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Intelligent Green Technologies for Sustainable Smart Cities [Hardback]

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  • Formāts: Hardback, 368 pages, height x width x depth: 10x10x10 mm, weight: 454 g
  • Sērija : Advances in Cyber Security
  • Izdošanas datums: 27-Nov-2022
  • Izdevniecība: Wiley-Scrivener
  • ISBN-10: 1119816068
  • ISBN-13: 9781119816065
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Intelligent Green Technologies for Sustainable Smart CitiesPalielināt
  • Formāts: Hardback, 368 pages, height x width x depth: 10x10x10 mm, weight: 454 g
  • Sērija : Advances in Cyber Security
  • Izdošanas datums: 27-Nov-2022
  • Izdevniecība: Wiley-Scrivener
  • ISBN-10: 1119816068
  • ISBN-13: 9781119816065
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781119816065.html
Keywords:
Intelligent Green Technologies for Sustainable Smart Cities

Presenting the concepts and fundamentals of smart cities and developing “green” technologies, this volume, written and edited by a global team of experts, also goes into the practical applications that can be utilized across multiple disciplines and industries, for both the engineer and the student.

Smart cities and green technologies are quickly becoming two of the most important areas of development facing today’s engineers, scientists, students, and other professionals. Written by a team of experts in these fields, this outstanding new volume tackles the problem of detailing advances in smart city development, green technologies, and where the two areas intersect to create innovation and revolutionary solutions.

This group of hand-selected and vetted papers deals with the fundamental concepts of adapting artificial intelligence, machine learning techniques with green technologies, and many other advances in concepts related to these key areas. Including the most recent research and developments available, this book is an extraordinary source of knowledge for students, engineers seeking the latest research, and facilities and other professionals working in the area of green technologies and challenges and solutions in urban planning and smart city development.

Preface xv
List of Contributors
xvii
1 An Overview of the Intelligent Green Technologies for Sustainable Smart Cities
1(18)
Tanya Srivastava
Sahil Virk
Souvik Ganguli
1.1 Introduction
2(3)
1.2 Case Study 1: Oslo--A Smart City
5(1)
1.3 Case Study 2: Chandigarh--A Smart City
5(1)
1.4 Features of the Smart Cities
6(1)
1.5 Well-Planned Public Spaces and Streets
6(3)
1.5.1 Waste Management
6(1)
1.5.2 Energy Management
7(1)
1.5.3 Good Connectivity
7(1)
1.5.4 Urban Residence
8(1)
1.5.5 Smart Grids
8(1)
1.5.6 Smart Governance
8(1)
1.6 Intelligent Green Technologies
9(4)
1.7 Global and National Acceptance Scenarios
13(2)
1.8 Conclusions
15(4)
References
15(4)
2 Artificial Intelligence for Green Energy Technology
19(14)
Shanthi Jayaraj
Meena Chinniah
2.1 Introduction
19(1)
2.2 Solar Energy and AI
20(3)
2.3 AI Transforms Renewable Energy
23(1)
2.4 IBM Solution Using AI
24(1)
2.5 Hydrogen Vehicles
24(1)
2.6 Wind Energy and AI
25(4)
2.7 Renewable Energy Industry in India
29(1)
2.8 Conclusion
30(3)
References
30(1)
Website Reference
31(1)
Abbreviations
31(2)
3 Effective Waste Management System for Smart Cities
33(20)
G. Boopathi Raja
3.1 Introduction
34(2)
3.2 Literature Survey
36(1)
3.3 Waste Management in India
37(3)
3.4 Existing Methodology
40(2)
3.4.1 IoT-Based Smart Waste Bin Monitoring and Municipal Solid Waste Management System
40(1)
3.4.2 IoT Enabled Solid Waste Management System
41(1)
3.4.3 Smart Garbage Management System
41(1)
3.5 Proposed Framework
42(2)
3.5.1 System Description
42(2)
3.6 Functionality of the Proposed System
44(4)
3.6.1 Sensing Module
44(2)
3.6.2 Storage Module
46(1)
3.6.3 User Module
47(1)
3.7 Workflow of the Proposed Framework
48(1)
3.8 Conclusion and Future Scope
49(4)
References
50(3)
4 Municipal Solid Waste Energy: An Option for Green Technology for Smart Cities
53(20)
Soumitra Mukhopadhyay
4.1 Unavoidable Impacts of Nonrenewable Energy
53(2)
4.2 Municipal Solid Waste Energy as Clean Energy for Smart Cities
55(4)
4.2.1 Renewable Energy Options
55(1)
4.2.2 Municipal Solid Waste as Renewable Energy Option for Smart Cities
56(2)
