• Journal of Korea Multimedia Society
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• v.9 no.1
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• pp.33-40
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• 2006

This paper presents an efficient face recognition method using both first moment of image and eigenvector. First moment is a method for finding centroid of image, which is applied to exclude the needless backgrounds in the face recognitions by shitting to the centroid of face image. Eigenvector which are the basis images as face features, is extracted by principal component analysis(PCA). This is to improve the recognition performance by excluding the redundancy considering to second-order statistics of face image. The proposed methods has been applied to the problem for recognizing the 60 face images(15 persons *4 scenes) of 320*243 pixels. The 3 distances such as city-block, Euclidean, negative angle are used as measures when match the probe images to the nearest gallery images. In case of the 45 face images, the experimental results show that the recognition rate of the proposed methods is about 1.6 times and its the classification is about 5.6 times higher than conventional PCA without preprocessing. The city-block has been relatively achieved more an accurate classification than Euclidean or negative angle.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.434-434
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• 2011

가뭄은 홍수와는 달라서 정확한 발생시점, 지속시간, 피해반경 등을 정의하기 어렵다. 가뭄은 가뭄지수를 통해서 정의되며 정해진 지속시간에 따라서 가뭄의 특성을 평가하는 것이 일반적이다. 이러한 가뭄의 심도를 평가하기 위해서 많이 사용되는 지수로 표준강수지수(standardized precipitation index)가 있다. 본 연구에서는 6개월 지속시간에 SPI 지수를 대상으로 연구를 수행하였다. 최근 가뭄연구에서 시공간적 거동을 평가하는 연구가 중요한 연구주제로 자리 잡고 있다. 가뭄은 홍수와는 달리 공간적으로 전이되는 특성을 가지고 있어서 가뭄의 시작점과 영역반경을 평가하는 것은 가뭄을 예측하는데 있어서 기본적으로 선결되어야 한다. 그러나 상대적으로 가뭄의 시공간적 분석 연구는 많이 진행되지 않았다. 본 연구에서는 질량모멘트 개념을 도입하여 가뭄의 중심과 영역을 평가하는 기법을 개발하였다. 가뭄의 중심(centroid)은 1차모멘트를 통해서 추정되며 가뭄의 영역은 2차모멘트 즉, x방향의 공분산, y방향의 공분산, xy의 공분산을 통해서 타원(ellipse)형태로 수치적 접근이 가능하다. 다음 그림과 같이 가뭄의 중심을 1차모멘트로 추정하게 되면 +형태로 표시될 수 있으며 분산을 타원체로 표현하여 가뭄의 영역을 정의할 수 있다. 1, 2차모멘트를 추정하는데 있어서 Threshold 로 -2.0 이하의 값만을 이용하였으며 각 격자별 SPI 강도를 가중인자로 이용하였다. 그림과 같이 가뭄이 서해안에서 시작되어 시간에 따라 중동부로 퍼져나가는 것을 정량적으로 확인할 수 있다. 본 모형을 통해서 추출된 1, 2차 모멘트 정보를 활용하여 가뭄의 특성을 범주화하고 이를 기상학적 특성과 연결시키면 기상특성을 고려한 가뭄 예측모형으로의 개발도 가능할 것으로 판단된다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.33 no.5
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• pp.279-286
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• 2020

In this study, we investigate the accuracy of higher order derivatives in the moving least square (MLS) difference method. An interpolation function is constructed by employing a Taylor series expansion via MLS approximation. The function is then applied to the mixed variational theorem in which the displacement and stress resultants are treated as independent variables. The higher order derivatives are evaluated by solving simply supported beams and cantilevers. The results are compared with the analytical solutions in terms of the order of polynomials, support size of the weighting function, and number of nodes. The accuracy of the higher order derivatives improves with the employment of the mean value theorem, especially for very high-order derivatives (e.g., above fourth-order derivatives), which are important in a classical asymptotic analysis.

• Journal of the Korean Data and Information Science Society
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• v.28 no.5
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• pp.1021-1026
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• 2017

Mixture experiments are commonly encountered in many fields including food, chemical and pharmaceutical industries. In mixture experiments, measured response depends on the proportions of the components present in the mixture and not on the amount of the mixture. Statistical analysis of the data from mixture experiments has mainly focused on a continuous response variable. In the example of quantal response data in mixture experiments, however, the tumor incidence data have been analyzed in Chen et al. (1996) to study the effects of 3 dietary components on the expression of mammary gland tumor. In this paper, we compared the logistic regression models with linear predictors such as second degree Scheffe polynomial model, Becker model and Akay model in terms of classification accuracy.

