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Submit a ProposalSmart Grids as Cyber Physical Systems Volume 2
 | Smart Grids Paving the Way to Smart Cities Edited by O.V. Gnana Swathika, K. Karthikeyan, P. Sanjeevikumar Copyright: 2024 | Status: Published ISBN: 9781394261697b | Hardcover | 364 pages Price: $225 USD  |
One Line Description
With this second volume focusing on smart cities, smart vehicles, and next-generation infrastructure, this groundbreaking two-volume set provides a comprehensive overview of the fundamental security of supervisory control and data acquisition (SCADA) systems, making it an essential reference for practitioners in industries focusing on adaptive configuration and optimization in smart grid systems.
Audience
Senior undergraduate students, graduate students, industry professionals, researchers and academics in industries focusing on adaptive configuration and optimization for smart grid systems
Senior undergraduate students, graduate students, industry professionals, researchers and academics in industries focusing on adaptive configuration and optimization for smart grid systems
Description
Smart Grids as Cyber Physical Systems, a new two-volume set from Wiley-Scrivener, provides a comprehensive overview of the fundamental security of supervisory control and data acquisition (SCADA) systems, offering clarity on specific operating and security issues that may arise that deteriorate the overall operation and efficiency of smart grid systems. It also provides techniques to monitor and protect systems, as well as aids for designing a threat-free system.
This second volume focuses mainly on smart cities, transportation, and infrastructure, but the set as a whole discusses how artificial intelligence may be extensively deployed in the prediction of energy generation, electric grid-related line loss prediction, load forecasting, and for predicting equipment failure prevention. It also discusses power generation systems, building service systems, and explores advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms. Additionally, it explores research contributions of experts in cyber physical systems (CPS) infrastructure systems, incorporating sustainability by embedding computing and communication in day-to-day smart grid applications. This two-volume will be of immense use to practitioners in industries focusing on adaptive configuration and optimization in smart grid systems, as well as to students.
Through case studies, it offers a rigorous introduction to the theoretical foundations, techniques, and practical solutions cyber physical systems offer. Building CPS with effective communication, control, intelligence, and security is discussed from societal and research perspectives and a forum for researchers and practitioners to exchange ideas and achieve progress in CPS is provided by highlighting applications, advances, and research challenges. This set also offers a comprehensive look at cyber threats, attacks, metrics, risk, situational awareness, intrusion detection, and security testing, providing a valuable reference set for current system owners who wish to configure and operate their industrial control systems securely.
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Smart Grids as Cyber Physical Systems, a new two-volume set from Wiley-Scrivener, provides a comprehensive overview of the fundamental security of supervisory control and data acquisition (SCADA) systems, offering clarity on specific operating and security issues that may arise that deteriorate the overall operation and efficiency of smart grid systems. It also provides techniques to monitor and protect systems, as well as aids for designing a threat-free system.
This second volume focuses mainly on smart cities, transportation, and infrastructure, but the set as a whole discusses how artificial intelligence may be extensively deployed in the prediction of energy generation, electric grid-related line loss prediction, load forecasting, and for predicting equipment failure prevention. It also discusses power generation systems, building service systems, and explores advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms. Additionally, it explores research contributions of experts in cyber physical systems (CPS) infrastructure systems, incorporating sustainability by embedding computing and communication in day-to-day smart grid applications. This two-volume will be of immense use to practitioners in industries focusing on adaptive configuration and optimization in smart grid systems, as well as to students.
Through case studies, it offers a rigorous introduction to the theoretical foundations, techniques, and practical solutions cyber physical systems offer. Building CPS with effective communication, control, intelligence, and security is discussed from societal and research perspectives and a forum for researchers and practitioners to exchange ideas and achieve progress in CPS is provided by highlighting applications, advances, and research challenges. This set also offers a comprehensive look at cyber threats, attacks, metrics, risk, situational awareness, intrusion detection, and security testing, providing a valuable reference set for current system owners who wish to configure and operate their industrial control systems securely.
