• Ecology and Resilient Infrastructure
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• v.9 no.3
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• pp.131-140
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• 2022

The magnitude and frequency of extreme floods are increasing owing to the effects of climate change. Therefore, multipurpose flood management techniques incorporating nature-based solutions have been introduced to mitigate the limitations of flood management and river design methods relying on existing observation data. Nature-based solutions to prepare for such extreme flooding events include ways to retreat the embankment, expand the floodplain, and reduce flood damage. To apply these technologies, adopting appropriate location selection methods based on various evaluation factors, such as flood damage reduction effects, sustainable ecological environments, river connectivity, and physical channel structure enhancements, should be prioritized. Therefore, in this study, the optimal location for implementing the multipurpose floodplain construction project was determined by selecting the location of the floodplain expansion with objectivity in the river waterfront area upstream of Daecheong Dam to downstream of Yongdam Dam. Through the final location determination, the Dongdaeje and Jeogokje sections were included in the optimal location considering both flood damage reduction and water environment improvement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.412-424
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• 2019

In this study, the changes of the streamflow characteristics of the watershed were analysed depending on the infiltration methods of CAT. The study area, Boryeong-dam watershed located in Chungcheongnam-do area, has been suffered from severe drought in recent years and stabilized regarding on the storage rate through efforts such as constructing a channel connecting the upstream of Boryeong-dam from the downstream of the Geum river. In this study, the effects of soil infiltration parameters on the watershed streamflow characteristics were analyzed by the infiltration methods of CAT such as Rainfall Excess, Green&Ampt and Horton. And the parameter calibrations were conducted by SCEUA-P, a global optimization technique module of the PEST, the package for parameter optimization and uncertainty analysis, to compare the yearly variations of soil parameters for infiltration methods of CAT. In addition, the streamflow characteristics were analyzed for three infiltration methods by applying three different scenarios, such as applying calibrated parameters for every years to simulate the model for each years, applying calibrated parameters for the entire period to simulate the model for entire period, and applying the average value of yearly calibrated parameters to simulate the model for entire period.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.33-33
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• 2018

농업이 기간산업이었던 고대사회에서 수리시설(水利施設)의 축조는 농업의 성패를 가늠하는 중요한 요소로 정치 경제 사회 전반에 걸쳐 큰 영향을 미치는 국가적인 대규모 사업이었다. 이에 따라 수리시설의 축조 시기와 배경, 축조 기술과 운영, 구조, 몽리(蒙利) 효과 및 보수(補修)와 수축(修築) 등에 대한 연구는 우리의 농경(農耕)문화사를 밝히는데 중요한 관건이 된다. 관개(灌漑) 수리시설의 축조와 정비는 수전(水田) 개발과 밀접한 연관이 있다. 제방(堤防)을 축조함으로써 주변의 수전 개발을 촉진하고, 가뭄과 홍수로부터 안전하게 전답을 유지할 수 있어 수확량을 높이게 된다. 농업생산력의 향상은 대내적 체제 정비는 물론 치열한 국가 간의 경쟁에서 우위를 점하는데 필요한 경제적 배경이 된다. 이처럼 고대수리시설은 개인과 집단 나아가 국가의 생존을 뒷받침하는 근본이었지만, 과연 우리는 그 역사성과 의미에 대해 제대로 평가를 했던 것일까? 또한, 고대수리시설의 관개 및 치수(治水) 능력은 구체적으로 어느 정도였으며 근대에 비하면 어느 정도였을까? 일부 수리시설에 대해 관개면적을 추정한 경우는 있으나, 그 예도 많지 않을뿐더러 시기적인 변천 양상을 제대로 반영하고 있지 못하는 것이 현실이다. 본 연구는 고대로부터 원형을 비교적 잘 간직하고 있는 수리시설 중 경북(慶北) 영천(永川)의 청제(菁堤)를 대상으로 고고학적 역사학적 입장에서 보다는 수문학적(水文學的) 농업수리학적(農業水利學的) 관점에서 저수량(貯水量) 및 관개(灌漑) 면적에 따른 농업생산력을 살펴보았다. 지형 및 GIS (Geographic Information System) 정보를 이용하여 저수지의 규모 및 관개 면적을 추정하였으며 수문학적 해석 모형(模型)인 CAT(Catchment hydrologic cycle Assessment Tool)(김현준 등, 2012)을 이용하여 저수량 및 관개 가능량을 분석하였다. CAT은 공간 단위별로 침투(浸透), 증발(蒸發), 지하수(地下水)흐름 등의 모의(模擬)가 가능하도록 개발된 모형이다. 특히, 농업용 저수지 및 홍수방재용(洪水防災用) 저류(貯留)시설 등의 저류량(貯留量) 및 방류(放流量)에 대한 모의가 가능하다(장철희 등, 2012). 고대수리시설의 저수량 및 관개 면적에 따른 농업생산력을 공학적 수문학적으로 해석하는 연구는 과거물 관리 및 생산력의 실태를 좀 더 자세히 파악할 수 있는 토대가 될 것이며, 역사학적 자료와의 비교 분석을 통해 우리나라 고대수리시설의 역사성 및 우수성을 찾을 수 있을 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.461-461
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• 2017

