• Journal of the Korean Applied Science and Technology
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• v.36 no.3
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• pp.709-725
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• 2019

This study aimed to determine the effects of simulation-based practice education on nursing students' employability, career exploration behavior and decision-making self-efficacy. A non-equivalent control group pre-posttest of quasi-experimental design was used. A total of 120 nursing students located in J provinces, 60 students for the experimental group and 60 students for the control group. Study participants were a third-year student at college of nursing student. The experimental group participated in the study for 6 weeks. The results showed that the simulation-based practice education significantly improved employability(t=-2.31, p=.023) and career exploration behavior(t=-3.05, p=.003) of nursing students. However, there was no significant difference in the decision-making self-efficacy(t=-.87, p=.387). In conclusion, simulation-based practice education should be strengthened because it is useful for education of nursing students.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.615-625
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• 2023

This study was attempted to improve the mental and psychological health of nursing students through the intervention of positive psychological programs using complementary alternative therapy. This study applied a Non-equivalent control group pre-test and post-test design to verify the effects of negative emotions, career decision making self-efficacy, self-compassion, and flourish in nursing students. The experimental group is the students who received the positive psychology program using complementary and alternative therapy, and the control group is the students who did not receive the program. The collected data were analyzed using the SPSS Version 21.0 program. The experimental group showed higher career decision making self-efficacy, self-compassion, and flourish scores and lower negative emotion scores than the control group that did not participate in the education. After applying the positive psychology program using complementary and alternative therapy, it contributed to the expansion of the nursing intervention area using complementary and alternative therapy by reporting positive research effects on career decision making self-efficacy, self-compassion, and flourish.

• Korean Journal of Community Nutrition
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• v.10 no.3
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• pp.311-318
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• 2005

The purposes of the study were to identify important attributes in foodservice management and culinary arts students' career decision-making and to investigate factors determining their preferred employment fields. A questionnaire that consisted of preferred employment fields, importance rating of 19 attributes related to job choices, and demographic information was developed based on a review of literature. A total of 319 students enrolled in food and nutrition, foodservice management, and culinary arts programs of eight 2-year colleges and 4-year universities in Seoul and Kyunggi Province participated in the survey. Data were analyzed using SPSS Win (version 10.0) with descriptive statistics, chi-square analysis, one-way analysis of variance, factor analysis, and discriminant analysis. Attributes of the highest importance scores included fringe benefits, wages and promotion opportunities, working environments, professional development opportunities, and organizational culturs. The students who preferred non-commercial foodservice as a career choice depended more on 'word-of-mouth from faculty' than those who preferred other fields (F=3.094, p < .05) and rated importance of 'participation in job fairs' higher than those who selected hotel food and beverage (F : 5.048, p < .01) . A factor analysis of the 19 attributes resulted in five factors: job/compensation policy, impersonal communication, company image, word-of-mouth, and personal experience. The five factors explained $67\%$ of the total variance. A discriminant analysis revealed that students who perceived 'impersonal communication' and 'word-of-mouth' more important were likely to prefer non-commercial foodservice as a career choice. The results would be used by university faculty in advising graduating students on career selection and by recruiters in developing effective and attractive recruiting programs.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1994.04a
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• pp.55-67
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• 1994

Studies on the ship's automatic navigation & berthing control have been continued by way of solving the ship's mathematical model but the results of such studies have not reached to our satisfactory level due to its non-linear characteristics ar low speed. In this paper the authors propose a new berthing control system which can evaluate as closely as captain's decision-making by using the FNN(Fuzzy Neural Network) controller which can simulate captain's decision-making by using the FNN(Fuzzy neural Network) controller which can simulate captain's knowledge. This berthing controller consists of the navigation subsystem FNN controller and the berthing subsystem FNN controller. The learning data are drawn from Ship Handling Simulator (NavSim NMS90 MK III) and represent the ship motion characteristics internally According to learning procedure both FNN controllers can tune membership functions and identify fuzzy control rules automatically The verified results show the FNN controllers effective to incorporate captain's knowledge and experience of berthing.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.3
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• pp.231-240
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• 2001

Conventional expert systems has been criticized due to its lack of capability to adapt to the changing decision-making environments. In literature, many methods have been proposed to make expert systems more environment-adaptive by incorporating fuzzy logic and neural networks. The objective of this paper is to propose a new approach to building a self-evolving expert system inference mechanism by integrating fuzzy neural network and fuzzy rule extraction technique. The main recipe of our proposed approach is to fuzzify the training data, train them by a fuzzy neural network, extract a set of fuzzy rules from the trained network, organize a knowledge base, and refine the fuzzy rules by applying a pruning algorithm when the decision-making environments are detected to be changed significantly. To prove the validity, we tested our proposed self-evolving expert systems inference mechanism by using the bankruptcy data, and compared its results with the conventional neural network. Non-parametric statistical analysis of the experimental results showed that our proposed approach is valid significantly.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.4
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• pp.239-244
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• 2014

