IoT and Cloud Computing for Societal Good (EAI/Springer Innovations in Communication and Computing)

This book gathers the state-of-the-art for industrial application of scientific and practical research in the Cloud and IoT paradigms to benefit society. The book first aims to discuss and outline various aspects of tackling climate change. The authors then discuss how Cloud and IoT can help for digital health and learning from industrial aspects. The next part of book discusses technical improvements in the fields of security and privacy. The book also covers Smart Homes and IoT in agriculture. The book is targeted towards advancing undergraduate, graduate, and post graduate students, researchers, academicians, policymakers, various government officials, NGOs, and industry research professionals who are currently working in the field of science and technology either directly or indirectly to benefit common masses. Presents the latest developments in Cloud computing and Internet of Things and how they can be used for societal advancement; Establishes links between interdisciplinary areas where IoT and Cloud both play a key role for improving process and related application; Provides insights of non-IT related models for improvement in lives of the general public Preface Technical Programme Committee Editorial Advisory Board Contents About the Editors Part I Tackling Climate Change 1 Towards Energy Efficient Cloud Computing: Research Directions and Methodological Approach 1.1 Introduction 1.2 Background Motivation 1.3 Power Consumption and Energy Efficient Dynamic VM Consolidation 1.4 Defining Objective and Setting Research Questions 1.5 Methodological Approach 1.6 Conclusion References 2 IoT-Based Smart Air Quality Control System: Prevention to COVID-19 2.1 Introduction 2.1.1 Motivation 2.1.2 Contribution 2.1.3 Organization 2.2 Related Work 2.3 Proposed Model 2.4 Results and Discussion 2.5 Conclusion and Future Scope References 3 Forecasting of Air Pollution via a Low-Cost IoT-Based Monitoring System 3.1 Introduction 3.2 Related Work 3.3 Methodology 3.3.1 Data 3.3.2 Models 3.3.3 Model Calibration 3.4 Result 3.5 Discussion and Future Work References 4 Internet of Things Based Best Fruit Segregation and Taxonomy System for Smart Agriculture 4.1 Introduction 4.2 Literature Review 4.3 Methodology 4.4 Software/Hardware Tool Used 4.4.1 Software Part 4.4.2 Hardware Part 4.5 Design and Implementation 4.5.1 Background Separation of Image 4.5.2 Calculating the Center of Blob 4.5.3 Calculating Black Dots 4.5.4 Fourier Transform 4.6 Conclusion References 5 Toward the Creation of a Web-Based Platform “Bike Sharing” in the Local Transport System 5.1 General Formulation of the Problem 5.2 Analysis of Recent Research and Publications 5.3 Selection of Previously Unsolved Parts of the Overall Problem 5.4 Statement of Research Tasks 5.5 Material and Research Results 5.6 Conclusions References Part II Digital Health, Learning and Industry 6 A Survey of Societal Applications of IOT 6.1 Introduction 6.2 Motivation 6.3 IOT 6.4 Trends in the Internet of Things 6.5 Comparison with the Existing System 6.6 Agriculture Applications of IoT 6.6.1 Monitoring of Irrigation in Agriculture with IoT 6.6.2 Smart Agriculture 6.6.3 Intelligent Irrigation 6.6.4 Automated Weather Report Causation for Smart Irrigation 6.6.5 IoT Based Disease Analysis in Agriculture 6.6.6 Flood Prevention Using IoT 6.7 Healthcare Applications of IoT 6.7.1 IoT in Healthcare 6.7.2 Challenges in Health Care with IoT 6.7.3 Multidisciplinary Health Care System 6.7.4 Survey on Internet of Things Based on Health Care 6.7.5 IoT Incorporate Attention Monitoring to Intercept Incursion 6.7.6 IoT Based Healthcare with Body Sensor Network (BSN) 6.8 IoT in Military 6.8.1 Smart