Intelligent Computing and Optimization: Proceedings of the 3rd International Conference on Intelligent Computing and Optimization 2020 (ICO 2020) (Advances in Intelligent Systems and Computing, 1324)

✍ Scribed by Pandian Vasant (editor), Ivan Zelinka (editor), Gerhard-Wilhelm Weber (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 1341
• Category: Library

✦ Synopsis

Third edition of International Conference on Intelligent Computing and Optimization and as a premium fruit, this book, pursue to gather research leaders, experts and scientists on Intelligent Computing and Optimization to share knowledge, experience and current research achievements. Conference and book provide a unique opportunity for the global community to interact and share novel research results, explorations and innovations among colleagues and friends. This book is published by SPRINGER, Advances in Intelligent Systems and Computing. Ca. 100 authors submitted full papers to ICO’2020. That global representation demonstrates the growing interest of the research community here. The book covers innovative and creative research on sustainability, smart cities, meta-heuristics optimization, cyber-security, block chain, big data analytics, IoTs, renewable energy, artificial intelligence, Industry 4.0, modeling and simulation. We editors thankall authors and reviewers for their important service. Best high-quality papers have been selected by the International PC for our premium series with SPRINGER.

✦ Table of Contents

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
Abstract
1 Introduction
2 Preliminaries
2.1 Cutting Plane Method
2.2 Nonfeasible Basis Method
3 Nonfeasible-Basis Cutting Plane Method
4 Computational Results
4.1 Generated Problem
4.2 Computational Results
4.3 Discussion
5 Conclusion
References
A New Technique for Solving a 2-Dimensional Linear Program by Considering the Coefficient of Constraints
Abstract
1 Introduction
2 The Proposed Approach
3 The Illustrative Examples
4 The Computational Results
5 Conclusions
References
A New Integer Programming Model for Solving a School Bus Routing Problem with the Student Assignment
Abstract
1 Introduction
2 Problem Description and the Proposed Model
3 Experimental Results
4 Conclusion
Acknowledgement
References
Distributed Optimisation of Perfect Preventive Maintenance and Component Replacement Schedules Using SPEA2
Abstract
1 Introduction
1.1 Challenges with Sequential Evolutionary Algorithm
2 Related Work
3 The Distributed Solution
3.1 The Proposed Architecture
3.2 The Proposed Distributed Algorithm and Flowcharts
4 MoHPBPSPEA2 Implementation
5 Results
5.1 Discussion
6 Conclusion
References
A Framework for Traffic Sign Detection Based on Fuzzy Image Processing and Hu Features
1 Introduction
2 Related Works
3 Detection Framework
3.1 Preprocessing
3.2 Transformation Using Fuzzy Inference
3.3 Segmentation
3.4 Morphological Closing and Filtering
3.5 Shape Verification
3.6 Detection
4 Result and Analysis
4.1 Experiment Setup
4.2 Detection Results
4.3 Performance Evaluation
4.4 Comparisons of Classifiers in Shape Verification
5 Conclusion
References
Developing a Framework for Vehicle Detection, Tracking and Classification in Traffic Video Surveillance
Abstract
1 Introduction
2 Related Work
3 System Architecture and Design
3.1 Dataset
3.2 Sample Process
3.3 Histogram of Oriented Gradient (HOG) Feature Extraction
3.4 Support Vector Machine (SVM) Classifier
3.5 Non-linear Suppression
3.6 Kalman Filter for Tracking
3.7 Haar –Like Feature Extraction
3.8 Load Classifier
3.9 Length Calculation
3.10 Classification
4 Implementation and Experiments
4.1 Experimental Setup
4.2 Implementation
4.3 Performance Evaluation
5 Conclusion and Future Work
References
Advances in Algorithms, Modeling and Simulation for Intelligent Systems
Modeling and Simulation of Rectangular Sheet Membrane Using Computational Fluid Dynamics (CFD)
Abstract
1 Introduction
2 Experiment Descriptions
3 Computational Fluid Dynamics (CFD)
3.1 Assumptions
3.2 Governing Equations
3.3 Boundary Conditions
3.4 Convergence and Grid Independency Test