4.2.3 Why Is MSW Energy Renewable?
58(1)
4.2.4 Various Waste to Energy Technologies
58(1)
4.3 Waste to Energy Technologies (WTE-T)
59(10)
4.3.1 Incineration
59(2)
4.3.2 Pyrolysis
61(2)
4.3.3 Gasification
63(2)
4.3.4 Anaerobic Digestion
65(1)
4.3.5 Landfill with Gas Capture
66(2)
4.3.6 Microbial Fuel Cell (MFC)
68(1)
4.4 Integrated Solid Waste Management Systems (ISWM-S) for Smart Cities
69(1)
4.5 Conclusion
70(3)
References
70(3)
5 E-Waste Management and Recycling Issues: An Overview
73(16)
Simran Srivastava
Sahil Virk
Saumyadip Hazra
Souvik Ganguli
5.1 Introduction
73(2)
5.2 Global Status of E-Waste Management
75(2)
5.3 Industrial Practices in E-Waste Management
77(2)
5.4 Recycling of E-Waste
79(2)
5.5 E-Waste Management Benchmarking
81(1)
5.6 Future of E-Waste Management
82(1)
5.7 Conclusions
83(6)
References
84(5)
6 Energy Audit and Management for Green Energy
89(22)
Arjyadhara Pradhan
Babita Panda
6.1 Introduction
89(2)
6.2 Types of Renewable Energy
91(2)
6.2.1 Solar Energy
91(1)
6.2.2 Wind Energy
91(1)
6.2.3 Biomass
92(1)
6.2.4 Geothermal Energy
92(1)
6.2.5 Ocean Energy
93(1)
6.3 Energy Management
93(4)
6.3.1 Types of Energy Management
94(1)
6.3.1.1 Demand Side Management
94(1)
6.3.1.2 Implementation of DSM
95(1)
6.3.1.3 Supply Side Management
96(1)
6.3.2 Ways to Improve Energy Management
97(1)
6.4 Energy Audit
97(4)
6.4.1 Types of Energy Audit
98(1)
6.4.2 Preliminary Energy Audit
98(1)
6.4.3 Detailed Energy Audit
98(2)
6.4.4 Data Analysis
100(1)
6.4.5 Detailed Steps in Energy Audit
100(1)
6.5 Energy Audit in Solar Plant
101(3)
6.5.1 Technical Inspection Steps of Solar Power Plant
103(1)
6.6 Energy Conservation
104(4)
6.6.1 Energy Conservation Methods
104(1)
6.6.2 Case Study
105(3)
6.7 Conclusion
108(3)
References
108(3)
7 A Smart Energy-Efficient Support System for PV Power Plants
111(32)
Salwa Ammach
Saeed Mian Qaisar
7.1 Introduction
112(6)
7.2 Literature Review
118(13)
7.2.1 Solar Tracking System
119(1)
7.2.2 Solar Cleaning Mechanisms
120(3)
7.2.3 Hotspots Detection
123(8)
7.3 Proposed Solution
131(7)
7.3.1 Solar Tracking
131(5)
7.3.2 Cleaning System
136(1)
7.3.3 Hotspots
136(1)
7.3.4 Modeling and Simulation
136(1)
7.3.5 Limitations
137(1)
7.3.6 Hypothesis
137(1)
7.4 Conclusion
138(5)
References
138(5)
8 A New Hybrid Proposition Based on a Cuckoo Search Algorithm for Parameter Estimation of Solar Cells
143(22)
Souvik Ganguli
Shilpy Goyal
Parag Nijhawan
8.1 Introduction
144(1)
8.2 Modelling of an Amended Double Diode Model (ADDM) and the Objective Function
145(4)
8.3 Proposed Work
149(1)
8.4 Results and Discussions
149(12)
8.5 Conclusions
161(4)
References
162(3)
9 Supervisory Digital Feedback Control System for An Effective PV Management and Battery Integration
165(30)
Amal E. Abdel Gawad
Nehal A. Alyamani
Saeed Mian Qaisar
9.1 Introduction
166(7)
9.2 Literature Review
173(12)
9.2.1 GHI in the Middle East
173(1)
9.2.2 Types of PV Systems
173(3)
9.2.3 Solar Tracking Systems
176(3)
9.2.4 Charger Controller
179(1)
9.2.5 Series Regulator
179(1)
9.2.6 Shunt Regulator
180(1)
9.2.7 Pulse Width Modulation
180(1)
9.2.8 Maximum Power Point Tracker Charger Controller
181(1)
9.2.9 Reducing the Charging Time
182(1)
9.2.10 Dust Remover
183(2)
9.3 Proposed Solution
185(4)
9.3.1 Single Axis Solar Tracking System
186(1)
