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El. knyga: Internet of Things: Energy, Industry, and Healthcare [Taylor & Francis e-book]

Edited by (Galgotias College of Engineering and Technology, India), Edited by (University of Petroleum and Energy Studies, India), Edited by (Maharishi Markandeshwar Uni, India), Edited by (Afe Babalola University, Nigeria), Edited by
  • Formatas: 310 pages, 21 Tables, black and white; 54 Line drawings, black and white; 54 Halftones, black and white; 108 Illustrations, black and white
  • Išleidimo metai: 20-Oct-2021
  • Leidėjas: CRC Press
  • ISBN-13: 9781003140443
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  • Taylor & Francis e-book
  • Kaina: 170,80 €*
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Internet of Things: Energy, Industry, and HealthcareDidesnis paveikslėlis
  • Formatas: 310 pages, 21 Tables, black and white; 54 Line drawings, black and white; 54 Halftones, black and white; 108 Illustrations, black and white
  • Išleidimo metai: 20-Oct-2021
  • Leidėjas: CRC Press
  • ISBN-13: 9781003140443
Kitos knygos pagal šią temą:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Partnerių interneto svetainė: https://www.taylorfrancis.com/books/9781003140443
Internet of things (IoT) is the connection and communication of physical objects (smart devices) over the internet. In this recent age, peoples daily lives are dependent on the internet through their smartphones, tablets, Smart TVs, micro-controllers, Smart Tags, computers, laptops, and cars to name a few. This book discusses different ways to create a better IoT network and/or IoT platforms to improve the efficiency and quality of these products and subsequently their users' lives. In addition, this book provides future research directions in energy, industry, and healthcare, and explores the different applications of IoT and its associated technologies. It provides an overview and explanation of the software architecture, middleware, data processing and data management as well as security, sensors, actuators and algorithms used to create a working IoT platform. The editors then go on to examine IoT networks and platforms as they relate to energy industry including, energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues. They then explore IoT as it applies to healthcare including biomedical image and signal analysis and disease prediction and diagnosis. Finally the editors examine the prospects and applications of IoT for industry through the concepts of smart industry, including architecture, blockchain, and Industry 4.0. This book is intended for senior undergraduate and graduate students, researchers and industry professionals working on IoT applications and infrastructure.











Reviews IoT software architecture and middleware, data processing and management, security, privacy and reliability, architectures, protocols, technologies, algorithms, and smart objects, sensors, and actuators





Explores IoT as it applies to energy, including energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues Examines IoT as it applies to healthcare including biomedical image and signal analysis, and disease prediction and diagnosis





Examines IoT as it applies to smart industry including architecture, blockchain, and Industry 4.0





