Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Hee Soo Hwang"'
Publikováno v:
Journal of Chitin and Chitosan. 24:219-226
The features of antibacterial activity of chitosan with different molecular weight and with antibiotics are discussed in this study. Depolymerization of high molecular weight chitosan(HMWC) mediated by enzymatic effects was observed in the concentrat
Autor:
Yoo-Jin Choi, Jin-Ha Hwang, Seung-Muk Bae, Hee-Soo Hwang, Heesun Yang, Eunsoo Choi, Jeong-Woo Park, Jae-Hwan Kim, Eui-Hyun Kim
Publikováno v:
Ceramics International. 44:1556-1565
DIPAS (di-isopropylamino silane, H 3 Si[N(C 3 H 7 ) 2 ]) and O 2 plasma were employed, using plasma-enhanced atomic layer deposition (PEALD), to deposit silicon oxide to function as the gate dielectric at low temperature, i.e., below 200 °C. The sup
Autor:
Hee-Soo Hwang
Publikováno v:
Journal of Korean Institute of Intelligent Systems. 20:522-527
In this paper, a new MBHF(Morphology-Based Homomorphic filter) is presented to enhance contrast in mammographic images. The MBH filtering is performed based on the morphological sub-bands, in which an image is morphologically decomposed. The filter i
Autor:
Hee-Soo Hwang, Jinsung Oh
Publikováno v:
Journal of Korean Institute of Intelligent Systems. 19:689-694
본 논문은 일별 및 주별로 시계열 주가를 예측할 수 있는 퍼지 모델을 구성하는 방법을 제안한다. 전통적인 시계열 분석으로 주가를 예측하는 것은 어렵지만 퍼지 모델은 비선형적인 주가
Autor:
Hee Soo Hwang
Publikováno v:
The KIPS Transactions:PartB. :603-608
In this paper an approach to building fuzzy model to predict daily open, close, high, and low stock prices is presented. One of prior problems in building a stock prediction model is to select most effective indicators for the stock prediction. The p
Autor:
Hee-Soo Hwang
Publikováno v:
Journal of Korean Institute of Intelligent Systems. 12:451-461
Differential evolution(DE) has been preyed to be an efficient method for optimizing real-valued multi-modal objective functions. DE`s main assets are its conceptual simplicity and ease of use. However, the convergence properties are deeply dependent
Publikováno v:
IEEE Transactions on Fuzzy Systems. 8:37-45
In designing fuzzy models and controllers, we encounter a major difficulty in the identification of an optimized fuzzy rule base, which is traditionally achieved by a tedious trial-and-error process. The paper presents an approach to the evolutionary
Autor:
Hee-Soo Hwang
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 28:791-802
This paper presents an approach to identify a fuzzy control model for determining an economical running pattern for a high-speed railway through an optimal compromise between trip time and energy consumption. Since the linguistic model is intuitive a
Publikováno v:
IFAC Proceedings Volumes. 25:249-254
In this paper, an approach to identify fuzzy control rules is presented. The decision of the optimal number of fuzzy control rules is made by means of soft c-means clustering which is a clssification oriented approach based on quantitative informatio