Note: Intro -- Preface -- Contents -- А System for Monitoring the Number and Duration of Power Outages and Power Quality in 0.38 kV Electrical Networks -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussions -- 5 Conclusions -- References -- A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures -- 1 Introduction -- 2 The Survival Signature -- 2.1 System Reliability Applying the Survival Signature -- 2.2 Obtaining the Survival Signature from Structural Simulations -- 3 Reliability of an Offshore Jacket Platform -- 3.1 Structural Model -- 3.2 Generation of Failure Tress -- 3.3 CDF of Component Types -- 4 Summary -- References -- Security Assurance Against Cybercrime Ransomware -- Abstract -- 1 Introduction -- 2 Background -- 3 Study of Ransomware -- 3.1 Types of Ransomware -- 3.2 Activities of Ransomware -- 4 WannaCry Ransomware -- 5 From Security to Safety -- 5.1 Insufficient Security Measures -- 5.2 Genesis -- 5.3 Security Assurance -- 5.4 Theoretical Basis for High Assurance Framework -- 6 Conclusion and Future Direction -- References -- SAR: A Graph-Based System with Text Stream Burst Detection and Visualization -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Document Stream -- 2.2 Burst Detection -- 3 System Design -- 3.1 Context Introduction -- 4 System Architecture -- 4.1 System Algorithm -- 5 Experimental Results and Evaluation -- 5.1 Programming Framework -- 5.2 Main Functions -- 6 System Testing and Evaluation -- 7 Conclusion and Future Work -- Acknowledgements -- References -- Detection of Black Hole Attacks in Mobile Ad Hoc Networks via HSA-CBDS Method -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Results and Discussion -- 5 Conclusions -- Acknowledgements -- References. , Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing -- Abstract -- 1 Introduction -- 2 Proposed Framework -- 2.1 Bubble-Net Attacking Method (Exploitation Phase) -- 2.2 Searching for Prey (Exploration Phase) -- 3 Classifier Design -- 3.1 BFGS Quasi-Newton Backpropagation -- 4 Model for N-IDS In-Eucalyptus Cloud Computing -- 5 Classifier Process in MATLAB -- 6 Conclusions -- Acknowledgments -- References -- The 'Smart' as a Project for the City Smart Technologies for Territorial Management Planning Strategies -- Abstract -- 1 Introduction -- 2 Intelligent Urban Mobility in the Smart City -- 3 The Case Study: Smart Mobility in the City Center of Rome -- 4 Experience of Using Smart Mobility in Rome -- 5 Smart Mobility for Urban Regeneration -- 6 Conclusions -- References -- The 'Governance' for Smart City Strategies and Territorial Planning -- Abstract -- 1 "Territorial Planning" as a Premise of the Smart City -- 2 The Smart City as a New City Model -- 3 Governance (Democracy, Technology, Technocracy) -- References -- T-MPP: A Novel Topic-Driven Meta-path-Based Approach for Co-authorship Prediction in Large-Scale Content-Based Heterogeneous Bibliographic Network in Distributed Computing Framework by Spark -- Abstract -- 1 Introduction -- 2 Related Works and Motivations -- 3 Methodology and System Architecture -- 3.1 Topic Similarity Evaluation Between Content-Based Nodes -- 3.2 Topic-Driven Meta-path-Based Topological Feature Extraction -- 3.3 Distributed Computing on Meta-path Count with Spark Graph-Frames -- 4 Experimental Studies and Discussions -- 4.1 Experimental Dataset Usage and Setup -- 4.2 Experimental Results and Discussions -- 5 Conclusion and Future Work -- Acknowledgements -- References -- Optimization of Hybrid Wind and Solar Renewable Energy System by Iteration Method. , 1 Introduction -- 2 Optimization Formulation -- 3 Constraints -- 4 Iterative Method -- 4.1 Numerical Datasets -- 5 Results -- 6 Conclusion -- References -- Modeling of Solar Photovoltaic Thermal Modules -- Abstract -- 1 Introduction -- 2 Method for Creating Three-Dimensional Models of Solar Photovoltaic Thermal Modules of Various Designs for Stationary and Mobile Power Generation -- 3 Implementation of the Method for Creating Three-Dimensional Models of Solar Photovoltaic Thermal Modules -- 4 Method of the Thermal Calculation of the Photovoltaic Thermal Solar Modules of Planar and Concentrator Types Using Simulation and Visualization of Processes in the Software Complex Ansys -- 5 Method of Manufacturing of Three-Dimensional Solid-State Prototypes of Components of Solar Modules Using Layered Printing -- References -- Thermo Physical Principles of Cogeneration Technology with Concentration of Solar Radiation -- Abstract -- 1 Introduction -- 2 Methods and Calculations -- 2.1 Design of the Load-Bearing Platform -- 2.2 Optical Concentrators -- 2.3 Linear PV Modules -- 3 Conclusions -- References -- Artificial Bee Colony Algorithm for Solving the Knight's Tour Problem -- Abstract -- 1 Introduction -- 2 Background and Knowledge -- 2.1 Knight's Tour Problem -- 2.2 Artificial Bee Colony Algorithm -- 3 Solving the Knight's Tour Problem by Using ABC -- 4 Experimental Settings and Results -- 5 Conclusions -- References -- The Model of Optimization of Grain Drying with Use of Eletroactivated Air -- Abstract -- 1 Introduction -- 2 Main Part -- 2.1 Research Method -- 2.2 Calculation of Criteria -- 2.3 Laboratory Setup -- 3 Conclusions -- References -- Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System -- Abstract -- 1 Introduction -- 2 Overview of Fast Learning Network -- 3 Overview of the Methodology -- 3.1 Fast Learning Network. , 3.2 Kernel Fast Learning Network -- 3.3 Particle Swarm Optimization -- 4 Experiments and Analysis -- 4.1 Implementing of Multi Kernel Based on Fast Learning Network -- 4.2 Experiments of Optimization Multi Kernel Fast Learning Network -- 5 Summary -- References -- Vehicular Ad Hoc Network: An Intensive Review -- Abstract -- 1 Introduction -- 1.1 VANET Architecture -- 1.2 VANET Application -- 1.3 VANET Infrastructure -- 2 VANET Security and Privacy -- 3 Conclusion -- References -- Optimization of the Parameters of the Elastic Damping Mechanism in Class 1,4 Tractor Transmission for Work in the Main Agricultural Operations -- Abstract -- 1 Introduction -- 2 Main Part -- 3 Conclusions -- References -- Energy-Efficient Pasteurizer of Liquid Products Using IR and UV Radiation -- Abstract -- 1 Introduction -- 2 Methods and Results of Research -- 2.1 Method of Calculation of Pasteurizer -- 2.2 Experimental Data -- 3 Conclusion -- References -- CAIAS Simulator: Self-driving Vehicle Simulator for AI Research -- Abstract -- 1 Introduction -- 2 Development of Simulation Engine -- 2.1 Interactive -- 2.2 Kinematic Bicycle Model -- 2.3 Number of Environments -- 2.4 Types and Construction of Sensors -- 2.5 Auxiliary Setting and Other Appliance -- 3 Result -- 3.1 Debugging and Performance Analysis in Unity -- 3.2 Test Result Evaluation from the Performance -- 4 Conclusion -- 4.1 Future Modification for More Robust Result -- Acknowledgments -- References -- Vision-Based Driver's Attention Monitoring System for Smart Vehicles -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 3.1 Processing -- 3.2 Cues Extraction -- 3.3 Attention Estimation of Driver -- 3.4 Monitoring and Decision Making -- 4 Experimental Results -- 4.1 Accuracy of Estimating Attentional Status -- 4.2 Overall System Accuracy -- 5 Conclusion -- References. , Characterizing Current Features of Malicious Threats on Websites -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Characteristic Representation -- 3.1 URL Based Features and Classification -- 3.1.1 Features/Attributes of URLs -- 3.2 Content Based Features and Classification -- 3.2.1 Features/Attributes of JavaScript and HTML in Webpages -- 3.3 Network Protocol Features/HTTP Response Features of Suspected Malicious Performed in Webpages -- 4 Conclusion -- Acknowledgement -- References -- A Deep Learning Framework on Generation of Image Descriptions with Bidirectional Recurrent Neural Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Convolutional Neural Network (CNN) -- 2.2 Recurrent Neural Network (RNN) -- 2.3 Proposed Model -- 2.4 Annotation of Dataset -- 3 Methodology -- 4 Evaluation -- 5 Conclusion -- References -- Feature of Operation PV Installations with Parallel and Mixed Commutation Photocells -- Abstract -- 1 Introduction -- 2 Research -- 3 Conclusion -- References -- The Functional Dependencies of the Drying Coefficient for the Use in Modeling of Heat and Moisture-Exchange Processes -- Abstract -- 1 Existing Approaches to Modeling of Grain Drying -- 2 Brief Description of Experimental Studies -- 3 Obtaining Regression Equations -- 4 Conclusions -- References -- Investigation Model for Locating Data Remnants on Cloud Storage -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Cybercrime Evidence Collection Model -- 4 Experiment Results and Analysis -- 4.1 Box Cloud Base Images Created by Firefox Browser -- 4.2 Evidence Directories -- 4.3 Anti-forensic Techniques and Uninstallation of Box Client Software -- 4.4 Comparative Evaluation -- 5 Conclusion and Future Works -- Acknowledgements -- References -- An Intelligent Expert System for Management Information System Failure Diagnosis -- Abstract -- 1 Introduction. , 2 Theoretical Foundations.

