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Submit a ProposalAmbient Intelligence and Internet of Things
 | Convergent Technologies Edited by Md Rashid Mahmood, Rohit Raja, Harpreet Kaur, Sandeep Kumar and Kapil Kumar Nagwanshi Copyright: 2023 | Status: Published ISBN: 9781119821236 | Hardcover | 418 pages | 101 illustrations Price: $225 USD  |
One Line Description
The book explores long-term implementation techniques and research paths of
ambient intelligence and the Internet of Things that meet the design and
application requirements of a variety of modern and real-time applications.
Audience
The book will appeal to researchers, industry engineers, and students in artificial and ambient intelligence, the Internet of Things, intelligent systems, electronics and communication, electronics instrumentations, and computer science.
The book will appeal to researchers, industry engineers, and students in artificial and ambient intelligence, the Internet of Things, intelligent systems, electronics and communication, electronics instrumentations, and computer science.
Description
Working environments based on the emerging technologies of ambient intelligence (AmI) and the Internet of Things (IoT) are available for current and future use in the diverse field of applications. The AmI and IoT paradigms aim to help people achieve their daily goals by augmenting physical environments using networks of distributed devices, including sensors, actuators, and computational resources. Because AmI-IoT is the convergence of numerous technologies and associated research fields, it takes significant effort to integrate them to make our lives easier. It is asserted that AmI can successfully analyze the vast amounts of contextual data obtained from such embedded sensors by employing a variety of artificial intelligence (AI) techniques and that it will transparently and proactively change the environment to conform to the requirements of the user. Over time, the long-term research goals and implementation strategies could meet the design and application needs of a wide range of modern and real-time applications.
The 13 chapters in Ambient Intelligence and Internet of Things: Convergent Technologies provide a comprehensive knowledge of the fundamental structure of innovative cutting-edge AmI and IoT technologies as well as practical applications.
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Working environments based on the emerging technologies of ambient intelligence (AmI) and the Internet of Things (IoT) are available for current and future use in the diverse field of applications. The AmI and IoT paradigms aim to help people achieve their daily goals by augmenting physical environments using networks of distributed devices, including sensors, actuators, and computational resources. Because AmI-IoT is the convergence of numerous technologies and associated research fields, it takes significant effort to integrate them to make our lives easier. It is asserted that AmI can successfully analyze the vast amounts of contextual data obtained from such embedded sensors by employing a variety of artificial intelligence (AI) techniques and that it will transparently and proactively change the environment to conform to the requirements of the user. Over time, the long-term research goals and implementation strategies could meet the design and application needs of a wide range of modern and real-time applications.
The 13 chapters in Ambient Intelligence and Internet of Things: Convergent Technologies provide a comprehensive knowledge of the fundamental structure of innovative cutting-edge AmI and IoT technologies as well as practical applications.
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Author / Editor Details
Md Rashid Mahmood, PhD, is a professor in the Department of Electronics and Communication Engineering, Guru Nanak Institutions Technical Campus, Hyderabad, India. He has published 50 research papers in international/national journals as well as 10 patents.
Md Rashid Mahmood, PhD, is a professor in the Department of Electronics and Communication Engineering, Guru Nanak Institutions Technical Campus, Hyderabad, India. He has published 50 research papers in international/national journals as well as 10 patents.
Rohit Raja, PhD, is an associate professor & Head, IT Department, Guru Ghasidas, Vishwavidyalaya, Bilaspur, (CG), India. He has published 80 research papers in international/national journals as well as 13 patents.
Harpreet Kaur, PhD, is an associate professor in the Department of Electronics and Communication Engineering, Guru Nanak Institutions Technical Campus, Hyderabad, India. Her research interests include vehicle detection and tracking in autonomous vehicles, and image processing.
Sandeep Kumar, PhD, is a professor in the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. He has published 85 research papers in international/national journals as well as 9 patents.
