AI in Manufacturing and Green Technology : Methods and Applications.

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Editors -- Contributors -- Chapter 1 Concept of Green Computation Linked to Cloudlets: A Case Study -- 1.1 Introduction -- 1.2 Review of Literature -- 1.3 Challenges of Cloud of Things -- 1.4 Adoption of Fog Computing for Elastic Computation and Storage -- 1.5 Prevailing Secured Mechanism with Reliability -- 1.6 Energy Minimization -- 1.7 Application of Particle Swarm Optimization toward Categorizing and Pairing Cloudlets -- 1.8 Discussion and Future Direction -- 1.9 Conclusion -- References -- Chapter 2 Scheduling Tasks in Virtual Machines Using Ant Colony Optimization Technique -- 2.1 Introduction -- 2.2 Review of Literature -- 2.3 Conceptualization of Green Scheduling and Computation -- 2.4 Practical Implications toward Data Accumulation -- 2.5 Practical and Research Implication -- 2.6 Implementation of Ant Colony Optimization Techniques -- 2.7 Criteria for Implementation -- 2.8 Experimental Analysis -- 2.9 Conclusion -- References -- Chapter 3 A CMOS-Based Improved Wilson OP-AMP for Green Communication Applications -- 3.1 Introduction -- 3.2 Green Communication -- 3.3 Bandwidth -- 3.4 Operational Amplifier -- 3.5 Cascoding in Second Stage OP-AMP -- 3.6 Proposed Work -- 3.6.1 Current Mirror-Based Improved Wilson at Second Stage -- 3.6.1.1 Design 1 -- 3.6.1.2 Design 2 -- 3.6.1.3 Design 3 -- 3.7 Results and Discussion -- 3.8 Power Measurement of the Proposed Work -- 3.9 Conclusion -- References -- Chapter 4 Design for Manufacturing Automotive Components: A Knowledge-Based Integrated Approach -- 4.1 Introduction -- 4.1.1 The Investigated Part -- 4.1.2 Objectives -- 4.2 Materials and Methodology -- 4.3 Experiments and Optimization -- 4.3.1 Analysis of the Part -- 4.3.2 Part Design Optimization -- 4.4 Results and Discussion -- 4.5 Conclusions.

References -- Chapter 5 Effect of Adaptive Depth-First Sphere Decoding Scheme to MIMO-OFDM System in FSO -- 5.1 Introduction -- 5.2 System Model -- 5.3 Various Detection Schemes and Channel Modelling -- 5.3.1 Maximum Likelihood Detection -- 5.3.2 Classical Depth-First Sphere Decoding -- 5.3.3 Adaptive Depth-First Sphere Decoding -- 5.3.4 Channel Modelling -- 5.4 Simulation Result -- 5.5 Conclusion -- References -- Chapter 6 Renewable Energy Adaptation Model for Sustainable Small Islands -- 6.1 Introduction -- 6.2 Renewable Energy Adaptation Model (REAM) for Small Islands -- 6.3 REAM Principles -- 6.3.1 Reliability of New Technology -- 6.3.2 Independency of the New Technology -- 6.3.3 Contribution to Power-Water-Food Nexus -- 6.3.4 Hybridization Possibilities with Existing Resources -- 6.3.5 Conservation of Ecology and Environment -- 6.3.6 Lakshadweep: An Archipelago of Small Islands -- 6.3.7 Water Scenario -- 6.3.8 Power Scenario -- 6.3.9 Food Scenario -- 6.3.10 Power-Water-Food Nexus -- 6.4 Availability of Renewable Energy Resources and Ecology -- 6.4.1 Solar Energy -- 6.4.2 Wind Energy -- 6.4.3 Biomass Energy -- 6.4.4 Ecology and Environment -- 6.4.5 Economy -- 6.4.6 Major Constraints of the Island for Sustainable Power-Water-Food Nexus -- 6.4.7 Most Practiced Renewable Energy Integrations -- 6.4.8 Innovative Projects for Renewable Energy Integration -- 6.4.8.1 Solar Panels Mounted on Top of Seagoing Vessels with BESS -- 6.4.8.2 Standalone Microgrids, with Combination of Solar PV, Small Wind, Biomass Gasifier, and BESS, Operating as Primary Source of Power -- 6.5 Implementation of Renewable Energy Adaptation Model (REAM) for Sustainability Analysis of Innovative Projects -- 6.6 Results and Discussion -- 6.7 Conclusions -- References -- Chapter 7 Numerical Simulation of Circular Two-Phase Jet Flow and Heat Transfer -- 7.1 Introduction.

