A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems

Contents
1 IoT for Better Mobile Health Applications
	1.1 Introduction
	1.2 Literature Survey
	1.3 Integrating IoT with Mobile Health
		1.3.1 Appointment Reminders
		1.3.2 Telemedicine
		1.3.3 Monitoring and Empowerment
	1.4 A Proposed Model for Diabetes Self-management
	1.5 Discussions
		1.5.1 Feasibility of Implementation
		1.5.2 Privacy and Confidentiality
	1.6 Future Insights
	1.7 Conclusions
	References
2 Energy Efficient Hybrid IoT System for Ambient Living
	2.1 Introduction
		2.1.1 What Is IoT?
		2.1.2 History of IoT
		2.1.3 Energy Efficiency Using IoT
	2.2 IoT Protocols and Standards
		2.2.1 IoT Protocols
		2.2.2 Importance of Different IoT Protocols
	2.3 IoT in Smart Living
		2.3.1 Features of IoT Based Smart Living
		2.3.2 IoT Based Smart Products for Ambient Living
	2.4 State of the Art in IoT Technologies for Ambient Living
	2.5 Future Direction for Ambient Assisted Living
		2.5.1 Case Study: Smart Geysers
	2.6 Conclusion
	References
3 Analysis of Agriculture Production and Impacts of Climate Change in South Asian Region: A Concern Related with Healthcare 4.0 Using ML and Sensors
	3.1 Introduction
		3.1.1 Problem Introduction
		3.1.2 Key Areas of Our Concerns
	3.2 Literature Survey and Related Previous Work
		3.2.1 The Naïve Bayes
		3.2.2 The Neural Network
		3.2.3 Gist of Literature Survey
	3.3 System Design and Methodology
		3.3.1 System Design
		3.3.2 System Architecture/Diagrammatical View
	3.4 Implementation and Results
		3.4.1 Software and Hardware Requirements
		3.4.2 Assumptions and Dependencies
		3.4.3 Implementation Details
	3.5 Conclusion
		3.5.1 Performance Evaluation
		3.5.2 Future Directions and Limitations
	Appendix
	References
4 Block Chain Application in Automobile Registration: A Novel Approach for Sustainable Smart Cities with Industry 4.0
	4.1 Introduction
		4.1.1 Concept of Smart Cities
		4.1.2 Problem of Car Registration and Motivation
		4.1.3 5-G Technology and Its Implications
		4.1.4 IoT and Its Applications in Transportation
		4.1.5 Usage of AI, ML in IoT and Blockchain
	4.2 Related Work
		4.2.1 Carchain
		4.2.2 Fabcar IBM Blockchain
		4.2.3 Blockchain and Future of Automobiles
		4.2.4 Significance of 5-G Technology
	4.3 Presented Methodology
	4.4 Software Requirement Specification
		4.4.1 Product Perspective
		4.4.2 System Interfaces
		4.4.3 Interfaces (Hardware and Software and Communication)
		4.4.4 Operations (Product Functions, User Characteristics)
		4.4.5 Use Case, Sequence Diagram
		4.4.6 System Design
	4.5 Software and Hardware Requirements
		4.5.1 Software Requirements
		4.5.2 Hardware Requirements
	4.6 Implementation Details
	4.7 Results and Discussions
	4.8 Novelty and Recommendations
	4.9 Future Research Directions
	4.10 Limitations
	4.11 Conclusions
	References
5 Nonparametric Test for Change-Point Detection of IoT Time-Series Data
	5.1 Introduction
	5.2 Nonparametric Test for Absolutely Continuous Distribution Functions
	5.3 Numerical Experiments
	5.4 Results and Discussion
	5.5 Conclusion
	References
6 Internet of Things (IoT) and Vocabulary Learning in the English Language
	6.1 Introduction
	6.2 Internet of Things (IoT) and Education
	6.3 Survey of Literature
	6.4 Significance of the Study
	6.5 Research Objectives
	6.6 Research Questions
	6.7 Research Methodology
