2022
13
0
0
163
1

Global attractivity results for a class of matrix difference equations
https://ijnaa.semnan.ac.ir/article_6326.html
10.22075/ijnaa.2021.6326
1
In this chapter, we investigate the global attractivity of the recursive sequence ${mathcal{U}_n} subset mathcal{P}(N)$ defined by[mathcal{U}_{n+k} = mathcal{Q} + frac{1}{k} sum_{j=0}^{k1} mathcal{A}^* psi(mathcal{U}_{n+j}) mathcal{A}, n=1,2,3ldots,]where $mathcal{P}(N)$ is the set of $N times N$ Hermitian positive definite matrices, $k$ is a positive integer,$mathcal{Q}$ is an $N times N$ Hermitian positive semidefinite matrix, $mathcal{A}$ is an $N times N$ nonsingular matrix, $mathcal{A}^*$ is the conjugate transpose of $mathcal{A}$ and $psi : mathcal{P}(N) to mathcal{P}(N)$ is a continuous. For this, we first introduce $mathcal{FG}$Prev{s}i'c contraction condition for $f: mathcal{X}^k to mathcal{X}$ in metric spaces and study the convergence of the sequence ${x_n}$ defined by[x_{n+k} = f(x_n, x_{n+1}, ldots, x_{n+k1}), n = 1, 2, ldots]with the initial values $x_1,ldots, x_k in mathcal{X}$. We furnish our results with some examples throughout the chapter. Finally, we apply these results to obtain matrix difference equations followed by numerical experiments.
0

1
15


Sourav
Shil
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore632014, TN, India
India
sourav.shil@vit.ac.in


Hemant
Nashine
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore632014, TN, India
India
hemant.nashine@vit.ac.in
fixed point approximation
iterative method
matrix difference equation
equilibrium point
global attractivity
1

Solutions of integral equations via fixed point results in extended Branciari bdistance spaces
https://ijnaa.semnan.ac.ir/article_6327.html
10.22075/ijnaa.2021.6327
1
In this work, we prove the existence of the solution of integral equations via fixed point results in the framework of extended Branciari $b$distance spaces. In order to do this, we introduce ${FG}$contractive conditions in extended Branciari $b$distance spaces and derive common fixed points results for triangular $alpha$admissible mappings, followed by some suitable examples.
0

17
29


Usha
Bag
VIT Bhopal University, Mathematics Division, SASL, India
India
usha.bag2019@vitbhopal.ac.in


Reena
Jain
VIT Bhopal University, Mathematics Division, SASL, India
India
reena.jain@vitbhopal.ac.in
Fixed point
extended Branciari $b$distance spaces
triangular $alpha$admissible mappings
integral equations
1

Results on coupled common fixed point by applying a new approach of $Y$cone metric spaces
https://ijnaa.semnan.ac.ir/article_6328.html
10.22075/ijnaa.2022.6328
1
The main motive of this paper is to discuss coupled coincidence points in the setting of the newly established concept $Y$cone metric spaces. We obtain coupled coincidence point theorems through mixed monotone mappings in ordered $Y$cone metric spaces. We give an illustrative example, which constitutes the main theorem.
0

31
42


Richa
Sharma
Department of Mathematics, Chandigarh University, Mohali, India
India
richa.tuknait@yahoo.in


Virendra Singh
Chouhan
Department of Mathematics and Statistics, Manipal University Jaipur, India
India
darbarvsingh@yahoo.com


Rahul
Shukla
Department of Mathematics and Applied Mathematics, University of Johannesburg, Auckland Park 2006, South Africa
South Africa
rshukla.vnit@gmail.com
coupled common fixed point
mixed gmonotone maps
$Y$cone metric space
1

Redefined neutrosophic composite relation and its application in medical diagnosis
https://ijnaa.semnan.ac.ir/article_6329.html
10.22075/ijnaa.2022.6329
1
In this article, we redefine the singlevalued neutrosophic composite relation and apply it to medical diagnosis. We also show that the redefined neutrosophic composite relation gives a better result.
0