Discusses different ways to create a better IoT network or IoT platform
Editor Biographies xv
List of Contributors xvii
Chapter 1 VANET-Based Intelligent Traffic Light Control System by Detecting Congestion Using Fuzzy C-Means Clustering Technique in a Smart City 1(18)
Anita Mohanty
Subrat Kumar Mohanty
Bhagyalaxmi Jena
1.1 Introduction
1(1)
1.2 Literature Review
2(2)
1.3 Proposed Method
4(3)
1.3.1 Parameter Extraction
4(1)
1.3.2 Clustering Algorithm for Congestion Detection
5(1)
1.3.3 Labview for Traffic Light Operation
5(2)
1.4 Model Description
7(1)
1.5 System Implementation
8(1)
1.5.1 Software Section
8(1)
1.5.2 Hardware Section
9(1)
1.6 Experimental Results and Observations
9(3)
1.7 Conclusion
12(4)
References
16(3)
Chapter 2 Internet of Things Advancements in Healthcare 19(14)
Keshav Kaushik
Susheela Dahiya
Rewa Sharma
2.1 Introduction to IoT in Healthcare
19(7)
2.1.1 Internet of Things and Healthcare
20(1)
2.1.2 Growth of Internet of Things in Changing Data Environment
21(1)
2.1.3 IoT Analytics in Healthcare
22(4)
2.1.4 Future Aspects of IoT in Healthcare
26(1)
2.1.5 Telehealth and Self-Monitoring with Mobile Applications
26(1)
2.2 Wearable Sensors and IoT Applications in Healthcare
26(5)
2.2.1 IoT Devices and Protocols
28(1)
2.2.2 IoT Applications in Healthcare
29(1)
2.2.3 IoT in Home Rehabilitation
30(1)
2.3 Conclusion
31(1)
References
31(2)
Chapter 3 IoT-Based Artificial Intelligence System in Object Detection 33(18)
Vishal Gupta
Monish Gupta
3.1 Introduction
33(1)
3.2 Proposed Methodology
34(6)
3.2.1 Object Detection
34(5)
3.2.2 Comparison of Static Techniques of Object Detection
39(1)
3.3 Object Tracking
40(2)
3.4 Experimental Analysis
42(1)
3.5 Conclusion
42(1)
References
43(8)
Chapter 4 A Value Parity Combination-Based Scheme for Heartbeat Sounds Protection 51(18)
Euschi Salah
Khaldi Amine
Kafi Redouane
Kahlessenane Fares
4.1 Introduction
51(1)
4.2 Related Works
52(3)
4.2.1 Spatial Domain Audio Watermarking Methods
53(1)
4.2.2 Transform Domain Audio Watermarking Methods
53(1)
4.2.3 Multi-Resolutional Domain Audio Watermarking Methods
54(1)
4.3 Proposed Approaches
55(2)
4.3.1 Spatial Domain
55(1)
4.3.2 Frequency Domain
55(2)
4.3.3 Multi-Resolution Domain
57(1)
4.4 Experiments and Results
57(7)
4.4.1 Performance Measurement Metrics
58(1)
4.4.2 Application of Our Approaches in the Spatial Domain
58(1)
4.4.3 Application of Our Approaches in the Frequency Domain
58(1)
4.4.4 Application of Our Approaches in the Multi-Resolution Domain
59(4)
4.4.5 Imperceptibility Tests
63(1)
4.4.6 Robustness Test
64(1)
4.5 Conclusion
64(1)
4.6 Compliance with Ethical Standards
65(1)
References
65(4)
Chapter 5 Sentiment Analysis of Product Reviews Using IoT 69(16)
Ankur Ratmele
Ramesh Thakur
5.1 Introduction
69(5)
5.1.1 Sentiment Analysis
70(1)
5.1.2 Sentiment Analysis Application
70(1)
5.1.3 Different Levels of Analysis
70(1)
5.1.4 Opinion
71(1)
5.1.5 IoT
72(1)
5.1.6 Machine Learning
73(1)
5.1.7 IoT Using Machine Learning
73(1)
5.2 Related Work
74(1)
5.3 Methodology
75(4)
5.3.1 Dataset
75(1)
5.3.2 IoT Device
76(1)
5.3.3 Preprocessing of Reviews
77(1)
5.3.4 Feature Extraction
78(1)
5.3.5 Sentiment Analysis
79(1)
5.3.6 Summary
79(1)
5.4 Experiment and Results
79(2)
5.5 Conclusions
81(1)
References
81(4)
Chapter 6 Saccadic Scan Path Predicting Using Convolutional Auto Encoders 85(16)
Souvik Das
Shafee Anwar
J. Maiti
6.1 Introduction
85(1)
6.2 Related Works
86(1)
6.3 Pre-Requisites
87(2)
6.3.1 Convolutional Auto-encoder
87(2)
6.4 Proposed Model
89(4)
6.5 Experiment
93(3)
6.6 Results and Conclusion
96(3)
References
99(2)
Chapter 7 Impact of IIOT in Future Industries: Opportunities and Challenges 101(12)
G. Boopathi Raja
7.1 Introduction
101(2)
7.2 Research Efforts in Industrial IoT
103(1)
7.3 Empowering Technologies for IoT
103(4)
7.3.1 Internet of Things
103(1)
7.3.2 Blockchain Technology
103(2)
7.3.3 Cloud Computing
105(1)
7.3.4 Big Data Analytics
106(1)
7.3.5 Cyber Physical Systems (CPS) and Artificial Intelligence (AI)