9.3.2 Supervisory Digital Feedback Solar Tracker Control System
186(1)
9.3.3 Database-Based Digital Solar Tracker Control System
187(1)
9.3.4 Soiling Treatment Module
187(1)
9.3.5 PV-to-Battery Switching Module
187(2)
9.4 Discussion
189(2)
9.5 Conclusion
191(4)
References
191(4)
10 Performance Analysis of Tunnel Field Effect Transistor for Low-Power Applications
195(32)
Deepak Kumar
Shiromani Balmukund Rahi
Neha Paras
10.1 Introduction
196(5)
10.1.1 Limitation of Conventional MOSFET
199(1)
10.1.2 Subthreshold Slope Devices
199(2)
10.2 TFET Structure and Simulation Setup
201(2)
10.3 TFET Working Principle
203(6)
10.3.1 Transport Mechanism in TFET
205(1)
10.3.1.1 Band to Band (BTB) Tunneling Transmission
205(3)
10.3.1.2 Kane's Model
208(1)
10.4 Subthreshold Swing (SS) in Tunnel FETs
209(5)
10.5 Performance of Hetrojunction Tunnel FET
214(7)
10.5.1 Transfer Characteristics Analysis of TFET Devices
214(5)
10.5.2 Frequency Analysis of TFET Devices
219(2)
10.6 Conclusion
221(6)
References
222(5)
11 Low-Power Integrated Circuit Smart Device Design
227(20)
Shasanka Sekhar Rout
Salony Mahapatro
Gaurav Jayaswal
Manish Hooda
11.1 Introduction
228(1)
11.2 Need of Low Power
229(1)
11.3 Design Techniques of Low Power
230(2)
11.3.1 Power Optimization by IC System
230(1)
11.3.2 Power Optimization by Algorithm Section
231(1)
11.3.3 Power Optimization by Architecture Design
231(1)
11.3.4 Power Optimization by Circuit Level
231(1)
11.3.5 Power Optimization by Process Technology
231(1)
11.4 VLSI Circuit Design for Low Power
232(2)
11.4.1 Power Dissipation of CMOS Inverter
232(1)
11.4.1.1 Static Power
232(1)
11.4.1.2 Dynamic Power
233(1)
11.4.1.3 Short Circuit Power Dissipation
233(1)
11.4.1.4 Other Power Issue
233(1)
11.4.2 Capacitance Estimation of CMOS Logic Gate
234(1)
11.5 Circuit Techniques for Low Power
234(2)
11.5.1 Static Power Technique
234(1)
11.5.1.1 Self-Reverse Biasing
234(1)
11.5.1.2 Multithreshold Voltage Technique
235(1)
11.5.2 Dynamic Power Technique
235(1)
11.6 Random Access Memory (RAM) Circuits for Low Power
236(1)
11.6.1 Low-Power Techniques for SRAM
236(1)
11.6.2 Low-Power Techniques for DRAM
237(1)
11.7 VLSI Design Methodologies for Low Power
237(2)
11.7.1 Low-Power Physical Design
237(1)
11.7.2 Low-Power Gate Level Design
237(1)
11.7.2.1 Technology Mapping and Logic Minimization
238(1)
11.7.2.2 Reduction of Spurious Transitions
238(1)
11.7.2.3 Power Reduction by Precomputation
238(1)
11.7.3 Low-Power Architecture Level Design
238(1)
11.8 Power Reduction by Algorithmic Level
239(1)
11.8.1 Lowering in Switched Capacitance
239(1)
11.8.2 Lowering in Switching Activities
239(1)
11.9 Power Estimation Technique
239(1)
11.9.1 Circuit Level Tool
239(1)
11.9.2 Gate Level
240(1)
11.9.3 Architectural Level
240(1)
11.9.4 Behavioral Level
240(1)
11.10 Low-Power Flood Sensor Design
240(1)
11.11 Low-Power VCO Design
241(1)
11.12 Low-Power Gilbert Mixer Design
241(2)
11.13 Conclusion
243(4)
References
243(4)
12 GaN Technology Analysis as a Greater Mobile Semiconductor: An Overview
247(22)
Biyyapu Sai Vamsi
Tarun Chaudhary
Deepti Kakkar
Amit Tiwari
Manish Sharma
12.1 Introduction
248(2)
12.2 Research and Collected Data
250(5)
12.3 Studies Reviewed and Findings
255(11)
12.4 Conclusion
266(3)
References
266(3)
