• Korean Journal of Health Education and Promotion
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• v.28 no.3
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• pp.67-82
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• 2011

Objectives: The purpose of this study was to identify the factors influencing the stages of exercise behavior change after adjusting for related covariates. Methods: Participants included 362 of fourth to sixth graders in 3 elementary schools in a metropolitan city in Korea. The data were collected using structured questionnaire included Korean Stages of Change Scale for Exercise. Results: Logistic regression results showed that the motivational factors associated with transition from precontemplation to contemplation were cognitive process of change, self-reevaluation, conscious raising; regarding that from contemplation to preparation, cons of the decisional balance; regarding those from preparation to action, behavioral process, counter-conditioning, stimulus control, which were very similar to the results of previous researches subjected other age groups. But, there was no motivational factors associated with from action to maintenance, and self-efficacy had no influence on forwarding stages of change. Conclusions: TTM would be applicable to explain the exercise behavior of some children in Korea, which suggested that it be useful in developing the programs to improve physical activities of Korean school children.

• Journal of Korean Academy of Nursing
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• v.30 no.2
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• pp.366-379
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• 2000

The purpose of this study was to identify causal relationships among variables of transtheoretical model for exercise in the elderly A predictivel model explaining the stage of change was constructed based on a transtheoretical model. Empirical data for testing the hypothetical model was collected from 198 old adults over 60 years old in a community setting in Seoul, Korea in April and May,1999. Data were analyzed by descriptive statistics and correlational analysis using pc-SAS program. The Linear Structural Modeling (LISREL) 8.0 program was used to find the best fit model which predicts causal relationship of variables. The fit of the hypothetical model to the data was X2=132.85. (df=22, p=.000). GFI=.88, NNFI=.35, NFI=.77, AGFI=.59 which was not favorable but the fit of modified model to the data was X2=46.90. (df=27, p=.01).GFI= .95, NNFI=.91, NFI=.92, AGFI=.87) which was more than moderate. The predictable variables of stage of change for exercise of the Korean elderly were helping relationship, self cognitive determination, conversion of negative condition in process of change and efficacy for exercise. These variables explained 68% of stage of change for exercise of the Korean elderly.

• Journal of Korean Academy of Nursing
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• v.35 no.7
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• pp.1410-1419
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• 2005

Purpose: This study identified and compared influential variables on intention and action to quit smoking between adolescent smokers and adult smokers. Methods: For the selection of variables, the transtheoretical theory was used. A survey was conducted with 376 adolescent smokers in 4 high schools and 451 adult smokers in community settings in South Korea. Discriminant analysis was used for data analysis Results: The variables of adolescent smokers that predicted an intention to quit smoking were: smoking temptation, self re-evaluation, counter conditioning and stimulus control. The variables that predicted an action to quit smoking were: self-efficacy for smoking abstinence, pros for smoking, self reevaluation, and self liberation. The variables of adult smokers that predicted an intention to quit were: smoking temptation, pros for smoking, cons for smoking, self reevaluation. The variables that self liberation and predicted an action to quit smoking were: self efficacy for smoking abstinence, smoking temptation, and counter conditioning. Conclusions: Developing stage specific smoking intervention methods based on different ways of how individuals make a decision to quit smoking within their contexts needs to be done.

• Journal of Korean Society of Transportation
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• v.19 no.3
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• pp.115-131
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• 2001

The Purpose of this study is to develop a simulation model for large-scale network with interrupted flow as well as uninterrupted flow. The Cell Transmission(CT) theory is used to simulate traffic flow. Flow transition rules have been newly developed to simulate traffic flows at merging and diverging sections, and signalized intersections. In the model, it is assumed that dynamic OD table is exogenously given. Simulation results for toy network shows that the model can explain queue dynamics not only in signalized intersections of urban arterials, but also in merging and diverging sections of freeway. In case study, the model successfully simulated traffic flows of 145,000 vehicles on CBD network of city of Seoul with 74 traffic zones, 133 signalized intersections among 395 nodes and 1110 links.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2D
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• pp.319-327
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• 2009

In order to estimate accurate position by GPS observations, it is prerequisite to define both of the correct function model and the realistic stochastic model. In the case that un-modeled outliers exist in observations, estimates become biased, and their standard deviations are unable to be used as a measure which represents their accuracy. Hence, such outliers should be appropriately removed from the observations before estimating final solutions, so that the accuracy can be maximized with the improvement of the reliability. For this purpose, this research deals with quality control and quality measure computation algorithms for GPS stand-alone positioning. After theoretical studies, all the algorithms have been implemented and tested with real observations. Results of the tests indicate that the reliability of the estimated position is improved by increasing redundancy as well as using good satellite geometry and more realistic stochastic model. Moreover, the adaptation of the quality control procedure enable to improve positioning reliability and accuracy by appropriately excluding outlier in observations.