Note: Intro -- Preface -- Contents -- A Timetabling Application for the Assignment of School Classrooms -- Abstract -- 1 Introduction -- 2 Development -- 2.1 Methodology -- 2.2 Constraints -- 3 Model -- 3.1 Variables -- 3.2 Objective Function -- 3.3 Constraints -- 3.4 Form Filling -- 4 Mathematical Programming Model in Worksheet -- 5 Conclusions -- References -- Estimation of Electricity Prices in the Mexican Market -- Abstract -- 1 Introduction -- 2 Alpha Stable Regression -- 3 Estimation of Electricity Price in Mexico -- 4 Conclusions -- References -- Predicting the Quality of MIS Characteristics and End-Users' Perceptions Using Artificial Intelligence Tools: Expert Systems and Neural Network -- Abstract -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 Assessment Factors of IS -- 2.2 Expert System Concepts -- 3 Methodology -- 4 Design and Implementation of Knowledge -- 5 ANN Prediction Model of End-Users Perceptions -- 5.1 Factors of the Prediction Model -- 6 Result and Conclusion -- Appendix A: CLIPS Code of the Developed Expert System -- References -- Fuzzy Logic Controller for Modeling of Wind Energy Harvesting System for Remote Areas -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Description of Wind Energy Harvesting System -- 4 Fuzzy Logic Controller -- 5 Simulation and Results -- 6 Conclusion -- References -- Developing a Technique to Select Potential Candidates Using a Combination of Rough Sets and Fuzzy Sets -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Data Pre-processing Module -- 3.2 Query Execution Module -- 3.3 Analysis and Output Module -- 3.3.1 Dimension Reduction Using Rough Set -- 3.3.2 Fuzzy Clustering -- 3.3.3 Output Generation -- 4 Implementation and Experiments -- 5 Conclusion -- References -- Distributed Multi Cloud Storage System to Improve Data Security with Hybrid Encryption. , 1 Introduction -- 2 Cloud Attacks -- 3 Related Work -- 4 System Architecture and Design -- 4.1 Encryption and Decryption Module -- 4.2 Storage Module -- 4.3 Key Management Server -- 5 Experimental Setup -- 5.1 Storing Data -- 5.2 Retrieving Data -- 5.3 Cost and Data Availability -- 5.4 User Control -- 6 Performance Evaluations -- 7 Conclusion -- References -- Examining the Impact of Land Use/Land Cover Characteristics on Flood Losses: A Case Study of Surat City -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Data Collection -- 3.1 Flood Scenarios at Surat City -- 4 Methodology -- 4.1 LULC for the Study Area -- 4.2 Flood Losses -- 5 Result and Conclusion -- References -- On the Development of Model for Grain Seed Reaction on Pre Sowing Treatment -- Abstract -- 1 Existing Approaches to the Construction of Models of Biological Objects -- 2 Developed Model -- 3 Conclusion -- References -- Development of a Laboratory Unit for Assessing the Energy Intensity of Grain Drying Using Microwave -- Abstract -- 1 Introduction -- 2 Main Part -- 2.1 Driving Forces of Heat and Moisture Transfer -- 2.2 Research Method -- 2.3 Results and Discussion -- 3 Conclusions -- References -- Intelligent Electrophysiological Control of Cows Milk Reflex by Registration Electrical Skin Activity -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Objective -- 2 Method -- 2.1 The Research of Cows CNS Response While the Frequency Modulation of HFF on the Udder Take Place -- 2.2 Discussion and Research -- 2.3 The Application of HFF Influence in Regimes 15 and 30 Watts (W) at the Cows Udder Gave Various Effects -- 3 Results -- 4 Conclusions -- References -- Use of Computing Techniques for Flood Management in a Coastal Region of South Gujarat-A Case Study of Navsari District -- Abstract -- 1 Introduction -- 1.1 Use of Computational Techniques in Water Resources Engineering. , 1.2 Computational Techniques Used Flood Management -- 2 Case Study Area -- 2.1 Mapping of Flood and Its Management -- 3 Data Collection -- 3.1 HEC-RAS -- 3.2 ArcGIS -- 3.3 Boundary Condition -- 4 Methodology -- 4.1 Pre-Processing (Arc-GIS and HEC-GeoRAS) -- 4.1.1 DEM (Digital Elevation Model) -- 4.1.2 Georeferencing -- 4.1.3 Shapefiles -- 4.1.4 Mosaic -- 4.2 HEC-RAS Model Execution -- 5 Results and Discussion -- 5.1 Advantages and Limitation of HEC-RAS -- 6 Conclusion -- References -- Structural Design of an LMU Using Approximate Model and Satisficing Trade-Off Method -- Abstract -- 1 Introduction -- 2 Stiffness Analysis and Design of Experiments (DOE) -- 3 Generation of Hybrid Metamodel -- 3.1 Kriging -- 3.2 Response Surface Methodology -- 3.3 Hybrid Metamodel -- 4 Determination of the Reinforcement Steel Plates Using Multiobjective Optimization -- 4.1 Satisficing Trade-Off Method -- 4.2 Optimization Formulation -- 4.3 Optimization Results and Comparisons -- 5 Conclusion -- Acknowledgment -- References -- Recognition of Cow Teats Using the 3D-ToF Camera When Milking in the "Herringbone" Milking Parlor -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 4 Research Results -- 5 Conclusion -- 6 Future Work -- References -- Changes in Heart Rate Dynamics with Menstrual Cycles -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Study Subjects -- 2.2 Protocol -- 2.3 Measurements -- 2.4 Analysis of HRV and Heart Rate Dynamics -- 2.5 Statistical Analysis -- 3 Results -- 3.1 Basic Findings of 24-h ECG -- 3.2 Time Domain and Frequency Domain Analysis of HRV -- 3.3 Nonlinear Indices of Heart Rate Dynamics -- 3.4 Basal and Percentile Heart Rate -- 3.5 HRV Makers of Sleep Stage and Sleep Disordered Breathing -- 4 Discussions -- References -- Verifying the Gaming Strategy of Self-learning Game by Using PRISM-Games -- Abstract. , 1 Introduction -- 2 Background Theories -- 2.1 Reinforcement Learning -- 2.2 Safe Reinforcement Learning via Shielding -- 2.3 Q-learning -- 2.4 Monte Carlo Tree Search (MCTS) -- 2.5 Model Checking -- 2.6 Probabilistic Model Checking Using PRISM-Games -- 3 Related System -- 4 Applied Area -- 5 Purposed System -- 6 Experimental Results -- 7 Conclusion -- Acknowledgments -- References -- Optimization of Parquetting of the Concentrator of Photovoltaic Thermal Module -- Abstract -- 1 Introduction -- 2 The Method of Three-Dimensional Parquetting the Surface of a Parabolic Concentrator -- 3 Method of Fan-Shaped Parqueting of Surface of the Parabolic Concentrator -- 4 Parabolic Concentrator for Photovoltaic Thermal Receiver -- 5 Conclusion -- References -- Optimization of the Process of Anaerobic Bioconversion of Liquid Organic Wastes -- Abstract -- 1 Introduction -- 2 Background -- 3 Results of Investigations -- 4 Conclusion -- Acknowledgment -- References -- Efficiency Optimization of Indoor Air Disinfection by Radiation Exposure for Poultry Breeding -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 4 Research Results -- 5 Conclusions -- 6 Future Work -- References -- Optimal Power Flow Considering Cost of Wind and Solar Power Uncertainty Using Particle Swarm Optimization -- 1 Introduction -- 2 Modelling Wind and Solar Generation Costs -- 2.1 Wind Farm Power Output Probability Distribution -- 2.2 Solar Farm Power Output Probability Distribution -- 2.3 Opportunity Costs for Wind and Solar Shortage -- 2.4 Opportunity Costs for Wind and Solar Surplus -- 3 OPF Incorporating Renewable Generation Cost -- 3.1 Mathematical Model -- 4 Results and Discussions -- 5 Conclusion -- References. , Improvement of the Numerical Simulation of the Machine-Tractor Unit Functioning with an Elastic-Damping Mechanism in the Tractor Transmission of a Small Class of Traction (14 kN) -- Abstract -- 1 Introduction -- 2 Purpose of Research -- 3 Materials and Methods -- 4 Discussion Results -- 5 Conclusions -- Acknowledgements -- References -- Decomposition Algorithm for Irregular Placement Problems -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 3 A Solution Strategy -- 4 Conclusions -- References -- Smart Homes: Methodology of IoT Integration in the Architectural and Interior Design Process - A Case Study in the Historical Center of Athens -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Case Study: N Apartment and the Design Strategy of a Smart Home -- 3.1 New Forms of Design Stages Emerged - The Interaction Design and the Formation of Smart Space -- 4 'Enhanced' Architectural Design Emerging from the Integration of IoT in the Interior Design Process -- 5 Conclusion -- References -- The Mechanism of Intensification of Heat and Moisture Transfer During Microwave-Convective Processing Grain -- Abstract -- 1 Introduction -- 2 Main Part -- 2.1 The Mechanism of Removing Moisture -- 2.2 Regularities of Heat Transfer -- 2.3 Heat Moisture Transfer with Microwave Heating -- 3 Conclusions -- References -- Application of the Topological Optimization Method of a Connecting Rod Forming by the BESO Technique in ANSYS APDL -- Abstract -- 1 Introduction -- 2 Problem State -- 3 Description of the Optimization Method -- 4 Getting a New Part Shape -- 5 Optimization the Shape of an Existing Part -- 6 Conclusion -- References -- The Concept of Information Modeling in Interactive Intelligence Systems -- Abstract -- 1 Introduction -- 2 Problem State -- 3 Description of the Concept of Information Modeling in Interactive Intelligence Systems -- 4 Conclusion. , References.

