Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London, Volume 2
- Length: 1059 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2021-09-17
- ISBN-10: 9811623791
- ISBN-13: 9789811623790
- Sales Rank: #0 (See Top 100 Books)
This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and Communication Technology, held at Brunel University, London, on February 25–26, 2021. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The book is presented in four volumes.
Preface Contents Editors and Contributors Highly Efficient Stochastic Approaches for Computation of Multiple Integrals for European Options 1 Introduction 2 Problem Settings and Motivation 3 Highly Efficient Stochastic Approaches Based on Lattice Rules 4 Numerical Examples and Results 5 Conclusion References Spectrum Sensing Data Falsification Attack Reputation and Q-Out-of-M Rule Security Scheme 1 Introduction 2 Related Work 3 Network Model 4 Results and Analysis 5 Conclusion References Lean Manufacturing Tools for Industrial Process: A Literature Review 1 Introduction 2 Research Methodology 3 Literature Review 3.1 Lean Manufacturing 3.2 The Lean Manufacturing Implementation Route 3.3 Discussion and Analysis of Results 4 Conclusions References Lambda Computatrix (LC)—Towards a Computational Enhanced Understanding of Production and Management 1 Introduction 1.1 How Artificial Intelligence (AI) Can Support and Regain Human Society Values 1.2 Production and Management 1.3 Theorem Proving (TP) 1.4 Content and Organization of This Paper 1.5 Goal 2 Lambda Computatrix (LC) 3 Simulation in Production and Management Methods 4 Theorem Proving (TP) 4.1 AI-Legal 4.2 Logistics 5 TP in Production and Management, Summary, Conclusions and Outlook References Behavioral Analysis of Wireless Channel Under Small-Scale Fading 1 Introduction 2 Small-Scale Fading Causing Factors 3 Wireless Channel Model 4 Results and Discussions 5 Conclusion References Towards a Framework to Address Enterprise Resource Planning (ERP) Challenges 1 Introduction 2 Research Question (RQs) 3 Methodology 4 Review of IS/ERP Frameworks 5 Evaluating Emphases and Challenges in the ERP Frameworks 5.1 Linking ERPs with IS Success Models 5.2 Summary of ERP Challenges 5.3 Discussion and Analysis 6 The Proposed Framework 7 Reasons for Incorporating Formal Methods (FMs) in the Proposed ERP Framework 8 Conclusion References Potentials of Digital Business Models in the Construction Industry—Empirical Results from German Experts 1 Introduction 2 Digitization in the Construction Industry 3 Background and Research Design 4 Methodology 5 Results 6 Conclusion References An Alternative Auction System to Generalized Second-Price for Real-Time Bidding Optimized Using Genetic Algorithms 1 Introduction 2 Our Novel Advertising Exchange System 2.1 Advertising Exchange System 2.2 Development of the Advertisement Exchange System 3 Calculating the Optimal Value of the Weights Using a Genetic Algorithm 3.1 Representation and Initial Population 3.2 Handling Constraints 3.3 Fitness Function 3.4 Genetic Algorithm Parameter Configuration 3.5 Justification for the Chosen Values of the Coefficients, Penalties and Rules 4 Experiments and Results 4.1 Preparation of the Experiments 4.2 Experiment I 4.3 Experiment II 5 Conclusions and Future Work References Low-Cost Fuzzy Control for Poultry Heating Systems 1 Introduction 2 Case Study 3 Solution Proposal 3.1 Fuzzy Inference Based on Linear Programming 3.2 LAMP Server 4 Results 5 Conclusions References Towards Empowering Business Process Redesign with Sentiment Analysis 1 Introduction 2 Related Work 2.1 Business Process Redesign 2.2 Business Process Modeling 2.3 BPMN 2.4 Data Mining, Sentiment Analysis, and Opinion Mining in Business Processes 3 BPM Lifecycle and SentiProMo Tool 3.1 Using Sentiment Analysis in BPR 4 Sentiment Analysis Module (SAM) 4.1 Evaluation 5 Preliminary Results 6 Conclusion and Outlook References An Integration of UTAUT and