• Journal of the Korean Data and Information Science Society
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• 제25권4호
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• pp.881-891
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• 2014

그래프모형(graphical model)은 확률 변수들간의 조건부 독립성(conditional independence)을 시각적인 네트워크형태로 표현할 수 있기 때문에, 정보학 (bioinformatics)이나 사회관계망 (social network) 등 수많은 변수들이 서로 연결되어 있는 복잡한 확률 시스템에 대한 직관적인 도구로 활용될 수 있다. 그래프 LASSO (graphical least absolute shrinkage and selection operator)는 고차원의 자료에 대한 가우스 그래프 모형 (Gaussian graphical model)의 추정에서 과대적합 (overfitting)을 방지하는데에 효과적인 것으로 알려진 방법이다. 본 논문에서는 그래프 LASSO 추정에서 매우 중요한 문제인 모형선택에 대하여 고려한다. 특히 여러가지 모형선택기준을 모의실험을 통해 비교하며 실제 금융 자료를 분석한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권8호
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• pp.3519-3533
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• 2020

Tuberculosis is a chronic and delayed infection which is easily experienced by young people. According to the statistics of the World Health Organization (WHO), there are nearly ten million fell ill with tuberculosis and a total of 1.5 million people died from tuberculosis in 2018 (including 251000 people with HIV). Tuberculosis is the largest single infectious pathogen that leads to death. In order to help doctors with tuberculosis diagnosis, we compare the tuberculosis classification abilities of six popular convolutional neural network (CNN) models in the same data set to find the best model. Before training, we optimize three parts of CNN to achieve better results. We employ sigmoid function to replace the step function as the activation function. What's more, we use binary cross entropy function as the cost function to replace traditional quadratic cost function. Finally, we choose stochastic gradient descent (SGD) as gradient descent algorithm. From the results of our experiments, we find that Densenet121 is most suitable for tuberculosis diagnosis and achieve a highest accuracy of 0.835. The optimization and expansion depend on the increase of data set and the improvements of Densenet121.

• Wind and Structures
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• 제27권3호
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• pp.199-211
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• 2018

This paper deals with wind fragility and risk analysis of high rise buildings subjected to stochastic wind load. Conventionally, such problems are dealt in full Monte Carlo Simulation framework, which requires extensive computational time. Thus, to make the procedure computationally efficient, application of metamodelling technique in fragility analysis is explored in the present study. Since, accuracy by the conventional Least Squares Method (LSM) based metamodelling is often challenged, an efficient Moving Least Squares Method based adaptive metamodelling technique is proposed for wind fragility analysis. In doing so, artificial time history of wind load is generated by three wind field models: i.e., a simple one based on alongwind component of wind speed; a more detailed one considering coherence and wind directionality effect, and a third one considering nonstationary effect of mean wind. The results show that the proposed approach is more accurate than the conventional LSM based metamodelling approach when compared to full simulation approach as reference. At the same time, the proposed approach drastically reduces computational time in comparison to the full simulation approach. The results by the three wind field models are compared. The importance of non-linear structural analysis in fragility evaluation has been also demonstrated.

• 대한토목학회논문집
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• 제10권3호
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• pp.39-47
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• 1990

본 논문에서는 시간이력곡선법에 의한 구조물의 동적해석이 가능하도록 한반도 지진 특성을 고려한 인공지진파 작성에 관한 연구를 시도하였다. 인공지진파 작성에 유용한 포락함수와 유효지속시간은 관측지진파의 분석 결과를 적용하고, 가속도는 지진구역도에서 평가된 최대 값으로 결정하였다. 특히 인공지진파는 지반조건과 진원지 거리에 따라 형태가 다르게 나타나는 특성을 고려했다. 추계학적 방법으로 작성한 인공지진파의 최대가속도는 0.2g 이고, 유효지속시간은 24초이다. 그리고 인공지진파의 신뢰성 검토는 지진파의 포락함수 비교와 설계응답스펙트럼에 도시된 지진파의 응답 결과로 확인되었다.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2005년도 제30회 춘계학술대회
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• pp.47-50
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• 2005

The aim of radiosurgery cures a patient to deliver the lower dose at the normal organ and the higher dose at the tumor. Therefore accuracy of the dose is required to gain effect of radiosurgery in surgical planning. In this paper, we developed the methods of target approximation for a fast treatment planning. Nominally, the stereotactic radiosurgery(SRS) using Linac and Gamma knife produces spherical dose distribution through circular collimators using multiple arcs and 201 holes on semi-spherical helmet by $^{60}Co$. We developed an automatic radiosurgical plan about spherical packing arrangement. To automatically plan the SRS, new planning methods based on cylinder and cube structure for target shaping was developed. This approach using heuristic and stochastic algorithm is a useful radiosurgical plan without restrictions in the various tumor shapes and the different modalities.

