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ویرایش: [1st ed. 2021] نویسندگان: Dipti Singh (editor), Amit K. Awasthi (editor), Ivan Zelinka (editor), Kusum Deep (editor) سری: Algorithms for Intelligent Systems ISBN (شابک) : 9811615276, 9789811615276 ناشر: Springer سال نشر: 2021 تعداد صفحات: 333 [322] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 14 Mb
در صورت تبدیل فایل کتاب Proceedings of International Conference on Scientific and Natural Computing: Proceedings of SNC 2021 به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب مجموعه مقالات کنفرانس بین المللی محاسبات علمی و طبیعی: مجموعه مقالات SNC 2021 نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب شامل مقالات با کیفیت بالا ارائه شده در کنفرانس بین المللی محاسبات علمی و طبیعی (SNC 2021) است که توسط دپارتمان ریاضیات کاربردی، دانشگاه گوتام بودا، گریتر نویدا با همکاری IIT Roorkee و دانشگاه فنی استراوا (VSB-TU) و از نظر فنی توسط انجمن تحقیقات محاسبات نرم هند، که از 5 تا 6 فوریه 2021 به صورت آنلاین برگزار شد. موضوعات شامل الگوریتم مهاجرت خودسازماندهی، الگوریتمهای ژنتیک، تکنیکهای مبتنی بر هوش ازدحامی، محاسبات تکاملی، محاسبات فازی، محاسبات احتمالی، برنامهنویسی ژنتیکی جنگ، بهینهسازی، محاسبات عصبی، روشهای ترکیبی، یادگیری عمیق، از جمله شبکههای عصبی کانولوشن، شبکههای متخاصم مولد و رمزگذارهای خودکار، سیستمهای الهامگرفته از زیستی، دادهکاوی، تجسم دادهها، عوامل هوشمند، بهینهسازی طراحی مهندسی، بهینهسازی چند هدفه، تشخیص خطا، پشتیبانی تصمیم، رباتیک، پردازش سیگنال یا تصویر، شناسایی و مدلسازی سیستم، یکپارچهسازی سیستمها، پیشبینی سریهای زمانی، واقعیت مجازی، تشخیص دید یا الگو، بازیابی هوشمند اطلاعات، کنترل حرکت و الکترونیک قدرت، اینترنت همه چیز (IoE)، سیستمهای کنترل، و مدیریت زنجیره تامین
This book includes high-quality papers presented at International Conference on Scientific and Natural Computing (SNC 2021), organized by Department of Applied Mathematics, Gautam Buddha University, Greater Noida in collaboration with IIT Roorkee and Technical University of Ostrava (VSB-TU) and technically sponsored by Soft Computing Research Society of India, held online during 5 – 6 February 2021. The topics include self-organizing migrating algorithm, genetic algorithms, swarm intelligence based techniques, evolutionary computing, fuzzy computing, probabilistic computing, genetic programming, particle swarm optimization, neuro computing, hybrid methods, deep learning, including convolutional neural networks, generative adversarial networks and auto-encoders, bio-inspired systems, data mining, data visualization, intelligent agents, engineering design optimization, multi-objective optimization, fault diagnosis, decision support, robotics, signal or image processing, system identification and modelling, systems integration, time series prediction, virtual reality, vision or pattern recognition, intelligent information retrieval, motion control and power electronics, Internet of Everything (IoE), control systems, and supply chain management.
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