4 Results and Discussions
4.1 Selection of Optimum Grid Size
4.2 CFD Analysis
4.3 Error Analysis
4.4 Model Validation
5 Conclusions
References
End-to-End Supply Chain Costs Optimization Based on Material Touches Reduction
Abstract
1 Introduction
1.1 Motivation and Objective
1.2 Methodology
1.3 Contribution
2 Literature Review
3 Touches-Based Cost Optimization Methodology
3.1 Analysis of a SC Levels Using a Touches-Approach
3.2 Incidence Matrix Generation and Numerical Example
3.3 Touches Subsets Cost Calculation
3.4 Generation of the Mathematical Model in Its “Set Covering” Form
4 Results Analysis
5 Conclusions and Future Research
References
Computer Modeling Selection of Optimal Width of Rod Grip Header to the Combine Harvester
Abstract
1 Introduction
2 Materials and Methods
3 Discussion Results
4 Conclusions
References
An Integrated CNN-LSTM Model for Micro Hand Gesture Recognition
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Data Collection
3.2 Data Pre-processing
3.3 CNN-LSTM Integrated Model
3.4 System Implementation
3.5 Cross Validation
4 Result and Discussion
4.1 CNN-LSTM Model on Standard Dataset
4.2 CNN-LSTM Model on Local Dataset
4.3 Comparison of Result
4.4 Cross Validation
4.5 Real Time Validaiton
5 Conclusion and Future Work
References
Analysis of the Cost of Varying Levels of User Perceived Quality for Internet Access
1 Introduction
2 Related Work
2.1 Abbreviations and Acronyms
3 Method
3.1 Determining Parameters Value for Experimental Analysis
3.2 Determining Formula for Bandwidth and Bandwidth Cost by Curve Fitting
3.3 Implementing MOS and Cost Relationship by Eliminating Bandwidth from Bandwidth vs Cost Formula
3.4 MOS and Bandwidth Cost
4 Results and Testing
4.1 Plotting MOS vs Bandwidth (Bps) with Different Packet Buffer Lengths
4.2 Plotting of MOS vs Bandwidth (Mbps) with Constant Packet Buffer Length Output
4.3 Plotting of Bandwidth vs Bandwidth Cost Relationship
4.4 Plotting of MOS vs Bandwidth Cost Relationship Output
4.5 Plotting of MOS and Bandwidth Cost Output with Different TCP Sources
5 Discussion and Further Work
References
Application of Customized Term Frequency-Inverse Document Frequency for Vietnamese Document Classification in Place of Lemmatization
Abstract
1 Introduction
2 Methodology
3 Data Collection and Pre-processing
3.1 Data Collection
3.2 Data Processing
4 Data Training
5 Conclusion and Perspectives
References
A New Topological Sorting Algorithm with Reduced Time Complexity
Abstract
1 Introduction
2 Related Works
3 Overview of the Proposed Algorithm
4 Algorithm
4.1 Pseudocode
4.2 Example
5 Analysis
5.1 Time Complexity
5.2 Space Complexity
6 Comparison with Related Works
7 Conclusions and Future Recommendation
References
Modeling and Analysis of Framework for the Implementation of a Virtual Workplace in Nigerian Universities Using Coloured Petri Nets
Abstract
1 Introduction
2 Framework for the Implementation of a Virtual Workplace in Nigerian Universities
3 Top-Level Module of the Virtual Workplace CPN Model
3.1 Conceptual Phase Module of the Virtual Workplace Model
3.2 Pre-implementation Phase Module of the Virtual Workplace CPN Model
3.3 Implementation Phase Module of the Virtual Workplace Model
3.4 Post-implementation Phase Module of the Virtual Workplace
4 Simulation and State Space Analysis
5 Conclusions
References
Modeling and Experimental Verification of Air - Thermal and Microwave - Convective Presowing Seed Treatment
Abstract
1 Introduction
2 Materials and Methods
3 Results and Discussion
3.1 Air-Thermal Treatment of Seeds
3.2 Dependence of Operation Modes of Seed Presowing Treatment on Parameters of Convective-Microwave Zone
3.3 Experimental Tests of Seed Presowing Treatment Modes.
4 Conclusion
References
Modeling of Aluminum Profile Extrusion Yield: Pre-cut Billet Sizes
Abstract
1 Introduction
2 Literature Review
3 Research Methodology
3.1 Problem Formulation
3.2 Solution Procedure
4 Case Studies
4.1 Case Study 1
4.2 Case Study 2
5 Conclusion
References
Models for Forming Knowledge Databases for Decision Support Systems for Recognizing Cyberattacks