• Journal of Digital Convergence
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• v.9 no.5
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• pp.235-251
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• 2011

Despite the increasing importance of information technology in firms, the extent to which IT governance are established varies widely across the firms. To perform desirably the role of IS needed in most companies, high level of IT governance and the effective management should precede. However, the impacts of such activities and management on the IT governance have not been empirically examined in depth until now. Thus, building on the theory of governance and the institutionalization, the research model and the hypotheses of the study were formed and then empirically tested. The study used a survey of senior IT managers from 108 firms in order to examine hypothesized relationship among the following constructs: strategic alignment, IT governance committee, IT planning, EA, PMO, SLM, IT compliance, incident management, IS effectiveness, visibility, and corporate performance. A structural equation model is developed by using LISREL to assess the relative effects and interrelationship among these constructs. The results show that strategic alignment has positive influence on IT governance committee and IT planning. IT governance committee, IT planning, SLM, incident management from IT governance activities have positive effects on IS effectiveness, whereas IT compliance has a negative effect on IS effectiveness. Visibility is positively influenced by IT planning, EA, SLM. IT compliance, and both IS effectiveness and visibility have positive effects on corporate performance.

• Journal of Korean Society of Transportation
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• v.20 no.1
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• pp.55-63
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• 2002

It has been known well that Traffic Conflict Technique(TCT) used to evaluate the safety of intersections in the case of shortage of traffic accidents data and surveying time. Because data for using in traffic conflict technique that is collected by trained surveyors, it is rely on the knowledge, experience and the characteristics of them. The data of surveying generate varying result. So, its variance must minimize and then it is considered of calculating in traffic conflict technique however obviously technique to minimize has not developed until now. So, this paper has a focus on the technical method to minimize the variance. For this, it applied the fuzzy reasoning theory to the existed traffic conflict technique that is the most comprehensive method in the country and then developed the new traffic conflict technique model. Fuzzy reasoning theory is a very appropriate method for minimizing the variance among surveyors because it can systematically calculate the uncertainty of surveyors by approximation reasoning structure. The result of analysis from pilot study, the new Procedure in this Paper minimized the variance by 53 Percentiles and it increased the value of conversion factor two times than the exited traffic conflict technique. The method proposed in this paper, it can be used for evaluating the safety of intersection, and before and after analysis of improving Project of black spots.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5D
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• pp.597-607
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• 2008

ATIS(Advanced Traffic Information System) provide valuable information as the travel time and traffic congestion, detour, traffic accident information to drivers, so it is being in the spotlight. But so far, the study on the consumer satisfaction with providing traffic information is incomplete. So, this study run a Canonical discriminant analysis and a Canonical correlation analysis by a QuantificationIItheory based on a Traffic Information Satisfaction image data through questionnaires, and found out the factors with influence on the consumer satisfaction. And this study definitely found out the correlation between consumer's recognition and traffic information satisfaction through understanding the change on the recognition about traffic information satisfaction by a QuantificationItheory. Finally, this study found out the change on the sensibility recognition of drivers by running the principal component anlysis, developed the traffic information satisfaction evaluation model considering the change on the recognition by using the structural equation model.

• Journal of the Earthquake Engineering Society of Korea
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• v.6 no.5
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• pp.1-17
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• 2002

Prognostic characteristics of hypothetical tsunamis in the East Sea are further discussed based on numerical simulations using linear long wave theory than the last paper(Choi et al). As for choice of source zones, we used 28 cases based on fault parameters of hypothetical earthquakes and 76 cases based on simple initial surface shapes of tsunamigenic earthquakes selected by the seismic gap theory. As a result, the wave heights along the whole coastline adjacent to the East See of tsunamis due to these hypothetical earthquake are presented. Analyses also lead us to conclude that the selection of geographical zones with low risk of tsunamis can be used as a tool for coastal disaster mitigation planning.

• Journal of Korean Society of Transportation
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• v.27 no.2
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• pp.117-131
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• 2009

When most drivers take to the freeway, they don't necessarily pay attention to the geometric design. They expect proper design by depending on their own senses and recognition. When they evaluate the features of traveling on the freeway, they can think differently than engineers. The design needs to predict the exact speed of the driver to satisfy the driver's expectation, safety, pleasure and so on. This study categorized the factors influencing the speed of six freeways considering geometric and operational features to make a prediction model of speed. The model used multiple regression with these factors and produced statically appropriate results. This study utilized the principle component analysis and the quantification II analysis based on the image data of the satisfaction of the traveling environment collected through individual interviews. As a result, this study found the factors of satisfaction in a traveling environment. It made a satisfaction model of the traveling environment on freeways considering the change of driver's actual recognition and societal recognition using structural equations and the quantification II theory. Through the model made in this study, This model can present not only qualitative factors like satisfaction of traveling environment on freeways, but also the quantitative elements like speed. What is important is the evaluation of features of traveling on freeways reflected in the recognition and traffic environment felt by drivers.