Task-Technology Fit Frameworks for Assessing the Acceptance of Clinical Decision Support Systems in the Context of a Developing Country 1 Introduction 1.1 Unified Theory of Acceptance and Use of Technology (UTAUT) 1.2 Task-Technology Fit (TTF) 2 Background 2.1 Theoretical Conceptual Framework 3 Methodology 3.1 Stage One: Initiated Requirement Generation of the Framework 3.2 Stage Two: Discovering the Factors of the Framework Through Perspectives 3.3 Stage Three: Validation of a New Proposed Framework 4 Data Analysis 5 Modified Proposed Framework 6 Discussion and Conclusion References Research Trends in the Implementation of eModeration Systems: A Systematic Literature Review 1 Introduction 2 Systematic Literature Review 3 Results and Findings 4 Conclusion References From E-Government to Digital Transformation: Leadership 1 Introduction 2 Background 2.1 Digital Transformation (DT) 2.2 Digital Maturity 2.3 Leadership 3 Methodology 4 Results 5 Conclusions References Application of Machine Learning Methods on IoT Parking Sensors’ Data 1 Introduction 2 Related Work 3 Data of Parking Sensors 4 Application of Machine Learning and Results 4.1 Normalization of Parking Sensor Data 4.2 XGBoost 4.3 Neural Networks Models 4.4 Using Clustering to Improve Results 5 Conclusion References A Fast Algorithm for Image Deconvolution Based on a Rank Constrained Inverse Matrix Approximation Problem 1 Introduction 2 RCIMA Method 3 Fast Algorithm to Compute Pseudoinverse and Low-Rank Approximation 3.1 Pseudoinverse and Tensor Product Matrix 3.2 Low-Rank Approximation and Bilateral Random Projection 4 Fast-RCIMA Method 5 Numerical Simulation 5.1 Speedup and Percent Difference 5.2 Numerical Example for Image Deconvolution 6 Conclusions References On-Body Microstrip Patch Antenna for Breast Cancer Detection 1 Introduction 2 Structure and Design Method 2.1 Design of Antenna 2.2 Equations Employed in Design of Propounded Antenna 2.3 Human Breast Phantom Model and Tissue Properties 3 Antenna Characteristics Without Cancerous Tumor 3.1 Reflection Coefficient or S11 Parameter 3.2 Far-Field Radiation Pattern 3.3 VSWR—Voltage Standing Wave Ratio 3.4 SAR—Specific Absorption Rate 4 Antenna Characteristics with Cancerous Tumor 4.1 Reflection Coefficient or S11 Parameter 4.2 Other Characteristics 5 Conclusion References Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru 1 Introduction 1.1 Context for the Research Study 2 Literature Review 2.1 Machine Learning 2.2 Regression Learner App 3 Materials y Methods 3.1 Methodology 4 Results 4.1 Results of Machine Learning Models in Predicting the Electric Field 4.2 Description of Solar Radiation with the Electric Field 4.3 Description of the UV Level with the Electric Field 5 Conclusions References Enhanced Honeyword Generation Method Using Advanced DNA Algorithm 1 Introduction 2 Literature Review 3 Background Theory 3.1 Enhanced Honeyword Generation 3.2 Enhanced DNA Algorithm 4 Flowchart of the Proposed System 5 Testing Results 6 Comparative Study 6.1 Time Complexity 6.2 Flatness 6.3 Typo Safety 6.4 Storage Overhead 7 Conclusion References A Review: How Does ICT Affect the Health and Well-Being of Teenagers in Developing Countries 1 Introduction 2 Methodology 2.1 Search Strategy 2.2 Inclusion and Exclusion Criteria 3 Results and Discussions 3.1 Adoption of ICT 3.2 Gender Gaps 3.3 Mobile Health 3.4 Detrimental Impacts of ICT 4 Conclusion and Future Works References Multi-image Crowd Counting Using Multi-column Convolutional Neural Network 1 Introduction 2 Methods 2.1 Pre-processing: Region of Interest (ROI) Selection 2.2 Pre-processing: Perspective Normalization 2.3 Feature Extraction: Multi-column Convolutional Neural Network (MCCNN) 2.4 Crowd Counting Using Modified MCNN 3 Experimental Setup 3.1 Dataset, Network Training, and Performance Criteria 4 Results 5 Conclusion References Which Features Are Helpful? The Antecedents of User Satisfaction and Net Benefits of