
Information Systems for Intelligent Systems
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This book includes selected papers presented at the World Conference on Information Systems for Business Management (ISBM 2023), held in Bangkok, Thailand, on September 7-8, 2023. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.
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Dr. Chakchai So-In (SM, IEEE(14); SM, ACM(15)) is Professor of Computer Science in the Department of Computer Science at Khon Kaen University. He received B.Eng. and M.Eng. from KU (TH) in 1999 and 2001, respectively, and M.S. and Ph.D. from WUSTL (MO, USA) in 2006 and 2010, all in computer engineering. In 2003, he was Internet Working Trainee in a CNAP program at NTU (SG) and obtained Cisco/Microsoft Certifications. From 2006 to 2010, he was Intern at Mobile IP division, Cisco Systems, WiMAX Forum, and Bell Labs (USA). His research interests include mobile computing/sensor networks, Internet of things, computer/wireless/distributed networks, cybersecurity, and intelligent systems and future Internet. He was Editor/Guest Member in IEEE Access, PLOS One, PeerJ (CS), Wireless and Mobile Comput., and ECTI-CIT.
Dr. Narendra D. Londhe is presently working as Associate Professor in the Department of Electrical Engineering of National Institute of Technology Raipur, Chhattisgarh, India. He completed his B.E. from Amravati University in 2000 followed by M.Tech. and Ph.D. from Indian Institute of Technology Roorkee in the years 2006 and 2011, respectively. He has 14 years of rich experience in academics and research. He has published more than 150 articles in recognized journals, conferences, and books. His main areas of research include medical signal and image processing, biomedical instrumentation, speech signal processing, biometrics, intelligent healthcare, brain-computer interface, artificial intelligence, and pattern recognition. He has been awarded by organizations like Taiwan Society of Ultrasound in Medicine, Ultrasonics Society of India, and NIT Raipur. He is Active Member of different recognized societies from his areas of research including senior membership of IEEE.
Dr. Nityesh Bhatt is Professor and Chairperson of Information Management Area at Institute of Management, Nirma University, Ahmedabad. He holds M.B.A. (Marketing) and Ph.D. (e-Governance) degrees from M.L. Sukhadia University, India. He has also completed a four-month Faculty Development Programme (FDP) of IIM-Ahmedabad and an online 'Internet Governance Capacity Building Programme' of Diplo Foundation, Malta, in 2006. He has more than 22 years of experience in academia, corporate training, and research. In 1998, he was awarded as the best faculty of NIIT in North India. Credited with 52 research papers and management cases, he has also co-edited thirteen co-edited books. In 2006, he was invited to participate in the first Internet Governance Forum (IGF) meeting jointly organized by the United Nations-IGF Secretariat and Government of Greece at Athens. He was Recipient of 'Dewang Mehta Best Teacher of Information Technology Award' in 2009.
Dr. Meelis Kitsing is Author of The Political Economy of Digital Ecosystems (Routledge 2021). He is Rector of and Professor of Political Economy at the Estonian Business School. Previously, he worked as Head ofResearch at Foresight Center, Think-Tank at the Estonian Parliament, Adviser at the Strategy Unit of the Estonian Government Office, and Head of Economic Analysis at the Estonian Ministry of Economic Affairs and Communication. He also served as President of Estonian Economic Association. His current research interests focus on the political economy of digital platform ecosystems. His research has been published by Transnational Corporations Review, Journal of Politics, Policy and Internet, Journal of Information Technology and Politics as well as by Springer, IEEE, ACM, Leuven University, and MIT Press.
