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دانلود کتاب Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2020 (Algorithms for Intelligent Systems)

دانلود کتاب هوش مصنوعی و محاسبات پایدار: مجموعه مقالات ICSISCET 2020 (الگوریتم‌هایی برای سیستم‌های هوشمند)

Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2020 (Algorithms for Intelligent Systems)

مشخصات کتاب

Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2020 (Algorithms for Intelligent Systems)

ویرایش: 1st ed. 2022 
نویسندگان: , , ,   
سری:  
ISBN (شابک) : 9811612196, 9789811612190 
ناشر: Springer 
سال نشر: 2021 
تعداد صفحات: 483 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 16 مگابایت 

قیمت کتاب (تومان) : 53,000



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توجه داشته باشید کتاب هوش مصنوعی و محاسبات پایدار: مجموعه مقالات ICSISCET 2020 (الگوریتم‌هایی برای سیستم‌های هوشمند) 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.


توضیحاتی در مورد کتاب هوش مصنوعی و محاسبات پایدار: مجموعه مقالات ICSISCET 2020 (الگوریتم‌هایی برای سیستم‌های هوشمند)

این کتاب نتیجه دومین کنفرانس الکترونیکی دو روزه بین‌المللی راه‌حل‌های پایدار و نوآورانه برای چالش‌های کنونی در مهندسی و فناوری (ICSISCET 2020) را ارائه می‌کند که در مؤسسه فناوری و علم مدهاو (MITS)، گوالیور، هند، از 18 دسامبر برگزار شد. 19، 2020. این کتاب به طور گسترده تحقیقات اخیر در هوش مصنوعی (AI) را پوشش می‌دهد که الگوریتم‌های الهام‌گرفته از طبیعت، محاسبات تکاملی، سیستم‌های فازی، هوش محاسباتی، یادگیری ماشین، یادگیری عمیق و غیره را در بر می‌گیرد، که در مواجهه با واقعیات بسیار مفید است. مشکلات ناشی از ساختار بدون مدل، توانایی یادگیری و رویکرد انعطاف پذیر. این تکنیک ها توانایی های تفکر و تصمیم گیری انسان را تقلید می کنند تا سیستم هایی را تولید کنند که هوشمند، کارآمد، مقرون به صرفه و سریع باشند. این کتاب یک بررسی دوستانه و آموزنده از موضوعات ارائه می دهد که این کتاب را به یک مرجع ایده آل برای مبتدیان و محققان با تجربه تبدیل می کند.


توضیحاتی درمورد کتاب به خارجی

This book presents the outcome of two-day 2nd International e-Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2020) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from December 18–19, 2020. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.