a Learning Management System (LMS) 1 Introduction 2 Methodology 3 Results and Discussion 4 Limitations and Recommendations References Performance Analysis of a Neuro-Fuzzy Algorithm in Human-Centered and Non-invasive BCI 1 Introduction 2 Theories Involved 2.1 Butterworth Band-Pass Filters 2.2 Adaptive Neuro-Fuzzy Inference System (ANFIS) 3 Materials and Methods 3.1 Generation of EEG Raw Signals 3.2 Retrieving and Transferring of Generated EEG Data 3.3 Pre-processing of Data and Feeding to Algorithm 4 Results and Discussion 4.1 Simulation Results for First EEG Dataset 4.2 Simulation Results for Second EEG Dataset 5 Conclusion and Recommendation References A Workflow-Based Support for the Automatic Creation and Selection of Energy-Efficient Task-Schedules on DVFS Processors 1 Introduction 2 Energy-Efficient Task Scheduling 2.1 Scheduling Problem for Independent Tasks 2.2 Bucket-Based Scheduling and Execution 2.3 Frequency Scaling for Energy Efficiency 3 Schedule Creation and Evaluation Framework 3.1 Workflow to Determine a Schedule 3.2 Framework Implementation 4 Experimental Evaluation 4.1 Definition of Set of Tasks and Baseline Data Collection 4.2 T- and E-Schedule Creation 5 Related Work 6 Conclusion References Artificial Intelligence Edge Applications in 5G Networks 1 Introduction 2 Materials and Methods 2.1 Goals 2.2 Environment 2.3 Measurements 2.4 Methodology 3 Results 4 Conclusions References A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations 1 Introduction 2 Background 2.1 Chatbots 2.2 Robotic Process Automation 2.3 Big Data 3 The Proposed Approach 4 Concluding Remarks References Fuzzy Reinforcement Learning Multi-agent System for Comfort and Energy Management in Buildings 1 Introduction 2 Reinforcement Learning 2.1 Fuzzy Q-Learning 2.2 Multi-agent System (MAS) and Q-Learning 3 Building Modelling and Description 4 Multi-agent System (MAS) 5 Simulation Results 6 Conclusion References Discrete Markov Model Application for Decision-Making in Stock Investments 1 Introduction 2 Discrete Markov Model Definition 2.1 System State Definition 2.2 Dataset Labeling 2.3 Transition Matrices Definition 3 Model Efficiency Testing 4 Conclusion References Howling Noise Cancellation in Time–Frequency Domain by Deep Neural Networks 1 Introduction 2 Theoretical Analysis 2.1 System Model 2.2 Adaptive Filtering 3 Howling Noise Cancellation by DNN 3.1 Feature of Complex Coefficients 3.2 DNN Network 4 Experimental Results and Discussions 4.1 Dataset 4.2 Evaluation Method 4.3 Results and Discussions 5 Conclusions References Daily Trajectory Prediction Using Temporal Frequent Pattern Tree 1 Introduction 2 Related Work 3 Methods 3.1 Temporal Frequent Pattern Tree (TFT) 3.2 Route Prediction Modeling 4 Experimental Evaluation 4.1 Impact of the Number of Historical Routes 4.2 Outlier Removal 4.3 Global Predictor 4.4 The Role of Variable Movement Patterns in Prediction Performance 5 Conclusion References Quick and Dirty Prototyping and Testing for UX Design of Future Robo-Taxi 1 Background 2 Research Methods 2.1 Our Process 2.2 First Iteration 2.3 Second Iteration 2.4 Co-creation Workshop 3 Results 3.1 First Iteration 3.2 Second Iteration 3.3 First User Scenarios 3.4 Co-creation Workshop 4 Conclusion References Iterative Generation of Chow Parameters Using Nearest Neighbor Relations in Threshold Network 1 Introduction 2 Nearest Neighbor Relations in Threshold Function 2.1 Discrimination Using Nearest Neighbor Relations 2.2 Boolean Operations for the NNRs 3 Boundary Vertices for Generation of Chow Parameters 3.1 Characterization of Boundary Vertices 3.2 Boundary Vertices in the NNRs 4 Iterative Generation of the Chow Parameters 5 Conclusion References Effective Feature Selection Using Ensemble Techniques and Genetic Algorithm 1 Introduction 2 Literature Review 3 Proposed Ensemble Bootstrap Genetic Algorithm (EnBGA) 3.1 Data Preprocessing 3.2 Feature Creation 3.3 Feature Selection 4 Experimental