Content
- Intro
- Preface
- Contents
- About the Editors
- 1 Framework for the Adoption of Digital Transformation-A Study on the Banking and Financial Services Industry in India
- 1.1 Introduction
- 1.2 Role of Employees in Organizational Readiness for Digital Transformation
- 1.3 Research Methodology
- 1.3.1 Proposed Hypotheses for Testing
- 1.4 Results of Data Analysis
- 1.4.1 Testing of First-Order Model (Exploratory Factor Analysis)
- 1.4.2 Testing of the Second-Order Model
- 1.4.3 Structural Equation Model (SEM) Representation
- 1.4.4 Statistical Test for Second-Order Model (Dependent Variables)
- 1.4.5 Testing of Hypotheses for the Second-Order Model (Dependent Variables)
- 1.4.6 Testing of the Hypotheses for the Second-Order Model
- 1.5 Conclusion and Discussion on Results
- References
- 2 A Relative Study of Neural Network and Fuzzy Logic Systems in Multi Lingual, Multi Document Textual Summarization
- 2.1 Introduction
- 2.2 Related Work
- 2.3 Proposed System
- 2.3.1 Text Summarization Process
- 2.3.2 Details of Hybrid Features Used
- 2.4 Results
- 2.5 Conclusion and Future Work
- References
- 3 Assessing Suicidal Tendencies on Twitter Using BERTicle
- 3.1 Introduction
- 3.2 Materials
- 3.3 Methods
- 3.3.1 BERT Model
- 3.3.2 Twitter Scrapers
- 3.3.3 Interaction Circles
- 3.3.4 Suicide Prevention
- 3.4 Discussion
- 3.4.1 Dataset Description
- 3.4.2 Evaluation Metrics
- 3.4.3 Results
- 3.5 Conclusions
- References
- 4 Application of Metaverse in Learners' Engagement
- 4.1 Introduction
- 4.2 Literature Review
- 4.2.1 Metaverse
- 4.2.2 Learners Engagement
- 4.2.3 Metaverse and Technology Acceptance Model (TAM)
- 4.3 Research Methodology
- 4.4 Data Analysis and Interpretation
- 4.5 Conclusion and Future Scope of Research
- References
- 5 Prediction and Early Detection of Various Diseases Risk by Using Machine Learning Techniques
- 5.1 Introduction
- 5.2 Literature Review
- 5.3 Proposed Work
- 5.3.1 Train and Test of Data
- 5.3.2 Machine Learning Algorithms and Model
- 5.3.3 Predict the Disease Using User Interface
- 5.4 Experimental Results
- 5.4.1 Scatter Plot for Predicted Results
- 5.4.2 Graphical User Interface (GUI) Results
- 5.5 Conclusion
- References
- 6 AI in Healthcare in India: Navigating the Ethical, Legal, and Social Implications
- 6.1 Introduction
- 6.2 Information Processing and Algorithm Implementation for Using AI Systems in Healthcare
- 6.2.1 AI for Living Support
- 6.2.2 AI in the Processing of Biological Data
- 6.2.3 Personalized Medicine with AI/ML
- 6.3 Disease Diagnostic Tools and Prognostication
- 6.3.1 Analysis of Medical Pictures Using Artificial Intelligence
- 6.3.2 Analysis of Electronic Medical Records
- 6.3.3 Genetic Data Analysis by AI
- 6.3.4 AI Can Scan Information from News Articles, Social Media, and Other Sources to Forecast the Risk of Disease Epidemics
- 6.4 Legal and Ethical Ramifications of Deploying AI in Healthcare in the Indian Context
- 6.5 Conclusion
- References
- 7 A Sign Language Recognition System Using Artificial Intelligence
- 7.1 Introduction
- 7.2 Literature Survey
- 7.3 Methodology
- 7.3.1 Data Collection and Pre-processing
- 7.3.2 Deep Learning Architecture
- 7.3.3 Model Training Process
- 7.4 Results
- 7.5 Conclusion
- References
- 8 An Integrated Web Based and Application Programming Interfaces for Disease Prediction Through Self Diagnosis
- 8.1 Introduction
- 8.2 Literature Review
- 8.3 Problem Statement
- 8.4 Proposed Algorithm
- 8.4.1 Machine Learning Algorithm
- 8.4.2 Methodology
- 8.4.3 Requirements for the Web Based Blood Bank with Disease Prediction
- 8.5 Results
