Computational Intelligence Methods for Green Technology and Sustainable Development : Proceedings of the International Conference GTSD2024, Volume 2 / edited by Yo-Ping Huang, Wen-June Wang, Hieu-Giang Le, An-Quoc Hoang.

Format:

Book

Contributor:

Huang, Yo-Ping, editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1199

Language:

English

Subjects (All):

Computational intelligence.

Engineering--Data processing.

Engineering.

Energy policy.

Computational Intelligence.

Data Engineering.

Energy Policy, Economics and Management.

Local Subjects:

Computational Intelligence.

Data Engineering.

Energy Policy, Economics and Management.

Physical Description:

1 online resource (0 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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. .

Contents:

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.

Notes:

Includes bibliographical references and index.

ISBN:

9783031762321

OCLC:

1490381763