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Enabling Industry 4.0 through advanc...
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iM3F (Forum) (2021 :)
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Enabling Industry 4.0 through advances in mechatronics = selected articles from iM3F 2021, Malaysia /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Enabling Industry 4.0 through advances in mechatronics/ edited by Ismail Mohd. Khairuddin ... [et al.].
Reminder of title:
selected articles from iM3F 2021, Malaysia /
remainder title:
iM3F 2021
other author:
Khairuddin, Ismail Mohd.
corporate name:
iM3F (Forum)
Published:
Singapore :Springer Nature Singapore : : 2022.,
Description:
xii, 580 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Mechatronics - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-19-2095-0
ISBN:
9789811920950
Enabling Industry 4.0 through advances in mechatronics = selected articles from iM3F 2021, Malaysia /
Enabling Industry 4.0 through advances in mechatronics
selected articles from iM3F 2021, Malaysia /[electronic resource] :iM3F 2021edited by Ismail Mohd. Khairuddin ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xii, 580 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 9001876-1119 ;. - Lecture notes in electrical engineering ;v. 900..
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.
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.
ISBN: 9789811920950
Standard No.: 10.1007/978-981-19-2095-0doiSubjects--Topical Terms:
860737
Mechatronics
--Congresses.
LC Class. No.: TJ163.12 / .I5 2021
Dewey Class. No.: 621
Enabling Industry 4.0 through advances in mechatronics = selected articles from iM3F 2021, Malaysia /
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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.
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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
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EB TJ163.12 .I5 2021
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