• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.12
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• pp.865-873
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• 2019

To improve the survivability of a missile, it needs to be lowered that the detection possibility by radars on the ground. The radar exposure of the target is given as a function of relative distance from the radar to the target and RCS (Radar Cross Section). The RCS of the missile is determined by the incidence angle of the target to electromagnetic radiation emitted from the radar. Under the assumption that the missile equips appropriate attitude control system, the attitude of the missile to minimize radar exposure at a high altitude is investigated in this paper. Two different types of performance cost are considered: the total sum of RCS and the total sum of SNR during the flight. Optimal solutions against multiple ground radars are found by using a SQP (Sequential Quadratic Programming)-based optimization technique.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.164-170
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• 2021

Research was conducted to analyze and improve the kinetic performance of offshore wind power generators. The shape used in this study was taken with reference to the previous paper, and the size of the repair area was designed at 80%, 60%, 40%, and 20%, respectively, and the exercise performance was confirmed accordingly. The sea state was calculated in Sea State 4, 5, and 6. In the calculation process, the calculation was performed using commercial computational hydrodynamics (ANSYS) and AQUA. In the case of overall exercise performance, it was confirmed that the smaller the size of the repair area, the smaller the exercise such as heave, roll, and pitch. However, it was confirmed that in the case of a shape in which the size of the repair area was rapidly reduced, there may be cases in which the restoration performance was not satisfied when the restoration calculation was performed. In addition, it was confirmed that there may be an appropriate repair surface depending on the sea condition.

• Korean Journal of Environment and Ecology
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• v.12 no.2
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• pp.147-155
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• 1998

This study was conducted from March to August 1997 to decide the size of plant community in fragmentary habitats. The thirty one sites and one hundred and eighteen plots were plotted in the areas including Yangpyong, Yoju, Pyongtaek and Ansong in Kyonggi-do, Chomchon and Sangju in Kyongsangbuk-do, Nonsan in Chungchongnam-do and Iksan in Chollapuk-do. The area and number of woody species by correlation analysis were recorded as the highest value as 0.716. In order to apply the theory of island biogeography to the fragmented habitats in Korea, the four variables were calculated by regression model. The four variables such as number of woody species, number of woody individuals, number of herbaceous species and number of herbaceous individuals were recorded as significant with area at the level of 0.05 and R square was 0.71. The one function was selected between number of species and number of individuals from the canonical correlation analysis, and the function square was 0.8876. Both canonical function and squared canonical correlation showed significant at the level of 0.01. The number of species and individuals were not increased from the condition that was the size of plant community of 400$m^2$, 30 for number of species and 4,000 for number of individuals. This results of this study can be widely used as a basic information for the conservation management, especially the fragmented ecosystems or the biotop creation in the landscaping.

• Analytical Science and Technology
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• v.12 no.5
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• pp.415-420
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• 1999

We estimated the quantity of the scum remaining on the Black Matrix (BM) surface of color filter. To do this, histogram was analyzed which was obtained from AFM image of the BM surface. We divided the histogram to two Gaussian functions of the free BM surface (1) and the scum (2), and calculated the areas ($a_1$, $a_2$) of both the Gaussian functions. We quantified the residue as the ratio of the area ($a_2/(a_1+a_2)$). As a result of the Gaussian functions of the free BM surface, it was revealed that another kind of residue remained on the BM surface. It was difficult to quantify it. but it could relatively be estimated from the average height and the standard deviation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.19 no.3
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• pp.229-236
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• 2001

One of the basic tasks in hydrological analysis is to delineate drainage basins and channel networks. Characteristics of channel networks and drainage basin parameters have been used widely in hydrologic calculation and modeling. DEMs(Digital Elevation Models) are generally used to automatically map the channel networks and to delineate drainage basins. This paper presents an effort to analyze basin characteristics using various DEMs. The quantitative analysis of channel networks begins with Horton's method of classifying stream according to Horton orders in hydro-geomorphy. HGSIS(Hydro-Geo-Spatial Information System) is possible to extract parameters. Usually, hydrologists. surveyors and GSIS researchers have some difficulties in accessing satellite images and in extracting DEMs from them. Therefore, the extracted DEMs from contours of digital map is widely used to have the basic works of hydrological analysis. This study presents proper DEMs to calculate Horton's orders, width function, drainage area, main channel length, total channel length, basin elevation and basin slope at digital map of 1:25,000 scale.

