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권기홍 대전대학교 기초과학연구소 1996 自然科學 Vol.7 No.2
진자에 작용하는 장력과 순 힘을 진자의 위치를 나타내는 각도 θ와 초기 각도 θo의 함수로 구하였다. The tension and net force acting on the pendulum bob are derived in terms of the angle θ and the initial angle θo.
권기홍,Kwon, Kee-Hong 한국컴퓨터산업학회 2005 컴퓨터産業敎育學會論文誌 Vol.6 No.3
국부 반복 복원 처리는 영상 전체를 반복 복원하는 기존의 반복 복원과는 달리, 영상을 국부적으로 구분하여, 변화량이 큰 부분은 기존의 반복 복원으로 처리하고 변화량이 적은 부분은 LOG함수의 특성을 이용하여 신장 시킨 다음 처리하고, 다시 압축시키므로, 기존의 반복 복원 처리보다도 MSE(Mean Square Error)를 월등히 줄일 수 있을 뿐 아니라 변화량이 적은 부분도 처리가 잘되고, 또 기존의 반복처리 방법이 갖는, 적은 메모리 용량의 소요, 비선형 제약조건의 사용 가능, 약간의 변형으로 언제나 수렴성을 보장하는 등의 장점을 모두 가진다. 이 방법을 영상에 적용시킨 결과, MSE의 현저한 감소, 반복횟수 감소에 따른 반복시간 단축을 확인 할 수 있었다. 그러므로, 이 방법은 MSE를 줄이고 또한 처리 시간 단축을 목적으로 하는 영상의 복원에 적용될 수 있는 매우 우수한 방법임을 알 수 있다. This paper describes iterative restoration method of restoring blurred images using the LOG compansion function and Conjugate Gradient method. Conventional restoration methods results satisfy the requirement performance for restoring blurred images. but iteration number and convergence velocity increase. This paper proposed an opmtimised iteration restoration method for the images degraded by blurring effect, using the LOG compansion function and Conjugate Gradient method. Here, the LOG compansion function used to improve local properties of the image being restored, made the visual character and convergence velocity of the restored image improved. Throught the simulation results, the author showed that proposed algorithm produced superior performance results by conventional methods.
權起弘 대구산업정보대학 1997 논문집 Vol.11 No.2
This paper restored the original image, by mean filter, median filter, NAGAO filter, LEE filter, and CSW filter after mixing GIRL.IMG with the white Gausian noise at 20dB, and characterized the results by the filterings, graphs and MSE results. Therefore, the results of restorering images were improved. This paper used the median filter in order to resolve the problems of mean filtering and improved the images. This paper introduced NAGAO, and CSW to restore detailed noises by using directional iterate filters, and used LEE filter for restoring closely the original images without priori-information.
權起弘 대구산업정보대학 1996 논문집 Vol.10 No.2
The purpose of this paper is to introduce for method of the restoration of an image degraded by White Gaussian noise. This method is Lee filtering, that presented used to local variance and local mean to preseving edge as adjusted to contrast of each pixel. Lee algorithm is advantaged of removed in flat well and preserving edge. but, edge area is disadvantaged of not removed noise well area of edge of this part represented origin of value pixel observed.
시각 특성을 고려한 2차원 신호의 최적화 알고리즘에 관한 연구
權起弘 대구산업정보대학 1995 논문집 Vol.9 No.2
This paper describes iterative restoration method of restoring blurred images using the LOG compansion function and Steepest-Descent method. Conventional restoration methods results satisfy the requirement performance for restoring blurred images. but iteration number and convergence velocity increase. This paper proposed an opmtimised iterationrestoration method for the images degraded by blurring effect, using the LOG compansion function and Steepest-Descent method. Here, the LOG compansion function used to improve local properties of the image being restored, made the visual character and convergence velocity of the estored image improved. Through the simulation results, The author showed that proposed algorithm produced superior performance results by conventional methods.
권기홍 경산대학교(대구한의과대학) 1998 環境硏究 Vol.3 No.1
This study was carried out to evaluate the quantity of industrial waste generated in Korea and the physico-chemical characteristics with generative dewatered sludges at wastewater treatment process of 6 different industry types. Sludge generation rate according to the industrial types was 2,148ton/yrear at chemical plant industry, 720ton/year at textile industry, 588ton/year at coke· petroleum industry and 480ton/year at 1st metal industry, respectively. Moisture of sudges were 81.5% in textile industry, 81.4% in frame metal industry, 80.7% in 1st metal industry, Volatile solid were 22.1% in hide · rubber industry, 21.9% in coke·petroleum industry. Fixed solid were 18.5% and 17.7% in the 1st metal industry and frame metal industry. High heating value by wet base were 1,850kca1/kg-wet waste in coke·petroleum industry, 1,220 kcal/kg-wet waste in hide·rubber industry, but the 1st metal industry and frame metal industry's sludge were impossible to incinerate because it was mostly inorganic sludge. In comparison with the Korean extraction limit, some of discharged sludge at hide·rubber. chemical, frame metal industry exceeded the limit and was classified as the specific waste. And in other industries it was lower than the limit.