AI IN MANUFACTURING AND GREEN TECHNOLOGY;METHODS AND APPLICATIONS

"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 str...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: SAMBIT KUMAR MISHRA;ZDZISLAW POLKOWSKI;SAMARJEET B.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: BOCA RATON : CRC PRESS, 2020.
Colección:Green Engineering and Technology Ser.
Temas:
Manufacturing processes > Data processing.
Green technology > Data processing.
Artificial intelligence.
Artificial Intelligence
Fabrication > Informatique.
Technologie de protection de l'environnement > Informatique.
Intelligence artificielle.
artificial intelligence.
Artificial intelligence
Green technology > Data processing
Manufacturing processes > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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

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