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Author / Editor Details
O. V. Gnana Swathika, PhD received a PhD in electrical engineering from Vellore Institute of Technology University, Chennai, Tamilnadu, India, in 2017. She also completed her post-doctoral studies at the University of Moratuwa, Sri Lanka in 2019. Her current research interests include microgrid protection and energy management systems.
O. V. Gnana Swathika, PhD received a PhD in electrical engineering from Vellore Institute of Technology University, Chennai, Tamilnadu, India, in 2017. She also completed her post-doctoral studies at the University of Moratuwa, Sri Lanka in 2019. Her current research interests include microgrid protection and energy management systems.
K. Karthikeyan is the chief engineering manager of electrical designs for Larsen and Toubro Construction, a multinational Indian contracting company. He has two decades of experience in electrical design and has contributed to several projects including the Building airports, railway stations and depots, hospitals, and educational buildings in India and abroad. His primary role involves preparing and reviewing complete electrical system designs up to 110KV voltage levels, acting as a point of contact between clients and projects teams, peer review, and project management.
P. Sanjeevikumar, PhD is a faculty member in the Department of Energy Technology, Aalborg University, Esbjerg, Denmark. He has authored over three hundred scientific papers and an editor for several academic journals. He is a fellow of the Institution of Engineers, India, the Institution of Electronics and Telecommunication Engineers, India, and the Institution of Engineering and Technology, U.K.
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Table of Contents
Preface
24. HELPIER – Empowering the Visually Impaired with Packaged Food Through OCR and Object Detection
Joyeeta Dey, Desai Dhyani Dhaval, Desai Zeel Amitkumar and Karmel Arockiasamy
24.1 Introduction
24.2 Literature Survey
24.3 Proposed Methodology
24.3.1 CNN
24.3.2 YOLOv5 Algorithm
24.3.3 Tesseract OCR
24.3.4 Object Detection Using YOLOv5
24.3.5 OCR Using PyTesseract
24.4 Results and Discussion
24.4.1 Model Architecture
24.4.2 Performance Comparison
24.4.3 Overall Performance
24.5 Conclusion
References
25. Smart Energy Metering and Power Theft Detection Using IoT
P. Tejaswi and O.V. Gnana Swathika
25.1 Introduction
25.2 Methodology
25.3 Results and Analysis
25.4 Conclusion
References
26. A Comparison of Object Detection Techniques for Weed Detection in Lentil Fields
Saranya Kavileswarapu and Neelanarayanan Venkatraman
26.1 Introduction
26.2 Materials and Methods
26.2.1 Lentil and Weed Detection Data
26.2.1.1 Image Acquisition
26.2.1.2 Image Labeling
26.2.1.3 Data Augmentation
26.2.1.4 Preprocessing
26.2.2 Overview of Object Detectors
26.2.2.1 YOLOv5
26.2.2.2 Faster - RCNN
26.2.2.3 RetinaNet
26.3 Results and Discussion
26.3.1 YOLOv5
26.3.2 Faster – RCNN
26.3.3 RetinaNet
26.4 Conclusion
References
27. 3D Design of Gate All-Around Field Effect Transistor Using Visual TCAD
B. Srujana, D. Jayanthi, Raji Krishna and D.S. Shylusam
27.1 Introduction
27.2 Device Structure
27.2.1 GAAFET
27.3 Results and Discussion
27.4 Conclusion
Acknowledgment
References
28. Trigate Junctionless Tunnel Field Effect Transistor
Prathyusha Gudelli, D. Jayanthi, Deevena Illuri, Raji Krishna, Rakesh Pendoti and P. Ilanchezhian
28.1 Introduction
28.2 Device Modelling
28.3 Results and Discussion
28.4 Conclusion
Acknowledgment
References
29. Design and Simulation of 10-nm SOI TRI-Gate FinFET Using TCAD
Rizwan Mohammed, Jayanthi D., Hasini Munja, Raji Krishna, Akshitha Pulgam and Vijayalakshmi S.
