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황치규,황재정 群山大學校 情報通信技術硏究所 1997 情報通信技術硏究論文集 Vol.1 No.-
It is necessary to get higher bandwidth, mobility, efficient hand-off functions in the field of wireless communication with rapid development of ATM and wireless techniques. Users are able to communicate over the limited communication area with the soft hand-off implementation. In this paper, we discuss channel access and hand-off process in WATM(Wireless ATM(and propose a rerouting technique, called NCNR(Nearest Common Node Rerouting), as the fast and efficient technique for rerouting user connection due to the hand-off.
황재정,황치규,박종필 群山大學校 情報通信技術硏究所 1998 情報通信技術硏究論文集 Vol.2 No.-
Rate-distortion theory means that the lower limit of transmission rate is determind according to the distortion quantity. This theory is fundamentally important factor in the visual system without visually sensitive distortion. Rate-distortion theory originating in the notion of information quantity is derived using probability distribution of orignal signal and measurement of distortion. In this paper, we develop the R(D) function with the distribution function of Gaussian and Laplacian, using the absolute error criteria and the square error criteria. Then we applied these functions to H.263 video coder at very low-bitrate. Though the Laplacian and Gaussian distribution can be applied, we show that the lowest point on which the rate becomes zero is lower in the case of Laplacian than in the case of Gaussian.
조상규,황치규,황재정 한국통신학회 2004 韓國通信學會論文誌 Vol.29 No.8C
개인용 컴퓨터에 연결하여 널리 사용되는 가시광선 카메라에 의해서 획득된 실시간 영상 데이터를 가지고 동공의 움직임을 검출하는 시스템을 제안하였다. 시스템은 3단계로 구성되는데, 첫 단계로 haar-like 기반의 특징 기법을 이용해서 얼굴 영역이 검출되고, 다음으로 얼굴 영역 내에서 템플릿 기반 기법을 이용하여 눈 영역이 검출된다. 끝으로 눈 영역 내에서 동공 부위가 검출되는데 눈 영상의 수평 및 수직 히스토그램 프로파일에 가우시안 필터를 컨벌루션 한 기법을 제안하였다. 실험 결과 2375개의 영장에 대해서 90% 이상의 검출율을 얻었으며 데이터 처리시간은 약 160㎳로 초당 7회씩 검출할 수 있었다. A real-time pupil detection system that detects the pupil movement from the real-time video data achieved by the visual light camera for general purpose personal computer is proposed. It is implemented with three steps; at first, face region is detected using the Haar-like feature detection scheme, and then eye region is detected within the face region using the template-based scheme. Finally, pupil movement is detected within the eye region by convolution of the horizontal and vertical histogram profiling and Gaussian filter. As results, we obtained more than 90% of the detection rate from 2375 simulation images and the data processing time is about 160㎳, that detects 7 times per second.