43
52


Sudeep
Dey
Department of Mathematics, Science College, Kokrajhar, Assam, India
India
sudeep.dey.1976@gmail.com


Gautam
Ray
Department of Mathematics, Central Institute of Technology, Kokrajhar, Assam, India
India
gautomofcit@gmail.com
Single valued neutrosophic set
Single valued neutrosophic relation
Single valued neutrosophic composite relation
Neutrosophic medical diagnosis
1

Efficient binary grasshopper optimization based neural network algorithm for bitcoin value prediction
https://ijnaa.semnan.ac.ir/article_6330.html
10.22075/ijnaa.2022.6330
1
Digital currency plays a vital role in the process of trading as it helps the sellers and buyers to earn more profit. In today’s world, many categories of cryptocurrencies exist and each one of them employs its own security algorithms. Bitcoin price prediction is a complex problem that needs advanced algorithms to solve exactly. In this paper, swarmbased intelligence algorithms are applied in order to solve the bitcoin value prediction problem. In particular, Ant Colony Optimization and Binary Grasshopper Optimization algorithms are combined as a hybrid framework to select the most critical features in the dataset for bitcoin value prediction. The extracted features from the hybrid model are given as input to the convolutional neural network to predict the price of the bitcoins. As per the experimental results, the proposed hybrid algorithm produces better results when compared with the standalone version of grasshopper and neural network algorithms.
0

53
60


A. Saran
Kumar
Department of CSE, Bannari Amman Institute of Technology, Erode, Tamilnadu, India
India
saran.cit92@gmail.com


S.
Priyanka
Department of CSE, Bannari Amman Institute of Technology, Erode, Tamilnadu, India
India
priyanka@bitsathy.ac.in


K.
Dhanashree
Department of CSE, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, India
India
dhanu1304@gmail.com


V.
Praveen
Department of CSE, Bannari Amman Institute of Technology, Erode, Tamilnadu, India
India
praveen@bitsathy.ac.in


R.
Rekha
Department of IT, PSG College of Technology, Coimbatore, Tamilnadu, India
India
rekha.psgtech@gmail.com
Bitcoin
Value Prediction
Optimization Algorithm
Binary Grasshopper Algorithm
CNN Algorithm
1

Fingernail analysis for early detection and diagnosis of diseases using machine learning techniques
https://ijnaa.semnan.ac.ir/article_6331.html
10.22075/ijnaa.2022.6331
1
Each and every human have unique fingernails. In the early days, the psychological conditions of the human body were reflected with the help of the growth situation of the surface of nails. It is possible to diagnose human nails and predict the disease. Predicting the disease at the early stage helps in preventing the disease. In this proposed work, the image of the nail is taken from a microscopic image. The lunula and nail plate are segmented effectively using the image preprocessing techniques. Histograms of oriented gradients and local binary patterns are used to capture the characteristic value. Once after preprocessing various features of the nails are extracted using various machine learning algorithms such as Support Vector Machines, Multiclass Support Vector Machine, Convolution Neural Network along with an Optimization algorithm named Ant Colony Optimization to improve the efficiency of classification.
0

61
69


K.
Dhanashree
Department of CSE, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
India
dhanu1304@gmail.com


P.
Jayabal
Department of Mathematics, Rathinam Technical Campus, Coimbatore, Tamil Nadu, India
India
kongu2008@gmail.com


A.
Kumar
Department of CSE, Bannari Amman Institute of Technology, Erode, Tamil Nadu, India
India
sarankumar@bitsathy.ac.in


S.
Logeswari
Department of CSE, Bannari Amman Institute of Technology, Erode, Tamil Nadu, India
India
logeswari@bitsathy.ac.in


K.
Priya
Department of Information Technology,Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India
India
ranjeethapriya.k@gmail.com
Local binary pattern (LBP)
Block Chain Technology (BCT)
Machine Learning (ML)
1