- 8.6 Conclusion
- References
- 9 Modelling and Fabrication of Security Gadget for Tirumala
- 9.1 Introduction
- 9.2 Procedures for Paper Submission
- 9.2.1 Detection Principle of PIR Sensor
- 9.2.2 The PIR Sensor Design
- 9.2.3 Heart Rate Sensor Design
- 9.2.4 MEMS Capacitive Analysis
- 9.3 Design of Complete Security System
- 9.3.1 Device Integration
- 9.3.2 Product Development
- 9.4 Results and Discussion
- 9.4.1 PCB Board Development
- 9.5 Conclusion
- References
- 10 Influence Analytics Model of the General Education Courses Toward the Academic Achievement of Rajabhat University Students Using Data Mining Techniques
- 10.1 Introduction
- 10.2 Material and Methods
- 10.2.1 Population and Sample
- 10.2.2 Data Preparation
- 10.2.3 Modeling
- 10.2.4 Model for Clustering
- 10.2.5 Model for Predicting
- 10.2.6 Evaluation and Deployment
- 10.2.7 Evaluation for Clustering
- 10.2.8 Evaluation for Predicting
- 10.3 Results and Discussion
- 10.3.1 Research Results
- 10.3.2 The Optimal Cluster Numbers
- 10.3.3 The Most Effective Model
- 10.3.4 Research Discussion
- 10.4 Conclusion
- 10.5 Research Limitations
- References
- 11 ICT Policy Reforms for Innovation and Economic Development: A Comparative Study of India and China
- 11.1 Introduction
- 11.2 Review of Literature
- 11.3 Objectives of the Study
- 11.4 Research Methodology
- 11.5 Analysis and Discussion
- 11.5.1 Key Policies and Reforms Implemented in the Last Decade in India and China
- 11.5.2 Influence of ICT Reforms on Economic Variables From a Dual Perspective
- 11.6 Interpretation
- 11.6.1 Comparing ICT Policies and Reforms for Both Countries on a Developmental Scale
- 11.7 Conclusion
- References
- 12 Heart Failure Prediction for a Patient Using Hybrid African Buffalo Optimization with Naive Bayes Machine Learning Techniques
- 12.1 Introduction
- 12.1.1 Heart Valve Disease
- 12.1.2 Standardized Criteria for HF Diagnosis
- 12.1.3 Machine Learning
- 12.2 Literature Review
- 12.2.1 Diabetes Disease
- 12.2.2 Analysis
- 12.3 System Design
- 12.3.1 Pre-processing
- 12.3.2 Segmentation
- 12.3.3 Classification
- 12.3.4 African Buffalo Optimization
- 12.3.5 The Flow of ABO
- 12.3.6 Naive Bayes
- 12.4 Result and Discussion
- 12.5 Conclusion
- References
- 13 Enhancing Criminal Identification: Human Face Deblurring and Mask Detection Using Convolutional Neural Networks
- 13.1 Introduction
- 13.2 Background
- 13.3 Motivation
- 13.4 Analysis
- 13.5 Software and Hardware Requirements
- 13.6 Literature Survey
- 13.7 Software Architecture
- 13.8 Results
- 13.9 Conclusion
- References
- 14 Breast Tumor Prediction Using SVM with Rain Fall Optimisation Algorithm
- 14.1 Introduction
- 14.2 Literature Review
- 14.3 Problem Formulation
- 14.4 Proposed Methodology
- 14.4.1 Support Vector Machine
- 14.4.2 Optimisation Algorithm
- 14.4.3 Algorithm for Rain Fall Optimization
- 14.5 Experimental Results
- 14.5.1 Dataset Analysis
- 14.5.2 Results
- 14.6 Conclusion
- References
- 15 Potato Leaf Disease Detection Using Convolutional Neural Network
- 15.1 Introduction
- 15.2 Literature Survey
- 15.3 Methodology
- 15.3.1 Dataset Collection
- 15.3.2 Data Pre-processing
- 15.3.3 Classification
- 15.3.4 Model Building
- 15.4 Results and Discussion
- 15.5 Conclusion
- References
- 16 Unmask Masked Face
- 16.1 Introduction
- 16.2 Related Work
- 16.3 Methodology
- 16.3.1 Generator
- 16.3.2 Skip Connections
- 16.3.3 Discriminator
- 16.4 Objective Function
- 16.5 Experiment and Result
- 16.6 Conclusion and Future Work
- References
- 17 A Platform for Collaborative Light Weight Ontology Development
- 17.1 Introduction
