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Full Description
This book presents parts of the iM3F 2025 proceedings from the mechatronics as well as the intelligent manufacturing tracks. It highlights recent trends and key challenges in mechatronics as well as the advent of intelligent manufacturing engineering and technology that are non-trivial in embracing Industry 4.0 as well as addressing the UN Sustainable Development Goals. The book deliberates on conventional as well as advanced solutions that are utilized in the variety of mechatronics and intelligent manufacturing-based applications. The readers are envisaged to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book. It provides a platform that allows academics as well as other relevant stakeholders to share, discuss, and deliberate their latest research findings in the field of manufacturing, mechatronics, and materials, respectively.
Contents
Equation-Governed Frequency Tuning in a Gearing-Assisted Cantilever Beam Energy Harvester.- Modeling and Optimization of No-Idle Energy Efficient Hybrid Flowshop Scheduling Problem using Tiki Taka Algorithms (TTA).- Comparative Analysis of Initial Covariance Formulation for Mobile Robot Navigation.- Numerical Simulation of Flow Characteristics of Turbine Flowmeter.- Intelligent PID Controller Optimized by Golden Eagle Optimizer for Flexible Robotic Arm Manipulator.- Research on Key Technologies of 3D Reconstruction Based on K-Means in Underwater Binocular Stereo Vision.- Extension of the NOFRFs-based Nonlinear Model Standardization: A Comparative Study on Constant Term Handling.- Indoor Positioning Systems: In-Depth Analysis, Comprehensive Insights, and Strategic Perspectives.- Experimental Investigation of Specific-Frequency Abnor-mal Noise in Air Conditioning Indoor Units.- Modeling of Multi-Physics Dynamic Characteristics of Pneumatic Amplifiers.- Study of Electric Pump Support Structure Vibration Using Experimental Model Analysis and Finite Element Simulation.- Research Review on the Market Status and Core Algorithms of Advanced Planning and Scheduling (APS) in Discrete Manufacturing.- Fault Detection of Multiple Valve Control based on Deep learning Approach through Experimental.- Stereoscopic Components Sorting System for Control Valves Based on an Improved YOLOv5s Model.- Study of Bus Seat Vibration Damping by Experiment and Simulation.- Design Evaluation of The Lower Arm Component in A Tele-Operated Robot.- IoT-Based Workshop Environment Monitoring to Enhance Worker Well-being in Industrial Maintenance Settings.