فهرست مطالب

Organizing Committee
Preface
Acknowledgement
Contents
About the Editors
1 Control of On-Board Electric Vehicle Charger
	1 Introduction
	2 System Description
	3 Controller Design
	4 Simulation Results
	5 Conclusion
	References
2 NSGA-III-Based Time–Cost–Environmental Impact Trade-Off Optimization Model for Construction Projects
	1 Introduction
	2 Literature Review
	3 Problem Formulation
	4 Proposed NSGA-III-Based TCEIT Model
	5 Case Study and Discussion
	6 Conclusion
	References
3 Wideband Microstrip Stepped Two-Way Power Divider for 3G/4G Applications
	1 Introduction
	2 Power Divider Design and Parametric Analysis
	3 Simulated and Measured Results
	4 Conclusion
	References
4 Simulated Annealing-Based Time–Cost Trade-Off Model for Construction Projects
	1 Introduction
	2 Literature Review
	3 Proposed Simulated Annealing-Based TCT Model
	4 Case Study and Discussion
	5 Conclusion
	References
5 AHP and NSGA-II-Based Time–Cost–Quality Trade-Off Optimization Model for Construction Projects
	1 Introduction
	2 Related Works
	3 Problem Formulation
	4 Research Methodology: Proposed TCQT Model
	5 Case Study and Discussion
	6 Conclusion
	References
6 A Wavelet-Based Segmentation Technique for Medical Images
	1 Introduction
	2 Techniques for Medical Images
		2.1 X-Rays
	3 Image Segmentation Methods
		3.1 Segmentation Techniques
		3.2 Wavelet Transform in Image Processing
	4 Experimental Results and Discussion
		4.1 Data Acquisition
		4.2 Evaluation Index
		4.3 Display of Image
		4.4 Experimental Data
		4.5 Visual Display of Method
	5 Conclusions
	References
7 MVO-Based Approach for Optimal DG and Capacitor Allocation
	1 Introduction
	2 Problem Formulation
		2.1 Objective Function
		2.2 Constraints of the System
	3 Optimization Algorithm
		3.1 Computational Steps to Perform MVO Algorithm
		3.2 MVO Algorithm Overview
	4 Computational Results
	5 Conclusion
	References
8 Analysis of Phase Error in Rotman Lens Design with Different Beam Angles
	1 Introduction
	2 Rotman Lens Arrangement
	3 Simulation Results
	4 Conclusion
	References
9 Optimal Integration of Multi-type DG in Radial Distribution Network
	1 Introduction
	2 Mathematical Modeling
	3 DG Modeling
	4 Solution Methodology to Site and Size DG Optimally
	5 Fitness Index for Optimal Placement of DG
		5.1 Voltage Stability Index
		5.2 Active Power Loss Index (ALI)
		5.3 Voltage Deviation Index (VDI)
		5.4 Fitness Index (FI)
		5.5 Operational Limits
	6 Methodology for Optimal Integration of DG
	7 Cost of DG and Annual Energy Losses
	8 Results and Discussion
		8.1 Impact of DG on N/w Voltage Profile
		8.2 Impact of DG on N/w Power Losses
		8.3 Impact of DG on AELS
		8.4 Comparison of Results for 12-Node Network
	9 Conclusion
	References
10 Optimization of Congo Red Dye by Iron Oxide@AC
	1 Introduction
	2 Materials and Methods
		2.1 Preparation of FAC
		2.2 Experiment
	3 Results and Discussion
		3.1 Effect of Contact Time
		3.2 Effect of Adsorbent Dose
		3.3 Effect on Dye Concentration
		3.4 Effect of Temperature
		3.5 Comparison with the Literature
	4 Conclusions
	References
11 Enviro-Economic Analysis of Ginger Drying in Hybrid Active Greenhouse Solar Dryer
	1 Introduction
	2 Experimental Setup and Instrumentation
	3 Environmental Analysis of HAGSD
		3.1 Embodied Energy
		3.2 Energy Payback Time (EPBT)
		3.3 Carbon Dioxide Emitted by the HAGSD
		3.4 CO2 Mitigation by HAGSD
		3.5 Carbon Credit Earned by Dryer
	4 Economic Analysis of HAGSD
	5 Result and Discussion
		5.1 Environmental Analysis
		5.2 Economic Analysis
	6 Conclusions
	References
