• Journal of the Korean housing association
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• v.15 no.3
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• pp.21-30
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• 2004

The purpose of this study was to examine theoretical underpinnings of housing adjustment as applied to residents of Korean folk housing. On random and voluntary base, 66 households of the Andong Haboe folk village were asked to participate in the present study for a self-administrated questionnaire survey as well as open-ended face-to-face interviews. Some valuable results were obtained as follows. In spite of the legal barrier to change in physical conditions of housing, first, a huge amount of adjustment actually took place in the rural folk village. Satisfying basic amenity or shelter needs turned out to be the basic role of adjustment. Second, the number of adjustment works previously done was not effective anyhow in predicting the level of housing satisfaction. Speare's (1974) satisfaction theory of housing adjustment was largely supported by the present study. Highly dissatisfied residents with their housing were more likely to expect adjustment works of their own. Additionally, age turned out to be the most powerful predictor of housing adjustment. Finally, housing satisfaction was positively correlated with community attachment (Kendall's $\tau$ =.35 ; p 〈 .001). Residents satisfied with their house were more likely to be proud of being a member of community. Overall, though, community attachment was not related anyhow to the willingness of housing adjustment.

• Korean journal of food and cookery science
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• v.19 no.5
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• pp.581-590
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• 2003

The purpose of this study was to identify the combinations of factors combinations conferring the highest utility of family restaurants to university students, and establish the relative importance of these factors in terms of their contribution to total utility. 196 of 200 questionnaires were utilized for the analysis. (Eds note: to whom were the questionnaires administered) Frequencies, crosstabs, and the conjoint, max. utility, BTL and Logit models, K-means cluster and one-way ANOVA analysesis, and the Friedman test were the statistical methods used for this study. The findings from this study were as follows: 1) the Pearson's R and Kendall's tau statistics (Eds note: these were not mentioned earlier) show that the model (Eds note: which model is this) fits the data well. 2) it was found that of all the respondents, especially the first and third clusters, regarded both the type of food and the price as very important factors. 3) it was found that all the respondents, especially the third cluster, most preferred a family restaurant (design and simulation) that provided less than 6 fusion and traditional foods. The first cluster most preferred family restaurant (design) that provided over 10 traditional and less than 6 ethnic foods. The second cluster most preferred a family restaurant (design and simulation) that provided over 10 traditional foods. 4) the results of the study have provided some insights into the effective types of family restaurant designs that can be successfully developed by those who manage menu variety, quality and type of food, price, and quality of service to university students dining at family restaurants.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.421-421
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• 2017

In order to secure the safety of coastal areas from the continuous storm surge in Korea, it is important to predict the wave movement and properties accurately during the storm event. To improve the accuracy of the storm simulation, and to quantify coastal risks from the storm event, the dependencies between wave height, wave period, and storm duration should be analyzed. In this study, therefore, copulas were used to develop multivariate statistical models of sea storms. A case study of the east coast of Korea was conducted, and the dependencies between wave height, wave period, water level, storm duration and storm interarrival time were investigated using Kendall's tau correlation coefficient. As a result of the study, only wave height, wave period, and storm duration appeared to be correlated.

• Journal of the Korean Society of Food Culture
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• v.21 no.4
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• pp.414-419
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• 2006

The purpose of this study was to measure the factor influencing tourist preferences for leaf mustard iimchi. Among 250 questionnaires, 230 questionnaires were utilized for the analysis. Frequencies, conjoint model, max. utility model, BTL model, Logit model, K-means cluster analysis, and one-way ANOVA analysis were used for this study. The findings from this study were as follows. First, the Pearson's R and Kendall's tau statistics showed that the model fitted the data well. Second, it was found that total respondents and three clusters regarded taste and price as the very important factor. Third, it was found that the first cluster most preferred product with light red color, plain package, and mild taste sold at a cheap price in factory. The second cluster most preferred product with light red color, plain package, and moderately pungent taste sold at a expensive price in factory. The third cluster most preferred product with dark red color, shaped package, and highly pungent taste sold at a cheap price in factory. Fourth, it was found that the first cluster most preferred simulation product with light red color, shaped package, and mild taste sold at a cheap price in factory. The second cluster most preferred simulation product with light red color, shaped package, and moderately pungent taste sold at a cheap price in factory. The third clutter most preferred simulation product with dark red color, shaped package, and highly pungent taste sold at a cheap price in factory.

