{"product_id":"resilient-community-microgrids-hardback-9781394272518","title":"Resilient Community Microgrids (Hardback) 9781394272518","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eResilient Community Microgrids\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eO. V. Gnana Swathika (Edited by), K. Karthikeyan (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394272518, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 21 July 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e608 pages\u003cbr\u003e25 x 15 x 1.5 cm, 0.907 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eDiscover how to empower your community with sustainable energy solutions with \u003ci\u003eResilient Community Microgrids,\u003c\/i\u003e a comprehensive guide that explores the integration of innovative technologies and distributed energy resources to enhance local energy independence and resilience.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eResilient Community Microgrids\u003c\/i\u003e emphasizes opportunities to incorporate distributed energy resources and communication networks to build a cyber-physical community microgrid system by modelling photovoltaics, energy storage units, micro-turbines, and wind energy. The microgrid proves itself as a sustainable archetype to improve the resilience and reliability of power distribution networks. High-distributed energy resources penetrate communities, unlocking the potential to build the resilience of microgrids. Neighborhoods, villages, towns, and cities can meet their local energy needs by utilizing community microgrids. Community microgrids are being considered as a possibility even in locations where a bigger grid already exists, primarily as a means of boosting local energy independence and resilience. The fundamentals of community microgrids are covered in this book, along with an outline of how to join one and the factors contributing to their rising popularity.\u003c\/p\u003e \u003cp\u003eNovel technologies arrive with the potential to integrate with the physical microgrid to realize the next generation in cyber-physical microgrid systems, which can be used as a prototype to demonstrate and promote the development of next-generation microgrids. \u003ci\u003eResilient Community Microgrids\u003c\/i\u003e will clarify the ways to enhance a cyber-physical system's resilience that significantly contributes to realizing innovative and sustainable development in the energy sector.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xxiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 AI-Based Virtual Advisor for Smart Climate Farming 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eS. Ramanan, Mekala Sujan, Swati Kumari and O.V. Gnana Swathika\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Research on Smart Farming Technologies and AI Applications 6\u003c\/p\u003e \u003cp\u003e1.3 AI and IoT in Smart Farming 13\u003c\/p\u003e \u003cp\u003e1.4 Sustainable Agriculture and Climate-Smart Farming 18\u003c\/p\u003e \u003cp\u003e1.5 Conclusion 24\u003c\/p\u003e \u003cp\u003eReferences 25\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Swappable Battery Pack System for Electric Two-Wheelers: Design, Infrastructure, and Implementation 31\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnibal Hadriano Akhiles Mezaib Boti, Arun Sanjey Krushna S. R., Eashwar M. V., Harsh Shekar, Sidhardh C. R. and O. V. Gnana Swathika\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 32\u003c\/p\u003e \u003cp\u003e2.2 Swappable Battery Technology 39\u003c\/p\u003e \u003cp\u003e2.3 Battery Swapping Infrastructure and Optimization 44\u003c\/p\u003e \u003cp\u003e2.4 Battery Management System 55\u003c\/p\u003e \u003cp\u003e2.5 Business Models and Economic Implications 64\u003c\/p\u003e \u003cp\u003e2.6 Conclusion 72\u003c\/p\u003e \u003cp\u003eReferences 72\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Implementation of High Gain Bidirectional Interleaved DC\/DC Converter for Electric Vehicles with Supercapacitors 81\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAkash Ramesh, Narendran G. and Kanimozhi G.