12 A Comparative Study of Meta-Heuristic-Based Task Scheduling in Cloud Computing
	1 Introduction
	2 Meta-Heuristic-Based Task Scheduling
		2.1 Ant Colony Optimization (ACO) Algorithm
		2.2 Particle Swarm Optimization (PSO) Algorithm
		2.3 Gray Wolf Optimization (GWO) Algorithm
		2.4 Whale Optimization Algorithm (WOA)
		2.5 Flower Pollination Algorithm (FPA)
	3 Literature Observations
	4 Research Gaps
	5 Conclusion
	References
13 Electromagnetic Modelling and Parameters Extraction of Metal Contact and Capacitive Type RF MEMS Switch
	1 Introduction
	2 Design of Switch
	3 Performance Analysis of Switch
		3.1 Deflection and Stresses
		3.2 Natural Frequency of Switch
		3.3 Release Time and Pull-In Voltage
		3.4 Pull-In Voltage and Deflection
	4 Electromagnetic Analysis of Switch
	5 Conclusion
	References
14 Artificial Neural Networks as a Tool for Thermal Comfort Prediction in Built Environment
	1 Introduction
	2 ANN and Thermal Comfort in Built Environment
	3 ANN-Based Outdoor Thermal Comfort Assessment
	4 Training Algorithms and Validation
	5 Results
	6 Conclusion
	References
15 Impact of Channel-Hot-Carrier Damage in Dopingless Devices at Elevated Temperature
	1 Introduction
	2 Device Description and Simulation Setup
	3 Results and Discussion
	4 Conclusion
	References
16 An Optimum Multi-objective Dynamic Scheduling Strategy for a Hybrid Microgrid System Using Fuzzy Rank-Based Modified Differential Evolution Algorithm
	1 Introduction
	2 Problem Formulation
		2.1 Optimal Cost Objective Function
		2.2 Emission Function
		2.3 Loss Function
		2.4 Battery
		2.5 Multi-objective Function
	3 Proposed Solution Methodology
	4 Numerical Analysis, Discussion and Results
		4.1 Structure of the Microgrid Test System
		4.2 Contribution of DERs and Battery in the Optimal Dynamic Scheduling of the Microgrid
		4.3 Comparison of Pareto Fronts for Three Objective Functions
		4.4 Comparison of the Proposed Strategy with Weighted Sum Approach for the Multi-objective Dynamic Optimal Scheduling Problem
	5 Conclusion
	References
17 Performance Analysis of Different Tilt Angles-Based Solar Still
	1 Introduction
	2 Experimental Setup
	3 Mathematical Modeling
		3.1 Solar Radiation on Tilt Surface
	4 The Internal Heat Transfer Coefficient
		4.1 Radiative Heat Transfer [9]
		4.2 Convective Heat Transfer Coefficient
		4.3 Evaporative Heat Transfer
	5 Results and Discussion
	6 Conclusions
	7 Nomenclature
	References
18 Implementation and Performance Analysis of ECC-Based Text Encryption on Raspberry Pi 3
	1 Introduction
	2 Related Works
	3 Preliminaries
		3.1 Point Representation
		3.2 Operations of ECC
		3.3 Methodology
		3.4 Reverse Mapping
		3.5 Encryption
		3.6 Decryption
	4 Implementation
		4.1 Encryption
		4.2 Decryption
	5 Results and Discussions
	6 Conclusion
	References
19 Approximate Partitional Clustering Through Systematic Sampling in Big Data Mining
	1 Introduction
	2 Related Works
	3 Systematic Sampling for Big Data Mining
	4 Proposed Systematic Sampling Model for Big Data Mining
	5 Experimental Analysis
		5.1 Experiment Environment (Tools) and Dataset
		5.2 Evaluation Criteria
		5.3 Results and Discussion
	6 Conclusion
	References
20 Security of IoT-Based E-Healthcare System: A Blockchain Solution
	1 Introduction
	2 Background
		2.1 Security Issues and Requirements for IoT-Based E-Healthcare System
		2.2 Overview of Blockchain
	3 Proposed IoT-Based E-Healthcare System
		3.1 Network Model
		3.2 Working of the IoT-Based E-Healthcare System
	4 Implementation and Results
	5 Security Analysis
	6 Conclusion and Future Work
	References
