Design and Development of Efficient Energy Systems
- Length: 384 pages
- Edition: 1
- Language: English
- Publisher: Wiley-Scrivener
- Publication Date: 2021-03-19
- ISBN-10: 1119761638
- ISBN-13: 9781119761631
- Sales Rank: #0 (See Top 100 Books)
There is not a single industry which will not be transformed by machine learning and Internet of Things (IoT). IoT and machine learning have altogether changed the technological scenario by letting the user monitor and control things based on the prediction made by machine learning algorithms. There has been substantial progress in the usage of platforms, technologies and applications that are based on these technologies. These breakthrough technologies affect not just the software perspective of the industry, but they cut across areas like smart cities, smart healthcare, smart retail, smart monitoring, control, and others. Because of these “game changers,” governments, along with top companies around the world, are investing heavily in its research and development. Keeping pace with the latest trends, endless research, and new developments is paramount to innovate systems that are not only user-friendly but also speak to the growing needs and demands of society.
This volume is focused on saving energy at different levels of design and automation including the concept of machine learning automation and prediction modeling. It also deals with the design and analysis for IoT-enabled systems including energy saving aspects at different level of operation.
The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research, technological developments, and practical applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of IoT and machine technology, this is a must-have for any library.
Cover Table of Contents Title Page Copyright Preface 1 Design of Low Power Junction-Less Double-Gate MOSFET 1.1 Introduction 1.2 MOSFET Performance Parameters 1.3 Comparison of Existing MOSFET Architectures 1.4 Proposed Heavily Doped Junction-Less Double Gate MOSFET (AJ-DGMOSFET) 1.5 Heavily Doped JL-DG MOSFET for Biomedical Application 1.6 Conclusion References 2 VLSI Implementation of Vedic Multiplier 2.1 Introduction 2.2 8x8 Vedic Multiplier 2.3 The Architecture of 8x8 Vedic Multiplier (VM) 2.4 Results and Discussion 2.5 Conclusion References 3 Gas Leakage Detection from Drainage to Offer Safety for Sanitary Workers 3.1 Introduction 3.2 Related Works 3.3 Methodology 3.4 Experimental Results 3.5 Conclusion References 4 Machine Learning for Smart Healthcare Energy-Efficient System 4.1 Introduction 4.2 Related Works 4.3 Edge Computing 4.4 Smart Healthcare System 4.5 Conclusion and Future Directions References 5 Review of Machine Learning Techniques Used for Intrusion and Malware Detection in WSNs and IoT Devices 5.1 Introduction 5.2 Types of Attacks 5.3 Some Countermeasures for the Attacks 5.4 Machine Learning Solutions 5.5 Machine Learning Algorithms 5.6 Authentication Process Based on Machine Learning 5.7 Internet of Things (IoT) 5.8 IoT-Based Attacks 5.9 Information and Identity Theft 5.10 Social Engineering 5.11 Denial of Service 5.12 Concerns 5.13 Conclusion References 6 Smart Energy-Efficient Techniques for Large-Scale Process Industries 6.1 Pumps Operation 6.2 Vapour Absorption Refrigeration System 6.3 Heat Recovery Equipment 6.4 Lighting System 6.5 Air Conditioners 6.6 Fans and Other Smart Appliances 6.7 Motors 6.8 Energy-Efficient Transformers References 7 Link Restoration and Relay Node Placement in Partitioned Wireless Sensor Network 7.1 Introduction 7.2 Related Work 7.3 Proposed K-Means Clustering Algorithm 7.4 System Model and Assumption 7.5 Results and Discussion 7.6 Conclusions References 8 Frequency Modulated PV Powered MLI Fed Induction Motor Drive for Water Pumping Applications 8.1 Introduction 8.2 PV Panel as Energy Source 8.3 Multi-Level Inverter Topologies 8.4 Experimental Results and Discussion 8.5 Conclusion and Future Scope References 9 Analysis and Design of Bidirectional Circuits for Energy Storage Application 9.1 Introduction 9.2 Modes of Operation Based on Main Converters 9.3 Proposed Methodology for Three-Phase System 9.4 Conclusion References 10 Low-Power IOT-Enabled Energy Systems 10.1 Overview 10.2 Empowering Tools 10.3 Internet of Things within Power Region 10.4 Difficulties - Relating Internet of Things 10.5 Upcoming Developments 10.6 Conclusion References 11 Efficient Renewable Energy Systems Introduction 11.1 Renewable-Based Available Technologies 11.2 Adaptability Frameworks 11.3 Conclusion References 12 Efficient Renewable Energy Systems 12.1 Introduction 12.2 Sources of Energy: Classification 12.3 Renewable Energy Systems 12.4 Solar Energy 12.5 Wind Energy 12.6 Geothermal Energy 12.7 Biomass 12.8 Ocean Power 12.9 Hydrogen 12.10 Hydro Power 12.11 Conclusion References 13 Agriculture-IoT-Based Sprinkler System for Water and Fertilizer Conservation and Management 13.1 Introduction 13.2 Development of the Proposed System 13.3 System Description 13.4 Layers of the System Architecture 13.5 Calibration 13.6 Layout of the Sprinkler System 13.7 Testing 13.8 Results and Discussion 13.9 Conclusion References 14 A Behaviour-Based Authentication to Internet of Things Using Machine Learning 14.1 Introduction 14.2 Basics of Internet of Things (IoT) 14.3 Authentication in IoT 14.4 User Authentication Based on Behavioral-Biometric 14.5 Threats and Challenges in the Current Security Solution for IoT 14.6 Proposed Methodology 14.7 Conclusion and Future Work References 15 A Fuzzy Goal Programming Model for Quality Monitoring of Fruits during Shipment Overseas 15.1 Introduction 15.2 Proposed System 15.3 Work Process 15.4 Optimization Framework 15.5 Creation of Database and Website 15.6 Libraries Used and Code Snipped 15.7 Mode of Communication 15.8 Conclusion Abbreviations References 16 Internet of Things – Definition, Architecture, Applications, Requirements and Key Research Challenges 16.1 Introduction 16.2 Defining the Term Internet of Things (IoT) 16.3 IoT Architecture 16.4 Applications of Internet of Things (IoT) 16.5 Requirement for Internet of Things (IoT) Implementation 16.6 Key Research Challenges in Internet of Things (IoT) References 17 FinFET Technology for Low-Power Applications 17.1 Introduction 17.2 Exiting Multiple-Gate MOSFET Architectures 17.3 FinFET Design and Analysis 17.4 Low-Power Applications 17.5 Conclusion References 18 An Enhanced Power Quality Single-Source Large Step-Up Switched-Capacitor Based Multi-Level Inverter Configuration with Natural Voltage Balancing of Capacitors 18.1 Introduction 18.2 Suggested Topology 18.3 Cascaded Configuration of Suggested Topology 18.4 Modulation Technique 18.5 Power Loss Analysis 18.6 Design of Capacitors 18.7 Comparative Analysis 18.8 Simulation Results 18.9 Conclusions References Index End User License Agreement
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