• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.247-249
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• 2004

본 논문에서는 aspect model을 이용한 차원 축소 기반의 유전자 발현 데이터 분석을 제시한다. Aspect model은 은닉변수모델의 하나로서, 이를 이용하여 유전자 발현 데이터에 대한 확률적 학습 과정을 통해 특징적 발현 패턴을 추출할 수 있다. 또한 모델로부터 커널함수를 유도함으로써 발현패턴에 기반한 유전자간의 유사도를 자연스럽게 측정할 수 있다. 모델에 의해 정의되는 은닉공간 차원 수는 데이터 permutation 기반의 검증을 통해 결정한다. 효모 (yeast)의 세포 주기(cell cycle) 관련 발현데이터네 대한 실험에서, 주기별 특징 발현 패턴을 추출할 수 있었다. 또한 aspect model로부터 유도된 커널 기반의 유사도 척도를 이용함으로써, 동일 기능 또는 동일 complex 범주에 속하는 유전자 쌍 예측에서 기본적인 상관계수에 의한 방법에 비해 보다 향상된 성능을 얻을 수 있었다.

• The KIPS Transactions:PartD
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• v.13D no.1 s.104
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• pp.111-116
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• 2006

Given a state, it is essential to for the finite state model analysis (such as model checking) to decide whether or not the state is reachable. W a site of the model is small, the whole state space is to be explored exhaustively. However, it is very difficult or even impossible if a size of the model is large. In this case, the model can be reduced into a smaller one via abstraction which does not allow e false positive error. this paper, we devise such an abstraction and apply it to the Nemorize game solving. As a result, unsolved game due to the state explosion problem is solved with the proposed abstraction.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.10
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• pp.920-927
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• 2015

In this paper, numerical results of sectional analysis and stress recovery were compared with the results of VABS through the blade analysis library. The results of recovery analysis for one-dimensional model including the stiffness matrix is compared with the calculated three-dimensional stress results of three-dimensionial FEM based on the principle of virtual work. We discuss the configuration of the blade analysis library and compare verifications of numerical analysis results of VABS. Blade analysis library through dimensional reduction and stress recovery is intended to be utilized in conjunction with pre- and post-processing of the analysis program of the composite blade, high-altitude uav's wing, wind blades and tilt rotor blade.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.193-200
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• 2021

In this study, an analysis technique using static condensation is proposed for an efficient local nonlinear static analysis. The static condensation method is a model reduction method based on the degrees of freedom, and the analysis model is divided into a target part and a condensed part to be omitted. In this study, the nonlinear and linear parts were designated to the target and the omitted parts, respectively, and both the stiffness matrix and load vector corresponding to the linear part were condensed into the nonlinear part. After model condensation, the reduced model comprising the stiffness matrix and the load vector for the nonlinear part is constructed, and only this reduced model was updated through the Newton-Raphson iteration for an efficient nonlinear analysis. Finally, the efficiency and reliability of the proposed analysis technique were presented by applying it to various numerical examples.

• Journal of the Korean earth science society
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• v.40 no.3
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• pp.259-271
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• 2019

A statistical downscaling method was adopted in order to establish the high-resolution wave prediction system in the East Sea coastal area. This system used forecast data from the Global Wave Watch (GWW) model, and the East Sea and Busan Coastal Wave Watch (CWW) model operated by the Korea Meteorological Administration (KMA). We used the CWW forecast data until three days and the GWW forecast data from three to seven days to implement the statistical downscaling method (inverse distance weight interpolation and conditional merge). The two-dimensional and station wave heights as well as sea surface wind speed from the high-resolution coastal prediction system were verified with statistical analysis, using an initial analysis field and oceanic observation with buoys carried out by the KMA and the Korea Hydrographic and Oceanographic Agency (KHOA). Similar to the predictive performance of the GWW and the CWW data, the system has a high predictive performance at the initial stages that decreased gradually with forecast time. As a result, during the entire prediction period, the correlation coefficient and root mean square error of the predicted wave heights improved from 0.46 and 0.34 m to 0.6 and 0.28 m before and after applying the statistical downscaling method.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.13 no.2
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• pp.131-140
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• 2015

This research studied a scaling analysis for the selection of proper heat generation at tube for 1/4-scale storage vaults. First of all, the temperature field and velocity distribution of an original scale storage vault were analyzed and then numerical analysis of a 1/4-scale storage vault was performed to compare each model. The proper heat generation for a 1/4-scale storage vault, at which the temperature and velocity field of a 1/4-scale storage vault showed the best agreement with that of the original storage vault, was evaluated with proposed dimensionless parameters. The behavior of temperature and velocity of fluid in the 1/4-scale case were most similar to those of the original scale, using a heat flux 1.3 times higher than that seen in the original scale, which was approximately 190 W.

• Computational Structural Engineering
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• v.30 no.1
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• pp.29-35
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• 2017

• Proceedings of the Korean Society of Rheology Conference
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• 2002.11a
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• pp.15-18
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• 2002

• Bulletin of the Korean Space Science Society
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• 2007.10a
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• pp.96.2-96.2
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• 2007

• Computational Structural Engineering
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• v.25 no.4
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• pp.21-27
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• 2012