• 한국지역지리학회:학술대회
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• 한국지역지리학회 2009년도 하계학술대회 발표집
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• pp.108-115
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• 2009

An increase in oil and gas plants caused by development of process industry have brought into the increase in use of flammable and toxic materials in the complex process under high temperature and pressure. There is always possibility of fire and explosion of dangerous chemicals, which exist as raw materials, intermediates, and finished goods whether used or stored in the industrial plants. Since there is the need of efforts on disaster damage reduction or mitigation process, we have been conducting a research to relate explosion model on the background of real 3D terrain model. By predicting the extent of damage caused by recent disasters, we will be able to improve efficiency of recovery and, sure, to take preventive measure and emergency counterplan in response to unprepared disaster. For disaster damage prediction, it is general to conduct quantitative risk assessment, using engineering model for environmentaldescription of the target area. There are different engineering models, according to type of disaster, to be used for industry disaster such as UVCE (Unconfined Vapor Cloud Explosion), BLEVE (Boiling Liquid Evaporation Vapor Explosion), Fireball and so on, among them.we estimate explosion damage through UVCE model which is used in the event of explosion of high frequency and severe damage. When flammable gas in a tank is released to the air, firing it brings about explosion, then we can assess the effect of explosion. As 3D terrain information data is utilized to predict and estimate the extent of damage for each human and material. 3D terrain data with synthetic environment (SEDRIS) gives us more accurate damage prediction for industrial disaster and this research will show appropriate prediction results.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.475-478
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• 2012

사이버 공간의 중요성이 커지고 그에 대한 의존성이 높아지면서 부수적으로 산업기밀유출, 사이버 테러, 개인정보유출의 문제 뿐 아니라 국가 간의 사이버 전쟁의 우려가 커지는 등 사이버 공간의 잠재적 위험성과 그에 따른 피해범위와 규모도 커지고 있는 실정이다. 그러므로 이에 대한 대비는 국가의 안보와 직결될 만큼 중요성이 커지고 있다. 따라서 정보보호체계의 확립이 시급하며 사이버 피해에 대한 체계적 이해가 필요하다. 이를 위하여 피해규모 및 피해액 추정 방법을 정리하고 이를 바탕으로 사이버 보호 대책을 수립해야 한다. 사이버보호의 경제적 효과는 사이버 보호 정책을 수립하는 기초적인 자료가 될 것이다. 본 연구에서는 사이버 피해의 체계적 이해를 바탕으로 사이버 보호의 경제적 효과에 대한 합리적인 추정방안을 연구하고자 한다.

• 한국생활과학회지
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• 제15권6호
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• pp.1083-1089
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• 2006

In this paper, the damage of hair and wave shape in process of the dyeing, bleaching, and permanent hair wave are simulated. The virgin hair that do not process the dyeing, bleaching, and permanent hair wave becomes stable in the scale type. On the other hand, the hair that deals with the dyeing, bleaching, and permanent hair wave is heavily damaged in the scale type. It is observed that the higher pH is decided, the higher the hair is damaged because the scale damage in the bleaching hair is more heavily damaged than the dyeing hair. In case of executing the permanent hair wave, the processing of the plaine rinsing becomes less in the scale damage of the hair and better in the wave form. Therefore, it is found that the processing of the plaine rinsing to improve the wave form and to prevent the hair damage is needed.

• 수산해양기술연구
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• 제53권1호
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• pp.19-40
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• 2017

A scientific and objective sound exposure criterion for underwater sound damage on fish has been required since there has been many disputes between an underwater sound maker and a fish damage receiver. The existing criteria are still incomplete scientifically owing to a degree of variability of underwater sounds, diversity of fish hearing sensitivity and damage types, etc. This study reviews existing studies on a hearing mechanism of fish species, manmade underwater sound characteristics and sound exposure assessment parameters, and recent sound exposure criteria. A governing equation for damage coverage estimation and damage coverage dependency on sound source level, ambient noise and transmission loss are also reviewed and interpreted based on sound exposure environments. The foreign and Korean (National Environmental Dispute Medication Commission) criteria are reviewed and compared based on scientific aspects. In addition, the deficit and limit of Korean criteria are presented. The objective of this study is to give a direction for related researches and legislation of sound exposure criteria on fish.

• 정보처리학회논문지C
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• 제15C권3호
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• pp.191-198
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• 2008

최근 우리 사회는 인터넷과 네트워크의 발전에 따라 자유롭게 정보를 공유하거나 습득하게 되었다. 그러나 인터넷의 발전으로 인해서 그에 대한 역기능도 나타나게 되었다. 대표적인 역기능이 바로 인터넷 공격이다. 인터넷 공격은 여러 분야에서 많은 피해를 주는데, 특히 경제적인 측면에서의 그 피해는 어마어마하다. 특히 기업의 경우는 이런 경제적인 피해에 민감하다. 그러나 국내에서는 이런 인터넷 공격으로 인한 경제적인 피해를 산정하는 모델에 관한 연구가 미비하다. 따라서 본 논문에서는 인터넷 공격으로 인한 경제적인 측면의 피해를 산출하는 하나의 모델을 제시하고 그 모델의 기준에 따라 가상적인 인터넷 공격의 경제적인 피해를 산정할 것이다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2005년도 춘계 학술발표회 논문집
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• pp.191-198
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• 2005

