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• Cover
• Half Title
• Title Page
• Copyright Page
• Contents
• Editor Biographies
• List of Contributors
• Chapter 1: VANET-Based Intelligent Traffic Light Control System by Detecting Congestion Using Fuzzy C-Means Clustering Technique in a Smart City
• 1.1 Introduction
• 1.2 Literature Review
• 1.3 Proposed Method
• 1.3.1 Parameter Extraction
• 1.3.2 Clustering Algorithm for Congestion Detection
• 1.3.3 Labview for Traffic Light Operation
• 1.4 Model Description
• 1.5 System Implementation
• 1.5.1 Software Section
• 1.5.2 Hardware Section
• 1.6 Experimental Results and Observations
• 1.7 Conclusion
• References
• Chapter 2: Internet of Things Advancements in Healthcare
• 2.1 Introduction to IoT in Healthcare
• 2.1.1 Internet of Things and Healthcare
• 2.1.2 Growth of Internet of Things in Changing Data Environment
• 2.1.3 IoT Analytics in Healthcare
• 2.1.4 Future Aspects of IoT in Healthcare
• 2.1.5 Telehealth and Self-Monitoring with Mobile Applications
• 2.2 Wearable Sensors and IoT applications in Healthcare
• 2.2.1 IoT Devices and Protocols
• 2.2.2 IoT Applications in Healthcare
• 2.2.3 IoT in Home Rehabilitation
• 2.3 Conclusion
• References
• Chapter 3: IoT-Based Artificial Intelligence System in Object Detection
• 3.1 Introduction
• 3.2 Proposed Methodology
• 3.2.1 Object Detection
• 3.2.2 Comparison of Static Techniques of Object Detection
• 3.3 Object Tracking
• 3.4 Experimental Analysis
• 3.5 Conclusion
• References
• Chapter 4: A Value Parity Combination-Based Scheme for Heartbeat Sounds Protection
• 4.1 Introduction
• 4.2 Related Works
• 4.2.1 Spatial Domain Audio Watermarking Methods
• 4.2.2 Transform Domain Audio Watermarking Methods
• 4.2.3 Multi-Resolutional Domain Audio Watermarking Methods
• 4.3 Proposed Approaches
• 4.3.1 Spatial Domain
• 4.3.2 Frequency Domain
• 4.3.3 Multi-Resolution Domain
• 4.4 Experiments and Results
• 4.4.1 Performance Measurement Metrics
• 4.4.2 Application of Our Approaches in the Spatial Domain
• 4.4.3 Application of Our Approaches in the Frequency Domain
• 4.4.4 Application of Our Approaches in the Multi-Resolution Domain
• 4.4.5 Imperceptibility Tests
• 4.4.6 Robustness Test
• 4.5 Conclusion
• 4.6 Compliance with Ethical Standards
• References
• Chapter 5: Sentiment Analysis of Product Reviews Using IoT
• 5.1 Introduction
• 5.1.1 Sentiment Analysis
• 5.1.2 Sentiment Analysis Application
• 5.1.3 Different Levels of Analysis
• 5.1.4 Opinion
• 5.1.5 IoT
• 5.1.6 Machine Learning
• 5.1.7 IoT Using Machine learning
• 5.2 Related Work
• 5.3 Methodology
• 5.3.1 Dataset
• 5.3.2 IoT Device
• 5.3.3 Preprocessing of Reviews
• 5.3.4 Feature Extraction
• 5.3.5 Sentiment Analysis
• 5.3.6 Summary
• 5.4 Experiment and Results
• 5.5 Conclusions
• References
• Chapter 6: Saccadic Scan Path Predicting Using Convolutional Auto Encoders
• 6.1 Introduction
• 6.2 Related Works
• 6.3 Pre-requisites
• 6.3.1 Convolutional Auto-Encoder
• 6.4 Proposed Model
• 6.5 Experiment
• 6.6 Results and Conclusion
• References
• Chapter 7: Impact of IIOT in Future Industries: Opportunities and Challenges
• 7.1 Introduction
• 7.2 Research Efforts in Industrial IoT
