Highlights selected articles from the electrical engineering track of MUCET 2019
Includes contributions from both industry and academia
Presents recent advances in the field of electrical and electronic engineering toward embracing Industry 4.0
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 678)
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Table of contents (24 papers)
About this book
- Autonomous systems
- Intelligent systems
- Machine learning
- Machine vision
- Data analytics
- Electrical machines
- Mobile communication
- Wireless communication
- Control systems
- Signal processing
Editors and Affiliations
Faculty of Manufacturing & Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia
Mohd Azraai Mohd Razman, Jessnor Arif Mat Jizat, Nafrizuan Mat Yahya
School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)
Technical University of Malaysia Malacca, Malacca, Malaysia
Amar Faiz Zainal Abidin
Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia
Mohamad Shaiful Abdul Karim
About the editors
Mr Jessnor Arif Mat Jizat graduated as a Diplomingenieur (FH) in Mechatronics Engineering from the Hochschule Karlsruhe Technik and Wirtschaft, Germany. He obtained his M.Eng. (Manufacturing) from the UMP and is currently pursuing his Ph.D. studies in image processing and machine learning. His research interests include robotics vision, sports engineering, and autonomous vehicles.
Dr Nafrizuan Mat Yahya graduated from the Universiti Sains Malaysia with a B.E. in Manufacturing Engineering with Management in 2004. He received his M.Eng. from the UMP in 2009 and subsequently studied Automatic Control & Systems Engineering at the University of Sheffield, UK. Currently the Head of the Cybernetics and Systems Engineering Laboratory (CSEL), his research interests include computational intelligence, algorithm development, and control systems optimisation.
Prof Hyun Myung received his B.S., M.S. and Ph.D. degrees from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 1992, 1994, and 1998, respectively, all in Electrical Engineering. Currently a Professor at the School of Electrical Engineering, his research interests include structural health monitoring using robotics, artificial intelligence, simultaneous localisation and mapping, robot navigation and machine learning.
Mr Amar Faiz Zainal Abidin received his first degree from the University of Nottingham in Electrical and Electronics Engineering. He subsequently obtained his M.Sc. in Computer Vision from the University of Burgundy, France, and his M.Eng. from the Universiti Teknologi Malaysia. Currently a lecturer at the Universiti Teknikal Malaysia Melaka, he is an active researcher in the fields of optimisation, computational intelligence, and computer vision.
Dr Mohamad Shaiful Abdul Karim received his B. Eng. (Electrical and Electronics), M.Eng. and D. Eng. degrees from Ritsumeikan University, Japan in 2011, 2013 and 2016, respectively. In 2016, he joined the UMP as a senior lecturer at the College of Engineering and is currently pursuing research on microwave engineering, communication and biomedical medical devices.
Book Title: Embracing Industry 4.0
Book Subtitle: Selected Articles from MUCET 2019
Editors: Mohd Azraai Mohd Razman, Jessnor Arif Mat Jizat, Nafrizuan Mat Yahya, Hyun Myung, Amar Faiz Zainal Abidin, Mohamad Shaiful Abdul Karim
Series Title: Lecture Notes in Electrical Engineering
Publisher: Springer Singapore
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-6024-8Published: 09 July 2020
Softcover ISBN: 978-981-15-6027-9Published: 09 July 2021
eBook ISBN: 978-981-15-6025-5Published: 08 July 2020
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: IX, 289
Number of Illustrations: 20 b/w illustrations, 140 illustrations in colour