Note: Intro -- Preface -- Contents -- About the Editors -- Sustainable Clean Energy System -- Adaptive Neuro-Fuzzy Inference Based Modeling of Wind Energy Harvesting System for Remote Areas -- Abstract -- 1 Introduction -- 2 Motivation and Objective of Research -- 3 Related Work -- 4 Wind Energy Harvesting System -- 4.1 Modelling of Wind Turbine -- 4.2 Modeling of the PMSG -- 5 Adaptive Neuro-Fuzzy Inference System -- 6 Simulation Results and Discussion -- 6.1 Limitation of Research -- 7 Conclusion and Future Scope -- Acknowledgments -- References -- Features of Distributed Energy Integration in Agriculture -- Abstract -- 1 Introduction -- 2 Problems of Integration of Distributed Energy Projects in Agriculture -- 3 Discussion and Results -- 4 Conclusions -- References -- Concept of Multi-contact Switching System -- Abstract -- 1 Introduction -- 2 MCSS -- 3 Discussion -- 4 Conclusions -- References -- The Design of Optimum Modes of Grain Drying in Microwave-Convective Effect -- Abstract -- 1 Introduction -- 2 Main Part -- 2.1 Research Method -- 2.2 Experiment -- 2.3 Results and Discussion -- 3 Conclusions -- References -- Isolated Agroecosystems as a Way to Solve the Problems of Feed, Ecology and Energy Supply of Livestock Farming -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Conclusions -- References -- Laboratory-Scale Implementation of Ethereum Based Decentralized Application for Solar Energy Trading -- Abstract -- 1 Introduction -- 2 Implement of DApp Using the Ethereum Open-Source Platform -- 2.1 Set Up the Ethereum Environment -- 2.2 Set Up React -- 2.3 Set Up Identities with Ganache and Wallets with Metamask for Participants -- 3 Implement of ERC20 Token -- 4 Implement Energy Trading -- 4.1 The User Uses ET Token to Do Both Sell Orders and Buy Orders -- 4.2 Trading -- 5 Deployment and Experimental Result -- 6 Conclusion. , References -- Solar Module with Photoreceiver Combined with Concentrator -- Abstract -- 1 Introduction -- 2 Creation of the Geometry of Working Profile of the Paraboloid Type Solar Radiation Concentrator -- 3 Results of Calculating the Profile of the Concentrator Paraboloid Type -- 4 Conclusion -- Acknowledgment -- References -- Modeling of Bilateral Photoreceiver of the Concentrator Photovoltaic Thermal Module -- Abstract -- 1 Introduction -- 2 Three-Dimensional Modeling of Bilateral Photoreceivers of Photovoltaic Thermal Solar Modules -- 3 Modeling and Visualization of the Thermal State of the Bilateral Photoreceiver of the Concentrator Photovoltaic Thermal Module -- 4 Conclusion -- Acknowledgment -- References -- Formation of Surface of the Paraboloid Type Concentrator of Solar Radiation by the Method of Orthogonal Parquetting -- Abstract -- 1 Introduction -- 2 Paraboloid Type Concentrators of the Solar Radiation -- 3 Method of the Orthogonal Parqueting of Surface of the Paraboloid Type Concentrator of the Solar Radiation -- 4 Paraboloid Type Concentrators of the Solar Radiation for Various Photoreceivers -- 5 Conclusion -- Acknowledgment -- References -- Determination of the Efficiency of Photovoltaic Converters Adequate to Solar Radiation by Using Their Spectral Characteristics -- Abstract -- 1 Introduction -- 2 Comparison of the Spectral Densities of Current Photoresponses of a Reference Silicon Photovoltaic Converter Under Various Exposure Conditions -- 3 Averaged Spectral Densities of Power of the Photoactive Part of the Spectrum for Silicon -- 4 Comparison of the Spectral Densities of Current Photoresponses of the Silicon Photovoltaic Converters -- 5 Dependence of the Efficiency of the Silicon Photovoltaic Converter Versus the Wavelength -- 6 Conclusion -- Acknowledgment -- References. , Modeling of the Thermal State of Systems of Solar-Thermal Regeneration of Adsorbents -- Abstract -- 1 Introduction -- 2 Research Problem Statement -- 3 Research Results -- 4 Conclusion -- References -- Economic Aspects and Factors of Solar Energy Development in Ukraine -- Abstract -- 1 Conclusions -- References -- A Method for Ensuring Technical Feasibility of Distributed Balancing in Power Systems, Considering Peer-to-Peer Balancing Energy Trade -- Abstract -- 1 Introduction -- 2 Notion of Power Flow and Its Feasibility -- 3 Proposed Method -- 3.1 Optimal Power Flow Problem (OPF) -- 3.2 Formulation (2) - Identification of Most Problematic Unit -- 3.2.1 Addition of New Constraint -- 3.3 Formulation (3) - Operator's Corrective Actions -- 4 Assessment of the Method -- 4.1 Measure of Market Effectiveness -- 4.2 Simulation Results -- 4.2.1 Numerical Results -- 5 Conclusions and Discussion -- References -- Sustainable Optimization, Metaheuristics and Computing for Expert System -- The Results of a Compromise Solution, Which Were Obtained on the Basis of the Method of Uncertain Lagrange Multipliers to Determine the Influence of Design Factors of the Elastic-Damping Mechanism in the Tractor Transmission -- Abstract -- 1 Introduction -- 2 Purpose of Research -- 3 Materials and Methods -- 4 Discussion Results -- 5 Conclusions -- Acknowledgments -- References -- Multiobjective Lévy-Flight Firefly Algorithm for Multiobjective Optimization -- Abstract -- 1 Introduction -- 2 Multiobjective Lévy-Flight Firefly Algorithm -- 2.1 Original FA Algorithm -- 2.2 LFFA Algorithm -- 2.3 mLFFA Algorithm -- 3 Multiobjective Test Functions -- 4 Results and Discussions -- 5 Conclusions -- References -- Cooperative FPA-ATS Algorithm for Global Optimization -- Abstract -- 1 Introduction -- 2 Cooperative FPA-ATS Algorithm -- 2.1 FPA Algorithm -- 2.2 ATS Algorithm. , 2.3 Cooperative FPA-ATS Algorithm -- 3 Benchmark Functions -- 4 Results and Discussions -- 5 Conclusions -- References -- Bayesian Optimization for Reverse Stress Testing -- Abstract -- 1 Introduction -- 1.1 Problem Statement -- 2 Supporting Literature -- 2.1 Other Optimization Methods -- 3 Bayesian Optimization: Overview -- 3.1 The LCB Acquisition Function -- 4 Changes to LCB Acquisition -- 4.1 Rationalization of the ZERO Acquisition Function -- 4.2 Definition: Run Length -- 5 Results -- 5.1 Discussion -- 6 Conclusion and Future Scope -- Appendix A -- References -- Modified Flower Pollination Algorithm for Function