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Enabling Industry 4.0 through Advances in Mechatronics : Selected Articles from iM3F 2021, Malaysia / edited by Ismail Mohd. Khairuddin, Muhammad Amirul Abdullah, Ahmad Fakhri Ab. Nasir, Jessnor Arif Mat Jizat, Mohd. Azraai Mohd. Razman, Ahmad Shahrizan Abdul Ghani, Muhammad Aizzat Zakaria, Wan Hasbullah Mohd. Isa, Anwar P. P. Abdul Majeed

Contributor(s): Khairuddin, Ismail Mohd, editor literario | Abdullah, Muhammad Amirul, editor literario | Ab. Nasir, Ahmad Fakhri, editor literario | Mat Jizat, Jessnor Arif, editor literario | Mohd Razman, Mohd Azraai, editor literario | Abdul Ghani, Ahmad Shahrizan, editor literario | Zakaria, Muhammad Aizzat, editor literario | Mohd. Isa, Wan Hasbullah, editor literario | P.P. Abdul Majeed, Anwar., editor literario
Material type: materialTypeLabelE-bookSeries: (Lecture Notes in Electrical Engineering, 1876-1119; 900).Publisher: Singapore : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (XII, 580 páginas) : 357 ilustraciones, 276 ilustraciones a color.ISBN: 9789811920950.Subject: Mecatrónica -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
In: Springer Nature eBookSummary: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TJ163.12 2022 EB (Browse shelf(Opens below)) Acceso electrónico
Total holds: 0

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.

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