29.1 Introduction
29.2 Device Structure and Methodology
29.3 Results and Discussion
29.4 Conclusion
Acknowledgement
References
30. Design of 40-nm Hetero-Dielectric Tri-Material Gate Tunnel FET Using Visual TCAD
Nasreen, Gogireddy Sreeja, A. Manivardhan Reddy, D. Jayanthi, Raji Krishna and K. Kavitha
30.1 Introduction
30.2 Device Structure and Methodology
30.3 Results and Discussion
30.4 Conclusion
Acknowledgment
References
31. Critical Review: Smart Vehicle Monitoring and Accident Detection System
Ayush Kumar Pandey, Arshad Iqbal, Vedant Singh Bhanote and O.V. Gnana Swathika
31.1 Introduction
31.2 Internet of Things (IoT)
31.2.1 Car Detection Model
31.2.2 Speed Detection Model
31.2.3 Accident Probability Detector
31.3 Conclusion
References
32. Revolutionizing the Energy Landscape: Exploring the Intersection of Smart Grid Technology for a Sustainable Future
Kalaichelvi Sivaraman, E. Prema and V. Shyam Sundar
32.1 Introduction
32.2 Understanding the Paradigm Shift in Smart Grid Systems
32.3 Parameters and Boundaries of the Study
32.3.1 The Following are Some Key Features of an Upcoming SG
32.3.1.1 Advanced Sensing and Monitoring
32.3.1.2 Communication Networks
32.3.1.3 Intelligent Control and Automation
32.3.1.4 Storage of Energy
32.3.1.5 Cybersecurity
32.4 Significance of Implementing Smart Grid Systems
32.5 Transforming Smart Grid Systems with Artificial Intelligence
32.6 Optimizing Smart Grid Systems Through AI Integration
32.7 Challenges and Prospects
32.8 Enabling Sustainable and Efficient Energy Management Through Advanced Technologies
32.9 Clean Energy Sources
32.10 Integrating Clean Energy Sources into Smart Grid Systems
32.11 Obstacles and Opportunities
32.12 Smart Grid in India and the United Nations Perspective
32.13 Intended Results
32.14 Conclusion
References
33. Smart Biome System
P.S. Abirami, Srinidhi R., Vinotha Premkumar, Manjusa and O.V. Gnana Swathika
33.1 Introduction
33.2 Methodology
33.3 Monitoring System
33.4 Control System
33.5 Water Distribution System
33.6 Results and Discussion
33.7 Conclusion and Future Scope
References
34. A Critical Review on the E-Bike and Its Evolution
Harish Raaghav S.S., Deepak M.M. and O. V. Gnana Swathika
34.1 Introduction
34.2 Bicycle Simulations and Prototype
34.3 Smart Electric Bicycle
34.4 Communication Networks
34.5 Renewable Energy
34.6 BLDC Motor
34.7 Sustainable Charging Technologies
34.8 Conclusion
References
35. Vehicle to Grid and Its Application as a Critical Power Supply
Sajju Karapparambil Thomas, Amin Babu and O.V. Gnana Swastika
35.1 Introduction
35.1.1 Literature Review
35.1.2 Key Findings
35.2 Methodology
35.2.1 Rectifier
35.2.2 Controlled Relay
35.2.3 Bidirectional Converter
35.2.4 Inverter
35.2.5 Functional Block
35.2.6 PI Controller
35.3 Working
35.3.1 Charging
35.3.2 Discharging
35.3.3 Relays
35.3.4 Microcontroller
35.3.5 PI Controller
35.4 Design
35.4.1 The Hardware Implementation
35.5 Results
35.6 Discussion
35.7 Conclusion
Bibliography
36. Smart Vehicle Monitoring and Accident Detection System
Vedant Singh Bhanote, Ayush Kumar Pandey, Arshad Iqbal and O.V. Gnana Swathika