Abstract
1 Introduction
2 Review and Analysis of Previous Research
3 Objectives of the Study
4 Methods and Models
5 Computational Experiments
6 Discussion of the Results of the Computational Experiment.
7 Further Research
8 Conclusions
References
Developing an Intelligent System for Recommending Products
Abstract
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Dataset Description
3.2 Pre-processing
3.2.1 Initial Database Based Pre-processing
3.2.2 Cleaning Text
3.2.3 Final Pre-processing and Training
3.3 Training
3.4 Testing and Rating Prediction
3.5 Product Recommendation
4 Experimental Results
5 Conclusion
References
Branch Cut and Free Algorithm for the General Linear Integer Problem
Abstract
1 Introduction
2 The General LIP
3 Variable Integral Restriction Freeing Theorem
4 Continuous Optimal Solution
5 Surrogate Constraint
6 Measuring Complexity Reduction
6.1 Numerical Illustration 1
6.1.1 Freeing the Selected Variable
7 Branch and Cut Algorithm
7.1 Proposed Branch, Cut and Free Algorithm
7.2 Verification of Optimality
7.2.1 Searching for the Optimal Integer Point
7.2.2 Optimality Is Verification
7.3 Numerical Illustration 2 [18]
8 Computational Experience
9 Conclusions
Acknowledgments
References
Resilience in Healthcare Supply Chains
1 Introduction
2 Literature Review
3 Health Care Supply Chain Design
4 Mathematical Model
4.1 Parameters
4.2 Decision Variables
5 Case Study
6 Computational Results
7 Conclusions
References
A Comprehensive Evaluation of Environmental Projects Through a Multiparadigm Modeling Approach
Abstract
1 Introduction
2 Methodology
2.1 Discrete Event Simulation
2.2 Dynamic Systems Modeling
2.3 Real Options
2.4 Cost-Effectiveness Evaluation
2.5 Multiparadigm Evaluation Proposal
3 Case Study
4 Conclusions
References
Plant Leaf Disease Recognition Using Histogram Based Gradient Boosting Classifier
1 Introduction
2 Related Work
3 Proposed Framework for Recognizing Plant Leaf Diseases
3.1 Dataset
3.2 Enhancing Image
3.3 Clustering by Adaptive Centroid Based Segmentation
3.4 Selecting Features Using HLTP
3.5 Classifying Using Histogram-Based Gradient Boosting Classifier
4 Results and Observations
5 Conclusion and Future Work
References
Exploring the Machine Learning Algorithms to Find the Best Features for Predicting the Breast Cancer and Its Recurrence
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Acquisition
3.2 Data Pre-processing
3.3 Model Building and Analysis
4 Discussion
5 Conclusion
References
Exploring the Machine Learning Algorithms to Find the Best Features for Predicting the Risk of Cardiovascular Diseases
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Acquisition
3.2 Data Pre-processing
3.3 Analyzing ML Algorithms
4 Discussion
5 Conclusion
References
Searching Process Using Boyer Moore Algorithm in Digital Library
Abstract
1 Introduction
2 Related Work
3 Background Theory
3.1 Boyer Moore (BM) Algorithm
3.1.1 Bad-Symbol Shift
3.1.2 Good-Suffix Shift
3.1.3 Algorithm Steps
3.2 Horspool’s Algorithm
4 Discussion and Result
4.1 Searching Process with the BM Algorithm
4.2 Searching Process with the Horspool’s Algorithm
4.3 Comparison Between BM and Horspool Algorithms
5 Conclusion
Acknowledgments
References
Application of Machine Learning and Artificial Intelligence Technology
Gender Classification from Inertial Sensor-Based Gait Dataset
Abstract
1 Introduction
2 Related Work
3 Dataset Description
4 Methodology
4.1 Feature Extraction
4.2 Feature Selection
4.3 Classification of Gender
4.4 Model Training
5 Result and Discussion
6 Conclusion and Future Work
References
Lévy-Flight Intensified Current Search for Multimodal Function Minimization
Abstract
1 Introduction
2 ICuS and LFICuS Algorithms
2.1 ICuS Algorithm
2.2 Proposed LFICuS Algorithm
3 Benchmark Functions
4 Results and Discussions
5 Conclusions
References
Cancer Cell Segmentation Based on Unsupervised Clustering and Deep Learning
Abstract
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Preprocessing
3.2 Segmentation
3.3 Median Filtering
3.4 Classification
3.5 Trace and Detect Region
3.6 Area Calculation
4 Conclusions
References
Automated Student Attendance Monitoring System Using Face Recognition
Abstract
1 Introduction
2 Proposed Methodology
2.1 Hog Features Extraction
2.2 Facial Landmark Estimation
2.3 Face Encoding Using CNN
