Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London, Volume 2 (Lecture Notes in Networks and Systems, 236) [1st ed. 2022] 9811623791, 9789811623790

This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and

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English Pages 1059 [1002] Year 2021

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Table of contents :
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
Recommend Papers

Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London, Volume 2 (Lecture Notes in Networks and Systems, 236) [1st ed. 2022]
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Lecture Notes in Networks and Systems 236

Xin-She Yang Simon Sherratt Nilanjan Dey Amit Joshi   Editors

Proceedings of Sixth International Congress on Information and Communication Technology ICICT 2021, London, Volume 2

Lecture Notes in Networks and Systems Volume 236

Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Advisory Editors Fernando Gomide, Department of Computer Engineering and Automation—DCA, School of Electrical and Computer Engineering—FEEC, University of Campinas— UNICAMP, São Paulo, Brazil Okyay Kaynak, Department of Electrical and Electronic Engineering, Bogazici University, Istanbul, Turkey Derong Liu, Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, USA Institute of Automation, Chinese Academy of Sciences, Beijing, China Witold Pedrycz, Department of Electrical and Computer Engineering, University of Alberta, Alberta, Canada Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Marios M. Polycarpou, Department of Electrical and Computer Engineering, KIOS Research Center for Intelligent Systems and Networks, University of Cyprus, Nicosia, Cyprus Imre J. Rudas, Óbuda University, Budapest, Hungary Jun Wang, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong

The series “Lecture Notes in Networks and Systems” publishes the latest developments in Networks and Systems—quickly, informally and with high quality. Original research reported in proceedings and post-proceedings represents the core of LNNS. Volumes published in LNNS embrace all aspects and subfields of, as well as new challenges in, Networks and Systems. The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output. The series covers the theory, applications, and perspectives on the state of the art and future developments relevant to systems and networks, decision making, control, complex processes and related areas, as embedded in the fields of interdisciplinary and applied sciences, engineering, computer science, physics, economics, social, and life sciences, as well as the paradigms and methodologies behind them. Indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science.

More information about this series at http://www.springer.com/series/15179

Xin-She Yang · Simon Sherratt · Nilanjan Dey · Amit Joshi Editors

Proceedings of Sixth International Congress on Information and Communication Technology ICICT 2021, London, Volume 2

Editors Xin-She Yang Middlesex University London, UK

Simon Sherratt University of Reading Reading, UK

Nilanjan Dey JIS University Kolkata, India

Amit Joshi Global Knowledge Research Foundation Ahmedabad, India

ISSN 2367-3370 ISSN 2367-3389 (electronic) Lecture Notes in Networks and Systems ISBN 978-981-16-2379-0 ISBN 978-981-16-2380-6 (eBook) https://doi.org/10.1007/978-981-16-2380-6 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Preface

The Sixth International Congress on Information and Communication Technology was held on February 25–26, 2021, digitally on ZOOM and was organized by Global Knowledge Research Foundation. The associated partners were Springer, SPRINGER NATURE, and InterYIT IFIP. The conference provided a useful and wide platform both for display of the latest research and for exchange of research results and thoughts. The participants of the conference were from almost every part of the world (around 85 countries), with background of either academia or industry, allowing a real multinational multicultural exchange of experiences and ideas. A total of 1150 papers were received for this conference from across 83 countries, among which around 350 papers were accepted and were presented on the digital platform. Due to overwhelming response, we had to drop many papers in a hierarchy of the quality. Totally, 51 technical sessions were organized in parallel in 2 days, and talks were given on both the days. The conference involved deep discussion and issues which are intended to be solved at global levels. New technologies were proposed, experiences were shared and future solutions for design infrastructure for ICT were also discussed. The total papers will be published in 4 volumes of proceedings, among which this is one. The conference consisted of several distinguished authors, scholars, and speakers from all over the world. Amit Joshi, organizing Secretary, ICICT 2021, Sean Holmes, Vice Dean International, College of Business, Arts and Social Sciences, Brunel University London, UK, Mike Hinchey, Immd. Past Chair—IEEE UK and Ireland section & Director of Lero and Professor—Software Engineering, University of Limerick, Ireland, Aninda Bose, Sr. Publishing Editor, Springer Nature, Germany, Xin-She Yang, Professor, Middlesex University, Prof. Jyoti Choudri, Professor, University of Hertfordshire and many were a part of the Inaugural Session and the conference. The conference was organized and conceptualized with collective efforts of a large number of individuals. We would like to thank our committee members and the reviewers for their excellent work in reviewing the papers. Grateful acknowledgements are extended to the team of Global Knowledge Research Foundation for their

