• Empowering Industrial 4.0: Challenges and Future Vision
  • ICED 2018 will be on 9 - 10th Aug 2018

    Empowering Industrial 4.0: Challenges and Future Vision
    Empowering Industrial 4.0: Challenges and Future Vision
    Empowering Industrial 4.0: Challenges and Future Vision
    Empowering Industrial 4.0: Challenges and Future Vision


School of Computer and Communication Engineering and School of Microelectronics Engineering, UNIMAP in collaboration with Prince Songkla University, Thailand are pleased to announce that we will be hosting The 4th International Conference on Electronic Design (ICED) 2018 from 9 - 10th Aug 2018 in Bandar Hilir, Melaka with this year theme of “Empowering Industrial 4.0: Challenges and Future Vision”.

The 4th International Conference on Electronic Design (ICED) 2018 is a consequence to the previous conferences successfully held in 2005, 2008, 2014 and 2016. The aim is to provide a platform to professionals, researchers, academicians and industries to share and generate interest in cutting-edge applications, challenges and issues in the area of electronics and computer applications. The theme of the conference this year has been chosen in view of the current revolution and rapid developments in the field of electronics and communication design. Several number of keynote speakers will be invited to share their idea of the current trend in electronic and computer applications.

The applications of electronic and computer in Industrial 4.0 cover a broad area of research domain namely Internet of Thing, cybernetics, big data and analytics and communications. The application of Internet of Thing in Industrial 4.0 can be seen from physical objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities for more direct integration between the physical world and computer-based systems, and resulting in improved efficiency, accuracy and economic benefit. This conference will offer several tracks focusing on future technologies for Industrial 4.0, covering Internet of Thing (IoT), Information and Communication Technology (ICT), green technology/communication technology, industrial electronic design, nanotechnology, biomedical technology, multimedia technology, mobile and wireless communication technologies, wireless sensor networks, system-on-chip (SOC) technology and embedded computing technology.

Phone: +6019-5736310/+604-988 5670,
Fax: +604-988 5098
Email: iced2018@unimap.edu.my
Website: http://scce.unimap.edu.my/iced2018

Call For Paper

The 4th International Conference on Electronic Design (ICED 2018) will be held in Bandar Hilir Melaka, Malaysia from 9 - 10th Aug 2018. It aims to provide a platform to Professionals, Researchers, Academicians and Industry personals to share their new research findings. It is also a platform to showcase and generate interest in cutting-edge applications, challenges and future trends in the area of Electronics and Computer Applications for Internet of Things (IoT) with this year theme of “Empowering Industrial 4.0: Challenges and Future Vision”.

The ICED2018 Call for paper can be downloaded here

ALL accepted paper will be published in Journal of Telecommunication, Electronic and Computer Engineering (JTEC) journal; indexed by Scopus

To submit paper to ICED 2018 click here

Conference Track
List of conference tracks are as follows.
1) Embedded Systems & SoC Applications
2) Communication and Antenna design,
3) Network Connectivity & Wireless Sensor
4) Signal and Image processing
5) Industrial Electronics
6) Micro/Nanoelectronics & Bio Chips
7) Analog & Digital Integrated Circuits
8) Application Specific IoT
9) Others

Potential paper are solicited in but are not limited to the following topic
1) Network Embedded Systems
2) Wireless Sensor Network
3) Artificial Intelligence
4) Information Security and Cryptography
5) Telecommunication
6) Software/Hardware Engineering Testing & Reliability
7) Hardware & Architecture
8) Operating System
9) Signal and Image processing
10) Robotic Applications
11) Control System
12) Biomedical & e-Health Systems
13) VLSI
14) System On Chipv 15) Wireless Communications
16) Peer-to-Peer Networking and Cloud-Based Content Distribution
17) Multimedia Networking, Services and Applications
18) Smart Spaces and Sensor Networks
19) Green Communications and Computations
20) Intelligent and Emotion-oriented Computing
21) 3D Imaging, Processing, Communication and Display
22) Embedded Computing
23) Electromagnetic Field Theory
24) Optical Communications and Systems
25) Biomedical Signal Processing
26) Microelectronics Fabrication
27) MEMS and NEMS
28) IC Design
29) Electronic/Microelectronic Fabrication

