Internet of Things in Modern Computing: Theory and Applications (Smart Technologies for Engineers and Scientists)

Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Preface
Acknowledgments
Editors
Contributors
Chapter 1: IoT architecture and design
	1.1 Introduction
		1.1.1 Challenges: IoT architecture drivers
		1.1.2 Classical IoT architecture models
			1.1.2.1 oneM2M architecture
			1.1.2.2 IoT world forum reference model
		1.1.3 Emerging IoT architecture models
		1.1.4 Conclusion
	References
Chapter 2: Application of Artificial Intelligence (AI) and the Internet of Things (IoT) in process industries toward Industry 4.0
	2.1 Introduction
		2.1.1 1st industrial revolution
		2.1.2 2nd industrial revolution
		2.1.3 3rd industrial revolution
		2.1.4 4th industrial revolution
	2.2 Industry 4.0
		2.2.1 Need for Industry 4.0
		2.2.2 The Significance of Industry 4.0
		2.2.3 Technologies of Industry 4.0
		2.2.4 Nine components that are bringing about the transformation to Industry 4.0
			2.2.4.1 Cloud computing
			2.2.4.2 Big data
			2.2.4.3 The Internet of Things
			2.2.4.4 Augmented reality
			2.2.4.5 System integration: horizontal and vertical system integration
			2.2.4.6 Cybersecurity
			2.2.4.7 Simulation
			2.2.4.8 Autonomous robot
			2.2.4.9 Additive manufacturing
		2.2.5 Issues and challenges faced by Industry 4.0
	2.3 Artificial intelligence
		2.3.1 Artificial Intelligence: a brief history
		2.3.2 Approach of Artificial Intelligence in Industry 4.0
		2.3.3 Key elements in Industrial AI
		2.3.4 Industrial AI ecosystem
		2.3.5 Limitations of industrial Artificial Intelligence
	2.4 Examples
		2.4.1 Automotive
			2.4.1.1 Description
		2.4.2 Food and beverage
			2.4.2.1 Description
		2.4.3 Medical equipment
			2.4.3.1 Description
	2.5 Conclusion
	Acknowledgements
	References
Chapter 3: A review on edge computing: Working, comparisons, benefits, vision, instances and illustrations along with challenges
	3.1 Introduction
	3.2 Literature review
	3.3 The working of edge computing
	3.4 Comparison—edge computing, cloud computing and fog computing
	3.5 The benefits of edge computing
	3.6 Instances and illustrations of edge computing
	3.7 Edge maintenance
	3.8 Opportunities for 5G, IoT with edge computing
	3.9 Challenges of edge computing
	3.10 Conclusion
	References
Chapter 4: Industrial Internet of Things: IoT and Industry 4.0
	4.1 Introduction
	4.2 Streamlined work
	4.3 Internet of Things
	4.4 The Industrial Internet of Things
	4.5 Industry 4.0
	4.6 Key technologies for the Industrial Internet of Things
		4.6.1 Blockchain technology
		4.6.2 Cloud computing
		4.6.3 Artificial intelligence and cyber physical systems
	4.7 Intelligent manufacturing in the context of Industry 4.0
	4.8 Open research issues
	4.9 Application domains
		4.9.1 Healthcare
		4.9.2 Smart cities
		4.9.3 Smart environments
		4.9.4 Industry
	4.10 Challenges
	4.11 Conclusion
	References
Chapter 5: Denial of Service Attacks in the Internet of Things
	5.1 Introduction
	5.2 IoT architecture
	5.3 Categorization of security issues
	5.4 Security issues of the lower layers
	5.5 Security issues of the intermediate levels
	5.6 Security issues of the higher levels
	5.7 Mitigation strategies at various levels of IoT devices
	5.8 Distributed Denial of Service (DDoS) attack
	5.9 DDoS attack mitigation strategies
	5.10 Research gap
	5.11 Fuzzy-Neural Network-based cross-layer DoS attack detection framework
	5.12 Conclusion
	5.13 Future work
	References
Chapter 6: Extending the Unified Theory of Acceptance and use of technology model to understand the trainees’ acceptance and usage of Internet of Things (IoT) by skill development course
	6.1 Introduction
	6.2 Theoretical background and hypothesis
