Decision Analytics for Sustainable Development in Smart Society 5.0: Issues, Challenges and Opportunities

Preface
Contents
Editors and Contributors
1 Intelligent Systems for Sustainable Development of Healthcare Industry
1.1 Introduction
1.2 Healthcare Technologies
1.2.1 Augmented Reality
1.2.2 Blockchain Technology
1.2.3 Artificial Intelligence (AI) and Robotics
1.2.4 Internet of Things
1.2.5 3D Printing
1.3 Intelligent Systems in Healthcare Industry
1.4 Data Analytics and Challenges in the Healthcare
1.4.1 Challenges in Healthcare Analytics
1.5 Conclusion and Future Scope
References
2 Fruit Fly Damage control—A Comprehensive Solution for Sustainable Development of Gherkin Industry
2.1 Introduction
2.2 Types of Gherkins
2.3 Literature Survey
2.4 Proposed System
2.4.1 Preprocessing
2.4.2 Segmentation
2.4.3 Feature Selection
2.4.4 Convolutional Neural Networks
2.4.5 Resnet Model
2.4.6 Transfer Learning
2.4.7 Image Net
2.4.8 ResNet50
2.4.9 Softmax
2.5 Results and Discussion
2.6 Conclusion and Future Work
2.6.1 Conclusion
2.6.2 Limitation
2.6.3 Future Work
References
3 Uprising of EVs: Charging the Future with Demystified Analytics and Sustainable Development
3.1 Introduction
3.2 Electric Vehicle: A Sustainable Development Approach
3.3 Need for EV Charging Application
3.4 Features of EV Charging Application
3.5 Services Rendered from the Charging Station
3.6 Tribulations of Implementations
3.7 Resolution of Encountered Tribulations
3.8 Proposal Feasibility
3.9 Classification of Various Modules
3.9.1 User App
3.9.2 Operator App
3.10 Methodology
3.11 Significance of Agile Methodology
3.12 Prototype SDLC Model
3.13 Cost–Benefit Analysis
3.14 Results and Discussions
3.15 Conclusion and Future Scope
References
4 Assessing Intelligence Text Classification Techniques
4.1 Introduction
4.2 Text Classification in Software Modeling
4.2.1 Knowledge Engineering for Text Classification and Text Categorization
4.2.2 Dimensionality Reduction
4.3 Techniques for Intelligent Text Classification
4.3.1 Naïve Bayes Classification
4.3.2 Support Vector Machines for Classification
4.3.3 Decision Tree Induction
4.4 Text Classification Machine Learning Models for Sustainable Development Goals: A Review
4.5 Conclusion
References
5 Automated Traffic Rule Violation Detection with E-Challan Generation for Smart Societies
5.1 Introduction
5.1.1 Overview
5.1.2 Problem Definition
5.1.3 Objective
5.2 Literature Survey
5.3 Work Done
5.3.1 Overview
5.3.2 Software Used
5.3.3 Methodology
5.3.4 Implementation
5.4 Results and Discussions
5.5 Conclusion and Future Scope
5.5.1 Conclusion
5.5.2 Future Scope
References
6 Internet of Things Based Pigeon Pea Disease Detection Tool to Achieve Sustainable Development in Smart Farming
6.1 Introduction
6.2 Literature Review
6.3 Methodology and Design
6.3.1 Disease Database
6.3.2 Design Diagram
6.3.3 Working of the Proposed System
6.4 Experimental Results
6.4.1 The Output of the User Module
6.4.2 The Output of the Field Module
6.4.3 Cure Mechanism
6.5 Conclusion and Future Scope
References
7 IT Infrastructure for Smart City: Issues and Challenges in Migration from Relational to NoSQL Databases
7.1 Introduction
7.2 Related Work
7.3 Smart City Requirements
7.3.1 Smart City Applications
7.4 Comparative Study of Relational and NoSQL Databases
7.4.1 Characteristics of NoSQL Systems
7.4.2 Advantages and Disadvantages of NoSQL Databases
7.4.3 Advantages and Disadvantages of Relational Databases
7.5 NoSQL Databases Classification
7.5.1 Document-Oriented Databases