Feature fusion of fruit image categorization using machine learning
https://ijnaa.semnan.ac.ir/article_6332.html
10.22075/ijnaa.2022.6332
1
Fruit Categorization is a classification problem that the agricultural fruit industry needs to solve in order to reduce the postharvesting losses that occur during the traditional system of manual grading. Fruit grading which involves categorization is an important step in obtaining high fruit quality and market demand. There are various feature selection challenges in agriculture produced especially fruit grading to build an appropriate machine learning approach to solve the problem of reducing losses. In this paper, we describe different features, a machine learning technique that has been recently applied to different fruit classification problems producing a promising result. We discuss the feature extraction method, technique used in image classification applications for fruit prediction. A proposed multiclass fruit classification model is theoretically described and their most distinguishing features and technique is then presented at the end of this paper.
0

71
76


Shameem
Fatima
Department of Computer Science, GITAM University, Visakhapatnam, India
India
ksufatima@gmail.com


M.
Seshashayee
Department of Computer Science, GITAM University, Visakhapatnam, India
India
Fruit Classification
Feature Fusion
feature extraction
Multiclass SVM
1

Results on coupled fixed point involving altering distances in metric spaces
https://ijnaa.semnan.ac.ir/article_6333.html
10.22075/ijnaa.2022.6333
1
The objective of this paper is to demonstrate the results of coupled fixed point that possesses the property of mixed monotone involving altering distance functions in the framework of partially ordered metric spaces. To illustrate our results, we provide an example.
0

77
87


Richa
Sharma
Department of Mathematics, Chandigarh University, Mohali, India
India
richa.tuknait@yahoo.in


Ruchika
Mehta
Department of Mathematics and Statistics, Manipal University Jaipur, India
India
ruchika.mehta1981@gmail.com


Virendra Singh
Chouhan
Department of Mathematics and Statistics, Manipal University Jaipur, India
India
darbarvsingh@yahoo.com
Coupled fixed point
partial ordered
Complete metric space
1

Comparative performance analysis of various digital image edge detection techniques with hybrid edge detection technique which is developed by combining second order derivative techniques log and Canny
https://ijnaa.semnan.ac.ir/article_6334.html
10.22075/ijnaa.2022.6334
1
Edge detection is a digital image processing technique to find the boundaries or edges of an image or object through brightness discontinuity. There are many operators to get boundaries or edges but we need more effective and accurate methods. This paper will provide a comparison of hybrid techniques that combine secondorder derivative techniques Log and Canny, With Conventional Sobel, Prewitt, Roberts, Canny and Log Operators Edge Detector Techniques With regard to visual inspection, Mean Square Error (MSE), Root Mean Square Error (RMSE), signal to noise ratio (SNR), peak signal to noise ratio (PSNR), meanabsolute error (MAE) and Bit error, etc.
0

89
95


Pratima
Dubey
Department of Electronics and Comm. Engineering, S. V. Polytechnic College, Bhopal, (M.P.), India
India
pratimadubeysvp@gmail.com


Prashant
Dubey
Department of Electronics and Comm. Engineering, S. V. Polytechnic College, Bhopal, (M.P.), India
India
prashantdubeysvp@gmail.com


Mayank
Sharma
Mathematics Division, SASL, VIT University Bhopal, (M.P.), India
India
mayank.sharma@vitbhopal.ac.in


Soni
Changlani
Department of Electronics and Comm. Engineering, LNCT College, Bhopal (M.P.), India
India
Hybrid technique
Sobel operator
Prewitt operator
Roberts operator
canny operator
log operator
Edge detection
mean square error (MSE)
Root mean square error (RMSE)
mean absolute error (MAE)
signal to noise ratio(SNR)
Peak Signal to noise ratio (PSNR)
Bit error
1

Best proximity point theorem in higher dimensions with an application
https://ijnaa.semnan.ac.ir/article_6335.html
10.22075/ijnaa.2022.6335
1
In this article, we introduce the notion of $F_n$contractions $T:A^nrightarrow B$ in standard metric spaces and explore the possibility of certain approximation results for these mappings. We prove the existence and uniqueness of $n$tuple ($n geq 2$) best proximity points of $F_n$contractions, not necessarily continuous, using the weak $P$property in complete metric spaces. Additionally, suitable examples are presented to substantiate our main results. Moreover, we anticipate a fixed point result to prove the existence and uniqueness of the solution for a type of integral equation to elucidate our obtained theorems.
0