Discussion 5 Conclusion References A Generalization of Secure Comparison Protocol with Encrypted Output and Its Efficiency Estimation 1 Introduction 2 Mathematical Preliminaries 3 Proposed Protocol 3.1 Efficiency Estimation 3.2 Security 4 Conclusion References Conceptualizing Factors that Influence Learners’ Intention to Adopt ICT for Learning in Rural Schools in Developing Countries 1 Introduction 2 Methodology 2.1 Identification of the Research Articles 2.2 Classification and Coding Framework 3 Analysis and Discussion of Findings 3.1 Context of Research 3.2 Focus of the Research 3.3 Research Methods 3.4 Theories Adopted 3.5 Factors that Affect the Adoption of ICT Technologies by Learners 4 Conclusion References The Innovation Strategy for Citrus Crop Prediction Using Rough Set Theory 1 Introduction 2 Materials and Methods 2.1 Trend of World Citrus Production 2.2 Digital Transformation and Predictive Analysis in Agri-Food Chain 2.3 Methodology—The Rough Sets Theory 3 Results and Discussion 4 Conclusion References Predicting Traffic Path Recommendation Using Spatiotemporal Graph Convolutional Neural Network 1 Introduction 2 Related Work 3 Representing Road Traffic Network Features Using Graphs 4 Model for Vehicular Path 4.1 Problem Definition 4.2 Link Prediction Model 4.3 Methodology 5 Experiment and Results 5.1 Data Set: Monthly Strategic Road Network (SRN) 5.2 Experimental Settings 5.3 Evaluation Metrics and Baseline 5.4 Results 6 Conclusion References Machine Learning and Context-Based Approaches to Get Quality Improved Food Data 1 Introduction 2 State of the Art 2.1 Food Data Sources 2.2 ETL Process 2.3 Data Profiling 3 Machine Learning Approach for Quality Improvement 3.1 Ontologies for Information Retrieval 3.2 Similarity Analysis 4 Context-Based Response from the API 5 Results 6 Conclusion and Discussion References Components of a Digital Transformation Strategy: A South African Perspective 1 Introduction 2 Theoretical Background 2.1 Digital Transformation 2.2 Digital Transformation Strategy 3 Methodology 4 Analysis and Discussion of Findings 4.1 Components of a DTS 4.2 Summary 5 Conclusion References Evaluation of Face Detection and Recognition Methods in Smart Mirror Implementation 1 Introduction 2 System Design 3 Evaluation 3.1 Pearson Correlation Test of Presumed Related Variables 3.2 T-Test of Result of Haar Cascade and LBP Method Measurements 4 Conclusion References Comparative Analysis of Grid and Tree Topologies in Agriculture WSN with RPL Routing 1 Introduction 2 System Design 2.1 Simulator Design 2.2 Simulator Parameters 2.3 Performance Testing Scenario 3 Results and Analysis 3.1 Power Evaluation 3.2 Routing Metric and ETX Evaluation 3.3 Throughput Evaluation 3.4 Delay Evaluation 4 Conclusion References Designing a Monitoring and Prediction System of Water Quality Pollution Using Artificial Neural Networks for Freshwater Fish Cultivation in Reservoirs 1 Introduction 2 System Design 2.1 Water Quality 2.2 Workflow 2.3 Artificial Neural Network 3 Results and Analysis 4 Conclusion References Sentence-Level Automatic Speech Segmentation for Amharic 1 Introduction 2 Related Works 3 Amharic Language 3.1 The Amharic Consonants and Vowels 4 Corpus Preparation 5 Speech Segmentation System 5.1 Data Preparation 5.2 HMM Model Building 5.3 Forced Alignment 5.4 Speech Segmenter 5.5 Experimental Results 6 Conclusion and Further Work References Urban Change Detection from VHR Images via Deep-Features Exploitation 1 Introduction 2 Methods 2.1 Images Pre-processing 2.2 Deep-Features Extraction 2.3 Deep-Features Selection 3 Experimental Results 3.1 Data Set Description 3.2 Deep-Features Computation and Selection 3.3 Change Map Computation 3.4 Discussion 4 Conclusion References Region Awareness for Identifying and Extracting Text in the Natural Scene 1 Introduction 2 Related Work 3 Proposed Method 3.1 Text Detection 3.2 Text Recognition 4 Experimental Results 4.1 Text Detection 