Proceedings of International Conference on Scientific and Natural Computing

Name: Proceedings of International Conference on Scientific and Natural Computing | Proceedings of SNC 2021
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Proceedings of SNC 2021

Dipti Singh Amit K. Awasthi Ivan Zelinka Kusum Deep(Herausgeber*in)

Springer (Verlag)

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Erschienen am 31. Mai 2021

XIII, 320 Seiten

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Dr. Dipti Singh is currently working as an Assistant Professor at Department of Applied Mathematics, Gautam Buddha University, Greater Noida. She received her M.Sc(2002) and Ph.d(2007) degrees from Indian Institute of Technology, Roorkee. She has more than 30 papers in reffered journals of high impact factor/International conferences. She has contributed chapters in many books and also has one Edited book "Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications", DOI:10.4018/978-1-4666-9885-7,to her credit. She has supervised 2 Ph.D thesis, 7 M.sc and 9 M.tech Dissertations. She is life member of Operations Research Society of India, Soft Computing Research Society of India and also Member of International Research Group Unconventional Algorithms and Computing, Czech (NAVY), University of Ostrava. She is the advisory board member of series of International Conference on Soft Computing for Problems Solving (SocProS). Her research interests include Optimization Techniques, Nature Inspired Algorithms, Computational Intelligence, and their application to real life engineering problems.
Dr. Amit K. Awasthi is working as an Assistant Professor at Gautam Buddha University. He achieved Gold Medal in M. Sc. in Mathematics (1999) from M. J. P. Rohilkhand University, Bareilly. He received his Ph.D. in 2007 from Dr. B.R. Ambedkar University, Agra, in Cryptology. His main areas of research interests include Cryptography, Security Protocols, and Coding Theory. He has published more than 30 papers in international journal/conference/Cryptography Archives. He co-edited a volume of LNICST from Springer. He got the certificate for the most cited international research paper from (ESI). He was also appraised by By Elsevier Publishing (New York) for Significant contribution to the scientific community. Where he has served as associate editor in computer and electrical engineering. Currently, he is also serving for the Elsevier journal - computer standard and Interface. He is a member of Indian Mathematical Society, Group for Cryptographic Research, Cryptography Research Society of India, and Computer Society of India.

Ivan Zelinka is currently working at the Technical University of Ostrava (VSB-TU), Faculty of Electrical Engineering and Computer Science. He graduated consequently at Technical University in Brno (1995 - MSc.), UTB in Zlin (2001 - PhD) and again at Technical University in Brno (2004 - assoc. prof.) and VSB-TU (2010 - professor). Before academic career, he was an employed like TELECOM technician, computer specialist (HW+SW) and Commercial Bank (computer and LAN supervisor). During his career at UTB, he proposed and opened more than 10 different lectures series. He also has been invited for lectures at numerous universities in different EU countries as well as keynote and/or tutorial speaker. The field of his expertise if mainly on AI, unconventional algorithms and cybersecurity. He is and was responsible supervisor of numerous grant of fundamental research of Czech grant agency GACR, co-supervisor of grant FRVS - Laboratory of parallel computing. He was also working on numerous grants and two EU project like a member of the team (FP5 - RESTORM) and supervisor (FP7 - PROMOEVO) of the Czech team and supervisor of international (security of mobile devices, Czech - Vietnam) and national applied research (founded by TACR agency). Currently, he is a professor at the Department of Computer Science and in total, he has been the supervisor of more than 50 MSc. and 25 Bc. diploma thesis. Ivan Zelinka is also supervisor of doctoral students including students from the abroad and a guarantor of magister study programme (Cybersecurity) and doctoral programme (Computer sciences). He was awarded by Siemens Award for his PhD thesis, as well as by journal Software news for his book about artificial intelligence. Ivan Zelinka is a member of British Computer Society, Editor in chief of Springer book series: Emergence, Complexity and Computation, Editorial board of Saint Petersburg State University Studies in Mathematics, a few international program committees of various conferences and international journals. He is the author of journal articles as well as of books in Czech and English language and one of three founders of TC IEEE on big data. He is also head of research group NAVY.