21 Jaya Algorithm-Based Load Frequency Control in Nuclear Power Plant Incorporating Energy Storage Unit
	1 Introduction
	2 Problem Formulation
		2.1 System Under Study
		2.2 Capacitive Energy Storage Unit
		2.3 Overview of PID Controller
		2.4 Formulation of Objective Function
	3 Employed Optimization Algorithm
		3.1 Jaya Algorithm and Its Mathematical Modeling
	4 Simulation Results
		4.1 Case 1: Disturbance = 1%
		4.2 Case 2: Disturbance = 2%
		4.3 Case 3: Disturbance = 10%
	5 Conclusion
	References
22 DDoS Attacks Detection in Cloud Computing Using ANN and Imperialistic Competitive Algorithm
	1 Introduction
	2 Related Works
	3 Proposed DDoS Attack Detection Technique (IC-ANN)
		3.1 Training ANN Using ICA
		3.2 Attack Detection Using ANN
	4 Experimental Results and Discussions
	5 Conclusions
	References
23 Analysis and Review of the Kinetic Façades in Kolding Campus, South Denmark University
	1 Kinetic Architecture
		1.1 Kinetic Façades
	2 Kolding Campus, South Denmark University
	3 Climatic Data: Kolding, Denmark
		3.1 Temperature and Rainfall
		3.2 Sun Shading Chart
		3.3 Requirements for Buildings Based on Climatic Data
	4 Sustainable Features and Their Compatibility with Local Climate
		4.1 Passive Design Features
		4.2 Kinetic Façade Features
	5 Energy Consumption
		5.1 Energy Consumption of Kolding Campus
		5.2 Comparison of Energy Consumption with Other Buildings
	6 Effect of Sustainable Features on the University Students
	7 Conclusion
	References
24 Performance Analysis and ANN Modelling of Apple Drying in ETSC-Assisted Hybrid Active Dryer
	1 Introduction
		1.1 Evacuated Tube Hybrid Drying Systems
	2 Experimentation
		2.1 Equipment
		2.2 Instrumentation and Measurements
	3 Dryer Performance Parameters
		3.1 Surface Temperature of Crop
		3.2 Drying Performance
	4 Mathematical Modelling of Thin-Layer Drying Equation
	5 ANN Model for Dimensionless Moisture Ratio
	6 Uncertainty Analysis
	7 Results and Discussion
		7.1 Dryer Performance Parameters
		7.2 Drying Kinetics
	8 ANN Model
	9 Conclusion
	References
25 Equilibrium Optimizer-Based Optimal Allocation of SVCs for Voltage Regulation and Loss Minimization
	1 Introduction
	2 Optimal Allocation of Static VAR Compensators
		2.1 Static VAR Compensator (SVC) Model
		2.2 Problem Formulation
	3 Particle Swarm Optimization (PSO)
		3.1 Step by Step Algorithm
	4 Grey Wolf Optimizer (GWO)
		4.1 Step by Step Algorithm
	5 Equilibrium Optimizer (EO)
		5.1 Step by Step Algorithm
	6 Results and Discussion
	7 Conclusion
	Appendix
	References
26 LGCBPNN: Determine the Multilayer Neural Network Using Local Gravitational Clustering
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Problem Statement
		3.2 Local Gravitation in Clustering
		3.3 Number of Neurons in Hidden Layers
		3.4 Backpropagation Algorithms for Multilayer Feed-Forward NN (MLFFNN)
	4 Experimental Analysis
		4.1 Dataset Description
		4.2 Screenshots of Simulated Result
		4.3 Experiment for Optimal Number of HL Neurons
	5 Conclusion
	References
27 Combined Heat–Power Economic Emission Dispatch for a Microgrid Using Coyote Optimization
	1 Introduction
	2 Formulation of CHPEED Problem
		2.1 Topsis
	3 Coyote Optimization Algorithm
	4 Description of Test Case, Results, and Discussion
	5 Conclusion
	Appendix
	References
28 Sparse Solutions in the Identification of Output Error Models
	1 Introduction
	2 System Model and Background
	3 Sparse Identification
		3.1  l1  Approach
		3.2  lq  Approach
		3.3 Consistency of the Estimates
	4 Simulation Study
	5 Conclusions
	References
29 Techno-Economic Assessment of a Hybrid Renewable Energy System Using Dynamic Search Space
