Design and Development of Efficient Energy Systems (Artificial Intelligence and Soft Computing for Industrial Transformation)

Description

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 Half-Title Page Series Page Title Page Copyright Page Contents 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) 2.3.1 Compressor Architecture 2.4 Results and Discussion 2.4.1 Instance Power 2.4.2 Net Power 2.4.3 8-Bit Multiplier 2.4.4 16-Bit Multiplier 2.4.5 Applications of Multiplier 2.5 Conclusion References 3 Gas Leakage Detection from Drainage to Offer Safety for Sanitary Workers 3.1 Introduction 3.1.1 IOT-Based Sewer Gas Detection 3.1.2 Objective 3.1.3 Contribution of this Chapter 3.1.4 Outline of the Chapter 3.2 Related Works 3.2.1 Sewer Gas Leakage Detection 3.2.2 Crack Detection 3.3 Methodology 3.3.1 Sewer Gas Detection 3.3.2 Crack Detection 3.3.3 Experimental Setup 3.4 Experimental Results 3.5 Conclusion References 4 Machine Learning for Smart Healthcare Energy-Efficient System 4.1 Introduction 4.1.1 IoT in the Digital Age 4.1.2 Using IoT to Enhance Healthcare Services 4.1.3 Edge Computing 4.1.4 Machine Learning 4.1.5 Application in Healthcare 4.2 Related Works 4.3 Edge Computing 4.3.1 Architecture 4.3.2 Advantages of Edge Computing over Cloud Computing 4.3.3 Applications of Edge Computing in Healthcare 4.3.4 Edge Computing Advantages 4.3.5 Challenges 4.4 Smart Healthcare System 4.4.1 Methodology 4.4.2 Data Acquisition and IoT End Device 4.4.3 IoT End Device and Backend Server 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 5.8.1 Botnets 5.8.2 Man-in-the-Middle 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 6.1.1 Parts in a Centrifugal Pump 6.1.2 Pump Efficiency 6.1.3 VFD 6.1.4 VFD and Pump Motor 6.1.5 Large HT Motors 6.1.6 Smart Pumps 6.2 Vapour Absorption Refrigeration System 6.2.1 Vapour Compression Refrigeration 6.2.2 Vapour Absorption Refrigeration 6.3 Heat Recovery Equipment 6.3.1 Case Study 6.3.2 Advantages of Heat Recovery 6.4 Lighting System 6.4.1 Technical Terms 6.4.2 Introduction 6.4.3 LED Lighting 6.4.4 Energy-Efficiency Techniques 6.4.5 Light Control with IoT 6.4.6 EU Practices 6.5 Air Conditioners 6.5.1 Technical Terms 6.5.2 Types of Air Conditioners 6.5.3 Star Rating of BEE 6.5.4 EU Practices 6.5.5 Energy-Efficiency Tips 6.5.6 Inverter Air Conditioners 6.5.7 IoT-Based Air Conditioners 6.6 Fans and Other Smart Appliances 6.6.1 BLDC Fan Motors 6.6.2 Star Ratings 6.6.3 Group Drive of Fans 6.6.4 Other Smart Appliances 6.7 Motors 6.7.1 Motor Efficiency 6.7.2 Underrated Operation 6.7.3 Energy-Efficient Motors 6.7.4 Retrofit of Standard Motors with Energy-Efficient Motors 6.7.5 Other Salient Points 6.7.6 Use of Star-Delta Starter Motor 6.8 Energy-Efficient Transformers 6.8.1 IEC Recommendation 6.8.2 Super Conducting Transformers References 7 Link Restoration and Relay Node Placement in Partitioned Wireless Sensor Network 7.1 Introduction 7.2 Related Work 7.2.1 Existing Techniques 7.3 Proposed K-Means Clustering Algorithm 7.3.1 Homogenous and Heterogeneous Network Clustering Algorithms 7.3.2 Dynamic and Static Clustering 7.3.3 Flow Diagram 7.3.4 Objective Function 7.4 System Model and Assumption 7.4.1 Simulation Parameters 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 8.2.1 Solar Cell 8.3 Multi-Level Inverter Topologies 8.3.1 Types of Inverters Used for Drives 8.3.2 Multi-Level Inverters 8.4 Experimental Results and Discussion 8.4.1 PV Powered H Bridge Inverter-Fed Drive 8.4.2 PV Powered DCMLI Fed Drive 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 9.2.1 Single-Stage Rectification 9.2.2 Single-Stage Inversion 9.2.3 Double-Stage Rectification 9.2.4 Double-Stage Inversion 9.3 Proposed Methodology for Three-Phase System 9.3.1 Control Block of Overall System 9.3.2 Proposed Carrier-Based PWM Strategy 9.3.3 Experiment Results 9.4 Conclusion References 10 Low-Power IOT-Enabled Energy Systems 10.1 Overview 10.1.1 Conceptions 10.1.2 Motivation 10.1.3 Methodology 10.2 Empowering Tools 10.2.1 Sensing Components 10.2.2 Movers 