Dr. Kusum Deep, is a full Professor, with the Department of Mathematics, Indian Institute of Technology Roorkee, India and Visiting Professor, Liverpool Hope University, UK and University of Technology Sydney, Australia. With B.Sc Hons & M.Sc Hons. School from Centre for Advanced Studies, Panjab University, Chandigarh, she is an M.Phil Gold Medalist. She earned her PhD from UOR (now IIT Roorkee) in 1988. She has been a national scholarship holder and a Post Doctoral from Loughborough University, UK assisted by International Bursary fundedby Commission of European Communities, Brussels. She has won numerous awards like Khosla Research Award, UGC Career Award, Starred Performer of IITR Faculty, best paper awards by Railway Bulletin of Indian Railways, special facilitation in memory of late Prof. M. C. Puri, AIAP Excellence Award. She has authored two books, supervised 20 PhDs, and published 125 research papers. She is a Senior Member of ORSI, CSI, IMS and ISIM. She is the Executive Editor of International Journal of Swarm Intelligence, Inderscience. She is Associate Editor of Swarm and Evolutionary Algorithms, Elsevier and is on the editorial board of many journals. She is the Founder President of Soft Computing Research Society, India. She is the General Chair of series of International Conference on Soft Computing for Problems Solving (SocProS). Her research interests are Evolutionary Algorithms, Swarm Intelligence and nature inspired optimization techniques and their applications