7.5.2 Key-Value Databases
7.5.3 Column-Oriented Databases
7.5.4 Graph-Oriented Databases
7.6 Methods of Data Migration
7.6.1 Mid-Model Approach [7]
7.6.2 NoSQLayer Approach [15]
7.6.3 Data Adapter Approach [9]
7.6.4 Automatic Mapping Framework [9]
7.7 Issues and Challenges in Migration
7.7.1 Model Transformation
7.7.2 Data Migration
7.7.3 Schema Conversion
7.7.4 Strategies to Perform Join
7.7.5 Use of Indexes
7.8 Case Study on MongoDB
7.8.1 Comparison—SQL and MongoDB
7.8.2 Features of MongoDB
7.8.3 Advantages of MongoDB
7.8.4 CRUD Operations in MongoDB
7.9 Conclusion and Future Work
References
8 Data Security in Collaborative Business Intelligence for Sustainable Super Smart Society
8.1 Super Smart Society: Introduction
8.2 Collaborative BI for Super Smart Society
8.3 Information Security Practices for CBI Processes
8.4 Use Case: Retail Store in Super Smart Society
8.5 Data Security Framework for CBI
8.6 Case Studies
8.7 Conclusion and Future Scope
References
9 An Analytical Approach for Sustainable Development in Smart Society 5.0 Using Swasthya Sahayak Application
9.1 Introduction and Foreword
9.1.1 Objectives of the Work
9.2 Literature Review
9.3 Research Methodology
9.3.1 Problem Description
9.3.2 Academic Research
9.3.3 Research Methods
9.3.4 Implementation
9.4 Results and Discussion
9.4.1 Covid Update
9.4.2 Login
9.4.3 Register
9.4.4 Latest News
9.4.5 Self-Assessment
9.4.6 User Status
9.4.7 Notify Me
9.4.8 FAQs
9.4.9 Ayurveda
9.5 Testing
9.6 Conclusions
9.7 Implications of Future Work
References
10 Effectiveness of Digital Elevation Models in Morphometric analysis Using Remote sensing and GIS Approach for Smart Society
10.1 Introduction
10.2 Study Area
10.3 Methodology
10.4 Results and Discussions
10.4.1 Extraction of Rapti Sub-Watershed Drainage Network
10.5 Linear Aspects
10.5.1 Stream Order (U)
10.5.2 Stream Length (Lu)
10.5.3 Stream Length Ratio (RL)
10.5.4 Stream Number (Nu)
10.5.5 Bifurcation Ratio (Rb)
10.6 Basin Geometry
10.6.1 Length of the Basin (Lb)
10.6.2 Basin Area (A)
10.6.3 Basin Perimeter (P)
10.6.4 Elongation Ratio (Re)
10.6.5 Form Factor (Rf)
10.7 Drainage Analysis
10.7.1 Stream Frequency (Sf)
10.7.2 Drainage Density (Dd)
10.7.3 Constant of Channel Maintenance (1/D)
10.8 Relief Characteristics
10.8.1 Ruggedness Number (Rn)
10.8.2 Relief Ratio (Rh)
10.9 Conclusions
References
11 Internet of Medical Things (IoMT) & Secured Using Steganography for Development of Smart Society 5.0
11.1 Introduction
11.2 Literature Survey
11.3 Steganography in Medical Image
11.3.1 Smart Medical Technology
11.4 Proposed Healthcare System Using Steganography and IoT
11.5 IOT in Health Care
11.6 Challenges in IOT
11.7 Artificial Intelligence in Health Care
11.8 Challenges in Healthcare System of AI
11.9 Machine Learning in Health Care
11.10 Challenges in Healthcare System of ML
11.11 Conclusion
References
12 An Enhanced Multi-channel MAC Protocol with Intelligent Sleep Scheduling Capabilities for High Lifetime Smart City Networks
12.1 Introduction
12.2 Literature Review
12.3 Proposed Hybrid Multi-channel MAC with Sleep Scheduling Capabilities (HMC-MAC-SS)
12.3.1 The Hybrid MAC Protocol
12.3.2 The Receiver-Initiated Sleep Scheduling-Based Routing Protocol
12.4 Performance Comparison and Evaluation
12.5 Research Implications
12.6 Limitations
12.7 Conclusion
12.8 Future Scope
References
13 An Analytical Approach Towards Data Stream Processing on Smart Society for Sustainable Development
13.1 Introduction
13.2 Related Work
13.3 SHCUBA Approach
