• 대기
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• 제31권2호
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• pp.185-198
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• 2021

In this study, we examined a spatial downscaling method based on Gradient and Inverse Distance Squared (GIDS) weighting to produce high-resolution grid data from a numerical weather prediction model over Korean Peninsula with complex terrain. The GIDS is a simple and effective geostatistical downscaling method using horizontal distance gradients and an elevation. The predicted meteorological variables (e.g., temperature and 3-hr accumulated rainfall amount) from the Limited-area ENsemble prediction System (LENS; horizontal grid spacing of 3 km) are used for the GIDS to produce a higher horizontal resolution (1.5 km) data set. The obtained results were compared to those from the bilinear interpolation. The GIDS effectively produced high-resolution gridded data for temperature with the continuous spatial distribution and high dependence on topography. The results showed a better agreement with the observation by increasing a searching radius from 10 to 30 km. However, the GIDS showed relatively lower performance for the precipitation variable. Although the GIDS has a significant efficiency in producing a higher resolution gridded temperature data, it requires further study to be applied for rainfall events.

• 한국지리정보학회지
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• 제10권1호
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• pp.183-193
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• 2007

지반정보 DB구축사업은 1999년 지반조사 성과의 공유 및 재사용의 필요성이 제기되면서 시작되었다. 초기 국도를 대상으로 사업을 시작하였으며, 2005년부터 전 국토를 대상으로 지반정보 DB를 구축하고 있다. 현재, 총 60,581공의 지반정보 DB를 구축 제공 중에 있다. 본 연구에서는 지반정보DB의 활용 향상 및 국가지정보유통망과 연계를 위한 지반정보 유통시스템을 개발하였다. 또한 지반정보 DB 활용도 향상을 위한 방안도 제시하였다. 지반정보 유통시스템은 건설현장에서 지반정보 검색 및 제공가능하고, 수치지도와 함께 활용할 수 있는 GIS기반의 시스템으로, 지반정보 및 메타데이터 입력기, 지반정보 등록도구, 유통용 웹시스템으로 구성되어 있다. 본 연구를 통해 개발된 지반정보 유통시스템은 지반정보 관련업무 및 처리의 효율성을 향상시키고, 건설의 모든 공정단계에서 지반정보 활용을 향상시킬 수 있을 것으로 판단된다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.323-328
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• 2007

Geotechnical Information Database Project was began by Ministry of Construction Transport at the 1999, because many people need a sharing and reusing the geotechnical report in construction process. In the beginning, target was report of national highway construction. the whole of country has been target on since the 2005. Today, the 60,581 number of geotechnical data(counted by boring number) is maintained. In this study, Geotechnical Information Distribute System(GIDS) was developed, in order to improve practical use and to be connected to National Geographic Information Center(NGIC). and program to be applicable to construction was suggested. We expect that GIDS make a effect to improve geotechnical data application and to be use in all part of construction process.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 춘계학술발표대회
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• pp.230-233
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• 2011

Chronic disease is linked to patient's' lifestyle. Therefore, doctor has to monitor his/her patient over time. This may involve reviewing many reports, finding any changes, and modifying several treatments. One solution to optimize the burden is using a visualizing tool over time such as a timeline-based visualization tool where all reports and medicine are integrated in a problem centric and time-based style to enable the doctor to predict and adjust the treatment plan. This solution was proposed by Bui et. al. [2] to observe the medical history of a patient. However, there was limitation of studying the diabetes patient's history to find out what was the cause of the current development in patient's condition; moreover what would be the prediction of current implication in one of the diabetes' related factors (such as fat, cholesterol, or potassium). In this paper, we propose a Grid-based Interactive Diabetes System (GIDS) to support bioinformatics analysis application for diabetes diseases. GIDS used an agglomerative clustering algorithm as clustering correlation algorithm as primary algorithm to focus medical researcher in the findings to predict the implication of the undertaken diabetes patient. The algorithm was Chronological Clustering proposed by P. Legendre [11] [12].