• Water for future
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• v.25 no.3
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• pp.65-77
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• 1992

The purpose of this study is to analyse existing hysteresis models and to propose a new type of model. The existing hysteresis models are classified by three types: interpolation model, scaling model and domain model, of which the domain model is based on the theoretical approach. Models which need one branch of hysteresis loop for calibration are developed based on the independent domain concept, however, they are not successful to accurately simulate the real data and Rubicon Sandy Loam and Dune Sand. There is a possibility that a new model is based on the dependent domain model considering the pore blockage effect against air entry for homogeneous porous media(modelIII-1, Mualem, 1984). Concludingly, a new type of hysteresis model is proposed by simplifying ModelIII-1 using a proper assumption.

• Communications for Statistical Applications and Methods
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• v.18 no.4
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• pp.423-431
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• 2011

For procuring more sensitive information and estimating stratum target population proportion as well as an overall one form a sensitive population composed of several strata we suggest a two-stage stratified unrelated question model that uses stratified random sampling instead of simple random sampling in the two-stage unrelated question model by Kim et al. (1992) and extend it to the three-stage stratified unrelated question model. We also deal with the proportional and optimal allocation problems in each suggested model, compare the relative efficiency of the suggested two models, and show that the three-stage stratified unrelated question model is more efficient than the two-stage one in view of the variance.

• Journal of the Korean Data and Information Science Society
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• v.27 no.3
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• pp.629-638
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• 2016

Among data mining techniques, the association rule is one of the most used in the real fields because it clearly displays the relationship between two or more items in large databases by quantifying the relationship between the items. There are three primary quality measures for association rule; support, confidence, and lift. We evaluate association rules using these measures. The approach taken in the previous literatures as to estimation of association rule number has been one of a determination function method or a regression modeling approach. In this paper, we proposed a few of non-linear regression equations useful in estimating the number of rules and also evaluated the estimated association rules using the quality measures. Furthermore we assessed their usefulness as compared to conventional regression models using the values of regression coefficients, F statistics, adjusted coefficients of determination and variation inflation factor.

• The Korean Journal of Financial Management
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• v.20 no.1
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• pp.213-231
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• 2003

This paper uses the Efficient Method of Moments(EMM) of Gallant and Tauchen to estimate continuous-time stochastic volatility diffusion model for the Korean Composite Stock Price Index, sampled daily over $1995\sim2002$. The estimates display non-normality of stock index return, leptokurtic distribution, and stochastic volatility. Funker, this study suggests that two factor stochastic volatility model will be more desirable than one factor stochastic volatility model to estimate daily Korean stock return and also suggests that the stochastic volatility diffusions should allow for Poisson jumps of time-varying intensity.

• The Korean Journal of Applied Statistics
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• v.32 no.6
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• pp.899-908
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• 2019

Massive in-depth neural networks with numerous parameters are powerful machine learning methods, but they have overfitting problems due to the excessive flexibility of the models. Dropout is one methods to overcome the problem of oversized neural networks. It is also an effective method that randomly drops input and hidden nodes from the neural network during training. Every sample is fed to a thinned network from an exponential number of different networks. In this study, instead of feeding one sample for each thinned network, two or more samples are used in fitting for one thinned network known as a Hybrid Dropout. Simulation results using real data show that the new method improves the stability of estimates and reduces the minimum error for the verification data.

• KCID journal
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• v.2 no.1
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• pp.10-19
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• 1995

Non-point source pollution due to agricultural chemicals is one of the great concerns from the viewpoint of environmental protection. Scientists have been trying to develop best management practices in agriculture in order to decrease the oater pollution

• Journal of the Korean Society for Marine Environment & Energy
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• v.11 no.2
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• pp.86-91
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• 2008

