• 한국철도학회논문집
• /
• 제10권3호
• /
• pp.306-312
• /
• 2007

This paper presents the optimal design method of the train repair facility based on the simulation analysis. The train is divided into the power car, motorized car and passenger car for the simulation process analysis and train repair facility is composed of each subsystems such as a blast, dry and wash workshop. In simulation analysis, we consider the critical (dependent) factors and design (independent) factors for the optimal design. Therefore, a simulation optimization uses Evolution Strategy (ES) in order to find the optimal design factors. Experimental results indicate that simulation design factors are sufficient to satisfy the conditions of dependent variables. The proposed analysis method demonstrates that simulation design factors determined by the simulation optimization are appropriate for real design factors in a real situation and the accuracy and confidence for the simulation results are increased.

• 한국보건간호학회지
• /
• 제33권3호
• /
• pp.409-419
• /
• 2019

Purpose: Factors related to the major satisfaction of nursing students were systematically searched and quantitatively synthesized. Methods: Meta-analysis was conducted upon 47 articles in Korean master and doctorate degree dissertations and academic journals. Meta-analysis of major satisfaction-related variables was conducted using Comprehensive Meta-Analysis (CMA) 2.0 program. The effect size of the related variables was analyzed by converting the statistic r value to Fisher's Z. Results: The overall average effect size of major satisfaction was the largest effect size (ES=.49), followed by cognitive factors (ES=.58), affective factors (ES=.45), and psychomotor factors (ES=.31). The cognitive factors were in the order nursing professionalism(ES=.70), nurse's image (ES=.65), and critical thinking disposition (ES=.36). The affective factors were self-esteem (ES=.59), emotional intelligence (ES=.55), career identity (ES=.49), self-efficacy (ES=.48), college adjustment (ES=.45), practice satisfaction (ES=.45), resilience (ES=.42), (ES=.40), grit (ES=.34), and stress (ES=.26). The psychomotor factors were clinical performance ability (ES=.38) and career search behavior (ES=.31). Conclusion: The results of this study are valuable when giving consideration to the variables related to nursing students' major satisfaction, for developing a strategic model to enhance the satisfaction of nursing students.

• 한국컴퓨터정보학회논문지
• /
• 제21권11호
• /
• pp.127-134
• /
• 2016

In this paper, we propose factors that influence on the mobile commerce satisfaction conducted by data mining and a PLS regression analysis. We extracted the most frequent words from mobile application reviews in which there are a large number of user's requests. We employed the content analysis to condense the large number of texts. We took a survey with the categories by which data are condensed and specified as factors that influence on the mobile commerce satisfaction. To avoid multicollinearity, we employed a PLS regression analysis instead of using a multiple regression analysis. Discovered factors that are potential consequences of customer satisfaction from direct requests by customers, the result may be an appropriate indicator for the mobile commerce market to improve its services.

• 한국의류산업학회지
• /
• 제10권6호
• /
• pp.936-946
• /
• 2008

The purpose of this study is to analyze whether transactional leadership and transformational leadership have an effect on team empowerment and performance. To this end, a survey was conducted from August 1 to 30 in 2008, among team members of fashion companies. The data was collected with 586 subjects, the statistical analysis methods were frequency analysis, reliability analysis, factor analysis and multiple regression analysis. The results of this study were as follows; First, contingent reward of transactional leadership had an effect on team empowerment factors and team performance factors. Second, charisma, individualized consideration and intellectual stimulation of transformational leadership had an effect on team empowerment factors and team performance factors. Third, team potency, team autonomy and team meaning of team empowerment had an effect on team performance factors.