10.2.3 Telecommunication Technology 10.2.4 Internet of Things Information and Evaluation 10.3 Internet of Things within Power Region 10.3.1 Internet of Things along with Vitality Production 10.3.2 Smart Metropolises 10.3.3 Intelligent Lattice Network 10.3.4 Smart Buildings Structures 10.3.5 Powerful Usage of Vitality in Production 10.3.6 Insightful Transport 10.4 Difficulties Relating Internet of Things 10.4.1 Vitality Ingestion 10.4.2 Synchronization via Internet of Things through Sub-Units 10.4.3 Client Confidentiality 10.4.4 Safety Challenges 10.4.5 IoT Standardization and Architectural Concept 10.5 Upcoming Developments 10.5.1 IoT and Block Chain 10.5.2 Artificial Intelligence and IoT 10.5.3 Green IoT 10.6 Conclusion References 11 Efficient Renewable Energy Systems Introduction 11.1 Renewable-Based Available Technologies 11.1.1 Wind Power 11.1.2 Solar Power 11.1.3 Tidal Energy 11.1.4 Battery Storage System 11.1.5 Solid Oxide Energy Units for Enhancing Power Life 11.2 Adaptability Frameworks 11.2.1 Distributed Energy Resources (DER) 11.2.2 New Age Grid Connection 11.3 Conclusion References 12 Efficient Renewable Energy Systems 12.1 Introduction 12.1.1 World Energy Scenario 12.2 Sources of Energy: Classification 12.3 Renewable Energy Systems 12.3.1 Solar Energy 12.3.2 Wind 12.3.3 Geothermal 12.3.4 Biomass 12.3.5 Ocean 12.3.6 Hydrogen 12.4 Solar Energy 12.5 Wind Energy 12.6 Geothermal Energy 12.7 Biomass 12.7.1 Forms of 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 13.1.1 Novelty of the Work 13.1.2 Benefit to Society 13.2 Development of the Proposed System 13.3 System Description 13.3.1 Study of the Crop Under Experiment 13.3.2 Hardware of the System 13.3.3 Software of the System 13.4 Layers of the System Architecture 13.4.1 Application Layer 13.4.2 Cloud Layer 13.4.3 Network Layer 13.4.4 Physical Layer 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) 14.2.1 The IoT Reference Model 14.2.2 Working of IoT 14.2.3 Utilization of Internet of Things (IoT) 14.3 Authentication in IoT 14.3.1 Methods of Authentication 14.4 User Authentication Based on Behavioral-Biometric 14.4.1 Machine Learning 14.4.2 Machine Learning Algorithms 14.5 Threats and Challenges in the Current Security Solution for IoT 14.6 Proposed Methodology 14.6.1 Collection of Gait Dataset 14.6.2 Gait Data Preprocessing 14.6.3 Reduction in Data Size 14.6.4 Gaits Feature 14.6.5 Classification 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 15.2.1 Problem Statement 15.2.2 Overview 15.2.3 System Components 15.3 Work Process 15.3.1 System Hardware 15.3.2 Connections and Circuitry 15.4 Optimization Framework 15.4.1 Fuzzy Goal Description 15.4.2 Characterizing Fuzzy Membership Function 15.4.3 Construction of FGP Model 15.4.4 Definition of Variables and Parameters 15.4.5 Fuzzy Goal Description 15.5 Creation of Database and Website 15.5.1 Hosting PHP Application and Creation of MySQL Database 15.5.2 Creation of API (Application Programming Interfaces) Key 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) 16.6.1 Computing, Communication and Identification 16.6.2 Network Technology 16.6.3 Greening of Internet of Things (IoT) 16.6.4 Security 16.6.5 Diversity 16.6.6 Object Safety and Security 16.6.7 Data Confidentiality and Unauthorized Access 16.6.8 Architecture 16.6.9 Network and Routing Information Security 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 17.4.1 FinFET-Based Digital Circuit Design 17.4.2 FinFET-Based Memory Design 17.4.3 FinFET-Based Biosensors 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 18.2.1 Circuit Configuration 18.2.2 Generation of Output Voltage Steps 18.2.3 Voltage Stress of Switches 18.3 Cascaded Configuration of Suggested Topology 18.4 Modulation Technique 18.5 Power Loss Analysis 18.5.1 Conduction Losses 18.5.2 Switching Losses 18.5.3 Capacitor Losses 18.6 Design of Capacitors 18.7 Comparative Analysis 18.8 Simulation Results 18.9 Conclusions References Index Also of Interest Check out these other related titles from Scrivener Publishing EULA