Sniper with IoT 6.8.2 Military Applications in Smart City with IoT 6.8.3 IoT Based Military Federation 6.8.4 Fault Tolerant Techniques on the Internet of Military Things 6.8.5 IoT Based Military Applications 6.9 IoT in Railways 6.10 Smart Train Detector Using IoT Approach 6.11 IoT in Smart Cities 6.12 Smart Home 6.12.1 Energy Competent Home Automation Using IoT 6.12.2 Home Gadgets Control with IoT 6.12.3 Performance Analysis on Wireless Smart Home Automation 6.13 Industrial IoT 6.13.1 The Internet of Robotic Things 6.14 Recognition Proficiency 6.15 Fluctuation Proficiency 6.16 Conclusion References 7 Simplify the Difficult: Artificial Intelligence and Cloud Computing in Healthcare 7.1 Introduction 7.2 Motivation 7.3 Cloud Computing 7.3.1 Software as a Service (SaaS) 7.3.2 Platform as a Service (PaaS) 7.3.3 Infrastructure as a Service (IaaS) 7.3.4 Internet of Things (IoT) 7.4 Artificial Intelligence Tools 7.4.1 Neuron 7.4.2 Neural Networks 7.4.2.1 Deep Neural Network 7.4.2.2 Natural Language Processing 7.4.2.3 Recurrent Neural Networks (RNN) 7.4.2.4 Convolutional Neural Network (CNN) 7.5 Application Areas 7.5.1 Information Tools 7.5.1.1 Applications in Health Care Administration 7.5.1.2 Cloud Computing Systems for Healthcare Management 7.5.1.3 Health Monitoring with IoT 7.5.2 Disease Management 7.5.2.1 Diabetes Management Through Artificial Intelligence 7.5.2.2 Monitoring Mental Health Through IoT 7.5.3 Preemptive Measures 7.5.3.1 Early Detection Through Biomarkers 7.5.3.2 Diagnosis Through Image Recognition 7.5.4 Pathological Diagnosis 7.5.4.1 Rheumatoid Arthritis 7.5.4.2 Epileptic Seizures 7.5.4.3 Alzheimer's Disease 7.5.4.4 Diabetic Retinopathy 7.5.4.5 Breast Cancer 7.5.4.6 Obstructive Lung Disease 7.5.4.7 Cardiovascular Diseases (CVDs) 7.5.5 Applications in Mental Healthcare 7.5.5.1 Mental Health Detection Through Sentimental Analysis on Tweets 7.5.5.2 Suicide Prevention 7.6 Current Limitations 7.7 Conclusions and Future Prospects References 8 NOS Personal Assistant to Engage Elderly People withSmart Home 8.1 Introduction 8.2 Background 8.2.1 Internet of Things 8.2.2 Ambient Assisted Living Market 8.2.3 Natural Interfaces Landscape 8.3 NOS Technology 8.3.1 The Challenges of NOS Personal Assistant 8.3.2 The Overall Solution 8.3.3 A Bottom-Up Approach 8.4 Future Research and Innovation Directions 8.5 Conclusion References 9 Digital Technologies Changing the Landscape of Corporate Learning and Development 9.1 Introduction 9.1.1 Rise of Digital Learning 9.2 Digital Learning Framework 9.2.1 Start with the End in Mind 9.2.2 Assess the Digital Fluency of Your Target Audience 9.2.3 Design the Content 9.2.4 Select Appropriate Digital Learning Platforms and Tools 9.2.5 Implement the Digital Learning Program 9.2.6 Measure the Impact and Foster Continuous Improvement 9.3 Creating the Culture of Learning 9.4 Upskilling L&D Personnel 9.5 Conclusion References 10 An Assessment of the Behavioral Intention of Generation Z Toward the Adoption of Digital Learning Applications 10.1 Introduction 10.2 Literature Review 10.2.1 Digital Learning 10.2.2 Internet of Things (IoT) and Cloud Computing 10.2.3 Digital Learning App 10.2.4 Actual Use (AU) 10.2.5 Behavioral Intention to Use (BITU) 10.2.6 Attitude Toward Use (ATU) 10.2.7 Perceived Usefulness (PU) 10.2.8 Perceived Ease of Use (PEOU) 10.2.9 Utility, Learning, and Perceived Usefulness 10.2.10 Student Engagement and Perceived Usefulness 10.2.11 Data Security and Perceived Usefulness 10.2.12 Feedback and Rating and Perceived Usefulness 10.2.13 Accessibility and Perceived Usefulness 10.2.14 User Interface and Perceived Usefulness 10.2.15 Entertainment and Perceived Ease of Use 10.2.16 Accessibility and Perceived Ease of Use 10.2.17 User Interface and Perceived Ease of Use 10.2.18 