Abbreviations and Nomenclature
Literature Review
36.1 Introduction
36.1.1 Motivation
36.1.2 Objectives
36.1.3 Scope of the Work
36.2 Methodology
36.2.1 Overview of Project
36.2.2 Modules of the Project
36.2.2.1 Module 1
36.2.2.2 Module 2
36.2.2.3 Module 3
36.3 Design Specifications
36.3.1 Design Approach
36.3.1.1 Standards of Modules Used
36.3.1.2 Limitations of the Project
36.3.1.3 Other Methods or Future Extensions
36.4 Project Demonstration
36.4.1 Introduction
36.4.2 Simulation Results
36.4.3 Hardware Results
36.5 Conclusion
36.6 Scope of Work
36.7 Summary
Bibliography
37. Technical Overview of ZEB for Real-World Problems
Bhavithrah Jegan, Nagathevan N., Shruti B., Solomon F. X. and O.V. Gnana Swathika
37.1 Introduction
37.2 Design and Construction of ZEBs
37.3 Energy and Resource Management
37.4 Research and Development Around the World
37.5 Climatic Effects of Conventional Structures
37.6 Conclusion
References
38. Simulation of Lithium-Ion Battery-Based Electric Vehicle with Longitudinal Driver Control
M. Ajay Kumar, N. Manideep, M. Karthik, P.S.S.R. Lokesh and Md. Yasin
38.1 Introduction
38.2 Mathematical Modeling of Electrical Vehicle
38.3 Simulation Model and Circuit Design
38.3.1 Vehicle Body
38.3.2 Longitudinal Driver
38.3.3 Complete Model of an EV
38.4 Results and Analysis
38.5 Conclusion
References
39. Applications of Quantum Computers in Smart Grids: A Critical Review
Rithvik Raj and O.V. Gnana Swathika
39.1 Introduction
39.2 Applications
39.3 Cryptography
39.4 Conclusion
References
40. IoT-Based Optimal Power Generation Monitoring in Hybrid Power Plant System for Effective Grid Maintenance
T. Kalavathi Devi, S. Umadevi, P. Sakthivel and K.S. Renuha Devi
40.1 Introduction to Optimal Power Generation
40.2 Materials and Methods
40.2.1 IoT Based Measurement and Monitoring
40.2.2 Block Diagram of Optimal Power Generation
40.2.3 Overall Interfacing Circuits of Power Generation
40.3 Signal Conditioning Circuits
40.3.1 Power Supply Unit
40.3.2 Voltage Divider Circuit
40.3.3 Interfacing in PIC
40.4 Results and Discussion
40.4.1 Wind Power Unit
40.4.2 Thermal Power Unit
40.4.3 Result Analysis
40.4.3.1 Calculation for Optimal Power Generation
40.5 Conclusion
References
41. Profiled Side Channel Power Attack on Charge Balancing Symmetric Pre-Resolve Adiabatic Logic PRESENT S-Box Using Convolutional Neural Networks
Anjana Jyothi Banu, A. Prathiba, S. Shyam Krishna, Suraj Peddhibhotla and V. S. Kanchana Bhaaskaran
41.1 Introduction
41.2 Background
41.3 Side Channel Attack Characterization in VLSI Implementations
41.3.1 PRESENT-80 Block Cipher
41.3.2 S-Box Structure in Charge Balancing Symmetric Pre-Resolves Adiabatic Logic-Attack Point and Dataset Preparation
41.4 CNN Model Power Attack Mechanism
41.4.1 Attack Methodology
41.4.2 Experimental Framework and Proposed CNN Model
41.4.3 Methodology of the CNN Classifier – Label Preparation
41.5 Results and Perspectives
41.6 Conclusions and Future Work
41.7 Funding
41.8 Declaration of Conflicts of Interest
References
42. Reduction of Battery Life Deterioration Using Fast Charging Algorithms for Hybrid Electric Vehicles – A Review