• Korean Journal of Acupuncture
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• v.25 no.2
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• pp.95-105
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• 2008

Objectives : This study is to establish the appropriate assessment of causalities from adverse events (AEs) which are related to acupuncture treatment. Methods : We assessed thirty AEs which were caused in the early phase trial on concomitant use of acupuncture and herbal medicines. We scored each AE on the questionnaire in Naranjo and SNU algorithm scale which are for drug causality assessment in pharmacoepidemiology. Results : In Naranjo scale, there were consistencies among the evaluators qualitatively with "Probable", "Possible" degree. In reliability test, parameters, such as, gamma and kendall's tau-b revealed the degrees of 73%, and 32%, respectively. There were disaccordant tendency in SNU algorithm scale. Conclusion : A new algorithm which reflects acupuncture properties should be developed and elucidated.

• Physical Therapy Korea
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• v.1 no.1
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• pp.1-9
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• 1994

This study was performed to determine the inter-rater reliability of manual tests of elbow, knee flexor, and ankle dorsiflexor muscle spasticity graded on the Modified Ashworth Scale. Two raters each independently graded the spasticity of 32 patients with intracranial lesions after moving the paretic limb passively through the available range of motion. The patients were asked to simultaneously squeeze therapeutic putty with their non-paretic hand for reinforcement. The ratings were compared by the Wilcoxon matched pairs signed-rank test and by the Kendall's coefficient of rank(tau) correlation. There was singificant correlation between two raters for spasticity at the elbow, knee flexor, and ankle dorsiflexor. The correlations of the two raters ranged from .6746 to .9308. The highest correlation was for the elbow with reinforcement and the lowest was for the knee without reinforcement. Poorer correlation was evident in the knee joint. The positive results of this study encourage the continued use of manual tests of muscle spasticity, using the Modified Ashworth Scale.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.420-420
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• 2015

일반적으로 호우사상의 특성은 강우강도, 지속기간, 총 강우량으로 정량화된다. 주어진 호우 사상에 대한 재현기간은 보통 위 세 개 변량 중 두 개의 변량에 대한 이변량 빈도해석을 통해 결정된다. 따라서 3 가지의 다른 빈도해석이 가능하며, 원칙적으로 이 세 가지 빈도해석 결과는 같아야 한다. 그러나, 문제는 어떤 변량을 선택하느냐에 따라 빈도해석 결과가 달라진다는 점이다. 본 연구에서는 이 문제를 해결하고자 다음과 같은 연구를 수행하였다. 첫 번째로 1961-2010년에 관측된 서울지점 연최대치 호우사상에 대한 이변량 빈도해석을 수행하였다. 이변량 빈도해석은 Frank, Gumbel-Hougaard, Clayton, ali-Mikhail-Haq copula 모형을 이용하여 수행하였으며, 모형의 매개변수는 두 변량의 상관관계를 나타내는 Kendall's tau를 이용하여 추정하였다. 호우사상에 대한 이변량 빈도해석을 수행한 결과, 결과가 일관되지 않고 고려한 두 가지 강우변량에 따라 다르게 나타난 것을 확인하였다. 두 번째로 보편적인 강우강도식을 이용하여 호우사상을 이루는 세변량의 특성을 분석하였다. 본 연구에서 고려한 강우강도식은 Talbot 형, Sherman 형, Japanese 형, Grunsky 형이다. 일반적인 강우강도식에서 지속기간과 강우강도의 관계는 I~t^a와 같이 나타나며, 이 때 a의 범위는 -0.5부터 -1까지 값으로 정해진다. 마지막으로, 호우사상을 이루는 세 변량의 상관관계를 이용하여 가장 적절한 이변량 빈도해석결과를 도출하는 강우 변량의 조합을 결정하였다. 결론적으로, 본 연구에서는 지속기간과 강우강도를 copula 모형을 이용한 이변량 빈도 해석의 가장 적절한 것으로 판단되었다.