• 지질공학
• /
• 제33권4호
• /
• pp.673-687
• /
• 2023

데이터 탐색은 수집한 데이터를 다양한 각도에서 관찰 및 이해하는 과정으로 데이터 구조 및 특성 분석을 통해 데이터의 분포와 상관관계를 파악하는 과정이다. 일반적으로 산사태는 다양한 인자들에 의해 유발되고 발생 지역에 따라 유발 인자들이 미치는 영향이 상이하기 때문에 산사태 취약성 분석 이전에 데이터 탐색을 통해 유발 인자 사이의 상관관계를 파악하고 특징적인 유발 인자를 선별한다면 효과적인 분석을 수행할 수 있다. 따라서 본 연구는 데이터 탐색이 예측 모델의 성능에 미치는 결과를 확인하기 위해 두 단계에 걸친 데이터 탐색을 수행하여 인자를 선별하고, 선별된 유발 인자들 사이의 조합과 23개의 전체 유발 인자 조합을 활용하여 딥러닝 기반의 산사태 취약성 분석을 진행하였다. 데이터 탐색 과정에서는 Pearson 상관계수 heat map과 random forest의 인자 중요도 histogram을 활용하였으며, 딥러닝 기반 산사태 취약성 분석 결과의 정확도는 분석을 통해 획득한 산사태 취약 지수 값을 이용해 제작한 산사태 취약성 지도를 confusion matrix 기반의 정확도 검증 방법을 통해 분석하였다. 분석 결과, 전체 23개의 인자를 사용한 산사태 취약성 해석 결과는 55.90%의 낮은 정확도를 보였지만 한 단계의 탐색을 거쳐 선별한 13개 인자를 활용한 취약성 해석 결과는 81.25%의 분석 정확도를 보였고, 두 단계 데이터 탐색을 모두 수행하여 선별된 9개의 유발 인자를 활용한 산사태 취약성 분석 결과는 92.80%로 가장 높은 정확도를 보였다. 따라서 데이터 탐색을 통해 특징적인 유발 인자를 선별하고 분석에 활용하는 것이 산사태 취약성 분석에서 더 좋은 분석 성능을 기대할 수 있음을 확인하였다.

• 한국과학교육학회지
• /
• 제22권5호
• /
• pp.1010-1029
• /
• 2002

The purpose of this research was to survey middle school students' preference for science and its causal factors, so as to analyze the causal relationships between them. Preference for science and its causal factors were defined theoretically, and a theoretical model was constructed to measure them and analyze the causal relationship by structural equation modeling. According to the theoretical model and a pilot test, a questionnaire was developed with three parts; the background information of a respondent, the preference for science, and the causal factors of preference. The questionnaire was administered to one class per grade of randomly selected 8 middle schools from 4 areas across the country, and 819 students' data were collected. Preference for science was defined as a state of mind. It revealed to what extent, and how, one likes science. It consisted of 3 categories - 'emotional response', 'behavioral volition', 'valuational comprehension', and each category was divided into two subcategories. Causal factors affecting the preference for science consisted of three categories - personal, educational and social factors, and each was divided into 2 or 3 subcategories. Middle school students' preference for science was middling as a total. Curiosity about contents of science and valuation of science were high, comparatively, but behavioral volition about science was especially low. Students' responses to the causal factors were relatively high in every educational factor and sociocultural valuation of social factors, but relatively low in socioeconomic rewards of social factors, and especially low in personal factors. The causal relationship about the preference for science was investigated by multiple regression analysis and path analysis, using the structural equation model. Multiple regression analysis about the preference for science and its causal factors revealed important factors. The important factors were personal ability, the personal traits, rewards in school science, and contents of school science in order of magnitude of standardized regression coefficient ${\beta}$. Stepwise regression analysis with each of the subcategories of the preference for science as dependent variables showed what factors were important in each subcategory. According to the result of structural equation modeling, personal factors affected 'emotional response' and 'behavioral volition' directly, and social factors affected 'valuational comprehension' directly. Educational factors affected all categories of the preference for science by influencing not only 'emotional response' and 'valuational comprehension' directly, but also 'behavioral volition' indirectly. The way to promote middle school students' preference for science was suggested, based on the analysis result.

• 한국정보시스템학회지:정보시스템연구
• /
• 제26권4호
• /
• pp.227-246
• /
• 2017

Purpose: As the importance of software has been emphasized recently, the size of the software market is continuously expanding. The development of the software market is being adversely affected by software piracy. In this study, we try to classify countries around the world based on the macro environmental factors, which influence software piracy. We also try to identify the differences in software piracy for each classified type. Design/methodology/approach: The data-driven approach is used in this study. From the BSA, the World Bank, and the OECD, we collect data from 1990 to 2015 for 127 environmental variables of 225 countries. Cronbach's ${\alpha}$ analysis, item-to-total correlation analysis, and exploratory factor analysis derive 15 constructs from the data. We apply two-step approach to cluster analysis. The number of clusters is determined to be 5 by hierarchical cluster analysis at the first step, and the countries are classified by the K-means clustering at the second step. We conduct ANOVA and MANOVA in order to verify the differences of the environmental factors and software piracy among derived clusters. Findings: The five clusters are identified as underdeveloped countries, developing countries, developed countries, world powers, and developing country with large market. There are statistically significant differences in the environmental factors among the clusters. In addition, there are statistically significant differences in software piracy rate, pirated value, and legal software sales among the clusters.