Febin Daya J. L., Hritobroto Sanyal, P. Pugazhendiran and Balamurugan Parandhaman
42.1 Introduction
42.2 Trends of Fast Charging
42.2.1 Ultra-Fast Charging
42.2.2 Architecture of Ultra-Fast Charging Stations
42.3 Fast Charging Algorithms
42.4 Conclusion
Conflicts of Interest
References
43. A Short Review on Bidirectional Converters for EV Applications
P. Shyam Sundar, P. Shrisrinivas, Sambit Patra and G. Kanimozhi
43.1 Introduction
43.2 Bidirectional Power Converters for EV Applications
43.2.1 Bidirectional DC-DC Converter (BDDC) with Coupled Inductor
43.2.2 Switched-Capacitor BDDC Topology
43.2.3 Non-Isolated BDDC Topology
43.2.4 Hybrid Switched-Capacitor Architectures
43.2.5 Switched-Capacitor Interleaved BDDC
43.2.6 Switched Quasi-Z-Source BDDC
43.2.7 Single-Phase Dual-Mode Interleaved Multilevel Inverter (DMIMLI)
43.2.8 High Conversion Ratio Three-Phase BDDC
43.2.9 Bidirectional DC-DC Capability for Batteries/Supercapacitors
43.2.10 Cascaded Non-Isolated BDDC
43.2.11 Reviewing the Other BDDC
43.2.12 Full-Bridge (FB) Bidirectional and Reversible DDC
43.2.13 Isolated Modes of Converters
43.3 Hybrid BDDC
43.4 Comparison with Different Topologies and Their Performances
43.5 Current Trends
43.6 Conclusion
References
44. Intelligent Health Care Assisting System for Paralyzed Patients
Mohamed Musthafa P.K., Jacob Alex Kuzhuvelil, G. Kanimozhi and Ravi Samikannu
44.1 Introduction
44.2 Digital Health Care Technologies
44.3 Types of Paralysis and Their Causes
44.4 Related Works
44.5 Proposed Block Diagram and E-Survey
44.6 Proposed Methodology
44.7 Flow Chart and Simulation Result
44.8 Experimental Results and Mobile App Development
44.9 Conclusion
References
45. Solar Microgrid Remote Monitoring System Using IoT
T. Anushalini, B. Sri Revathi and Sheik Mohammed Sultan
45.1 Introduction
45.2 Motivation
45.3 MPPT of Solar Panels
45.4 Analytics of IoT Solar Rays
45.5 Network of Things (IoT)
45.6 Background
45.7 Proposed System
45.8 Work Flow of Proposed System
45.9 System Description
45.10 Smart Monitoring Devices (SMD) for Solar IoT Control
45.11 Future Work
45.12 Conclusion
References
Index
Back to Top
Preface
24. HELPIER – Empowering the Visually Impaired with Packaged Food Through OCR and Object Detection
Joyeeta Dey, Desai Dhyani Dhaval, Desai Zeel Amitkumar and Karmel Arockiasamy
24.1 Introduction
24.2 Literature Survey
24.3 Proposed Methodology
24.3.1 CNN
24.3.2 YOLOv5 Algorithm
24.3.3 Tesseract OCR
24.3.4 Object Detection Using YOLOv5
24.3.5 OCR Using PyTesseract
24.4 Results and Discussion
24.4.1 Model Architecture
24.4.2 Performance Comparison
24.4.3 Overall Performance
24.5 Conclusion
References
25. Smart Energy Metering and Power Theft Detection Using IoT
P. Tejaswi and O.V. Gnana Swathika
25.1 Introduction
25.2 Methodology
25.3 Results and Analysis
25.4 Conclusion
References
26. A Comparison of Object Detection Techniques for Weed Detection in Lentil Fields
Saranya Kavileswarapu and Neelanarayanan Venkatraman
26.1 Introduction
26.2 Materials and Methods
26.2.1 Lentil and Weed Detection Data
26.2.1.1 Image Acquisition
26.2.1.2 Image Labeling
