• 디지털산업정보학회논문지
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• 제17권4호
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• pp.77-83
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• 2021

As Open Source Software(OSS) recently invigorates, many companies actively use the OSSes in their business software. With such OSS invigoration, our web application is developed in order to provide the safety in using the OSSes, and update the information on the new vulnerabilities and the patches at all times by crawling the web pages of the relevant OSS home pages and the managing organizations of the vulnerabilities. By providing the updated information, our application helps the OSS users and developers to be aware of such security issues, and gives them to work in the safer environment from security risks. In addition, our application can be used as a security platform to greatly contribute to preventing potential security incidents not only for companies but also for individual developers.

• 대기
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• 제25권3호
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• pp.529-541
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• 2015

Korea Institute of Atmospheric Prediction System (KIAPS) has been developing a global numerial prediction model and data assimilation system. We has implemented LETKF (Local Ensemble Transform Kalman Filter, Hunt et al., 2007) data assimilation system to NCAR CAM-SE (National Center for Atmospheric Research Community Atmosphere Model with Spectral Element dynamical core, Dennis et al., 2012) that has cubed-sphere grid, known as the same grid system of KIAPS Integrated Model (KIM) now developing. In this study, we have assimilated Global Positioning System Radio Occultation (GPS-RO) bending angle measurements in addition to conventional data within ensemble-based data assimilation system. Before assimilating bending angle data, we performed a vertical unit conversion. The information of vertical localization for GPS-RO data is given by the unit of meter, but the vertical localization method in the LETKF system is based on pressure unit. Therefore, with a clever conversion of the vertical information, we have conducted experiments to search for the best vertical localization scale on GPS-RO data under the Observing System Simulation Experiments (OSSEs). As a result, we found the optimal setting of vertical localization for the GPS-RO bending angle data assimilation. We plan to apply the selected localization strategy to the LETKF system implemented to KIM which is expected to give better analysis of GPS-RO data assimilation due to much higher model top.

• 한국화재소방학회논문지
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• 제14권1호
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• pp.13-21
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• 2000

공동주택이 등장한 이래 지속적으로 고층화하고 있다. 한편 고층 공동주택의 화재위험성 및 화재로 인한 피해의 규모는 더욱 증대되고 있으며 많은 문제를 유발하고 있다. 그러나 화재안전을 위한 현재의 방법론과 법규정은 최소한의 규정이다. 본 연구의 목적은 고층 공동주택에서의 화재시 피난 특성을 분석하고, 한국 미국 일본의 피난관련 법규정의 분석을 통해 그 개선안을 제안하였다. 결과적으로 화재로 인한 예측되는 피해를 최소화하기 위해 법규정 및 실질적인 피난안전성능에 관한 검토가 필요하다.