The conventional clustering approaches are mostly based on minimizing total dissimilarity of input and output. However, the clustering approach may not be helpful in some cases of clustering decision making units (DMUs) with production feature converting multiple inputs into multiple outputs because it does not care converting functions. Data envelopment analysis (DEA) has been widely applied for efficiency estimation of such DMUs since it has non-parametric characteristics. We propose a new clustering method to identify groups of DMUs that are similar in terms of their input-output profiles. A real world example is given to explain the use and effectiveness of the proposed method. And we calculate similarity value between its result and the result of a conventional clustering method applied to the example. After the efficiency value was added to input of K-means algorithm, we calculate new similarity value and compare it with the previous one.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.185-188
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• 2009

Recently clients requirements and social requirements are complex and large sized in construction projects. Futhermore, processes and steps are more complexed than before. Unsuitable reflection of clients brings mistaken opinions. A phase of middle change makes delay and change. It brings problems of waste expense and time. 80, first stage of planning and schematic design processes have to reflect of clients opinion actively. by increasing of constructions project competitiveness. Recently, BIM(Building Information Modeling is being researched frequently. Through visualization of information proceed step by step and it helps cognition of adapting information. 80, this paper finds and suggests solution of reflecting clients opinion and requirements and non professional clients and positively support of client participation watching based on BIM.

• Genomics & Informatics
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• v.12 no.3
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• pp.121-126
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• 2014

Medication adherence is generally defined as the extent of voluntary cooperation of a patient in taking medicine as prescribed. Adherence to long-term treatment with chronic disease is essential for reducing disease comorbidity and mortality. However, medication non-adherence in chronic disease averages 50%. This study was conducted a genome-wide association study to identify the genetic basis of medication adherence. A total of 235 medication non-adherents and 1,067 medication adherents with hypertension or diabetes were used from the Korean Association Resource project data according to the self-reported treatment status of each chronic disease, respectively. We identified four single nucleotide polymorphisms with suggestive genome-wide association. The most significant single nucleotide polymorphism was rs6978712 (chromosome 7, $p=4.87{\times}10^{-7}$), which is located proximal to the GCC1 gene, which was previously implicated in decision-making capability in drug abusers. Two suggestive single nucleotide polymorphisms were in strong linkage disequilibrium ($r^2$ > 0.8) with rs6978712. Thus, in the aspect of decision-making in adherence behavior, the association between medication adherence and three loci proximal to the GCC1 gene seems worthy of further research. However, to overcome a few limitations in this study, defining the standardized phenotype criteria for self-reported adherence should be performed before replicating association studies.

• The Korean Journal of Applied Statistics
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• v.26 no.1
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• pp.49-58
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• 2013

Data envelopment analysis is a relatively new data oriented approach to evaluate the performance of a set of peer entities called decision making units which convert multiple inputs into multiple outputs. It has been extensively applied in performance evaluation and benchmarking entities such as hospitals, universities, cities, courts, and business firms. This study provides the evaluating results of the operational efficiencies of local universities using a DEA approach. In addition, we explore the difference of the efficiency between regional flagship national universities and non-flagships.

• Journal of the Korean Institute of Navigation
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• v.24 no.1
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• pp.73-84
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• 2000

Shipping industry continues to face dramatic changes in its environment ranging from development in containerization, computerization and telecommunications to the emergence of global marketplace. Perhaps the most significant trend - representing both a threat and opportunity - is the increasingly competitive nature of shipping service market. In order for the shipping companies to cope with those improvements and challenges, they should analyze and clarify customer's DM(decision making) process for the purchase of container shipping service. The major research findings from the study were found as follows; 1) The degree of shipper's involvement in purchasing shipping services was found to be a discriminating variable affecting the information sources consisting of personal and non-personal information sources. 2) The positive relationship was found between the experiences on shipping services and non-personal information sources. 3) It was observed that as people had more experience searching for information, the more in depth their searches became. 4) There existed a positive relationship between knowledges on shipping services and information search. 5) According to the SEM analysis, the shipper's information search on shipping services was also found to have a great influence on the shipper's purchasing behavior. The shipper's search was resulted in positive customer satisfaction.