26.2.1.3 Data Augmentation
26.2.1.4 Preprocessing
26.2.2 Overview of Object Detectors
26.2.2.1 YOLOv5
26.2.2.2 Faster - RCNN
26.2.2.3 RetinaNet
26.3 Results and Discussion
26.3.1 YOLOv5
26.3.2 Faster – RCNN
26.3.3 RetinaNet
26.4 Conclusion
References
27. 3D Design of Gate All-Around Field Effect Transistor Using Visual TCAD
B. Srujana, D. Jayanthi, Raji Krishna and D.S. Shylusam
27.1 Introduction
27.2 Device Structure
27.2.1 GAAFET
27.3 Results and Discussion
27.4 Conclusion
Acknowledgment
References
28. Trigate Junctionless Tunnel Field Effect Transistor
Prathyusha Gudelli, D. Jayanthi, Deevena Illuri, Raji Krishna, Rakesh Pendoti and P. Ilanchezhian
28.1 Introduction
28.2 Device Modelling
28.3 Results and Discussion
28.4 Conclusion
Acknowledgment
References
29. Design and Simulation of 10-nm SOI TRI-Gate FinFET Using TCAD
Rizwan Mohammed, Jayanthi D., Hasini Munja, Raji Krishna, Akshitha Pulgam and Vijayalakshmi S.
29.1 Introduction
29.2 Device Structure and Methodology
29.3 Results and Discussion
29.4 Conclusion
Acknowledgement
References
30. Design of 40-nm Hetero-Dielectric Tri-Material Gate Tunnel FET Using Visual TCAD
Nasreen, Gogireddy Sreeja, A. Manivardhan Reddy, D. Jayanthi, Raji Krishna and K. Kavitha
30.1 Introduction
30.2 Device Structure and Methodology
30.3 Results and Discussion
30.4 Conclusion
Acknowledgment
References
31. Critical Review: Smart Vehicle Monitoring and Accident Detection System
Ayush Kumar Pandey, Arshad Iqbal, Vedant Singh Bhanote and O.V. Gnana Swathika
31.1 Introduction
31.2 Internet of Things (IoT)
31.2.1 Car Detection Model
31.2.2 Speed Detection Model
31.2.3 Accident Probability Detector
31.3 Conclusion
References
32. Revolutionizing the Energy Landscape: Exploring the Intersection of Smart Grid Technology for a Sustainable Future
Kalaichelvi Sivaraman, E. Prema and V. Shyam Sundar
32.1 Introduction
32.2 Understanding the Paradigm Shift in Smart Grid Systems
32.3 Parameters and Boundaries of the Study
32.3.1 The Following are Some Key Features of an Upcoming SG
32.3.1.1 Advanced Sensing and Monitoring
32.3.1.2 Communication Networks
32.3.1.3 Intelligent Control and Automation
32.3.1.4 Storage of Energy
32.3.1.5 Cybersecurity
32.4 Significance of Implementing Smart Grid Systems
32.5 Transforming Smart Grid Systems with Artificial Intelligence
32.6 Optimizing Smart Grid Systems Through AI Integration
32.7 Challenges and Prospects
32.8 Enabling Sustainable and Efficient Energy Management Through Advanced Technologies
32.9 Clean Energy Sources
32.10 Integrating Clean Energy Sources into Smart Grid Systems
32.11 Obstacles and Opportunities
32.12 Smart Grid in India and the United Nations Perspective
32.13 Intended Results
32.14 Conclusion
References
33. Smart Biome System
P.S. Abirami, Srinidhi R., Vinotha Premkumar, Manjusa and O.V. Gnana Swathika
33.1 Introduction
33.2 Methodology
33.3 Monitoring System
33.4 Control System
33.5 Water Distribution System
33.6 Results and Discussion
33.7 Conclusion and Future Scope
References
34. A Critical Review on the E-Bike and Its Evolution
Harish Raaghav S.S., Deepak M.M. and O. V. Gnana Swathika