Kapil Kumar Nagwanshi, PhD, is an associate professor at SoS E&T, Guru Ghasidas Vishwavidyalaya, Bilaspur, India. He has published more the 25 articles in SCI and Scopus-indexed Journals, and six patents were granted. His area of interest includes AI-ML, computer vision, and IoT.
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Table of Contents
Preface
1. Ambient Intelligence and Internet of Things: An Overview
Md Rashid Mahmood, Harpreet Kaur, Manpreet Kaur, Rohit Raja and Imran Ahmed Khan
1.1 Introduction
1.2 Ambient Intelligent System
1.3 Characteristics of AmI Systems
1.4 Driving Force for Ambient Computing
1.5 Ambient Intelligence Contributing Technologies
1.6 Architecture Overview
1.7 The Internet of Things
1.8 IoT as the New Revolution
1.9 IoT Challenges
1.10 Role of Artificial Intelligence in the Internet of Things (IoT)
1.11 IoT in Various Domains
1.12 Healthcare
1.13 Home Automation
1.14 Smart City
1.15 Security
1.16 Industry
1.17 Education
1.18 Agriculture
1.19 Tourism
1.20 Environment Monitoring
1.21 Manufacturing and Retail
1.22 Logistics
1.23 Conclusion
References
2. An Overview of Internet of Things Related Protocols, Technologies, Challenges and Application
Deevesh Chaudhary and Prakash Chandra Sharma
2.1 Introduction
2.1.1 History of IoT
2.1.2 Definition of IoT
2.1.3 Characteristics of IoT
2.2 Messaging Protocols
2.2.1 Constrained Application Protocol
2.2.2 Message Queue Telemetry Transport
2.2.3 Extensible Messaging and Presence Protocol
2.2.4 Advance Message Queuing Protocol (AMQP)
2.3 Enabling Technologies
2.3.1 Wireless Sensor Network
2.3.2 Cloud Computing
2.3.3 Big Data Analytics
2.3.4 Embedded System
2.4 IoT Architecture
2.5 Applications Area
2.6 Challenges and Security Issues
2.7 Conclusion
References
3. Ambient Intelligence Health Services Using IoT
Pawan Whig, Ketan Gupta, Nasmin Jiwani and Arun Velu
3.1 Introduction
3.2 Background of AML
3.2.1 What is AML?
3.3 AmI Future
3.4 Applications of Ambient Intelligence
3.4.1 Transforming Hospitals and Enhancing Patient Care With the Help of Ambient Intelligence
3.4.2 With Technology, Life After the COVID-19 Pandemic
3.5 COVID-19
3.5.1 Prevention
3.5.2 Symptoms
3.6 Coronavirus Worldwide
3.7 Proposed Framework for COVID-19
3.8 Hardware and Software
3.8.1 Hardware
3.8.2 Heartbeat Sensor
3.8.3 Principle
3.8.4 Working
3.8.5 Temperature Sensor
3.8.6 Principle
3.8.7 Working
3.8.8 BP Sensor
3.8.9 Principle
3.8.10 Working
3.9 Mini Breadboard
3.10 Node MCU
3.11 Advantages
3.12 Conclusion
References
4. Security in Ambient Intelligence and Internet of Things
Salman Arafath Mohammed and Md Rashid Mahmood
4.1 Introduction
4.2 Research Areas
4.3 Security Threats and Requirements
4.3.1 Ad Hoc Network Security Threats and Requirements
4.3.1.1 Availability
4.3.1.2 Confidentiality
4.3.1.3 Integrity
4.3.1.4 Key Management and Authorization
4.3.2 Security Threats and Requirements Due to Sensing Capability in the Network
