Cantitate/Preț
Produs
Total produse
Vezi coșul
Embracing Industry 4.0: Selected Articles from MUCET 2019 de Mohd Azraai Mohd Razman

Embracing Industry 4.0: Selected Articles from MUCET 2019: Lecture Notes in Electrical Engineering, cartea 678

Editat de Mohd Azraai Mohd Razman, Jessnor Arif Mat Jizat, Nafrizuan Mat Yahya, Hyun Myung, Amar Faiz Zainal Abidin, Mohamad Shaiful Abdul Karim
en Limba Engleză Hardback – 9 iul 2020
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 74514 lei  38-44 zile
  Springer Nature Singapore – 9 iul 2021 74514 lei  38-44 zile
Hardback (1) 103192 lei  38-44 zile
  Springer Nature Singapore – 9 iul 2020 103192 lei  38-44 zile

Din seria Lecture Notes in Electrical Engineering

Preț: 103192 lei

Preț vechi: 128990 lei
-20% Nou

Puncte Express: 1548
Preț estimativ în valută:
19751€ • 20354$ • 16675£

Carte tipărită la comandă

Livrare economică 26 februarie-04 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811560248
ISBN-10: 9811560242
Pagini: 289
Ilustrații: IX, 289 p. 160 illus., 140 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

Cuprins

An Adaptive Self-Assessment Model for Improving Student Performance in Language Learning using Massive Open Online Course (MOOC).- Assessment on Average Participation Versus Bialek’s Methods for Transmission Usage Evaluation Scheme.- Field-effect Transistor-based Biosensor Optimization: Single Versus Array Silicon Nanowires Configuration.- Top-Down Fabrication of Silicon Nanogap for Detection of Dengue Virus (DENV).- Design and Performance Analysis of IoT Based Sensor System using LoRa.- A PSPT-MAC mechanism for congestion avoidance in Wireless Body Area Network.- A Planar Slotted RCS based UWB RFID Tag on A PCB and A Flexible Substrate for Packaging Application.- Design and Analysis of Automated Inspection System for Relays Fault Detection.- Visible Light Communication-Based Indoor Notification System for Blind People.

Notă biografică

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. 

Textul de pe ultima copertă

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.

Caracteristici

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