• 한국농공학회지
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• 제37권2호
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• pp.31-40
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• 1995

This study was conducted to get best fitting frequency distribution for the annual run- off and to simulate long series of annual flows by single-season first order Markov Model with comparison of statistical parameters which were derived from observed and synthetic flows at four watersheds in Seom Jin and Yeong San river systems. The results summarized through this study are as follows. 1. Hydrologic persistence of observed flows was acknowledged by the correlogram analysis. 2. A normal distribution of the annual runoff for the applied watersheds was confirmed as the best one among others by Kolmogorov-Smirnov test. 3. Statistical parameters were calculated from synthetic flows simulated by normal dis- tribution. In was confirmed that mean and standard deviation of simulated flows are much closer to those of observed data than except coefficient of skewness. 4. Hydrologic persistence between observed flows and synthetic flows simulated was also confirmed by the correlogram analysis. 5. It is to be desired that generation technique of synthetic flow in this study would be compared with other simulation techniques for the objective time series.

• 한국전산구조공학회논문집
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• 제13권1호
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• pp.129-138
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• 2000

새로운 공학재료의 하나인 복합재료는 뛰어난 역학적 성질로 인해 공학 전 분야에 걸쳐 사용이 점진적으로 증가하고 있다. 이 복합재료에 대한 개발뿐만 아니라 정적 혹은 동적 하중을 받는 복합 구조물의 연구는 많이 수행되어 왔고 대부분 가해지는 하중은 확정적인 것으로 가정되었다. 그러나 실제 많은 상황에 있어 구조물에 가해지는 하중의 성질은 불규칙적이다. 본 연구에서는 불규칙 진동을 받는 복합적층판의 비선형 해석을 유한요소법에 의거하여 해석하였으며 고전 판 이론과 전단변형을 고려한 1차, 3차 이론을 비교 분석하였다. 많은 복합재료들은 전단 변형에 있어 재료적인 비선형을 나타내므로 이를 본 연구에 포함하였다.

• Geomechanics and Engineering
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• 제10권6호
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• pp.709-726
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• 2016

Corrugated-core sandwich panels are prevalent for many applications in industries. The researches performed with the aim of optimization of such structures in the literature have considered a deterministic approach. However, it is believed that deterministic optimum points may lead to high-risk designs instead of optimum ones. In this paper, an effort has been made to provide a reliable and robust design of corrugated-core sandwich structures through stochastic and probabilistic multi-objective optimization approach. The optimization is performed using a coupling between genetic algorithm (GA), Monte Carlo simulation (MCS) and finite element method (FEM). To this aim, Prob. Design module in ANSYS is employed and using a coupling between optimization codes in MATLAB and ANSYS, a connection has been made between numerical results and optimization process. Results in both cases of deterministic and probabilistic multi-objective optimizations are illustrated and compared together to gain a better understanding of the best sandwich panel design by taking into account reliability and robustness. Comparison of results with a similar deterministic optimization study demonstrated better reliability and robustness of optimum point of this study.

• 물과 미래
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• 제23권1호
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• pp.99-107
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• 1990

수자원 개발계획 및 목공구조물의 합리적 설계를 위해서는 과거의 수문관측자료에 의거한 해석이 필요하며, 일반적인 수문현상은 무작위적인 인자가 포함되기 때문에 이를 고려한 통계적 기법, 즉 추계학적 해석기법이 필요하다고 하겠다. 본 연구에서는 남한강 상류의 동일유역 4개 지점(단양, 정선, 영월, 평창)의 월유량 자료를 일변량 AR(1), AR(2)모형과 다변량 AR(1), AR(2)모형에 적용하여 각 모형의 통계적 특성치를 분석하고, 월유량을 모의발생시켜, 일변량 모형과 다변량 모형을 비교하였다. 각각의 모형에 의한 모의발생 계열의 비교, 분석을 통하여 볼 때, 단일지점만을 고려하는 일변량 모형에 비해 지점간의 공선형성을 고려하는 다변량 모형이 동일유역의 월유량 해석에 있어서 더 적합함을 알 수 있었다.

• Journal of Information Processing Systems
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• 제8권4호
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• pp.653-668
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• 2012

In this study, an improved HMM based recognition model is proposed for online English and Korean handwritten characters. The pattern elements of the handwriting model are sub character strokes and ligatures. To deal with the problem of handwriting style variations, a modified Hierarchical Clustering approach is introduced to partition different writing styles into several classes. For each of the English letters and each primitive grapheme in Korean characters, one HMM that models the temporal and spatial variability of the handwriting is constructed based on each class. Then the HMMs of Korean graphemes are concatenated to form the Korean character models. The recognition of handwritten characters is implemented by a modified level building algorithm, which incorporates the Korean character combination rules within the efficient network search procedure. Due to the limitation of the HMM based method, a post-processing procedure that takes the global and structural features into account is proposed. Experiments showed that the proposed recognition system achieved a high writer independent recognition rate on unconstrained samples of both English and Korean characters. The comparison with other schemes of HMM-based recognition was also performed to evaluate the system.