• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.5
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• pp.537-544
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• 2018

In this study, a simple, efficient, user-based program called SCAR was developed for evaluating the sliding and collapse of artificial reefs due to hydrodynamic forces in ocean environments. SCAR was developed by applying Delphi code and a Graphical User Interface (GUI) based on the Morison formula for evaluating and analyzing the stability of artificial reefs. SCAR can be applied widely for design and stability evaluation of fishery structures (such as artificial reefs or other underwater structures) in undergraduate and graduate courses and by experts in the field.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.97-99
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• 2021

본 논문에서는 딥러닝 기반 특징점 필터링 방법을 이용한 원격 탐사 영상에 대한 영상 정합 (Image Registration) 고속화 방법을 제안한다. 기존의 특징 기반 영상 정합 방법의 복잡도는 특징 매칭 (Feature Matching) 단계에서 발생한다. 이 복잡도를 줄이기 위하여 본 논문에서는 특징 매칭이 영상의 인공구조물에서 검출된 특징점으로 매칭되는 것을 확인하여 특징점 검출기에서 검출된 특징점 중에서 인공구조물에서 검출된 특징점만 필터링하는 방법을 제안한다. 딥러닝 기반 특징점 필터링은 영상 정합을 위하여 필수적인 특징점을 잃지 않으면서 그 수를 줄이기 위하여 인공구조물의 경계와 인접한 특징점을 보존하고, 축소한 영상을 사용하며, 영상 분할(Image Segmentation) 방법의 결과에서 생기는 영상 패치 경계의 잡음을 제거하기 위하여 영상 패치를 중복하여 잘라 냄으로써 정합 속도와 정확도를 향상시킨다. 영상 정합 고속화 방법을 의 성능을 검증하기 위하여 아리랑 3 호 위성 원격 탐사 영상을 사용하여 기존 특징점 추출 방법과 속도와 정확도를 비교하였다. 딥러닝 기반 영상 정합 방법을 기준으로 하여 비교하였을 때 특징점의 수를 약 82% 감소시키면서 속도를 약 9.17 배 향상시켰지만 정확도가 0.985 에서 0.855 으로 저하되었다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.5
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• pp.623-628
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• 2007

The accurate peak response estimation of a seismically excited structure with frictional damping system(FDS) is very difficult since the structure with FDS shows nonlinear behavior dependent on the structural period, loading characteristics, and relative magnitude between the frictional force and the excitation load. Previous studies have estimated that by replacing a nonlinear system with an equivalent linear one or by employing the response spectrum obtained based on nonlinear time history and statistical analysis. In the case that an earthquake load is defined with probabilistic characteristics, the corresponding response of the structure with FDS has probabilistic distribution. In this study, nonlinear time history analyses were performed for the structure with FDS subjected to artificial earthquake loads generated using Kanai-Tajimi filter. An equation for the probability density function (PDF) of the displacement response is proposed by adapting the PDF of the normal distribution. Finally, coefficients of the proposed PDF are obtained by regression analysis of the statistical distribution of the time history responses. Finally the correlation between PDFs and statistical response distribution is presented.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2005.06a
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• pp.211-220
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• 2005

The concrete structure is being considered for the main engineered barrier of low and intermediate level radwaste disposal facility. Concrete of low permeability can minimize infiltration of water and effectively prevent release of nuclide to ecosystem. But if concrete degrades, structural stability of disposal structure will decrease while permeability increase, resulting in increased possibility of nuclide release due to water infiltration. Therefore disposal concrete structure degradation shall be minimized to maintain capacity of nuclide isolation. The typical causes of concrete structure degradation are sulfide attack, reinforcement corrosion due to chloride attack, leaching of calcium hydroxide, alkali-aggregate reaction and repeated freezing-thawing. The common cause of these degradation processes is infiltration of water or adverse chemicals into concrete. Based on the study of these degradation characteristics and mechanisms of concrete structure, the methodology of design and service life evaluation of concrete structure as an engineered barrier are reviewed to ensure its long-term durability.

