• Clinics in Shoulder and Elbow
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• v.15 no.1
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• pp.52-64
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• 2012

Acute traumatic shoulder injuries related to motor vehicle accidents and industrial accident has shown a steep increase recently. In regard to the causal relationship and the previous illness, the rotator cuff tear and SLAP lesion are the mostly debated among shoulder injuries related to trauma. Both the possibility of spontaneous occurrence related to their degenerative etiology and the discordance between the extent of injury and the symptom of the rotator cuff tear and SLAP lesion, make it difficult and obscure to estimate the extent of involvement of accident. Therefore, the Insurance Committee of Korean Shoulder and Elbow Society performed a questionnaire for the shoulder specialists to investigate their criteria about deciding the treatment modalities and SLAP lesion and reviewed literatures regarding the causal relationship between the accident and the rotator cuff tear and SLAP lesion. The committee recommended the diagnostic criteria to judge contribution of the accident on traumatic shoulder injuries, and to offer a guideline for disabilities.

• Journal of Sericultural and Entomological Science
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• v.53 no.1
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• pp.19-28
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• 2015

Though mulberry fruit is known to a by-product that was produced from mulberry tree after harvesting leaves for silkworm rearing, as a yield and consumption of mulberry fruit was increased, it has been fixing to a new income crop. But, a stable production of mulberry was issued on damage by the weather disaster, so it is requires that agricultural disaster insurance import. So, in this study as a basic research for a importation of agricultural disaster insurance, the cultivation of mulberry for the production of mulberry fruits, the shape of tree, the number of a bearing fruit from each cultivar, the occurrence of mulberry fruit sclerotic disease, and a yield and the market price of mulberry fruits were investigated and that results obtained were as follows; The number of mulberry tree each 10a was abundant in Buan and Jeongeup region that cultivated a suitable cultivar on low cut shape, however, a large cultivated Gochang region was little. The number of a bearing fruit per 1m on the branch was highest in the variety of Cheongilppong at Gochang. Yield of mulberry fruits each 10a was Cheongilppong at Gochang, followed by Iksuppong at Sangju. Average sale price of the mulberry fruits was high in the order of Gwasang No. 2, Suwonppong, Iksuppong, and Cheongilppong.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1489-1503
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• 2022

Drone and sensor technologies are enabling digitalization of agricultural crop's growth information and accelerating the development of the precision agriculture. These technologies could be able to assess damage of crops when natural disaster occurs, and contribute to the scientification of the crop insurance assessment method, which is being conducted through field survey. This study was aimed to calculate lodged damage rate from the vegetation indices extracted by drone based RGB images for soybean. Support Vector Classifier (SVC) models were considered by adding vegetation indices to the Crop Surface Model (CSM) based lodged damage rate. Visible Atmospherically Resistant Index (VARI) and Green Red Vegetation Index (GRVI) based lodged damage rate classification were shown the highest accuracy score as 0.709 and 0.705 each. As a result of this study, it was confirmed that drone based RGB images can be used as a useful tool for estimating the rate of lodged damage. The result acquired from this study can be used to the satellite imagery like Sentinel-2 and RapidEye when the damages from the natural disasters occurred.

• Journal of the Korea Institute of Building Construction
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• v.20 no.1
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• pp.83-91
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• 2020

The recent bridge construction projects is demanded more sophisticated risk management measures and loss forecasts to brace for risk losses from an increase in the trend of bridge construction. This study aims to analyze the risk factors that caused the loss of material in actual bridge construction and to develop a quantified predictive loss model, based on the past record of insurance payment by major domestic insurance companies for bridge construction projects. For the development of quantitative bridge construction loss model, the dependent variable was selected as the loss ratio, i.e., the ratio of insurance payout divided by the total project cost, while the independent variable adopted 1) Technical factors: superstructure type, foundation type, construction method, and bridge length 2) Natural hazards: typhoon and flood 3) Project information: construction period and total project cost. Among the selected independent variables, superstructure type, construction method, and project period were shown to affect the ratio of bridge construction losses. The results of this study can provide government agencies, bridge construction design and construction and insurance companies with the quantitative damage prediction and risk assessment services, using risk indicators and loss prediction functions derived from the findings of this study and can be used as a guideline for future basic bridge risk assessment development research.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1187-1191
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• 2008