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 82\u003c\/p\u003e \u003cp\u003e3.2 Proposed Converter 83\u003c\/p\u003e \u003cp\u003e3.3 Operating Principle of the HGBID Converter 83\u003c\/p\u003e \u003cp\u003e3.4 Design Considerations 90\u003c\/p\u003e \u003cp\u003e3.5 Characteristics of SC 91\u003c\/p\u003e \u003cp\u003e3.6 Simulation Results 93\u003c\/p\u003e \u003cp\u003e3.7 Conclusion 99\u003c\/p\u003e \u003cp\u003eReferences 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Fault Over-Ride and Minimization of Losses in a PV Integrated Transmission Network Using STATCOM 101\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGutha Naveen Kumar, A. Sindhuri, D. Siva Leela, T. Tejaswini, S. Lalitha Sri and G. V. N. Chandrika\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 102\u003c\/p\u003e \u003cp\u003e4.2 Problem Statement 103\u003c\/p\u003e \u003cp\u003e4.3 Contingency Analysis and Contingency Selection 103\u003c\/p\u003e \u003cp\u003e4.4 Test System, Software and Components Used 104\u003c\/p\u003e \u003cp\u003e4.4.1 Test System and Software 104\u003c\/p\u003e \u003cp\u003e4.4.2 PV Generators Integration 106\u003c\/p\u003e \u003cp\u003e4.4.3 Static Synchronous Compensator (STATCOM) 106\u003c\/p\u003e \u003cp\u003e4.5 Results and Analysis 107\u003c\/p\u003e \u003cp\u003e4.5.1 Bus Network Integrated with Solar Photo-Voltaic Generators 107\u003c\/p\u003e \u003cp\u003e4.5.2 Test Bus Network with One STATCOM Installed at Bus 6 108\u003c\/p\u003e \u003cp\u003e4.6 IEEE 14 Bus Network with Two STATCOMs Installed at Bus 2 and Bus 6 112\u003c\/p\u003e \u003cp\u003e4.7 Conclusion 117\u003c\/p\u003e \u003cp\u003e4.8 Future Scope 117\u003c\/p\u003e \u003cp\u003eReferences 117\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Oscillating Water Column as Clean Energy Source for Sustainable Power Generation 119\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGutha Naveen Kumar, P. Manoj Venkat, S. Vasanth Prakash, A. Harish and V. Sai Srikanth\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction to Technology 119\u003c\/p\u003e \u003cp\u003e5.2 Hardware Implementation 120\u003c\/p\u003e \u003cp\u003e5.3 Three-Dimensional Design of Hardware Components in Solid Edge Software 122\u003c\/p\u003e \u003cp\u003e5.4 Hardware Implementation Results and Performance Analysis of Oscillating Water Column (OWC) 124\u003c\/p\u003e \u003cp\u003e5.5 Conclusion 127\u003c\/p\u003e \u003cp\u003e5.6 Future Scope 128\u003c\/p\u003e \u003cp\u003eReferences 128\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Cloud-Based Big Data Architecture and Infrastructure 131\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eShermy R. P. and Saranya N.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 132\u003c\/p\u003e \u003cp\u003e6.2 Big Data Architecture for the Cloud Fundamentals 137\u003c\/p\u003e \u003cp\u003e6.3 Overview of Methods for Ingesting Data, Including Batch Operations and Live Streaming 140\u003c\/p\u003e \u003cp\u003e6.4 Technologies for Big Data on the Cloud 144\u003c\/p\u003e \u003cp\u003e6.5 Overview of Server Less Computing and Its Benefits for Cost Optimization and Scaling 146\u003c\/p\u003e \u003cp\u003e6.6 Big Data Architectural Models for the Cloud 149\u003c\/p\u003e \u003cp\u003e6.7 Integration of Cloud Services and Big Data 152\u003c\/p\u003e \u003cp\u003e6.7.1 How to Combine Big Data Platforms with Cloud Services Including Analytics, Compute and Storage\u003c\/p\u003e \u003cp\u003e152\u003c\/p\u003e \u003cp\u003e6.8 Examining Data Integration and ETL (Extract, Transform, Load) Methods Based on the Cloud 155\u003c\/p\u003e \u003cp\u003e6.9 