34.1 Introduction
34.2 Bicycle Simulations and Prototype
34.3 Smart Electric Bicycle
34.4 Communication Networks
34.5 Renewable Energy
34.6 BLDC Motor
34.7 Sustainable Charging Technologies
34.8 Conclusion
References
35. Vehicle to Grid and Its Application as a Critical Power Supply
Sajju Karapparambil Thomas, Amin Babu and O.V. Gnana Swastika
35.1 Introduction
35.1.1 Literature Review
35.1.2 Key Findings
35.2 Methodology
35.2.1 Rectifier
35.2.2 Controlled Relay
35.2.3 Bidirectional Converter
35.2.4 Inverter
35.2.5 Functional Block
35.2.6 PI Controller
35.3 Working
35.3.1 Charging
35.3.2 Discharging
35.3.3 Relays
35.3.4 Microcontroller
35.3.5 PI Controller
35.4 Design
35.4.1 The Hardware Implementation
35.5 Results
35.6 Discussion
35.7 Conclusion
Bibliography
36. Smart Vehicle Monitoring and Accident Detection System
Vedant Singh Bhanote, Ayush Kumar Pandey, Arshad Iqbal and O.V. Gnana Swathika
Abbreviations and Nomenclature
Literature Review
36.1 Introduction
36.1.1 Motivation
36.1.2 Objectives
36.1.3 Scope of the Work
36.2 Methodology
36.2.1 Overview of Project
36.2.2 Modules of the Project
36.2.2.1 Module 1
36.2.2.2 Module 2
36.2.2.3 Module 3
36.3 Design Specifications
36.3.1 Design Approach
36.3.1.1 Standards of Modules Used
36.3.1.2 Limitations of the Project
36.3.1.3 Other Methods or Future Extensions
36.4 Project Demonstration
36.4.1 Introduction
36.4.2 Simulation Results
36.4.3 Hardware Results
36.5 Conclusion
36.6 Scope of Work
36.7 Summary
Bibliography
37. Technical Overview of ZEB for Real-World Problems
Bhavithrah Jegan, Nagathevan N., Shruti B., Solomon F. X. and O.V. Gnana Swathika
37.1 Introduction
37.2 Design and Construction of ZEBs
37.3 Energy and Resource Management
37.4 Research and Development Around the World
37.5 Climatic Effects of Conventional Structures
37.6 Conclusion
References
38. Simulation of Lithium-Ion Battery-Based Electric Vehicle with Longitudinal Driver Control
M. Ajay Kumar, N. Manideep, M. Karthik, P.S.S.R. Lokesh and Md. Yasin
38.1 Introduction
38.2 Mathematical Modeling of Electrical Vehicle
38.3 Simulation Model and Circuit Design
38.3.1 Vehicle Body
38.3.2 Longitudinal Driver
38.3.3 Complete Model of an EV
38.4 Results and Analysis
38.5 Conclusion
References
39. Applications of Quantum Computers in Smart Grids: A Critical Review
Rithvik Raj and O.V. Gnana Swathika
39.1 Introduction
39.2 Applications
39.3 Cryptography
39.4 Conclusion
References
40. IoT-Based Optimal Power Generation Monitoring in Hybrid Power Plant System for Effective Grid Maintenance
T. Kalavathi Devi, S. Umadevi, P. Sakthivel and K.S. Renuha Devi
40.1 Introduction to Optimal Power Generation
40.2 Materials and Methods
40.2.1 IoT Based Measurement and Monitoring
40.2.2 Block Diagram of Optimal Power Generation
40.2.3 Overall Interfacing Circuits of Power Generation
40.3 Signal Conditioning Circuits
40.3.1 Power Supply Unit
40.3.2 Voltage Divider Circuit
40.3.3 Interfacing in PIC
40.4 Results and Discussion
40.4.1 Wind Power Unit
40.4.2 Thermal Power Unit
40.4.3 Result Analysis
40.4.3.1 Calculation for Optimal Power Generation