4.3.2.1 Availability
4.3.2.2 Confidentiality
4.3.2.3 Integrity
4.3.2.4 Key Distribution and Management
4.3.2.5 Resilience to Node Capture
4.3.3 Security Threats and Requirements in AmI and IoT Based on Sensor Network
4.3.3.1 Availability
4.3.3.2 Confidentiality
4.3.3.3 Confidentiality of Location
4.3.3.4 Integrity
4.3.3.5 Nonrepudiation
4.3.3.6 Fabrication
4.3.3.7 Intrusion Detection
4.3.3.8 Confidentiality
4.3.3.9 Trust Management
4.4 Security Threats in Existing Routing Protocols that are Designed With No Focus on Security in AmI and IoT Based on Sensor Networks
4.4.1 Infrastructureless
4.4.1.1 Dissemination-Based Routing
4.4.1.2 Context-Based Routing
4.4.2 Infrastructure-Based
4.4.2.1 Network with Fixed Infrastructure
4.4.2.2 New Routing Strategy for Wireless Sensor Networks to Ensure Source Location Privacy
4.5 Protocols Designed for Security Keeping Focus on Security at Design Time for AmI and IoT Based on Sensor Network
4.5.1 Secure Routing Algorithms
4.5.1.1 Identity-Based Encryption (I.B.E.) Scheme
4.5.1.2 Policy-Based Cryptography and Public Encryption with Keyword Search
4.5.1.3 Secure Content-Based Routing
4.5.1.4 Secure Content-Based Routing Using Local Key Management Scheme
4.5.1.5 Trust Framework Using Mobile Traces
4.5.1.6 Policy-Based Authority Evaluation Scheme
4.5.1.7 Optimized Millionaire’s Problem
4.5.1.8 Security in Military Operations
4.5.1.9 A Security Framework Application Based on Wireless Sensor Networks
4.5.1.10 Trust Evaluation Using Multifactor Method
4.5.1.11 Prevention of Spoofing Attacks
4.5.1.12 QoS Routing Protocol
4.5.1.13 Network Security Virtualization
4.5.2 Comparison of Routing Algorithms and Impact on Security
4.5.3 Inducing Intelligence in IoT Networks Using Artificial Intelligence
4.5.3.1 Fuzzy Logic-1
4.5.3.2 Fuzzy Logic-2
4.6 Introducing Hybrid Model in Military Application for Enhanced Security
4.6.1 Overall System Architecture
4.6.2 Best Candidate Selection
4.6.3 Simulation Results in Omnet++
4.6 Conclusion
References
5. Futuristic AI Convergence of Megatrends: IoT and Cloud Computing
Chanki Pandey, Yogesh Kumar Sahu, Nithiyananthan Kannan, Md Rashid Mahmood,
Prabira Kumar Sethy and Santi Kumari Behera
5.1 Introduction
5.1.1 Our Contribution
5.2 Methodology
5.2.1 Statistical Information
5.3 Artificial Intelligence of Things
5.3.1 Application Areas of IoT Technologies
5.3.1.1 Energy Management
5.3.1.2 5G/Wireless Systems
5.3.1.3 Risk Assessment
5.3.1.4 Smart City
5.3.1.5 Health Sectors
5.4 AI Transforming Cloud Computing
5.4.1 Application Areas of Cloud Computing
5.4.2 Energy/Resource Management
5.4.3 Edge Computing
5.4.4 Distributed Edge Computing and Edge-of-Things (EoT)
5.4.5 Fog Computing in Cloud Computing
5.4.6 Soft Computing and Others
5.5 Conclusion
References
6. Analysis of Internet of Things Acceptance Dimensions in Hospitals
Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka and Sharad Chandra Srivastava