기후변화 적응 유역 물순환 개선 기술은 기후변화가 진행 중에 있거나 예상되는 지역에 대하여 강우-유출수를 지연, 저류, 침투시켜 지속가능한 물순환체계를 유지 회복하도록 하는 기술이라 할 수 있다. 본 연구에서는 기후변화에 따른 국내 유역의 특성 및 기후를 반영하기 수월한 물순환 개선 및 평가시스템을 국내 기술로 개발하였다. 개발된 유역 물순환 개선 및 평가시스템은 기존 국가연구개발사업을 통해 개발되고 사업화에 성공한 바 있는 유역 물순환 평가 모형인 CAT(Catchment hydrologic cycle Assessment Tool)을 수정 및 개선하여 기후변화에 따른 영향을 평가하고 적응 대책을 수립하기 위한 실무적인 소프트웨어이다. 침투트렌치, 식생침투트렌치, 습지, 저류지, 빗물탱크 등의 물순환개선시설에 대한 효과를 평가할 수 있도록 개별시설의 제원에 따른 물순환개선 효과를 정량적으로 평가할 수 있다. 본 연구의 대상유역으로는 팔당댐 상류의 경안천 유역을 선정하였다. 경안천 유역의 기후변화에 따른 물순환 개선 기술 적용을 위해서 기후변화 시나리오 자료는 기상청 수원 측후소의 1976~2099년 FGOALS-s2, HadGEM-ES, INM-CM4 RCP8.5 시나리오를 적용하였으며 분석기간은 2020s(2010~2039), 2050s(2040~2069), 2080s(2070~2099)로 구분하였다. Baseline은 수원 측후소 과거 30년 1971~2000년 자료를 이용하였고 각 시나리오별 수문성분 및 구조적 물순환 개선기술 적용에 따른 수문성분을 비교 분석하였다. 물순환 개선기술 시나리오 중 침투시설 시나리오는 도시 면적의 20%, 설계침투량은 일본 우수저류침투기술협회 기준인 단위면적($1m^2$)당 10mm 적용하였고, 빗물저장시설 시나리오의 저장시설의 용량은 수도법시행규칙(2011)의 빗물 이용시설기준(도시면적 ${\times}0.05$)을 적용하였다. 시나리오별 강우량은 HadGEM-ES가 증가폭이 크게 나타났고 INM-CM4는 2080s에서 감소 경향을 보였다. 증발산량은 거의 모든 시나리오에서 대부분 감소하였고, 개선기술 적용에 따라 크게 증가하거나 감소폭이 줄어들었다. 직접유출량 및 중간유출량은 기후변화 시나리오별 강우증가분에 따른 미세한 증가 양상을 보였고, 개선기술 적용에 따라 약간 증가하는 양상을 보였다. 지하수유출량의 경우 침투시설 적용으로 함양량이 크게 증가함에 따라 증가폭이 매우 크게 나타났다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.3
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• pp.419-432
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• 2019

Most of deep learning model training was proceeded by supervised learning, which is to train labeling data composed by inputs and corresponding outputs. Labeling data was directly generated manually, so labeling accuracy of data is relatively high. However, it requires heavy efforts in securing data because of cost and time. Additionally, the main goal of supervised learning is to improve detection performance for 'True Positive' data but not to reduce occurrence of 'False Positive' data. In this paper, the occurrence of unpredictable 'False Positive' appears by trained modes with labeling data and 'True Positive' data in monitoring of deep learning-based CCTV accident detection system, which is under operation at a tunnel monitoring center. Those types of 'False Positive' to 'fire' or 'person' objects were frequently taking place for lights of working vehicle, reflecting sunlight at tunnel entrance, long black feature which occurs to the part of lane or car, etc. To solve this problem, a deep learning model was developed by simultaneously training the 'False Positive' data generated in the field and the labeling data. As a result, in comparison with the model that was trained only by the existing labeling data, the re-inference performance with respect to the labeling data was improved. In addition, re-inference of the 'False Positive' data shows that the number of 'False Positive' for the persons were more reduced in case of training model including many 'False Positive' data. By training of the 'False Positive' data, the capability of field application of the deep learning model was improved automatically.