- 17.2 Literature Review
- 17.3 Proposed System
- 17.3.1 Phase 1: Domain Selection
- 17.3.2 Phase 2: Add Class/Relation/Instance
- 17.3.3 Phase 3: Superclass and Subclass Mapping
- 17.3.4 Phase 4: Class and Relation Mapping
- 17.3.5 Phase 5: Class, Relation and Its Instance Mapping
- 17.3.6 Phase 6: PostgreSQL Database Creation
- 17.3.7 Phase 7: Ontology Validation by Expert
- 17.3.8 Phase 8: Conversion of Informal to Formal Ontology
- 17.4 Evaluation Setup
- 17.4.1 System Requirements and Population
- 17.4.2 Survey Questionnaire
- 17.5 Result and Discussions
- 17.6 Conclusions
- References
- 18 Diabetic Retinopathy Severity Detection an Automated Tool
- 18.1 Introduction
- 18.2 Literature Survey
- 18.3 Materials and Methods
- 18.3.1 Dataset
- 18.3.2 Pre-processing
- 18.3.3 Deep Neural Network
- 18.3.4 Training
- 18.4 Results
- 18.5 Conclusion and Future Work
- References
- 19 Towards Intelligent Governance: The Role of AI in Policymaking and Decision Support for E-Governance
- 19.1 Introduction
- 19.2 Related Work
- 19.3 Proposed Methodology
- 19.4 Experimental Results
- 19.4.1 Increased Efficiency
- 19.4.2 Enhanced Decision Support
- 19.4.3 Improved Resource Allocation
- 19.4.4 Public Opinion Analysis
- 19.5 Conclusion
- References
- 20 Synchronizing Business Inspirations: A Conceptualized Computational Approach
- 20.1 Introduction
- 20.2 Literature Review
- 20.3 Methodology
- 20.4 Discussion and Operational Overview
- 20.5 Conclusion
- References
- 21 Design, Implementation, and Evaluation of a Low-Cost Visible Light Communication Testbed
- 21.1 Introduction
- 21.2 Related Work
- 21.3 Proposed Work
- 21.3.1 Channel Model
- 21.3.2 Theoretical SNR
- 21.3.3 Testbed Overview
- 21.4 Implementation
- 21.4.1 Implementation of Generic VLC Transmitter
- 21.4.2 Implementation of OOK Modulation
- 21.4.3 Implementation of PDM
- 21.5 Experimental Setup
- 21.6 Results
- 21.6.1 Results of Simulation Experiments
- 21.6.2 Results of Testbed Experiments
- 21.7 Conclusion
- References
- 22 Detection of Fake Audio: A Deep Learning-Based Comprehensive Survey
- 22.1 Introduction
- 22.2 Related Work
- 22.3 Major Techniques in the Literature Survey
- 22.4 Observation on Literature Survey
- 22.5 Conclusion
- References
- 23 Fraudulent IP Address Detection Using Machine Learning Techniques
- 23.1 Introduction
- 23.1.1 IP Addresses
- 23.1.2 IP Addresses
- 23.1.3 Supervised Machine Learning Algorithms
- 23.2 Literature Survey
- 23.3 Implementation of ML Models
- 23.3.1 Random Forest
- 23.3.2 Gradient Boosting
- 23.3.3 Adaptive Boosting
- 23.4 Proposed Methodology
- 23.4.1 Exploratory Data Analysis (EDA)
- 23.4.2 Supervised Learning Algorithms
- 23.5 Results and Conclusions
- References
- 24 Enhancing Cyber Threat Intelligence and Security Automation: A Comprehensive Approach for Effective Protection
- 24.1 Introduction
- 24.1.1 Problem Statement
- 24.2 Brief Literature Review
- 24.2.1 Research Gap
- 24.3 Methodology
- 24.3.1 Algorithms/Techniques
- 24.4 Implementation and Result
- 24.4.1 Data Preprocessing
- 24.4.2 Result
- 24.4.3 Discussion
- 24.5 Conclusion
- 24.6 Future Work
- References
- 25 Breaking Down the Barriers: How Bangladeshi Banks Can Overcome Obstacles to Automation
- 25.1 Introduction
- 25.1.1 Comprehensive Objective
- 25.1.2 Specific Objective
- 25.1.3 Methodology of the Study
- 25.2 How and Why Banks Moved to Automation
- 25.2.1 Banking Process Before Evaluation
- 25.2.2 History of Introducing Automation
- 25.2.3 Banking Process After Evaluation
- 25.2.4 Satisfaction Earned by Evolved Banks from Customers