97
108


Saranan
Mondal
Department of Mathematics, National Institute of Technology, Durgapur, West Bengal, India
India
sarananjdu@gmail.com


Supriti
Laha
Department of Mathematics, National Institute of Technology, Durgapur, West Bengal, India
India
lahasupriti@gmail.com


Ankush
Chanda
Department of Mathematics, Vellore Institute of Technology, Vellore, India
India
ankushchanda8@gmail.com
$F_n$contractions
best proximity points
$P$property
weak $P$property
$n$tuple best proximity points
1

Strong biideals in binear subtraction semigroup
https://ijnaa.semnan.ac.ir/article_6336.html
10.22075/ijnaa.2022.6336
1
We study certain things connecting strong biideals of binear subtraction semigroup in a sub commutative $S$binear subtraction semigroup. A biideals $B$ of $X$ is strong biideals if $X_1B_1^2subseteq B_1$ (or $X_2B_2^2subseteq B_2$) denotes $XB^2subseteq B$.
0

109
116


M.
Banu
Department of Mathematics, Sri Parasakthi College for Women, Courtallam, Tamil Nadu627801, India
India
athiya3@gmail.com


S.
Jayalakshmi
Department of Mathematics, Sri Parasakthi College for Women, Courtallam, Tamil Nadu627801, India
India
jayarajkutti@gmail.com
$S$binear subtraction semigroup
sub commutative
biideals
1

Comparative performance analysis of spatial domain filtering techniques in digital image processing for removing different types of noise
https://ijnaa.semnan.ac.ir/article_6337.html
10.22075/ijnaa.2022.6337
1
The reduction of the noise of the images always prevails as a challenge in the field of image processing. An image obtained after the elimination of noise has a higher clarity in terms of interpretation and study analysis in different fields such as medical, satellite and radar. This research work examines the various methods of denoise images in the spatial domain and a comparison between several filtering techniques is carried out in the presence of different types of noise to achieve a highquality image and to find the most suitable and reliable method for Denoising images. performance of all the filters is compared using parameters such as Mean Square Error (MSE), peak signal to noise ratio (PSNR).
0

117
125


Prashant
Dubey
Department of Electronics and Comm. Engineering, S. V. Polytechnic College, Bhopal, (M.P.), India
India
prashantdubeysvp@gmail.com


Pratima
Dubey
Department of Electronics and Comm. Engineering, S. V. Polytechnic College, Bhopal, (M.P.), India
India
pratimadubeysvp@gmail.com


Mayank
Sharma
Mathematics Division, SASL, VIT University Bhopal, (M.P.), India
India
mayank.sharma@vitbhopal.ac.in


Soni
Changlani
Department of Electronics and Comm. Engineering, LNCT College, Bhopal (M.P.), India
India
Image processing
Noise Removal
filtering techniques
mean square error (MSE)
signal to noise ratio(SNR)
Peak Signal noise ratio(PSNR)
1

On weak $B$biregular binear subtraction semigroup
https://ijnaa.semnan.ac.ir/article_6338.html
10.22075/ijnaa.2022.6338
1
We introduce weak $B$biregular in binear subtraction semigroup and obtain properties of the same in a certain class of binear subtraction semigroup of $X$.
0

127
132


M.
Banu
Department of Mathematics, Sri Parasakthi College for Women, Courtallam, Tamil Nadu627801, India
India
athiya3@gmail.com


S.
Jayalakshmi
Department of Mathematics, Sri Parasakthi College for Women, Courtallam, Tamil Nadu627801, India
India
jayarajkutti@gmail.com
weak $B$biregular
$B$biregular
biregular
$bar{S}$binear subtraction semigroup
left (right) Xbialgebra
1