		6.7.1 Sample and Sample Size of the Research Study
	6.8 Discussion of the Study
		6.8.1 Interactive Whiteboard
		6.8.2 E-books
		6.8.3 Tablets and Mobile Devices
		6.8.4 Web-Recording
	6.9 Conclusion
	References
7 Clustering Based Energy Load Analysis Model (CBELAM) in Wireless Sensor Networks
	7.1 Introduction
	7.2 Literature Survey
	7.3 Research Methodology
		7.3.1 Cluster-Based Energy Load Analysis Model
		7.3.2 Energy Model
		7.3.3 Load Analysis Model
	7.4 Performance Analysis
	7.5 Conclusion
	References
8 A Novel Implementation of Linux Based Android Platform for Client and Server
	8.1 Introduction
	8.2 Proposed Work
		8.2.1 Assaulting and Anticipation Stage on the Android Cell Phone
		8.2.2 Attack on Android Telephone Utilising Metasploit
	8.3 Results
		8.3.1 Performance Measures
		8.3.2 Code Linux
	8.4 Conclusion
	References
9 Recognizing Unusual Activity with the Deep Learning Perspective in Crowd Segment
	9.1 Introduction
	9.2 Background and Key Issues
		9.2.1 Macroscopic Modeling
		9.2.2 Microscopic Modeling
		9.2.3 Tracking of Pedestrians in Video Sequences
	9.3 Proposed Methodology
		9.3.1 Control Flow Model
		9.3.2 Area-Wise Approach
		9.3.3 Active-Counter-Based-Approach
		9.3.4 Model-Based-Approach
		9.3.5 Direct-Approach
		9.3.6 Indirect-Approach
		9.3.7 Behavior-Label-Distribution Algorithm
	9.4 Analysis and Result
		9.4.1 Dataset Usage
		9.4.2 Results of Abnormal Activity Detection
	9.5 Conclusion and Future Enhancement
	9.6 Future Work
	References
10 Implementation of Robust Privacy-Preserving Machine Learning with Intrusion Detection and Cybersecurity Protection Mechanism
	10.1 Introduction
	10.2 Literature Survey
		10.2.1 Malware Deduction
		10.2.2 Junk Code Insertion Attacks:
		10.2.3 Feasibility Study
		10.2.4 Technical Feasibility
		10.2.5 Budgetary Feasibility
		10.2.6 Operational Feasibility
		10.2.7 Easy to Understand
		10.2.8 Unflinching Quality
		10.2.9 Security
	10.3 Methodology
	10.4 Conclusion
	References
11 An Optimal Hybrid Solution to Local and Global Facial Recognition Through Machine Learning
	11.1 Introduction
		11.1.1 Problem Statement
	11.2 Literature Review
	11.3 Face Recognition Techniques
	11.4 Eigenfaces
	11.5 Neural Networks
	11.6 Geometrical Feature Matching
		11.6.1 Fisher Faces
		11.6.2 Template Matching
		11.6.3 Morphable Model
	11.7 Support Vector Machine (SVM)
		11.7.1 Harris Corner
	11.8 Speeded-Up Robust Features (SURF)
	11.9 Independent Component Analysis (ICA)
	11.10 Results
	11.11 Experimental Results
	11.12 Conclusion
	References
12 Machine Learning Based Online Handwritten Telugu Letters Recognition for Different Domains
	12.1 Introduction
	12.2 Methodology
		12.2.1 Requirements
		12.2.2 Data Investigation
		12.2.3 Convolution Neural Network Algorithm
		12.2.4 Data Pre-processing
		12.2.5 Model Evaluation and Validation
	12.3 Conclusion
		12.3.1 Future Work
	References
13 Mutation Testing and Web Applications—A Test Driven Development Approach for Web Applications Built with Java Script
	13.1 Introduction
	13.2 Existing Work
	13.3 Mutation Operators and Their Importance
		13.3.1 Comprehensive Mutation Test Suite
	13.4 Mutation Testing Tools
	13.5 Results and Discussion
	13.6 Conclusion
		13.6.1 Future Enhancements
	References
14 Recommending Products Based on Visual Similarity Using Machine Learning
	14.1 Introduction