• 7.3 Empowering Technologies for IoT
• 7.3.1 Internet of Things
• 7.3.2 Blockchain Technology
• 7.3.3 Cloud Computing
• 7.3.4 Big Data Analytics
• 7.3.5 Cyber Physical Systems (CPS) and Artificial Intelligence (AI)
• 7.3.6 Augmented and Virtual Reality
• 7.4 Challenges
• 7.4.1 Efficient Management Procedure for Data
• 7.4.2 Heterogeneous IoT Systems’ Collaborations
• 7.4.3 Robust and Scalable Analytical Techniques for Big Data
• 7.4.4 Trust in Industrial IoT-Based Frameworks
• 7.4.5 Wireless Technology and Protocols Coexistence with IIoT
• 7.4.6 Enabling Decentralization on the Edge
• 7.4.7 Development of IoT Specific Operating Systems
• 7.4.8 Public Safety in IIoT
• 7.5 Conclusion
• References
• Chapter 8: Privacy and Ethical Issues in Digitalization World
• 8.1 Introduction
• 8.2 Literature Review
• 8.3 Challenges in the Stream of Data Privacy
• 8.4 Ethical Issues in Data Privacy
• 8.5 Conclusion
• References
• Chapter 9: A Review on Smart Traffic Management System
• 9.1 Introduction
• 9.2 Decrease of Traffic Movement Through the Smart Signals
• 9.3 Role of IoT and Big Data in Traffic Management
• 9.4 Advantages and Disadvantages of Traffic Management System
• 9.4.1 Advantages
• 9.4.2 Disadvantages Compatibility
• 9.5 Literature review
• 9.6 Conclusion
• References
• Chapter 10: A Robust Context and Role-Based Dynamic Access Control for Distributed Healthcare Information Systems
• 10.1 Introduction
• 10.2 Related Works
• 10.2.1 Role-Based Access Control
• 10.2.2 Other Access Control Models
• 10.2.3 Role Hierarchy
• 10.3 Research Methodology
• 10.3.1 Conceptual Design
• 10.3.2 Data Collection Instruments
• 10.3.3 Validation of Data Collection Instruments
• 10.3.4 Data Collection Procedure
• 10.3.5 Procedure for Data Analysis
• 10.3.6 Setting Up the Uath Computing Environment
• 10.3.7 Systems Functional Requirement Analysis
• 10.3.8 Analysis of Existing RBAC Models
• 10.3.9 Modification of Existing RBAC Models
• 10.3.10 System Architecture and the Technical Approach to System Design
• 10.4 System Design and Architecture
• 10.4.1 The Basic RBAC System Structure
• 10.4.2 Technical Approach to System Design
• 10.4.3 Code Architecture
• 10.4.4 System Implementation
• 10.5 Results and Discussion
• 10.5.1 System Testing
• 10.5.2 Database
• 10.5.3 Relationships Between the System User Database Tables
• 10.5.4 Infusing Purpose And Context Into the System Design
• 10.5.5 Analysis of Hypotheses
• 10.5.6 Testing of Hypothesis
• 10.6 Conclusion
• References
• Chapter 11: Impact of ICT on Handicrafts Marketing in Delhi NCR Region
• 11.1 Introduction
• 11.2 Information and Communication Technologies (ICT) in Handicraft
• 11.3 Uses of Information Technology for Marketing
• 11.3.1 Advertising of Handicrafts Products
• 11.4 Tools of Information Technology
• 11.5 Challenges for E-Tailing in Handicrafts Marketing
• 11.6 Conclusion
• References
• Chapter 12: Intelligent Amalgamation of Blockchain Technology with Industry 4.0 to Improve Security
• 12.1 Introduction
• 12.2 Historical Look Back of Industrial Revolution
• 12.2.1 Industry 1.0
• 12.2.2 Industry 2.0
• 12.2.3 Industry 3.0
• 12.2.4 Industry 4.0
• 12.3 Literature Review
• 12.4 Security Preferences for Industry 4.0
