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남부희(Boo Hee Nam),강성귀(Sung-Gui Kang),유태우(Tae-U Yu),방병렬(Byeong Ryeol Bang),지규인(Gyu-In Jee) 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
We design a multi-element photo-detector to measure the size of particles using the diffracted light energy distribution. The scattered profile measured by the photodetector is sampled by a 32 channel analog-to-digital converter. A nonnegative least squares analysis translates the light energy distribution into the corresponding unique particle size distribution. The responses of the particle sizing system are studied theoretically and experimentally.
Transmission of Moving Image on the Internet Using Wavelet Transform and Neural Network
김정하,이학노,남부희,Kim, Jeong-Ha,Lee, Hak-No,Nam, Boo-Hee Institute of Control 2004 제어·로봇·시스템학회 논문지 Vol.10 No.11
In this Paper we discuss an algorithm for a real-time transmission of moving color image on the TCP/IP network using wavelet transform and neural network. The Image frames received from the camera are two-level wavelet-transformed in the server, and are transmitted to the client on the network. Then, the client performs the inverse wavelet-transform using only the received pieces of each image frame within the prescribed time limit to display the moving images. When the TCP/IP network is busy, only a fraction of each image frame will be delivered. When the line is free, the whole frame of each image will be transferred to the client. The receiver warns the sender of the condition of traffic congestion in the network by sending a special short frame for this specific purpose. The sender can respond to this information of warning by simply reducing the data rate which is adjusted with a neural network or fuzzy logic. In this way we can send a stream of moving images adaptively adjusting to the network traffic condition.
DWT와 데이터 매트릭스를 이용한 워터마크 삽입을 위한 시스템 구현
박종삼(Jong Sam Park),남부희(Boo Hee Nam) 대한전기학회 2007 대한전기학회 학술대회 논문집 Vol.2007 No.10
본 워터마크를 삽입 할 수 있는 임베디드 시스템을 구현 하였다. 워터마크 삽입을 위해 DWT와 Data Matrix가 사용되었다. DWT(Discrete Wavelet Transform)는 주파수 공간에서 워터마크를 삽입하기 위해 사용되었고, Data Matrix는 워터마크로 사용되었다. 데이터 매트릭스는 미국의 Data Matrix사가 만든 이차원 바코드로 오류검출 및 복원 알고리즘을 가지고 있어 작은 에러는 복원이 가능 하다. 시스템으로는 PDA를 사용하였고, 툴로는 EVC를 사용하였다. 삽입 알고리즘은 다음과 같다. DWT를 한 경우 4개의 서브밴드로 나누어지며, 그 중 cV(horizontal detail)와 cH(vertical detail)를 선택하여 4*4블록 단위로 나눈다. 나누어진 블록과 대응하는 워터마크의 픽셀 값에 의해 계수에 일정 값(가중치)을 더하거나 빼주어 워터마크를 삽입한다. 추출 알고리즘은 역으로 이루어진다. 성능평가는 PDA에서 워터마크 삽입 알고리즘을 통하여 워터마크를 삽입, 추출된 영상을 가지고 Matlab을 이용하여 평가하였다.
최승달(Seung Dal Choi),남부희(Boo Hee Nam) 대한전기학회 2006 정보 및 제어 심포지엄 논문집 Vol.2006 No.1
This paper is to propose the palm print recognition system using wavelet transform. The palm print is frequently used as the material for the biometric recognition system such as the finger print, iris, face, etc. Since the palm print has lots of properties which include principle line, wrinkles, ridge and so forth, the ways of the implementation of the system are various. In this paper, at first, the palm print image is acquired and then some level of wavelet transform is performed. The coefficients become to be some blocks size of M by N after divided into the horizontal, vertical, diagonal components each level. The mean values, which are calculated with values of each block, are used as the feature vector. To compare between the stored template and the acquired vectors. we adopt the PNN (Probability Neural Network) method.