	1 Introduction
	2 Economic Modeling
	3 Methodology
	4 Objective Function and Constraints
	5 Results and Discussion
		5.1 Dynamic Search Space (DSS)
		5.2 Optimal Sizing Considering Seasonal Loads
		5.3 Effect of Diesel Generator on LCE
		5.4 Comparison of with and Without Dynamic Search Space
	6 Conclusion
	References
30 Applications of Graphene-Based Ink in Heating Purpose and a Prototype Using NodeMCU ESP8266
	1 Introduction
	2 Layer Construction
	3 Microcontroller Design
	4 Core Algorithm
	5 Results and Test Discussions
	6 Conclusion
	References
31 Improving Energy Efficiency of Ring Frame Motor of Textile Industry
	1 Introduction
	2 Methodology
		2.1 Impact of Rewinding of Motor on Energy Saving
		2.2 Impact of Continuous Variable Load on the Performance and Energy Consumption of the Motor
	3 Results and Discussion
		3.1 Energy Saving by Replacing Burnt and Rewound Ring Frame Motors
		3.2 Use of Variable Speed Drive (VSD) for Energy Saving
	4 Conclusion
	References
32 Contingency Analysis of Complex Power System Using Active Power and Voltage Performance Index
	1 Introduction
	2 Types of Violations
		2.1 Under/Over Voltage Violation
		2.2 Line MVA Limit Violation
	3 Power System Operational Condition
		3.1 Preventive State
		3.2 Emergency State
		3.3 Restorative State
	4 Contingency Analysis
	5 Procedure and Flow Chart of Contingency Analysis
	6 Simulation and Results
		6.1 IEEE-5 Bus Test System
		6.2 IEEE-14 Bus Test System
	7 Remedial Action
	8 Conclusion
	References
33 Optimal Placement of DG and Capacitor in Radial Distribution Networks Using Differential Evolution
	1 Introduction
	2 Problem Formation
	3 Differential Evolution Algorithm
		3.1 Implementations of DE for Optimal Location of DG and SC
	4 Simulation Results
	5 Conclusion
	References
34 Optimal Sizing and Allocation of DG in Distribution System Using TLBO
	1 Introduction
	2 Problem Formation
	3 Teaching-Learning Based Optimization (TLBO)
		3.1 Teacher Phase
		3.2 Learner Phase
	4 Results and Discussion
		4.1 Selection of Control Parameter of TLBO
		4.2 IEEE 85 Bus RDS
		4.3 Multiple DG in IEEE 85 Bus RDS
	5 Conclusion
	References
35 Game-Theoretic Optimization for PV-Battery Fed Lighting Systems in DC Homes
	1 Introduction
	2 Topological Architecture of DC Homes
	3 Game-Theoretic Approach to Obtain Nash Equilibrium
	4 Results and Discussion
	5 Conclusions
	References
36 Modeling the Effect of Quarantine and Isolation for COVID-19 Spreading
	1 Introduction
	2 Background and Related Work
	3 Proposed Model to Study the COVID-19 Over the Human Contact Network
	4 Results and Analysis
		4.1 Epidemic Spreading Over Contact Network Using Classical Spreading Model
		4.2 Effect of Quarantine
		4.3 Effect of Isolation
	5 Conclusions and Future Work
	References
37 Lung Cancer: Detection and Classification of Malignancies
	1 Introduction
	2 Architectures
		2.1 CapsNet
		2.2 FixEfficientNet
	3 Proposed Framework
		3.1 Data Pre-processing
		3.2 Segmentation
		3.3 Nodule Detection
		3.4 Nodule Classification
	4 Result and Discussion
		4.1 Detection Results
		4.2 Classification Results
	5 Conclusion
	6 Future Work
	References
38 Malicious Webpage Classification Using Deep Learning Technique
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Image Preprocessing
		3.2 Data Augmentation
	4 Network Architecture
		4.1 VGG-16 and VGG-19
		4.2 Training and Validation
	5 Experimental Results
		5.1 Dataset
		5.2 Performance Metrics and Evaluation
	6 Conclusion
	References
Author Index




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