Information Systems for Intelligent Systems

Name: Information Systems for Intelligent Systems | Proceedings of ISBM 2023
Brand: Springer
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Proceedings of ISBM 2023

Chakchai So In Narendra D. Londhe Nityesh Bhatt Meelis Kitsing(Editor)

Springer (Publisher)

1st Edition

Published on 26. February 2024

XIV, 617 pages

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978-981-99-8612-5 (ISBN)

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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
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Information Systems for Intelligent Systems

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