2.4 Face Recognition Using SVM
3 Result and Discussion
4 Conclusion and Future Scopes
References
Machine Learning Approach to Predict the Second-Life Capacity of Discarded EV Batteries for Microgrid Applications
Abstract
1 Introduction
2 Battery Data Collection
3 Input, Output, and Pre-processing of Data
3.1 Case 1
3.2 Case 2
4 Machine Learning Model and Activation Functions Used
5 System Configuration and Software Used
6 Result Analysis
6.1 Result Analysis for Case 1
6.2 Result Analysis for Case 2
6.3 Comparative Analysis Between Case1 and Case 2
7 Conclusion
References
Classification of Cultural Heritage Mosque of Bangladesh Using CNN and Keras Model
Abstract
1 Introduction
2 Problem Statement
2.1 Image Classification
2.2 Deep Learning
2.3 Convolutional Neural Network and Its Characteristics
2.4 Hyperparameter Description and Optimization
2.5 Activation Function
3 Materials and Methods
3.1 Dataset
3.2 RStudio
3.3 Methodology
3.4 Keras Sequential Model with CNN
4 Result and Discussion
4.1 Result
4.2 Discussion
5 Advantages and Limitations
6 Conclusion
7 Future Scope
References
Classification of Orthopedic Patients Using Supervised Machine Learning Techniques
Abstract
1 Introduction
2 Background
3 Literature Review
4 Methodology
4.1 Learning Technique
4.2 Machine Learning Algorithms
4.3 Evaluation Metrics
4.4 Dataset
5 Results
6 Conclusion
References
Long Short-Term Memory Networks for Driver Drowsiness and Stress Prediction
Abstract
1 Introduction
1.1 Literature Review
1.2 Motivation and Contributions
2 Proposed LSTM Network for Driver Drowsiness and Stress Prediction
2.1 Driver Drowsiness and Stress Databases
2.2 Data Pre-processing and ECG Beat Segmentation
2.3 LSTM Network Based Driver Drowsiness and Stress Prediction
3 Analysis and Results
3.1 Performance Evaluation Under Varying Times of Advance Prediction
3.2 Performance Comparison Between Proposed Work and Existing Works
3.3 Future Research Directions
4 Conclusion
Acknowledgments
References
Optimal Generation Mix of Hybrid Renewable Energy System Employing Hybrid Optimization Algorithm
1 Introduction
1.1 Background
2 Methodology
2.1 System Model of HRES
2.2 Formulation of the Optimization Problem
3 The Hybrid Algorithm
4 Result and Discussion
4.1 Descriptive Analysis of the Algorithms
4.2 Normality Tests of the Algorithms
4.3 Optimum Configuration of the HRES
5 Conclusion and Future Work
References
Activity Identification from Natural Images Using Deep CNN
Abstract
1 Introduction
2 Literature Review
3 Methods and Proposed Methodologies
3.1 Dataset
3.2 Preprocessing
3.3 Convolutional Neural Network
3.4 Model 1 (One Layer CNN)
3.5 Model 2 (Proposed One Layer CNN)
3.6 Model 3 (Traditional 4 Layer CNN)
3.7 Model 4 (Proposed 4 Layer CNN)
4 Experimental Results
5 Conclusion
References
Learning Success Prediction Model for Early Age Children Using Educational Games and Advanced Data Analytics
Abstract
1 Introduction
2 Research Preparation
3 Model Development
4 Conclusion
References
Advanced Analytics Techniques for Customer Activation and Retention in Online Retail
Abstract
1 Introduction
2 Customer Segmentation and Analytics
2.1 Customer Lifetime Value (Scoring)
3 Research
3.1 Parameters Selection
3.2 Churn Prevention Process and Customer Reactivation Process
3.3 Forecasting Scenarios
4 Results
5 Conclusion
References
An Approach for Detecting Pneumonia from Chest X-Ray Image Using Convolution Neural Network
Abstract
1 Introduction
2 Related Work
3 Proposed Methods
3.1 Dataset
3.2 Proposed Model
4 Experimental Result
5 Conclusion and Future Work
References
An Analytical Study of Influencing Factors on Consumers' Behaviors in Facebook Using ANN and RF
1 Introduction
2 Related Works
3 Methodology
3.1 Sample Collection and Dataset
3.2 Random Forest Algorithm
3.3 Artificial Neural Network
4 Experiment with Models
5 Results and Observation
6 Future Research Directions and Conclusion
References
Autism Spectrum Disorder Prognosis Using Machine Learning Algorithms: A Comparative Study
1 Introduction
2 Literature Review
3 Proposed Framework
3.1 Dataset Overview
3.2 Data Pre-processing
3.3 Data Analysis
3.4 Prediction Model Development
3.5 Evaluating the Prediction Model
4 Model Progression
4.1 Prediction Model Based on DNN
4.2 Prediction Model Based on SVM
4.3 Pediction Model Based on KNN