• 복식문화연구
• /
• 제15권1호
• /
• pp.179-192
• /
• 2007

The purpose of this study was to investigate the relationship among fashion retail-entertainment, store image and store loyalty. Two hundred eleven who female college students living near Seoul area participated in this study. Two hundred sample used for data analysis. For data analysis, frequency, factor analysis, correlation analysis and multiple regression analysis were used. The results were as follows: First, fashion retail-entertainment had 4 factors such as shopping environment, sales service, dining facilities, and others. Store image composed of psychological image, merchandise mix, customer service, and advertising exposure. Store loyalty had 3 factors; cognitive loyalty, intentional loyalty, emotional loyalty. Second, retail-entertainment factors had positive influences on store image and store loyalty. Third, store image had positively affected on store loyalty. Based on these results, successful strategies for fashion retail-entertainment business would provide.

• Journal of Biosystems Engineering
• /
• 제30권1호
• /
• pp.45-55
• /
• 2005

Knowledge of the relationship between crop yield and yield-limiting factors is essential for precision farming. However, developing this knowledge is not easy because these yield-limiting factors are interrelated and affect crop yield in different ways. In this study, data for grain yield and yield-limiting factors, including crop chlorophyll content, soil chemical properties, and topography were collected for a small (0.3 ha) rice paddy field in Korea and a large (36 ha) upland corn field in the USA, and relationships were investigated with path analysis. Using this approach, the effects of limiting factors on crop yield could be separated into direct effects and indirect effects acting through other factors. Path analysis provided more insight into these complex relationships than did simple correlation or multiple linear regression analysis. Results of correlation analysis for the rice paddy field showed that EC, Ca, and $SiO_2$ had significant (P<0.1) correlations with rice yield, while pH, Ca, Mg, Na, $SiO_2,\;and\;P_2O_5$ had significant correlations with the SPAD chlorophyll reading. Path analysis provided additional information about the importance and contribution paths of soil variables to rice yield and growth. Ca had the highest direct effect (0.52) and indirect effect via Mg (-0.37) on rice yield. The indirect effect of Mg through Ca (0.51) was higher than the direct effect (-0.38). Path analysis also enabled more appropriate selection of important factors limiting crop yield by considering cause-and-effect relationships among predictor and response variables. For example, although pH showed a positive correlation (r=0.35) with SPAD readings, the correlation was mainly due to the indirect positive effects acting through Mg and $SiO_2$, while pH not only showed negative direct effects, but also negatively impacted indirect effects of other variables on SPAD readings. For the large upland Missouri corn field, two topographic factors, elevation and slope, had significant (P<0.1) direct effects on yield and highly significant (P<0.01) correlations with other limiting factors. Based on the correlation analysis alone, P and K were determined to be nutrients that would increase corn yield for this field. With the help of path analysis, however, increases in Mg could also be expected to increase corn yield in this case. In general, path analysis results were consistent with published optimum ranges of nutrients for rice and com production. We conclude that path analysis can be a useful tool to investigate interrelationships between crop yield and yield limiting factors on a site-specific basis.

• 한국지진공학회:학술대회논문집
• /
• 한국지진공학회 2003년도 추계 학술발표회논문집
• /
• pp.231-238
• /
• 2003

The overstrength factor and the ductility factor are the two important factors that determines response modification factors used in current seismic codes. The objective of this paper is to obtain the overstrength and ductility factors of special concentric braced frames. For this purpose pushover analysis is performed with model structures until the maximum inter-story drift reaches 2.5% of story height. According to the analysis results, the overstrength factors increase as the height of structures decreases and the span length increases. Ductility factors for mid-story structures turns out to be higher than the other structures and span length does not contribute much to ductility factors.