	14.2 Related Work
	14.3 Visual Similarity Based Product Recommendation Using Machine Learning
	14.4 Challenges
	14.5 Research Directives
	14.6 Conclusion
	References
15 AIIOT: Emerging IoT with AI Technologies
	15.1 Introduction
		15.1.1 Architecture of IoT
		15.1.2 Network Layer
		15.1.3 Service Layer
		15.1.4 Interface Layer
	15.2 Advantages of IoT
		15.2.1 Efficiency of Decision Making
		15.2.2 Good Maintenance or Predictive Maintenance
		15.2.3 Timesaving
		15.2.4 Analysation of Data
		15.2.5 Safety and Security of a Manufacturing Plant
	15.3 Challenges in IoT
	15.4 Literature Review
	15.5 Applications of IoT
		15.5.1 Smart Governance
		15.5.2 Smart Homes with IoT
		15.5.3 Fastags with IoT
		15.5.4 Connected Cars
		15.5.5 Agricultural Drone
		15.5.6 Smart Grid
		15.5.7 IoT in Military Field
	15.6 Intrusion Detection in IoT
	15.7 Role of Artificial Intelligence in IoT
		15.7.1 Artificial Intelligence in Industrial IoT
		15.7.2 Increasing Operational Efficiency
		15.7.3 Enhancing Risk Management
		15.7.4 Voice Assistant
		15.7.5 Cyber-Physical System
		15.7.6 Artificial Intelligence and IoT CPS
		15.7.7 Cognitive AI and IoT CPS System
	15.8 AI Using IoT Devices for Security Additions
		15.8.1 Network-Based Solution
		15.8.2 Device-Based Solution
	15.9 Conclusion
	15.10 Future Work
	References
16 Smart HR Competencies and Their Applications in Industry 4.0
	16.1 Introduction
	16.2 Smart HR 4.0 Advantages, Learnings and Transformations
		16.2.1 Management Practices
		16.2.2 Impact of Smart HR on the Industry
	16.3 Smart HR for Growth and Development
	16.4 Implementations and Scope of Research in Industry 4.0
		16.4.1 Research Scope and Agendas
		16.4.2 Implementations of Industry 4.0
	16.5 Enhancement and Digitalization of HRM
	16.6 Summary
	References
17 Ensuring Security of Digital Voting Through Blockchain Technology
	17.1 Introduction
		17.1.1 Blockchain Environment
	17.2 Uses of Blockchain in Different Areas
	17.3 Voting Through Blockchain Technology: Motivation
	17.4 Implementation
		17.4.1 Use-Cases and Requirements
		17.4.2 Proposed Design
	17.5 Conclusion
	References
18 A Study on Interaction Effect of Demographic Variables on Customer Satisfaction Towards Organized Retailing
	18.1 Introduction
		18.1.1 Demographic Variables and Customer Satisfaction
	18.2 Review of Literature
		18.2.1 Research Gap
		18.2.2 Objectives of the Study
	18.3 Research Methodology
		18.3.1 Analysis and Interpretation of Results
		18.3.2 Comparison of Customer Satisfaction Concerning Different Attributes of Organized Retail Marketing Based on Age
		18.3.3 Homogeneous Subsets
		18.3.4 Comparison of Customer Satisfaction Concerning Different Attributes of Organized Retail Marketing Based on Gender
		18.3.5 Comparison of Customer Satisfaction Concerning Different Attributes of Organized Retail Marketing Based on Marital Status
		18.3.6 Comparison of Customer Satisfaction Concerning Different Attributes of Organized Retail Marketing Based on Education Qualifications
		18.3.7 Homogeneous Subsets
		18.3.8 Comparison of Customer Satisfaction Concerning Different Attributes of Organized Retail Marketing Based on Occupation
		18.3.9 Comparison of Customer Satisfaction Concerning Different Attributes of Organized Retail Marketing Based on Income
	18.4 Conclusion
	References
19 Challenges in the Adaptation of IoT Technology
