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

✍ Scribed by Jitendra Kumar Verma (editor), Deepak Saxena (editor), Vicente González-Prida (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 331
• Edition: 1st ed. 2022
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

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