• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 컴퓨터소사이어티 추계학술대회논문집
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• pp.211-214
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• 2003

In this paper, we intend to find user's TV program choosing pattern and, recommend programs that he/she wants. So we suggest item dependency map which express relation between chosen program. Using an algorithm that we suggest, we can recommend an program, which a user has not saw yet but maybe is likely to interested in. Item dependency map is used as patterns for association in hopfield network so we can extract users global program choosing pattern only using users partial information. Hopfield network can extract global information from sub-information. Our algorithm can predict user's inclination and recommend an user necessary information.

• 한국소음진동공학회논문집
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• 제19권10호
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• pp.1075-1082
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• 2009

Using GIS data of C-si as basic data when making noise map of road traffic, we estimated exactly the noise excess areas and consequently suggested the population and the area exposed to road traffic noise accurately. We made 3D noise map to assess regional distribution of noise quantitatively. The noise map consists of noise prediction model based on data base such as traffic volume and speed changes for estimating quantitatively the noise and 3D urban space model which includes locations of noise sources, 3D buildings, topography and roads. We made noise standard map according to land use conditions and compared this map to road traffic noise map, and consequently made excess noise map. Using excess noise map, we assessed areas which exceed environmental noise level standards and noise guidelines quantitatively and effectively through GIS spatial analysis, and consequently more accurate noise exposed area and noise exposed population could be estimated. To show buildings' outer walls noise exposure, we analyzed 3D urban noise distributions using 3D-analysis of GIS.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.179-184
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• 1995

A new cutting parameter is defined in the spherical part of ball end-mill cutter. A series of slot cutting experiments were carried out to obtain the cutting parameter. The cutter contact area is expressed as the grid posiotion in the cutting plane using Z map. The cutting forces in each grid are calculated and saved as force map, prior to the average cutting forces calculation. The cutting force, in the arbitrary cutting area, can be easily calculated by summing up the cutting forces of the engaged grid in the force map. This model was verified in the inclined surface cutting by cutting test of a cylindrical part.

• 한국정밀공학회지
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• 제14권3호
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• pp.57-65
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• 1997

In this study, a cutting force in the Ball-end milling process is calculated using Z-map. Z-map can describe any type of cutting area resulting from the previous cutting geometry and cutting condition. Cutting edge of a ball-end mill is divided into infinitesimal cutting edge elements and the position of the ele- ment is projected to the cutter plane normal to the Z axis. Also the cutting area in the cutter plane is obtained by using the Z-map. Comparing this projected position with cutting area, it can be determined whether it engages in the cutting. The cutting force can be calculated by numerical integration of cutting force acting on the engaged cutting edge elements. A series of experiments such as contouring and upward/downward ramp cutting was performed to verify the calculated cutting force.

• 한국멀티미디어학회논문지
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• 제14권7호
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• pp.917-923
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• 2011

본 논문에서는 JPEG2000 부호화 시스템의 과도한 메모리 요구 사항을 감소시키기 위해 예측 부호화 기반의 새로운 임베디드 압축(Embedded Compression, EC) 알고리즘을 제안한다. 본 논문의 EC 기법은 EC가 적용되지 않은 DWT 프로세서와 비교하여 DWT 과정에서 발생하는 임시적인 저주파 웨이블릿 계수들의 메모리 접근 및 크기를 50 %로 줄일 수 있다. 무손실의 영상 압축 시스템에 널리 쓰이면서 단순하지만 좋은 성능을 갖는 LOCO-I(LOw COmplexity LOssless COmpression for Image)와 MAP(Median Adaptive Predictor) 예측기를 제안한 EC 알고리즘에 적용하였다. 제안한 예측 기반의 EC 알고리즘은 예측 오차 값들을 인코딩하기 위하여 포워드 적응형 양자화와 고정 길이 코드를 사용한다. 시뮬레이션 결과를 통해 예측기가 LOCO-I와 MAP인 경우, 본 논문에서 제안한 EC 알고리즘에 의한 평균적인 PSNR 저하는 각각 0.48 dB와 0.26 dB임을 알 수 있다. 선행 논문 [9]에서 제안한 하다마드 변환(MHT) 기반의 EC 알고리즘과 비교하여 평균적인 PSNR이 약 1.39 dB 향상된다.

• 대한조선학회논문집
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• 제34권2호
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• pp.104-110
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• 1997

연안해역에서의 해상 운송량이 늘어남과 함께 유조선의 충돌 및 좌초 등의 해난사고에 의해 해양환경에 막대한 피해를 끼치는 원유 유출사고도 대폭 증가하고 있다. 누유의 효율적인 수거와 환경피해를 최소화 하기 위해서는 oil map 즉, 누유오염지역의 시간영역에서 정확한 예측이 매우 중요하다. 이러한 예측은 정수면위 누유의 초기확산과 조류, 바람 파도에 기인한 표층류에 의한 이동이라는 중요한 두가지 과정을 고려하여 이루어진다. 본 논문에서는 초기확산만을 고려하였다. 누유의 초기확산 추정을 위해 새로운 수치모델과 기법이 제안되었다. 본 모델의 타당성을 검증하기 위해 간단한 실험이 이루어졌다. 또한, 가상누유사고에 대해 수치 시뮬레이션을 수행하였는데 본 모델로 부터 기름층두께를 포함하는 매우 현실적인 oil map을 얻을 수 있었다.