우리나라는 기상이변에 따른 게릴라성 집중호우의 빈도 및 강우량이 해가 거듭할수록 증가함에 따라 이로 인한 피해지역의 범위 및 피해액이 계속 증가하고 있는 실정이다. 이에 국가 및 각 연구기관들은 전국의 자연유역 및 도시유역에 대해 홍수범람의 예상지역 및 대피지도 작성 등을 통해 재해에 대한 사전 피해예방및 보험제도 등으로 그 피해를 경감하고자 각종 사업 및 연구를 활발히 진행하고 있다. 이러한 연구에 주로 이용되는 것이 지리정보시스템(GIS)으로서, 기존 수작업 과정 등을 통해 소요되는 많은 시간과 비용적 투자를 획기적으로 줄이면서도 보다 정밀도 있는 홍수범람지도를 작성하는데 크게 이바지 하고 있다. 하지만 강력하고 광범위적인 기능의 GIS 프로그램에 대한 이해 및 원시자료의 부족과 이 자료들을 이용한 실제 지형 구축 및 편집 등의 어려움으로 GIS를 이용한 홍수범람해석은 여전히 실무에서 널리 적용되지 못하고 있는 실정이다. 따라서, 본 연구에서는 실무적 적용성 및 범용성을 고려하여 자연유역이 대부분 포함되는 지방2급 고부천 유역을 대상으로 최근 토목 전반의 평면적 2D설계 개념에서 입체적 3D설계로 변화하는데 중요한 역할을 하고 있는 Autodesk사의 Civil 3D를 이용하여 수치지형도 및 측량데이터 등 다양한 원시자료로부터 실제 지형과 매우 유사한 3D 지형을 구축하고, Civil 3D의 3rd Party 프로그램인 Engineered Efficiency사의 EE HEC-RAS Tool을 이용하여 하천정비 기본계획 및 소하천정비 종합계획 등 실무에서 홍수위 계산에 가장 많이 이용되는 1차원 수치모형인 HEC-RAS와 전 후처리를 연계함으로서 빈도별 홍수위에 따른 홍수범람 수심 및 범람지역 등을 산정하였다. 본 연구는 실무 설계에서 가장 많이 이용하는 Autodesk 프로그램의 적용을 통해 기존 GIS개념 및 프로그램의 이해부족과 편집의 어려움을 해소하여 실무적 홍수범람해석에 시간적, 비용적 효율성을 높이고 기존 수작업의 오류를 보완함으로서 보다 정밀한 홍수범람해석 및 치수경제성 분석에 도움이 될 것으로 판단된다.

• Journal of the Korea Institute of Building Construction
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• v.16 no.4
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• pp.349-357
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• 2016

Recently, the quantity of risk in construction project has been inflated due to the fact that current construction projects have been large and complicated. Therefore, a study on the risk management methods is necessary that can predict and respond to the need in complicated modern construction projects. In this study, the objective is to analyze the cause of accident in actual construction sites and develop a risk assessment model based on insurance claims records. To reach the goal of this study, first, the frequency and severity of accidents are analyzed the causes of accidents based on the classification; progress rate, season, and total construction costs. Second, a risk assessment model is developed by utilizing a multiple regression analysis. The dependent variable is loss ratio of material damage and three categories; natural hazards, geographic information, and construction method & ability, are used as the independent variables. The model's adjusted R-square is 0.455. The contributions of this study will be used as a material for a quantitative risk analysis model development and review of the construction risk factors for future study.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1075-1084
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• 2023

Satellite-derived data is collected by observing the Earth and is used in various fields such as national defense, natural disasters, location-based services, infrastructure, environment, energy, marine, and insurance. This study aims to present the virtuous cycle structure of the satellite information data industry and the business ecosystem model of the industry. As a research method, cases were collected and categorized from the following areas: literature, online, application, and content. The results show that the ecosystem model of the satellite information data industry provides an approach to content services in public and commercial areas, and develops various algorithmic technologies to facilitate content production and services at the level of complex general-purpose technologies. Second, in terms of content typology, satellite information data can be subdivided into monitoring content, urban space monitoring content, and satellite information content. Third, the consumption value of satellite content could be subdivided into informational value, environmental, social and governance (ESG) value, educational value, and content value. In order to expand the global content market, Korea will need to focus on creating an ecosystem for the satellite information industry and discovering differentiated content. It will also need to increase the popularization and accessibility of data to the general public and promote the Korean K-Satellite Information Data Industry ecosystem through government support, policy efforts, and policies such as establishing legal systems, increasing investment, and training human resources.