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      • KCI등재후보

        구순구개열 환자의 치아 선천결손 유형과 관련 유전자에 관한 고찰

        안효원,백승학 대한구순구개열학회 2007 대한구순구개열학회지 Vol.10 No.2

        Cleft lip and palate (CLP) is one of the most prevalent congenital craniofacial anomalies. It has a significantly greater incidence of dental abnormalities in number, size, shape, and eruption of the teeth. Knout-out mouse model can identify several genes which play an important role in tooth agenesis. Since disruption of these genes has been confirmed to result in tooth agenesis in humans, CLP associated with hypodontia may be the best models for isolated tooth agenesis. According to the studies of dental abnormalities in CLP, the severity of dental defect is known to be influenced by the CLP phenotype. The cumulative data obtained from mouse and human genetic studies indicated that MSX1, PAX9 and AXIN2 are considered as candidate genes in non-syndromic hypodontia, while Shh, Pitx2, Irf6, p63 and EDA pathway genes are involved in syndromic one. We expect that genetic approach of CLP can offer the basis for tooth regeneration and be a new target in hypodontia therapy.

      • KCI등재
      • KCI등재

        SPI와 EDI를 이용한 충남 서부지역 과거와 미래 가뭄 평가

        안효원,하규철,An, Hyowon,Ha, Kyoochul 한국지하수토양환경학회 2020 지하수토양환경 Vol.25 No.4

        The drought has occurred from the past, and has caused a lot of damage. It is important to analyze the past droughts and predict them in the future. In this study, the temperature and precipitation of the past and the future from climate change RCP 4.5 and 8.5 scenarios were analyzed for Seosan and Boryeong in the western region of Chungnam Province, which is considered as a drought-prone area on the Korean Peninsula. Comparing Standardized Precipitation Index (SPI) and Effective Drought Index (EDI) based on the past droughts, EDI was verified to be more suitable for the drought assessment. According to RCP 4.5, the frequency and intensity of droughts in the early future (2021~2060) were expected to increase and to be stronger. Particularly, severe droughts were predicted for a long time from 2022 to 2026, and from 2032 to 2039. Droughts were expected to decrease in the late future (2061~2100). From RCP 8.5, drought occurrences were predicted to increase, but the intensity of the droughts were expected to decrease in the future. As a result of evaluation of the frequencies of droughts by seasons, the region would be most affected by fall drought in the early future and by spring drought in the late future according to RCP 4.5. In the case of RCP 8.5, the seasonal effects were not clearly distinguished. These results suggest that droughts in the future do not have any tendency, but continue to occurr as in the past. Therefore, the measures and efforts to secure water resources and reinforcement of water supply facilities should be prepared to cope with droughts.

      • KCI등재
      • KCI등재

        분포형 물수지 모델(WetSpass-M)을 이용한 삽교천 상류 유역에서의 월별 지하수 함양량 산정

        안효원,하규철,An, Hyowon,Ha, Kyoochul 한국지하수토양환경학회 2021 지하수토양환경 Vol.26 No.6

        In this study, the annual and monthly groundwater recharge for the Sapgyo-cheon upstream basin in Chungnam Province was evaluated by water balance analysis utilizing WetSpass-M model. The modeling input data such as topography, climate parameters, LAI (Leaf Area Index), land use, and soil characteristics were established using ArcGIS, QGIS, and Python programs. The results showed that the annual average groundwater recharge in 2001 - 2020 was 251 mm, while the monthly groundwater recharge significantly varied over time, fluctuating between 1 and 47 mm. The variation was high in summer, and relatively low in winter. Variation in groundwater recharge was the largest in July in which precipitation was heavily concentrated, and the variation was closely associated with several factors including the total amount of precipitation, the number of days of the precipitation, and the daily average precipitation. This suggests the extent of groundwater recharge is greatly influenced not only by quantity of precipitation but also the precipitation pattern. Since climate condition has a profound effect on the monthly groundwater recharge, evaluation of monthly groundwater recharge need to be carried out by considering both seasonal and regional variability for better groundwater usage and management. In addition, the mathematical tools for groundwater recharge analysis need to be improved for more accurate prediction of groundwater recharge.