• Journal of the Korea institute for structural maintenance and inspection
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• v.10 no.2
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• pp.153-165
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• 2006

A damage in a structure changes its dynamic characteristics such as natural frequencies, damping ratios, and the mode shapes. In this paper the effort has been spent in obtaining the characteristics of the reduction ratio in natural frequencies and the damage detection is performed using the reduction ratios. Most of the emphasis has been on using the artificial neural network to determine the location and the extent of the damage as well as the existence of the damage. The data for learning and verifying neural network were obtained from the analytical analysis. The data have no errors. Considering the real measurements the data including errors which are difference this study between other studies also were used for neural network. The position and extent of the damage can be detected using the neural network trained by reduction ratios of natural frequencies.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.11a
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• pp.173-175
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• 2000

도시기상의 원인으로는 지표면 상태의 변화, 인공구조물과 인공열 방출을 들 수 있으며 그 외 오염물질 또한 하나의 원인이다. 도시의 낮은 함수률의 지표면 증가는 증발산 영역을 감소시켜 결과적으로 잠열방출을 감소시키고 현열을 증가시킨다(Tapper, et. al., 1981). 또한 도시의 배수시설은 유입된 강수의 흐름을 시골보다 짧은 기간 머무르게 하여 도시에서 낮은 절대 습도를 가지게 한다. (중략)

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2002.10a
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• pp.170-172
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• 2002

해양의 수산자원개발을 위한 새로운 기술의 하나로 용승어장효과를 인공적으로 재현하여 어업생산성을 도모하기 위해 설치되는 인공용승구조물의 수리학적 특성을 검토하고 용승유량에 관한 기본적인 특성에 대해 연구하였다. 대상 인공용승구조물의 구조형식은 블록을 이용한 잠제 형식이며, 블록의 모양은 정육면체이다. 본 연구를 통해서 용승구조물의 용승유량 특성을 검토하고자 한다. (중략)

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2003.05a
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• pp.72-73
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• 2003

최근들어 인공어초의 경우 그것을 투입한 후 그 효과에 대한 문제가 많이 대두되고 있다. 인공어초는 연안어장에 인공적인 구조물을 설치하여 대상 수산물 보호, 육성하는 것을 목적으로 하는 어장 시설물이다. 인공어초를 투입한 후 그 효과를 조사하는 수단인 자망에 의한 어획실험, 장수조사, 표지방류 등이 있다. 하지만, 자망은 어초에 대한 어류의 직접적인 반응을 알기 어렵고 잠수조사는 시간의 제약성, 그리고 표지방류에 의한 방법은 재어획이 이루어져야 정보를 제공해줄 수 있다는 단점이 있다. (중략)

• The Journal of Engineering Geology
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• v.22 no.3
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• pp.263-274
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• 2012

We performed numerical modeling to estimate the groundwater level around a riverside area following the construction of an artificial structure. The groundwater level of the alluvial deposit responded more rapidly to the river water level than to the rainfall event itself, indicating that the groundwater and river water are directly interrelated through the riverbed. Furthermore, transient modeling showed raised groundwater levels at the southern part of Mt. Dok and the eastern part of Mt. Dummit in an area of low plains. The artificial structure caused a rise in groundwater level of up to approximately 6 m.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.33 no.5
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• pp.303-310
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• 2020

In this study, a method for selection of the location and number of monitoring sensors in a building structure using artificial neural networks is proposed. The acceleration-history values obtained from the installed accelerometers are defined as the input values, and the mass and stiffness values of each story in a building structure are defined as the output values. To select the installation location and number of accelerometers, several installation scenarios are assumed, artificial neural networks are obtained, and the prediction performance is compared. The installation location and number of sensors are selected based on the prediction accuracy obtained in this study. The proposed method is verified by applying it to 6- and 10-story structure examples.