• Journal of Korea Water Resources Association
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• v.36 no.6
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• pp.937-947
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• 2003

A shoreline, which has no the water depth, moves continuously as waves rise up and recede. Therefore, a special boundary treatment is required to track properly the movements of the shoreline in numerical modeling of the behavior of tsunamis or tides near a coastal zone. In this study, convective terms in nonlinear shallow-water equations are discretized explicitly by using a second-order upwind scheme to describe a moving shoreline more accurately. An oscillatory flow motion in a circular paraboloidal basin has been employed to validate the performance of the developed numerical model. Computed results of instantaneous free surface displacements are compared with those of analytical solutions and existing numerical solutions. The run-up heights in the vicinity of a circular island have also been calculated and obtained numerical results have been shown against available laboratory measurements. A good agreement has been observed.

• Korean Journal of Remote Sensing
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• v.26 no.2
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• pp.87-98
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• 2010

For generating accurate land cover map over the whole Korean Peninsula, post-mosaic classification method is desirable in large area where multiple image data sets are used. We try to derive an optimal mosaic method of multi-temporal Landsat ETM+ scenes for the land cover classification over the Korea Peninsula. Total 65 Landsat ETM+ scenes were acquired, which were taken in 2000 and 2001. To reduce radiometric difference between adjacent Landsat ETM+ scenes, we apply three relative radiometric correction methods (histogram matching, 1st-regression method referenced center image, and 1st-regression method at each Landsat ETM+ path). After the relative correction, we generated three mosaic images for three seasons of leaf-off, transplanting, leaf-on season. For comparison, three mosaic images were compared by the mean absolute difference and computer classification accuracy. The results show that the mosaic image using 1st-regression method at each path show the best correction results and highest classification accuracy. Additionally, the mosaic image acquired during leaf-on season show the higher radiance variance between adjacent images than other season.

• Progress in Medical Physics
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• v.10 no.2
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• pp.89-94
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• 1999

We developed a sterotactic radiosurgery system which is comprised of 1) collimators with small circular aperture, 2) an angiographic target localizer, 3) a target localizer used for alignment of planned target position with isocenter of treatment machine, and 4) a treatment planning system named LinaPel. In this study, we performed a series of treatment simulations to specify and analyze geometrical errors contained our in-house radiosurgery system. As results, 1) using Geometrical Phantom(Radionics,USA), the accuracy of target localization by LinaPel was determined as Avg. =(equation omitted) the accuracy of mechanical isocenter was found out to be 0.6 $\pm$ 0.2 mm, 3) the positional difference of target localization which determined by CT and angiography was 0.8 mm, and their size difference was 1.5 mm, and 4) the positional error during whole treatment was found out to be 0.9 $\pm$ 0.3 mm. With these results, we concluded that our in-house radiosurgery system can be used clinically. However, these range of accuracies need periodical quality assurance strongly.

• 한국신재생에너지학회:학술대회논문집
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• 2007.06a
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• pp.357-360
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• 2007

NREL Phase VI 12% 축소모델을 사용한 표준풍력터빈 풍동시험은 2006년에 1차 시험이 수행되었다. 1차 풍동시험은 복합재 블레이드를 사용하여 표준조건(설치각 3도)에 대해 수행되었으며 블레이드 표면상태에 따라 측정값이 영향을 받는 것을 파악하였다. 2007년 4월에 수행된 2차 풍동시험은 표면상태의 영향을 보다 정확히 파악하기 위해 알루미늄 블레이드를 사용하여 시험을 수행하였으며, 블레이드 제작 정밀도에 따른 영향을 파악하였다. 낮은 레이놀즈 수 영역(저속영역)에서는 블레이드 표면상태 따라 토크 값 다르게 나타나며, 블레이드 끝단 부근의 제작 정밀도는 최대 토크 이후의 영역에 영향을 미치는 것으로 나타났다. 0.1mm 이내의 정밀도로 제작된 모델의 경우 NREL 시험결과와 전체적인 형상이 유사하게 나타나며, 축소효과에 의한 영향으로 최대토크는 약 25% 정도 감소현상을 보이고 있다.

• The Journal of the Korea Contents Association
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• v.3 no.3
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• pp.103-109
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• 2003

Functional equations are useful in the expermental science because they play very important to formulate mathematical moods in general terms, through some not very restrictive equations, without postulating the forms of such functions. In this paper n solve one of a generalized quadratic functional equation (equation omitted) and prove the stability of this equation.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.379-382
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• 2009

최근 단백질 기능 예측을 위한 서열비교와 구조비교 기법들은 정확한 분류가 가능한 반면, 새로운 단백질 기능 분류를 함에 있어서 많은 복잡도가 따른다. 따라서 이 논문에서는 보다 빠른 단백질의 구조 분류 및 예측을 위하여 출현 시퀀스(emerging sequence)를 기반으로 하는 분류기법을 제안하였다. 이 기법에서는 먼저, 출현 시퀀스 마이닝 알고리즘을 이용하여 단백질 서열 데이터로부터 4 가지의 단백질 2 차 구조 출현 시퀀스를 발견하고, SVM을 이용하여 단백질의 출현 시퀀스 속성으로부터 단백질의 2 차 구조를 예측하였다.