• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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• pp.1151-1160
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• 2006

The similarity weight, the pearson's correlation coefficient, which is used in the recommender system has a weak point that it cannot predict all of the prediction value. The similarity weight, the vector similarity, has a weak point of the high MAE although the prediction coverage using the vector similarity is higher than that using the pearson's correlation coefficient. The purpose of this study is to suggest how to raise the prediction coverage. Also, the MAE using the suggested method in this study was compared both with the MAE using the pearson's correlation coefficient and with the MAE using the vector similarity, so was the prediction coverage. As a result, it was found that the low of the MAE in the case of using the suggested method was higher than that using the pearson's correlation coefficient. However, it was also shown that it was lower than that using the vector similarity. In terms of the prediction coverage, when the suggested method was compared with two similarity weights as I mentioned above, it was found that its prediction coverage was higher than that pearson's correlation coefficient as well as vector similarity.

• The Journal of Economics, Marketing and Management
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• v.12 no.3
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• pp.35-42
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• 2024

Purpose This study aims to investigate the correlation of social skills and metacognition among university students participating in service-learning programs. Also by evaluating the satisfaction of college students participating in service learning, this research seeks to understand the impact of this program on learning experiences. Research design, data and methodology: The research period spans two semesters, each comprising 15 weeks, from March 2, 2023, to December 20, 2023. Detailed procedures, including planning, preparation, data collection, analysis, and organization, cover activities conducted over the course of 30 weeks. These activities encompass various stages, from initial classroom planning with designated English storybooks to reflection and feedback sessions aimed at continuous development. Data collection methods include surveys, interviews, and observations, allowing for a comprehensive examination of social skills and metacognition among participating students. Results: The results show significant correlations between social skills and metacognition, such as the correlation between knowledge and statistics (r = 0.759, p < .01), the moderate correlation between cooperation and knowledge (r = 0.532, p < .01), the moderate correlation between statistics and cooperation (r = 0.539, p < .01), and the correlation between self-regulation and assertion (r = 0.278, p < .001). The average score of the satisfaction of college students participating in service learning was 4.8 out of 5. Conclusions: This study highlights the significant role of service-learning in boosting social skills and metacognition among university students. This study enhances the academic understanding of the relationships between social skills, metacognition, and service-learning programs, contributing to the expansion of both theoretical and practical knowledge in the field.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.1
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• pp.90-100
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• 2017

This study seeks to identify factors influencing the gender equality consciousness of university students and provide data to increase gender equality consciousness for university students based on the results. The subjects of university students in D and G city at the time, data collection was from April 1, 2016 to April 14, 189 questionnaires were used in the final analysis. The collected data using SPSS/WIN 20.0 program percentages, means and standard deviations, t-test, ANOVA, post verification was analyzed by scheffe's test, correlation between variables affect the Pearson's correlation coefficient, gender equality consciousness used a multiple regression analysis. In results of the study, gender equality consciousness appeared as $3.23{\pm}0.48$ points. Gender equality consciousness were a negative correlation with gender role stereotypes(r=-.711, p<.001) and a positive correlation with self-esteem correlation(r=.186, p=.011) and showed a negative correlation with control (r=-383, p<.001). Factors affecting gender equality in research subjects appeared to be gender role stereotypes and control, explanatory power was found to be 50.1%. Through this research requires the fellow study to determine the various factors affecting the gender equality consciousness of university students, it is necessary to improve the gender equality consciousness.

• Nuclear Engineering and Technology
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• v.29 no.3
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• pp.201-210
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• 1997

A thermal conductivity correlation has been proposed which can be applied to high turnup fuel by considering both of thermal conductivity with turnup across fuel pellet and additional degradation at pellet rim due to very high porosity. In addition, a correlation has been developed that can estimate the porosity of rim region as a function of rim burnup under the assumptions that all the produced fission gases are retained in the in porosity and threshold pellet average burnup required for the formation of rim region is 40 MWD/㎏U. Rim width is correlated to rim burnup using measured data. For the RISO experimental data obtained at pellet average turnup of 43.5 MWD/㎏U for three linear heat generation rates of 30, 35 and 40 ㎾/m, radial temperature distributions ore calculated using the present correlation and compared with the measured ones. This comparison shows that the present correlation gives the best agreement with the measured data when it is combined with the HALDEN's correlation for thermal conductivity considering its degradation with burnup. Another comparison with the HALDEN's measured fuel centerline temperature as a function of burnup at 25 ㎾/m up to about 44 MWD/㎾U also suggest that the present correlation yields the best agreement when it is combined with the HALDEN's thermal conductivity.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.13 no.2
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• pp.188-195
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• 2002

This paper statistically verifies two correlation algorithms by comparing the data of GTEM cell to those of semi-anechoic chamber (SAC). Correlation algorithms considered in this paper are 3 and 15 position methods, which simulate the EMI test for an equipment under test (EUT) over the ground plane by using the radiated power from EUT located within GTEM cell. Also, the results obtained by two algorithms are compared with the theoretical values calculated from an ideal dipole model. From the results, it was found that the data obtained by two correlation algorithms and SAC have a strong correlation. In addition, the EMI data by 3 position method showed higher than those by 15 position method and SAC measurements.