13 Multilevel Distributed Energy Efficient Clustering Protocol for Relay Node Selection in Three-Tiered Architecture
269(22)
Deepti Kakkar
Gurjot Kaur
Aradhana Tirkey
13.1 Introduction
270(6)
13.1.1 Overview
270(1)
13.1.2 Routing Challenges and Design Issues
271(1)
13.1.3 Heterogeneous Wireless Sensor Networks (HWSNs)
272(1)
13.1.3.1 Clustering in WSN
273(1)
13.1.4 Relay Node Selection Scheme
274(1)
13.1.5 Genetic Algorithm
275(1)
13.1.6 Problem Definition and Motivation
275(1)
13.1.7 Proposed Work
276(1)
13.2 Implementation of Proposed Relay Node Selection Based on GA
276(6)
13.2.1 Network Model
276(1)
13.2.2 Heterogenous Network Model
277(2)
13.2.3 Radio Energy Dissipation Model
279(1)
13.2.4 GA-Based Relay Node Selection
279(3)
13.2.5 Steady State Phase or Data Communication Phase
282(1)
13.3 Results of Simulation For Energy Consumption, Lifetime and Throughput of Network
282(5)
13.3.1 Simulation Setup
282(2)
13.3.2 Comparison of Residual Energy Consumption
284(1)
13.3.3 Comparison of Lifetime of Network
284(2)
13.3.4 Comparison of Throughput at BS
286(1)
13.4 Conclusion and Future Scope
287(4)
References
288(3)
14 Privacy and Security of Smart Systems
291(26)
K. Suresh Kumar
D. Prabakaran
R. Senthil Kumaran
I. Yamuna
14.1 Smart Systems--An Overview
291(1)
14.2 Security and Privacy Challenges in Smart Systems
292(2)
14.2.1 Botnet Activities in Smart Systems
294(1)
14.2.2 Threats of Nonhuman-Operated Cars
294(1)
14.2.3 Privacy Issues of Virtual Reality
294(1)
14.3 Case Studies--Security Breaches in Smart Systems
294(2)
14.3.1 Breaching Smart Surveillance Cameras
295(1)
14.3.2 Hacking Smart Televisions
295(1)
14.3.3 Hacked Smart Bulbs
295(1)
14.3.4 Vulnerable Smart Homes
296(1)
14.3.5 Identity Stealing using Smart Coffee Machines
296(1)
14.4 Existing Security and Privacy Protection Technologies
296(5)
14.4.1 Cryptography
297(2)
14.4.2 Biometric
299(2)
14.4.3 Block Chain Technology
301(1)
14.5 Machine Learning, Deep Learning, and Artificial Intelligence
301(2)
14.5.1 Machine Learning in Smart Systems
301(1)
14.5.2 Genetic Algorithm
302(1)
14.5.3 Deep Learning in Smart Systems
303(1)
14.5.4 Artificial Intelligence in Smart Systems
303(1)
14.6 Security Requirement for Smart Systems
303(2)
14.6.1 Thwarting of Data Leakage and Falsifications
304(1)
14.6.2 Identification and Prevention of Device Tampering
304(1)
14.6.3 Light Weight Encryption Algorithm for Authentication
304(1)
14.6.4 Access Restrictions to Users
305(1)
14.6.5 Incident Response for Entire Systems
305(1)
14.7 Instruction to Build Strong Privacy Policy
305(1)
14.7.1 Privacy Policy
305(1)
14.7.2 Definition
306(1)
14.7.3 Key Reasons Why There Is a Need for Privacy Policy
306(1)
14.8 Role of Internet in Smart Systems
306(4)
14.8.1 Home Automation
307(1)
14.8.2 Agriculture
307(1)
14.8.3 Industry
308(1)
14.8.4 Health & Lifestyle
309(1)
14.9 Frameworks, Algorithms, and Protocols for Security Enhancements
310(2)
14.9.1 Framework for the Internet of Things by Cryptography
311(1)
14.9.2 Protocols for Security Enhancements
312(1)
14.10 Design Principles of Privacy Enhancing Methodologies
312(1)
14.11 Conclusion
313(4)
References
314(3)
15 Artificial Intelligence and Blockchain Technologies for Smart City
317(14)
Jagendra Singh
Mohammad Sajid
Suneet Kumar Gupta
Raza Abbas Haidri
15.1 Introduction
318(4)