106(1)
7.3.6 Augmented and Virtual Reality
107(1)
7.4 Challenges
107(3)
7.4.1 Efficient Management Procedure for Data
107(1)
7.4.2 Heterogeneous IoT Systems' Collaborations
108(1)
7.4.3 Robust and Scalable Analytical Techniques for Big Data
108(1)
7.4.4 Trust in Industrial IoT-Based Frameworks
108(1)
7.4.5 Wireless Technology and Protocols Coexistence with IIoT
109(1)
7.4.6 Enabling Decentralization on the Edge
109(1)
7.4.7 Development of IoT Specific Operating Systems
109(1)
7.4.8 Public Safety in IIoT
110(1)
7.5 Conclusion
110(1)
References
111(2)
Chapter 8 Privacy and Ethical Issues in Digitalization World 113(6)
Renu Bala
8.1 Introduction
113(1)
8.2 Literature Review
114(1)
8.3 Challenges in the Stream of Data Privacy
114(1)
8.4 Ethical Issues in Data Privacy
115(1)
8.5 Conclusion
115(1)
References
116(3)
Chapter 9 A Review on Smart Traffic Management System 119(12)
Tarun Jaiswal
Manju Pandey
Priyanka Tripathi
9.1 Introduction
119(1)
9.2 Decrease of Traffic Movement Through the Smart Signals
120(1)
9.3 Role of IoT and Big Data in Traffic Management
120(1)
9.4 Advantages and Disadvantages of Traffic Management System
121(2)
9.4.1 Advantages
121(1)
9.4.2 Disadvantages Compatibility
122(1)
9.5 Literature Review
123(5)
9.6 Conclusion
128(1)
References
128(3)
Chapter 10 A Robust Context and Role-Based Dynamic Access Control for Distributed Healthcare Information Systems 131(22)
Abdulkadir Abdulkadir Adamu
Ayodeji Olalekan Salau
Li Zhiyong
10.1 Introduction
131(1)
10.2 Related Works
132(3)
10.2.1 Role-Based Access Control
132(2)
10.2.2 Other Access Control Models
134(1)
10.2.3 Role Hierarchy
135(1)
10.3 Research Methodology
135(5)
10.3.1 Conceptual Design
135(1)
10.3.2 Data Collection Instruments
136(1)
10.3.3 Validation of Data Collection Instruments
136(1)
10.3.4 Data Collection Procedure
137(1)
10.3.5 Procedure For Data Analysis
137(1)
10.3.6 Setting Up the Uath Computing Environment
137(1)
10.3.7 Systems Functional Requirement Analysis
137(1)
10.3.8 Analysis of Existing RBAC Models
138(1)
10.3.9 Modification of Existing RBAC Models
139(1)
10.3.10 System Architecture And the Technical Approach To System Design
140(1)
10.4 System Design and Architecture
140(5)
10.4.1 The Basic RBAC System Structure
140(1)
10.4.2 Technical Approach to System Design
141(1)
10.4.3 Code Architecture
142(1)
10.4.4 System Implementation
143(2)
10.5 Results and Discussion
145(5)
10.5.1 System Testing
145(1)
10.5.2 Database
145(1)
10.5.3 Relationships Between the System User Database Tables
145(1)
10.5.4 Infusing Purpose And Context Into the System Design
146(2)
10.5.5 Analysis of Hypotheses
148(2)
10.5.6 Testing of Hypothesis
150(1)
10.6 Conclusion
150(1)
References
151(2)
Chapter 11 Impact of ICT on Handicrafts Marketing in Delhi NCR Region 153(12)
Archita Nandi
11.1 Introduction
153(4)
11.2 Information and Communication Technologies (ICT) in Handicraft
157(3)
11.3 Uses of Information Technology for Marketing
160(1)
11.3.1 Advertising of Handicrafts Products
160(1)
11.4 Tools of Information Technology
161(1)
11.5 Challenges for E-Tailing in Handicrafts Marketing
162(1)
11.6 Conclusion
163(1)
References
163(2)
Chapter 12 Intelligent Amalgamation of Blockchain Technology with Industry 4.0 to Improve Security 165(12)
Sumit Kumar Rana
Sanjeev Kumar Rana
12.1 Introduction
165(1)
12.2 Historical Look Back of Industrial Revolution
166(2)
12.2.1 Industry 1.0
166(1)
12.2.2 Industry 2.0
167(1)
12.2.3 Industry 3.0
167(1)
12.2.4 Industry 4.0
168(1)
12.3 Literature Review
168(2)
12.4 Security Preferences for Industry 4.0
170(2)
12.5 How Blockchain Caters Security to Support Industry 4.0
172(2)
12.6 Conclusion
174(1)
References
174(3)
Chapter 13 Sensor Networks and Internet of Things in Agri-Food 177(18)
Moses Oluwafemi Onibonoje
13.1 Introduction
177(3)
13.2 Summary
180(12)
13.2.1 Component Level
180(2)
13.2.2 System Level
182(1)
13.2.3 Application Level
183(1)
13.2.4 Design Issues and Challenges
183(3)
