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

Description

This book covers sustainable development in smart society’s 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications. 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