• Journal of the Korean housing association
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• v.12 no.2
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• pp.45-54
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• 2001

The purpose of this research was to analyze the correlation between the Apartment Purchase Price Decision Factor and Amenity decision Factor with cognition of the Consumer. The result are as follows; 1. The correlation coefficient between the Apartment Price Decision Factor and Amenity decision Factor with cognition of the Consumer was 0.587. 2. The ranking of the purchase price factor which it prefers were analyzed orientation > sunlight > view > the rising price expectation > natural environment etc. And the ranking of the amenity were analyzed orientation > natural environment > view > sunlight > noise etc. 3. Consumer group was classified the location, sex, year of ages and unit scale. The rank correlation coefficient of (the significant was below 0.05) sex was 0.617~0.644, year of ages was 0.62~0.771 and unit scale was 0.762~0.852. This research proved the fact that the amenity correlated with the apartment purchase price decision factor, so amenity contained an economic value. And this result will be used in decision-making-process of apartment construction.

• Geomechanics and Engineering
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• v.28 no.4
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• pp.397-404
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• 2022

Accurate prediction of the undrained shaft resistance is essential for robust design of bored piles in undrained condition. The undrained shaft resistance is calculated using the undrained adhesion factor multiplied by the undrained cohesion of the soil. However, the available correlations to predict the undrained adhesion factor have been developed using simple regression techniques and the accuracy of these correlations has not been thoroughly assessed in previous studies. The lack of the assessment of these correlations made it difficult for geotechnical engineers to select the most accurate correlation in routine designs. Furthermore, limited attempts have been made in previous studies to use advanced data mining techniques to develop simple and accurate correlation to predict the undrained adhesion factor. This research, therefore, has been conducted to fill these gaps in knowledge by developing novel and robust correlation to predict the undrained adhesion factor. The development of the new correlation has been conducted using the multi-objective evolutionary polynomial regression analysis. The new correlation outperformed the available empirical correlations, where the new correlation scored lower mean absolute error, mean square error, root mean square error and standard deviation of measured to predicted adhesion factor, and higher mean, a20-index and coefficient of correlation. The correlation also successfully showed the influence of the undrained cohesion and the effective stress on the adhesion factor. Hence, the new correlation enhances the design accuracy and can be used by practitioner geotechnical engineers to ensure optimized designs of bored piles in undrained conditions.

• Journal of the Korean Statistical Society
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• v.31 no.2
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• pp.163-175
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• 2002

An extended version of the minimax eccentricity factor estimation for multiple set case is proposed. In addition, two more simple methods for multiple set factor analysis exploiting the concept of generalized canonical correlation analysis is suggested. Finally, a certain connection between the generalized canonical correlation analysis and the multiple set factor analysis is derived which helps us clarify the relationship.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.15 no.1
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• pp.77-86
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• 2011

Objectives: With increased rate of chronic disease, concerns about preventive medicine has raised. Therefore questionnaire of subhealth status was developed and analysed in our previous study. A large number of chronic diseases is related to emotional issues. This study was to confirm a relationship between mood state and health status in terms of modern people's healthcare. Methods: Subhealth Questionnaire and Korean version of Profile of Mood States(k-POMS) were putted by 113 college students. And correlation and regression analysis was conducted. Results: Subhealth questionnaire and k-POMS proved a significant correlation. In particular, subhealth factor 3(mood) had a significant correlation with all factors of k-POMS. Subhealth factor 1(body), subhealth factor 2(life) and subhealth factor 6(society) had significant correlations with 5 factors of k-POMS. Subhealth factor 4(energy) and subhealth factor 5(heredity) did not show significant results. 'Fatigue' factor of k-POMS was proved to be the most important factor influencing the subhealth status and illness, indicating high correlations with all of subhealth status.

• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.1
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• pp.308-317
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• 2007

