• Journal of Fisheries and Marine Sciences Education
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• v.27 no.2
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• pp.476-487
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• 2015

The purpose of this study was to analyze students' creative personality within creativity personality model schools and public schools in order to investigate effects on of the management of Creativity Personality Model School. The objects of this study were different 4~6th grade classes in two Elementary schools located in Gyeongsangnam-do G city. The experimental group was composed of 301 students Y Elementary school and the comparative group was composed of 231 students G Elementary school. Before carrying out the study, both groups took the preliminary examination about their creative personality. After three months, the experiment group and the comparison group took the post examination to compare and analyze the results. The results of this study were as follows: It was observed that the management of Creativity Personality Model School would have meaningful effects to improve the creative personality of students. A important factor was that operated a variety program of creative personality, such as 'Rainbow School' and 'Rainbow Experiential learning'. Through this study, it seemed to conclude that the management of Creativity Personality Model School was more effective on improving students' creative personality.

• Korean Journal of Environmental Biology
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• v.35 no.1
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• pp.37-46
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• 2017

Climate change is the biggest concern of the $21^{st}$ century. Greenhouse gas (GHG) emissions from various sectors are attracting attention as a cause of climate change. The DeNitrification-DeComposition (DNDC) model simulates GHG emissions from cropland. To study future GHG emissions using this simulation model, various factors that could change in future need to be considered. Because most problems are from the agricultural sector, DNDC would be unable to solve the factor-changing problem itself. Hence, it is necessary to link DNDC with separate models that simulate each element. Climate change is predicted to cause a variety of environmental disasters in the future, having a significant impact on the agricultural environment. In the process of human adaptation to environmental change, the distribution and management methods of farmland will also change greatly. In this study, we introduce some drawbacks of DNDC in considering future changes, and present other existing models that can rectify the same. We further propose some combinations with models and development sub-models.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.247-263
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• 2016

The purpose of the study is to derive success factors of B2C reverse auction business model, a business model contributes to the recent innovative practices in e-commerce and service sector. Electronic reverse auction has been traditionally used to ensure the procurement convenience and purchasing efficiency in B2B or B2G settings, however, e-RA is now expanding its basis toward B2C commerce industry along the huge success of an online e-RA travel service provider Priceline.com. Recently, B2C e-RA business model is getting the spotlight in the Korean venture industry with a variety of startups in diverse areas. However, e-RA does not work perfect in all kinds of trade settings. Therefore, we conducted a multiple case study to find out the success factors of B2C business model as follows : First, large supplier basis is an important factor that constructs a quasi-perfect competition environment. Second, the high online and mobile accessibility or e-readiness of Korean consumers was also a critical aspect of the success of e-RA. Lastly, e-RA performs best when the supplier switching cost is low and the trading occurs infrequently.

• Journal of Korean Academy of Nursing
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• v.46 no.5
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• pp.663-674
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• 2016

Purpose: The purposes of this study were to develop and test a prediction model for caregiving experiences including caregiving satisfaction and burden in dementia family caregivers. Methods: The stress process model and a two factor model were used as the conceptual frameworks. Secondary data analysis was done with 320 family caregivers who were selected from the Seoul Dementia Management Survey (2014) data set. In the hypothesis model, the exogenous variable was patient symptomatology which included cognitive impairment, behavioral problems, dependency in activity of daily living and in instrumental activity of daily living. Endogenous variables were caregiver's perception of dementia patient's unmet needs, caregiving satisfaction and caregiving burden. Data were analysed using SPSS/WINdows and AMOS program. Results: Caregiving burden was explained by patient symptomatology and caregiving satisfaction indicating significant direct effects and significant indirect effect from unmet needs. The proposed model explained 37.8% of the variance. Caregiving satisfaction was explained by patient symptomatology and unmet needs. Mediating effect of unmet needs was significant in the relationship between patient symptomatology and caregiving satisfaction. Conclusion: Results indicate that interventions focusing on relieving caregiving burden and enhancing caregiver satisfaction should be provided to caregivers with high levels of dementia patients' unmet needs and low level of caregiving satisfaction.

• Journal of Korean Academy of Nursing
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• v.47 no.2
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• pp.211-221
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• 2017

Purpose: This study was done to develop and test a structural model on smoking cessation intention in technical high school men. The conceptual model was based on the theory of reasoned action and health promotion model. Methods: From May 29 to April 13, 2015, 413 technical high school students who smoked completed a structured questionnaire. Data were analyzed to calculate the direct and indirect effects of factors affecting smoking cessation intention. The SPSS WIN 20.0 and AMOS 21.0 programs were used. Results: The hypothetical model was a good fit for the data. The model fit indices were $x^2/df=2.36$, GFI=.95, AGFI=.92, NFI=0.97, and RMSEA=.05. Self-esteem had direct and indirect effects on smoking cessation intention. Attitude, subjective norm, and self-efficacy had direct effects on smoking cessation intention. Smoking knowledge and environmental factor had indirect effects on smoking cessation intention. This model explained 87.0% of the variance in smoking cessation intention. Conclusion: These results indicate that technical high school students' intention to stop smoking can be improved through an increase in self-esteem, negative environmental factors, attitude toward smoking cessation, subjective norm about smoking cessation, and self-efficacy for smoking cessation.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.24 no.2 s.173
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• pp.506-517
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• 2000