Optimization -- Abstract -- 1 Introduction -- 2 FPA and MoFPA Algorithms -- 2.1 Original FPA Algorithm -- 2.2 Proposed MoFPA Algorithm -- 3 Selected Benchmark Functions -- 4 Results and Discussions -- 5 Conclusions -- References -- Improved Nature-Inspired Algorithms for Numeric Association Rule Mining -- 1 Introduction -- 2 Background Information -- 2.1 Association Rule Mining -- 2.2 Differential Evolution for ARM Using Mixed Attributes -- 3 Improved DE for NARM -- 4 Experiments and Results -- 4.1 Discussion -- 5 Conclusion -- References -- Verification of the Adequacy of the Topological Optimization Method of the Connecting Rod Shaping by the BESO Method in ANSYS APDL System -- Abstract -- 1 Introduction -- 2 Analysis of Publications -- 3 Description of the Developed Optimization Method -- 4 Assessment of the Adequacy of the Developed Method -- 5 Conclusion -- References -- Method for Optimizing the Maintenance Process of Complex Technical Systems of the Railway Transport -- Abstract -- 1 Introduction -- 2 Block Diagram of the Method for Optimizing the Parameters of the Maintenance System -- 3 Monitoring of the Technical Condition of the Technical System -- 4 Automatic Identification System "PALM". , 5 Automation of Obtaining the Necessary Initial Data to Optimize Maintenance Periods -- 6 Set of Operations for Maintenance -- 7 Conclusion -- References -- Optimization of Power Supply System of Agricultural Enterprise with Solar Distributed Generation -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Their Discussion -- 4 Conclusion -- References -- Crack Detection of Iron and Steel Bar Using Natural Frequencies: A CFD Approach -- Abstract -- 1 Introduction -- 2 Mathematical Modeling -- 2.1 Governing Equation -- 2.2 Equation of Free Vibration -- 2.3 Boundary Conditions -- 3 Computational Domain and Mesh Generation -- 4 Numerical Results and Discussion -- 5 Conclusion -- 6 Future Study -- Acknowledgement -- References -- Belief Rule-Based Expert System to Identify the Crime Zones -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Crime Zone Prediction -- 3.2 Crime Zone -- 3.3 Purpose of Identifying Crime Zone -- 3.4 Types of Crime Zone -- 3.5 Crime Zone Prediction Techniques -- 3.6 Factors Related to Crime Zone -- 3.7 Design of BRB for Identifying Crime Zone -- 4 Implementation of Expert System -- 4.1 Initial Rule Base for X -- 4.2 User Interface -- 5 Results and Discussion -- 6 Conclusion -- References -- Parameter Tuning of Nature-Inspired Meta-Heuristic Algorithms for PID Control of a Stabilized Gimbal -- 1 Introduction -- 2 Description of the Control System -- 2.1 The Plant -- 2.2 Fitness Function Used for Meta-Heuristic Algorithms -- 3 Nature-Inspired Algorithms -- 3.1 Flower Pollination Algorithm -- 3.2 Teaching-Learning-Based Optimization Algorithm -- 4 Computational Experimental Design -- 5 Results and Discussions -- 5.1 Parameter Optimization -- 5.2 Robustness Analysis -- 5.3 Suggestions for Future Practitioners -- 6 Conclusion -- References. , Solving an Integer Program by Using the Nonfeasible Basis Method Combined with the Cutting Plane Method.

Note: Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Preface -- Acknowledgment -- Part I: Intelligent Computing and Applications -- 1 Assessing Mental Workload Using Eye Tracking Technology and Deep Learning Models -- 1.1 Introduction -- 1.2 Data Acquisition Method -- 1.2.1 Data Acquisition Experiment -- 1.3 Feature Extraction -- 1.4 Deep Learning Models -- 1.4.1 Artificial Neural Network -- 1.4.1.1 Training of a Neural Network -- 1.4.2 Bernoulli's Restricted Boltzmann Machines -- 1.5 Results -- 1.6 Discussion -- 1.7 Advantages and Disadvantages of the Study -- 1.8 Limitations of the Study -- 1.9 Conclusion -- References -- 2 Artificial Neural Networks in DNA Computing and Implementation of DNA Logic Gates -- 2.1 Introduction -- 2.2 Biological Neurons -- 2.3 Artificial Neural Networks -- 2.3.1 McCulloch-Pitts Neural Model -- 2.3.2 The Perceptron -- 2.3.3 ANN With Continuous Characteristics -- 2.3.4 Single-Layer Neural Network -- 2.3.5 Multilayer Neural Network -- 2.3.6 Learning Process -- 2.4 DNA Neural Networks -- 2.4.1 Formation of Axon by DNA Oligonucleotide and Generation of Output Sequence -- 2.4.2 Design Strategy of DNA Perceptron -- 2.4.2.1 Algorithm -- 2.4.2.2 Implementation of the Algorithm -- 2.5 DNA Logic Gates -- 2.5.1 Logic Gates Using Deoxyribozymes -- 2.5.1.1 Catalytic Activity of Deoxyribozyme -- 2.5.1.2 Controlling Deoxyribozyme Logic Gate -- 2.5.1.3 YES Gate -- 2.5.1.4 NOT Gate -- 2.5.1.5 AND Gate -- 2.5.1.6 ANDANDNOT Gates -- 2.5.2 Enzyme-Free DNA Logic Circuits -- 2.5.2.1 Construction of Enzyme-Free DNA Logic Gate -- 2.5.2.2 DNA Logic Circuits -- 2.5.3 DNA Logic Circuits Using DNA Polymerase and Nicking Enzyme -- 2.5.3.1 AND Reaction -- 2.5.3.2 OR Reaction -- 2.5.3.3 PROPAGATE (PROP) Reaction -- 2.5.4 Applications of DNA Logic Gate. , 2.5.4.1 Playing Tic-Tac-Toe by DNA -- 2.5.4.2 Medical Application of the Concept of DNA Logic Gate -- 2.6 Advantages and Limitations -- 2.7 Conclusion -- Acknowledgment -- References -- 3 Intelligent Garment Detection Using Deep Learning -- 3.1 Introduction -- 3.2 Literature -- 3.3 Methodology -- 3.3.1 Obtaining the Foreground Information -- 3.3.1.1 GMG Background Subtraction -- 3.3.1.2 Person Detection -- 3.3.2 Detection of Active Garments -- 3.3.3 Identification of Garments of Interest -- 3.3.3.1 Centroid Tracking -- 3.3.3.2 Pose Estimation -- 3.3.3.3 Calculation of Confidence Score -- 3.4 Experimental Results -- 3.4.1 Dataset Used -- 3.4.2 Experimental Results and Statistics -- 3.4.3 Analysis of the Proposed Approach -- 3.5 Highlights -- 3.6 Conclusion and Future Works -- Acknowledgements -- References -- 4 Intelligent Computing on Complex Numbers for Cryptographic Applications -- 4.1 Introduction -- 4.2 Modular Arithmetic -- 4.2.1 Introduction -- 4.2.2 Congruence -- 4.2.3 Modular Arithmetic Operations -- 4.2.4 Inverses -- 4.3 Complex Plane -- 4.3.1 Introduction -- 4.3.2 Complex Number Arithmetic Operations and Inverses -- 4.4 Matrix Algebra -- 4.4.1 Introduction -- 4.4.2 Matrix Arithmetic Operations -- 4.4.3 Inverses -- 4.5 Elliptic Curve Arithmetic -- 4.5.1 