• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.393-405
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• 2020

Various geotechnical information is required to evaluate the stability of the ground and a foundation once liquefaction occurs due to earthquakes, such as the soil strength and groundwater level. The results of the Standard Penetration Test (SPT) conducted in Korea are registered in the National Geotechnical Information Portal System. If geotechnical information for a non-drilled area is needed, geostatistics can be applied. This paper is about the feasibility of obtaining ground information by the Empirical Bayesian Kriging (EBK) method and the Inverse Distance Weighting Method (IDWM). Esri's ArcGIS Pro program was used to estimate these techniques. The soil strength parameter of the drilling area and the level of groundwater obtained from the standard penetration test were cross-validated with the results of the analysis technique. In addition, Multichannel Analysis of Surface Waves (MASW) was conducted to verify the techniques used in the analysis. The Buk-gu area of Pohang was divided into 1.0 km×1.0 km and 110 zones. The cross-validation for the SPT N value and groundwater level through EBK and IDWM showed that both techniques were suitable. MASW presented an approximate section area, making it difficult to clearly grasp the distribution pattern and groundwater level of the SPT N value.

• Journal of Korean Society of Transportation
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• v.15 no.4
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• pp.73-90
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• 1997

The warrants to install traffic signals used in U.S.A. are well specified comparing to those in other countries. Among the eleven warrants of the U.S.A., the Warrant 9, 10, and 11 are especially fit in practice. The warrant relaxed to traffic volumes used presently in Korea have been adopted from the U.S.A. Those may not have been reliable in the traffic situation of Korea. The rules required passing through intersections are not kept well at intersections controlled without signals. The purposes of this study are to test and evaluate the reliability of the Warrant 9 and 11 adopted form U.S.A.n Korean traffic situation and to propose new traffic signal warrants related to traffic volumes fitted in here. The traffic volume warrants are proposed considering the situation of rules not being kept well(current situation) and that of vice versa(ideal situation). The results of this study are following; 1) The total volumes warranted to traffic signals are 1600vph, 1700vph, and 1800vph at 4-legs intersection having 1 by 1 lane, 1 by 2 lanes, and 2 by 2 lanes respectively. The total volumes warranted are 1400vph and 1600vph at 3-legs intersection haying 1 by 2 1anes, and 2 by 2 lanes respectively. 2) Another traffic warrants proposed are transformed from the currant warrants 9 and 11. These warrants are composed of the total volumes and the ratio of the volume of the minor street to that of the major street.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.12 no.3
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• pp.397-406
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• 1999

A new solution procedure for approximate reanalysis, using the staged hybrid methods with substructuring, is proposed in this study. Displacements are calculated with two step mixed procedures. First step is to introduce the conservative approximation, which is a hybrid form of the linear and reciprocal approximation, as local approximation. In the next step, it is combined with the global approximation by reduced basis approach. Stresses are evaluated from the displacements by matrix transformation. The quality of reanalyzed quantities can be greatly improved through these staged hybrid approximations, specially for large changes in the design. Overall procedures are based on substructuring scheme. Several numerical examples illustrate the validity and effectiveness of the proposed methods.

• Journal of Korea Technology Innovation Society
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• v.9 no.2
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• pp.304-324
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• 2006

There were considerable researches by finance people trying to find out business ratios as predictors of corporate bankruptcy. However, such financial ratios usually lack theoretical justification to predict bankruptcy for technology-oriented small sized venture firms. This study proposes a bankruptcy predictive discriminant model using technology evaluation data instead of financial data, evaluates the model fit by the correct classification rate, cross-validation method and M-P-P method. The results indicate that linear discriminant model was found to be more appropriate model than the logistic discriminant model and 69% of original grouped data were correctly classified while 67% of future data were expected to be classified correctly.

