• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.3
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• pp.341-350
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• 2013

Purpose: This study was done to identify the relationship among ego resilience, the problem solving process and clinical competency in nursing students. Methods: Data were collected by questionnaires from 265 nursing students in D city. Measures were ego resilience, problem solving process and clinical competency. Data was analyzed using frequency analysis, t-test, one-way ANOVA, person's correlation coefficients, and multiple regression analysis with SPSS/WIN 19.0 version. Result: The Ego resilience score of subjects was 2.80 out of a perfect score of 4, the problem solving process score of subjects was 3.12, and the clinical competency score of subjects was 3.49 out of a perfect score of 5. There was a significant positive correlation among ego resilience, problem solving process and clinical competency. The significant predictors of problem solving process and clinical competency were ego resilience. Conclusion: These findings indicate that there is a need to increase ego resilience to improve the problem solving process and clinical competency of nursing students. The results should be reflected in the development of effective curricula.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.1
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• pp.159-171
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• 2003

In this paper, same parts of a domestic automobiles and foreign automobiles are disassembled fur the evaluation of disassemblability, especially door trim and bumper. Influencing factors of disassembly are determined by the classification of bottleneck process in disassembly process. On the bases of disassembly sequence and structure of parts and subassembly, disassemblability is classified into aye categories. The influencing factors, which are related with the five categories are determined. By these relations, the checklist for disassembly evaluation is draw up and score tables of checked factors are established. For the establishing the disassembly score tables, the weighting values of each five categories are calculated by the disassembly test of automobiles and then, the weighting values of each influencing factors of five categories are calculated by the method of AHP (Analytic Hierarchy Process). And the last, the weighting values are modified and recalculated from the disassembly test. Using these weighting values, the score of influencing factors are determined and then, the score tables are established based on the score of influencing factors.

• Communications for Statistical Applications and Methods
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• v.9 no.3
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• pp.753-763
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• 2002

When there is one change-point in the hazard rate model, a change-point estimator with the partial score process is suggested and compared with the previously developed estimators. The limiting distribution of the partial score process we used is a function of the Brownian bridge. Simulation study gives the comparison of change-point estimators.

• Journal of the Korean Statistical Society
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• v.26 no.1
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• pp.117-130
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• 1997

We study the asymptotic behavior of the maximum partial likelihood estimator in the Cox proportional hazards model in the presence of nuisance parameters when the entry of patients is staggered. When entry of patients is simultaneous and there is only one regression parameter in the Cox model, the efficient score process of the partial likelihood is martingale and converges weakly to a time-chnaged Brownian motion. Our problem is to get a similar result in the presence of nuisance parameters when entry of patient is staggered.

• IE interfaces
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• v.24 no.4
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• pp.323-329
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• 2011

We develop a stochastic model to predict the score of a soccer match. We describe the scoring process of the soccer match as a markovian arrival process (MAP). To do this, we define a two-state underlying Markov chain, in which the two states represent the offense and defense states of the two teams to play. Then, we derive the probability vector generating function of the final scores. Numerically inverting this generating function, we obtain the desired probability distribution of the scores. Sample numerical examples are given at the end to demonstrate how to utilize this result to predict the final score of the match.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.4
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• pp.332-339
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• 2014

Face classification has wide applications in security and surveillance. However, this technique presents various challenges caused by pose, illumination, and expression changes. Face recognition with long-distance images involves additional challenges, owing to focusing problems and motion blurring. Multiple frames under varying spatial or temporal settings can acquire additional information, which can be used to achieve improved classification performance. This study investigates the effectiveness of multi-frame decision-level fusion with photon-counting linear discriminant analysis. Multiple frames generate multiple scores for each class. The fusion process comprises three stages: score normalization, score validation, and score combination. Candidate scores are selected during the score validation process, after the scores are normalized. The score validation process removes bad scores that can degrade the final output. The selected candidate scores are combined using one of the following fusion rules: maximum, averaging, and majority voting. Degraded facial images are employed to demonstrate the robustness of multi-frame decision-level fusion in harsh environments. Out-of-focus and motion blurring point-spread functions are applied to the test images, to simulate long-distance acquisition. Experimental results with three facial data sets indicate the efficiency of the proposed decision-level fusion scheme.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.5
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• pp.163-172
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• 2007

ESC has been used as a tool for evaluating overall performance of firms. ESC focuses mainly on building a balanced viewpoint comprising perspectives and their metrics. It is, therefore, difficult to value overall strategic achievements of a company derived by consolidating various perspectives and metrics. Because of the absence of a method for consolidating ESC metrics and computing total score based on these metrics, it is difficult to evaluate whole strategic performance and find core obstacle parts of performance. In this paper, we suggest a method of normalizing a numerical value of metrics with different units, and calculating the total score of ESC metrics. We conduct a case study of evaluating the effectiveness of CRM to illustrate the applicability and feasibility of the suggested method.

