• Korean Institute of Interior Design Journal
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• v.21 no.5
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• pp.181-188
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• 2012

Body movements of humans have emotions and these movements have meanings of 'Living Spirits' and 'Emotions'. Also emotions of humans indicate all body movements which are made within the environment. This study aims at providing new potentials to emotional design research methods not only by understanding the characteristics of visual perception according to body movements and but by investigating correlations between sequence which arise by the visual perception and emotions through experiments. As for the scope and method of this study, the emotional space designs were analyzed through the emotional theory study, SD method was used to evaluate emotions and the movements in the modern village and traditional village with similar elements were compared and analyzed for the empirical study. As a result, first it was confirmed waling hours in the traditional village took more than the modern village and it is thought movements of humans are affected by the visual environments. Second, it was confirmed values of the emotional evaluation were higher in the traditional village than the modern village. Third, according to a result of the correlation analysis between space sequence and emotions, it was closed with negative emotions such as 'Closed', and 'Complicated' from positive emotional words such as 'Natural'. 'Open', 'Curious', etc. as spaces are experienced more through movements in the modern village. On the contrary, the emotional intensity of the positive words such as 'In Harmony', 'Beautiful' and 'Warn' through movements in the traditional village increased as spaces were experienced more. As a result of this study, it was confirmed the time, space and emotions have correlations each other.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.2
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• pp.152-162
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• 2015

This study investigates the effects on job satisfaction and job stress according to teacher efficacy and coping in child care center teachers. The subjects of study were exactly 237 child care teachers and child care center located in Ulsan City ${\bigcirc}$ gun. from September 7 to October 20, 2014 data were collected through a questionnaire. The statistical analysis was performed in order to analyze t-test, one-way analysis of variance, correlation analysis, confirmatory factor analysis and structural equation using SPSS WIN 21.0 and Amos 21.0 program. In addition, the empirical analysis was verified at the 5% significance level.First, teacher efficacy can be seen high when job satisfaction is remarkably high as a result of the analysis econd, know that job satisfaction is mostly lower when a job stress is higher Implications of this study are thought to improve the working environment and to be going to be the base line data for welfare improvement of the child care teacher.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4296-4302
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• 2013

The objective of this study is to examine the motivation for renaming and the self-perception scale attained after renaming. The survey was conducted targeting 161 individuals across the country from April 1 to May 31, 2013. The analyzing methods include frequency analysis, correlation analysis, t-test, one-way ANOVA analysis and stepwise regression analysis, etc. All of the empirical analysis was verified at the 5% level of significance. According to the result of analysis, the renamed individuals scored higher on the success scale, the emotional scale and the personality scale after renaming. The study found that the individuals, who adopted a new name as per their own desire, scored significantly higher on the self perception scale. The study will serve as a reference material for persons who desire a new name, based on its result that the greatest motivation for renaming is the "desire to have a good name" and that the biggest changes accompanying the new name are the self confidence and satisfaction which have helped the renamed individuals score higher on the self-perception scale after renaming.

• Journal of Information Processing Systems
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• v.14 no.3
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• pp.751-770
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• 2018

Web applications are indispensable in the software industry and continuously evolve either meeting a newer criteria and/or including new functionalities. However, despite assuring quality via testing, what hinders a straightforward development is the presence of defects. Several factors contribute to defects and are often minimized at high expense in terms of man-hours. Thus, detection of fault proneness in early phases of software development is important. Therefore, a fault prediction model for identifying fault-prone classes in a web application is highly desired. In this work, we compare 14 machine learning techniques to analyse the relationship between object oriented metrics and fault prediction in web applications. The study is carried out using various releases of Apache Click and Apache Rave datasets. En-route to the predictive analysis, the input basis set for each release is first optimized using filter based correlation feature selection (CFS) method. It is found that the LCOM3, WMC, NPM and DAM metrics are the most significant predictors. The statistical analysis of these metrics also finds good conformity with the CFS evaluation and affirms the role of these metrics in the defect prediction of web applications. The overall predictive ability of different fault prediction models is first ranked using Friedman technique and then statistically compared using Nemenyi post-hoc analysis. The results not only upholds the predictive capability of machine learning models for faulty classes using web applications, but also finds that ensemble algorithms are most appropriate for defect prediction in Apache datasets. Further, we also derive a consensus between the metrics selected by the CFS technique and the statistical analysis of the datasets.

• The Journal of Information Technology
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• v.3 no.3
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• pp.89-102
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• 2000

The purposes of this research are to analyze information contents of net book value and earnings. If investors use Net book value and earnings to their investment strategies, These informations are positively to be correlated with future corporate value. Research methodologies applied are theoretical and empirical ones. Results of the study are as follows: First, as investors form their investment portfolios, PBR and ROE are good indicator in finding out undervalued and overvalued corporation. Second, present earnings are differently reflected in future stock prices. Price-earnings correlation of undervalued corporations are higher than that of overvalued ones. Results of this study imply that Investors can utilize net book value and earnings to their investment strategies.