	19.1 Overview of IoT
	19.2 Major Challenges in IoT
		19.2.1 Privacy
		19.2.2 Security
		19.2.3 Cost Factor
		19.2.4 Interoperability
		19.2.5 Bandwidth
		19.2.6 Legal, Regulatory, and Rights
		19.2.7 Emerging Economy and Development Issues
	19.3 Applications and Services of IoT in Smart Environments
		19.3.1 Real Time Data Circulation
		19.3.2 Economical Infrastructure
		19.3.3 Performance
		19.3.4 Opportunities to New Industrial Model
	19.4 Challenges of IoT with Respect to Various Smart Environments
		19.4.1 Agronomy
		19.4.2 Smart Healthcare
		19.4.3 Smart Education
		19.4.4 Smart Manufacturing
		19.4.5 Smart Grid
		19.4.6 Smart City
	19.5 Blockchain as a Solution
	19.6 COVID-19 and IoT
		19.6.1 Telemedicine and IoT
		19.6.2 E-commerce and IoT
		19.6.3 Work from Home and IoT
		19.6.4 Blockchain and IoT
	19.7 Conclusion
	References
20 EEG Signals Based Choice Classification for Neuromarketing Applications
	20.1 Introduction
	20.2 EEG Signal Indices
		20.2.1 Valence
		20.2.2 Choice Index
		20.2.3 Effort Index
		20.2.4 AW Index
		20.2.5 Task Engagement Index
	20.3 Neuromarketing
		20.3.1 Ethical Considerations in Neuromarketing
	20.4 EEG Based Choice Detection System
		20.4.1 The Cognitive Choice Correlations
	20.5 Choice Classification Techniques
	20.6 Forecasting Choice Features
		20.6.1 Transient Behaviors as Features
		20.6.2 P300
		20.6.3 N200
		20.6.4 N400
		20.6.5 Brainwaves as Features
	20.7 Conclusions and Future Recommendations
	References
21 A Study on Artificial Intelligence for Economic Renaissance in India
	21.1 Introduction
		21.1.1 State of Artificial Intelligence in the World
	21.2 Literature Survey
		21.2.1 AI Potentiality to Progress India
		21.2.2 Universities
		21.2.3 Startups
		21.2.4 Large Companies
		21.2.5 Policymakers
		21.2.6 Multi-Stakeholders Partnerships
		21.2.7 AI Adoption Policies in India
	21.3 Methodology
		21.3.1 Impact of Artificial Intelligence on the Indian Economy in Select Industries
		21.3.2 Barriers to Adopt AI Technologies in India
		21.3.3 Challenges for Adoption of AI Technologies in India
		21.3.4 Way Out to Overcome Challenges
	21.4 Conclusion
	References
22 A Review of Resource Allocation and Management Methods in IoT
	22.1 Introduction
		22.1.1 Motivation
		22.1.2 Organization
	22.2 Cloud, Fog and Edge Computing Systems
	22.3 Resource Management in IoT Systems
		22.3.1 Resource Allocation Approaches in IoT Systems
		22.3.2 Comparison of Resource Allocation Approaches in IoT
	22.4 Open Problems
	22.5 Conclusion
	References
23 An Empirical Evaluation of Artificial Intelligence Algorithm for Hand Posture Classification
	23.1 Introduction
	23.2 Literature Review
	23.3 Classifiers
		23.3.1 Decision Tree
		23.3.2 Discriminant Analysis
		23.3.3 Support Vector Machine
		23.3.4 K-Nearest Neighborhood
		23.3.5 Ensemble
	23.4 Dataset
	23.5 Analysis and Results
	23.6 Conclusion and Future Work
	References
24 Framework for Mid-Air Traffic Collision Detection Using Data Analytics
	24.1 Introduction
		24.1.1 Research Work Description
		24.1.2 Research Significance
	24.2 System Description
		24.2.1 Data Acquisition
		24.2.2 The Safety Toolkit
		24.2.3 The Reporting
		24.2.4 The Client/Pilot
	24.3 Methodology
		24.3.1 Developing the Proximity Algorithm
	24.4 Results and Discussion
	24.5 Conclusion and Future Works
	References