• Korean Journal of Adult Nursing
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• v.18 no.4
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• pp.573-581
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• 2006

Purpose: This study was to predict the stage of exercise behavior change in undergraduate students and to identify the factors affecting exercise behavior change by using the trans theoretical Model. Method: The subjects were 193 undergraduate students at K and D university in D city. Data were collected by questionnaire surveys using convenience sampling and analyzed by SPSS 12.0 program. Results: 77.7% of 193 nursing students do not exercise or they exercise irregularly. Exercise self-efficacy score and exercise benefits score were decreased with advancing exercise stage, on the other hand exercise barriers score and the process of exercise behavior change score were increased. In addition to this, the results revealed that stage of exercise behavior was significantly correlated with the process of exercise behavior change, exercise benefits, exercise barriers and exercise self-efficacy. Conclusion: These results suggested that the process of exercise behavior change, exercise decisional balance and exercise self-efficacy can be potential affecting factors for the stages of behavior change in university students. Therefore, these findings give useful information for educating nurse to construct nursing service programs focused on the stage of behavior change.

• Korean Journal of Agricultural Science
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• v.18 no.1
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• pp.21-32
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• 1991

This experiment was carried out to examine sensory testing for Mozzarella cheese, process cheese, Cheddar cheese and Cheddar cheese made with red pepper, garlic, ginger and welsh onion to develop new cheese varieties which can be prefered by Korean. The chemical composition and sensory testing of cheese were measured. The results were summarized as follows ; 1. Total nitrogen percentages in Cheddar cheese and spiced Cheddar cheeses were similar but those in process cheese and Mozzarella cheese were low. 5% NaCl soluble nitrogen percentages were highest in Cheddar cheese. 5% NaCl soluble nitrogen percentages in each cheese were different. Ripening degree, water soluble nitrogen, TCA soluble nitrogen and SSA soluble nitrogen percentages in each cheese were similiar level. 2. Spiced Cheddar cheeses were more breakdown than other cheese and ${\alpha}_s$-casein breakdowns faster than $\beta$-casein. 3. In the result of sensory evaluation, color score was high in Mozzarella cheese and process cheese. The color score of Cheddar cheese was high in 30's-40's and 50's- 50's. The color score of 10's and 20's was high in Cheddar cheese made with garlic. 4. Odor score was high in Mozzarella cheese and process cheese, too. The odor score of Spiced Cheddar cheeses was high in 10's. 5. Texture score was high in Mozzarella cheese, process cheese and Cheddar cheese. 6. Teste score was high in Mozzarella cheese, process cheese and Cheddar cheese. The taste score of spiced Cheddar cheese was higher in 10's and 20's than that in 30's-40's and 50's-50's.

• 기술발표회
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• s.2006
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• pp.279-291
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• 2006

This study shows decision-making process for selection of cutoff wall on a wastewater treatment project. There are 10 different cut-off wall methods So, we examine the site to gather information for find appropriate methods. After using that information, 10 cutoff wall methods are reviewed for analysis. Through brainstorming, four alternatives are selected for design VE item. Following the standard VE process, we established performance criteria and evaluated function score(F) using questionnaire. The questionnaires, brainstorming and AHP method for weighting on performance criteria and evaluate function score increased the reliability of this selection process. Water Jet method, one of four methods, has the best function score(F=92.71) and the lease construction cost(as cost index 1,000). The value score also highest as 92.7, so we select the method. The result is value innovation type In addition, the authors try to calculate the environmental burden in selection process using LCA. We cannot conduct the full LCA as defined ISO, so perform Simple LCA In LCA result, the cut-off grouting has the least environmental burden as index 9.09E+01 and Water Jet method has following as the second. To selection best method to specific area and purpose, design VE/LCG process used as useful tool and it is needed to develop integrated method that evaluate VEILCC and LCA as one-set process.