6.1 Introduction
6.2 Literature Review
6.2.1 Overview of Internet of Things
6.2.2 Internet of Things in Healthcare
6.2.3 Research Hypothesis
6.2.3.1 Technological Context (TC)
6.2.3.2 Organizational Context (OC)
6.2.3.3 Environmental Concerns (EC)
6.3 Research Methodology
6.3.1 Demographics of the Respondents
6.4 Data Analysis
6.4.1 Reliability and Validity
6.4.1.1 Cronbach’s Alpha
6.4.1.2 Composite Reliability
6.4.2 Exploratory Factor Analysis (EFA)
6.4.3 Confirmatory Factor Analysis Results
6.4.3.1 Divergent or Discriminant Validity
6.4.4 Structural Equation Modeling
6.5 Discussion
6.5.1 Technological Context
6.5.2 Organizational Context
6.5.3 Environmental Context
6.6 Conclusion
References
7. Role of IoT in Sustainable Healthcare Systems
Amrita Rai, Ritesh Pratap Singh and Neha Jain
7.1 Introduction
7.2 Basic Structure of IoT Implementation in the Healthcare Field
7.3 Different Technologies of IoT for the Healthcare Systems
7.3.1 On the Basis of the Node Identification
7.3.2 On the Basis of the Communication Method
7.3.3 Depending on the Location of the Object
7.4 Applications and Examples of IoT in the Healthcare Systems
7.4.1 IoT-Based Healthcare System to Encounter COVID-19 Pandemic Situations
7.4.2 Wearable Devices
7.4.3 IoT-Enabled Patient Monitoring Devices From Remote Locations
7.4.3.1 Pulse Rate Sensor
7.4.3.2 Respiratory Rate Sensors
7.4.3.3 Body Temperature Sensors
7.4.3.4 Blood Pressure Sensing
7.4.3.5 Pulse Oximetry Sensors
7.5 Companies Associated With IoT and Healthcare Sector Worldwide
7.6 Conclusion and Future Enhancement in the Healthcare System With IoT
References
8. Fog Computing Paradigm for Internet of Things Applications
Upendra Verma and Diwakar Bhardwaj
8.1 Introduction
8.2 Challenges
8.3 Fog Computing: The Emerging Era of Computing Paradigm
8.3.1 Definition of Fog Computing
8.3.2 Fog Computing Characteristic
8.3.3 Comparison Between Cloud and Fog Computing Paradigm
8.3.4 When to Use Fog Computing
8.3.5 Fog Computing Architecture for Internet of Things
8.3.6 Fog Assistance to Address the New IoT Challenges
8.3.7 Devices Play a Role of Fog Computing Node
8.4 Related Work
8.5 Fog Computing Challenges
8.6 Fog Supported IoT Applications
8.7 Summary and Conclusion
References
9. Application of Internet of Things in Marketing Management
Arshi Naim, Anandhavalli Muniasamy and Hamed Alqahtani
9.1 Introduction
9.2 Literature Review
9.2.1 Customer Relationship Management
9.2.2 Product Life Cycle (PLC)
9.2.3 Business Process Management (BPM)
9.2.4 Ambient Intelligence (AmI)
9.2.5 IoT and CRM Integration
9.2.6 IoT and BPM Integration
9.2.7 IoT and Product Life Cycle
9.2.8 IoT in MMgnt
9.2.9 Impacts of AmI on Marketing Paradigms
9.3 Research Methodology
9.4 Discussion
9.4.1 Research Proposition 1
9.4.2 Research Proposition 2
9.4.3 Research Proposition 3
9.4.4 Research Proposition 4
9.4.5 Research Proposition 5
9.5 Results
9.4 Conclusions
References
10. Healthcare Internet of Things: A New Revolution
Manpreet Kaur, M. Sugadev, Harpreet Kaur, Md Rashid Mahmood and Vikas Maheshwari
10.1 Introduction
10.2 Healthcare IoT Architecture (IoT)
10.3 Healthcare IoT Technologies
10.3.1 Technology for Identification
10.3.2 Location Technology
10.3.2.1 Mobile-Based IoT
10.3.2.2 Wearable Devices
