• The Korean Journal of Rehabilitation Nursing
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• v.6 no.2
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• pp.183-191
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• 2003

Purpose: To examine the effect of the solution-focused group counseling program on the nursing students' problem-solving capacity. Methods: The research design was one-group pretest-posttest design in quasi-experimental research. The subjects were 16 sophomore nursing students being in K university located in D city, Korea. The period of this research was from January 9 to February 20, 2002, from January 10 to February 21, 2003. The group counseling program that was developed by Kim, Hyeon Mi (2001) on the basis of the fundamental principles of solution-focused therapy of de Shazer, et al. (1986) and the solution-focused group counseling process proposed by Selekman (1991), LaFountain, et al. (1996) and Metcalf (1998) was used after being modified and complemented for the nursing students. The group counseling was carried out six times for 120 minutes per week. The instruments used for this study were the Problem Solving Inventory developed by Heppner and Petersen (1982) and Scaling question. Collected data were analyzed by paired t-test with SPSS program. Results: 1) Problem solving capacity increased after solution-focused group counseling program, but a significant difference was not revealed(t=0.835, p=0.057). 2) The scores of self-confidence with the problem-solving were significantly increased when it was compared with the 1st and the 6th(t=3.587, p=0.001). Conclusion: It seems that the solution-focused group counseling program should be considered as an effective nursing intervention program for the nursing students by improving self-confidence with the problem-solving. As a results, this study suggests that the specific techniques used in the solution focused therapy should be applied actively in areas of counseling and communication training for the nursing students and nurses.

• Journal of Korean Society for Quality Management
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• v.31 no.1
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• pp.1-10
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• 2003

In 1999, Six Sigma was introduced into Korea and after that it had general influence on company-wide management system. Quality Circles apply the various quality problem solving techniques such as QC 7 Tool, New QC 7 Tool, and statistical methods to rationalization, improvement in the shop floor. This paper empirically investigates the effects of Six Sigma on Quality Circles by analyzing the difference of problem solving technique's use. The number of teams employed in this study is 342, which participate in National Quality Circles Contest from 1997 to 2002 in Korea.

• Journal of the military operations research society of Korea
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• v.5 no.1
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• pp.7-15
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• 1979

The very fact that so many of us are here to participate in this conference on Operations Research is an indicator of the importance we attach to this relatively new and still expanding field. All of us recognize that Operations Research techniques are especially useful tools in problem solving in business, Government and the military. A discussion of the role of Operations Research and the related field of Systems Analysis in national defense policy and programming decision processes seems especially appropriate at the opening session of this conference, As you know, Operations Research as an organized form of research first found application in the review of individual military weapons systems and their effectiveness just over forty years ago. From that relatively narrow beginning has evolved a discipline whose future exploitation and utility you will explore over the next several days. I plan to review very briefly the historical development of Operations Research and Systems Analysis as tools in the defense decision-making process. Then, I will give you an overview of their application to today's military and defense problem solving by discussing the use of these techniques at the headquarters level by the United States Navy, Obviously, in such a brief period, I cannot cover all applications, specific techniques, or all of the groups involved in such a complex process. A review of the historical development of Operations Research/Systems Analysts reveals that the use of the basic concepts of Operations Research is not new; it originated with the first attempts to use the scientific approach to solve problems. We are still seeking, through modern analysis, to answer the three questions posed by John Dewey in his examination of the problem solving process in 1910.'1 - What is the problem? - What are the alternatives? - Which alternative is best? As I noted earlier, Operations Research, as an organized form of research, began in Great Britain in the late 1930s with the review of individual weapons systems.

• 한국정보교육학회:학술대회논문집
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• 2010.08a
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• pp.95-99
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• 2010

In this study, using the program in elementary school, scratch, based on user-centered design model, a high-level (High Level) step by applying prototyping techniques for application development, training and present a model applied to investigate reports that validate the effectiveness. The results of this study, problem solving and logical thinking ability in elementary school for the education of the new approach to application development is expected to be.