This study was investigated to know the correlation of complete blood count(CBC), biochemical examination and DSOM fluents(Diagnosis System of Oriental Medicine, (C)2005-01-122-004154). There are 5 fluents in DSOM such as DSOM score(病機點數), mean of the index for pathogenic factor(病機指標 平均), 5-division of DSOM score(病機點數 五點尺度), 5-division of the index for pathogenic factor(病機點數 五點尺度), weighted pathogenic factor(病機加重値).We have carried out clinical trials who volunteered for Sasang constitutional medicine and Oriental OB & GY, Oriental Medical hospital of Dong-Eui University, from May 2005 to June 2006. Volunteers were 245 persons. Because 7 persons didn't checkup DSOM, so we analyzed the results statistically for 238 persons. In the relation of CBC and DSOM, the scores(病機點數, zp) and mean of the index for Pathogenic factor(病機指標 平均, zps) showed correlation more frequently, and correlation with results of RBC, hemoglobin, hematocrit was more significant. Correlation with fluents of pathogenic factor(病機) were more significant and high in deficiency of blood(血虛), insufficiency of Yang(陽虛), coldness(寒), damp(濕), dryness(燥), kidney(腎), phlegm(痰), heat syndrom(熱), lung(肺), and was very low in spleen(脾). There was no correlation with deficiency of Yin(陰虛). If volunteers have DSOM fluents, results of RBC and RBC index was decreased(- derection), and results of RDW, ESR was increased(+ direction). But increase and decrease direction in heat syndrom(熱), lung(肺) was contrary to the others. Correlation with fluents of Pathogenic factor(病機) of WBC, platlet, PDW, MPV was not many. In the relation of biochemical examination and DSOM fluents, correlation with results of albumin, uric acid, triglyceride was more significant. If volunteers have fluents of pathogenic factor(病機), result of examination was usually decreased. Especially result of examination was decreased(- derection) highly in deficiency of blood(血虛), stagnation of (氣滯) coldness(寒), dryness(燥), and was increased(+ direction) highly in heat syndrom(熱), lung(肺). But there was a tendency to show high correlation with specific pathogenic factor (病機) and specific examination in biochemical examination.

• Nuclear Engineering and Technology
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• v.47 no.1
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• pp.135-138
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• 2015

A new correlation predicting the idealized critical mass-flow rates of water for subcooled and saturated liquid water including two-phase water flow was developed for a wide range of upstream stagnation pressures (e.g., 0.5-20.0 MPa). A choking correction factor dependent on the upstream stagnation pressure and subcooled temperature was introduced into a new correlation, and its values were suggested to satisfy the idealized nozzle data within 10% error ranges. The suggested correlation will be instructive and helpful for related studies and/or engineering works.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.727-733
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• 2011

To understand the stock market structure it is very important to extract meaningful information by analyzing the correlation matrix between stock returns. Recently there has been many studies on the correlation matrix using the Random Matrix Theory. In this paper we adopt this random matrix methodology to a single-factor model and we obtain meaningful information on the correlation matrix. In particular we observe the analysis of the correlation matrix using the single-factor model explains the real market data and as a result we confirm the usefulness of the single-factor model.

• Journal of the Korean Data and Information Science Society
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• v.22 no.5
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• pp.1007-1016
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• 2011

This article deals with the problem of testing for the correlation coefficient in the bivariate normal distribution. We propose Bayesian hypothesis testing procedures for the bivariate normal correlation coefficient under the noninformative prior. The noninformative priors are usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the default Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factors under the reference priors. A simulation study and an example are provided.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.11 no.2
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• pp.68-83
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• 2007

Background and Purpose: According to chaos theory, irregular signals of electroencephalogram can interpretated by nonlinear method. Chaotic nonlinear dynamics in EEG can be studied by calculating the correlation dimension. The aim of this study is to analyze EEG by correlation dimension and do Correlation Analysis of correlation dimension and K-POMS factors score. Method: EEG raw data were measured during 15 minutes and choosed 40 seconds. We calculated correlation dimension and used surrogate data method for checking nonlinear data. After then do correlation analysis. Result and Conclusion: Correlation dimension of channel 6, channel 7 and channel 8 are showed significant correlation with vigor factor.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.551-556
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• 2013

The Forearm and the lumbar spine bone mineral density bone mineral density values obtained through, T-score and Z-score correlation between numerical and calibration function obtained as a result of any one part to another part of the results is intended to infer. Groups of 66 patients, 11 patients by age 20-70 were composed of patients measured with the forearm and lumbar spine bone mineral density T-score and Z-score of the survey for each of the three factors that correlated to assess the correlation Find the correction factor to obtain the relationship. Bone mineral density of the correlation coefficient R = 0.769 correction factor is Y = 1.541X + 0.133. T-score of correlation coefficient R = 0.768 and the correction factor Y = 0.715X - 0.4 is Z-score of the correlation coefficient R = 0.635 correction factor Y = 0.751X - 0.162. It is regarded that there will be a clinical availability which can analogize the result of a part by using the result of the other part.