Overview of Cloud-Based Big Data Environments’ Data Governance and Metadata Management 157\u003c\/p\u003e \u003cp\u003e6.10 Analysis of Cloud-Based Big Data Architectures’ Scalability Issues 159\u003c\/p\u003e \u003cp\u003e6.11 Examining Vertical and Horizontal Scaling Methods to Succeed in Processing Demands and Growing\u003c\/p\u003e \u003cp\u003eData Volumes 162\u003c\/p\u003e \u003cp\u003e6.12 Introduction to Cloud-Based Big Data Architectures’ Performance Optimization Strategies 164\u003c\/p\u003e \u003cp\u003e6.13 Big Data Based on the Cloud is Secure and Private 166\u003c\/p\u003e \u003cp\u003e6.14 A Description of the Mechanisms for Data Encryption, Access Regulation and Identity\u003c\/p\u003e \u003cp\u003eAdministration 169\u003c\/p\u003e \u003cp\u003e6.15 Examination of Privacy Issues and Data Protection Laws Compliance 171\u003c\/p\u003e \u003cp\u003e6.16 Case Studies and Real-World Applications 173\u003c\/p\u003e \u003cp\u003e6.17 Future Directions and Trends 178\u003c\/p\u003e \u003cp\u003e6.18 Future Developments Prediction and Scalable and Efficient Data Processing Implications 182\u003c\/p\u003e \u003cp\u003e6.19 Conclusion 184\u003c\/p\u003e \u003cp\u003e6.20 Emphasis on Cloud-Based Big Data Architecture and Infrastructure’s Potential for Transformation\u003c\/p\u003e \u003cp\u003e186\u003c\/p\u003e \u003cp\u003e6.21 Motivating Companies to Adopt Cloud-Based Big Data Technologies 187\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 RISC-V Processor Hardware Modelling with Custom Instruction Set for SHA-3 Acceleration 189\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePaulson K. Antony, Nikshith Narayan Ramesh, Pranav Suryadevara and Prathiba A.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 190\u003c\/p\u003e \u003cp\u003e7.2 State of the Art 191\u003c\/p\u003e \u003cp\u003e7.3 Keccak Algorithm in SHA- 3 192\u003c\/p\u003e \u003cp\u003e7.4 RISC-V Instruction Set Architecture 193\u003c\/p\u003e \u003cp\u003e7.5 Custom Instructions for SHA-3 Hashing 195\u003c\/p\u003e \u003cp\u003e7.6 Proposed Processor Microarchitecture 199\u003c\/p\u003e \u003cp\u003e7.7 Results and Discussion 201\u003c\/p\u003e \u003cp\u003e7.8 Conclusion 209\u003c\/p\u003e \u003cp\u003eReferences 211\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 SSL Vulnerability Exploitation Analysis Tool to Provide a Secure and Sustainable Network for Smart Cities 215\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSmita Kapse, Sayudh Deshmukh, Aditya Mandhare, Akshay Mankar, Shivam Likhar and Vaibhav Malgewar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 216\u003c\/p\u003e \u003cp\u003e8.2 Related Work 217\u003c\/p\u003e \u003cp\u003e8.3 Research Methodology 218\u003c\/p\u003e \u003cp\u003e8.4 Experimental Results 220\u003c\/p\u003e \u003cp\u003e8.5 Conclusion 223\u003c\/p\u003e \u003cp\u003eReferences 223\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Service-Oriented Smart City Vigilant Data Hub for Social Innovation 227\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNagajayanthi.B, A. Kaushal Kanna and Shubham Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 228\u003c\/p\u003e \u003cp\u003e9.2 Background and Literature Review 229\u003c\/p\u003e \u003cp\u003e9.3 App Architecture and Technology Stack 229\u003c\/p\u003e \u003cp\u003e9.4 User Registration and Authentication 230\u003c\/p\u003e \u003cp\u003e9.5 Features and Functionality 233\u003c\/p\u003e \u003cp\u003e9.6 User Experience and Interface Design 237\u003c\/p\u003e \u003cp\u003e9.7 Data Privacy and Security 239\u003c\/p\u003e \u003cp\u003e9.8 Real-Time Updates and Push Notifications from the App 241\u003c\/p\u003e \u003cp\u003e9.9 Scalability and Performance Optimization 241\u003c\/p\u003e \u003cp\u003e9.10 User Engagement Analytics 243\u003c\/p\u003e \u003cp\u003e9.11 Impact and User Engagement 243\u003c\/p\u003e \u003cp\u003e9.12 Citizen User Flow and Admin Access User Flow 245\u003c\/p\u003e \u003cp\u003e9.13 Conclusion 246\u003c\/p\u003e \u003cp\u003e9.14 Future Potential 247\u003c\/p\u003e \u003cp\u003eReferences 249\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 A Survey on AI \u0026amp; ML for Autonomous Driving, User Behavior Monitoring, and Intelligent Navigation in EVs 251\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDivij Kharche, Nilankan Pal, Febin Daya J. L. and Balamurugan Parandhaman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 252\u003c\/p\u003e \u003cp\u003e10.2 Survey Overview 254\u003c\/p\u003e \u003cp\u003e10.3 Objectives of this Work 255\u003c\/p\u003e \u003cp\u003e10.4 Methodologies 256\u003c\/p\u003e \u003cp\u003e10.5 Outcome 261\u003c\/p\u003e \u003cp\u003e10.6 Applications of the Proposed Model 263\u003c\/p\u003e \u003cp\u003e10.7 Demonstration of Autonomous Driving Car Using Pygame 264\u003c\/p\u003e \u003cp\u003e10.8 Conclusion 267\u003c\/p\u003e \u003cp\u003eReferences 268\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Deep Learning in Waste Management and Recycling in Digital Smart City 271\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eBabu Kumar S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 272\u003c\/p\u003e \u003cp\u003e11.2 Related Work 274\u003c\/p\u003e \u003cp\u003e11.3 Deep Learning Applications in Waste Management 276\u003c\/p\u003e \u003cp\u003e11.4 Methodology and Model Specifications 277\u003c\/p\u003e \u003cp\u003e11.5 Experimental Results and Discussions 282\u003c\/p\u003e \u003cp\u003e11.6 Conclusion 286\u003c\/p\u003e \u003cp\u003eReferences 287\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Home Automation Using Augmented Reality 289\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eShiva Sri Hari Alagu Uthaya Kumar, Charan V. and Berlin Hency V.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 290\u003c\/p\u003e \u003cp\u003e12.2 Literature Review 290\u003c\/p\u003e \u003cp\u003e12.3 Hardware Analysis 293\u003c\/p\u003e \u003cp\u003e12.4 Methodology 294\u003c\/p\u003e \u003cp\u003e12.5 Results and Discussion 297\u003c\/p\u003e \u003cp\u003e12.6 Conclusion 300\u003c\/p\u003e \u003cp\u003eReferences 301\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Detection and Mitigation Techniques for Defending DDoS Attacks in Cloud Environment 303\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eArchana S. Pimpalkar, S. Akshansh, Annlip Gour, Mayank Junankar and Ankita Ghule\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 303\u003c\/p\u003e \u003cp\u003e13.2 Related Literature Survey 305\u003c\/p\u003e \u003cp\u003e13.3 Related Work 311\u003c\/p\u003e \u003cp\u003e13.4 Conclusion 312\u003c\/p\u003e \u003cp\u003eReferences 312\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Design and Implementation of Secure MQTT Protocol for Embedded IoT Device 315\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eShweta N. Jain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 315\u003c\/p\u003e \u003cp\u003e14.2 Need for Security in IoT Device 316\u003c\/p\u003e \u003cp\u003e14.3 Comparison Between Messaging Protocols Used in IoT Environment 316\u003c\/p\u003e \u003cp\u003e14.4 MQTT Architecture 317\u003c\/p\u003e \u003cp\u003e14.5 Proposed System Objective 319\u003c\/p\u003e \u003cp\u003e14.6 Related Work 319\u003c\/p\u003e \u003cp\u003e14.7 Conclusion and Future Scope 324\u003c\/p\u003e \u003cp\u003eReferences 324\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Internet of Things in Smart Building Management System 327\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSanjeevikumar Padmanaban, Mostafa Azimi Nasab, Mohsen Hatami, Mohammad Zand, Mohammad Ali Dashtaki and Morteza Azimi Nasab\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 328\u003c\/p\u003e \u003cp\u003e15.2 Components of Intelligent