Introduction -- 4.5.2 Arithmetic Operations on E(GF(p)) -- 4.6 Cryptographic Applications -- 4.6.1 Hill Cipher -- 4.6.2 Elliptic Curve Cryptography -- 4.6.2.1 Elliptic Curve Encryption Scheme -- 4.6.2.2 Elliptic Curve Signature Scheme -- 4.6.3 Quantum Cryptography -- 4.7 Conclusion -- References -- 5 Application of Machine Learning Framework for Next-Generation Wireless Networks: Challenges and Case Studies -- 5.1 Introduction -- 5.2 Machine/Deep Learning for Future Wireless Communication -- 5.2.1 Automatic Modulation Classification -- 5.2.2 Resource Allocation (RA). , 5.2.3 Channel Estimation/Signal Detection -- 5.2.4 Millimeter Wave -- 5.3 Case Studies -- 5.3.1 Case Study-1: Automatic Modulation Classification -- 5.3.1.1 System Model -- 5.3.1.2 CNN Architectures for Modulation Classification -- 5.3.1.3 Results and Discussion -- 5.3.2 Case Study 2: CSI Feedback for FDD Massive MIMO Systems -- 5.3.2.1 Proposed Network Model -- 5.3.2.2 Results and Discussion -- 5.4 Major Findings -- 5.5 Future Research Directions -- 5.6 Conclusion -- References -- 6 Designing of Routing Protocol for Crowd Associated Networks (CrANs) -- 6.1 Introduction -- 6.1.2 Challenges -- 6.1.2.1 Limitation of Research -- 6.2 Background Study -- 6.2.1 AdHoc Network -- 6.2.2 WSN -- 6.2.3 MANETs -- 6.2.4 VANETs -- 6.2.5 FANETs -- 6.2.6 Overview of Routing Protocols -- 6.2.6.1 MANET -- 6.2.6.2 VANET -- 6.2.6.3 FANETs -- 6.2.6.4 MANETs -- 6.2.6.5 VANETs -- 6.2.6.6 FANETs -- 6.2.7 Mobility Model -- 6.2.7.1 MANETs -- 6.2.7.2 VANETs -- 6.2.7.3 FANETs -- 6.2.8 Types of Communication -- 6.2.8.1 MANET -- 6.2.8.2 VANET -- 6.2.9 QOS -- 6.2.9.1 Packet Loss -- 6.2.9.2 Bandwidth -- 6.2.9.3 Data Rate -- 6.2.9.4 Frequency -- 6.2.9.5 Packet Delivery Ratio (PDR) -- 6.2.9.6 Bit Noise Ratio -- 6.3 CrANs -- 6.3.1 Structure of CrANs -- 6.3.2 Routing -- 6.3.2.1 Single Hop -- 6.3.2.2 Multiple Hop -- 6.3.3 Classification of Routing Protocol -- 6.3.3.1 Location Base Protocol -- 6.3.3.2 Route Discovery -- 6.3.3.3 Protocol Operation -- 6.3.4 Challenge -- 6.3.4.1 Latency -- 6.3.4.2 Reliability -- 6.3.4.3 Security -- 6.3.4.4 Power Consumption -- 6.3.4.5 Energy -- 6.3.5 Applications -- 6.3.5.1 Monitoring -- 6.3.5.2 Control and Automation -- 6.3.5.3 Safety -- 6.3.5.4 Nuclear Power Plants -- 6.3.5.5 Deserts -- 6.3.5.6 Recovery Structure -- 6.3.5.7 Earth Quake -- 6.3.5.8 Road Blasts -- 6.4 Simulation of MANET Network -- 6.4.1 Deployment Area. , 6.4.2 Divide Deployment Area Into Equal Zones -- 6.4.3 Getting Positions of the Sensor Nodes -- 6.4.4 Mesh Formation -- 6.4.5 Getting the Minimum Spanning Tree for the Whole Placement Area -- 6.4.6 Energy Calculation -- 6.4.7 Average Delay -- 6.4.8 Throughput -- 6.5 Simulation of VANET Network -- 6.5.1 Placement of Nodes -- 6.5.2 Sender Node and Receiver Node -- 6.5.3 Euclidean Distance Between Two Coordinates -- 6.5.4 Separation of Faulty Nodes -- 6.5.5 Best Match of the Node -- 6.5.6 Cases of Simulation -- 6.5.7 Delay -- 6.5.8 Packet Delivery Ratio -- 6.5.9 Throughput -- 6.6 CrANs -- 6.6.1 Deploy of Nodes -- 6.6.2 Info Transfer 1 -- 6.6.3 Calculate the Fitness Function -- 6.6.4 Routing Nodes -- 6.7 Conclusion -- References -- 7 Application of Group Method of Data Handling- Based Neural Network (GMDH-NN) for Forecasting Permeate Flux (%) of Disc-Shaped Membrane -- 7.1 Introduction -- 7.1.1 Motivation, Background and Literature Review -- 7.1.2 Novelty and Objective of the Chapter -- 7.1.3 Research Contribution -- 7.1.4 Organization of the Chapter -- 7.2 Experimental Procedure -- 7.3 Methodology -- 7.3.1 Generation of Data -- 7.3.2 Group Method of Data Handling-Based Neural Network -- 7.3.3 Artificial Neural Network -- 7.3.4 Normalization of the Data -- 7.3.5 Analysis of Error -- 7.3.6 Advantages and Disadvantages of the Study -- 7.4 Results and Discussions -- 7.4.1 Development of GMDH Model -- 7.4.2 Analysis of Error -- 7.4.3 Comparative Study -- 7.4.4 Sensitivity Analysis -- 7.4.5 Major Findings -- 7.5 Conclusions -- 7.5.1 Limitation -- 7.5.2 Future Research Direction -- Acknowledgements -- References -- 8 Automated Extraction of Non-Functional Requirements From Text Files: A Supervised Learning Approach -- 8.1 Introduction -- 8.1.1 Requirements Descriptions are as Follows -- 8.1.1.1 Business Requirements -- 8.1.1.2 Requirements of Users. , 8.1.1.3 System Requirements -- 8.1.1.4 Functional Requirements -- 8.1.1.5 Non-Functional Requirements -- 8.1.2 Examples of Non-Functional Requirements -- 8.1.2.1 Benefits of Non-Functional Requirements -- 8.1.2.2 Drawbacks of Non-Functional Requirements -- 8.1.3 Problem Statement -- 8.1.4 Research Objectives -- 8.1.5 Scope of Work -- 8.2 Literature Survey -- 8.3 Methodology -- 8.3.1 Search String Planning -- 8.3.2 Classifier Configuration -- 8.3.2.1 Supervised Machine Learning -- 8.3.2.2 Supervised Learning Algorithms -- 8.4 Dataset -- 8.5 Evaluation -- 8.6 Conclusion -- References -- 9 Image Classification by Reinforcement Learning With Two-State Q-Learning -- 9.1 Introduction -- 9.2 Proposed Approach -- 9.3 Datasets Used -- 9.3.1 ImageNet -- 9.3.2 Cats and Dogs Dataset -- 9.3.3 Caltech-101 -- 9.4 Experimentation -- 9.5 Conclusion -- References -- 10 Design and Development of Neural-Fuzzy Control Model for Computer-Based Control Systems in a Multivariable Chemical Process -- 10.1 Introduction -- 10.1.1 Programmable Logic Controller -- 10.1.1.1 Merits of PLC Over Relay Logic -- 10.1.1.2 Various Modules of PLC -- 10.1.1.3 Working of PLC -- 10.2 Distributed Control System -- 10.2.1 DCS Evolution -- 10.2.2 DCS Provisions -- 10.2.3 Main Components of DCS -- 10.2.4 Different Hierarchy Levels of DCS -- 10.2.5 Advantages of DCS -- 10.3 Fuzzy Logic -- 10.4 Artificial Neural Network -- 10.4.1 Artificial Neural Network's Framework -- 10.5 Neuro-Fuzzy -- 10.5.1 Neural Network, Fuzzy Logic, and Neuro-Fuzzy Concepts -- 10.5.2 Design of Neuro-Fuzzy Controller -- 10.5.3 Software Used -- 10.6 Case Study -- 10.6.1 Objective -- 10.6.2 Description -- 10.6.3 Formulation of Control Problem -- 10.6.4 Formulation of Control Strategy -- 10.6.5 Level of Instrumentation in Case Study -- 10.7 Software Implementation on Graphical User Interface -- 10.8 Results and Discussion. , 10.9 Discussion.