Ships operating in littoral sea are likely to be subjected to accidental load such as stranding. Once she has damage on the hull structure, her ultimate strength will be reduced. This paper is to investigate the effect of the stranding damage on ultimate strength of ship structure by using a series of collapse tests. For the experiment, 720 mm $\times$720 mm in section and 900mm in length of five box-girder models with stiffeners were pre- pared. Of the five, one has no damage and faur have an diamond shaped damage which represents the shape of rock section in seabed. The damage size is different between models. Among the damaged models, the damages of 3 of them were made by cutting the plate and one by pressing to represent stranding damage. Experiments were carried out under pure bending load and the applied load and displacements were recorded. The ultimate strength is reduced as the damage size increases, as expected. The largest damaged model has the damage size of 30% of breadth and its ultimate strength is reduced by 21% than that of no damaged one. The pressed one has lower ultimate strength than cut one. This might be due to the fact that the plate around the pressed damage area effect negatively on the ultimate strength.

• The Transactions of the Korea Information Processing Society
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• v.4 no.4
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• pp.993-1003
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• 1997

In this paper an improvement is made on the function point moedl,one of sortware size dstimation model,for better fesibility with increased accuracy as my proposed moedl.For better feasibility seven function typcs are proposed in this model and technical complexity factors are used to assecss the diffculties of considering technical and distributed enviroment attributes.To assess the creditability of the proposed model,24-software develop-ment cases were cinsidered in the regression model with the actual require efforts as the total function points. As seen in the statistical results,the proposed model is at least as superior to the known function point models.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.391-395
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• 2006

본 연구에서는 새로운 일차원 하천 흐름모형인 SNS(Super- aNd Sub critical flow model)를 개발하였다. 이 모형은 연속방정식과 운동량방정식을 상류이송기법을 이용하여 해석하고, 생성항을 처리할 수 있는 특별한 기법을 사용하고 있다. SNS 모형은 보나 여수로 등에서 발생하는 불연속 흐름을 모두 해석할 수 있고, 우리나라와 같이 하상의 변화가 매우 심한 하천에서도 쉽게 적용할 수 있는 장점이 있다. 본 연구에서 개발한 SNS 모형은 우리나라 하천에서와 같이 하상의 변화가 매우 심하고, 보와 같은 구조물이 많이 설치되어 있는 하천에서 추가적인 작업없이 바로 적용할 수 있다. 또한 댐 여수로와 같이 매우 빠른 흐름, 도수가 발생하는 흐름에서도 추가적인 내부경계조건없이 다양한 조건의 흐름을 해석할 수 있는 장점이 있다. 부정류 상태의 다양한 흐름을 모의할 수 있고, 상하류 경계조건을 고정하여 부등류를 모의할 수도 있다. 본 연구에서 개발한 SNS 모형은 우리나라의 특별한 상황에 대한 고려가 미흡하였던 기존의 모형에 비해 여러 가지 장점을 지니고 있기 때문에 국내 하천의 다양한 흐름조건에 널리 사용될 수 있을 것으로 판단된다.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.461-462
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• 2011

하천에 침입한 식생이 흐름에 미치는 영향은 현장조사와 수리모형실험을 통해 다양한 연구가 진행되고 있지만 하천의 흐름이 식생에 미치는 영향이나 상호작용에 대해서는 아직 초보적인 수준에 머물러 있다. 국내의 하천에서 버드나무는 일열로 흐름방향에 평행하게 이입되어 활착되는 현상이 두드러지게 나타나고 있고 있으며, 이 연구는 실험실 개수로에 모형 나무를 일렬로 배열하여 식생이 완전히 잠긴 경우와 부분적으로 잠긴 경우에 대하여 수리모형실험을 수행하였다. 수리모형 실험결과 나무의 개수에 따라 수위의 변화가 나타남을 확인할 수 있으며, 빈 공간의 존재를 나타내는 나무의 간격에 따라서도 영향을 받음을 알 수 있었다. 이 연구는 수리모형실험을 통하여 식생의 개수, 잠긴 정도, 흐름 상태에 따른 유속과 수위 분포의 변화를 분석하고자 연구를 수행하였으며 이 결과는 식생저항모형 개발과 이차원 흐름모형의 검보정에 활용할 수 있다.