Inhalt

Intro
Preface
Contents
About the Editors
1 Salp Swarm Algorithm for Multimodal Image Registration
1 Introduction
2 Mutual Information-Based Image Registration
3 Salp Swarm Algorithm for Image Registration
4 Experimental Work and Results
4.1 Comparison with Particle Swarm Optimization Algorithm
5 Conclusion
References
2 Multi-objective Chaotic Atom Search Optimization for Epistasis Detection in Genome-Wide Association Studies
1 Introduction
2 Related Work
3 Multi-objective Atom Search Optimization (ASO) for Genetic Interactions
3.1 Multi-objective Chaotic Atom Search Optimization for Epistasis Detection
4 Experimental Results and Discussion
4.1 Simulated Datasets
4.2 Performance Metrics
4.3 Result and Discussion
5 Conclusion
References
3 A New Algorithm for Color-Image Encryption Using 3D-Lorenz Chaotic Map and Random Modulus Decomposition in Transform Domain
1 Introduction
2 Fundamental Knowledge
2.1 2D-Fractional Discrete Cosine Transform
2.2 3D-Lorenz Chaotic Map
2.3 Random Modulus Decomposition Method
3 Color-Image Encryption and Decryption Process
3.1 Key Generation
3.2 Digital Color-Image Encryption Algorithm
3.3 Decryption Algorithm
4 Experimental Results
5 The Security Analysis
5.1 Resistance to Exhaustive Attack
5.2 Differential Attack Analysis
5.3 Statistical Analysis
6 Conclusion
References
4 Optimal Capacity and Location of DGs in Radial Distribution Network Using Novel Harris Hawks Optimization Algorithm
1 Introduction
2 System Description and Problem Formulation
3 Constraints
3.1 Distributed Generator Size Constraint
3.2 Power Balance
3.3 Voltage Constraint
4 Harris Hawks Optimization (HHO)
4.1 Exploration
4.2 Condition of Transition from Exploration to Exploitation
4.3 Exploitation
5 Results and Discussion
6 Conclusion
References
5 Model Order Reduction Using Grey Wolf Optimization and Pade Approximation
1 Introduction
2 Problem Description
3 Explanation of the Methods
3.1 Step 1: Grey Wolf Optimization Technique is Used to Determine the Denominator of Rth Order Reduced Model
3.2 Step 2: For Determining the Numerator of Rth Order Reduced Model, Pade Approximation is Used [1-5]
4 Illustrative Examples
4.1 Example 1: Examine an Eighth Order System Taken from [7, 11, 16- 19]
4.2 Example 2: Examine an Eighth Order System Taken from [6, 13]
5 Conclusions
References
6 Modeling the Effect of Malicious Objects in Sensor Networks and Its Control by Anti-Malicious Software
1 Introduction
2 Mathematical Model
3 Equilibrium Analysis
4 Stability Analysis
5 Numerical Simulation
6 Conclusion
Appendix A
Appendix B
References
7 Application of Artificial Neural Network in Maximum Power Point Tracking for Different Radiation and Temperature
1 Introduction
2 Overview of a PV System
2.1 Solar Module
2.2 ANN-Based MPPT Utilizing G (Irradiation) and T (Temperature)
2.3 Conventional Boost Converter OR DC-DC Converter
3 Designing Using Matlab/Simulink
4 Simulation Result
5 Conclusion
References
8 Real Coded Genetic Algorithm for Selecting Optimal Machining Conditions
1 Introduction
2 Mathematical Formulation of Multi-pass Turning Operation
2.1 The Cost Function
2.2 Constraints on Cutting Conditions
3 Laplace Crossover and Power Mutation Genetic Algorithm (LXPM-GA)
4 Experimental Results and Discussion
5 Conclusion
References
9 Biogeography-Based Optimization Algorithm for Solving Emergency Vehicle Routing Problem in Sudden Disaster
1 Introduction
2 Biogeography-Based Optimization
2.1 Migration
2.2 Mutation
2.3 Elitism
3 Literature Survey
4 Emergency Vehicle Routing Problem
5 Mathematical Model of the EmVRP
5.1 Objective Function
5.2 Constraint Condition
6 Results and Discussion
7 Conclusion and Future Scope
References
10 Shoring-Based Formwork Optimization Using SOMGA for Multi-Storey Buildings
1 Introduction
2 Analytical Mathematical Formulations as Per ACI Code
3 Problem Statement
3.1 Objective Function and Constraints
4 Self Organizing Migrating Genetic Algorithm
5 Results and Discussion
5.1 Case I: 05 Storey Building
5.2 Case II: 20 Storey Building
5.3 Case III: 40 Storey Building
5.4 Case IV: 50 Storey Building
6 Conclusions
References
11 Numerical Simulation of Heavy Rainfall Using Weather Research and Forecast (WRF) System
1 Introduction
2 Synoptic Description of Land Depression
3 Model
4 Results and Discussion
5 Conclusions
References
12 Parameter Estimation of VIC-RAPID Hydrological Model Using Self-adaptive Differential Evolution Algorithm
1 Introduction
2 Methodology
2.1 SaDE Algorithm
2.2 VIC-RAPID Model
2.3 Performance Measures
3 Case Study
3.1 Study Area
3.2 Data Used
4 Results
5 Conclusions
References
13 Numerical Simulation of Landfall Position and Intensity of Very Severe Cyclonic Storm 'Vardah' Over Bay of Bengal Using ARW Model
1 Introduction
2 Description of the Very Severe Cyclonic Storm-'Vardah'
3 Brief Description of the ARW Model and Its Configuration