• Ecology and Resilient Infrastructure
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• v.10 no.4
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• pp.217-225
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• 2023

This study analyzed the effect of flood level reduction in the case of creating and operating offline storage for the Jangdong district, which can be used as a flood buffer space for the Geumgang River, through one-dimensional unsteady flow numerical simulation. In particular, the sensitivity analysis of changes in the height and width (length) of transverse weirs on flood level changes was performed to provide quantitative information necessary for flood control facility (embankment) design. As a result of analyzing the flood control effect of the offline storage based on the peak flood discharge and level, spatially, the flood control effect at the planned flood buffer space site and the downstream end was confirmed, and it was confirmed that the flood reduction effect at the downstream occurred the most. By design conditions of the transverse overflow weir, the greatest flood reduction effect was found under the condition that the overflow weir height based on the 50-year frequency flood level and the transverse overflow weir width (length) of 125 m were considered. The effect of delaying the time to reach the maximum flood due to the operation of the offline storage site was also presented based on unsteady flow modeling.

• Tunnel and Underground Space
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• v.31 no.5
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• pp.374-384
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• 2021

In this study, we propose a new approach for automatic fracture detection in CT scan images of rock specimens. This approach is built on top of two-stage object detection deep learning algorithm called Faster R-CNN with a major modification of using rotated bounding box. The use of rotated bounding box plays a key role in the future work to overcome several inherent difficulties of fracture segmentation relating to the heterogeneity of uninterested background (i.e., minerals) and the variation in size and shape of fracture. Comparing to the commonly used bounding box (i.e., axis-align bounding box), rotated bounding box shows a greater adaptability to fit with the elongated shape of fracture, such that minimizing the ratio of background within the bounding box. Besides, an additional benefit of rotated bounding box is that it can provide relative information on the orientation and length of fracture without the further segmentation and measurement step. To validate the applicability of the proposed approach, we train and test our approach with a number of CT image sets of fractured granite specimens with highly heterogeneous background and other rocks such as sandstone and shale. The result demonstrates that our approach can lead to the encouraging results on fracture detection with the mean average precision (mAP) up to 0.89 and also outperform the conventional approach in terms of background-to-object ratio within the bounding box.

• Aerospace Engineering and Technology
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• v.1 no.2
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• pp.149-154
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• 2002

The International Space Station (ISS) is being jointly developed by the following 16 international partners: The United States, Russia, Japan, Canada, Brazil, and the 11 member states of the European Space Agency. Assembly of ISS is a large-scale international program which commenced in November 1998, and is expected to conclude in 2006. Korea Aerospace Research Institute (KARI) is making effort to take part in the development of Payload Support & Interface Module (PSIM) for ISS. When success is achieved with ISS PSIM development project, Korea will have the rights to utilize external attached payload sites and research activities on ISS. Therefore preparation for the utilization of ISS EXPRESS pallet, JEM-EF, and Columbus-EPF need to be made. This paper shows the investigation results of the external attached payload sites for ISS and the application field of space and Earth science.

• Journal of Korea Port Economic Association
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• v.29 no.3
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• pp.135-158
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• 2013

There have been many conflicts in Pyeongtaek-Dangjin Port among central government, metropolitan council, and cities over the jurisdiction of reclaimed port area, an international passenger terminal construction and a bridge between the port and Dangjin area. This study found out two causes for the conflicts in terms of governance. First, the current governance structure of Pyeongtaek-Dangjin port has high levels of conflict and disputes among stakeholder. Second, there is no leading agency which is responsible for the future development of the port. It is very important to decrease the possibility of conflict and to establish leading agency. Measures to decrease the likelihood of conflict include establishment of conflict resolution mechanism, the clarification of the facts and applicable law, mutual exchanges between stakeholder. Measures to establish a leading agency include the introduction of a single governance, establishment of Pyeongtaek-Dangjin Port Authority, central-local combined governance, and empowering PA to do all port management.

• Journal of the Regional Association of Architectural Institute of Korea
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• v.20 no.6
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• pp.81-87
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• 2018

In this paper, in order to maximize the input process efficiency of the building energy simulation field, the authors developed the automatic extraction module of spatial information based BIM geometry information. Existing research or software extracts geometry information based on object information, but it can not be used in the field of energy simulation because it is inconsistent with the geometry information of the object constituting the thermal zone of the actual building model. Especially, IFC-based geometry information extraction module is needed to link with other architectural fields from the viewpoint of reuse of building information. The study method is as follows. (1) Grasp the category and attribute information to be extracted for energy simulation and Analyze the IFC structure based on spatial information (2) Design the algorithm for extracting and reprocessing information for energy simulation from IFC file (use programming language Phython) (3) Develop the module that generates a geometry information database based on spatial information using reprocessed information (4) Verify the accuracy of the development module. In this paper, the reprocessed information can be directly used for energy simulation and it can be widely used regardless of the kind of energy simulation software because it is provided in database format. Therefore, it is expected that the energy simulation process efficiency in actual practice can be maximized.