4.2 Text Detection and Recognition 5 Conclusion and Future Works References Analysis of Effectiveness of Selected Classifiers for Recognizing Psychological Patterns 1 Introduction 2 Data Set and Algorithms 3 Examination of Algorithms 3.1 Big Five Questionnaire 3.2 Depression Test Questionnaire 3.3 Loneliness Scale Questionnaire 3.4 Analysis of the Prediction Precision 3.5 Analysis of Prediction Speed and Training Time 3.6 Summing Up 4 Final Remarks References A Virtual Reality System for the Simulation of Neurodiversity 1 Introduction 1.1 Autism Spectrum Disorder 1.2 Virtual Reality for Neurodiversity Simulation 2 Neurodiversity Experience 2.1 Stimuli 2.2 Implementation 3 Discussion and Conclusions 3.1 Further Steps References An Algorithm Classifying Brain Signals in the Control Problem 1 Introduction 2 The Classification Algorithm 2.1 The Classification Algorithm in a System Working as BCI 2.2 Gower’s Algorithm in Classification Based on the Graph Theory 2.3 The Classifying Program—The User’s Interface 3 The Classification Function as the Main Function of the Control Algorithm 4 Summary References Fast Geometric Reconstruction Using Genetic Algorithms from Single or Multiple Images 1 Introduction 2 Related Works 3 Methodology 3.1 Problem Formulation 3.2 Genetic Algorithm’s Use and Impact 4 Our Technical Approach 4.1 Input Geometric Constraints 4.2 Optimization Step-Based GAs 4.3 Selection and Crossover Operators 5 Experimental Results 5.1 Population’s Optimization 5.2 Comparisons 6 Conclusion References Metagenomic Analysis: A Pathway Toward Efficiency Using High-Performance Computing 1 Introduction 2 Pipeline 2.1 Quality Control 2.2 Host Removal 2.3 Searching Through Reference Databases 2.4 Dynamic Programming 2.5 Accelerated Alternatives 3 Research 4 Conclusion References A Machine Learning Approach to CCPI-Based Inflation Prediction 1 Introduction 2 Methodology 2.1 Determinants of Inflation 2.2 Research Methodology Overview 2.3 Exploration of Existing Machine Learning Models 2.4 Model Design and Implementation 3 Evaluations and Discussion 4 Conclusion References On Profiling Space Reduction Efficiency in Vector Space Modeling-Based Natural Language Processing 1 Introduction 1.1 Space Reduction 1.2 Vector Space Modeling and Natural Language Processing 1.3 Related Work 1.4 Motivations and Scope of the Study 2 The Proposed Summarization Protocol 2.1 The Principal Component Analysis-Based Protocol of Text Summarization 2.2 The Isometric Mapping-Based Protocol of Text Summarization 3 Experimental Results 3.1 Dataset 3.2 Results 3.3 Discussion 4 Conclusion References Proposal of a Methodology for the Implementation of a Smart Campus 1 Introduction 2 Theoretical Foundation 2.1 Smart City 2.2 Smart City Methodologies 2.3 Smart Campus 2.4 Similarity Between Smart City and Smart Campus 2.5 Related Works 3 Methodology 3.1 Design of the Methodology 4 Evaluation of the Methodology for a Smart Campus 5 Conclusions References Emotion Cause Detection with a Hierarchical Network 1 Introduction 2 Related Work 3 The Approach 3.1 The Framework 3.2 Hierarchical Network 3.3 Features 4 Experiments 4.1 Settings 4.2 Experimental Results 5 Conclusion References Skills and Human Resource Management for Industry 4.0 of Small and Medium Enterprises 1 Introduction 2 Literature Review 2.1 Skills 2.2 Skills Gap 2.3 Human Resource Management 2.4 Related Studies 3 Methodology 3.1 Data Collection 3.2 Data Analysis 4 Research Results 4.1 Skills 4.2 Skills Gap 5 Conclusion References Fully Passive Unassisted Localization System Without Time Synchronization 1 Introduction 2 Unassisted Localization Systems 3 Related Work 4 Proposed Method 5 System Prototype Implementation 6 Experiment Results 7 Conclusions References Appropriation Intention of a Farm Management Information System Through Usability Evaluation with PLS-SEM Analysis 1 Introduction 2 Reference Framework 2.1 Farm Management Information Systems (FMIS) 2.2 FMIS Appropriation Intention Factors 2.3 Usability Evaluation in Information Systems 3 Methodology 3.1 itagüe® FMIS 3.2 User Profile 3.3 Usability Evaluation 3.4 PLS Data Analysis 4 Results and Discussion 4.1 Assessment of the Structural Model 4.2 Model Predictive Relevance 4.3 Discussion 5 Conclusions References Collaborative Control of Mobile Manipulator Robots Through the Hardware-in-the-Loop Technique 1 Introduction 2 System Structure 3 Virtual Environment 4 Mobile Manipulator Robots 4.1 Kinematic Model 4.2 Dynamic Model 5 Collaborative Control 5.1 Formation Controller 5.2 Control ith Robot 6 Experimental Results 7 Conclusions References Application ArcGIS on Modified-WQI Method to Evaluate Water Quality of the Euphrates River, Iraq, Using Physicochemical Parameters 1 Introduction 2 Methodology 2.1 Study Area 2.2 Assessment of Water Quality 2.3 Computing of Modified Water Quality Index 2.4 Prediction Maps 3 Results and Discussion 3.1 Physicochemical Concentrations for Parameters 3.2 Modified Water Quality Index (MWQI) 4 Conclusions References Information Retrieval and Analysis of Digital Conflictogenic Zones by Social Media Data 1 Introduction 1.1 Data 1.2 Method 2 Results and Discussion 3 Conclusion References Introducing a Test Framework for Quality of Service Mechanisms in the Context of Software-Defined Networking 1 Introduction 2 Related Literature 3 Framework 3.1 Testing Framework Architecture 3.2 Conceptual Framework 3.3 Theoretical Framework 4 Methodology 5 Results and Discussion 5.1 IFSTAT Results 5.2 Apache Bench Results 5.3 VLC Results 5.4 Round Trip Time Results 6 Conclusion References Building a Conceptual Model for the Acceptance of Drones in Saudi Arabia 1 Introduction 2 General Aspects 2.1 Structure of a Drone 2.2 Some Characteristics 2.3 Regulatory and Legal Aspects 3 Applications 4 Privacy and Security 4.1 Challenges 4.2 Solutions 5 Models of Technology Acceptance 6 Proposed Model 7 Conclusion References A Channel Allocation Algorithm for Cognitive Radio Users Based on Channel State Predictors 1 Introduction 2 CCAA Using Channel State Prediction 3 CR Performance with Using Channel State Prediction 4 Performance Evaluation of the CCAA 5 CR Performance in Spectrum Usage Improvement and in Sensing Energy Reduction 6 Conclusion References A Framework for Studying Coordinated Behaviour Applied to the 2019 Philippine Midterm Elections 1 Introduction 2 Finding Coordinated Behaviour in Social Media 3 Hybrid Approach Finding Coordinated Behaviour 3.1 Computational Extraction and Detection of Networks 3.2 Cleaning up the Data 3.3 Looking at the Data Again 4 Conclusions References COVID-19 X-ray Image Diagnosis Using Deep Convolutional Neural Networks 1 Introduction 1.1 Background 1.2 X-ray Image Classification 2 Deep Lung X-COVID 3 Experimental Design 3.1 Data Preparation 3.2 Experiment I: Classification with ResNet18 Trained from Scratch 3.3 Experiment II: Classification with ResNet18 and Transfer Learning 3.4 Experiment III: Classification with InceptionResNetV2 Trained from Scratch 3.5 Experiment IV: Classification with Expanded InceptionResNetV2 Models 4 Results 4.1 Analysis of Classification Results 4.2 Analysis of Distinguishing Features 5 Conclusion 5.1 Saliva Test for COVID-19 5.2 Radiation Magnitude Due to X-rays and CT-Scans References Jumping Particle Swarm Optimization 1 Introduction 2 Proposed Jumping Strategy 3 Evaluation Results 4 Conclusion References Reinforcement Learning for the Problem of Detecting Intrusion in a Computer System 1 Introduction 2 Related Works 3 Work Description 3.1 Datasets 3.2 Reinforcement Learning 4 Experimental Results 5 Conclusions References Grey Wolf Optimizer Algorithm for Suspension Insulator Designing 1 Introduction 2 Electric Field Distribution Computation 2.1 Geometry Modelling in Comsol-Multiphysics 2.2 Electric Field and Potential Distributions Results 3 The GWO Optimization Technique 4 Optimization