• Strategy21
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• s.38
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• pp.321-347
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• 2015

중국은 지난 10년간 아시아에서의 영향력 확대를 위한 팽창정책의 일환으로 인도양 주변 국가들과의 관계발전을 위해 국가 차원의 노력을 기울여왔다. '진주목걸이 전략(String of Pearls Strategy')으로 묘사되는 중국의 인도양 정책의 개괄적 성격에 관한 연구는 여러 학자들에 의해서 시도되어 왔으나, 인도양 주변 개별국과들과의 협력과 개입의 정도(The variation in the extent of China's Engagement and Collaboration with States along Its Indian Ocean sea lines of communication)에 영향을 미치는 구조적 요인에 대한 연구는 부재해 왔다. 이 논문에서는 인도양 주변 국가들에 대한 개입 및 관계발전을 위한 중국의 인도양정책을 국제정치학의 이론 중 '방어적 신현실주의(Defensive Neorealism)'의 이론적 틀에 근거한 '연성적 힘의 균형(Soft Balancing)'의 관점에서 고찰해 보고, 중국의 인도양 정책은 이 지역에서 중국의 팽창에 대한 미국의 견제 및 반발(Backlash)을 억제하고 중국의 에너지 안보를 보장하기 위한 전략적 정책의 결과임을 조명해 본다. 더불어 중국의 인도양 진출에 따른 미국의 정책대안을 예측해 본다. 본 연구의 목적을 위해 이론적 틀에 기반한 가설을 설정하고 인도양 주변의 11개 국가에 대한 교차 사례연구(Cross-sectional Case Analysis)를 통해 타당성을 검증한다.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.879-886
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• 2009

The purpose of this article is to present the application of Least Squares Support Vector Machine in analyzing the existing structure of brand. We estimate the parameters of the Market Share Attraction Model using a non-parametric technique for function estimation called Least Squares Support Vector Machine, which allows us to perform even nonlinear regression by constructing a linear regression function in a high dimensional feature space. Estimation by Least Squares Support Vector Machine technique makes it a good candidate for solving the Market Share Attraction Model. To illustrate the performance of the proposed method, we use the car sales data in South Korea's car market.

• Journal of the Korean Data and Information Science Society
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• v.21 no.3
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• pp.419-425
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• 2010

Kernel machine learning is gaining a lot of popularities in analyzing large or high dimensional nonlinear data. We use this technique to estimate a GARCH model for predicting the conditional volatility of stock market returns. GARCH models are usually estimated using maximum likelihood (ML) procedures, assuming that the data are normally distributed. In this paper, we show that GARCH models can be estimated using kernel machine learning and that kernel machine has a higher predicting ability than ML methods and support vector machine, when estimating volatility of financial time series data with fat tail.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.831-839
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• 2010

Least squares support vector machine (LS-SVM) is a kernel trick gaining a lot of popularities in the regression and classification problems. We use LS-SVM to propose a iterative algorithm for a nonlinear generalized autoregressive conditional heteroscedasticity model in the mean (GARCH-M) model to estimate the mean and the conditional volatility of stock market returns. The proposed method combines a weighted LS-SVM for the mean and unweighted LS-SVM for the conditional volatility. In this paper, we show that nonlinear GARCH-M models have a higher performance than the linear GARCH model and the linear GARCH-M model via real data estimations.

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.271-277
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• 2018

The aim of this study was to select useful items for assessing fall risk in community-dwelling elderly. This study assumed five fall risk factors: Symptoms of falling, physical function, disease and physical symptoms, environment, and behavior and character based on previous studies. The questionnaire consisted of 44 items according to the contents validation, crossover analysis and factor analysis. The Korean version of the Fall Risk Assessment Scale (FRA-K) will be used as a useful tool to improve the fall problems perceived to be serious social problems and to provide important information for prevention of falls.

• The Journal of Engineering Geology
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• v.3 no.1
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• pp.51-61
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• 1993

Restricted maximum likelihood(RML) method was used to determine the parameters of generalized covariance, and universal krigig with RML was applied to estimate a groundwater level distribution of nonstationarv random function. Universal kriging with RML was compared to IRF-k with weighted least squares method for the comparison of their accuracies. Cross validation shows that two methods have nearly the same ability for the estimation of groundwater levels. Scattergram of estimates versus true values and contour maps of groundwater levels have nearly the same results. The reason why two methods produced the same results is thought to be the non-Gaussian distribution and the snaall number of sample data.