Important Dates

Event Date
Full Paper Submission 2nd March 2018
Final Date: 30th April 2018
Notification of Acceptance 7th June 2018
Camera Ready 31st July 2018
Registration 31st July 2018
Conference date 9 - 10th Aug 2018


International Local
Normal USD 400 RM 1,500
Early bird USD 370 RM 1,400
Student USD 350 RM 1,300
None Presenter USD 100 RM 250
* 10% Discount for the second and third paper with the same presenter

A Hybrid Recurrent Neural Network Approach to solving Bi Level Quadratic Programming Problems

Keynote summary:

We worked on artificial neural network (ANN) to understand ANN structures at first. After then we proposed double layered neural networks in 2001 to solve mean-variance problems, that is, quadratic programming problems such as portfolio problems in financial engineering. The double layered neural networks consist of Hopfield machine and Boltzmann machine. The two neural networks collaborate to solve the quadratic mean-variance problems by the way that the upper level NN selects optimal neurons and the lower level NN decided each optimal weights.
But bi level programming problem is more complicated. Even bi level linear programming problem is NP-hard to solve it. We realized that several wrong optimum results were presented in journal papers. We built a hybrid recurrent neural network to solve bi-level quadratic programming in 2014. Also we apply the system to solve real applications. We explain such research directions
First, we explain the research directions we studied till now. Second, we explain the double layered neural network to solvee mean-variance problems. Third, we explain the bi-level programming problems and how to solve the NP-hard problems and provide the comparison. Fourth, we will show an application to solve a real problem.

Prof Junzo Watada, PhD,
Universiti Teknologi PETRONAS, Seri Iskandar, Perak Malaysia

Prof Junzo Watada received his B.Sc. and M.Sc. degrees in electrical engineering from Osaka City University, Japan, and his Ph.D degree from Osaka Prefecture University, Japan. Currently, he is a professor, the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, and a Professor Emeritus at Waseda University. He received the Henri Coanda Medal Award from Inventico in Romania in 2002. He is a Life Fellow of the Japan Society for Fuzzy Theory and intelligent informatics (SOFT). Prof Watada is an IEEE senior member, Executive Chair of ISME, WCICME, a vice-president and life member, Forum of Interdisciplinary Mathematics. He commits himself in editing various international journals as a principal editor of several journals and an editorial board member of more than 30 journals. His professional interests include artificial neural network, human centric data mining, soft computing, tracking systems, knowledge engineering, financial engineering and management engineering..

IoT: From Sensing to Sensemaking

Over 80 billion connected devices worldwide is expected by 2025 which will yield to the generation of 180 trillion gigabytes of new data. The visual data produced at the edge that contains rich amount of information become increasingly important to derive actionable insights across various segments like retail analytics, smart city and factory automation. Nevertheless, the enormous volume of visual data being collected is still significantly underutilized due to the requirement challenges on the computational resources and bandwidth limitation that hinders a timely processing, prevents the data from being used in an economically efficient manner. As to deal with the aforementioned challenges, the visual fog paradigm which collaboratively uses the edge-to-cloud design for workload and data management will be the highlight in this keynote. The sharing focuses on the visual fog architecture for ad hoc video analytics with ease-of-use visual workload and data management framework in order to scale out the visual analytics capability.

Speaker Profile:

Wendy is a computer vision research engineer in Intel Corporation. She holds a PhD in Electrical & Electronic Engineering from The University of Nottingham with the specialization in computer vision and machine learning. Prior to Intel, Wendy played a lecturer role for 2 years with the main research area in Human Computer Interaction and Brainwave Analytics. Wendy joint Intel, Internet of Things group since 2014 focusing on machine learning, visual fog computing, software test analytics and predictive analytics based solutions. Her research interests include machine learning, computer vision, signal processing and data analytics. Wendy’s research contribution includes 10+ issued/pending patent applications and 30+ technical publications.