| 会告：2010 SICE Annual Conference Awardの贈呈
Mr. Thanh-Do TRAN
He received the B.Eng. degree in Mechatronics from Ho Chi Minh City University of Technology, Vietnam, in 2008, and the M.Eng. degree in Control and Instrumentation Engineering from Korea Maritime University, Busan, South Korea, in 2010. Since September 2010, he plans to pursue the M.Sc. degree in Soft Computing and Intelligent Data Analysis at the European Centre for Soft Computing, Mieres, Spain. His current research interests include evolutionary computation, fuzzy systems, nature-inspired computing, modern control systems, and optimization.
受賞論文「A Nature-Inspired Evolutionary Algorithm Based on Spiral Movements」
Evolutionary algorithms are a class of stochastic optimization techniques that are commonly utilized to address highly complicated optimization tasks. In this paper, we present a nature-inspired evolutionary algorithm which is capable of solving real-valued optimization problems. The novel algorithm employs attraction and mutation. Attraction, based on the observation of spiral movements encountered in nature and the universe, is implemented using a dynamic system model. The proposed operator incorporating with the well-known dynamic mutation works with a population-based technique to iteratively evolve into better and better solutions. To demonstrate its efficiency and accuracy, the proposed algorithm was evaluated on a variety of real-valued benchmark functions. Experimental results demonstrate the effectiveness of the attraction operator in exploiting potential solutions as well as exploring search spaces.
○Young Author's Award
Dr. Yuki MINAMI (Member)
He received the M.S. and Ph.D degrees in informatics from Kyoto University, Uji, Japan, in 2007 and 2009, respectively. He was a research fellow of the Japan Society for the Promotion of Science at Kyoto University,
from 2008 to 2009. He is currently an Assistant Professor in the Department of Control Engineering, Maizuru National College of Technology, Maizuru, Japan. His current research interests include quantized control and control of mechanical systems.
受賞論文「An Inverse Halftoning Algorithm Based on Super-Resolution Image Reconstruction」
Inverse halftoning is to reconstruct continuous-tone images from binary ones composed of white and black pixels. This paper presents a simple and useful inverse halftoning method based on the idea of super-resolution image reconstruction. The proposed method is a two-step algorithm. The first step is to generate several grayscale images from the original halftone image and lowpass filters. The next step is to reconstruct a continuous-tone image from the multiple grayscale images by using the super-resolution image reconstruction technique. This method allows us to obtain good continuous-tone images without prior information about halftoning method. The effectiveness of the proposed method is demonstrated by several experiments.
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