Building Management System 331\u003c\/p\u003e \u003cp\u003e15.3 Choosing the Right Building Management System 334\u003c\/p\u003e \u003cp\u003e15.4 Choosing a System 336\u003c\/p\u003e \u003cp\u003e15.5 Conclusion 343\u003c\/p\u003e \u003cp\u003eReferences 343\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Comparative Study of Solid Waste Management in Rural Homestays and Urban Hotels in Sikkim, India 347\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRajani Chhetri\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 348\u003c\/p\u003e \u003cp\u003e16.2 Literature Review 351\u003c\/p\u003e \u003cp\u003e16.3 Methodology 353\u003c\/p\u003e \u003cp\u003e16.4 Result 355\u003c\/p\u003e \u003cp\u003e16.5 Discussion 363\u003c\/p\u003e \u003cp\u003e16.6 Conclusion 364\u003c\/p\u003e \u003cp\u003eReferences 366\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Load Response in the Smart Home Energy Management System 369\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMuhammad Reza Ghahri, Hamid Reza Hanif, Hashmatollah Nourizadeh, Sanjeevikumar Padmanaban, Mostafa Azimi Nasab, Mohammad Zand and Morteza Azimi Nasab\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 370\u003c\/p\u003e \u003cp\u003e17.2 Active Demand Response 376\u003c\/p\u003e \u003cp\u003e17.3 Modeling the Effects of Reimbursement of Load Response Resources 382\u003c\/p\u003e \u003cp\u003e17.4 Conclusion 383\u003c\/p\u003e \u003cp\u003eReferences 383\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Sustainable Agriculture Using IoT Based Smart Irrigation and Intelligent Watering System 387\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eV. Surya Teja, R. Charitha and Sritama Roy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 388\u003c\/p\u003e \u003cp\u003e18.2 Methods and Material 390\u003c\/p\u003e \u003cp\u003e18.3 Problem Statement 391\u003c\/p\u003e \u003cp\u003e18.4 Proposed Methodology 391\u003c\/p\u003e \u003cp\u003e18.5 Simulation Results and Analysis 397\u003c\/p\u003e \u003cp\u003e18.6 Conclusion 402\u003c\/p\u003e \u003cp\u003eReferences 403\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Assessing the Impact of Green Spaces on Climate, Air Quality and Temperature in Urbanized Areas: A Case Study of Colombo 405\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eChameera Udawattha and Upuli Perera\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 406\u003c\/p\u003e \u003cp\u003e19.2 Literature Review 408\u003c\/p\u003e \u003cp\u003e19.3 Data and Methods 417\u003c\/p\u003e \u003cp\u003e19.4 Findings of the Study 420\u003c\/p\u003e \u003cp\u003e19.5 Discussion and Conclusion 431\u003c\/p\u003e \u003cp\u003eReferences 432\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Weed Rate Analysis and Crop Quality Assessment Using Deep Learning 439\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVishwanadha Bhanuprakash and Sivabalakrishnan M.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 440\u003c\/p\u003e \u003cp\u003e20.2 Overview of Deep Learning-Based Architecture 445\u003c\/p\u003e \u003cp\u003e20.3 Deep Learning Models 452\u003c\/p\u003e \u003cp\u003e20.4 Transfer Learning and Domain Adaption 461\u003c\/p\u003e \u003cp\u003e20.5 Precision Agriculture System 467\u003c\/p\u003e \u003cp\u003e20.6 Continual Research and Innovation 470\u003c\/p\u003e \u003cp\u003e20.7 Conclusion 473\u003c\/p\u003e \u003cp\u003eBibliography 474\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 Synergizing Semantic Technology and Deep Learning for Transformative Advances in Digital Agricultural Systems 475\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eShridevi S., Dhivya M. and Ratan Pyla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21.1 Introduction 475\u003c\/p\u003e \u003cp\u003e21.2 Semantic Web Technology in Agriculture 477\u003c\/p\u003e \u003cp\u003e21.3 Deep Learning in Agriculture 