• Journal of Information Technology Services
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• v.17 no.3
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• pp.139-156
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• 2018

Smart tolling, which improved the drawbacks of the existing high-pass system, was developed and built through the Smart Highway R & D project in 2007. In order to successfully introduce and spread Smart Tolling, it is need to analyze factors that affected by intent to use. This study conducted research based on literature studies and empirical studies, and developed a research model to analyze factors affecting the users' intention of smart tolling system based on technology acceptance model (TAM) and value based acceptance model. The main variables of the research model are service characteristics (convenience, reliability), technical characteristics (flexibility, stability), environmental characteristics (switching cost, effectiveness of policy) and intention to use. To test the hypotheses set in this study, frequency analysis, exploratory factor analysis, and confirmatory factor analysis were performed using the SPSS 22.0 program statistical package and AMOSS 18.0. The convenience and reliability presented by service characteristics did not affect the intention to use of smart tolling service.

• Journal of the Korean Society for information Management
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• v.22 no.4 s.58
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• pp.39-59
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• 2005

This study is aimed to evaluate the undergraduate students' information literacy, examine the current level of their capability of using information, and make a evaluation model to develop information literacy. Information literacy consists of six fields information resources, information needs, information search, information analysis, information technology and presentation, and Information ethics. Based on the result of statistic factor analysis, the integrated evaluation model of information literacy, evaluation factor, and evaluation procedure can be suggested based on the instruction guidance.

• Journal of Advanced Marine Engineering and Technology
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• v.25 no.3
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• pp.605-616
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• 2001

Generally, there are two methods in researching internal combustion engines. One is by experimental research and the other is by computer simulation. The experimental research has many merits that researchers can get data for engine performance, but it has also some demerit of cost and time. If there is an engine simulation code with accuracy for the solution, it is very convenient to predict the performance and optimum design value of the engine. In this study, engine performance simulation program has been improved to predict the transient variation of properties of gas in cylinder, intake and exhaust manifolds, There total program code was developed to calculate the pressure, flame factor and turbulent intensity, As a result of present study, the authors could predicted the in-cylinder pressure, intake manifold pressure and the engine performance in various conditions. The authors also could easily prepare the tool if optimum design of manifold and in-cylinder geometry.

• Science of Emotion and Sensibility
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• v.9 no.1
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• pp.19-26
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• 2006

In this research, a theoretical model indicating the influence of fragrance sensibility response on attitude toward and buying intention of scented textile products was tested. On-line survey data was collected from a total of 530 consumers who have used or purchased scented textile products. In results, gender differences were found in the multigroup analysis using Structural Equation Modeling. In the model of females, pleasantness, stimulating, familiarity and congruency of scent affected attitude toward scented textile products while pleasantness was only a factor influencing attitude toward scented textile products in the model of males. In addition, pleasantness was the most important factor for Two genders although males indicated a higher level of buying intention toward scented textile products.

• The Korean Journal of Emergency Medical Services
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• v.21 no.3
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• pp.49-58
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• 2017

Purpose: The purpose of this study was to validate the Moral Intelligence Checklist(MIC) of Borba (2001) modified by Kim et al. (2010) for college students majoring in health. Methods: The MIC survey was performed with 348 college students in Gongju, Chungnam. Initial MIC modified by Kim et al. (2010) consists of 7 factors (empathy, self-control, conscience, kindness, fairness, respect and tolerance) and 42 items. Data were analyzed using confirmatory factor analysis. Results: We finally analyzed with 37 items, because 5 items with estimates level below 0.5 were deleted. The Cronbach's ${\alpha}$ of 7 factors were ranged from .780 to .851. Finally, the model fit of GFI(.805), CFI(.864), RMSEA(.033) was satisfied with confirmatory factor analysis using structural equation model. Conclusion: This MIC model is suggested to be used in development of moral intelligence educational programs.