13.2.5 Case Study: Sensor Networks and IoT in the Food Chain
186(6)
References
192(3)
Chapter 14 Design and Development of Hybrid Algorithms to Improve Cyber Security and Provide Securing Data Using Image Steganography with Internet of Things 195(14)
Abhishek Mehta
Trupti Rathod
14.1 Outline
195(2)
14.2 Literature Review
197(3)
14.3 Comparison Study
200(1)
14.4 Proposed Methodology
200(6)
14.5 Conclusion
206(1)
References
207(2)
Chapter 15 Optimal Automatic Power Generation Using Modified Hybrid Soft Computing Techniques 209(40)
Cheshta Jain Khare
Vikas Khar
H.K. Verma
15.1 Introduction
209(1)
15.2 Modeling of Load Frequency Control System with and Without the Effect of Dead Band
210(7)
15.2.1 Problem Formulation
215(2)
15.3 Overview of Soft Computing Techniques
217(9)
15.4 Overview and Solution Methodology Using Hybrid Statistical Tracked Particle Swarm Optimization (STPSO)
226(4)
15.4.1 Overview of Hybrid STPSO
226(2)
15.4.2 Computational Algorithm Using Hybrid STPSO Method
228(2)
15.5 Implementation of Benchmark Functions
230(4)
15.5.1 Performance Evaluation
232(2)
15.6 Implementation of Proposed Automatic Generation Control Systems
234(8)
15.6.1 Performance Evaluation
236(6)
15.7 Conclusion
242(5)
15.7.1 Guide Line for Future Work
244(3)
References
247(2)
Chapter 16 Steganography and Steganalysis Using Machine Learning 249(10)
Sachin Dhawan
Rashmi Gupta
Arun Kumar Rana
16.1 Introduction
249(1)
16.2 Steganography
250(1)
16.3 Steganalysis
251(1)
16.4 Machine Learning
252(3)
16.5 Steganalysis Tests
255(1)
16.6 Conclusion
256(1)
References
256(3)
Chapter 17 Gender Detection Based on Machine Learning Using Convolutional Neural Networks 259(16)
A. Jaya Lakshmi
A. Rajesh
K. Aishwarya
R. Shashank Dinakar
A. Mallaiah
17.1 Introduction
259(1)
17.1.1 Problem Statement
260(1)
17.2 Literature Survey
260(2)
17.3 Implementation and Design
262(7)
17.3.1 Hardware Architecture and Block Diagram
262(1)
17.3.2 Hardware Tools
262(2)
17.3.2.1 Raspberry Pi 4 Board
264(1)
17.3.3 Software Architecture and Algorithm
264(5)
17.4 Simulation Results
269(2)
17.5 Conclusion
271(1)
References
272(3)
Chapter 18 Smart Technologies and Social Impact: An Indian Perspective of Contactless Technologies for Pandemic 275(26)
Rashmi Bhardwaj
Varsha Duhoon
Mohammad Ayoub Khan
18.1 Introduction
275(6)
18.2 Taxonomy of Technologies
281(4)
18.2.1 The Internet of Things
281(1)
18.2.2 Application of lot in Different Scenarios of Covid
282(1)
18.2.3 Applications of Internet and Smart Technologies and their Impact on Society
283(1)
18.2.4 Impact of COVID-19 on IoT Applications
284(1)
18.3 Smart Tracing Technologies
285(6)
18.3.1 Contact Tracing Technologies (Figure 18.1) - Review
285(2)
18.3.2 Popular Applications for Contact Tracing
287(1)
18.3.3 Outcome of Contract Tracing Applications
288(1)
18.3.4 Popular Applications Payment System and Impact
288(1)
18.3.5 Popular Applications for Education and Impact
289(2)
18.4 Analysis and Social Impact
291(2)
18.4.1 Privacy Concern
292(1)
18.4.2 User Adoption, Etc
292(1)
18.5 Conclusion
293(1)
References
293(8)
Chapter 19 Agriculture-Internet of Things (A-IoT) Key Roles in Addressing Some Challenges in Agriculture 301(8)
Ibrahim Muhammad Abdul
19.1 Introduction
301(1)
19.2 Background and Concept of IoT
302(1)
19.3 IoT Architecture in Agriculture
303(1)
19.4 IoT Application or Role in Agriculture
304(3)
19.5 Examples of Apps of Internet of Things (IoT) Used in Agriculture
307(1)
19.6 Conclusion
308(1)
References
308(1)
Index 309
Dr. Ayodeji Olalekan Salau works at Afe Babalola University in the Department of Electrical/Electronics and Computer Engineering.

Prof. Arun Kumar Rana is an Assistant Professor at PIET College Samalkha.

Dr. Sharad Sharma has a vast experience of more than 20 years of teaching and administrative work.

Dr. Shubham Tayal is an Assistant Professor at SR University, Warangal, India.

Prof. Swati Gupta works at Panipat Institute of Engineering & Technology.
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