	6.3 Performance expectancy
	6.4 Effort expectancy
	6.5 Social influence
	6.6 Computer self-efficacy
	6.7 Relative advantage
	6.8 Facilitating conditions
	6.9 Behavior intention and actual usage
	6.10 Research methodology
	6.11 Measurement
	6.12 Data analysis and research findings
		6.12.1 Descriptive analysis
		6.12.2 Measurement model
		6.12.3 Structural model
	6.13 Discussion and conclusion
	References
Chapter 7: Intelligent approaches for disease detection and prevention
	7.1 Introduction
	7.2 Artificial intelligence, Internet of Things, and blockchain technology
		7.2.1 Artificial intelligence
		7.2.2 Machine learning
		7.2.3 Internet of Things
		7.2.4 Blockchain technology
	7.3 Detection, prevention and treatment of disease
		7.3.1 Diabetes mellitus
		7.3.2 Cardiovascular Disease (CVD)
		7.3.3 Chronic Kidney Disease (CKD)
		7.3.4 Coronavirus disease (COVID-19)
	7.4 Conclusion
	References
Chapter 8: Interoperability in IoT-driven smart buildings: Employing Rule-based decision support systems
	8.1 Introduction: background and driving forces
	8.2 The necessity of decision support inbuilding energy subsystems
	8.3 Decision support model for BEMS
	8.4 Opportunities and challenges for BEMS interoperability
	8.5 Conclusion and future scope
	References
Chapter 9: IoT-based parking system using Web-App
	9.1 Introduction
	9.2 Material and methods
	9.3 Result and discussion
	9.4 Conclusion
	References
Chapter 10: A next-gen IoT-based semi-automatic mobile manipulator
	10.1 Introduction
		10.1.1 Classification of mobile robots
		10.1.2 Mobile base robotic manipulator
		10.1.3 IoT-based robotic manipulator
	10.2 Design of the proposed semi-automatic robot manipulator
	10.3 Proposed model
		10.3.1 Denavit-Hartenberg parameters
		10.3.2 Frame Assignment for D-H Parameter Calculation
	10.4 Robot control
		10.4.1 Joint space control
		10.4.2 Task space control
		10.4.3 Robotic arm simulation using MATLAB GUI
	10.5 Hardware Implementation
	10.6 Conclusion and future scope
	References
Chapter 11: Pest identification and classification using IoT enable technique
	11.1 Introduction
	11.2 Literature survey
		11.2.1 Related works
		11.2.2 Problem statement
	11.3 A novel deep learning framework for IoT-enabled pest identification and classification
		11.3.1 Proposed architecture and description
		11.3.2 IoT-enabled pest detection and smart agriculture
	11.4 Conclusion
	References
Chapter 12: Framework for leveraging diagnostic and vehicle data with emphasis on automotive cybersecurity
	12.1 Introduction
	12.2 Framework
	12.3 Applications and features of the framework
	12.4 Conclusion
	References
Chapter 13: An array of Fibonacci series-based wide-band printed antennas for IoT/5G applications
	13.1 Introduction
	13.2 Proposed single antenna
		13.2.1 Formation of the proposed geometry
		13.2.2 Depiction of single antenna
		13.2.3 Contour length and surface area computation
		13.2.4 Time domain analysis
	13.3 Proposed array
		13.3.1 Construction of power divider network
		13.3.2 Development of array
		13.3.3 Benefits of the Wilkinson power divider
	13.4 Results and discussion
	13.5 Conclusion
	Acknowledgement
	References
Chapter 14: Deep learning IoT platform for dental disease detection
	14.1 Introduction
	14.2 Literature survey
	14.3 Suggested design
		14.3.1 YOLO object detection interpretation
	14.4 Overall network structure
	14.5 Results and discussion
		14.5.1 Performance measure
		14.5.2 IoU (Intersection Over Union)
		14.5.3 Precision and recall curve
			14.5.3.1 Analysis of bounding boxes using histogram
			14.5.3.2 Analysis of bounding boxes using different type pf graphs
			14.5.3.3 Metrics analysis
	14.6 Conclusion
	References
Index