- 25.2.5 Overall Quality of Banking Service
- 25.2.6 Automation in Banking Security
- 25.3 Problems Which Drives for Automation
- 25.3.1 Business Problem
- 25.3.2 Financial Problem
- 25.3.3 Technical Problem
- 25.4 Proposed Solution
- 25.4.1 Develop a Comprehensive Automation Strategy
- 25.4.2 Standardize the Automation Process
- 25.4.3 Use a Modular Approach to Automation
- 25.4.4 Invest in Quality Assurance
- 25.4.5 Address Data Security Concerns
- 25.4.6 Automation Frameworks
- 25.4.7 Digital Banking Transformation Strategies
- 25.5 Impact Analysis
- 25.6 Conclusion
- References
- 26 Edge Map Extraction of High-Resolution Facial Images
- 26.1 Introduction and Related Work
- 26.2 Algorithm
- 26.2.1 Smoothing
- 26.2.2 Directional Gradients
- 26.2.3 Weak Edge Detection
- 26.2.4 Strong Edge Detection
- 26.2.5 Merging
- 26.2.6 Thinning
- 26.3 Choosing the Right sigmas Value for Smoothing
- 26.4 Performance Measurement and Evaluation
- 26.4.1 Performance on Different Database
- 26.4.2 Comparative Analysis
- 26.4.3 Subjective Analysis
- 26.5 Conclusion
- References
- 27 Factors to Form Business Strategy for Online-Based Ride-Sharing Services
- 27.1 Introduction
- 27.2 Related Works
- 27.3 Research Design
- 27.3.1 Research Method
- 27.3.2 Data Collection and Analysis Method
- 27.4 Result and Analysis
- 27.4.1 Software Marketing Strategy of Ride-Sharing Companies
- 27.4.2 Demographics
- 27.4.3 Factors to form Business Strategies, Customers' Perceptions, and Impact of COVID-19
- 27.5 Conclusions
- References
- 28 A New Perceptron-Based Neural-Network Algorithm to Enhance the Scheduling Performance of Safety-Critical WSNs of Increased Dependability
- 28.1 Introduction
- 28.2 Related Work
- 28.3 Proposed Framework
- 28.3.1 Problem Formulation
- 28.4 Simulation Experiments
- 28.4.1 Experiment 1: WSN Without a Scheduling Algorithm
- 28.4.2 Experiment 2: WSN with RCS Scheduling Algorithm
- 28.4.3 Experiment 3: WSN with RCS Scheduling Algorithm Supported by ANN
- 28.5 Conclusion
- References
- 29 Eco-Friendly Air Conditioners: Cool Ant's Beehive as a Case Study
- 29.1 Introduction
- 29.2 Literature Review
- 29.3 Research Objective
- 29.4 Research Methodology
- 29.5 Findings
- 29.6 Cool Ant's Beehive Air Cooler
- 29.7 The Difference in the Temperature After Installing Beehive
- 29.8 The Ideation Process
- 29.9 Future Adaptations
- 29.10 Benefits of This System
- 29.11 Recommendations
- References
- 30 Visualization Process Model for Interpretation of Rainfall Patterns in India
- 30.1 Introduction
- 30.2 Literature Review
- 30.3 Materials and Methods
- 30.3.1 Dataset
- 30.3.2 Sampling
- 30.3.3 Classification
- 30.3.4 Clustering
- 30.3.5 Experimental Research
- 30.4 Methodology
- 30.4.1 Experimental Research Methodology
- 30.5 Results and Discussion
- 30.6 Conclusion
- References
- 31 Cross Link: An Artificial Intelligence Based Solution for Elderly Healthcare
- 31.1 Introduction
- 31.2 Related Works
- 31.3 Contribution
- 31.3.1 Definitions
- 31.3.2 Hardware Architecture
- 31.3.3 Software Architecture
- 31.4 Experimentation
- 31.4.1 Experiment Protocol
- 31.4.2 Results
- 31.4.3 Discussion
- 31.5 Conclusions and Perspectives
- 31.5.1 Conclusions
- 31.5.2 Perspectives
- References
- 32 Recent Methods on Medical Image Inpainting and Multi-task Learning Using Deep Learning Models
- 32.1 Introduction
- 32.2 DL for Medical Image Inpainting
- 32.3 GAN/EGAN for Medical Image Inpainting
- 32.4 GAN/EGAN for Image Inpainting
- 32.5 Research Gaps Analysis
- 32.6 Possible Future Solutions
- 32.7 Conclusion
- References
- 33 Identifying Best Goalkeepers Problem is a NP-Hard?
