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Computational intelligence methods for green technology and sustainable developmentproceedings of the International Conference GTSD2024.Volume 2 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence methods for green technology and sustainable developmentedited by Yo-Ping Huang ... [et al.].
其他題名:	proceedings of the International Conference GTSD2024.
其他題名:	GTSD 2024
其他作者:	Huang, Yo-Ping.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	x, 382 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Green technologyCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-76232-1
ISBN:	9783031762321$q(electronic bk.)

Computational intelligence methods for green technology and sustainable developmentproceedings of the International Conference GTSD2024.Volume 2 /
Computational intelligence methods for green technology and sustainable developmentproceedings of the International Conference GTSD2024.Volume 2 /[electronic resource] :GTSD 2024edited by Yo-Ping Huang ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 382 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,11992367-3389 ;. - Lecture notes in networks and systems ;v.1..

Design and Development Cable Driven Parallel Robots Based on EtherCAT -- Modeling, Kinematic Analysis, and Simulation for A 6-DOF Upper Limb Rehabilitation Robot -- A Nonsingular Terminal Sliding Mode Control For a 6DOF Manipulator with Unknown Payloads -- ADP-Based Decentralized Adaptive Optimal Control for Two Cooperating Robots -- Gait Optimization for Spider Robot with Investigation of Trade-off Between Stability and Speed Using Jaya Multi-Objective Optimization Algorithm -- Design of Adaptive Sliding Mode Controller based on Neural Network for Robot Manipulator -- Design of a Sit to Stand Motion Robotic Assistance Device -- Augmented Nonlinear PID Controller for Human-Robot Collaboration with Uncertainties -- Optimal Design for Drilled Intersecting Holes to Minimize Burr Formation -- Design and Optimization of a 1-DOF Compliant Mechanism for Vibration-Assisted 3D Printing -- Bearing Fault Diagnostic based on Vibration Analysis Under Constant Radial Load -- Using Box-Behnken Design for Optimizing The Processing Parameters for The Injection Molding Process -- MPPT Method based On Novel Approach For Stand-Alone PV Power Conversion Systems -- Application of Dung Beetle Optimizer Algorithm for Solving Optimization Problem in Smart Residential Power Grid -- Proposing Solutions to Improve Municipal Solid Waste Burning Efficiency of Small Scale Capacity Power Plants in Vietnam -- Optimal Operation of Pumped Storage Power Plant to Improve the Stability of Vietnamese Power System -- Optimal Scheduling of Distributed Energy Resources in Microgrid Using An Improved Equilibrium Optimizer -- Optimal Allocation and Operation of Battery Energy Storage System in Distribution Networks Using An Improved Equilibrium Optimizer -- Optimal Allocation of Soft Open Points on Distribution Power Grid with High Penetration of Renewable Energy to Reduce Energy Loss for One Day -- Optimal Location and Size Of Electric Vehicle Charging Stations with Distributed Generations -- A Chaotic Equilibrium Optimization for Electric Vehicle Charging Scheduling in Distribution Networks with Integrated Battery Energy Storage Systems -- Improved Horse Racing Algorithm-Based Incremental Conductance Method for MPP Tracking of PV Systems -- Design A Touch Sensor Using Conductive Spandex Fabric -- The EMG Signal Acquisition System for DC Motor Control Based on Threshold Method -- Improving The Performance of Permanent Magnet Synchronous Motors Based on The Model Predictive Current Control Method -- An Improved Field-Oriented Control Strategy for Permanent Magnet Synchronous Motor Drives -- Constrained Pareto-based Weighted-sum ABC Algorithm for Efficient Sensor Networks Deployment -- Modeling Of Data Link Redundancy and Network Failure Recovery in The AFDX Network -- Separating DNA Sequences of Microbes Using Apache Spark -- Design and Performance Evaluation of AMBA AHB- Based Master Switches -- Experimental Prototype to Validate A Method for Solving An Inverse Heat Conduction Problem -- Experimental Study on Heat Transfer Characteristics and Pressure Drop of A Fin and Microchannel Flat-Tube Heat Exchanger.

This book is presented in two volumes, featuring peer-reviewed research papers from the 7th International Conference on Green Technology and Sustainable Development (GTSD), held in Ho Chi Minh City, Vietnam, from July 25 to 26, 2024. It highlights original research by experts from both academia and industry, centered on the theme of "Green Technology and Sustainable Development in the Industrial Revolution 4.0." The book underscores the critical importance of sustainability in education, technology, and economic development, while also showcasing the vital role of technological innovation in creating a greener future. The papers documented in this book cover a broad range of topics, including renewable energy systems, smart grids, artificial intelligence, robotics and intelligent systems, and computational intelligence, all with a focus on sustainable development, climate change mitigation, and environmental policy. These studies showcase cutting-edge technologies and innovative ideas related to green technology, offering actionable insights for advancing sustainable development across various sectors. The authors present research based on both experimental and numerical methods, offering solutions to current problems and optimizing existing methods. The insights and findings provided are valuable for industry experts, research institutions, universities, and anyone interested in advancing global sustainable development.

ISBN: 9783031762321$q(electronic bk.)

Standard No.: 10.1007/978-3-031-76232-1doiSubjects--Topical Terms:

453003
Green technology
--Congresses.

LC Class. No.: TA170

Dewey Class. No.: 338.927

Computational intelligence methods for green technology and sustainable developmentproceedings of the International Conference GTSD2024.Volume 2 /
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520 $a This book is presented in two volumes, featuring peer-reviewed research papers from the 7th International Conference on Green Technology and Sustainable Development (GTSD), held in Ho Chi Minh City, Vietnam, from July 25 to 26, 2024. It highlights original research by experts from both academia and industry, centered on the theme of "Green Technology and Sustainable Development in the Industrial Revolution 4.0." The book underscores the critical importance of sustainability in education, technology, and economic development, while also showcasing the vital role of technological innovation in creating a greener future. The papers documented in this book cover a broad range of topics, including renewable energy systems, smart grids, artificial intelligence, robotics and intelligent systems, and computational intelligence, all with a focus on sustainable development, climate change mitigation, and environmental policy. These studies showcase cutting-edge technologies and innovative ideas related to green technology, offering actionable insights for advancing sustainable development across various sectors. The authors present research based on both experimental and numerical methods, offering solutions to current problems and optimizing existing methods. The insights and findings provided are valuable for industry experts, research institutions, universities, and anyone interested in advancing global sustainable development.
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