10.3.2.3 Ambient-Assisted Living (AAL)
10.3.3 Communicative Systems
10.3.3.1 Radiofrequency Identification
10.3.3.2 Bluetooth
10.3.3.3 Zigbee
10.3.3.4 Near Field Communication
10.3.3.5 Wireless Fidelity (Wi-Fi)
10.3.3.6 Satellite Communication
10.4 Community-Based Healthcare Services
10.5 Cognitive Computation
10.6 Adverse Drug Reaction
10.7 Blockchain
10.8 Child Health Information
10.9 Growth in Healthcare IoT
10.10 Benefits of IoT in Healthcare
10.11 Conclusion
References
11. Detection-Based Visual Object Tracking Based on Enhanced YOLO-Lite and LSTM
Aayushi Gautam and Sukhwinder Singh
11.1 Introduction
11.2 Related Work
11.3 Proposed Approach
11.3.1 Enhanced YOLO-Lite
11.3.2 Long Short-Term Memory
11.3.3 Working of Proposed Framework
11.4 Evaluation Metrics
11.5 Experimental Results and Discussion
11.5.1 Implementation Details
11.5.2 Performance on OTB-2015
11.5.3 Performance on VOT-2016
11.5.4 Performance on UAV-123
11.6 Conclusion
References
12. Introduction to AmI and IoT
Dolly Thankachan
12.1 Introduction
12.1.1 AmI and IoT Characteristics and Definition of Overlaps
12.1.1.1 Perceptions of “AmI” and the “IoT”
12.1.2 Prospects and Perils of AmI and the IoT
12.1.2.1 Assistances and Claim Areas
12.1.2.2 Intimidations and Contests Relating to AmI and the IoT
12.2 AmI and the IoT and Environmental and Societal Sustainability: Dangers, Challenges, and Underpinnings
12.3 Role of AmI and the IoT as New I.C.T.s to Conservational and Social Sustainability
12.3.1 AmI and the IoT for Environmental Sustainability: Issues, Discernment,
and Favoritisms in Tactical Innovation Pursuits
12.4 The Environmental Influences of AmI and the IoT Technology
12.4.1 Fundamental Properties
12.4.2 Boom Properties
12.4.3 Oblique Outcomes
12.4.4 Straight Outcome
12.5 Conclusion
References
13. Design of Optimum Construction Site Management Architecture: A Quality Perspective Using Machine Learning Approach
Kundan Meshram
13.1 Introduction
13.2 Literature Review
13.3 Proposed Construction Management Model Based on Machine Learning
13.4 Comparative Analysis
13.5 Conclusion
References
Index
Back to Top
Preface
1. Ambient Intelligence and Internet of Things: An Overview
Md Rashid Mahmood, Harpreet Kaur, Manpreet Kaur, Rohit Raja and Imran Ahmed Khan
1.1 Introduction
1.2 Ambient Intelligent System
1.3 Characteristics of AmI Systems
1.4 Driving Force for Ambient Computing
1.5 Ambient Intelligence Contributing Technologies
1.6 Architecture Overview
1.7 The Internet of Things
1.8 IoT as the New Revolution
1.9 IoT Challenges
1.10 Role of Artificial Intelligence in the Internet of Things (IoT)
1.11 IoT in Various Domains
1.12 Healthcare
1.13 Home Automation
1.14 Smart City
1.15 Security
1.16 Industry
1.17 Education
1.18 Agriculture
1.19 Tourism
1.20 Environment Monitoring
1.21 Manufacturing and Retail
1.22 Logistics
1.23 Conclusion
References
2. An Overview of Internet of Things Related Protocols, Technologies, Challenges and Application
Deevesh Chaudhary and Prakash Chandra Sharma
2.1 Introduction
2.1.1 History of IoT
2.1.2 Definition of IoT
2.1.3 Characteristics of IoT
2.2 Messaging Protocols
2.2.1 Constrained Application Protocol
2.2.2 Message Queue Telemetry Transport
2.2.3 Extensible Messaging and Presence Protocol