- 33.1 Introduction
- 33.2 Identifying Best Goalkeepers: Problem Definition
- 33.3 Mathematical Formulation and Representation
- 33.4 Conclusion
- References
- 34 SafeTicket: Tickets Sale Safely Supported by Blockchain and NFTs
- 34.1 Introduction
- 34.1.1 A Subsection Sample
- 34.2 Related Works
- 34.3 Contribution
- 34.3.1 Preliminary Concepts
- 34.3.2 Method
- 34.3.3 Contribution
- 34.4 Experiments
- 34.4.1 Experimental Protocol
- 34.4.2 Results
- 34.4.3 Discussion
- 34.5 Conclusions and Perspectives
- References
- 35 Identification of Optimal Products for SMS Marketing with SMS Size Constrained
- 35.1 Introduction
- 35.2 Related Work
- 35.3 Identification of the Optimal Products for SMS Marketing
- 35.3.1 Proposed Mechanism to Identify the Optimal Products for SMSM
- 35.3.2 Algorithms for IOPSMSM to Implement SMSM Algorithm
- 35.4 Experiments
- 35.4.1 Dataset
- 35.4.2 Experimental Analysis
- 35.4.3 Analysis of the Results
- 35.5 Conclusions
- References
- 36 Procurement of QKD Technology Platform as a Logic Puzzle Solution
- 36.1 Introduction
- 36.2 Europe's Future Will Be Quantum
- 36.3 Quantum Secure Technology Procurement/Deployment Process Management Philosophy
- 36.4 QKD Technology Playing Field
- 36.5 Applications of the Standard Requirements
- 36.6 NIST
- 36.7 OTP
- 36.8 The Technical Specification
- 36.9 Conclusions
- References
- 37 Stacked Boxes-Detection & Segmentation
- 37.1 Introduction
- 37.2 Literature Survey
- 37.3 Methodology
- 37.3.1 YOLOv7 Architecture
- 37.3.2 SAM (Segment Anything Model)
- 37.3.3 Dataset Preparation
- 37.3.4 Model Architecture and Pre-processing
- 37.3.5 Training
- 37.3.6 Post-processing
- 37.3.7 Evaluation
- 37.3.8 Inference
- 37.4 Results and Discussions
- 37.5 Conclusion
- References
- 38 Research of Alternative Models of Serendipity Finite Elements Using Model Problems
- 38.1 Introduction
- 38.2 Main Results of the Study
- 38.2.1 Purpose of the Study
- 38.2.2 Research Material
- 38.3 Conclusions
- References
- 39 PoReBo: Digital Intermediation Platform Based on Blockchain for the Management of Police Records
- 39.1 Introduction
- 39.2 Related Works
- 39.3 Contribution
- 39.4 Experimentation
- 39.4.1 Experimental Protocol
- 39.4.2 Results
- 39.4.3 Discussion
- 39.5 Conclusion and Perspectives
- 39.5.1 Conclusions
- 39.5.2 Perspectives
- References
- 40 Design of Automatic Online Lecture Video Commentator for Visually Impaired Students Supporting Diagram Commentary
- 40.1 Introduction
- 40.2 Related Works
- 40.2.1 A Mobile e-Learning Application for Enhancement of Basic Mathematical Skills in Visually Impaired Children (2023)
- 40.2.2 Voice Commentary System to Increase Understanding of Video Lectures for Visually Impaired Students (2022)
- 40.2.3 Image Description Guidelines
- 40.3 Design of Software Structure and Methods for Interpreting Visual Materials by Type
- 40.3.1 System Overview
- 40.3.2 Analysis and Commentary Method of Visual Data in Lecture Videos by Type
- 40.4 Evaluation of Usability of Diagram Commentary Techniques
- 40.4.1 The Method of the Usability Evaluation
- 40.4.2 The Result of Usability Evaluation
- 40.5 Conclusion
- References
- 41 Exploring the Benefits of Data Augmentation for Breast Cancer Classification using Transfer Learning
- 41.1 Introduction
- 41.1.1 Research Contribution
- 41.1.2 Paper Organization
- 41.2 Related Work
- 41.3 Methodology
- 41.3.1 Dataset
- 41.3.2 Data Preparation
- 41.3.3 Final Training Dataset
- 41.3.4 Deep Learning Models