• Nuclear Engineering and Technology
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• v.53 no.12
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• pp.3944-3951
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• 2021

Several reasons such as no free lunch theorem indicate that there is not a universal Feature selection (FS) technique that outperforms other ones. Moreover, some approaches such as using synthetic dataset, in presence of large number of FS techniques, are very tedious and time consuming task. In this study to tackle the issue of dependency of estimation accuracy on the selected FS technique, a methodology based on the heterogeneous ensemble is proposed. The performance of the major learning algorithms of neural network (i.e. the FFNN-BR, the FFNN-LM) in combination with the diverse FS techniques (i.e. the NCA, the F-test, the Kendall's tau, the Pearson, the Spearman, and the Relief) and different combination techniques of the heterogeneous ensemble (i.e. the Min, the Median, the Arithmetic mean, and the Geometric mean) are considered. The target parameters/transients of Bushehr nuclear power plant (BNPP) are examined as the case study. The results show that the Min combination technique gives the more accurate estimation. Therefore, if the number of FS techniques is m and the number of learning algorithms is n, by the heterogeneous ensemble, the search space for acceptable estimation of the target parameters may be reduced from n × m to n × 1. The proposed methodology gives a simple and practical approach for more reliable and more accurate estimation of the target parameters compared to the methods such as the use of synthetic dataset or trial and error methods.

• Journal of radiological science and technology
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• v.40 no.2
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• pp.311-316
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• 2017

Generally assessing bone mineral density (BMD) were performed on dual energy X-ray absorptiometry (DEXA) the same as dual energy CT (DECT) with a rapid-kVp switching. The purpose of this study is to compare the different of BMD value between DEXA and DECT method, and evaluate usefulness of DECT method. Using scanner for BMD measurements were GE, Healthcare Discovery 750 HD for DECT and Hologic QDR 4500W for DEXA. For compare BMD value in each method, scanned lumbar spine phantom and subjects visiting Korean National Cancer Center from April 2015 to December 2015, records of 50 patients. This study was approved by the Institutional Review Board. The mean BMD value measures for spine phantom and for subjects in each scanners presented strong correlation (r=0.948 with p<0.05 for phantom; r=0.635 with p<0.05 and Kendall's tau $({\tau})=0.46$ with p<0.05 for subjects) and linear relationship between DECT and conventional DEXA. DECT technique for BMD measurement will provide a very useful methodology without additional radiation dose.

• IE interfaces
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• v.24 no.4
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• pp.314-322
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• 2011

This study analyzes a relationship between Data Envelopment Analysis(DEA) efficiency scores and a normalization index in order to examine the validity of DEA models. A normalization index concerned in this study is 'sales per R&D project fund' which is regarded as a crucial R&D project performance evaluation index in practice. For this correlation analysis, three distinct DEA models are selected such as DEA basic model, DEA/AR-I revised model(i.e. DEA basic model with Acceptance Region Type I constraints) and Super-Efficiency(SE) model. Especially, SE model is adopted where efficient R&D projects(i.e. Decision Making Units, DMU's) with DEA efficiency score of unity from DEA basic model can be further differentiated in ranks. Considering the non-normality and outliers, two rank correlation coefficients such as Spearman's ${\rho}_s$ and Kendall's ${\tau}_B$ are investigated in addition to Pearson's ${\gamma}$. With an up-to-date empirical massive dataset of n = 482 R&D projects associated with R&D Loan Program of Korea Information Communication Promotion Fund in the year of 2011, statistically significant (+) correlations are verified between the normalization index and every model's DEA efficiency scores with all three correlation coefficients. Especially, the congruence verified in this empirical analysis can be a useful reference for enhancing the practitioner's acceptability onto DEA efficiency scores as a real-world R&D project performance evaluation index.