5 Evaluating the Performance and Result
6 Conclusion
References
Multidimensional Failure Analysis Based on Data Fusion from Various Sources Using TextMining Techniques
Abstract
1 Introduction
2 Description of Problems
3 Methodology
3.1 Data Preparation
3.2 Lemmatization
3.3 Feedback Loop
3.4 Categorization
3.5 Grouping
4 Conclusion
References
Road Quality Classification Adaptive to Vehicle Speed Based on Driving Data from Heavy Duty Mining Vehicles
Abstract
1 Introduction
2 Input Data
3 Algorithm Assumptions
4 Methodology
4.1 Data Pre-processing
4.2 Idle Detection
4.3 Data Preparation for Classification
4.4 Road Quality Classifier Creation
4.5 Road Quality Classification
5 Experimental Results
6 Summary
Acknowledgements
References
Fabric Defect Detection System
Abstract
1 Introduction
2 Defects in Fabric
3 Proposed Methodology for Defect Detection
3.1 Image Segmentation
3.2 Feature Extraction
3.3 PCA (Principal Component Analysis)
3.4 Image Classification
4 Application of the System and Analysis
4.1 Proposed Methodology
5 Conclusion and Future Work
References
Alzheimer’s Disease Detection Using CNN Based on Effective Dimensionality Reduction Approach
Abstract
1 Introduction
2 Dataset
3 Proposed Methodology
3.1 Preprocessing
3.2 Feature Reduction
3.3 Classification
3.4 Performance Evaluation
4 Experimental Result
5 Conclusions and Future Scope
References
An Analytical Intelligence Model to Discontinue Products in a Transnational Company
Abstract
1 Introduction
2 Materials and Methods
3 Results
4 Conclusions
References
Graph Neural Networks in Cheminformatics
Abstract
1 Introduction
2 Cheminformatics in Drug Discovery
2.1 Fundamental Concepts in Cheminformatics
2.2 Machine Learning Approaches in Cheminformatics
3 Graph Neural Networks
3.1 Basic Concepts of Graphs
3.2 Vanilla Graph Neural Networks
3.3 Graph Convolutional Neural Networks
3.4 Graph Recurrent Neural Networks
3.5 Graph Autoencoders
4 Graph Neural Networks Applications in Cheminformatics
5 Discussion
6 Conclusion
Acknowledgement
References
Academic and Uncertainty Attributes in Predicting Student Performance
Abstract
1 Introduction
2 Related Works
3 Methodology
3.1 Student Attributes
3.2 Academic Attributes
3.3 Uncertainty Attributes
3.4 Dataset
3.5 Prediction Model
3.6 Dispositional Learning Analytics
3.7 Long Short-Term Memory and Bidirectional (LSTM)
3.8 Bidirectional Long Short Term Memory Networks (BLSTM)
3.9 Proposed Application
4 Implementation
5 Conclusion
Acknowledgment
References
Captivating Profitable Applications of Artificial Intelligence in Agriculture Management
Abstract
1 Introduction
2 How AI Works in Agriculture
3 Artificial Intelligence in Agriculture
4 Applications of Artificial Intelligence in Agriculture
4.1 Automated Irrigation System (Smart Irrigation)
4.2 Drones for Spraying
4.3 Remote Sensing-Based Crop Health Monitoring
4.4 Autonomous Early Warning System for Fruit-Fly
4.5 Driverless Tractor
4.6 Face Recognition System for Domestic Cattle
4.7 AI Paired IoT Device
4.8 Chabots
4.9 Stethoscope
4.10 Intello Labs
4.11 AI-Based Precision Agriculture
4.12 Crop Phenotyping and Analysis
4.13 Remote Sensing-Based Water Resources Mapping
4.14 AI Technology in Aquaculture
4.15 AI in Food Engineering and Cold Chain Logistics
4.16 Big Data and Cloud Computing
4.17 Automatic Navigation and Self-driving Technology
4.18 Other Applications of AI in Agriculture
5 Future of AI in Agriculture
6 Conclusion
References
Holistic IoT, Deep Learning and Information Technology
Mosquito Classification Using Convolutional Neural Network with Data Augmentation
Abstract
1 Introduction
2 Related Work
3 Methodology
4 Dataset and Data Augmentation
4.1 Data Acquisition
4.2 Characteristics of Aedes, Anopheles and Culex
4.3 Data Augmentation
5 Implementation Process
6 Result and Discussion
7 Conclusion and Future Works
References
Recommendation System for E-commerce Using Alternating Least Squares (ALS) on Apache Spark
Abstract
1 Introduction
2 Related Work
3 Alternating Least Squares (ALS)
4 Predictive Accuracy Metrics
5 System Prototype
6 System Architecture
7 Experimental Result and Discussion
8 Conclusion and Future Work
References
An Interactive Computer System with Gesture-Based Mouse and Keyboard
Abstract
1 Introduction
2 Literature Review
2.1 Virtual Keyboard
2.2 Virtual Mouse