2.2.4 Advance Message Queuing Protocol (AMQP)
2.3 Enabling Technologies
2.3.1 Wireless Sensor Network
2.3.2 Cloud Computing
2.3.3 Big Data Analytics
2.3.4 Embedded System
2.4 IoT Architecture
2.5 Applications Area
2.6 Challenges and Security Issues
2.7 Conclusion
References
3. Ambient Intelligence Health Services Using IoT
Pawan Whig, Ketan Gupta, Nasmin Jiwani and Arun Velu
3.1 Introduction
3.2 Background of AML
3.2.1 What is AML?
3.3 AmI Future
3.4 Applications of Ambient Intelligence
3.4.1 Transforming Hospitals and Enhancing Patient Care With the Help of Ambient Intelligence
3.4.2 With Technology, Life After the COVID-19 Pandemic
3.5 COVID-19
3.5.1 Prevention
3.5.2 Symptoms
3.6 Coronavirus Worldwide
3.7 Proposed Framework for COVID-19
3.8 Hardware and Software
3.8.1 Hardware
3.8.2 Heartbeat Sensor
3.8.3 Principle
3.8.4 Working
3.8.5 Temperature Sensor
3.8.6 Principle
3.8.7 Working
3.8.8 BP Sensor
3.8.9 Principle
3.8.10 Working
3.9 Mini Breadboard
3.10 Node MCU
3.11 Advantages
3.12 Conclusion
References
4. Security in Ambient Intelligence and Internet of Things
Salman Arafath Mohammed and Md Rashid Mahmood
4.1 Introduction
4.2 Research Areas
4.3 Security Threats and Requirements
4.3.1 Ad Hoc Network Security Threats and Requirements
4.3.1.1 Availability
4.3.1.2 Confidentiality
4.3.1.3 Integrity
4.3.1.4 Key Management and Authorization
4.3.2 Security Threats and Requirements Due to Sensing Capability in the Network
4.3.2.1 Availability
4.3.2.2 Confidentiality
4.3.2.3 Integrity
4.3.2.4 Key Distribution and Management
4.3.2.5 Resilience to Node Capture
4.3.3 Security Threats and Requirements in AmI and IoT Based on Sensor Network
4.3.3.1 Availability
4.3.3.2 Confidentiality
4.3.3.3 Confidentiality of Location
4.3.3.4 Integrity
4.3.3.5 Nonrepudiation
4.3.3.6 Fabrication
4.3.3.7 Intrusion Detection
4.3.3.8 Confidentiality
4.3.3.9 Trust Management
4.4 Security Threats in Existing Routing Protocols that are Designed With No Focus on Security in AmI and IoT Based on Sensor Networks
4.4.1 Infrastructureless
4.4.1.1 Dissemination-Based Routing
4.4.1.2 Context-Based Routing
4.4.2 Infrastructure-Based
4.4.2.1 Network with Fixed Infrastructure
4.4.2.2 New Routing Strategy for Wireless Sensor Networks to Ensure Source Location Privacy
4.5 Protocols Designed for Security Keeping Focus on Security at Design Time for AmI and IoT Based on Sensor Network
4.5.1 Secure Routing Algorithms
4.5.1.1 Identity-Based Encryption (I.B.E.) Scheme
4.5.1.2 Policy-Based Cryptography and Public Encryption with Keyword Search
4.5.1.3 Secure Content-Based Routing
4.5.1.4 Secure Content-Based Routing Using Local Key Management Scheme
4.5.1.5 Trust Framework Using Mobile Traces
4.5.1.6 Policy-Based Authority Evaluation Scheme
4.5.1.7 Optimized Millionaire’s Problem
4.5.1.8 Security in Military Operations
4.5.1.9 A Security Framework Application Based on Wireless Sensor Networks
4.5.1.10 Trust Evaluation Using Multifactor Method
4.5.1.11 Prevention of Spoofing Attacks
4.5.1.12 QoS Routing Protocol
4.5.1.13 Network Security Virtualization
4.5.2 Comparison of Routing Algorithms and Impact on Security
4.5.3 Inducing Intelligence in IoT Networks Using Artificial Intelligence
4.5.3.1 Fuzzy Logic-1
4.5.3.2 Fuzzy Logic-2