15.2 Standard for Designing Smart City and Society
322(1)
15.2.1 Scalability
322(1)
15.2.2 Intelligent Health Care
322(1)
15.2.3 Flexible and Interoperable
322(1)
15.2.4 Safeguard Infrastructure
322(1)
15.2.5 Robust Environment
323(1)
15.2.6 Distribution and Sources of Energy
323(1)
15.2.7 Intelligent Infrastructure
323(1)
15.2.8 Choice-Based Backing System
323(1)
15.2.9 Monitoring of Behavior
323(1)
15.3 Blockchain and Artificial Intelligence
323(1)
15.4 Contributions and Literature Study
324(4)
15.5 Conclusion
328(3)
References
329(2)
16 Android Application for School Bus Tracking System
331(10)
S. Sriram
16.1 Introduction
331(1)
16.2 Application Methods for Access
332(3)
16.2.1 Driver Portal Screen
333(1)
16.2.2 Parent Portal Screen
334(1)
16.2.3 Teachers Portal Screen
334(1)
16.3 GPS Data Processing Methodology
335(1)
16.4 GPS Working Process
336(1)
16.5 System Implementation
336(1)
16.6 Result and Discussion
336(2)
16.6.1 Reasons to Utilize Android Application for School Bus Tracking System
337(1)
16.6.1.1 Perfect Child Security
337(1)
16.6.1.2 Elaborate Operational Efficiency
337(1)
16.6.1.3 Valid Timely Maintenance
338(1)
16.6.1.4 Automating Attendance Management
338(1)
16.6.1.5 Better Staff Management
338(1)
16.6.1.6 Addressing Environmental Concerns
338(1)
16.7 Conclusion
338(3)
References
339(2)
About the Editors 341(2)
Index 343
Suman Lata Tripathi, PhD, is a professor at Lovely Professional with more than seventeen years of experience in academics. She has published more than 45 research papers in refereed journals and conferences. She has organized several workshops, summer internships, and expert lectures for students, and she has worked as a session chair, conference steering committee member, editorial board member, and reviewer for IEEE journals and conferences. She has published one edited book and currently has multiple volumes scheduled for publication, including volumes available from Wiley-Scrivener.

Souvik Ganguli, PhD, is an assistant professor and received his PhD from Thapar Institute of Engineering and Technology, Patiala. With fourteen years of experience in academics and several years in industry, he has been a session chair, keynote speaker, and conference organizer for scholarly conferences, and he has published over 50 papers in academic journals. He also has coveted grants to his credit and has published a number of book chapters in edited volumes.

Abhishek Kumar, PhD, is an associate professor at and obtained his PhD in the area of VLSI Design for Low Power and Secured Architecture from Lovely Professional University, India. With over 11 years of academic experience, he has published more than 30 research papers and proceedings in scholarly journals. He has also published five book chapters and one authored book. He has worked as a reviewer and fprogram committee member and editorial board member for academic and scholarly conferences and journals.

Tengiz Magradze, PhD, is an electrical design advisor for WINDTHINK, head of power transmission lines projects with Georgian State Electrosystem, and an adjunct professor of Electrical/Power Engineering/Management at Ballsbridge University, Dominica. He has published 14 journal articles and one book and is an editorial board member for a number of academic journals.