• Journal of the Korean Society for Nondestructive Testing
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• v.28 no.1
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• pp.1-8
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• 2008

The object of this study is to develop the examination technique for measuring the O-ring deformation behavior under the pressure and the squeezed condition simultaneously. The O-ring deformation measuring device in which two grooves were dug to insert the two O-rings was manufactured to be not deformed under the high pressure and the 1 mm and 0.1 mm gap were designed to measure the extrusion lengths under the internal pressure. The beam hardening correction, the histogram analysis and the dead zone correction were executed to exactly measure the shape of O-ring deformation and the lengths of the O-ring deformation were measured by the LSF and the ERF. The computed tomography applied the pressure of 0, 1.378, 4.902, 9.804, 15.692 MPa at 22.3% squeezed condition and the expanded diameter, contact length and extrusion depth were measured in each pressure. The shape of O-ring deformation was evaluated by the FEM to verify the results of measuring by the computed tomography and the area of O-ring was mutually compared to the area measured by the computed tomography.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.12 no.4_1
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• pp.97-106
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• 1992

Total length of stream networks and main stream length vary with topographic map scales, and the stream length of drainage basin on topographic map can be viewed as a fractal. Total length of stream network and main stream length are represented as only stream area ratio($R_a$) based on Horton's laws, thereafter the fractal dimensions of stream network and main stream length are derived as a simple function of stream length($R_L$) and stream area ratios($R_a$) respectively. The derived equations of fractal dimension are applied to Sansung basin in Kum River and compared with the equations already existed. The stream network appeared as space filling with fractal dimension near 2 as map scale increases, while main stream length shows near 1. The results of this study are expected to be helpful in the quantitative analysis of drainage network composition with map scale.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.7 no.2
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• pp.53-61
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• 1989

In this paper the quantitative classification parameters of terrain which can be practicable to the interpolation of digital terrain model forming a regular grid pattern have been suggested and objective terrain classification have been established by making a cluster analysis using these parameters. Also, interpolation suitable to the classification of terrain has been used by making a descriminant alaysis from description parameters of terrains. The terrain classification in this paper was dependent upon two parameters of the ratio horizontal area to inclined area and the magnitude of harmonic vectors. And the studying area was seperated to three groups of terrains by these two parameters. Three groups of terrains could be classified into the discriminant functions. By determining the ratio of area and harmonic vector magnitude in any terrains using the above discriminant function, it was possible to discriminate the terrains to apply the interpolation practicable to the terrain characteristics.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.453-453
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• 2018