Results 5 Conclusion References Green IT Practices in the Business Sector 1 Introduction 2 Literature Review 2.1 Theoretical Framework 3 Materials and Methods 3.1 Methodology 3.2 Hypothesis and Model 3.3 Instrument for Information Gathering 3.4 Procedure 4 Results 4.1 Validity and Reliability of the Measurement Model 4.2 Assessment of the Structural Model 5 Conclusions References Study of Official Government Website and Twitter Content Quality in Four Local Governments of Indonesia 1 Introduction 2 Literatur Review 2.1 The Use of Websites in e-Government 2.2 Measuring the Quality of a Website 2.3 Social Media on Government: Official Twitter 3 Method 4 Result 4.1 Website Quality and Official Twitter Content of City Government 5 Conclusion References Design and Implementation of an Industrial Multinetwork TCP/IP of a Distributed Control System with Virtual Processes Based on IOT 1 Introduction 2 Methodology 2.1 Protocol and Configuration 2.2 Structure of the Distributed Control System 2.3 Implementation of Virtual Processes 3 Communication Node-RED 4 Results 5 Conclusions References Cross-Textual Analysis of COVID-19 Tweets: On Themes and Trends Over Time 1 Introduction 2 Previous Work 3 Experiment Setup 3.1 Data 3.2 Topic Modeling Using Latent Dirichlet Allocation 3.3 Perplexity 4 Results and Discussion 4.1 Themes from COVID-19 Tweets 4.2 Change of Themes Through Time 5 Conclusion References A Novel Approach for Smart Contracts Using Blockchain 1 Introduction 2 Related Works 3 Contribution 4 Experimental Results 5 Discussion 6 Conclusion References Redundant Bus Systems Using Dual-Mode Radio 1 Introduction 2 Dual-Mode Radio 3 Experimental Setup 4 Results and Discussion 5 Conclusion References Practice of Tech Debt Assessment and Management with TETRA™ 1 What is Technical Debt in Software 2 How Technical Debt is Described and Managed 3 Methodology and Results Evaluation 4 Advantages of the Approach 5 Limitations of the Approach 6 Applying TETRA™ to e-Learning Platform Assessment 7 Conclusion References Low-Cost Health Monitoring System: A Smart Technological Device for Elderly People 1 Introduction 2 Background and Literature Survey 3 Proposed Design of IoT-Based Health Monitoring System 4 Result Analysis and Discussion 4.1 Implementation of Prototype 4.2 ECG Monitoring 4.3 Pulse Rate, Oxygen saturation Level and Temperature Detection 4.4 Server 5 Cost Analysis 6 Future Scope 7 Conclusion References An Improved Genetic Algorithm With Initial Population Strategy and Guided Mutation 1 Introduction 2 Static Analysis Technique of GGA 3 The GGA Approach 3.1 Guided Population 3.2 Guided Mutation 4 Empirical Study 4.1 Branch Coverage Effectiveness 5 Conclusion and Future Work References Intuitive Searching: An Approach to Search the Decision Policy of a Blackjack Agent 1 Introduction 1.1 Related Work 2 Intuitive Searching 2.1 Notations and Concepts 2.2 The Correctness of Intuitive Searching 2.3 The Optimal Solution of Training Dataset 3 Experiment 4 Extension 5 Limitations and Future Work 5.1 The Limitation of Intuitive Search in the General Case 5.2 The Limitation When Facing General Poker Game References Generation and Extraction of Color Palettes with Adversarial Variational Auto-Encoders 1 Introduction 2 Related Work 3 Proposed Model Architecture 3.1 Variational Auto Encoder 3.2 Proposed Model Architecture 3.3 VAE GAN 4 Dataset 5 Results 6 Evaluation 7 Conclusion References Crime Mapping Approach for Crime Pattern Identification: A Prototype for the Province of Cavite 1 Introduction 2 Methodology 2.1 Data Gathering 2.2 Design and Development 2.3 Testing 3 Results and Discussions 3.1 Description of Technology 3.2 System Features 3.3 Test Results 4 Conclusions and Recommendations References Hardware in the Loop of an Omnidirectional Vehicle Using Augmented Reality 1 Introduction 2 Development 2.1 Kinematic Model 3 Kinematic Controller 3.1 Controller Design 3.2 Dynamic Compensation 4 