
10.22075/ijnaa.2022.6164
1
It is crucial to remember that the brain is a part of the body responsible for a wide range of sophisticated bodily activities. Brain imaging can be used to diagnose a wide range of brain problems, including brain tumours, strokes, paralysis, and other neurological conditions. An imaging technique known as Magnetic Resonance Imaging (MRI) is a relatively new method that can classify and categorize the brain nonbrain tissues through highresolution imaging's. For automated brain picture segmentation and analysis, the existence of these nonbrain tissues is seen as a critical roadblock to success. For quantitative morphometric examinations of MR brain images, skullstripping is often required. Skullstripping procedures are described in this work, as well as a summary of the most recent research on skullstripping.
0

3783
3802


Rasha
Nayyef
Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq
Iraq
rasha.helmi1986@gmail.com


Mohammed
AlTamimi
Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq
Iraq
m_altamimi75@yahoo.com
Magnetic Resonance Image
Brain
Skullstripping
Segmentation
Convolutional Neural Network
feature extraction
1

Some results for generalizations of semiopen sets in topological spaces
https://ijnaa.semnan.ac.ir/article_6165.html
10.22075/ijnaa.2022.6165
1
This research generalized new types of semiopen sets using the concept of the grill and studied its properties, as well as the relationship between it and old concepts defined, as well as defining a new type of functions such as open and closed sets and determining the relationship between them, and providing many examples and properties that belong to this set, and this set will be a starting point to investigate the many futures of this set.
0

3803
3809


Ali
Mahmood
Department of Mathematics, College of Education for Pure Science, Ibn AlHaitham University of Baghdad, Iraq
Iraq
ali.jamal1203a@ihcoedu.uobaghdad.edu.iq


A.
Naser
Department of Mathematics, College of Education for Pure Science, Ibn AlHaitham University of Baghdad, Iraq
Iraq
ahmed_math06@yahoo.com
Grill
semiopen sets
semiclosed sets
₲textsuperscript{*}so function
₲textsuperscript{*}sc function
1

Face mask detection methods and techniques: A review
https://ijnaa.semnan.ac.ir/article_6166.html
10.22075/ijnaa.2022.6166
1
Corona virus sickness has become a big public health issue in 2019. Because of its contacttransparent characteristics, it is rapidly spreading. The use of a face mask is among the most efficient methods for preventing the transmission of the Covid19 virus. Wearing the face mask alone can cut the chance of catching the virus by over 70%. Consequently, World Health Organization (WHO) advised wearing masks in crowded places as precautionary measures. Because of the incorrect use of facial masks, illnesses have spread rapidly in some locations. To solve this challenge, we needed a reliable mask monitoring system. Numerous government entities are attempting to make wearing a face mask mandatory; this process can be facilitated by using face mask detection software based on AI and image processing techniques. For face detection, helmet detection, and mask detection, the approaches mentioned in the article utilize Machine learning, Deep learning, and many other approaches. It will be simple to distinguish between persons having masks and those who are not having masks using all of these ways. The effectiveness of mask detectors must be improved immediately. In this article, we will explain the techniques for face mask detection with a literature review and drawbacks for each technique.
0

3811
3823