One dimensional performance model has been used for the design of torque converter. The model is based on the concept of constant mean flow path and constant flow angle. These constant-assumed para meters make the design procedure to be simple. In practice, some parameters are usually replaced with geometric raw data and, the constant experiential correction factors have been used to minimize the design error. These factors have no definite physical meaning and so they cannot be applied confidently to the other design condition. In this study, the detail dynamic model of torque converter is presented to establish the theoretical background of correction factors. To verify the validity of theoretical model, steady state performance test was carried out on the several input speed. The oil temperature effect on the performance is analysed and adjusted. The constant equivalent flow angles are determined at a part of performance region by comparing the theoretical model and the test data. The sensitivity of correction factors to the input speeds are studied and the change of torus flow is presented.

• Biomedical Science Letters
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• v.21 no.2
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• pp.51-59
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• 2015

A humanized mice (hu-mice) model is extremely valuable to verify human cell activity in vivo condition and is regarded as an important tool in examining multimodal therapies and drug screening in tumor biology. Moreover, hu-mice models that simply received human $CD34^+$ blood cells and tissue transplants are also overwhelmingly useful in immunology and stem cell biology. Because generated hu-mice harboring a human immune system have displayed phenotype of human $CD45^+$ hematopoietic cells and when played partly with functional immune network, it could be used to evaluate human cell properties in vivo. Although the hu-mice model does not completely recapitulate human condition, it is a key methodological factor in studying human hematological malignancies with impaired immune cells. Also, an advanced humanized leukemic mice (hu-leukemic-mice) model has been developed by improving immunodeficient mice. In this review, we briefly described the history of development on immunodeficient SCID strain mice for hu-and hu-leukemic-mice model for immunologic and tumor microenviromental study while inferring the potential benefits of hu-leukemic-mice in cancer biology.

• Journal of Ocean Engineering and Technology
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• v.20 no.5 s.72
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• pp.49-56
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• 2006

In this thesis, centrifuge model experiments and numerical analyses were carried out to investigate the behavior of an excavated slope in soft clay ground. Centrifuge model tests were performed with various slopes for the excavated ground, such as 1:1.5 and 1:2. Pore pressuresthe model ground were measured to find their effects on the stability of the excavated slope. These experiments showed that the model with 1:2.5 maintained its stability within a short period of time and failed gradually. Therefore, anexcavated slope of soft soil with this slope might maintain stable conditions within a certain time. The mode1 with a 1:3 slope was observed to maintain a very stable condition, showing insignificant deformation in the ground after being excavated. Numerical analyses with PLAXIS, a commerciallyavailable software implemented with the finite element numerical technique, were performed to find the pore pressure distribution within the ground mass and the deformation of the soil. From the results of numerical analysis, a negative pore pressure was developed after the excavation and thus the stability of the slope was maintained. The safety factor for slope failure was found to decrease with time because of the dissipation of negative pore pressure with time.

• Industrial Engineering and Management Systems
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• v.7 no.2
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• pp.160-170
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• 2008

This paper proposes a mathematical model for converting conveyor assembly line to cellular manufacturing in complex production environments. Complex production environments refer to the situations with multi-products, variant demand, different batch sizes and the worker abilities varying with work stations and products respectively. The model proposed in this paper aims to determine (1) how many cells should be formatted; (2) how many workers should be assigned in each cell; (3) and how many workers should be rested in shortened conveyor line when a conveyor assembly line should be converted, in order to optimize system performances which are defined as the total throughput time and total labor power. We refer the model to a new production system. Such model can be used as an evaluation tool in the cases of (i) when a company wants to change its production system (usually a belt conveyor line) to a new one (including cell manufacturing); (ii) when a company wants to evaluate the performance of its converted system. Simulation experiments based on the data collected from the previous documents are used to estimate the marginal impact that each factor change has had on the estimated performance improvement resulting from the conversion.

• Journal of the Korea Institute of Military Science and Technology
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• v.18 no.2
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• pp.167-172
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• 2015

In this paper, we have compared some radio propagation models in order to verify the performance of W.C.Y LEE propagation model in mountain area. The four propagation models, which are Okumura-Hata, ITU-R P.525, Egli and W.C.Y. LEE, are analyzed by comparing the differences between measured values and propagation loss estimation values. And a correction method for W.C.Y LEE model is suggested to improve the performance of W.C.Y. LEE model with measured data in mountain area. Simulation results show that the estimation error using W.C.Y LEE model is the lowest among four propagation models. Also, the results show that the corrected W.C.Y LEE model with suggested method improves the performance of propagation loss estimation.