Slope failures during heavy rainfall have resulted in death of life and economic loss. In recent years, the research on slope damage assessment using Geographical Information System(GIS) has been actively carried out by researchers of several goverment organizations and schools. The researchers in Highway and Transportation Technology Institute (HTTI) of Korea Highway Corporation has developed the GIS database(DB), including highway, rainfalls, soil or rock geometry, types of damage, etc. and have been working on the damage assessment of highway slopes. The DB has been established and summarized in two different ways, such as highway routes and administrative districts. Grid of rainfall intensity generated by maximum rainfalls of each administrative district has been devloped. It shows good correlation of slope damage with heavy rainfalls. Most of damaged slopes were found in the amount of 100 mm to 300 mm rainfalls.

• Spatial Information Research
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• 제18권1호
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• pp.49-56
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• 2010

시가지 범람 문제를 고려할 경우 침수심의 정량적인 수치계산에 의한 재해 위험을 평가하는 것이 중요하다. 본 연구에서는 2002년 막대한 시가지 침수 피해를 경험한 바 있는 삼척시를 대상으로 범람 모의 계산에 의한 시가지 침수피해 평가를 수행하였다, 입력자료의 변환과정에서 생길 수 있는 에러를 줄이기 위해 시가지 조도계수, 표고, 건물의 점유율 등은 ArcGIS에서 바로 전산화하여 시가지 범람모형을 구축하였으며 계산된 침수심을 토대로 격자별로 피해액을 산정하였다 본 연구를 통하여 강우유출, 침수심 모의 계산, 피해액의 정량적 산정이라는 일연의 과정이 통합적으로 수행되어 향후 시가지 배수계획에 기여할 것으로 기대된다.

• Smart Structures and Systems
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• 제3권4호
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• pp.455-474
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• 2007

A flexibility-based distributed computing strategy (DCS) for structural health monitoring (SHM) has recently been proposed which is suitable for implementation on a network of densely distributed smart sensors. This approach uses a hierarchical strategy in which adjacent smart sensors are grouped together to form sensor communities. A flexibility-based damage detection method is employed to evaluate the condition of the local elements within the communities by utilizing only locally measured information. The damage detection results in these communities are then communicated with the surrounding communities and sent back to a central station. Structural health monitoring can be done without relying on central data acquisition and processing. The main purpose of this paper is to experimentally verify this flexibility-based DCS approach using wired sensors; such verification is essential prior to implementation on a smart sensor platform. The damage locating vector method that forms foundation of the DCS approach is briefly reviewed, followed by an overview of the DCS approach. This flexibility-based approach is then experimentally verified employing a 5.6 m long three-dimensional truss structure. To simulate damage in the structure, the original truss members are replaced by ones with a reduced cross section. Both single and multiple damage scenarios are studied. Experimental results show that the DCS approach can successfully detect the damage at local elements using only locally measured information.

• Structural Monitoring and Maintenance
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• 제2권4호
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• pp.399-418
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• 2015

Automated damage detection through Structural Health Monitoring (SHM) techniques has become an active area of research in the bridge engineering community but widespread implementation on in-service infrastructure still presents some challenges. In the meantime, visual inspection remains as the most common method for condition assessment even though collected information is highly subjective and certain types of damage can be overlooked by the inspector. In this article, a Frequency Response Functions-based model updating algorithm is evaluated using experimentally collected data from the University of Central Florida (UCF)-Benchmark Structure. A protocol for measurement selection and a regularization technique are presented in this work in order to provide the most well-conditioned model updating scenario for the target structure. The proposed technique is composed of two main stages. First, the initial finite element model (FEM) is calibrated through model updating so that it captures the dynamic signature of the UCF Benchmark Structure in its healthy condition. Second, based upon collected data from the damaged condition, the updating process is repeated on the baseline (healthy) FEM. The difference between the updated parameters from subsequent stages revealed both location and extent of damage in a "blind" scenario, without any previous information about type and location of damage.

• 한국측량학회지
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• 제37권5호
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• pp.351-357
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• 2019

UAV (Unmanned Aerial Vehicle) images can be exploited for rapid forest fire damage assessment by virtue of UAV systems' advantages. In 2019, catastrophic forest fire occurred in Goseong and Sokcho, Korea and burned 1,757 hectares of forests. We visited the town in Goseong where suffered the most severe damage and conducted UAV flights for forest fire damage assessment. In this study, economic and rapid damage assessment method for forest fire has been proposed using UAV systems equipped with only a RGB sensor. First, forest masking was performed using automatic elevation thresholding to extract forest area. Then ExG (Excess Green) vegetation index which can be calculated without near-infrared band was adopted to extract damaged forests. In addition, entropy filtering was applied to ExG for better differentiation between damaged and non-damaged forest. We could confirm that the proposed forest masking can screen out non-forest land covers such as bare soil, agriculture lands, and artificial objects. In addition, entropy filtering enhanced the ExG homogeneity difference between damaged and non-damaged forests. The automatically detected damaged forests of the proposed method showed high accuracy of 87%.