3 Methodology
3.1 Problem Description
3.2 Virtual Keyboard
3.3 Virtual Mouse
4 Results and Discussions
4.1 Virtual Keyboard
4.2 Virtual Mouse
5 Conclusion and Future Work
References
Surface Water Quality Assessment and Determination of Drinking Water Quality Index by Adopting Multi Criteria Decision Analysis Techniques
Abstract
1 Introduction
1.1 Motivation
1.2 Objectives of the Study
2 Study Area
3 Methodology
4 Result and Discussion
5 Sensitivity Analysis of MCDA Based WAWQI
6 Conclusion
References
An Approach for Multi-human Pose Recognition and Classification Using Multiclass SVM
Abstract
1 Introduction
2 Related Work
3 Model
3.1 Steps
3.2 Proposed Method
4 Discussion
5 Conclusion and Future Work
References
Privacy Violation Issues in Re-publication of Modification Datasets
Abstract
1 Introduction
2 Computer Security Versus Privacy Preservation
3 Anonymization Model
3.1 l-Diversity [2]
4 Privacy Violation Scenarios in Re-publication of Modification Datasets
4.1 Privacy Violation Issues in Released Datasets Based on the Difference of Quasi-Identifier Values
4.2 Privacy Violation Issues in Released Datasets Based on the Difference Sensitive Values
5 Proposed Privacy Preservation Model
5.1 {{\varvec \upbeta}}-Diversity
5.2 Data Utility
5.3 Proposed Algorithm
6 Experiment
6.1 Experiment Setup
6.2 Experimental Results and Discussion
6.2.1 Effectiveness
6.2.2 Efficiency
7 Conclusion
References
Using Non-straight Line Updates in Shuffled Frog Leaping Algorithm
Abstract
1 Introduction
2 Materials and Methods
2.1 Shuffled Frog Leaping Algorithm (SFLA)
3 The Drunken SFLA
3.1 The Improved Drunken SFLA
3.2 The Drift Angle (\theta ) is the First Parameter of the Proposed Method
3.3 The Standard Deviation (\sigma ) as the Second Parameter
4 Results and Discussion
4.1 The Drift Angle (\theta ) During 0 to 90
4.2 The Standard Deviation (\sigma ) During 0.1 to 0.9
4.3 The Setting of Experimental Parameters.
4.4 The Testing Function
5 Experiment Method and Results
6 Conclusion
References
Efficient Advertisement Slogan Detection and Classification Using a Hierarchical BERT and BiLSTM-BERT Ensemble Model
1 Introduction
2 Literature Review
3 Slogan Detection and Context Classification Method
3.1 Data Collection and Preprocessing
3.2 Slogan Detection
3.3 Slogan Feature Analysis for Context Classification
3.4 Context Classification
4 Experiment and Result Analysis
4.1 Dataset and Evaluation Metrics
4.2 Hyper Parameters Setting
4.3 Result Analysis
5 Conclusion
References
Chronic Kidney Disease (CKD) Prediction Using Data Mining Techniques
Abstract
1 Introduction
2 Literature Review
3 Methodology
3.1 Chronic Kidney Disease (CKD)
3.2 The Source of the CKD Dataset
3.3 Matrix and Research Hypothesis
3.4 Screenshots of the Dataset
4 Results and Discussion
5 Conclusion and Future Work
References
Multi-classification of Brain Tumor Images Based on Hybrid Feature Extraction Method
Abstract
1 Introduction
2 Proposed Approach for Multi-class Tumor Classification
2.1 Brain Tumor Dataset
2.2 Image Preprocessing Based on Min-Max Normalization
2.3 SWT and GLCM Based Feature Extraction
2.3.1 Stationary Wavelet Transform
2.3.2 Gray Level Co-occurrence Matrix
2.4 Image Classification Using ANN
3 Results Analysis
4 Conclusion
References
An Evolutionary Population Census Application Through Mobile Crowdsourcing
Abstract
1 Introduction
2 Terminologies Related to MCS
3 Methodology
3.1 Proposed System
3.2 Census Procedure
3.3 Database Design
4 Implementation Details
4.1 Implementation of Application Front-End
4.1.1 Phone Verification Module
4.1.2 Registration Module
4.1.3 Login Module
4.1.4 Dashboard and User Location Module
4.1.5 Information Collection and Uploading Module
4.1.6 User Information Checking Module
4.1.7 Region Information Checking Module
5 Experimental Result and Analysis
5.1 Information and Calculation
5.1.1 Calculation Process
5.2 Survey Chart
6 Conclusion
6.1 Future Recommendations
References
IoT-Enabled Lifelogging Architecture Model to Leverage Healthcare Systems
1 Introduction
2 Background and Present State of the System
3 System Description
3.1 System Architecture
3.2 Logic Diagram
3.3 Communication Between Server and Client
3.4 Set up the Value of the Sensors
4 System Implementation
4.1 Hardware Implementation
4.2 Steps of Implementation:
5 Experimental Results and Evaluation
6 Conclusion
References
An Improved Boolean Load Matrix-Based Frequent Pattern Mining
Abstract
1 Introduction
2 Related Work
3 Proposed Algorithm
4 Discussion of the Improved Algorithm Operation Process
5 Performance Evaluation and Complexity Analysis
6 Conclusion
References
Exploring CTC Based End-To-End Techniques for Myanmar Speech Recognition
Abstract
1 Introduction
2 Related Work
3 End-To-End CTC Model
3.1 Deep Convolutional LSTM Network
3.2 Connectionist Temporal Classification (CTC)
4 Experimental Setup
4.1 Description for Myanmar Speech Corpus
4.2 Training Setup
5 Experimental Results
5.1 Effect of Using Different Label Encoding Methods
5.2 Effect of Using Convolutional Layers
5.3 Effect of Using Different Numbers of BLSTM Layers
6 Conclusion
Acknowledgments
References
IoT Based Bidirectional Speed Control and Monitoring of Single Phase Induction Motors
Abstract
1 Introduction
2 Proposed System Design
3 Implementation of the Proposed System
3.1 Speed Control Scheme for Induction Motor
3.2 ON/OFF and Bidirectional Rotation Control
3.3 Speed Measurement and Motor Status Monitoring
3.4 IoT Based Communication Platform
4 Result and Discussion
5 Conclusion
References
Missing Image Data Reconstruction Based on Least-Squares Approach with Randomized SVD
Abstract
1 Introduction
2 Background Knowledge
2.1 Singular Value Decomposition
2.2 Randomized Singular Value Decomposition
3 Missing Image Data Reconstruction Approach
4 Numerical Experiments
5 Conclusions
Acknowledgments
References
An Automated Candidate Selection System Using Bangla Language Processing
1 Introduction
2 Related Work
3 Methodology
3.1 Data Preparation Module
3.2 Score Generation Module
4 Implementation and Experimental Results
4.1 Experimental Setup
4.2 Implementation and Performance Evaluation
5 Conclusion
References
AutoMove: An End-to-End Deep Learning System for Self-driving Vehicles
Abstract
1 Introduction
1.1 Background of the Work
2 Literature Review
2.1 Image Recognition
2.1.1 Traffic Sign Recognition
2.2 Deep Learning Neural Network
2.2.1 Convolutional Neural Network (CNN)
2.3 Object Detection
2.3.1 Faster R-CNN
2.3.2 YOLO
3 Methodology
3.1 System Architecture
4 Implementation
4.1 Lane Detection
4.2 Speed Detection
4.3 Road Angle Detection
4.4 Dataset
4.5 Autonomous Navigation
5 Conclusion
Acknowledgement
References
An Efficient Machine Learning-Based Decision-Level Fusion Model to Predict Cardiovascular Disease
1 Introduction
2 Related Study
3 Proposed Solution
3.1 UCI Heart Diseases Dataset
3.2 Data Pre-processing
3.3 Feature Scaling
3.4 Feature Selection
3.5 Training Phase
3.6 Decision Level Fusion
3.7 Evaluation Metrics
4 Performance Evaluation
5 Performance Comparison with Previous Work
6 Conclusion
References
Towards POS Tagging Methods for Bengali Language: A Comparative Analysis
1 Introduction
2 Related Work
3 Methodology
3.1 Tagged Corpus
3.2 Tokenization
3.3 Train/Test Corpus Creation
3.4 POS Tagging Model Generation
3.5 Predicted Tagged Sentence Generation
4 Evaluation Results and Analysis
5 Conclusion
References
BEmoD: Development of Bengali Emotion Dataset for Classifying Expressions of Emotion in Texts
1 Introduction
2 Related Work
3 Properties of Emotion Expressions in Bengali
4 Dataset Development Processes
4.1 Data Crawling
4.2 Preprocessing
4.3 Data Annotation
4.4 Label Verification
5 Analysis of BEmoD
6 Evaluation of BEmoD
6.1 Comparison with Existing Bengali Emotion Datasets
7 Conclusion
References
Advances in Engineering and Technology
Study of the Distribution Uniformity Coefficient of Microwave Field of 6 Sources in the Area of Microwave-Convective Impact
Abstract
1 Introduction
2 Main Part
2.1 Research Method
2.2 Modelling
2.3 Experimental Research
2.4 Results and Discussion
3 Conclusions
References
Floor-Mounted Heating of Piglets with the Use of Thermoelectricity
Abstract
1 Introduction
2 Materials and Methods
3 Results and Discussion
4 Conclusions
References
The Rationale for Using Improved Flame Cultivator for Weed Control
Abstract
1 Introduction
2 Main Part
3 Conclusion
References
The Lighting Plan: From a Sector-Specific Urbanistic Instrument to an Opportunity of Enhancement of the Urban Space for Improving Quality of Life
Abstract
1 Introduction
2 The Lighting Plan
3 Proposal for an Experimental Methodological Analysis
