• 응용통계연구
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• 제27권6호
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• pp.1029-1038
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• 2014

본 연구에서는 베이지안 실험계획법에 대하여 논의하고 간단한 모의실험을 통하여 최적화된 베이지안 실험계획법이 어떠한 특징을 가지고 있는지 설명하였다. 실험을 설계하는 경우 연구자는 관심있는 주제가 모수추정인지 아니면 예측인지를 결정하고 사전확률과 우도함수를 기반으로 이에 맞는 사후확률을 찾아 효용함수와 결합하여 최적의 실험설계를 찾는 것이 베이지안 실험계획법의 기본 원리이다. 만일 사전적 정보가 존재하지 않는다면 무정보적 부적합 사전확률을 이용하여 실험을 설계할 수 있으며, 이는 비 베이지안적 접근방법과 일치하게 된다. 만일 모수나 예측값에 대한 사전적 정보가 존재하는 경우에는 베이지안 실험계획법이 유일한 해결 방법이다. 하지만 모형의 복잡도가 증가하게 되면, 최적해를 찾는 과정이 매우 복잡해져서 극복해야 하는 많은 문제점들이 존재하므로 향후 많은 연구가 필요한 분야이다.

• Communications for Statistical Applications and Methods
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• 제24권4호
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• pp.325-337
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• 2017

In this paper, we proposed a new long-term lifetime distribution with four parameters inserted in a risk competitive scenario with decreasing, increasing and unimodal hazard rate functions, namely the Weibull-Poisson long-term distribution. This new distribution arises from a scenario of competitive latent risk, in which the lifetime associated to the particular risk is not observable, and where only the minimum lifetime value among all risks is noticed in a long-term context. However, it can also be used in any other situation as long as it fits the data well. The Weibull-Poisson long-term distribution is presented as a particular case for the new exponential-Poisson long-term distribution and Weibull long-term distribution. The properties of the proposed distribution were discussed, including its probability density, survival and hazard functions and explicit algebraic formulas for its order statistics. Assuming censored data, we considered the maximum likelihood approach for parameter estimation. For different parameter settings, sample sizes, and censoring percentages various simulation studies were performed to study the mean square error of the maximum likelihood estimative, and compare the performance of the model proposed with the particular cases. The selection criteria Akaike information criterion, Bayesian information criterion, and likelihood ratio test were used for the model selection. The relevance of the approach was illustrated on two real datasets of where the new model was compared with its particular cases observing its potential and competitiveness.

• 대한전자공학회논문지SP
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• 제45권4호
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• pp.100-106
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• 2008

본 논문에서는 다양한 잡음 환경에서 음성의 통계적 모델에 기반한 음성 검출기의 성능향상을 위해 PSFM (Power Spectral Flatness Measure)을 이용하여 실시간으로 변별적 가중치 학습 (Discriminative Weight Training) 기반의 최적화된 우도비 테스트 (Likelihood Ratio Test, LRT)를 제안한다. 먼저, 기존의 통계모델기반의 음성 검출기를 분석하고, 이를 기반으로 MCE (Minimum Classification Error)방법을 도입하여 도출한 각 주파수 채널별 가중치를 PSFM 값에 기반하여 실시간 매 프레임마다 다른 가중치를 적용한 우도비 기반의 음성 검출 결정법을 제시한다. 제안된 알고리즘은 다양한 잡음 환경에서 기존에 제시된 음성 검출기와 비교하였으며, 우수한 성능을 보인다.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2005년도 추계 학술발표회 논문집
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• pp.31-36
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• 2005

An identification and characterization of susceptibility genes for common complex multifactorial diseases is a challengeable task, in which the effect of single genetic variation will be likely dependent on other genetic variations(gene-gene interaction) and environmental factors (gene-environment interaction). To address is issue, the multifactor dimensionality reduction (MDR) has been proposed and implemented by Ritchie et al. (2001), Moore et al. (2002), Hahn et al.(2003) and Ritchie et al. (2003). With MDR, multilocus genotypes effectively reduce the dimension of genotype predictors from n to one, which improves the identification of polymorphism combinations associated with disease risk. However, MDR cannot handle missing observations appropriately, in which missing observation is treated as an additional genotype category. This approach may suffer from a sparseness problem since when high-order interactions are considered, an additional missing category would make the contingency table cells more sparse. We propose a new MDR approach with minimum loss of sample sizes by considering missing data over all possible multifactor classes. We evaluate the proposed MDR by using the prediction errors and cross validation consistency.

• Communications for Statistical Applications and Methods
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• 제19권2호
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• pp.225-235
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• 2012

다양한 이유로 인하여 발생하는 영상 잡음은 영상의 화질을 악화시키므로 발생한 잡음을 제거, 감소하는 것이 영상처리 분야에서 매우 중요한 문제이다. 이러한 문제를 해결하는데 가장 근본적인 어려움은 영상 정보에서 제거해야할 잡음과 보존해야 할 신호를 구별하는 것이 쉽지 않다는 것이다. 단순평활법과 같은 잡음 제거과정은 영상을 개선하는데 사용되는 기초적이고 중요한 방법이지만 영상을 오염시키는 잡음의 크기를 고려하지 않는 결점이 있다. 즉, 이러한 방법을 사용하면 잡음을 감소시키는 효과와 함께 잡음이 적거나 없는 부분까지도 열화되어 영상이 흐릿해지는 단점을 보이게 된다. 본 연구에서는 입력 영상에서 신호와 잡음을 효과적으로 구별하여 잡음의 상대적인 크기에 따라 적응적으로 잡음을 제거할 수 있는 방법을 블록 방법을 이용하여 제안한다. 모의실험 결과, 본 연구에서 제안하는 알고리즘에 의해 적응적으로 잡음을 제거함으로써 전체적인 영상의 질이 개선되는 것을 확인하였다.

