• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.233-239
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• 2006

Most research for until at now link travel time were research for mean link travel time calculate or estimate which uses the average of the individual vehicle. however, the link travel time distribution is divided caused by with the impact factor which is various traffic condition, signal operation condition and the road conditional etc. preceding study result for link travel time distribution characteristic showed that the patterns of going through traffic were divided up to 2 in the link travel times. therefore, it will be more accurate to divide up the link travel time into the one involving delay and the other without delay, rather than using the average link travel time in terms of assessing the traffic situation. this study is it analyzed transit hour distribution characteristic and a cause using examine to the variables which give an effect at link travel time distribute using simulation program and determinate link travel time distribute ratio estimation model. to assess the distribution of the link travel times, this research develops the regression model and the fuzzy model. the variables that have high level of correlations in both estimation models are the rest time of green ball and the delay vehicles. these variables were used to construct the methods in the estimation models. The comparison of the two estimation models-fuzzy and regression model- showed that fuzzy model out-competed the regression model in terms of reliability and applicability.

• Industry Promotion Research
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• v.8 no.4
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• pp.69-79
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• 2023

This study sought to propose ways to improve the happiness of Chinese product designers by verifying whether grit moderates the effect of job stress on happiness through professional values. A purposively sampled participants of 335 Chinese product designers living in Guangdong Province, southern China, were selected. Data analysis was performed using SPSS PC+ Win. Ver. 26.0 and PROCESS Macro ver. 4.2. The statistical techniques applied were frequency analysis, reliability analysis, correlation analysis, and moderated mediation effect analysis. The research results are as follows. First, job stress showed a negative correlation with professional value and grit, but did not show a significant correlation with happiness. Except for job stress, there was a positive significant correlation between other variables. Second, the conditional indirect effect was significant when grit was M-SD, M, or M+SD. M+SD. Therefore, the moderated mediating role of grit was verified. However, as professional value increased, grit played a role in increasing happiness. Still, in the path of job stress -> professional value -> happiness, grit did not buffer the negative effect of job stress on happiness through professional stress. Suggestions were made to improve the happiness of product designers using professional values and grit.

• Industry Promotion Research
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• v.9 no.3
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• pp.285-294
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• 2024

This study aims to provide basic data for improving academic self-efficacy by identifying the mediating effect of teacher support and the moderating effect of growth mindset in the impact of academic burnout on academic self-efficacy. The subjects of the survey were 300 college students majoring in stomatology and stomatology technology in Guangzhou Medical College who were intentionally sampled from a university in Guangdong, China. Data was collected using an online questionnaire. Data analysis was performed using SPSS PC+ Win. ver. 25.0 and SPSS PROCESS macro ver. 4.2. The statistical techniques used were descriptive statistics, reliability analysis, correlation analysis, and indirect effect and conditional direct effect analysis. The research results are as follows. First, academic burnout showed a significant negative correlation with teacher support, growth mindset, and academic self-efficacy. Teacher support showed a significant positive correlation with growth mindset and academic self-efficacy. Second, in the relationship between academic burnout and academic self-efficacy, teacher support played a mediating role, and growth mindset played a moderating role. To improve academic self-efficacy, this study proposed ways to utilize teacher support to offset and growth mindset to buffer the impact of academic burnout on academic self-efficacy.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.795-812
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• 2024

The purpose of this study is to analyze the impact of online education characteristics on education satisfaction and intention to continue education, and to analyze the mediating effect of education satisfaction in the relationship between online education characteristics and education continuation intention. This study targeted adult women who experienced online skincare education and conducted a survey from March 1 to April 30. First, convenience, reliability, learner understanding, promptness of feedback, expertise, and attractiveness had a significant positive (+) effect on educational satisfaction. Second, educational satisfaction was found to have a significant positive (+) influence on the intention to continue education. Third, convenience, promptness of feedback, expertise, and attractiveness had a significant positive (+) effect on the intention to continue education, but learners' understanding appeared to have a negative (-) effect.Lastly, the mediating effect of education satisfaction was found to be significant in the relationship between education quality, instructor quality, and intention to continue education.

• Journal of the Earthquake Engineering Society of Korea
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• v.28 no.5
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• pp.285-294
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• 2024

Seismic fragility curves present the conditional probability of damage to target structures due to external seismic load and are widely used in various ways. When constructing such a seismic fragility curve, it is essential to consider various types and numbers of ground motions. In general, the earthquake occurrence characteristics of an area where the target structure of the seismic fragility curve exists are analyzed, and based on this, appropriate ground motions are selected to derive the seismic fragility curve. If the number of selected ground motions is large, the diversity of ground motions is considered, but a large amount of computational time is required. Conversely, if the number of ground motions is too small, the diversity of ground motions cannot be considered, which may distort the seismic fragility curve. Therefore, this study analyzed the relationship between the number of ground motions considered when deriving the seismic fragility curve and the parameters of the seismic fragility curve. Using two example structures, numerical analysis was performed by selecting a random number of ground motions from a total of two hundred, and a seismic fragility curve was derived based on the results. Analysis of the relationship of the parameter of the seismic fragility curve and the number of selected ground motions was performed. As the number of ground motions considered increases, uncertainty in ground motion selection decreases, and when deriving seismic fragility curves considering the same number of ground motions, uncertainty increases relatively as the degree of freedom of the target structure increases. However, considering a relatively large number of ground motions, uncertainty appeared insignificant regardless of increased degrees of freedom. Finally, it is possible that the increase in the number of ground motions could lower the epistemic uncertainty and thus improve the reliability of the results.