4 Two Case Studies in Comparison: Florence and Brussels
5 Results of the Research and Future Visions
References
PID Controller Design for BLDC Motor Speed Control System by Lévy-Flight Intensified Current Search
Abstract
1 Introduction
2 BLDC Motor Control Loop
2.1 BLDC Motor Model
2.2 PID Controller
3 Problem Formulation
4 Results and Discussions
5 Conclusions
References
Intellectualized Control System of Technological Processes of an Experimental Biogas Plant with Improved System for Preliminary Preparation of Initial Waste
Abstract
1 Introduction
2 Background
3 Results of Investigations
4 Conclusion
5 Acknowledgment
References
Way for Intensifying the Process of Anaerobic Bioconversion by Preliminary Hydrolysis and Increasing Solid Retention Time
Abstract
1 Introduction
2 Background
3 Results of Investigations
4 Conclusion
Acknowledgment
References
Evaluation of Technical Damage Caused by Failures of Electric Motors
Abstract
1 Introduction
2 Technical Demages
3 Results and Discussion
4 Conclusions
References
Development of a Prototype Dry Heat Sterilizer for Pharmaceuticals Industry
Abstract
1 Introduction
2 Proposed DHS System
3 Implementation of DHS
4 Performance Analysis of Implemented DHS
4.1 Alarm Check of the DHS
5 Conclusion
6 Recommendation for Future Work
References
Optimization of Parameters of Pre-sowing Seed Treatment in Magnetic Field
Abstract
1 Introduction
2 Background
3 Results of the Research
4 Conclusion
References
Development of a Fast Response Combustion Performance Monitoring, Prediction, and Optimization Tool for Power Plants
Abstract
1 Introduction
2 Methodology
2.1 Overview of the Proposed Application Architecture
2.2 Computational Fluid Modelling (CFD) Setup
2.3 Reduced Order Modelling (ROM)
2.4 Machine Learning
3 Results and Discussion
3.1 CFD ROM Capabilities
3.2 Machine Learning Capabilities
4 Conclusion
References
Industry 4.0 Approaches for Supply Chains Facing COVID-19: A Brief Literature Review
Abstract
1 Introduction
2 Current Enabling Technologies
3 Supply Chain Characteristics
3.1 Humanitarian Supply Chains
3.2 Commercial Supply Chains
4 Solution Characteristics
4.1 Supply Chain Agility and Resilience
4.2 Supply Chain Productivity
5 Direct Supply Chain Impacts & Research Strategies
5.1 Vaccine Development and Distribution
5.2 Personal Protective Equipment (PPE)
6 Conclusion
References
Ontological Aspects of Developing Robust Control Systems for Technological Objects
Abstract
1 Introduction
2 Design of the Ontological System
2.1 Concept of an Ontological System
2.2 Engineering Features
2.3 Model of the Ontological System
3 Results and Discussion
4 Conclusion
References
A New Initial Basis for Solving the Blending Problem Without Using Artificial Variables
Abstract
1 Introduction
2 Blending Problem
3 The Proposed Method
4 An Illustrative Example
5 Conclusion
Acknowledgment
References
Review of the Information that is Previously Needed to Include Traceability in a Global Supply Chain
Abstract
1 Introduction
2 Background
3 Methodology
3.1 Identification of Variables and Critical Points
3.2 Supply Chain Modeling
3.3 Technology for Traceability
4 Conclusions
References
Online Technology: Effective Contributor to Academic Writing
Abstract
1 Introduction
2 Literature Review
3 Theoretical Motivation
4 Methodology and Research Plan
4.1 Present Study
4.2 Mini Experiment
4.3 Techniques and Tools of Variables Selection, and Data Collection
5 Results and Discussion
5.1 Descriptive Statistics of the Variables in the Model
5.2 Results of Models
5.3 Result of the Correlation Matrix
6 Conclusion and Policy Implications
Acknowledgments
References
A Secured Electronic Voting System Using Blockchain
1 Introduction
2 Related Works
3 Methodology
3.1 Blockchain Structure
3.2 Voter Verification and Authentication
3.3 Blockchain Transactions
3.4 Hashing the Blocks
3.5 Proposed Mechanism for Consensus
3.6 Conflicts in the Network
4 Implementation and Experiment
4.1 Comparative Analysis of Using Proposed Mechanism
5 Conclusion
References
Preconditions for Optimizing Primary Milk Processing
Abstract
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusions
References
Optimization of Compost Production Technology
Abstract
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusions
References
Author Index