4.6 Introducing Hybrid Model in Military Application for Enhanced Security
4.6.1 Overall System Architecture
4.6.2 Best Candidate Selection
4.6.3 Simulation Results in Omnet++
4.6 Conclusion
References
5. Futuristic AI Convergence of Megatrends: IoT and Cloud Computing
Chanki Pandey, Yogesh Kumar Sahu, Nithiyananthan Kannan, Md Rashid Mahmood,
Prabira Kumar Sethy and Santi Kumari Behera
5.1 Introduction
5.1.1 Our Contribution
5.2 Methodology
5.2.1 Statistical Information
5.3 Artificial Intelligence of Things
5.3.1 Application Areas of IoT Technologies
5.3.1.1 Energy Management
5.3.1.2 5G/Wireless Systems
5.3.1.3 Risk Assessment
5.3.1.4 Smart City
5.3.1.5 Health Sectors
5.4 AI Transforming Cloud Computing
5.4.1 Application Areas of Cloud Computing
5.4.2 Energy/Resource Management
5.4.3 Edge Computing
5.4.4 Distributed Edge Computing and Edge-of-Things (EoT)
5.4.5 Fog Computing in Cloud Computing
5.4.6 Soft Computing and Others
5.5 Conclusion
References
6. Analysis of Internet of Things Acceptance Dimensions in Hospitals
Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka and Sharad Chandra Srivastava
6.1 Introduction
6.2 Literature Review
6.2.1 Overview of Internet of Things
6.2.2 Internet of Things in Healthcare
6.2.3 Research Hypothesis
6.2.3.1 Technological Context (TC)
6.2.3.2 Organizational Context (OC)
6.2.3.3 Environmental Concerns (EC)
6.3 Research Methodology
6.3.1 Demographics of the Respondents
6.4 Data Analysis
6.4.1 Reliability and Validity
6.4.1.1 Cronbach’s Alpha
6.4.1.2 Composite Reliability
6.4.2 Exploratory Factor Analysis (EFA)
6.4.3 Confirmatory Factor Analysis Results
6.4.3.1 Divergent or Discriminant Validity
6.4.4 Structural Equation Modeling
6.5 Discussion
6.5.1 Technological Context
6.5.2 Organizational Context
6.5.3 Environmental Context
6.6 Conclusion
References
7. Role of IoT in Sustainable Healthcare Systems
Amrita Rai, Ritesh Pratap Singh and Neha Jain
7.1 Introduction
7.2 Basic Structure of IoT Implementation in the Healthcare Field
7.3 Different Technologies of IoT for the Healthcare Systems
7.3.1 On the Basis of the Node Identification
7.3.2 On the Basis of the Communication Method
7.3.3 Depending on the Location of the Object
7.4 Applications and Examples of IoT in the Healthcare Systems
7.4.1 IoT-Based Healthcare System to Encounter COVID-19 Pandemic Situations
7.4.2 Wearable Devices
7.4.3 IoT-Enabled Patient Monitoring Devices From Remote Locations
7.4.3.1 Pulse Rate Sensor
7.4.3.2 Respiratory Rate Sensors
7.4.3.3 Body Temperature Sensors
7.4.3.4 Blood Pressure Sensing
7.4.3.5 Pulse Oximetry Sensors
7.5 Companies Associated With IoT and Healthcare Sector Worldwide
7.6 Conclusion and Future Enhancement in the Healthcare System With IoT
References
8. Fog Computing Paradigm for Internet of Things Applications
Upendra Verma and Diwakar Bhardwaj
8.1 Introduction
8.2 Challenges
8.3 Fog Computing: The Emerging Era of Computing Paradigm
8.3.1 Definition of Fog Computing
8.3.2 Fog Computing Characteristic
8.3.3 Comparison Between Cloud and Fog Computing Paradigm
8.3.4 When to Use Fog Computing
8.3.5 Fog Computing Architecture for Internet of Things
8.3.6 Fog Assistance to Address the New IoT Challenges
8.3.7 Devices Play a Role of Fog Computing Node
8.4 Related Work
8.5 Fog Computing Challenges
