• Journal of the Korea Society for Simulation
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• v.29 no.2
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• pp.83-93
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• 2020

Bivariate measure of risk and error(BMORE) plot is originally designed to depict bivariate output data and related statistics obtained from a stochastic simulation such as sample mean, median, outliers, and a boundary of a certain percentile of simulation data. When compared to the static numbers, the plot has a big advantage in visualization that enables scholars and practitioners to understand the potential variability and risk in the simulation data. In this study, beyond just the construction of the plot to depict the variability of a certain system, we add a chance constraint to the plot and apply it for decision making such as checking the feasibility of systems, comparing performances of the systems on statistical background, and also analyzing the sensitivity of the problem parameters. In order to demonstrate an application of the plot, we employ an inventory management problem as an example. However, the techniques and algorithms suggested in this paper can be applied to any other problems comparing systems on bivariate performance measures with simulation/experiment results.

• Journal of Korea Water Resources Association
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• v.51 no.1
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• pp.49-60
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• 2018

The multivariate regional frequency analysis has many advantages such as an adaption of regional parameters and consideration of a correlated structure of the data. The multivariate regional frequency analysis can provide the broader and more detailed information for the hydrological variables. The multivariate regional frequency analysis has not been attempted to model hydrological variables in South Korea yet. Therefore, it is required to investigate the applicability of the multivariate regional frequency analysis in the modeling of the hydrological variables. The current study investigated the applicability of the homogeneous region delineation and their characteristics in bivariate regional frequency analysis of annual maximum rainfall depth-duration data. The K-medoid method was employed as a clustering method. The discordancy and heterogeneous measures were used to assess the appropriateness of the delineation results. According to the results of the clustering analysis, the employed stations could be grouped into five regions. All stations at three of the five regions led to acceptable values of discordancy measures than the threshold. The stations where have short record length led to the large discordancy measures. All grouped regions were identified as a homogeneous region based on heterogeneous measure estimates. It was observed that there are strong cross-correlations among the stations in the same region.

• Journal of Biomedical Engineering Research
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• v.22 no.1
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• pp.49-58
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• 2001

A new scale named LCL(Logically Classified Level) has been developed to judge the status of the spasticity quantitatively implementing a pcndulum test in this study. Total 30 parameters have been used to develop the new scale. One representative parameter that can represent the dominant characteristics of spasticity has been chosen through statistical analysis. 20 parameters among 30 parameters uscd in the statistical analysis were newly developed and 10 parameters were from previous studies. The new 20 parametcrs were developed using combinations of pcndulum test characteristics. ie anglc, angular velocity. musclo midel. and EMG. 11 parameters among 30 parameters have showed strong correlations each other, Finally. L11 that showed consistency at every case has been chosen to be a representative parameter among the 11 parameters. 28 patients data were separated into 4 groups. A regression equation to predict the trend of patients of L11 has been made. The paramcter L11 was tested to prove its usabilitics for various cases of patients. The new LCL scale is expected to be a quantitative scale, and to replace the MAS(Modified Ashworth Scale) that is not a quantitative scale. Especially it is also expected that the new scale could be used to plan a treatmcnt period. methods, and intensity. as it can evaluate the status of patient's in detail.

• Journal of the Korean Society of Radiology
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• v.13 no.3
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• pp.407-414
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• 2019

Recently, after the reorganization as the basis of NCS education, various learning methods are being sought for improving the basic occupational ability and job ability required by NCS, and the evaluation method accordingly is urgently needed. The purpose of this study was to evaluate the applicability of meta-cognitive learning and Havruta learning as evaluation cases in order to improve the job skills and basic skills required in the NCS curriculum. As a result, the meta-cognitive learning response sample statistic showed an average of 2.6883 when the pre-meta-cognitive learning questionnaire was a 5-point scale, and an average of 4.2468 after the meta-cognitive learning questionnaire. The correlation coefficient was 0.782 and the significance probability was 0.045. In the case of the Havruta learning correspondence sample statistic, the average of 3.1515 when the preliminary Havruta learning questionnaire was a 5 point scale and the average of the post-Havruta learning questionnaire was 4.3853, which was improved by 1.23 points. The correlation coefficient was 0.631 and the significance probability was 0.049. Meta-cognitive learning and Havruta learning were found to be correlated. The mean of meta cognition was 3.4675 and the mean of Havruta was 3.7684. Metacognitive learning and Havruta learning were -0.042 And there was no statistically significant difference. Therefore, the learning method to improve the job ability should be applied considering the characteristics of the subject.

• Journal of Korean Society of Forest Science
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• v.106 no.2
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• pp.240-248
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• 2017

The purposes of this study is to analyze the effects of repeated mountain trekking experience in adolescent sociality. Fifty-eight adolescents who took part in Baekdu-daegan trekking program were analyzed as research subjects. The subjects were divided for comparative analysis. Those who participated 40 times or more from 2014 to 2015 were designated as repetitive participants, and those who participated 5 times or fewer from March 2016 to April 2016 were designated as temporary participants. The general attributes of the subjects were examined by using descriptive analysis. A correlation analysis was carried out to compute the correlation coefficients between the five sub-components of sociality, and an independent sample t-test was executed for comparative analysis of sociality. The results of the analysis showed that sociality was higher in adolescents who repeatedly participated in trekking. Repetitive participants scored higher than temporary participants in all measures of the sub-components of sociality: autonomy, lawfulness, diligence, cooperativeness, and interpersonal relationships. We have verified positive influence of repetitive trekking experiences based on the research results thus far. Therefore, it supports the need of forest education as a fundamental approach to solving adolescent problems.