4 Numerical Experiments
5 Results and Discussion
5.1 Simulation of the Cyclone Track
5.2 Simulation of Winds
5.3 Rainfall Analysis
5.4 Relative Vorticity Analysis
5.5 Latent Heat Flux Analysis
5.6 Maximum Reflectivity Analysis
6 Conclusions
References
14 Fuzzy-AHP-Based Indexing Model for Performance Assessment of Highways and Expressways
1 Introduction
2 Literature Review
2.1 Review on Analytic Hierarchy Process
2.2 Review on Design of Highways
2.3 Review on Performance and Safety of Highways
3 Methodology
4 Proposed Model for Performance Assessment Indexing of Highways and Expressways
5 Calculations Involved
5.1 Scoring for the Performance Indexing Model for Highways and Expressways
5.2 Relative Performance Assessment Index and Normalised Score of Highways and Expressways
6 Results and Discussion
6.1 General Findings
6.2 Suggestions
7 Conclusions
References
15 Quality Factors Prioritization of Ready-Mix Concrete and Site-Mix Concrete: A Case Study in Indian Context
1 Introduction
2 Factors Affecting Quality of Ready-Mix Concrete and Site-Mix Concrete
2.1 Quality Factors for Ready-Mix Concrete
2.2 Quality Factors for Site-Mix Concrete
3 Methodology
4 Case Study
5 Conclusion
References
16 Study on Optimization of Unreliable Server Queueing Systems: A PSO Based Survey
1 Introduction
2 Particle Swarm Optimization (PSO)
2.1 Implementation of the Algorithm in Queueing Models
2.2 Application of PSO in Real Life Queueing Models
3 Other Nature Inspired Algorithms
3.1 Ant Colony Optimization (ACO)
3.2 Firefly Algorithm (FA)
3.3 Bat Algorithm
4 Conclusion
References
17 Brain Tumor Detection Through MRI Using Image Thresholding and GUI
1 Introduction
2 Requirement Analysis
3 Methodology
4 Implementation
5 Results and Discussion
6 Conclusion and Future Scope
References
18 A Study on Retrial G-Queues Under Different Scenarios: A Review
1 Introduction
2 Classification on Basis of Queueing Models
3 Classification on the Basis of Different Techniques
4 Discrete-Time Retrial G-Queues
5 Retrial G-Queues with Disaster
6 Two Servers (S,S) Inventory Retrial Systems with Negative Customers
7 Conclusion
References
19 Assessment of the Basic Education System of Myanmar Through the Data Envelopment Analysis
1 Introduction
2 Data Envelopment Analysis (DEA)
2.1 DEA Models Used in the Present Study
2.2 Important Terms in the Context of DEA
3 Problem Descriptions
3.1 Case Study: Efficiency Measurement of the Basic Education System in Myanmar
3.2 Methodology
4 Results and Discussion
4.1 Overall Performance
4.2 Performance Assessment of the Region and States Based on the Average Value
5 Conclusion
References
20 Discrete Cosine Transform with Matrix Technique for a Fractional-order Riesz Differentiator
1 Introduction
2 Matrix Riesz Non-Integer-Order Differentiator Using DCT Method
3 Conclusion
References
21 Analysis and Design of Memristor Emulator and Its Application in FM Demodulator
1 Introduction
1.1 Memristor Device Properties
2 Proposed Memristor Emulator
3 Mathematical Analysis of Proposed Emulator
4 Experimental Results
5 Improved Memristor Emulator
5.1 Circuit Explanation and Analysis
6 Application
7 Conclusion
References
22 Optimization of Culture Conditions for EPS Production in Lactobacillus rhamnosus MTCC 5462 Through Taguchi Design Methodology
1 Introduction
2 Materials and Methods
2.1 Growth and Harvesting of Bacterial Cells
2.2 Production of EPS
3 Results and Discussion
4 Conclusion
References
23 Assessment of Biochemical Methane Potential in Anaerobic Biodegradation of Industrial Food Waste
1 Introduction
2 Materials and Methods
3 Results and Discussion
4 Conclusion
References
24 Analysing Distance Measures in Topsis: A Python-Based Tool
1 Introduction
1.1 Multiple Attribute Decision Making (MADM)
1.2 Multiple Objective Decision Making (MODM)
2 Definitions/Methods
2.1 Techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS)
2.2 Distance Measures
3 Review of Literature
4 Steps of the TOPSIS Method
5 Application
5.1 Implementation Using Python Programming
5.2 Implementing Different Distance Measures
5.3 Ranking Alternatives Using TOPSIS Method
6 Conclusion
References
25 Removal of Chromium from Synthetic Wastewater Using Synthesized Low-Cost Adsorbents
1 Introduction
2 Methodology
3 Results and Discussion
3.1 Effect of Adsorbent Dose
3.2 Effect of Initial Concentration
3.3 Effect of PH
3.4 Effect of Contact Time
3.5 Adsorption Isotherms
4 Conclusion
References
26 Some New Results on the Deformable Fractional Calculus Using D'Alambert Approach and Mittag-Leffler Function
1 Introduction
2 Preliminary Results
3 Basic Properties of Deformable Derivative
4 Fractional Integral
5 Application: D'Alambert Approach
6 Application to Fractional Differential Equations Using Mittag-Leffler Function
References
Author Index

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