Note: Intro -- Foreword -- Preface -- Acknowledgements -- Contents -- A Performance Analysis of DF Model in the Energy Harvesting Half-Duplex and Full-Duplex Relay Networks -- 1 Introduction -- 2 Network Model -- 2.1 The Full Duplex Relaying Model -- 2.2 The Half-Duplex Relaying -- 3 The Outage Probability and Throughput Analysis -- 3.1 The Outage Probability Analysis -- 3.2 The Throughput Analysis -- 4 Numerical Results -- 5 Conclusion -- References -- 2 A Model of Swarm Intelligence Based Optimization Framework Adjustable According to Problems -- Abstract -- 1 Introduction -- 2 Background -- 2.1 The Concept of Intelligent Optimization -- 2.2 Swarm Intelligence -- 2.3 Essentials of Swarm Intelligence Based Techniques-Algorithms -- 3 A Model of Swarm Intelligence Based Optimization Framework -- 3.1 Programming Approach -- 3.2 General Model Structure -- 4 General Working Mechanism of the Framework -- 4.1 Intelligent Behaviors -- 4.2 Parser -- 4.3 Algorithm Infrastructure -- 4.4 Visual Support -- 4.5 An Example Scenario -- 5 Discussion -- 6 Future Research Directions -- 7 Conclusion -- Acknowledgements -- References -- Domain Model Definition for Domain-Specific Rule Generation Using Variability Model -- 1 Introduction -- 2 Related Work -- 3 Business Process Models and Constraints -- 4 Ontology-Based Conceptual Domain Model -- 5 Language Definition of a Domain Model -- 5.1 Language Description -- 5.2 Syntax -- 5.3 Abstract Syntax -- 5.4 Concrete Syntax -- 6 Rule Language Definition -- 7 Implementation of Principle Architecture of DSRL Generator -- 7.1 Architecture -- 7.2 Mappings Domain Model and Domain-Specific Rule Language -- 7.3 Domain Model Translation into DSR -- 8 Generated Rule Analysis and Evaluation -- 9 Discussion -- References -- A Set-Partitioning-Based Model to Save Cost on the Import Processes -- 1 Introduction -- 2 Background. , 2.1 Supply Chain -- 2.2 Regulations -- 2.3 Regulations and Supply Chain -- 2.4 Certification Process -- 3 Proposal -- 3.1 Current Problem -- 3.2 Whole Applied Programming -- 3.3 Set Partitioning Problem -- 3.4 SPaP example -- 4 Proposed Mathematical Model -- 5 Computational Experimentation -- 5.1 Equipment -- 5.2 Test Cases -- 5.3 Analysis and Results -- 5.4 Conclusions -- 6 Future Research Directions -- References -- Combining Genetic Algorithm with Variable Neighborhood Search for MAX-SAT -- 1 Introduction -- 2 Maximum Satisfiability Problem (MAX-SAT) -- 3 Basic Variable Neighborhood Search (VNS) -- 4 A Variable Neighborhood Search Structure Based Genetic Algorithm (VNS-GA) -- 5 Experimental Results -- 5.1 Test Suite and Parameter Settings -- 5.2 Observed Behavior -- 5.3 Statistical Analysis -- 6 Conclusions -- References -- 6 Enzyme Classification on DUD-E Database Using Logistic Regression Ensemble (Lorens) -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Binary Logistic Regression -- 2.2 Logistic Regression Classification by Ensembles from Random Partitions (LR-CERP) -- 2.3 Logistic Regression Ensemble (Lorens) -- 2.4 Cross Validation -- 3 Materials and Method -- 3.1 Data Source -- 3.2 Variable -- 3.3 Analysis Steps -- 4 Results and Discussion -- 4.1 Characteristic of Enzymes on DUD-E Database -- 4.2 Binary Logistic Analysis for Enzymes on DUD-E Database -- 4.3 Analysis Logistic Regression Ensembles (Lorens) to Classify DUD-E Database -- 4.4 Random Partition and Model Building -- 4.5 Classification by Cross Validation -- 5 Conclusion -- Acknowledgements -- References -- 7 Consolidation of Host-Based Mobility Management Protocols with Wireless Mesh Network -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Terminology -- 3.1 Host-Based Mobility Management Protocols -- 3.2 Wireless Mesh Network -- 4 Simulation Design. , 4.1 Simulation Setup -- 4.2 Performance Metrics -- 5 Results and Discussion -- 6 Conclusion -- Acknowledgements -- References -- Application of Parallel Computing Technologies for Numerical Simulation of Air Transport in the Human Nasal Cavity -- 1 Introduction -- 2 Background -- 3 Statement of the Physical Problem -- 4 The Numerical Algorithm -- 5 Algorithm of Parallelization -- 6 Results of Numerical Simulation -- 7 Future Research Directions -- 8 Conclusion -- References -- 9 Genetic Algorithms-Based Techniques for Solving Dynamic Optimization Problems with Unknown Active Variables and Boundaries -- Abstract -- 1 Introduction -- 2 Dynamic Optimization Problems with Unknown Active Variables and Boundaries (DOPUAVBs) -- 3 Genetic-Based Algorithms for Solving DOPUAVBs -- 3.1 SGA -- 3.2 GAUAV -- 3.3 GAUB -- 3.4 GAUAVB -- 4 Experimental Setup, Analysis and Discussion -- 4.1 Comparison Based on the Quality of Solutions -- 4.2 Comparison Based on Feasibility -- 5 Conclusions and Future Work -- References -- 10 Text Segmentation Techniques: A Critical Review -- Abstract -- 1 Introduction -- 2 Review Method -- 3 Results -- 4 Discussion -- 5 Conclusion -- Acknowledgements -- References -- On-Line Power Systems Security Assessment Using Data Stream Random Forest Algorithm Modification -- 1 Introduction -- 2 Problem Formulation -- 2.1 Existing Approaches to Emergency and Operational Control -- 3 Proposed Approach -- 3.1 Base Classifier Weighting Function -- 3.2 Forgetting Strategy -- 3.3 Proximity Driven Streaming Random Forest -- 4 Structure of an Automatic Intelligent System -- 5 Experimental Evaluation -- 5.1 L-index -- 5.2 Failure Scenarios and Results on IEEE 118-Bus Test System -- 6 Conclusions -- References -- 12 Enhanced Security of Internet Banking Authentication with EXtended Honey Encryption (XHE) Scheme -- Abstract -- 1 Introduction. , 2 Attack Models on Password-Based Authentication System and Its Countermeasures -- 3 A Survey of Malaysian Online Banking Authentication Systems and Theirs Countermeasures -- 4 Extended Honey Encryption (HE) Scheme -- 4.1 Preliminaries -- 4.2 Extended Honey Encryption (XHE) Scheme -- 5 Extended Honey Encryption in Enhancing Security of Internet Banking Authentication System -- 6 Conclusion -- Acknowledgements -- References -- 13 An Enhanced Possibilistic Programming Model with Fuzzy Random Confidence-Interval for Multi-objective Problem -- Abstract -- 1 Introduction -- 2 Preliminary Studies and Definitions -- 2.1 Fuzzy Random Regression -- 2.2 Possibilistic Programming -- 2.2.1 Possibility and Necessity Measures -- 2.2.2 Handling Uncertainties Through Necessity Measure -- 3 Solution Approach: Modality Approach for Solving Multi-objective Possibilistic Problem with Fuzzy Random Confidence-Interval -- 3.1 Terminology and Notation -- 3.2 Solving Multi-objective Possibilistic Problem -- 3.3 Weighting Method for Multi-objective Linear Fractional Problem -- 4 Numerical Experimentation -- 5 Discussion and Future Direction -- 6 Conclusion -- Acknowledgements -- References -- 14 A Crowdsourcing Approach for Volunteering System Using Delphi Method -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Volunteers -- 2.2 Volunteer Management -- 2.3 Recruitment and Selection for Volunteers -- 2.4 Volunteer Management Systems and Platforms -- 2.5 Crowdsourcing -- 2.6 The Process of Crowdsourcing -- 3 Proposed Framework for Volunteering System -- 3.1 Framework -- 3.2 Volunteer in Crowdsourcing -- 4 Selecting Volunteer Criteria Using Delphi Method -- 4.1 Delphi Method -- 4.2 Expert Panel -- 4.3 Research Design -- 4.3.1 Phase 1: Literature Review -- 4.3.2 Phase 2: Narrowing Down -- 4.3.3 Phase 3: Ranking -- 5 Results -- 6 Discussion -- 7 Conclusion. , Acknowledgements -- References -- 15 One Dimensional Vehicle Tracking Analysis in Vehicular Ad hoc Networks -- Abstract -- 1 Introduction -- 2 Background -- 3 Estimated Filter -- 4 Kalman Filter on VANET System -- 5 Mathematical Overview of Kalman Filter -- 6 Vehicle Tracking Algorithm -- 7 Simulation and Results -- 7.1 When New Estimation not Calculated (Initial Condition) -- 7.1.1 Accurate Estimation (Medium Speed Vehicle) -- 7.1.2 Less Accurate Estimation (Lower Speed Vehicle) -- 7.1.3 Less Accurate Estimation (High Speed Vehicle) -- 7.1.4 Case of Moving Velocity Vehicle -- 7.1.5 Case of Noisy Prediction (Don't Sure About the Exact Velocity) -- 8 Conclusion -- Acknowledgements -- References -- 16 Parallel Coordinates Visualization Tool on the Air Pollution Data for Northern Malaysia -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Related Work -- 3 Methodology -- 3.1 APVT Parameters Organization and Display -- 3.2 Design Goals -- 3.3 Data Collection -- 3.4 Relationship with Parallel Coordinates -- 4 Visualization Techniques -- 4.1 Parallel Coordinates -- 4.2 Implementation -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- 17 Application of Artificial Bee Colony Algorithm for Model Parameter Identification -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Artificial Bee Colony Optimization -- 2.2 Problem Formulation -- 3 Numerical Results -- 4 Discussion -- 5 Conclusions -- 6 Future Research Directions -- Acknowledgements -- References -- 18 A Novel Weighting Scheme Applied to Improve the Text Document Clustering Techniques -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Text Clustering Method -- 4 Evaluation Measures -- 5 Experimental Results -- 6 Conclusion -- Acknowledgements -- References -- 19 A Methodological Framework to Emulate the Visual of Malaysian Shadow Play With Computer-Generated Imagery. , Abstract.