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valuable efforts and support. We are also thankful to the sponsors, press, print, and electronic media for their excellent coverage of this conference. London, UK Reading, UK Kolkata, India Ahmedabad, India

Xin-She Yang Simon Sherratt Nilanjan Dey Amit Joshi

Contents

Highly Efficient Stochastic Approaches for Computation of Multiple Integrals for European Options . . . . . . . . . . . . . . . . . . . . . . . . . Venelin Todorov, Ivan Dimov, Stoyan Apostolov, and Stoyan Poryazov

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Spectrum Sensing Data Falsification Attack Reputation and Q-Out-of-M Rule Security Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Velempini Mthulisi, Ngomane Issah, and Mapunya Sekgoari Semaka

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Lean Manufacturing Tools for Industrial Process: A Literature Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Gustavo Caiza, Alexandra Salazar-Moya, Carlos A. Garcia, and Marcelo V. Garcia Lambda Computatrix (LC)—Towards a Computational Enhanced Understanding of Production and Management . . . . . . . . . . . Bernhard Heiden, Bianca Tonino-Heiden, Volodymyr Alieksieiev, Erich Hartlieb, and Denise Foro-Szasz

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Behavioral Analysis of Wireless Channel Under Small-Scale Fading . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mridula Korde, Jagdish Kene, and Minal Ghute

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Towards a Framework to Address Enterprise Resource Planning (ERP) Challenges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Stephen Kwame Senaya, John Andrew van der Poll, and Marthie Schoeman

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Potentials of Digital Business Models in the Construction Industry—Empirical Results from German Experts . . . . . . . . . . . . . . . . . Ralf-Christian Härting, Christopher Reichstein, and Tobias Schüle

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An Alternative Auction System to Generalized Second-Price for Real-Time Bidding Optimized Using Genetic Algorithms . . . . . . . . . Luis Miralles-Pechuán, Fernando Jiménez, and Josá Manuel García

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Low-Cost Fuzzy Control for Poultry Heating Systems . . . . . . . . . . . . . . . . Gustavo Caiza, Cristhian Monta, Paulina Ayala, Javier Caceres, Carlos A. Garcia, and Marcelo V. Garcia Towards Empowering Business Process Redesign with Sentiment Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Selver Softic and Egon Lüftenegger 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 . . . . . . . . . . . . . . . . . . . . . Soliman Aljarboa and Shah J. Miah Research Trends in the Implementation of eModeration Systems: A Systematic Literature Review . . . . . . . . . . . . . . . . . . . . . . . . . . . Vanitha Rajamany, J. A. van Biljon, and C. J. van Staden From E-Government to Digital Transformation: Leadership . . . . . . . . . . Miguel Cuya and Sussy Bayona-Oré

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Application of Machine Learning Methods on IoT Parking Sensors’ Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Dražen Vuk and Darko Androˇcec

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A Fast Algorithm for Image Deconvolution Based on a Rank Constrained Inverse Matrix Approximation Problem . . . . . . . . . . . . . . . . Pablo Soto-Quiros, Juan Jose Fallas-Monge, and Jeffry Chavarría-Molina

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On-Body Microstrip Patch Antenna for Breast Cancer Detection . . . . . Sourav Sinha, Sajidur Rahman, Mahajabin Haque Mili, and Fahim Mahmud Machine Learning with Meteorological Variables for the Prediction of the Ele