• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.2
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• pp.228-240
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• 2013

Purpose: This study was to evaluate the applicability of an emergent care management simulation practicum which is for enhancing nursing students' emergent care management competency based on the Nursing Education Simulation Model. Methods: One group pre-post experimental design was conducted for evaluation of the applicability of the simulation practicum. A convenient sample of 60 senior nursing students was participated. The simulation practicum was provided for 26 hours per student at the end of the first semester of senior year. Educational practices in simulation scale, simulation design scale and learning outcomes were measured. Higher positive correlations between variables represent applicability. Descriptive analysis, paired t-test and Pearson correlation coefficient were used for data analyses. Results: Among contractual components of nursing education simulation model, educational practices in simulation and simulation design (r=.80, p<.010), learning outcomes (r=.71-.28, p<.050), simulation design and learning outcomes (r=.72-.30, p<.050) were significantly correlated. Critical thinking (t=-3.63, p<.050) and problem solving competence (t=-2.55, p<.050) were significantly increased by this simulation practicum. It represents the applicability of an emergent care management simulation practicum. Conclusion: This emergent care management simulation practicum was appropriate to enhance the nursing students' emergent care management coping competency.

• 유체기계공업학회:학술대회논문집
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• 1999.12a
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• pp.324-332
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• 1999

This paper presents the artificial life algorithm which is remarkable in the area of engineering for optimum design. As artificial life organisms have a sensing system, they can find the resource which they want to find and metabolize it. And the characteristics of artificial life are emergence and dynamical interacting with environment. In other words, the micro interaction with each other in the artificial life's group results in emergent colonization in the whole system. In this paper, therefore, artificial life algorithm by using above characteristics is employed into functions optimization. The effectiveness of this proposed algorithm is verified through the numerical test of single and multi objective functions. The numerical tests also show that the proposed algorithm is superior to genetic algorithm and immune algorithm for the Multi-peak function. And artificial life algorithm is also applied to optimum design of high-speed, short journal bearings and verified through the numerical test.

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.1.2-1
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• 2001

• Korean Journal of Child Studies
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• v.22 no.1
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• pp.163-175
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• 2001

This study investigated the effect on children's literacy of teacher-child discussion about the contents of storybooks. The subjects were 10 experimental and 10 control 5-year-old kindergarten children in Cheongju. The experimental design was the Split Plot design. The research instruments used for pre- and post-tests were the Vocabulary Decoding Competence Test(Lee, 1998), Writing Competence Test(Lee & Lee, 1990), Story Comprehension Competence Test(Lee, 1998; Morrow, 1990), and the Emergent Reading Ability Judgements for Favorite Storybooks(Sulzby, 1985). Data were analyzed by ANOVA with repeated measures. Results showed that the teacher-child discussions about the contents of storybooks were effective for improving children's competence in decoding vocabulary, writing, and story comprehension but not for improving emergent reading ability.

• Journal of Distribution Science
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• v.14 no.12
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• pp.107-118
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• 2016

Purpose - In today's markets, new technologies such as social network systems and user generated contents have provided consumers with access to unlimited amounts of information and an ability to communicate with other consumers in the world. Specially, the massive of the internet and the development of online communities and interactive platforms offer the potential to cocreate with a large number of consumers. Significant changes in marketplace suggest that simply being consumer oriented is not enough, so firms must learn from and collaborate with consumers to create values that meet their individual and dynamic needs. In these sense, emergent perspectives in marketing highlight new opportunities for co-opting consumers as a means to define and cocreate value through their engagement. Although the importance of consumer co-creation with firms, the current literature lacks the respond to two questions: (1) who are the most competent consumers for creating the values with firm? and (2) what are the stimulaters to help the consumers engage for co-creation? To this answer the question, this research investigate how to structure consumer motivations to encourage consumers to be more engaged for co-creation and what drives a consumer to get involved to respond to a call for co-creation. Research design, data, and methodology - To empirically test the hypotheses, a survey was conducted among consumers who had experienced the co-creation including upstream, downstream, autonomous, and sponsored co-creation with the firms. We collected a total of 343 responses. After we excluded 37 questionnaire because of incomplete responses, a total of 306 questionnaire remained. Working with a sample of 306 responses in Seoul and Kwangju, hierarchical moderated regression is employed to test research hypotheses. Results - The results indicated that consumer creativity and emergent nature are positively related to engagement in co-creation including upstream, downstream, autonomous, and sponsored co-creation. Also, the relationships between consumer creativity/emergent nature and engagement in co-creation were moderated by intrinsic motivation in case of upstream and downstream co-creation. Finally, interaction effects between consumer creativity/emergent nature and extrinsic motivation were not significant. Conclusions - These results suggest that marketing managers have to consider the consumer personality such as creativity and emergent nature and stimulate the intrinsic motivation of consumer to achieve the co-creation project successfully.

• Proceedings of the Korean Nuclear Society Conference
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• 2001.05a
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• pp.128.1-128
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• 2001

• Proceedings of the Korean Nuclear Society Conference
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• 2001.05a
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• pp.114.2-114
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• 2001

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.12 no.6
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• pp.478-487
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• 2002

This paper presents a hybrid method to compute the solutions of an optimization Problem. The present hybrid algorithm is the synthesis of an artificial life algorithm and the random tabu search method. The artificial life algorithm has the most important feature called emergence. The emergence is the result of dynamic interaction among the individuals consisting of the system and is not found in an individual. The conventional artificial life algorithm for optimization is a stochastic searching algorithm using the feature of artificial life. Emergent colonies appear at the optimum locations in an artificial ecology. And the locations are the optimum solutions. We combined the feature of random-tabu search method with the conventional algorithm. The feature of random-tabu search method is to divide any given region into sub-regions. The enhanced artificial life algorithm (EALA) not only converge faster than the conventional artificial life algorithm, but also gives a more accurate solution. In addition, this algorithm can find all global optimum solutions. The enhanced artificial life algorithm is applied to the optimum design of high-speed, short journal bearings and its usefulness is verified through an optimization problem.

• Advances in aircraft and spacecraft science
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• v.1 no.2
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• pp.219-232
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• 2014

This paper reports on an ongoing study investigating the feasibility of using an evolutionary method to develop the rules governing Self-Organised (SO) systems for use in swarms of unmanned aerial vehicles. In general, it is difficult to design swarm systems that follow explicit global behaviour. Unlike optimising a predefined objective function, the solution to the problem is the emergent behaviour in the SO systems which results from simultaneous interactions among agents and between agents and their environment. In this study, evolutionary algorithms are used to investigate their control and effectiveness in synthesising the weighting of different rules on SO emergent behaviour. Both homogeneous swarms and heterogeneous swarms were considered though the results provided are for a case study investigating the simplest problem a homogeneous swarm without mutation. Though simple this study does indicate the potential of the approach.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.17 no.4
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• pp.395-407
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• 1988

Transient flow in a cold-water supply system for cooling the inside of a coal mining pit was numerically simulated. Properly designed and presetted pressure reducing valves control the level of pressures of the piping system at normal or emergent conditions Quasi-steady relations to simulate the valve motion are obtained and the transient performance of the valve is investigated in the present paper. The present method reasonably simulate transient phenomena in the system including the pressure reducing valve. Excessive valve motion and column separation are simulated when the flow is abruptly reduced. A calculated example of the real system is also presented. The simulation can be used for the safety-check and the guidance for design and operation in emergent cases of the system.