Note: Intro -- Contents -- Preface -- Part A: Clean Energy -- Part B: Transportation Industry -- Part A: Clean Energy -- Chapter 1 -- RES-Based Multipurpose Plant for Hydrogen Production -- Abstract -- Notations and Abbreviations -- Introduction -- Concept of RES-Based Plant for Hydrogen Production -- Power Generation and Utilization in the Plant -- Production of the Distilled Water -- Hydrogen Production, Usage and Realisation -- Matching of the Capacities of the Plant's Technological Equipment -- Control System of the Technological Processes -- Further Research Directions -- Conclusion -- Acknowledgments -- References -- Chapter 2 -- Developing a Bayesian Network to Model Environmental, Organizational, and Human Risk Factors: A Case Study on Wind Turbines -- Abstract -- Introduction -- The Structure of Wind Turbines -- BN (Background, Concepts and Applications) -- BN Background -- BN Concept -- BN Application -- Building a BN -- Developing a BN for Risk Assessment of Wind Turbines -- Model Implementation and Discussion -- Impact of Environmental Factors on Reliability -- Impacts of Organizational and Human Factors on Reliability -- Conclusion -- References -- Chapter 3 -- Digital Technologies for the Implementation of Intelligent Diagnostics of the Insulation of Power Supply Systems with Insulated Neutral in Operating Mode -- Abstract -- Introduction -- Materials and Methods -- Conclusion -- Future Research Works -- References -- Chapter 4 -- Irrigation System of Agricultural Fields with the Use of Solar Energy -- Abstract -- Introduction -- Purpose of the Study -- Materials and Methods -- Discussion Results -- Description of the Developed Irrigation System -- Сonclusion -- References -- Chapter 5 -- Strategies Hybrid Simulation for Regional Market Development of Renewable Energy -- Abstract -- Introduction -- Literature Review -- Method. , Proposed Methodology for Evaluating the Functional Safety Analysis -- Results and Discussion -- Conclusion -- Acknowledgments -- References -- Chapter 6 -- RES-Based Power Plants versus Polluting Power Plants: Pros and Cons -- Abstract -- List of Notations and Abbreviations -- Introduction -- RES-Based Power Plants -- Solar Power Plants -- Wind Power Plants -- Hydroelectric Power Plants -- Environment Polluting Power Plants -- Coal Power Plants -- Natural Gas Power Plants -- Nuclear Power Plants -- Comparison of the RES-Based and Polluting Power Plants -- Other Advantages of the RES-Based Power Plants -- Conclusion -- Acknowledgments -- References -- Chapter 7 -- A Comprehensive Study of System Building Blocks for Radio Frequency Energy Harvesting -- Abstract -- 1. Introduction -- 2. Overview of an RFEH System -- 2.1. Power Conversion Efficiency -- 2.2. Sensitivity -- 2.3. Frequency Bands and Availability -- 2.4. Near and Far-Field Radiations -- 3. Antenna -- 3.1. Parameters of Interest -- 3.2. Developments in Design -- 4. Impedance Matching -- 4.1. Q Factor and Tuning -- 4.2. Reflection Coefficient and Efficiency -- 5. Rectifier -- 5.1. Diodes in Rectifier -- 5.2. CMOS -- 5.3. Active Diodes -- 6. Load/Energy Storage Devices -- 6.1. Battery Charging -- 6.2. Effect of Load on Efficiency -- 7. Power Management -- 8. Challenges and Limitations -- Conclusion -- References -- Part B: Transportation Industry -- Chapter 8 -- The Management of Community Participation in Rural Infrastructure Development in the Mekong River Delta, Vietnam -- Abstract -- Introduction -- Community Participation in Rural Infrastructure Development -- Community and Community Participation -- Community -- Community Participation -- Rural Transport Infrastructure Development -- Rural Transport Infrastructure -- Rural Transport Infrastructure Development. , Community Participation in Rural Transport Infrastructure Development -- Forms of Community Participation in Rural Transport Infrastructure Development -- The Role of Community Participation in Rural Transport Infrastructure Development -- Different Types of Community Participation in Rural Transport Infrastructure Development -- The Management of Community Participation in Rural Infrastructure Development and Its Influential Factors -- The Management of Community Participation in Rural Transport Infrastructure Development -- Influential Factors of the Management for Community Participation in Rural Transport Infrastructure Development -- Community Management Qualifications and Experience -- Mechanism and Model of Community Participation Management -- Methods and Organization of Community Participation Management -- Objects and Characteristics of the Community Involved -- Other Factors That Influence Participation Management -- Practical Experience For Managing Community Participation in Rural Transport Infrastructure Development -- Experience of Some Localities in Vietnam on Managing Community Participation in Rural Transport Infrastructure Development -- The Management of Community Participation in the Development of Rural Community Infrastructure in Mekong River Delta, Vietnam -- Introduction to the Mekong Delta, Vietnam -- Current Situation of Community Participation Management in Rural Transport Infrastructure Development in the Mekong Delta, Vietnam -- Community Management Qualifications in Rural Transport Infrastructure Development -- Mechanism and Management Model in Rural Transport Infrastructure Development -- Characteristics of Rural Transport Infrastructure with Participatory Management from the Community -- Methods and Management Organization in Rural Transport Infrastructure Development. , Objects and Characteristics of the Community in Rural Transport Infrastructure Development -- Model of Community Participation Management in Rural Transport Infrastructure Development -- Effective Management of Community Participation in Rural Transport Infrastructure Development -- Solutions to Promote Management Community Participation in Rural Infrastructure Development in Community Provinces in the Mekong River, Vietnam -- Building Models and Coordination Mechanisms for Community Representatives to Manage Community Participation in Rural Transport Infrastructure Development -- Improve Management Qualifications for Community Representatives to Manage Participation in Rural Transport Infrastructure Development -- Develop Methods and Organize the Management of Community Participation in Rural Transport Infrastructure Development -- Regularly Train Community Representatives to Manage and Advocate for the Community and to Participate in the Management and Contribution For Rural Transport Infrastructure Development -- Limitations and Future Research -- Conclusions and Recommendations -- Conclusions -- Recommendations -- For the State -- For Localities -- Acknowledgment -- References -- Chapter 9 -- Warning System for Cracked Pipes in Autonomous Vehicles -- Abstract -- 1. Introduction -- 2. Axis Aligned Bounding Boxes -- 3. Assumptions -- 4. Implementation -- 5. Results -- 6. Limitations -- 7. Future Research Directions -- Conclusion -- References -- Chapter 10 -- Contribution of Machine Learning to Rail Transport Safety -- Abstract -- Introduction -- Analytical Framework -- Literature Review -- Motivations, Objectives and Contributions with Respect the State of the Art -- Method 1: Proposed Methodology for Evaluating the Functional Safety Analysis -- Acquisition and Modelling of Safety Knowledge -- Classification of Accident Scenarios. , Evaluation of Accident Scenarios -- Method 2: Proposed Methodology for Assessment the Safety of Critical Software -- Acquisition and Modelling of Knowledge -- Definition of the Description Language of the SEEA Examples -- Developing the SEEA Case Base -- Parameterization of the CBR Process -- Entering the New SEEA Target Case for Evaluation -- Indexing of the SEEA Case Base -- Extraction of Similar SEEA Cases -- Adaptation of Extracted Cases (Source Cases) -- Updating the SEEA Base -- Results and Discussion -- Validation -- Discussion -- Contributions and Benefits of Results -- Limitations -- Directions/Future Research Work -- Conclusion -- References -- Chapter 11 -- The Power of Variable Freeing and Variable Sum Bounds in Solving the Linear Knapsack Problem -- Abstract -- 1. Introduction -- 2. Applications of the Knapsack Model -- 3. The Linear Integer Problem -- 3.1. The General Linear Integer Problem -- 3.1.1. Continuous Optimal Solution of the General Integer Problem -- 3.2. Knapsack Problem and Statement of Problem -- 3.2.1. Continuous Optimal Solution -- 3.2.2. The Upper Bound of the Objective Value -- 3.2.3. Variable Sum Bounds -- 4. Variable Freeing -- 4.1. Variable Freeing Theorem -- 4.2. Strength of Variable Freeing in a Branch and Bound Setting -- 5. Reformulation of a Knapsack Problem -- 5.1. Reformulation by Introducing Binary Variables -- 5.2. Reformulation as a Bounded Variable -- 6. Proposed Algorithm -- 6.1. Numerical Illustration -- 7. Computational Experiments -- 8. Limitations -- Conclusion -- Further Research -- References -- About the Editors -- Index -- Blank Page -- Blank Page.

