• Korean Journal of Health Education and Promotion
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• v.20 no.3
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• pp.255-267
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• 2003

The purpose of this study is to analyze the affecting factors on self-efficacy of walking exercise. The subjects were 413 working men. Whose data and material were collected through an organized questionnaire from October, 1999 to May 2000. The major results of this were as follows； 1. 61.1％ of the subjects' major affecting factor was deep sleep, 65.0％ of the subjects' majo affecting facto was regular physical screening, 51.1％ of the subjects' regular exercise, 18.7％ of the subjects' walking exercise. 2. stages of change related to walking exercise of the subjects were as follows, 15.8％ of the subjects were in the precontemplation stage, 51.1％ of the subjects were in the precontemplation stage. 3. The average self-efficacy concerning walking exercise was 3.16 points. 4. With stepwise multiple regression, the most significant factor on self-efficacy related to walking exercise in stages of change was the preparation stage. According to the results of this study, a concrete practice program is needed to promote self-efficacy related walking exercise.

• The Journal of Engineering Geology
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• v.27 no.1
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• pp.31-40
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• 2017

The slope stability analysis by the limit equilibrium method has the disadvantage that it can be applied only when the analysis is performed by setting the critical plane after analyzing the active surface many times and the soil is uniform and only the safety factor can be calculated. However, the analysis using the strength reduction analysis method has advantages that the engineer can judge various aspects and calculate the safety factor. In this study, the safety factor according to the change of slope and shear strength was compared and analyzed using limit equilibrium analysis and strength reduction method. It is suggested that it is desirable to use the strength reduction method which can synthetically review the stress, displacement, and strain in the soil.

• Smart Structures and Systems
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• v.21 no.5
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• pp.705-713
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• 2018

High-speed rail (HSR) has been in operation and development in many countries worldwide. The explosive growth of HSR has posed great challenges for operation safety and ride comfort. Among various technological demands on high-speed trains, vibration is an inevitable problem caused by rail/wheel imperfections, vehicle dynamics, and aerodynamic instability. Ride comfort is a key factor in evaluating the operational performance of high-speed trains. In this study, online monitoring data have been acquired from an in-service high-speed train for condition assessment. The measured dynamic response signals at the floor level of a train cabin are processed by the Sperling operator, in which the ride comfort index sequence is used to identify the train's operation condition. In addition, a novel technique that incorporates salient features of Bayesian inference and time series analysis is proposed for outlier detection and change detection. The Bayesian forecasting approach enables the prediction of conditional probabilities. By integrating the Bayesian forecasting approach with time series analysis, one-step forecasting probability density functions (PDFs) can be obtained before proceeding to the next observation. The change detection is conducted by comparing the current model and the alternative model (whose mean value is shifted by a prescribed offset) to determine which one can well fit the actual observation. When the comparison results indicate that the alternative model performs better, then a potential change is detected. If the current observation is a potential outlier or change, Bayes factor and cumulative Bayes factor are derived for further identification. A significant change, if identified, implies that there is a great alteration in the train operation performance due to defects. In this study, two illustrative cases are provided to demonstrate the performance of the proposed method for condition assessment of high-speed trains.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.367-372
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• 2006

Since 1990's, many enterprises have constructed Integration Information System. Especially, they want to become an advanced company use ERP package. Already, ERP system come to high level which is stabilized and support independent business process of many industry sectors. Therefore, important success factors for ERP project are change management and organization activation. Although most companies had previous good plans, but those are not satisfied. Because of failed to change management and discontinued next activity for promotion. This paper studied success factors of project team and plan for organization activation. Also, it proposed next study subject about investigate the role of the member of task force team as a factor that makes the ERP system a success. The results of this study can be used for a successful construction of the ERP system as a solution about internal problems of Project team.

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.231-242
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• 2006

Since 1990's, many enterprises have constructed Integration Information System. Especially, they want to become an advanced company use ERP package. Already, ERP system come to high level which is stabilized and support independent business process of many industry sectors. Therefore, important success factors for ERP project are change management and organization activation. Although most companies had previous good plans, but those are not satisfied. Because of failed to change management and discontinued next activity for promotion. This paper studied success factors of project team and plan for organization activation. Also, it proposed next study subject about investigate the role of the member of task force team as a factor that makes the ERP system a success. The results of this study can be used for a successful construction of the ERP system as a solution about Internal problems of Project team.

• Communications for Statistical Applications and Methods
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• v.10 no.3
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• pp.981-996
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• 2003

Bayesian inference is considered for switching mean models with the ARMA errors. We use noninformative improper priors or uniform priors. The fractional Bayes factor of O'Hagan (1995) is used as the Bayesian tool for detecting the existence of a single change or multiple changes and the usual Bayes factor is used for identifying the orders of the ARMA error. Once the model is fully identified, the Gibbs sampler with the Metropolis-Hastings subchains is constructed to estimate parameters. Finally, we perform a simulation study to support theoretical results.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.4
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• pp.47-52
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• 2008

Important factor in designing a breakaway sign support is the velocity change of the impact vehicle. It is measured from the crash test or can be calculated by 3-D Finite Element Analysis. It can also be calculated with relative ease utilizing energy and momentum conservation. In this paper a formula to calculate the velocity change of a car during the time of impact against a small sign is derived utilizing the energy and momentum balance. Using the formula, parametric studies were conducted to find that impact speed, separation force and Breakaway Fracture Energy(BFE) of the posts which represent the degree of fixedness to the foundation are the important factor to vehicle's speed change. It is shown that speed change is larger in the lower speed impact and to the posts with large separation force and BFE.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.262-264
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• 2002

This paper describes the proposed application of MLF(marginal loss factor) in korean wholesale electricity market in accordance with the proposal of wholesale market design, and presents the analysis result of the impact of MLF change on the electric power trading when the reference node for the MLF calculation is changed.

• Journal of Agricultural Extension & Community Development
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• v.16 no.3
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• pp.557-586
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• 2009

The objective is to find the classification criteria between urban and rural, and to classify the urban and rural area all the country in Korea. For the research objectives, reviews of related literature and statistical yearbooks were used for finding criteria and analysing data. Through reviewing the literature, some indicators were selected in views of rurality and urbanity, and gathered the data from statistical yearbooks. And factor analysis was used to find first and second factor for classifying region. Six factors as a city surrounding(36%), non-farmer household population ratio(28.1%), cultivated acreage(12.48%), agricultural production surrounding (12.40%), the farm family number change(5.58%) and household number rise and fall(5.54%) were finding. And rurality factors were cultivated acreage, agricultural production surrounding, the farm family number change and household number rise and fall, and urbanity factors were city surrounding and non-farmer household population ratio. Based on the first and second factor loaded amount, four type regional classification was followed.

• Journal of Technology Innovation
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• v.15 no.2
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• pp.1-24
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• 2007

In this study, we estimated a CES production function for the Korean economy. We have found in the empirical results that the elasticity of the factor substitution is less than one and that the Korean economy exhibits labor-saving technological progress. In addition, we obtained the regression coefficient of R&D investment on technological change, i.e., the elasticity of R&D investment with respect to the technological change was 0.26% point. It implies that if R&D stock increases by 1%, labor efficiency increases 0.26% point through technological progress which is Hicksian non-neutral. It confirms that innovation-based growth strategy by increasing R&D investment would be effective on the one hand. Some policy consideration on the other might be needed for an increase in employment which is offset by technological progress.