ISBN:
9789811920950
Language:
English
Pages:
1 Online-Ressource(XII, 580 p. 357 illus., 276 illus. in color.)
Edition:
1st ed. 2022.
Series Statement:
Lecture Notes in Electrical Engineering 900
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Keywords:
Control engineering.
;
Robotics.
;
Automation.
;
Artificial intelligence.
;
Microtechnology.
;
Microelectromechanical systems.
;
Internet of things.
;
Industrial engineering.
;
Production engineering.
Abstract:
Mapping and Navigation for Indoor Robot Using Multiple Sensor Under ROS Framework -- Optimization of Waterjet Paint Removal Operation using Artificial Neural Network -- Light Path Simulation for Optical Switch Based on Digital Electromagnetic Actuators -- An Application of Charge-Coupled Device (CCD) Tomography System for Gemological Industry - A Review -- Prediction of Abrasive Waterjet Machining of Sheet Metals using Artificial Neural Network -- You Are Too Loud! Classification of Psychological Conditions for Stress Detection System using Galvanic Skin Response -- Universiti Malaysia Pahang Autonomous Shuttle Development: Lane Classification Analysis using Convolutional Neural Network (CNN) -- Eco-Design of Electric Vehicle Battery Pack for Ease of Disassembly -- Electric Vehicle Drive Specification Modelling for Three Wheels Scooter Configuration -- Experimentation on Spectra Data Regression using Dense Multilayer Neural Networks with Common Pre-processing.
Abstract:
This book presents part of the iM3F 2021 proceedings from the mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.
DOI:
10.1007/978-981-19-2095-0
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