• The Korean Journal of Ecology
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• v.7 no.3
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• pp.109-118
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• 1983

Near future dynamics of water qualities (nutrient concentration) of the Han River was predicted, based on a mathematical model representing the relationship between the nutrient concentration in th river wagter and environmental factors (population density, land-use types, rock compositions and nutrient accumulation) in the basin. The population density and land-use types were forecasted to change distinctly in the downstream area, especially in Seoul City area in 1985~1990 whereas any environmental factor was not expected to change its level significantly in both upstream and middle reaches areas. It was indicated by the model that the nutrients concentration in the up- and mid-streams would keep its level in future as it was, but it would increase drastially in the downstream area. For the preservation of the water qualities in the downstream at least to keep its level as it was in 1980, practical countermeasures were proposed, based on the assessment of the contribution of each environmental factor to the water qualities.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.618-641
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• 2003

Various quality models using quality factor, quality criteria and metrics have been proposed in order to evaluate quality of software products. However, a customized quality model which is specific to the characteristics of software component is required. In this paper, we propose external quality prediction techniques enable us to predict what external quality the final software product will have by using metrics as with internal attributes of software in development. We also propose a model not only for measuring quality by using metrics but also for applying internal attributes of ISO 9126 into artifacts of software component development.

• Journal of Korean Society of Transportation
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• v.7 no.1
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• pp.19-34
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• 1989

In general, Shopping centers are located in the center of transportation, which induce more traffic concentration than other facilities. As a result, it becomes to one of the aggravating factors of urban ＆ transportation problem such as traffic conjestion, parking problems. Thus, in planning shopping-center, it is desirable that consumer\`s trip pattern is should lie more carefully analyzed in order to alleviate the above problems. This study is aimed at finding the characteristics of shopping tripes and analyzing the choice behavior of shopping center and mode-to-shop. This study has developed a nested logit model in which consumers choose shopping center and mode-to-shop with a sequential structure. The model was estimated using household data from the 1989 May, Seoul metropolitan area and the 18 alternatives of shopping center and 5 mode alternatives. The estimated model have been evaluated and it may be concluded that this model for shopping trips is effective and fesible. The conclusion of this study are as fellows. 1. Out-of-vehicle travel time is more important factor affecting behavior of mode choice than in-vehicle travel time. 2. All of direct-elasticities for mode with respect to the travel time is more elastic than travel cost. 3. Accessibility to shop is more important factor affecting the choice of shopping center than parking space. 4. The value of out-of-vehicle travel time exceeds the value of in-vesicle travel time by 1.64 times.

• Korean Journal of Occupational Health Nursing
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• v.16 no.1
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• pp.78-88
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• 2007

Purpose: The Purpose of this study is to build up model of the emotional labor worker's health. Methods: Data was collected from 230 emotional labor workers from 2 department stores, 2 insurance companies, and 3 hotels located in Seoul and Kyung-gi areas, by the health managers and team leaders. For data analysis, descriptive statistics, pearson correlation, factor analysis and covariance structure analysis were used by SPSS window 10 version and AMOS 4.01. Results: The hypothetical model showed a goodness-of-fit to the empirical data(GFI=0.90, RMR=0.04, NFI= 0.79, PNFI=0.64). Eight out of fifteen paths of the model were accepted, while the other seven paths rejected. : From 'surface acting' to 'health', from 'social support' to 'surface acting', from 'social support' to 'health', from 'factors of organizational culture' to 'surface acting', from 'factors of organizational culture' to 'deep acting', from 'personal factor' to 'social support', from 'factors of organizational culture' to 'social support', from 'routine stress' to 'social support'. In conclusion, it has been confirmed that surface acting and social support were dominating factors to the health of emotional labor workers. Conclusion: In order to manage the health of emotional labor workers, it is imperative to develop a strategy to reduce their surface acting.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.2
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• pp.268-274
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• 2013

Electric discharge machining drill (EDM-drill) is an efficient process for the fabrication of micro-diameter deep metal hole. As there is non-physical contact between tool (electrode) and workpiece, EDM-drill is widely used to machine the hard machining materials such as high strength steel, cemented carbide, titanium alloys. The electro-thermal energy forces the electrode to wear out together with the workpiece to be machined. The electrode wear occurs inside of a machining hole. and It causes hard to monitor the machining state, which leads the productivity and the quality to decrease. Thus, this study presents a methodology to estimated the electrode wear amount while two coefficients (scale factor and shape factor) of the logarithmic regression model are evaluated from the experiment result. To increase the accuracy of estimation model, the linear transformation method is adopted using the differences of initial electrode wear differences. The estimation model is verified through experiment. The experimental result shows that within minute error, the estimation model is able to predict accurately.