      • KCI등재

        고해상도 위성영상을 활용한 자동화된 건물 영역 추출 하이브리드 접근법

        안효원,김창재,이효성,권원석 한국측량학회 2019 한국측량학회지 Vol.37 No.6

        This research aims to provide a building area extraction approach over the areas where data acquisition is impossible through field surveying, aerial photography and lidar scanning. Hence, high-resolution satellite images, which have high accessibility over the earth, are utilized for the automated building extraction in this study. 3D point clouds or DSM (Digital Surface Models), derived from the stereo image matching process, provides low quality of building area extraction due to their high level of noises and holes. In this regards, this research proposes a hybrid building area extraction approach which utilizes 3D point clouds (from image matching), and color and linear information (from imagery). First of all, ground and non-ground points are separated from 3D point clouds; then, the initial building hypothesis is extracted from the non-ground points. Secondly, color based building hypothesis is produced by considering the overlapping between the initial building hypothesis and the color segmentation result. Afterwards, line detection and space partitioning results are utilized to acquire the final building areas. The proposed approach shows 98.44% of correctness, 95.05% of completeness, and 1.05m of positional accuracy. Moreover, we see the possibility that the irregular shapes of building areas can be extracted through the proposed approach. 본 연구에서는 기존의 연구들에서 주로 사용하여왔던 현장측량, 항공사진, 라이다 데이터 등의 취득이 원천적으로 어려운 지역에 대한 건물 영역 추출을 구현하고자 하였다. 이에 접근성에 큰 영향을 받지 않는 거의 유일한 데이터인 고해상도 위성영상을 활용한 방법론을 제시하고자 한다. 영상정합을 통해 추출되는 점군 데이터 또는 DSM (Digital Surface Models)을 활용한 건물 영역 추출은 데이터내의 높은 잡음과 다수의 빈 영역으로 인해 그 정확성에 한계를 보이고 있다. 따라서 본 연구에서는 영상 정합을 통해 얻어진 3차원 점군 데이터, 영상의 색상 및 선형 정보를 결합하여 건물 영역 추출을 수행하는 하이브리드식 접근법을 제안하였다. 일차적으로 다중영상정합으로 얻어진 3차원 점군 데이터로부터 지면점과 비지면점을 분리하고, 비지면점으로부터 초기 건물 대상지를 추출한다. 이후, 영상의 색상기반 분할을 수행하여 얻어진 결과와 초기 건물 대상지를 결합하여, 색상분할기반 건물 대상지를 추출한다. 이어서 영상의 선형 추출 및 공간 분할정보를 이용하여 최종적인 건물 영역을 선정하게 된다. 본 논문에서 제시한 건물 영역 자동 추출 방법론은 Correctness: 98.44%, Completeness: 95.05%, 위치오차: 1.05m 정도의 성능을 보임을 확인하였으며, 더불어 직각형태 이상의 복잡한 건물 영역도 잘 추출함을 확인하였다.

      • KCI등재

        수도권 1인가구의 통행발생 특성에 관한 연구

        안효원,이종호,오승훈,Ahn, Hyo Won,Rhee, Jong Ho,Oh, Seung Hwoon 대한토목학회 2013 대한토목학회논문집 Vol.33 No.6

        Single-person households in the Seoul Metropolitan Area have increased sharply during recent 20-30 years. Despite of decreasing in the total population, the number of single-person household is predicted to increase continuously. However, the effect of single-person household growth on the domestic transport sector has not been studied concretely. In this study, the differences on trip generation characteristics by household size and attributes were figured out by analyzing Seoul Metropolitan Area Household Travel Behavior Survey (SMA-HTBS). Firstly, trip generation rates (trips/day/person) were produced by household attribute, household member attribute and trip attribute based on SMA-HTBS. Secondly, trip generation rate of single-person household and that of multi-person (2 or more) household were compared by significance test. It was found that trips generation characteristics of single-person household is quite different from those of multi-person household by housing type, residential type, living area, and transport mode. The result of this paper is expected to contribute developing more sophisticated trip generation model and transport policy reflecting trip generation characteristics of single-person household. 최근 20~30년사이 수도권 1인가구의 비율은 크게 증가하였으며, 총 인구의 감소에도 불구하고 1인가구수는 지속적으로 증가할 것으로 예상된다. 그러나 국내 교통분야에서는 1인가구 증가가 교통분야에 미치는 연구가 미흡한 실정이다. 본 연구는 수도권 가구통행실태조사를 활용하여 가구 속성별로 가구규모에 따른 통행발생의 차이를 알아보기로 하였다. 연구방법으로는 수도권 가구통행실태조사 자료에서 가구 속성과 가구원 속성, 통행 속성에 대하여 가구규모별로 통행발생횟수(/일/인)을 산출하였다. 유의성검토를 거쳐 1인가구와 타 규모(2인 이상)가구와의 비교를 통하여 1인가구만의 통행발생 특성을 분석하였다. 연구 결과로는 전체적으로 1인가구의 통행발생은 타 규모 가구의 통행발생보다 높게 나타났으며, 주택종류, 거주형태, 지역, 통행수단 속성에서도 차별된 통행발생 특성을 보여주었다. 본 연구의 결과가 1인가구의 통행발생 특성을 반영한 통행발생모형 구축 등 교통정책개발에 이바지하길 기대하여본다.

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