Exiting TAM Models 10.3 Research Methodology 10.4 Data Analysis and Interpretation 10.4.1 Sample Characteristics and Distributions (N == 490) 10.4.2 Measurement Model: Reliability and Validity 10.4.3 Structural Equation Model 10.5 Discussion 10.6 Practical Implications 10.7 Theoretical Implications 10.8 Conclusion References 11 A Literature Review on Lean Manufacturing in the Industry 4.0: From Integrated Systems to IoT and Smart Factories 11.1 Introduction 11.2 The Term Industry 4.0 11.3 From Integrated System to IoT 11.4 Smart Factory: Future of Automated Production 11.5 Industry 4.0 Characteristics 11.6 Enabling Technologies of Industry 4.0 11.6.1 Big Data and Analytics 11.6.2 Industrial Cloud and Cloud Computing 11.6.3 Internet of Things (IoT) 11.6.4 Augmented Reality 11.6.5 Simulation 11.6.6 Autonomous Robot 11.6.7 Horizontal and Vertical Integration 11.6.8 Additive Manufacturing 11.6.9 Cybersecurity 11.7 Conclusions References Part III Improving the Technology 12 Multimodal Feature Analysis for Precise Human Hand Gesture Recognition 12.1 Introduction and Background 12.2 Multimodal Feature Analysis for Gesture Recognition 12.2.1 Multi-model Feature Extraction 12.2.2 Multi-model Feature Recognition 12.3 Results and Discussion 12.3.1 Success Ratio 12.3.2 Recognition Time 12.4 Conclusion References 13 Calculating the Optimal Frequency of Maintenance for the Improvement of Risk Management: Plausible Models for the Integration of Cloud and IoT 13.1 Introduction 13.2 Variables Used in the Maintenance Frequency Optimization Process 13.2.1 Reliability and Risk 13.2.2 Operational Costs 13.2.3 Loss of Performance 13.2.4 Extension of Equipment Life 13.3 Mathematical Models Used for Preventive Replacement 13.3.1 Optimal Replacement Model with Use 13.3.2 Optimal Interval of Preventive Replacement 13.4 Case Study 13.5 Conclusions References 14 Interceptor Pattern-Based Middleware for IoT Protocol Interoperability 14.1 Introduction 14.2 Related Works 14.3 Related Works 14.4 Related Works 14.5 Specific Use Case 14.6 Test Results and Discussion 14.7 Conclusions References 15 Mining Active Influential Nodes for Finding Information Diffusion in Social Networks 15.1 Introduction 15.2 Literature Review 15.2.1 Influential Nodes Identification in Static Network 15.2.2 Influential Nodes Identification in Dynamic/Temporal Networks 15.2.3 Research Problem 15.3 Active Influential Node Miner (AINM) 15.3.1 Activeness Value Estimator 15.3.2 Edge Activation Probability Initializer 15.3.3 Ant Behavior Based Algorithm 15.4 Experimental Results and Discussion 15.5 Conclusion and Future Work References Part IV Security and Privacy 16 Enhancing Security in IoT Instruments Using ArtificialIntelligence 16.1 Introduction 16.2 Background 16.3 Literature Survey 16.4 Proposed Work 16.5 Analysis of the Work 16.6 Conclusion References 17 Cyber-Attacks on Internet of Things (IoT) Devices, Attack Vectors, and Remedies: A Position Paper 17.1 Introduction 17.2 IoT Classification 17.3 Threat Landscape in IoT Environment 17.4 Major IoT Attacks in the Wild 17.5 Remedies/Best Practices 17.6 Conclusion References 18 Privacy-Secure Link Utilization Routing Algorithm (PSLU) for Improving Performance in IoT and Cloud Computing 18.1 Introduction 18.2 Literature Survey 18.3 Proposed Work 18.3.1 Optimized Disable Path (ODP) Algorithm 18.3.2 Privacy-Secure Link Utilization (PSLU) Algorithm 18.4 Simulation Results and Performance Analysis 18.5 Conclusion References 19 A Smart Home Appliances Controlling Application (HACA-App) with Highly Secretive System 19.1 Introduction 19.2 Literature Review 19.3 Operational Framework of HACA-App 19.4 System Design 19.4.1 System Hardware Design 19.4.2 System Software Design 19.5 Application Design 19.6 Conclusion References Index