40.5 Conclusion
References
41. Profiled Side Channel Power Attack on Charge Balancing Symmetric Pre-Resolve Adiabatic Logic PRESENT S-Box Using Convolutional Neural Networks
Anjana Jyothi Banu, A. Prathiba, S. Shyam Krishna, Suraj Peddhibhotla and V. S. Kanchana Bhaaskaran
41.1 Introduction
41.2 Background
41.3 Side Channel Attack Characterization in VLSI Implementations
41.3.1 PRESENT-80 Block Cipher
41.3.2 S-Box Structure in Charge Balancing Symmetric Pre-Resolves Adiabatic Logic-Attack Point and Dataset Preparation
41.4 CNN Model Power Attack Mechanism
41.4.1 Attack Methodology
41.4.2 Experimental Framework and Proposed CNN Model
41.4.3 Methodology of the CNN Classifier – Label Preparation
41.5 Results and Perspectives
41.6 Conclusions and Future Work
41.7 Funding
41.8 Declaration of Conflicts of Interest
References
42. Reduction of Battery Life Deterioration Using Fast Charging Algorithms for Hybrid Electric Vehicles – A Review
Febin Daya J. L., Hritobroto Sanyal, P. Pugazhendiran and Balamurugan Parandhaman
42.1 Introduction
42.2 Trends of Fast Charging
42.2.1 Ultra-Fast Charging
42.2.2 Architecture of Ultra-Fast Charging Stations
42.3 Fast Charging Algorithms
42.4 Conclusion
Conflicts of Interest
References
43. A Short Review on Bidirectional Converters for EV Applications
P. Shyam Sundar, P. Shrisrinivas, Sambit Patra and G. Kanimozhi
43.1 Introduction
43.2 Bidirectional Power Converters for EV Applications
43.2.1 Bidirectional DC-DC Converter (BDDC) with Coupled Inductor
43.2.2 Switched-Capacitor BDDC Topology
43.2.3 Non-Isolated BDDC Topology
43.2.4 Hybrid Switched-Capacitor Architectures
43.2.5 Switched-Capacitor Interleaved BDDC
43.2.6 Switched Quasi-Z-Source BDDC
43.2.7 Single-Phase Dual-Mode Interleaved Multilevel Inverter (DMIMLI)
43.2.8 High Conversion Ratio Three-Phase BDDC
43.2.9 Bidirectional DC-DC Capability for Batteries/Supercapacitors
43.2.10 Cascaded Non-Isolated BDDC
43.2.11 Reviewing the Other BDDC
43.2.12 Full-Bridge (FB) Bidirectional and Reversible DDC
43.2.13 Isolated Modes of Converters
43.3 Hybrid BDDC
43.4 Comparison with Different Topologies and Their Performances
43.5 Current Trends
43.6 Conclusion
References
44. Intelligent Health Care Assisting System for Paralyzed Patients
Mohamed Musthafa P.K., Jacob Alex Kuzhuvelil, G. Kanimozhi and Ravi Samikannu
44.1 Introduction
44.2 Digital Health Care Technologies
44.3 Types of Paralysis and Their Causes
44.4 Related Works
44.5 Proposed Block Diagram and E-Survey
44.6 Proposed Methodology
44.7 Flow Chart and Simulation Result
44.8 Experimental Results and Mobile App Development
44.9 Conclusion
References
45. Solar Microgrid Remote Monitoring System Using IoT
T. Anushalini, B. Sri Revathi and Sheik Mohammed Sultan
45.1 Introduction
45.2 Motivation
45.3 MPPT of Solar Panels
45.4 Analytics of IoT Solar Rays
45.5 Network of Things (IoT)
45.6 Background
45.7 Proposed System
45.8 Work Flow of Proposed System
45.9 System Description
45.10 Smart Monitoring Devices (SMD) for Solar IoT Control
45.11 Future Work
45.12 Conclusion
References
Index
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