7.2 Mathematical Formulation -- 7.3 Analysis of the Thermal Boundary Layer -- 7.4 Discussion -- References -- Chapter 8 A Review on Nearest-Neighbor and Support Vector Machine Algorithms and Its Applications -- 8.1 Introduction -- 8.2 Problem Faced by Supervised Machine Learning Algorithm -- 8.3 Nearest Neighbor -- 8.4 Support Vector Machine -- 8.5 Conclusion -- References -- Chapter 9 Eigenvalue Assignment for Control of Time-Delay System: A Lambert W Function-Based Approach -- 9.1 Introduction -- 9.2 Lambert W Function -- 9.2.1 Preliminary -- 9.2.2 Mathematical Form of Lambert W Function -- 9.3 Solution of Delay Differential Equations Using Lambert W Function -- 9.3.1 Free System of DDEs: Scalar Case -- 9.3.2 Matrix Case -- 9.4 Proportional-Integral Control of Systems with Time Delay -- 9.4.1 Illustrative Example -- 9.4.2 Lambert W Function-Based Approach -- 9.5 Result Analysis -- 9.6 Conclusion -- References -- Chapter 10 Neural Networks-Based Transmission Line Congestion Analysis of Electric Power Systems -- 10.1 Introduction -- 10.2 Line Congestion Index -- 10.3 Congestion Analysis by Feed Forward Neural Networks -- 10.4 Implementation and Result Analysis -- 10.5 Conclusions -- References -- Chapter 11 Study of Dielectric and Conductivity Behavior of PMMA-rGO Polymer Nanocomposites -- 11.1 Introduction -- 11.2 Material Synthesis -- 11.2.1 Synthesis of Reduced Graphene Oxide (rGO) -- 11.2.2 Preparation of PMMA-rGO Composite -- 11.3 Characterizations -- 11.4 Result and Discussion -- 11.4.1 XRD, FTIR, and Raman Spectroscopy of rGO -- 11.4.2 XRD and FTIR of Composite -- 11.5 Dielectric Properties of rGO-PMMA Composites -- 11.5.1 Impedance Spectroscopy Study -- 11.5.2 AC Conductivity Analysis -- 11.6 Conclusion -- Acknowledgement -- References -- Chapter 12 Concept of Green Computing Linked to Structural Design and Analysis: A Case Study.

12.1 Introduction -- 12.2 Review of Literature -- 12.3 Challenges to Adopt Green Computing -- 12.4 Implementation of Green Computing -- 12.5 Conclusion -- References -- Chapter 13 Voltage Sag Mitigation Using Transformerless Dynamic Voltage Restorer -- 13.1 Introduction -- 13.2 Structure of DVR -- 13.3 Transformerless DVR -- 13.4 DVR Control Scheme -- 13.5 Simulation Results -- 13.6 Conclusion -- References -- Chapter 14 Harmonics Reduction Using Active Power Filter with Hysteresis Current Control -- 14.1 Introduction -- 14.1.1 Harmonic Extraction -- 14.1.2 Current Modulator (Gate Pulse) -- 14.1.3 Harmonics -- 14.1.4 Total Harmonic Distortion (THD) -- 14.2 SRF Controller -- 14.3 Hysteresis Current Controller -- 14.3.1 Advantages of Hysteresis PWM -- 14.4 Simulation and Results -- 14.4.1 Simulation -- 14.4.2 Results -- 14.4.3 THD Calculation -- 14.5 Conclusion -- References -- Index.

This book focuses on making the environment sustainable by employing engineering aspects and green computing through concepts of modern education and solutions. It visualizes the potential of artificial intelligence in manufacturing and green technology, enhanced by business activities and strategies for rapid implementation.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.