2017년 12월 기준 우리나라에 등록된 자동차는 약 2,200만 이상으로, 그 증가율은 매년 증가하는 추세이다. 이러한 최근 차량대수 및 고자산인 외산차 보유율 증가는 자연재난에서 노출과 관련한 위험도를 증가시키는 주요인이 되며, 홍수발생 시 상당한 규모의 경제적 피해를 야기한다. 현재 국가연구개발사업으로 진행 중인 행정안전부(2017) 연구는 위험지역 내 차량의 공간적 분포와 차량유형별 침수심에 따른 취약성을 고려하여 어떠한 홍수사상으로부터 예상되는 차량 피해액을 추정하는 방법을 제시한 바 있다. 여기서는 어떠한 집계구 내에서 동일한 침수심 구간을 가지는 면(polygon)을 분석단위로 하고 있는 데, 이를 편의성 차원에서 벡터자료에 기반 한 연산과정을 수행할 경우 정의된 침수구역도(재해정보)의 고유 정보가 훼손되거나, 세분화된 침수심 구간에 따른 손상률 관계를 사용할 수 없는 문제점이 있다. 이에 본 연구에서는 격자 기반의 침수구역도와 인벤토리 지도로부터 Raster GIS 공간연산을 활용한 차량피해 산정절차를 제시하였고, 이를 신천수계 하천기본계획(경기도, 2011)에서 계획된 치수사업에 적용하여 홍수빈도별 사업시행 전후 상황에 적용하였다. 이 과정에서 침수구역도는 인벤토리 상의 집계구 면적을 고려하여 $5m{\times}5m$ 크기로 제작하였고, 동일한 격자크기로 변환된 인벤토리는 변환 전후 면적을 기준으로 할 때 거의 오차가 없는 것으로 확인되었다. 그리고 Raster 공간연산으로부터 침수편입률을 결정하는 과정에서 집계구 넘버 및 침수심 정보를 확인하기 위한 자료별 전처리 과정을 제시하였고, 여기서 집계구 넘버는 인벤토리 정보와 침수심 정보는 손상함수와 연계된다. 본 연구에서 제시한 결과는 향후 실무에서 직접 적용하는 데 활용하기 위하여 방법론과 함께 가이드라인 문서로 정리할 계획이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.333-333
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• 2021

최근 전 지구적인 기후변화 및 온난화의 영향으로 태풍 및 집중호우가 빈번하게 일어나고 있으며, 이로 인한 한천범람 등 홍수재해로 인명 및 재산 피해가 크게 증가하고 있다. 우리나라에서도 태풍 및 집중호우로 인한 호수피해는 매년 발생하고 있으며, 피해 빈도와 강도가 증가하고 있는 실정이다. 이러한 현실을 고려하였을 때에 하천 인근 주민의 생명과 재산을 보호하기 위하여 실시간으로 홍수위 예측을 수행하는 것은 매우 중요하다 할 수 있다. 국내에서 수위예측을 위하여 대표적으로 저류함수모형(Storage Function Model, SFM)을 채택하고 있지만, 유역면적이 작아 홍수 도달시간이 짧은 중소하천에서는 충분한 선행시간과 정확도를 확보하기 어려운 문제점이 있다. 이는 유역면적이 작은 중소하천에서는 유역 및 기상 특성과 관련된 여러 인자 사이의 비선형성이 대하천 유역에 비해 커지는 문제점이 있기 때문이다. 본 연구에서는 위와같은 문제를 해결할 수 있도록, 수문자료와 딥러닝 기법을 적용하여 실시간으로 홍수위를 예측할 수 있는 방법론을 제시하였다. 지난 태풍 및 집중호우로 인하여 급격한 수위상승이 있던 낙동강 지류하천에 대하여 LSTM(Long-Short Term Memory) 모형 기반 실시간 수위예측 모형을 개발하였으며, 선행시간 30~180분 별로 홍수위를 예측하고 관측 수위와 비교함으로써 모형의 적용성을 검증하였다. 선행시간 180분 기준으로 영강 유역 수위예측 결과와 실제 관측치의 평균제곱근 오차는 0.29m, 상관계수는 0.92로 나타났으며, 밀양강 유역의 경우 각각 0.30m, 0.94로 나타났다. 본 연구에서 제시된 딥러닝 기반모형에 10분 단위 실시간 수문자료가 입력된다면, 다음 관측자료가 입력되기 전 홍수예측 결과가 산출되므로 실질적인 홍수예경보체계에 유용하게 사용될 수 있을 것이라 보인다. 모형에 적용할 수 있는 더욱 다양한 수문자료와 매개변수 조정을 통하여 예측결과에 대한 신뢰성을 더욱 높일 수 있다면, 기존의 저류함수모형과 연계하여 홍수대응 능력을 향상시키는데 도움이 될 수 있다.