13.3.1 Multiple CRA Phase
13.3.2 Binarised Window Formation Phase
13.3.3 Hash-Based Classification Phase
13.3.4 Optimising Feature Vector Instances
13.4 Experimental Set-Up and Implementation
13.5 Results and Limitations
13.6 Conclusion and Future Work
References
14 Decision Analytics Using Predictive and Prescriptive Analyses of Student's Satisfaction Towards Quality of Education for Sustainable Society in Oman
14.1 Introduction
14.1.1 Decision Analytics
14.1.2 Descriptive Modeling
14.1.3 Predictive Modeling
14.1.4 Prescriptive Modeling
14.2 Objectives of the Study
14.3 Materials and Methods
14.3.1 Sampling
14.3.2 Data Collection
14.3.3 Statistical Analysis
14.4 Results and Discussion
14.5 Conclusion
14.6 Future Research
14.7 Policy Implications
14.8 Limitations of the Study
Appendix I: Description of Variables
References
15 Why Big Data and Data Analytics
15.1 Big Data
15.1.1 Big Data—An Introduction
15.1.2 The Background of Big Data
15.1.3 Foundation Pillars of Big Data—Characteristics
15.1.4 Examples Associated to Big Data
15.1.5 Classification of Big Data
15.1.6 Big Data—Applications
15.1.7 How Big Data is Processed?
15.1.8 Importance of Big Data
15.1.9 Advantages Offered by Big Data
15.1.10 Factors That Challenge Big Data
15.2 Impact of Big Data on Smart Cities
15.2.1 Introduction
15.2.2 Smart Cities
15.2.3 Layers in Smart Cities
15.2.4 How the Big Data Can Impact Smart Cities
15.2.5 Where the Data Should Be Stored?
15.3 Big Data Analytics
15.3.1 Introduction
15.3.2 Why Big Data Analytics
15.3.3 Data Life Cycle in Big Data Analytics
15.3.4 Methodologies in Big Data Analytics
15.3.5 Core Deliverables of Big Data Analytics
15.3.6 Finding Out Stakeholders in Big Data Analytics
15.3.7 Data Analyst in Big Data Analytics
15.3.8 Data Scientist in Big data Analytics
15.4 Future Scope
15.4.1 Data Will Continue to Grow Along with Migration to Cloud
15.4.2 Growth of Machine Learning with Big Data Adoption
15.4.3 Privacy Will Be on Fire
15.5 Conclusion
References
16 Review on Opportunities and Challenges of Blockchain Technology for Tourism Industry in Future Smart Society
16.1 Introduction
16.1.1 Blockchain
16.1.2 Working of Blockchain Technology
16.1.3 Steps Followed During the Working of Blockchain Technology
16.1.4 Blockchain and Tourism
16.1.5 Tourism Demand
16.2 Literature Survey
16.3 Challenges
16.4 Discussion
16.4.1 Blockchain E-Passports for Tourism Industry
16.4.2 Robots Service as a Tool for Physical Distancing in Tourism
16.4.3 Contact Tracing
16.4.4 Possibilities for Integrating Contact Tracing with Arising Technologies
16.5 Conclusion
References
17 Smart Society 5.0 for Social and Technological Sustainability
17.1 Introduction
17.2 What is Society 5.0?
17.2.1 The Revolution: Society 4.0
17.2.2 Societal Effects of 4IR
17.2.3 The Evolution: Society 5.0
17.3 The Schema of Society 5.0
17.4 New Solutions for New Problems
17.5 Entering Society 5.0
17.5.1 Healthcare
17.5.2 Mobility
17.5.3 Infrastructure
17.5.4 Agriculture
17.5.5 Disaster Prevention and Response
17.5.6 Energy
17.6 Cybersecurity 5.0
17.6.1 Society 5G.0
17.6.2 Cyberspace
17.7 Difference Between Real Space and Cyberspace
17.8 What is the Use of Cyberspace?
17.8.1 Working of Cyberspace
17.8.2 Is Cyberspace the Same as the Internet?
17.8.3 Diversity
17.8.4 Value Creation
17.8.5 Decentralization
17.8.6 Resilience
17.8.7 Sustainability and Environmental Harmony
17.8.8 Equality and Sustainability 5.0
17.8.9 Sustainable Digital Innovations in Society 5.0
17.9 Summary
References