• Journal of Intelligence and Information Systems
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• v.11 no.2
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• pp.17-29
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• 2005

The purpose of the study was to explore the potential of the Social Network Analysis as an analytical tool for scientific investigation of learner-learner, or learner-tutor interaction within a Computer Supported Corporative Learning (CSCL) environment. Theoretical and methodological implication of the Social Network Analysis had been discussed. Following theoretical analysis, an exploratory empirical study was conducted to test statistical correlation between traditional performance measures such as achievement and team contribution index, and the centrality measure, one of the many quantitative measures the Social Network Analysis provides. Results indicate the centrality measure was correlated with the higher order teaming performance and the peer-evaluated contribution indices. An interpretation of the results and their implication to instructional design theory and practices were provided along with some suggestions for future research.

• Information Systems Review
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• v.17 no.3
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• pp.183-202
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• 2015

In recent years, various Social Network Service (SNS) is emerging as a new means of communication were enjoying a lot of popularity among consumers. Accordingly, an online word-of-mouth marketing through the SNS is prevalent. At this moment, the majority of companies selects the SNS used as resources of online word-of-mouth marketing on the assumption that the more a SNS is popular (followers or visitors based), the more it has an influence. In addition, the existing studies about the popularity or influence on the SNS were not distinguish them separately. The former researchers used popularity mixed with Influence. Therefore, this study, we have conducted a survey with people in their twentieswho use SNS most to do an empirical analysis of the relationship between popularity and Influence on the SNS. According to the results of this study, it has a weak correlation between popularity and Influence. So, it is necessary to distinguish between popularity and influence.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.2
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• pp.86-97
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• 2006

From the mid 1990's, the scale of IS had been growing, which resulted in increasing number of failure projects. As a result, the measurement of IS performance was a growing concern. Moreover, the need for research on the relation between IT investment and performance that isfd the concern of CEOs has been raised. In this study, the correlation between the IS functionality and investment was discovered based on the IS success model suggested by DeLone & McLean(1992), a business information system evaluation model by Lee Kuk Hie(1992), a balanced score card by Kaplan & Norton(1992). As a result of the LISREL analysis, the investment in the IS has a positive impact on the quality of both information systems and information. In turn, the quality of both information systems and information have a positive impact on the end-user satisfaction, the end-user satisfaction on the financial performance, customer satisfaction, and internal business processes. This study showed that sufficient investment in IS improved business performance

• Korean Journal of Community Nutrition
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• v.8 no.1
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• pp.53-61
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• 2003

This study was designed to explain the intentions and consumption of dairy foods among university female students. The factors related to intentions of consumption or actual consumption of dairy foods were identified within the theory of planned behavior. The survey questionnaire, developed using open-ended questions (n=35) , was administered to university female students (n:184) Subjects completed information regarding attitudes, subjective norms, perceived control, intentions and consumption of dairy foods. Correlation analysis and multiple regression were used to study the association of factors with intentions and consumption of dairy foods. Subjects showed relatively low intention to consume dairy foods (-0.4 $\pm$ 1.6 from a scale of -4-14). They ate 1.2 $\pm$ 0.9 servings of dairy foods a day and 52.2% of subjects had less than a serving a day, showing inadequate consumption of dairy foods. All three factors, attitudes, subjective norms and perceived control were significantly correlated to the intentions to take dairy foods regularly (r : 0.26-0.27) . Multiple regression results, however, revealed that subjective norms (p < 0.01) and perceived control (p < 0.05) contributed to the model of explaining intentions, while attitudes did not (model $R^2$ : 0.154) . To predict and explain actual consumption of dairy foods, two regression models were examined. In the first model, perceived control was significant in predicting dairy foods consumption, while attitudes and subjective norms were not. In the second model, intentions and perceived control were significantly related to actual consumption of dairy foods, providing the empirical evidence of the theory (model $R^2$: 0.121) These results suggest that perceived control was significant in explaining actual behavior as well as intentions. This study suggests that nutrition education to increase dairy foods consumption for young adults should focus on increasing perception of control and eliciting social support from respected others.

• Korea Real Estate Review
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• v.24 no.1
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• pp.7-14
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• 2014

This study, as the temporal and spatial data for the real price apartment in Seoul from January 2006 to June 2013, empirically compared and analyzed the estimation result of apartment price using OLS by hedonic price model for the problem of space-time correlation, temporal autoregressive model (TAR) considering temporal effect, spatial autoregressive model (SAR) spatial effect and spatiotemporal autoregressive model (STAR) spatiotemporal effect. As a result, the adjusted R-square of STAR model was increased by 10% compared that of OLS model while the root mean squares error (RMSE) was decreased by 18%. Considering temporal and spatial effect, it is observed that the estimation of apartment price is more correct than the existing model. As the result of analyzing STAR model, the apartment price is affected as follows; area for apartment(-), years of apartment(-), dummy of low-rise(-), individual heating (-), city gas(-), dummy of reconstruction(+), stairs(+), size of complex(+). The results of other analysis method were the same. When estimating the price of real estate using STAR model, the government officials can improve policy efficiency and make reasonable investment based on the objective information by grasping trend of real estate market accurately.