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스러그 흐름내에서의 고체입자의 열전달 특성에 관한 연구
문병수,최경빈 ( Byung Soo Moon,Kyung Bin Choi ) 충북대학교 산업과학기술연구소 1995 산업과학기술연구 논문집 Vol.9 No.2
Abstract_Roman The process of heating or cooling granular or pulverized solids is receiving increased attention in the chemical industry. In many caaes of cooling or heating granular solids it is necessary or advantageous to keep the solids physically s
An edge detection method for gray scale images based on their fuzzy system representation
문병수(Byung Soo Moon),이현철(Hyun Chul Lee),김장열(Jang Yeol Kim) 한국지능시스템학회 2001 한국지능시스템학회논문지 Vol.11 No.6
이 논문에서는 디지털 영상의 퍼지시스템 표현으로부터 유도된 Edge검출 알고리듬에 대하여 기술한다. 이 알고리듬은 Gradient를 기반으로 한 것으로서 Convolution Kernel이 기존의 Roberts, Prewitt 또는 Sobel등이 제안한 Gradient Kernel 과 다른 새로운 것이다. 사용한 퍼지시스템은 디지털 영상을 근사적으로 표현한 Bicubic Spline 함수를 퍼지시스템 화한 것으로서 2차 도함수가 연속이기 때문에 Gradient나 Laplacian 연산이 가능하다. Grid 점들에서 이 함수의 Gradient는 두개의 축 방향으로 각각 한 개의 3×3행렬과 원래 영상과의 Convolution에 의하여 산출됨을 보였으며 이를 이용하여 검출 된 Edge들은 기존의 다른 방법을 사용하여 검출된 Edge영상보다 훨씬 선명함을 확인하였다. 이 알고리듬 적용사례 2개에 대한 기술이 포함되어 있다. Based on a fuzzy system representation of gray scale images, we derive an edge detection algorithm whose convolution kernel is different from the known kernels such as those of Roberts', Prewitt's or Sobel's gradient. Our fuzzy system representation is an exact representation of the bicubic spline function which represents the gray scale image approximately. Hence the fuzzy system is a continuous function and it provides a natural way to define the gradient and the Laplacian operator. We show that the gradient at grid points can be evaluated by taking the convolution of the image with a 3×3 kernel. We also show that our gradient coupled with the approximate value of the continuous function generates an edge detection method which creates edge images clearer than those by other methods. A few examples of applying our methods are included.
문병수(Byung Soo Moon),홍석붕(Seok Boong Hong) 한국정보과학회 1999 한국정보과학회 학술발표논문집 Vol.26 No.1B
A numeral or a character is considered as a 2-D shape with pixel representation (c_u)with each (c_u) being either O or 1. To each pixel (i,j), we assign the Cartesian product B_i(x)×B_i(y) of the two cubic B-spline functions B_i(x) and B_i(y) so that the character is represented by S(x,y)= ^(nn)∑_(i,j=1) c_u B_i(x)B_j(y) Using the functions ∇S(x,y) and ∇S²(x,y), we locate the end points, 2-way branches, 3-way branches and cross intersections for the characters. These points are in tum used to divide the characters into segments and count the numbers of linear, circular segments and of circles. Thus, a feature vector of 7 entries is formed for representing the 10 numerals and is used for a recognition of the numerals. The recognition process is done through a neural network trained by the back propagation algorithm.
Ill - Conditioned 정방행렬의 단측 역행렬 산출용 유사 인공신경망 알고리듬
문병수(Byung Soo Moon),양성운(Sung Woon Yang),김영택(Young Taek Kim) 한국정보과학회 1998 한국정보과학회 학술발표논문집 Vol.25 No.2Ⅱ
이 논문에서는 크기가 큰 Ill-Conditioned 정방행렬의 좌측 또는 우측 역행렬 계산시 계산상의 정확도를 향상시키는 알고리듬에 대하여 기술한다. 이 알고리듬은 대상 행렬의 행벡터들을 Input으로 하고 해당 Input 벡터가 몇번째 행 벡터인지를 나타내는 단위 벡터를 Target 벡터로 하며 초기 Weight 값으로 Pivoting을 겸한 Gauss소거법을 적용하여 얻은 역행렬을 사용하는 Single Layer 인공신경망에 적용하는 역전파 알고리듬과 흡사한 것이다. 각각의 Input 행 벡터에 대하여 역행렬의 열 벡터들이 점진적을 직교가 되거나 평행이 되도록 근접시키므로써 모든 Input 행 벡터들이 열벡터들에 비교적 균일하게 직교 또는 평행이 되도록 학습시키는 알고리듬이다.
한국인에서 Helicobacter pylori 감염의 혈청학적 역학 연구
김현수 ( Hyun Soo Kim ),이용찬 ( Yong Chan Lee ),이홍우 ( Hong Woo Lee ),유효민 ( Hyo Min Yoo ),이천균 ( Chun Gyon Lee ),김준명 ( Joon Myung Kim ),이광재 ( Kwang Jae Lee ),김범수 ( Pum Soo Kim ),문병수 ( Byung Soo Moon ),박효진 ( 대한소화기학회 1999 대한소화기학회지 Vol.33 No.2
Background/Aims: The aims of this study were to investigate the seroprevalence of H. pylori infec-tion and to find out the various epidemiologic factors related to H. pylori infection in Korea. Methods: From May, 1997 to July, 1997, 2,449 healthy subjects from 5 health center responded to the self- administered questionnaires for various epidemiologic factors. At the same time, H. pylori IgG level in serum were tested by ELISA (GAP test) and proved to be H. pylori 'positive' in cases whose cut-off values were over 15 μ/mL. Results: The overall seroprevalence of H. pylori infection was 44.8%. In relation to age, the seroprevalence of H. pylori infection was 57.8% in adults (age>18), and 15.3% in children (age, 1-18). The seroprevalence was 1.1% in younger group than 5, 12.8% in group aged between 5 and 9, 20.4% in group aged between 10 and 14, 33.3% in group aged between 15 and 19, and 66.7% in the 20' s. The results mean that the prevalence increases with age (p<0.001). Besides age, the other significant epidemiological factors affecting the seroprevalence of H. pylori infection were occupation, water source, presence of gastrointestinal symptoms in adults and FH of PUD and number of family members in children. Conclusions: In this study, the seropre-valence of H. pylori infection in adults was 57.8% which is lower than that of previous reports Further epidemiologic studies is needed to identify the role of epidemiologic factors of childhood and adolescent period, the major affected periods. (Kor J Gastroenterol 1999;33:170 - 182)