Embracing Industry 4.0

1. Front Matter

   Pages i-ix

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2. An Adaptive Self-assessment Model for Improving Student Performance in Language Learning Using Massive Open Online Course (MOOC)

   • H. Hashim, S. Salam, S. N. M. Mohamad, K. M. Cheong, P. E. Tan

   Pages 1-17

3. Assessment on Average Participation Versus Bialek’s Methods for Transmission Usage Evaluation Scheme

   • N. S. Ahmad, N. H. Radzi, S. A. Jumaat, M. N. Abdullah, S. Salimin

   Pages 19-29

4. Field-Effect Transistor-based Biosensor Optimization: Single Versus Array Silicon Nanowires Configuration

   • Chee Chung Ong, Mohamad Faris Mohamad Fathil, Mohd Khairuddin Md Arshad, Mohammad Nuzaihan Md Nor, Ruslinda A. Rahim, Uda Hashim et al.

   Pages 31-40

5. Top-Down Fabrication of Silicon Nanogap for Detection of Dengue Virus (DENV)

   • Muhamad Nurshahriza Fitri Zulkiffli, Mohammad Nuzaihan Md Nor, Mohamad Faris Mohamad Fathil, Zarimawaty Zailan, Nor Atiqah Md Isa, Conlathan Ibau et al.

   Pages 41-49

6. Design and Performance Analysis of IoT Based Sensor System Using LoRa

   • Fakrulradzi Idris, Muhammad Syahmi Anuar, Muhammad Hazim Zin Azman, Norlezah Hashim

   Pages 51-60

7. A PSPT-MAC Mechanism for Congestion Avoidance in Wireless Body Area Network

   • Wan Aida Nadia Wan Abdullah, Naimah Yaakob, R. Badlishah Ahmad, Mohamed Elshaikh Elobaid, S. N. Azemi, Siti Asilah Yah

   Pages 61-71

8. A Planar Slotted RCS Based UWB RFID Tag on a PCB and a Flexible Substrate for Packaging Application

   • A. K. M. Zakir Hossain, M. Z. Abidin Bin Abd Aziz, A. W. Y. Khang, W. A. Indra

   Pages 73-81

9. Design and Analysis of Automated Inspection System for Relays Fault Detection

   • W. H. M. Saad, W. Y. Tai, N. M. Saad, M. S. Karis, S. A. A. Karim

   Pages 83-91

10. Visible Light Communication-Based Indoor Notification System for Blind People

    • J. X. Jerry Chong, S. Saon, A. K. Mahamad, M. B. Othman, Nawir Rasidi, M. Ikhsan Setiawan

    Pages 93-103

11. The Anxiety of Parent to the Prolong Computer Games Interaction: A Survey

    • N. S. Razak, M. Rahmah

    Pages 105-113

12. Design and Development of an Optical Sensor System to Measure Visibility of Air

    • S. Nurulain, R. M. Ramli, H. Manap, Mohd Anwar Zawawi

    Pages 115-123

13. The Classification of Skateboarding Tricks by Means of Support Vector Machine: An Evaluation of Significant Time-Domain Features

    • Muhammad Amirul Abdullah, Muhammad Ar Rahim Ibrahim, Muhammad Nur Aiman Shapiee, Anwar P. P. Abdul Majeed, Mohd Azraai Mohd Razman, Rabiu Muazu Musa et al.

    Pages 125-132

14. Fuzzy Coordination System for Traffic Light

    • Tang Ren Shyang, Adrian Loh Sheng Pang, Nureize Arbaiy, Mohammad Haris Haikal Othman, Mohd Zaki Mohd Salikon, Pei Chun Lin

    Pages 133-144

15. Metaheuristic Optimization Approaches for Overcurrent Relays Discrimination: A Comparative Study

    • Noor Zaihah Jamal, Mohd Herwan Sulaiman, Abdul Nasir

    Pages 145-157

16. A Mutation Triggering Method for Genetic Algorithm to Solve Traveling Salesman Problem

    • Khandker M. Qaiduzzaman, Sabira Khatun, Maliha Afsa, Sadman Sobhan, Md. Elias Hossain, Syamimi Mardiah Shaharum et al.

    Pages 159-170

17. Optimized Weight Selection in Levenberg-Marquardt Back-Propagation Using Wolf Search

    • M. Z. Rehman, Aisha Tanveer, Nazri Mohd Nawi, Kamal Z. Zamli

    Pages 171-181

18. The Classification of Skateboarding Trick Manoeuvres: A Frequency-Domain Evaluation

    • Muhammad Ar Rahim Ibrahim, Muhammad Nur Aiman Shapiee, Muhammad Amirul Abdullah, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Anwar P. P. Abdul Majeed

    Pages 183-194

19. The Identification of RFID Signal Using k-Means for Pallet-Level Tagging

    • Chun Sern Choong, Ahmad Fakhri Ab. Nasir, Anwar P. P. Abdul Majeed, Muhammad Aizzat Zakaria, Mohd Azraai Mohd Razman

    Pages 195-203

20. Flat Price Prediction Using Linear and Random Forest Regression Based on Machine Learning Techniques

    • Julakha Jahan Jui, M. M. Imran Molla, Bifta Sama Bari, Mamunur Rashid, Md Jahid Hasan

    Pages 205-217

This book highlights selected articles from the electrical engineering track, with a focus on the latest trends in electrical and electronic engineering toward embracing Industry 4.0, as part of the Malaysian Technical Universities Conference on Engineering and Technology—MUCET 2019. The event brings together researchers and professionals in the fields of engineering, research, and technology, and provides a platform for future collaborations and exchanges.

• Autonomous systems
• Intelligent systems
• Machine learning
• Machine vision
• Internet-of-Things
• Data analytics
• Electrical machines
• Mobile communication
• Wireless communication
• Control systems
• Signal processing

• 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)

  Hyun Myung

• 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

Dr Mohd Azraai Mohd Razman received his first degree from the University of Sheffield, UK, in Mechatronics Engineering. He then obtained his M.Eng and Ph.D. from the Universiti Malaysia Pahang (UMP) along with a visiting Ph.D. from the University of Padova, Italy. His research interests include optimisation, control systems, instrumentation in aquaculture and agriculture, sports engineering and machine learning.


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. 

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