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풍수해 피해예측지도 연계·활용을 위한 표준 메타데이터 설계
서강현,황의호,백승협,임소망,채효석,SEO, Kang-Hyeon,HWANG, Eui-Ho,BAECK, Seung-Hyub,LIM, So-Mang,CHAE, Hyo-Sok 한국지리정보학회 2017 한국지리정보학회지 Vol.20 No.3
본 연구는 풍수해 피해예측지도 활용 고도화에 필요한 표준 메타데이터를 시범 설계하고, 이를 기반으로 표준메타정보관리 프로토타입 시스템 구축을 목적으로 하였다. 이를 위해, 국내 외 메타데이터 표준 현황 조사를 통해 가장 활용도가 높은 것으로 분석된 ISO/TC211 19115 국제표준을 기반으로 표준 메타데이터 설계 방향을 설정하였으며, 식별정보, 기준계정보, 배포정보 등 9개의 클래스로 구분하여 메타데이터를 시범 설계하였다. 또한, 본 연구에서 설계한 표준 메타데이터를 바탕으로 메타속성정보를 확인 및 다운로드할 수 있는 표준메타정보관리 프로토타입 시스템을 HTML 기반 JAVASCRIPT 언어로 구축하였다. 본 연구결과를 활용한다면, 표준화된 통합 풍수해 피해예측지도 데이터베이스 구축을 통해 향후 구축되는 피해예측지도의 품질유지가 가능해지며, 풍수해 피해예측 시스템 운영에 필요한 데이터 관리 및 제공 등을 통해 효율적인 재난대응에 활용가능할 것으로 사료된다. This study aims at designing standard metadata that can be incorporated for advanced utilization of damage prediction maps, and thereby constructing the standard meta-information management prototype system on the basis of the proposed design. Based on the ISO/TC 211 19115 international standard, which is considered as the most widely used standard (as per the results of a domestic and foreign metadata standard survey), the designing process for the standard metadata was established and the metadata was categorized into nine classes. Additionally, based on the output of the standard metadata design process, a standard meta-information management prototype system, capable of checking and downloading meta-property information, was constructed using the JAVASCRIPT language. By incorporating the obtained results, it is possible to maintain the quality of the constructed damage prediction map by establishing a standardized damage prediction map database. Furthermore, disaster response can be actuated through the provision and management of data for effective operation of the proposed damage prediction system.
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김태은 ( Tae-eun Kim ),서강현 ( Kang-hyeon Seo ),김동수 ( Dong-su Kim ),김서준 ( Seo-jun Kim ) 한국환경과학회 2016 한국환경과학회지 Vol.25 No.8
The accuracy of digital elevation models (DEMs) is crucial for properly estimating flood inundation area. DEM pixel size is especially important when generating flood inundation maps of small streams with a channel width of less than 50 m. In Korea, DEMs with large spatial resolutions of 30 m have been widely applied to generate flood inundation maps, even for small streams. Additionally, when making river master plans, field observations of stream cross-sections, as well as reference points in the middle of the river, have not previously been used to enhance the DEM. In this study, it was graphically demonstrated that high-resolution DEMs can increase the accuracy of flood inundation mapping, especially for small streams. Also, a methodology was proposed to modify the existing low-resolution DEMs by adding additional survey reference points, including river cross-sections, and interpolating them into a high spatial resolution DEM using the inverse distance weighting method. For verification purposes, the modified DEM was applied to Han stream on Jeju Island. The modified DEM showed much better accuracy when describing morphological features near the stream. Moreover, the flood inundation maps were formulated with the original 30 m pixel DEM and the modified 0.1 m pixel DEM using HEC-RAS modeling of the actual flood event of Typhoon Nari, and then compared with the flood history map of Nari. The results clearly indicated that the modified DEM generated a similar inundation area, but a very poor estimate of inundation area was derived from the original low-resolution DEM.
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안대영(Dae Young An)(安大永),서강현(Kang Hyeon Seo)(徐康炫),정홍상(Hong Sang Jeong)(鄭洪相) 위기관리 이론과 실천 2013 Crisisonomy Vol.9 No.8
본 연구는 경북 지역 일선 소방 공무원을 대상으로 한 셀프 리더십, 조직 몰입, 혁신 행동, 조직 시민 행동 간의 관계에 대한 실증 연구이다. 셀프 리더십을 독립 변수로, 조직 몰입을 매개 변수로, 혁신 행동과 조직 시민 행동을 종속 변수로 설정하여 구조 방정식을 활용한 설문지 자료 분석 결과 경북 지역 일선 소방공무원의 경우 셀프 리더십이 조직 몰입을 매개 변수로 하여 간접 또는 직접적으로 혁신 행동과 조직 시민 행동에 긍정적 영향을 미치는 원인 변수로 기능하고 있음을 알 수 있었다. 본 연구의 연구 결과는 일선 소방 공무원에게 특히 요구되는 혁신 행동과 조직 시민 행동의 향상을 위해서는 조직 관리의 측면에서 일선 소방 공무원 개개인의 셀프 리더십 함양에 주목할 필요가 있음을 실증적으로 보여주고 있다. This is an empirical study on organizational behavior of the street level fire service officials, focused on the relationships with self leadership, organizational commitment, innovative behavior, and organizational citizenship behavior. As a data collection method, we commissioned a questionnaire survey to find out the relationships with self leadership, organizational commitment, innovative behavior, and organizational citizenship behavior. The respondents for our study were the street level fire service officials in Gyeongsangbuk-do. In order to analyze the data, we used such statistical techniques as Cronbach Alpha Coefficient, and Structural Equation Modeling. On the basis of such data analyses, the study shows that self leadership, which is mediated by organizational commitment, could positively affect innovative behavior, and organizational citizenship behavior directly or indirectly in the case of the street level fire service officials.
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노이즈 레벨 및 유사도 평가 기반 저선량 조건의 전산화 단층 검사 영상에서의 비지역적 평균 알고리즘의 최적화
정하선(Ha-Seon Jeong),김이준(Ie-Jun Kim),박수빈(Su-Bin Park),박수연(Suyeon Park),오윤지(Yunji Oh),이우석(Woo-Seok Lee),서강현(Kang-Hyeon Seo),이영진(Youngjin Lee) 대한방사선과학회(구 대한방사선기술학회) 2024 방사선기술과학 Vol.47 No.1
In this study, we optimized the FNLM algorithm through a simulation study and applied it to a phantom scanned by low-dose CT to evaluate whether the FNLM algorithm can be used to obtain improved image quality images. We optimized the FNLM algorithm with MASH phantom and FASH phantom, which the algorithm was applied with MATLAB, increasing the smoothing factor from 0.01 to 0.05 with increments of 0.001 and measuring COV, RMSE, and PSNR values of the phantoms. For both phantom, COV and RMSE decreased, and PSNR increased as the smoothing factor increased. Based on the above results, we optimized a smoothing factor value of 0.043 for the FNLM algorithm. Then we applied the optimized FNLM algorithm to low dose lung CT and lung CT under normal conditions. In both images, the COV decreased by 55.33 times and 5.08 times respectively, and we confirmed that the quality of the image of low dose CT applying the optimized FNLM algorithm was 5.08 times better than the image of lung CT under normal conditions. In conclusion, we found that the smoothing factor of 0.043 among the factors of the FNLM algorithm showed the best results and validated the performance by reducing the noise in the low-quality CT images due to low dose with the optimized FNLM algorithm.
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