• Journal of Korean Academy of Fundamentals of Nursing
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• v.8 no.3
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• pp.391-401
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• 2001

Purpose: The purpose of this study was to identify variables that influence smoking cessation based on the transtheoretical model. Methods: Variables that influence the stages of change in smoking cessation were selected based on transtheoretical model. Data were collected from 176 men aged 30-64 who smoked, Data collection was done in community settings in Seoul and vicinity, Korea between December, 1999 and June, 2000. Data were analyzed by descriptive statistics and logistic analysis using the pc-SAS program. Results: According to the logit model, the influence of significant variables on stage of change for smoking cessation suggest that ; When the scores for Pros in decision making for smoking cessation are high, the possibility that the subjects are in the action, precontemplation and contemplation stage of change will be lower than the possibility that the subjects are in the maintenance stage of change. When the scores of habitual craving in smoking temptation is high, the possibility that the subjects are in the precontemplation and contemplation stage of change will be higher than the possibility that the subjects are in the maintenance stage of change. When the scores of smoking temptation in negative affect situations are high, the possibility that the subjects are in the contemplation stage of change will be higher than the possibility that the subjects are in the maintenance stage of change. When the scores of cognitive process in the process of change are high, the possibility that the subjects are in the contemplation stage of change will be higher than the possibility that the subjects are in the maintenance stage of change. Conclusions : The results provide evidence that physical and psychological dependence on smoking are main barriers to smoking cessation. Therefore nursing interventions based on stage that focus on increasing motivation and intention for smoking cessation need to be developed.

• Journal of Korean Society for Atmospheric Environment
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• v.28 no.5
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• pp.556-570
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• 2012

The Low Carbon Path Calculator is an excel-based model to project greenhouse gas emissions from 2009 to 2050, which is based on the 2050 Pathways Calculator developed by the UK Department of Energy and Climate Change (DECC). Scenarios are developed to reduce GHG emissions in Korea at 50% based on 2005 levels by 2050 using a Low Carbon Path Calculator. They were classified in four different cases, which are high renewable, high nuclear, high CCS and mixed option scenarios. The objectives of this study are to compare scenarios in terms of GHG emissions, final energy, primary energy and electricity generation and examine the usefulness of that model in terms of identifying pathways towards a low carbon emission society. This model will enhance the understanding of the pathways toward a low carbon society and the level of the climate change policy for policy makers, stakeholders, and the public. This study can be considered as a reference for developing strategies in reducing GHG emissions in the long term.

• International Journal of Highway Engineering
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• v.16 no.4
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• pp.127-134
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• 2014

PURPOSES : To operate more efficient traffic management system, it is utmost important to detect the change in congestion level on a freeway segment rapidly and reliably. This study aims to develop classification method of congestion change type. METHODS: This research proposes two classification methods to capture the change of the congestion level on freeway segments using the dedicated short range communication (DSRC) data and the vehicle detection system (VDS) data. For developing the classification methods, the decision tree models were employed in which the independent variable is the change in congestion level and the covariates are the DSRC and VDS data collected from the freeway segments in Korea. RESULTS : The comparison results show that the decision tree model with DSRC data are better than the decision tree model with VDS data. Specifically, the decision tree model using DSRC data with better fits show approximately 95% accuracies. CONCLUSIONS : It is expected that the congestion change type classified using the decision tree models could play an important role in future freeway traffic management strategy.

• Ocean and Polar Research
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• v.37 no.4
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• pp.357-368
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• 2015

This study analyzed structural changes and asymmetry of price volatility during the period before and after a point of structural change in price volatility, using the Korean fresh common squid daily retail price data from January 1, 2004 to September 30, 2015. This study utilized the following analytical methods: the unit-root test was applied to ensure the stability of the data, the Quandt-Andrews breakpoint test was applied to find the point of structural change, and the Glosten-Jagannathan-Runkle GARCH and EGARCH models were applied to investigate the asymmetry of price volatility. The empirical results of this study are as follows. First, ADF, PP, KPSS and Zivot-Andrews tests showed that the daily retail price change rate of the Korean fresh common squid differentiated by logarithm was stable. Secondly, the ARIMA (2,1,2) model was selected by information criteria such as AIC, SC, and HQ. Thirdly, the Quandt-Andrews breakpoint test found that a single structural change in price volatility occurred on June 11, 2009. Fourthly, the Glosten-Jagannathan-Runkle GARCH and EGARCH models showed that estimates of coefficients within the models were statistically significant before and after structural change and also that asymmetry as a leverage effect existed before and after structural change.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2011.11a
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• pp.16-18
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• 2011

Evaluation of climate change on the rice productivity was conducted using crop growth simulation model, where Odae, Hwaseong, Ilpum were used as a representative cultivar of early, medium, and medium-late rice maturity type, respectively, and climate change scenario 'A1B' was applied to weather data for future climate change at 57sites. When cropping season was fixed, rice yield decreased by 4~35% as climate change which was caused by poor filled grain ratio with high temperature and low irradiation during grain-filling. When cropping season was changed, rice yield decreased by only 0~5% as climate change which was caused poor filled grain ratio with low irradiation during grain-filling period. However, this irradiation decline was less than when cropping season was fixed. Therefore, we need to develop rice cultivars resistant to low irradiation which can maintain high filled grain ratio under poor irradiation condition, and late maturity rice cultivars whose growing period is longer than the present medium-late maturity type.