Results Obtained 5 Conclusions References Re-hub-ILITY: A Personalized Home System and Virtual Coach to Support and Empower Elderly People with Chronic Conditions 1 Introduction 2 Background: Rationale and Challenge 3 The Re-Hub-ILITY Concept 3.1 Objectives 3.2 Architecture, Technologies and Services 4 Methodological Approach 5 Preliminary Results 6 Expected Impacts and Concluding Remarks References An Empirical Evaluation of Machine Learning Methods for the Insurance Industry 1 Introduction 2 The Dataset: Labeled Insurance Claims 2.1 Preprocessing the Dataset 3 ML-Algorithms for Insurance Claims 3.1 Naive Bayes 3.2 K-Nearest Neighbors 3.3 Regression Analysis 3.4 Decision Tree 3.5 Support Vector Machine 3.6 Neural Network 4 Evaluation of the Algorithms 4.1 Expert Sending: The Binary Classification Task 4.2 Claims Reserve Prediction: The Regression Task 5 Related Work 6 Conclusion and Future Work References Construction and Practice of Task-Driven Learning Model Based on TBL and CBL in Post MOOC Era 1 Introduction 2 Analysis of Advantages and Disadvantages of Single Teaching Mode 2.1 MOOC Teaching Mode 2.2 CBL Teaching Mode 2.3 TBL Teaching Mode 3 The Necessity of Constructing and Practice CBL + TBL Teaching Mode 4 The Necessity of Constructing and Practice CBL + TBL Teaching Mode 4.1 Preparation Phrase 4.2 Implementation Phrase 4.3 Evaluation Phrase 4.4 Feedback Phrase 5 Conclusion References Research Progress on Influencing Factors of Sense of Control in the Elderly and Its Effects on Successful Aging 1 Introduction 2 Influencing Factors of Control 2.1 Influencing Factors of Control 2.2 Social Support 2.3 Self-identity 2.4 Self-affirmation 2.5 Socio-demographic Factors 3 The Role of Control 3.1 Meaning in Life 3.2 Reduce the Risk of Dementia and Depression 3.3 Happiness 3.4 Self-efficacy 4 Summary and Research Outlook References Indicators of Choosing Internet User’s Responsible Behavior 1 Introduction 2 Literature Review 3 Methodology 4 Results 5 Discussion 6 Conclusion References E-Governance and Privacy in Pandemic Times 1 Data Collection and Monitoring by Various Devices 1.1 Bifurcation Point of Privacy 1.2 Data Collection and Monitoring 2 General Trends References A Next-Generation Telemedicine and Health Advice System 1 Introduction 2 Research Methodology 2.1 Literature Search Strategy 2.2 Requirements Analysis and System Design 3 Results and Discussion 4 Observations of the Initial Prototype 5 Conclusion References ``Can Mumbai Indians Chase the Target?'': Predict the Win Probability in IPL T20-20 1 Introduction 2 Related Work 3 Ball-by-Ball Cricket Dataset 4 Feature Extraction 5 Experiments 6 Over by Over Win Prediction 6.1 User Case: MI versus CSK 6.2 User Case:DD versus RPS 7 Conclusion References Method for Extracting Cases Relevant to Social Issues from Web Articles to Facilitate Public Debates 1 Introduction 2 Related Works 3 Building CRSI Corpus 3.1 Designing CRSI Ontology 3.2 Article Retrieval and Manual Annotation 3.3 Dataset Statistics 4 Tasks and Proposed Models 4.1 Modeling 5 Experiments and Evaluation 5.1 Experimental Setup 5.2 Results 5.3 Discussion 6 Conclusion References Comparative Analysis of Cloud Computing Security Frameworks for Financial Sector 1 Introduction 2 Related Work 3 Cloud Computing Security Frameworks 3.1 Cloud Security Reference Model 3.2 Novel Open Security Framework 3.3 Temenos Enterprise Framework Architecture (TEFA) 3.4 Sherwood Applied Business Security Architecture (SABSA) 4 Comparative Parameters 4.1 Deployment Model Structure 4.2 Service Delivery Model 4.3 Security Policies 4.4 Security Standards and Guidelines 5 Comparative Analysis and Discussion 5.1 Cloud Security Reference Model 5.2 Novel Open Security Framework 5.3 Temenos Enterprise Framework Architecture (TEFA) 5.4 Sherwood Applied Business Security Architecture (SABSA) 6 Discussion 7 Conclusion References Author Index
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