• 상하수도학회지
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• 제30권4호
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• pp.417-425
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• 2016

Desalination is a key technology to overcome water shortage problem in a near future. High energy consumption is an Achilles' heel in desalination technology. Osmotically driven membrane processes like forward osmosis(FO) was introduced to address this energy issue. Characterizing membrane properties such as water permeability(A), salt permeability(B), and the resistance to salt diffusion within the support layer($K_{ICP}$) are very important to predict the performance of scaled-up FO processes. Currently, most of researches reported that the water permeability of FO membrane was measured by reverse osmosis(RO) type test. Permeating direction of RO and FO are different and RO test needs hydraulic pressure so that several problems can be occurred(i.e. membrane deformation, compaction and effect of concentration polarization). This study focuses on measuring water permeability of FO membrane by FO type test results in various experimental conditions. A statistical approach was developed to evaluate the three FO membrane properties(A, B, and $K_{ICP}$) and it predicted test result by the internal and external concentration polarization model.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2001년도 춘계학술대회 논문집 유기절연재료 전자세라믹 방전플라즈마 연구회
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• pp.221-224
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• 2001

In connection with the monitoring of insulation degradation of large power apparatus in order to predict their unexpected service failures, a statistical treatment, such as phase resolved partial discharge analysis(PRPDA), has been established for the on-line monitoring system during the past decades. However, this method has shown some inconveniences to distinguish the nature of the PD source in power apparatus. In this regard, a novel approach based on the chaotic analysis(CAPD) is proposed describing the fundamental ideas, outcomes and different view points from conventional PRPDA. In order to make a model for the possible defects causing sudden failures in service, several types of specimen were prepared. And partial discharge signals, originated from those samples, were measured and analysed by means of PRPDA and CAPD respectively. Throughout this paper, it seems that the correlation between the consecutive PD pulses depending on the nature of PD could be investigated by CAPD. Therefore, it could be considered that the nature of PD source can be distinguished more distinctively when the PRPDA is combined with CAPD.

• 한국정보시스템학회지:정보시스템연구
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• 제16권4호
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• pp.177-194
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• 2007

This study is intended to identify critical success factors(CSF) of real-time enterprises(RTE) by using a policy leverage method of system dynamics. Since RTE is a new theoretical system that unifies existing theories or concepts in business management and information technology, it is not proper to employee a traditional statistical method. To obtain our research goal, causal maps of system dynamics are employed to abstract and arrange RTE information from previous studies. By using the commonness of policy leverage and critical success factors, CSFs for the RTE are deduced by substituting the leverage points on causal maps with necessary success factors to solve the problems. Since this is a new approach to identify success factors. it has some restrictions. Unlike the statistical methods, this approach explains only the directions of causalities and correlations. For the future research, a simulation tool of system dynamics can be employed to discover how each CSF is correlated to the successful implementation of RTE.

• Environmental Engineering Research
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• 제18권1호
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• pp.37-43
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• 2013

Water distribution pipes installed underground have potential risks of pipe failure and burst. After years of use, pipe walls tend to be corroded due to aggressive soil environments where they are located. The present study aims to assess the degree of external corrosion of a distribution pipe network. In situ data obtained through test pit excavation and direct sampling are carefully collated and assessed. A statistical approach is useful to predict severity of pipe corrosion at present and in future. First, criteria functions defined by discriminant function analysis are formulated to judge whether the pipes are seriously corroded. Data utilized in the analyses are those related to soil property, i.e., soil resistivity, pH, water content, and chloride ion. Secondly, corrosion factors that significantly affect pipe wall pitting (vertical) and spread (horizontal) on the pipe surface are identified with a view to quantifying a degree of the pipe corrosion. Finally, a most reliable model represented in the form of a multiple regression equation is developed for this purpose. From these analyses, it can be concluded that our proposed model is effective to predict the severity and rate of pipe corrosion utilizing selected factors that reflect the fuzzy soil environment.

• 마이크로전자및패키징학회지
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• 제28권4호
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• pp.19-23
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• 2021

본 논문은 경면반사특성을 갖는 솔더볼의 생산공정 관리와 품질확보를 목적으로 머신비전을 적용한 3차원형상을 결함검사방법으로서, 60미크론 이내의 마이크로 솔더볼을 대상으로 정밀한 위치제어장치가 필요없이 임의로 위치한 솔더볼의 반사영상을 취득 후 통계적으로 분석하여 3차원 형상의 결함유무를 검사하는 방법을 제안한다. 이를 위해 복수개의 LED를 링형태로 배열한 광원을 사용하여 트레이에 위치한 많은 수의 마이크로솔더볼을 동시에 촬영한 영상을 취득하고, 영상처리를 통해 반사되는 LED의 상대적 위치를 구한 후, 통계적 분석을 통하여 결함의 유무를 판단하는 방법을 제안하고 실험을 통해 그 효용성을 보인다.