• Korean Journal of Agricultural Science
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• v.48 no.2
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• pp.311-331
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• 2021

Climate change with extreme hydrological events has become a significant concern for agricultural water systems. Climate change affects not only irrigation availability but also agricultural water requirement. In response, adaptation strategies with soft and hard options have been considered to mitigate the impacts from climate change. However, their implementation has become progressively challenging and complex due to the interconnected impacts of climate change with socio-economic change in agricultural circumstances, and this can generate more uncertainty and complexity in the adaptive management of the agricultural water systems. This study was carried out for the agricultural water supply system in Seongju dam watershed in Seonju-gun, Gyeongbuk in South Korea. The first step is to identify system disturbances. Climate variation and socio-economic components with historical and forecast data were investigated Then, as the second step, problematic trends of the critical performance were identified for the historical and future climate scenarios. As the third step, a system structure was built with a dynamic hypothesis (causal loop diagram) to understand Seongju water system features and interactions with multiple feedbacks across system components in water, agriculture, and socio-economic sectors related to the case study water system. Then, as the fourth step, a mathematical SD (system dynamics) model was developed based on the dynamic hypothesis, including sub-models related to dam reservoir, irrigation channel, irrigation demand, farming income, and labor force, and the fidelity of the SD model to the Seongju water system was checked.

• Journal of The Korean Association For Science Education
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• v.19 no.2
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• pp.305-314
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• 1999

The effects of three teaching models were compared in this research. One of those is concept change model, another is concept change model based on students learning motivations, the other is traditional teaching method based on science textbooks. The subjects of this research were the 8th grade students of Korean middle school. They were divided into three groups, and tested learning motivations. All of the three groups improved their learning motivations and concept understanding by the classes. Especially, the group of concept change model based on students learning motivations represented most effective improvement of learning motivations. The concept change teaching model and concept change teaching model based on students learning motivations are more effective in concept understanding than traditional teaching method based on textbooks. The students who have high learning motivations improved their concept understanding by the classes of concept change model based on students learning motivations. The students who have low learning motivations improved their learning motivations by the classes of concept change model based on students learning motivations also.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2016.09a
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• pp.11-14
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• 2016

• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.6
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• pp.197-204
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• 2003

This paper develops a computer model for estimating the handling of a cabover type large-sized truck. The truck is composed of front and rear suspension systems, a frame, a cab, and ten tires. The computer model is developed using ADAMS. A shock absorber, a rubber bush, and a leaf spring aunt a lot on the dynamic characteristic of the vehicle. Their stiffness and damping coefficient are measured and used as input data of the computer model. Leaf springs in the front and rear suspension systems are modeled by dividing them three links and joining them with joints. To improve the reliability of the developed computer model, the frame is considered as a flexible body. Thus, the frame is modeled by finite elements using MSC/PATRAN. A mode analysis is performed with the frame model using MSC/NASTRAN in order to link the frame model to the computer model. To verify the reliability of the developed computer model, a double lane change test is performed with an actual vehicle. In the double lane change, lateral acceleration, yaw rate, and roll angle are measured. Those test results are compared with the simulation results.

• Journal of Korean Public Health Nursing
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• v.26 no.1
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• pp.147-157
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• 2012

Purpose: The purpose of this study was to identify the related factors of change affecting the stages of change for exercise, on the assumption that there are various stages of change in the exercise behavior of women in nursing college. Methods: The subjects were 496 female college students in D city. The research instruments were stages of change for exercise behavior, the process of change, decisional balance, and self-efficacy. The dates were analyzed by descriptive statistics, ANOVA, and stepwise multiple regression using the SPSS 18.0 program. Results: The distribution of the subjects across the stages was: pre-contemplation, 17.7%; contemplation, 58.7%; preparation, 19.0%; action, 2.8%; maintenance, 1.8%. Analysis of variance showed that cognitive process (F=17.26, p<0.01), behavioral process (F=27.05, p<0.01), the pros of decisional-balance (F=7.07, p<0.01), the cons of decision-balance (F=5.82, p<0.01), and self efficacy (F=17.79, p<0.01) were significantly associated with the change of exercise behavior stages. The related factors of change affecting the change of exercise behavior stage were the cons of decision-making, counter conditioning, self re-evaluation, and body mass index, including 28.4% R-square. Conclusion: The transtheoretical model would be applicable to explain the exercise behavior of some women in nursing college. So, this study will be useful information for developing effective exercise behavior programs considering female students' stages of change.