8.6 Fog Supported IoT Applications
8.7 Summary and Conclusion
References
9. Application of Internet of Things in Marketing Management
Arshi Naim, Anandhavalli Muniasamy and Hamed Alqahtani
9.1 Introduction
9.2 Literature Review
9.2.1 Customer Relationship Management
9.2.2 Product Life Cycle (PLC)
9.2.3 Business Process Management (BPM)
9.2.4 Ambient Intelligence (AmI)
9.2.5 IoT and CRM Integration
9.2.6 IoT and BPM Integration
9.2.7 IoT and Product Life Cycle
9.2.8 IoT in MMgnt
9.2.9 Impacts of AmI on Marketing Paradigms
9.3 Research Methodology
9.4 Discussion
9.4.1 Research Proposition 1
9.4.2 Research Proposition 2
9.4.3 Research Proposition 3
9.4.4 Research Proposition 4
9.4.5 Research Proposition 5
9.5 Results
9.4 Conclusions
References
10. Healthcare Internet of Things: A New Revolution
Manpreet Kaur, M. Sugadev, Harpreet Kaur, Md Rashid Mahmood and Vikas Maheshwari
10.1 Introduction
10.2 Healthcare IoT Architecture (IoT)
10.3 Healthcare IoT Technologies
10.3.1 Technology for Identification
10.3.2 Location Technology
10.3.2.1 Mobile-Based IoT
10.3.2.2 Wearable Devices
10.3.2.3 Ambient-Assisted Living (AAL)
10.3.3 Communicative Systems
10.3.3.1 Radiofrequency Identification
10.3.3.2 Bluetooth
10.3.3.3 Zigbee
10.3.3.4 Near Field Communication
10.3.3.5 Wireless Fidelity (Wi-Fi)
10.3.3.6 Satellite Communication
10.4 Community-Based Healthcare Services
10.5 Cognitive Computation
10.6 Adverse Drug Reaction
10.7 Blockchain
10.8 Child Health Information
10.9 Growth in Healthcare IoT
10.10 Benefits of IoT in Healthcare
10.11 Conclusion
References
11. Detection-Based Visual Object Tracking Based on Enhanced YOLO-Lite and LSTM
Aayushi Gautam and Sukhwinder Singh
11.1 Introduction
11.2 Related Work
11.3 Proposed Approach
11.3.1 Enhanced YOLO-Lite
11.3.2 Long Short-Term Memory
11.3.3 Working of Proposed Framework
11.4 Evaluation Metrics
11.5 Experimental Results and Discussion
11.5.1 Implementation Details
11.5.2 Performance on OTB-2015
11.5.3 Performance on VOT-2016
11.5.4 Performance on UAV-123
11.6 Conclusion
References
12. Introduction to AmI and IoT
Dolly Thankachan
12.1 Introduction
12.1.1 AmI and IoT Characteristics and Definition of Overlaps
12.1.1.1 Perceptions of “AmI” and the “IoT”
12.1.2 Prospects and Perils of AmI and the IoT
12.1.2.1 Assistances and Claim Areas
12.1.2.2 Intimidations and Contests Relating to AmI and the IoT
12.2 AmI and the IoT and Environmental and Societal Sustainability: Dangers, Challenges, and Underpinnings
12.3 Role of AmI and the IoT as New I.C.T.s to Conservational and Social Sustainability
12.3.1 AmI and the IoT for Environmental Sustainability: Issues, Discernment,
and Favoritisms in Tactical Innovation Pursuits
12.4 The Environmental Influences of AmI and the IoT Technology
12.4.1 Fundamental Properties
12.4.2 Boom Properties
12.4.3 Oblique Outcomes
12.4.4 Straight Outcome
12.5 Conclusion
References
13. Design of Optimum Construction Site Management Architecture: A Quality Perspective Using Machine Learning Approach
Kundan Meshram
13.1 Introduction
13.2 Literature Review
13.3 Proposed Construction Management Model Based on Machine Learning
13.4 Comparative Analysis
13.5 Conclusion
References
Index
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