- 41.3.5 Model Parameters and Hyperparameters
- 41.4 Result Analysis and Discussion
- 41.4.1 Performance Measures
- 41.4.2 Result Evaluation and Analysis
- 41.4.3 Limitations and Future Research Direction
- 41.5 Conclusion
- References
- 42 Proposal of Usage Facility Data for Fire Risk Estimation on the Thermal Power Plants
- 42.1 Introduction
- 42.1.1 Contributions
- 42.2 Methodology
- 42.2.1 Fire Risk Estimation Method for Thermal Power Plant
- 42.2.2 Classification of Zones, Facilities, and Selection of Tags
- 42.3 Experiments and Discussion
- 42.3.1 Dataset
- 42.3.2 Turbine
- 42.3.3 Boiler
- 42.3.4 Discussion
- 42.4 Conclusion
- References
- 43 Payroll System: Digital Transformation in Government (A Case Study of an Indonesian Social Service)
- 43.1 Introduction
- 43.2 Literature Review
- 43.2.1 Digital Transformation in Government
- 43.2.2 E-Government Implementation in Indonesia
- 43.2.3 Government-to-Employee (G2E): Payroll System
- 43.3 Method
- 43.4 Results and Discussion
- 43.5 Conclusion
- References
- 44 Machine Learning Based Detection of Hidden Data in Network Packets
- 44.1 Introduction
- 44.2 Literature Review
- 44.3 Methodology
- 44.3.1 Dataset Creation
- 44.3.2 The Main Features Description
- 44.3.3 Classifiers
- 44.4 Experimental Result
- 44.5 Conclusion
- References
- 45 Effects of Aging Society in Longan E-Commerce of Thailand During COVID-19
- 45.1 Introduction
- 45.2 Literature Reviews
- 45.2.1 Electronic Commerce (E-Commerce) in Thailand
- 45.2.2 E-Commerce with agricultural products in Thailand
- 45.3 Methodology
- 45.4 Data
- 45.5 Empirical Results
- 45.5.1 Longan Business Situation in Thailand During Covid-19 with an Aging Society
- 45.5.2 The Relationship Between Aging Society and the Adoption of E-Commerce in Longan Business
- 45.5.3 The Effect of the Adoption of E-Commerce on the Income of Longan Business During Covid-19
- 45.6 Conclusion
- References
- 46 RIPDroid: Android Malware Detection Based on Permissions and IP Reputation Model
- 46.1 Introduction
- 46.2 Related Work
- 46.2.1 General Approaches for Android Malware
- 46.2.2 IP-Based Solutions
- 46.3 Proposed Methodology
- 46.3.1 Permission-Based Model
- 46.3.2 IP Reputation Model
- 46.4 Implementation
- 46.4.1 Permission-Based Model
- 46.4.2 IP-Reputation Model
- 46.5 Results and Discussion
- 46.5.1 Permission-Based Model
- 46.5.2 IP Reputation Model
- 46.6 Conclusion
- 46.7 Future Work
- References
- 47 Hybrid Intrusion Detection System for Industrial Control System
- 47.1 Introduction
- 47.2 Intrusion Detection System
- 47.2.1 Raspberry Pi 4 Board
- 47.2.2 Attacks on ICS
- 47.3 Proposed Design
- 47.4 Simulation Attack
- 47.5 Results
- 47.6 Conclusion and Future Work
- References
- 48 Development of an Artificial Intelligent Health Chatbot for Improved Telemedicine
- 48.1 Introduction
- 48.2 Methodology
- 48.2.1 System Design
- 48.2.2 Artificial Intelligence Model
- 48.2.3 System Requirements
- 48.3 Results and Discussion
- 48.3.1 Datasets
- 48.3.2 Symptom_Precaution.csv
- 48.3.3 Symptom_Severity.csv
- 48.3.4 Dataset.csv
- 48.3.5 Training Dataset
- 48.3.6 Testing Dataset
- 48.3.7 Building the Chatbot
- 48.4 Conclusion
- References
- 49 Development of IoT Based Controlled Bench Power Generation System
- 49.1 Introduction
- 49.2 Methodology
- 49.2.1 Materials
- 49.3 Method
- 49.3.1 Hardware
- 49.4 Results and Analysis
- 49.4.1 Software
- 49.5 Conclusions
- 49.5.1 Recommendations
- References
- Author Index
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