• 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.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.11 no.2
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• pp.96-115
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• 2007

Background and Purpose: Electroencephalogram(EEG) is a multi-scaled signal consisting of several components of time series with different origins. Recently, because of the absence of an identified metric which quantifies the complex amount of information, there are many limitations in using such a linear method. According to chaos theory, irregular signals of EEG can also result from low dimensional deterministic chaos. Chaotic nonlinear dynamics in the EEG can be studied by calculating the correlation dimension. The aim of this study is to analyze correlation between the correlation dimension of EEG and psychological Test (TCI). Methods: Before and after moxibustion treatment, EEG raw data were measured by moving windows during 15 minutes. The correlation dimension(D2) was calculated from stabilized 40 seconds in 15 minutes data. 8 channels EEG study on the Fp, F, T, P was carried out in 30 subjects. Results: Correlation analysis of TCI test is calculated with deterministic non-linear data and stochastic non-linear data. 1. Novelty seeking in temperament is positive correlated with D2 of EEG on Fp. 2. reward dependence in temperament is positive correlated with D2 of EEG on T3,T4 and negative correlated with D2 of EEG on P3,P4. 3. self directedness in character is positive correlated with D2 of EEG on F4, P3. 4. Harm avoidance is negative correlated with D2 of EEG on Fp2, T3, P3. Conclusion: These results suggest that nonlinear analysis of EEG can quantify dynamic state of brain abolut psychological Test (TCI).

• International Journal of Air-Conditioning and Refrigeration
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• v.12 no.4
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• pp.192-197
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• 2004

A capillary tube, which is a common expansion device in small sized refrig-eration and air-conditioning systems, should be redesigned properly to establish an optimum operation cycle of a refrigerating system with alternative refrigerants. Based on experimental data for R-22, R-290, and R-407C, an empirical correlation is developed to predict mass flow rate through capillary tubes. Dimensionless parameters are derived from the Buckingham Pi theorem, considering the effects of operating conditions and capillary tube geometry on mass flow rate. Approximately $97\%$ of the present data are correlated within a relative deviation of $\pm\;10\%.$ The present correlation also predicts the data obtained from open literature within $\pm\;15\%.$ In addition, rating charts of refrigerant flow rate for R-12, R-22, R-134a, R-152a, R-407C, R-410A, R-290, and R-600a are developed.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.187-190
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• 2007

This study is for analyzing best band in image matching using correlation coefficient of left and right images of stereo image pair, lot red, green, blue band images separated from color aerial photo and gray image converted from the same color aerial photo image. The image matching is applied to construct Digital Elevation Model(DEM) or terrain data. The correlation coefficients and variation by change of pixel patch size are computed from pixel patches of which sizes are $11{\times}11{\sim}101{\times}101$. Consequently, the correlation coefficient in red band image is highest. The lowest is in blue band. Therefore, to construct terrain data using image matching, the red band image is preferable. As the size of pixel patch is growing, the correlation coefficient is increasing. But increasing rate declines from $51{\times}51$ image patch size and above. It is proved that the smaller pixel patch size than $51{\times}51$ is applied to construct terrain data using image matching.

• Journal of The Korean Society of Integrative Medicine
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• v.8 no.4
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• pp.231-239
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• 2020

Purpose: The purpose of this study is to identify the relationship of between social support, emotional intelligence, depression, and health promotion behaviors of nursing college students, and to establish basic data for the development of a nursing intervention program for health promotion behaviors. Methods: This descriptive correlation study examined the correlation between the social support, emotional intelligence, depression, and health promotion behaviors of nursing students. 203 nursing college students located in J city participated in the study from November to December 2019. The collected data was analyzed used the SPSS WIN 22.0 program. The general characteristics of the subjects were analyzed by frequency and percentage, and health promoting behavior, social support, emotional intelligence, and depression were analyzed using mean and standard deviation. In this study, the correlation between the subjects' social support, emotional intelligence, depression, and health promotion behaviors was analyzed using Pearson correlation coefficient. Results: The study results showed that the subjects' health promotion behaviors averaged 2.22±0.38 points out of 4d social support averaged 3.83±0.59 points out of 5, emotional intelligence averaged 4.53±0.73 out of 7, and depression averaged 0.49±0.42 points out of 2 points. The analysis results of correlation between the subject's health promotion behaviors, social support, emotional intelligence, and depression showed that health promotion behaviors and social support (r=.287, p<.001), health promotion behaviors and emotional intelligence (r=.450, p<.001), and social support and emotional intelligence (r=.450, p<.001) had a positive correlation, but depression and health promotion behaviors (r=-.453, p<.001), depression and social support (r=-.259, p<.001), and depression and emotional intelligence (r=-.322, p<.001) had a negative correlation. Conclusion: This study will provide the basic data for a follow-up researches on the social support, emotional intelligence, depression and health promotion behaviors of nursing college students. It is expected to serve as the basic data for developing nursing intervention programs for health promotion behaviors in the future.