Special Talks

OLED Lighting: Where we are and where we go

Junji Kido, Ph.D., Department of Organic Device Engineering, Yamagata University

Abstract: TOrganic light-emitting devices (OLEDs) are expected to be the next-generation flat panel displays and general lighting. In Yamagata university, white light-emitting OLEDs have been developed and OLED panels have just been commercialized. In this talk, the recent progress and future prospect will be discussed.

Biography: Prof. Kido has received his B.S. degree in applied chemistry from Waseda University, Tokyo, Japan, in 1984 and the M.S. and Ph. D. degrees in polymer chemistry from Polytechnic University, New York, in 1987 and 1989, respectively. In 1989, he joined the department of polymer chemistry in Yamagata University in Japan as an assistant professor and promoted to an associate professor in 1995, and to a full professor in 2002. From 1990 to 1992, he was associated as a research scientist in Brookhaven National Laboratory. He has been the General Director for “Research Institute for Organic Electronics” founded by the Yamagata prefectural government since 2003. He also served as the project leader for the Japanese national projects on "Advanced Organic Semiconductor Devices" from 2002 to 2007 and "Organic Lighting" since 2004 both sponsored by METI (Ministry of Economy, Trade and Industry). His current research activities are focused on organic light-emitting devices (OLEDs). He invented white-light-emitting OLEDs in 1993 for the first time and continuously working on developing high performance OLEDs. Wall Street Journal (May 10, 1995) cited his work entitled "Japanese Light Researcher May Turn LED into Gold". He is a co-founder of “Lumiotec Inc.” to manufacture white OLED panels for general lighting applications. His work has been recognized by awards from the Society of Polymer Science, Japan (Society Award), and the Society for Information Display, U.S.A. (Special Recognition Award) in 2002. He recently received the Herman F. Mark Technology Medal from Polytechnic University (2007) and the Fellow Award from Society for Information Display, U.S.A. (2008).

Recent IT Industry Situations in Korea

Yong-Jin Park, Waseda University

Abstract: The IT Industry in Korea has been developed remarkably for a short period of time. The current IT industry situations in Korea are focused in this talk. The following topics are mentioned:

  • Computerization,
  • IT companies,
  • Success Factors of Samsung Electronics, and
  • PC Game Culture.

Yong-Jin Park received his B.E., M.E. and Ph.D. degrees, all in Electronic Engineering from Waseda University. During 1978 - 2010, he joined Hanyang University, Seoul. He visited the Department of Computer Science, University of Illinois, Urbana-Champaign, as a Visiting Associate Professor from 1983 to 1984. He also visited Computing Laboratory, University of Kent, Canterbury, England from 1990 to 1991 as a Research Fellow. He was the President of Open Systems Interconnection Association, from 1991 to 1992, the Chairman of IEEE Seoul Section from 1999 to 2000, the Director of Secretariat of APAN (Asia Pacific Advanced Network) during 1999 – 2003, and President of KIISE (Korea Institute of Information Scientists and Engineers) in 2003. He joined Waseda University from April 2010, where he is a professor. Currently he is the Director of IEEE Region 10 and Fellow of IEICE.
His main research interests are computer networking and mobile/ubiquitous computing.

Enhancement of Semiconductor Yield Prediction for Imbalanced and Small Datasets based on Artificial Intelligence Techniques

Marzuki Khalid, Deputy Vice Chancellor (Research and Innovation), Universiti Teknologi Malaysia

Abstract: In the semiconductor industry, there are many problems and challenges that require higher accuracy and precision. In order to remain competitive, semiconductor companies need to send their products quickly to market with the highest yield production possible. Although bad products are rather low in quantity during production, they should be excluded as early as possible from being processed to reduce manufacturing costs, time, and machine utilization. The capability to predict good products increases the yield, however, accuracy in predicting good and bad products has remain a major challenge in this industry due to the phenomena of imbalanced and small datasets inherent in the semiconductor industry. In this research, a variety of techniques largely based on artificial intelligence has been proposed to improve the yield. The first is based on a probabilistic classifier for imbalanced data which applies one class learning technique with adaptive decision threshold. The classifier is able to learn from the input data, either in numerical or categorical data type, by pre-processing all of the input data into probabilities. A properly encrypted semiconductor dataset that is validated by factory engineers are used to evaluate the proposed classifier. As a result, the proposed classifier is able to assist engineers to predict the bad products at the early stage. A second approach in solving the imbalanced dataset employs an artificial neural network model in which its decision boundary is decided by incorporating the technique of particle swarm optimization. It was observed that the proposed model is able to solve imbalanced data sets with better performance when compared to the standard artificial neural network model. An equally challenging problem in the semiconductor industry is in solving small datasets. Based on the Nadaraya-Watson kernel regression, a new kernel regression approach is proposed where new artificial samples are generated, thus, able to fill the information gaps between the available small samples. The proposed technique is better than conventional function approximation algorithms such as artificial neural networks and other existing techniques. With such proposed techniques largely based on artificial intelligence, imbalanced and small datasets inherent in the semiconductor industry have strong potential to be solved with better accuracy.

Prof. Marzuki Khalid is the Deputy Vice Chancellor of Universiti Teknologi Malaysia in charge of research and innovation. He has been appointed in international editorial boards of 6 international journals and has sat in international program committees of more than fifty international conferences. He is the co-author of "Neuro-Control and Its Applications" published by Springer-Verlag, United Kingdom. He is a founding member of Asian Control Professors Association and an executive committee of the IEEE Region 10. His research interests are in artificial intelligence and self-learning control systems.