483\u003c\/p\u003e \u003cp\u003e21.4 Semantic Deep Learning in Agriculture 489\u003c\/p\u003e \u003cp\u003e21.5 Conclusion 492\u003c\/p\u003e \u003cp\u003eReferences 492\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22 Smart Agriculture Systems 497\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eS. Aravind, P. Vineesha, K. Revathi and Yeligeti Raju\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22.1 Introduction 498\u003c\/p\u003e \u003cp\u003e22.2 Methodology 498\u003c\/p\u003e \u003cp\u003e22.3 User Interface 500\u003c\/p\u003e \u003cp\u003e22.4 Implementation 502\u003c\/p\u003e \u003cp\u003e22.5 Benefits 504\u003c\/p\u003e \u003cp\u003e22.6 Resource Efficiency 505\u003c\/p\u003e \u003cp\u003e22.7 Environmental Impact 505\u003c\/p\u003e \u003cp\u003e22.8 Cost-Benefit Analysis 506\u003c\/p\u003e \u003cp\u003e22.9 Conclusion 507\u003c\/p\u003e \u003cp\u003eBibliography 508\u003c\/p\u003e \u003cp\u003e\u003cb\u003e23 Berklekamp-Massey Algorithm in Reed Solomon Error Detection Technique for Smart Grid\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eApplications 509\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eCladien P., Rayapudi Chandrika, PriyaDharshini R., V. Berlin Hency and O.V. Gnana Swathika\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e23.1 Introduction 510\u003c\/p\u003e \u003cp\u003e23.2 Methodology 511\u003c\/p\u003e \u003cp\u003e23.3 Proposed Method 516\u003c\/p\u003e \u003cp\u003e23.4 Results and Discussion 517\u003c\/p\u003e \u003cp\u003e23.5 Conclusion 518\u003c\/p\u003e \u003cp\u003eReferences 519\u003c\/p\u003e \u003cp\u003e\u003cb\u003e24 Economically Viable Solar–Wind Hybrid Power Generation System for Small- and Medium-Scale\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eApplications 523\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGutha Naveen Kumar and Narsipuram Maharshi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e24.1 Introduction 524\u003c\/p\u003e \u003cp\u003e24.2 Proposed Model 525\u003c\/p\u003e \u003cp\u003e24.3 Implementation of Hybrid Scheme 528\u003c\/p\u003e \u003cp\u003e24.4 Working 529\u003c\/p\u003e \u003cp\u003eReferences 539\u003c\/p\u003e \u003cp\u003e\u003cb\u003e25 Modified Booth Multiplier with Hybrid Adder 541\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eCladien P., Rayapudi Chandrika, V. Berlin Hency and O.V. Gnana Swathika\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e25.1 Introduction 541\u003c\/p\u003e \u003cp\u003e25.2 Methodology 543\u003c\/p\u003e \u003cp\u003e25.3 Proposed Architecture 546\u003c\/p\u003e \u003cp\u003e25.4 Results and Discussion 549\u003c\/p\u003e \u003cp\u003e25.5 Conclusion 550\u003c\/p\u003e \u003cp\u003eReferences 551\u003c\/p\u003e \u003cp\u003e\u003cb\u003e26 Novel Bidirectional Converter Topology for Electric Vehicle Onboard Battery Charger 553\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKanimozhi G. and Mirasree P.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e26.1 Introduction 554\u003c\/p\u003e \u003cp\u003e26.2 Bidirectional Charger Topology with Interleaved Boost Converter 556\u003c\/p\u003e \u003cp\u003e26.3 Circuit Operation of the Charger 557\u003c\/p\u003e \u003cp\u003e26.4 Modes of Operation 558\u003c\/p\u003e \u003cp\u003e26.5 Design Approach 560\u003c\/p\u003e \u003cp\u003e26.6 Simulation Result 560\u003c\/p\u003e \u003cp\u003e26.7 Comparative Analysis 564\u003c\/p\u003e \u003cp\u003e26.8 Conclusion 565\u003c\/p\u003e \u003cp\u003eReferences 566\u003c\/p\u003e \u003cp\u003eIndex 569\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433243603224,"sku":"9781394272518","price":184.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394272518.jpg?v=1784852910","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/resilient-community-microgrids-hardback-9781394272518","provider":"Freshly Printed Books","version":"1.0","type":"link"}