• The Journal of Bigdata
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• v.8 no.1
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• pp.35-47
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• 2023

It is crucial to develop effective and efficient big data analytics methods for problem-solving in the field of business in order to improve the performance of data analytics and reduce costs and risks in the analysis of customer data. In this study, a big data-driven data analysis system using artificial intelligence techniques is designed to increase the accuracy of big data analytics along with the rapid growth of the field of data science. We present a key direction for big data analysis systems through missing value imputation, outlier detection, feature extraction, utilization of explainable artificial intelligence techniques, and exploratory data analysis. Our objective is not only to develop big data analysis techniques with complex structures of business data but also to bridge the gap between the theoretical ideas in artificial intelligence methods and the analysis of real-world data in the field of business.

• Nonlinear Functional Analysis and Applications
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• v.26 no.3
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• pp.611-628
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• 2021

In this paper, we propose a new branch-reduction-and-bound algorithm to solve the nonlinear knapsack problems by using general discrete monotonic optimization techniques. The specific properties of the problem are exploited to increase the efficiency of the algorithm. Computational experiments of the algorithm on problems with up to 30 variables and 5 different constraints are reported.

• Journal of Electrical Engineering and Technology
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• v.12 no.4
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• pp.1417-1426
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• 2017

Power system analysis, Non-Convex Economic Dispatch (NED) is considered as an open and demanding optimization problem. Despite the fact that realistic ED problems have non-convex cost functions with equality and inequality constraints, conventional search methods have not been able to effectively find the global answers. Considering the great potential of meta-heuristic optimization techniques, many researchers have started applying these techniques in order to solve NED problems. In this paper, a new and efficient approach is proposed based on imperialist competitive algorithm (ICA). The proposed algorithm which is named multi-operator ICA (MuICA) merges three operators with the original ICA in order to simultaneously avoid the premature convergence and achieve the global optimum answer. In this study, the proposed algorithm has been applied to different test systems and the results have been compared with other optimization methods, tending to study the performance of the MuICA. Simulation results are the confirmation of superior performance of MuICA in solving NED problems.

• Journal of Engineering Education Research
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• v.22 no.4
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• pp.3-11
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• 2019

The purpose of this study is to introduce a modified CPS(Creativity Problem Solving) procedure as a new method for comparative analysis of creative techniques such as SIT(Systematic Inventive Thinking) and Brainstorming(BS) techniques. For this, a new sports game is employed as a case study. The results show that the ideas from SIT are more creative in terms of originality and practicality than those of BS. Several considerations for effective practical use of the proposed method are discussed in this study.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.1
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• pp.87-94
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• 2007

Many researchers have modeled complicated problems with distributed AI technologies in distributed environment. Especially, intelligent agent technology we often proposed among researchers as efficient method to solve the complicated problems because agent technology makes possibile to share different problem solving abilities among processors in distributed processing environment. In this paper, we propose multiagent system model to solve distributed scheduling problem. At this point we apple CSP techniques to the multiagent model as individual problem solving ability of member agents. Scheduling problem is divided into subproblems according to constraints by distributed resources, then each agent solves its subproblem using CSP solver in the proposed model. This method improves scheduling efficiency. For meeting scheduling problem of case study, we show CSP modeling process and suggest problem solving procedure by multiagent system model.

• The Mathematical Education
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• v.57 no.3
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• pp.289-309
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• 2018

There has been a gradually increasing focus on adopting mathematical modeling techniques into school curricula and classrooms as a method to promote students' mathematical problem solving abilities. However, this approach is not commonly realized in today's classrooms due to the difficulty in developing appropriate mathematical modeling problems. This research focuses on developing reformulation strategies for those problems with regard to mathematical modeling. As the result of analyzing existing textbooks across three grade levels, the majority of problems related to the real-world focused on the Operating and Interpreting stage of the mathematical modeling process, while no real-world problem dealt with the Identifying variables stage. These results imply that the textbook problems cannot provide students with any chance to decide which variables are relevant and most important to know in the problem situation. Following from these results, reformulation strategies and reformulated problem examples were developed that would include the Identifying variables stage. These reformulated problem examples were then applied to a 7th grade classroom as a case study. From this case study, it is shown that: (1) the reformulated problems that included authentic events and questions would encourage students to better engage in understanding the situation and solving the problem, (2) the reformulated problems that included the Identifying variables stage would better foster the students' understanding of the situation and their ability to solve the problem, and (3) the reformulated problems that included the mathematical modeling process could be applied to lessons where new mathematical concepts are introduced, and the cooperative learning environment is required. This research can contribute to school classroom's incorporation of the mathematical modeling process with specific reformulating strategies and examples.