Internet of Things in Modern Computing Theory and Applications

"The text focuses on the theory, design, and implementation of the Internet of Things in a modern communication system. It will be useful to senior undergraduate, graduate students, and researchers in diverse fields domains including electrical engineering, electronics and communications engine...

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Detalles Bibliográficos
Otros Autores:	Chowdary, Vinay, editor (editor)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Boca Raton, FL : CRC Press [2024]
Edición:	First edition
Colección:	Smart Technologies for Engineers and Scientists Series
Materias:	Internet of things.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009809021706719

Tabla de Contenidos:

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.

Internet of Things in Modern Computing Theory and Applications

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