• 12.5 How Blockchain Caters Security to Support Industry 4.0
• 12.6 Conclusion
• References
• Chapter 13: Sensor Networks and Internet of Things in Agri-Food
• 13.1 Introduction
• 13.2 Summary
• 13.2.1 Component Level
• 13.2.2 System Level
• 13.2.3 Application Level
• 13.2.4 Design Issues and Challenges
• 13.2.5 Case Study: Sensor Networks and Iot in the Food Chain
• References
• Chapter 14: Design and Development of Hybrid Algorithms to Improve Cyber Security and Provide Securing Data Using Image Steganography with Internet of Things
• 14.1 Outline
• 14.2 Literature Review
• 14.3 Comparison Study
• 14.4 Proposed Methodology
• 14.5 Conclusion
• References
• Chapter 15: Optimal Automatic Power Generation Using Modified Hybrid Soft Computing Techniques
• 15.1 Introduction
• 15.2 Modeling of Load Frequency Control System With and Without the Effect of Dead Band
• 15.2.1 Problem Formulation
• 15.3 Overview of Soft Computing Techniques
• 15.4 Overview and Solution Methodology Using Hybrid Statistical Tracked Particle Swarm Optimization (STPSO)
• 15.4.1 Overview of Hybrid STPSO
• 15.4.2 Computational Algorithm Using Hybrid STPSO Method
• 15.5 Implementation of Benchmark Functions
• 15.5.1 Performance Evaluation
• 15.6 Implementation of Proposed Automatic Generation Control Systems
• 15.6.1 Performance Evaluation
• 15.7 Conclusion
• 15.7.1 Guide Line for Future Work
• References
• Chapter 16: Steganography and Steganalysis Using Machine Learning
• 16.1 Introduction
• 16.2 Steganography
• 16.3 Steganalysis
• 16.4 Machine Learning
• 16.5 Steganalysis Tests
• 16.6 Conclusion
• References
• Chapter 17: Gender Detection Based on Machine Learning Using Convolutional Neural Networks
• 17.1 Introduction
• 17.1.1 Problem Statement
• 17.2 Literature Survey
• 17.3 Implementation and Design
• 17.3.1 Hardware Architecture and Block Diagram
• 17.3.2 Hardware Tools
• 17.3.2.1 Raspberry Pi 4 Board
• 17.3.3 Software Architecture and Algorithm
• 17.4 Simulation Results
• 17.5 Conclusion
• References
• Chapter 18: Smart Technologies and Social Impact: An Indian Perspective of Contactless Technologies for Pandemic
• 18.1 Introduction
• 18.2 Taxonomy of Technologies
• 18.2.1 The Internet of Things
• 18.2.2 Application of Iot in Different Scenarios of Covid
• 18.2.3 Applications of Internet and Smart Technologies and their Impact on Society
• 18.2.4 Impact of COVID-19 on IoT Applications
• 18.3 Smart Tracing Technologies
• 18.3.1 Contact Tracing Technologies (Figure 18.1) – Review
• 18.3.2 Popular Applications for Contact Tracing
• 18.3.3 Outcome of Contract Tracing Applications
• 18.3.4 Popular Applications Payment System and Impact
• 18.3.5 Popular Applications for Education and Impact
• 18.4 Analysis and Social Impact
• 18.4.1 Privacy Concern
• 18.4.2 User Adoption, Etc.
• 18.5 Conclusion
• References
• Chapter 19: Agriculture-Internet of Things (A-IoT) Key Roles in Addressing Some Challenges in Agriculture
• 19.1 Introduction
• 19.2 Background and Concept of IoT
• 19.3 IoT Architecture in Agriculture
• 19.4 IoT Application or Role in Agriculture
• 19.5 Examples of Apps of Internet of Things (IoT) Used in Agriculture
• 19.6 Conclusion
• References
• Index