• 한국물환경학회지
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• 제32권6호
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• pp.552-561
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• 2016

For the prediction of hydrologic phenomenon, predicting future land use change is a very important task. This study aimed to compare and analyze the two land use change models, CLUE-S and SLEUTH3-R. The analysis of two models were performed based on the MSR value such that the model with more reliable MSR value can be recommended as an appropriate land use change prediction model. The model performance was examined by applying to the Gapcheon A watershed. Land use map of the study area of 2007 obtained from the Ministry of Environment was compared with the predicted land use map obtained from each of the two models. The result from both models showed somewhat similar results. The MSR value obtained from CLUE-S was 0.564, while that from SLEUTH3-R was 0.586. However, when land use map of 2010 was compared with predicted land use map obtained from the two models in same manner, the MSR value obtained from CLUE-S' was 0.500 while that from SLEUTH3-R was decreased to 0.397, an approximately 32.3% decrease from previous value of 2007. Moreover, SLEUTH3-R showed more sensitivity in conversion of urban areas, as compared to other land use types. Therefore, for the prediction of future land use change, CLUE-S model is more reliable than SLEUTH3-R.

• 한국정보시스템학회지:정보시스템연구
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• 제2권
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• pp.127-140
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• 1993

• 방송공학회논문지
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• 제26권3호
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• pp.283-295
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• 2021

본 논문은 자기 조직화 지도 기법을 기반으로 라이다 기반으로 생성된 깊이 맵과 컬러 이미지의 정보를 기반으로 고밀도 깊이 맵을 생성하는 방법을 제안한다. 제안하는 깊이 맵 업샘플링 방법은 라이다에서 취득되지 않은 공간에 대한 초기 깊이 예측 단계와 초기 깊이 필터링 단계로 구성된다. 초기 깊이 예측 단계에서는 두 장의 컬러 이미지에 대해 스테레오 매칭을 수행하여 초기 깊이 값을 예측한다. 깊이 맵 필터링 단계에서는 예측된 초기 깊이 값의 오차를 감소시키고자 예측 깊이 픽셀에 대하여 주변의 실측 깊이 값을 이용하여 자기 조직화 지도 기법을 수행한다. 자기 조직화 기법 수행 시 예측 깊이 픽셀과 실측 깊이 픽셀의 거리와, 각 픽셀에 대응되는 컬러 값의 차이에 따라 가중치를 결정한다. 본 논문에서는 성능 비교를 위하여 깊이 맵 업샘플링 방법으로 널리 사용되고 있는 양방향 필터 및 k-최근접 이웃 알고리즘과 비교를 진행하였다. 제안하는 방법은 양방향 필터 방법 및 k-최근접 이웃 알고리즘 대비 MAE 관점에서 각각 약 6.4%, 8.6%이 감소하였고 RMSE 관점에서 각각 약 10.8%, 14.3%이 감소하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2006년도 학술발표회 논문집
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• pp.1145-1149
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• 2006

The typhoon Rusa passed through the Korean peninsula from the west-southern part to the east-northern part in the summer season of 2002. The flash flood due to the Rusa was occurred over the Korean peninsula and especially the damage was concentrated in Kangnung, Yangyang, Kosung, and Jeongsun areas of Kangwon-Do. Since the latter half of the 1990s the flash flood has became one of the frequently occurred natural disasters in Korea. Flash floods are a significant threat to lives and properties. The government has prepared against the flood disaster with the structural and nonstructural measures such as dams, levees, and flood forecasting systems. However, since the flood forecasting system requires the rainfall observations as the input data of a rainfall-runoff model, it is not a realistic system for the flash flood which is occurred in the small basins with the short travel time of flood flow. Therefore, the flash flood forecasting system should be constructed for providing the realistic alternative plan for the flash flood. To do so, firstly, Flash Flood Monitoring and Prediction (FFMP) Model must be developed suitable to Korea terrain. In this paper, We develop the FFMP model which is based on GIS, Radar techniques and hydro-geomorphologic approaches. We call it the F2MAP model. F2MAP model has three main components (1) radar rainfall estimation module for the Quantitative Precipitation Forecasts (QPF), (2) GIS Module for the Digital terrain analysis, called TOPAZ(Topographic PArametiZation), (3) hydrological module for the estimation of threshold runoff and Flash Flood Guidance(FFG). For the performance test of the model developed in this paper, F2MAP model applied to the Kangwon-Do, Korea, where had a severe damage by the Typhoon Rusa in August, 2002. The result shown that F2MAP model is suitable for the monitoring and the prediction of flash flood.