A novel numerical technique and stability criterion of VF type integrodifferential equations of noninteger order
https://ijnaa.semnan.ac.ir/article_6339.html
10.22075/ijnaa.2022.6339
1
In this article, Ulam Hyers stability of Volterra Fredholm (VF) type fractional integrodifferential equation is studied by the fixed point notion in the generalized metric space. In addition, the efficiency of the Laplace decomposition method in the context of solving some integral equations of the Volterra Fredholm type is shown. Further convergence analysis of the numerical scheme is shown.
0

133
145


Dipankar
Saha
Department of Mathematics, National Institute of Technology Silchar, Assam, India
India
nayan0507@gmail.com


Nimai
Sarkar
Department of Mathematics, National Institute of Technology Silchar, Assam, India
India
nimaisarkar298@gmail.com


Mausumi
Sen
Department of Mathematics, National Institute of Technology Silchar, Assam, India
India
senmausumi@gmail.com


Subhankar
Saha
Department of Mechanical Engineering, National Institute of Technology Silchar, Assam, India
India
sahamech90@gmail.com
Fixed point
Ulam Hyers stability
metric space
1

Thermal analysis on two Wheeler Piston with different materials by using FEA method
https://ijnaa.semnan.ac.ir/article_6340.html
10.22075/ijnaa.2022.6340
1
The piston is thought to be a standout amongst the most essential parts in a reciprocating engine, reciprocating pumps, gas blowers and pneumatic barrels, among other comparable mechanisms. As most critical part, is that less time is required to outline the cylinder and simply a couple of essential details of the engine. Actually, due to high heat transfer through the piston, the outer shape of the piston crown will be deformed. So due to this problem here computational testing has been performed on ANSYS simulation software with three different materials and observed that stress of piston with ALSI AI alloy has maximum stress of $50.79 Mpa$ piston made of M124 cast AL composite stress value is $50.54 Mpa$. Furthermore, maximum stress on M124 forged AL alloy is found to be $50.23 Mpa$ and here observe that in case of deformation, piston made of ALSI AI alloy found to have maximum deformation of $1.06 mm$ and when piston made of M124 cast AL combination then maximum deformation is $0.88 mm$. What's more, maximum deformation on M124 forged AL alloy is found to be $0.086 mm$ and here observe that in case of heat flux, piston made of ALSI AI alloy is found to have maximum heat transfer of $3.3 w/mm^2$ is observed. When piston made of M124 cast AL combination then maximum heat transfer of $3.4 w//mm^2$ and maximum heat flux on M124 forged AL alloy is found to be $3.6 w/mm^2$. So the aluminium alloy M124 is the best manufactured composite material So this material is suggested for manufacturing work.
0

147
155


Neha
Choubey
School of Applied Science and Language, VIT Bhopal, University, MP, India
India
neha.choubey@vitbhopal.ac.in


Ashish
Shrivastava
Department of Mechanical Engineering, Sistec R, Bhopal, MP, India
India
ashish.shri.nri@gmail.com


Abhishek
Choubey
Department of Mechanical Engineering, Sistec R, Bhopal, MP, India
India
abhishekchby2@gmail.com


Swapnil
Singh
Department of Mechanical Engineering, Rabindranath Tagore University, Bhopal, MP, India
India
swapnilsingh066@gmail.com


Balendra
Bhaskar
Department of Mechanical Engineering, NIMS University Jaipur Rajasthan India
India
balendra.dream@gmail.com
reciprocating engine
Thermal Analysis
Wheeler Piston
1

Fixed point theory in digital topology
https://ijnaa.semnan.ac.ir/article_6375.html
10.22075/ijnaa.2022.6375
1
In this paper, we review some research works on exploring image processing in digital spaces using fixed point theorems. The basic concepts of digital images are mentioned. Moreover, we prove some theorems on digital metric spaces by replacing the conditions in the previously established theorem with a suitable condition.
0

157
163


R.
Kalaiarasi
Mathematics Division, SASL, VIT Bhopal University 466114(M.P), India
India
kalaiarasi2019@vitbhopal.ac.in


Reena
Jain
Mathematics Division, SASL, VIT Bhopal University 466114(M.P), India
India
reena.jain@vitbhopal.ac.in
fixed point theorems
Banach contraction principle
Digital images
digital contraction
digital metric space