Note: Intro -- Conference Committees ICO'2021 -- Steering Committee -- General Chair -- Honorary Chairs -- TPC Chairs -- Special Sessions Chairs -- Keynote Chairs and Panel Chairs -- Publicity and Social Media Chairs -- Workshops and Tutorials Chairs -- Posters and Demos Chairs -- Sponsorship and Exhibition Chairs -- Publications Chairs -- Webinar Coordinator -- Web Editor -- Reviewers -- Contents -- Editors -- Sustainable Artificial Intelligence Applications -- Low-Light Image Enhancement with Artificial Bee Colony Method -- Abstract -- 1 Introduction -- 2 Image Contrast -- 3 Enhancement of Image Contrast by Using ABC -- 4 Experimental Settings and Results -- 5 Conclusions -- References -- Optimal State-Feedback Controller Design for Tractor Active Suspension System via Lévy-Flight Intensified Current Search Algorithm -- Abstract -- 1 Introduction -- 2 Dynamic Model of Tractor Active Suspension System -- 3 Problem Formulation -- 4 Results and Discussions -- 5 Conclusions -- References -- The Artificial Intelligence Platform with the Use of DNN to Detect Flames: A Case of Acoustic Extinguisher -- Abstract -- 1 Introduction -- 2 The Use of Deep Neural Networks for Flame Detection -- 3 Architecture of Neural Networks Used -- 4 Conclusion -- References -- Adaptive Harmony Search for Cost Optimization of Reinforced Concrete Columns -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Numerical Example -- 4 Conclusion -- Acknowledgments -- References -- Efficient Traffic Signs Recognition Based on CNN Model for Self-Driving Cars -- Abstract -- 1 Introduction -- 2 Related Work -- 3 The Proposed Model -- 4 Experimental Work -- 4.1 Used Dataset -- 4.2 Programming Tools -- 4.3 Evaluation -- 5 Illustration of the Obtained Results -- 6 Discussion -- 7 Conclusion and Future Suggestions -- References. , Optimisation and Prediction of Glucose Production from Oil Palm Trunk via Simultaneous Enzymatic Hydrolysis -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Material -- 2.2 Preparation of Immobilized Beads of Enzymes -- 2.3 Extraction of Starch and Enzymatic Hydrolysis -- 2.4 Experimental Design and Statistical Analysis by Response Surface Methodology (RSM) -- 2.5 Glucose Prediction by RSM and Artificial Neuron Network (ANN) -- 3 Result and Discussion -- 3.1 Morphology of Immobilised Enzymes -- 3.2 Hydrolysis Performance of Immobilised Enzymes -- 3.3 Prediction of Glucose Production -- 3.3.1 RSM Modelling -- 3.3.2 ANN Modelling -- 3.3.3 Comparison of Fitting Results -- 4 Conclusion -- Acknowledgement -- References -- Synthetic Data Augmentation of Cycling Sport Training Datasets -- 1 Introduction -- 2 Problem Statement -- 2.1 Data Augmentation -- 2.2 Basics of Cycling Training -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusion -- References -- Hybrid Pooling Based Convolutional Neural Network for Multi-class Classification of MR Brain Tumor Images -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Benchmark Data Set -- 2.2 Hybrid Pooling Based CNN Architecture -- 2.2.1 Hybrid Pooling -- 2.3 Model Validation -- 3 Results and Performance Analysis -- 4 Conclusion -- References -- Importance of Fuzzy Logic in Traffic and Transportation Engineering -- Abstract -- 1 Introduction -- 1.1 What is the Need to Use Fuzzy Logic? -- 1.2 Objectives -- 2 Motivation and Reason for Choosing Goa as the Study Area -- 3 History of Fuzzy Logic -- 4 Literature Review -- 5 Main Focus of the Paper Along with Issues and Problems -- 6 Architecture of the System of Fuzzy Logic -- 7 Methodology -- 8 Membership Function in Fuzzy Logic -- 9 Fuzzy Control -- 10 Applications of the System of Fuzzy Logic -- 11 Result and Discussion. , 12 Major Advantages of Fuzzy Logic -- 13 Major Disadvantages of Fuzzy Logic -- 14 Conclusion -- References -- A Fuzzy Based Clustering Approach to Prolong the Network Lifetime in Wireless Sensor Networks -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Modified LEACH Protocol Design -- 3.1 Network Model -- 3.2 Design of Fuzzy Logic Controller (FLC) -- 3.3 Operation of the Modified LEACH Protocol -- 4 Simulation Results -- 5 Conclusions -- References -- Visual Expression Analysis from Face Images Using Morphological Processing -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 4 Methodology -- 4.1 Face Detection -- 4.2 Pre-processing -- 4.2.1 Cropping and Augmentation -- 4.2.2 Morphological Processing -- 4.3 Classical Machine Learning Approaches -- 4.4 Deep Learning (CNN) Approach -- 5 Result Analysis -- 6 Visualization -- 7 Conclusion and Future Work -- References -- Detection of Invertebrate Virus Carriers Using Deep Learning Networks to Prevent Emerging Pandemic-Prone Disease in Tropical Regions -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Wing GeometricMorphometric -- 2.2 Convolutional Neural Networks -- 2.3 Convolutional Layers -- 2.4 Fully Connected Layers -- 3 Methodology -- 4 Implementation -- 5 Experimental Results -- 6 Conclusion -- Acknowledgement -- References -- Classification and Detection of Plant Leaf Diseases Using Various Deep Learning Techniques and Convolutional Neural Network -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Research Methodology -- 3.1 Dataset -- 3.2 Measurement of Performance -- 3.3 Approach -- 3.4 Results -- 4 Conclusion -- References -- Deep Learning and Machine Learning Applications -- Distributed Self-triggered Optimization for Multi-agent Systems -- 1 Introduction -- 2 Preliminaries and Graph Theory -- 3 System Model -- 4 Distributed Event-Triggered Algorithm. , 5 Distributed Self-triggered Algorithm -- 5.1 Communication Delays -- 6 Numerical Example -- 7 Conclusion -- References -- Automatic Categorization of News Articles and Headlines Using Multi-layer Perceptron -- 1 Introduction -- 2 Related Work -- 3 News Corpus Development -- 3.1 Data Statistics -- 4 News Classification Framework -- 4.1 Data Preprocessing -- 4.2 Word Embedding -- 4.3 Classifier Model Generation -- 4.4 Prediction -- 5 Experiments -- 6 Results Analysis -- 7 Comparison with Existing Approaches -- 8 Error Analysis -- 9 Conclusion -- References -- Using Machine Learning Techniques for Estimating the Electrical Power of a New-Style of Savonius Rotor: A Comparative Study -- Abstract -- 1 Introduction -- 2 Experimental Data -- 3 Prediction Methods -- 4 Results and Discussions -- 4.1 Artificial Models -- 4.2 Performance Evaluation of Empirical Models for Testing Data -- 5 Conclusions -- References -- Tree-Like Branching Network for Multi-class Classification -- 1 Introduction -- 2 Relation to Prior Work -- 2.1 Multi-task Learning -- 2.2 Knowledge Distillation -- 2.3 Neural Trees -- 3 Method -- 3.1 Problem Setup -- 3.2 Step 1: Class Relationship from Trained Networks -- 3.3 Step 2: Building Branching Networks -- 3.4 Step 3: Training with Knowledge Distillation -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Datasets and Experimental Results -- 5 Conclusion -- References -- Multi-resolution Dense Residual Networks with High-Modularization for Monocular Depth Estimation -- Abstract -- 1 Introduction -- 2 Three Layered Regular Modules for Multi-resolution DNN -- 3 High-Modularized Multi-resolution Architecture -- 4 Experiments -- 5 Conclusion -- Acknowledgments -- References -- A Decentralized Federated Learning Paradigm for Semantic Segmentation of Geospatial Data -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Algorithm. , 3.2 Model -- 3.3 Loss Function and Evaluation Metrics -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation and Results -- 5 Conclusion -- References -- Development of Contact Angle Prediction for Cellulosic Membrane -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Data Collection -- 2.2 Model Development -- 3 Result and Discussion -- 3.1 Effect of Filtration Process -- 3.2 Effect of Neuron Size and TVT Data Split -- 3.3 Optimization via Normality Approach -- 4 Conclusion -- Acknowledgments -- References -- Feature Engineering Based Credit Card Fraud Detection for Risk Minimization in E-Commerce -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Data Preprocessing Module -- 2.3 Feature Selection -- 2.4 Applying Machine Learning Techniques -- 3 Performance Evaluation -- 4 Conclusion and Future Work -- References -- DCNN-LSTM Based Audio Classification Combining Multiple Feature Engineering and Data Augmentation Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Data Augmentation -- 2.2 Spectral Feature Extraction -- 2.3 Deep CNN-LSTM Model Architecture -- 3 Results -- 4 Conclusion -- References -- Sentiment Analysis: Developing an Efficient Model Based on Machine Learning and Deep Learning Approaches -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Sentiment Analysis Process -- 4 The Proposed Sentiment Analysis Model -- 5 Experimental Work -- 5.1 Used Dataset -- 5.2 Programming Tools -- 5.3 Evaluation -- 5.4 The Obtained Results -- 6 Discussion -- 7 Comparison Between ML and DL Approaches -- 8 Conclusion and Future Suggestions -- References -- Improved Face Detection System -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Input Image -- 3.2 Contrast Stretching -- 3.3 Extract Facial Part -- 3.4 Extract Features -- 3.5 SVM Classifier -- 4 Result and Analysis -- 5 Conclusion and Future Works -- References. , Paddy Price Prediction in the South-Western Region of Bangladesh.