• Journal of Digital Convergence
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• v.19 no.6
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• pp.73-83
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• 2021

This study identified the factors that influence the problem solving intention of students who completed the action learning-based creativity programs based on the theory of reasoned action, and examined the influence relationship between these factors. As a result of the study, first, subjective norms of problem solving had a positive effect on problem solving intention, and second, attitude toward problem solving had a significant effect on problem solving intention. Third, it was found that students who had experience of participating in a patent education program applying the action learning methodology had a positive effect on the relationship between their attitude toward problem solving and their intention to solve the problem. These findings confirmed that in order to enhance the problem-solving intention, which is the basis for creativity of university students, it is important to spread the positive value of problem-solving within the university and to give students a positive attitude toward problem solving.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.41
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• pp.231-242
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• 1997

This paper describe an approximation method for solving the minimum makespan problem of job shop scheduling with fuzzy processing time. We consider the multi-part production scheduling problem in a job shop scheduling. The job shop scheduling problem is a complex system and a NP-hard problem. The problem is more complex if the processing time is imprecision. The Fuzzy set theory can be useful in modeling and solving scheduling problems with uncertain processing times. Lee-Li fuzzy number comparison method will be used to compare processing times that evaluated under fuzziness. This study propose heuristic algorithm solving the job shop scheduling problem under fuzzy environment. In This study the proposed algorithm is designed to treat opinions of experts, also can be used to solve a job shop environment under the existence of alternate operations. On the basis of the proposed method, an example is presented.

• Journal of Electrical Engineering and Technology
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• v.9 no.6
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• pp.1882-1890
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• 2014

This paper proposes an augmented Lagrange Hopfield network (ALHN) based method for solving multi-objective short term fixed head hydrothermal scheduling problem. The main objective of the problem is to minimize both total power generation cost and emissions of $NO_x$, $SO_2$, and $CO_2$ over a scheduling period of one day while satisfying power balance, hydraulic, and generator operating limits constraints. The ALHN method is a combination of augmented Lagrange relaxation and continuous Hopfield neural network where the augmented Lagrange function is directly used as the energy function of the network. For implementation of the ALHN based method for solving the problem, ALHN is implemented for obtaining non-dominated solutions and fuzzy set theory is applied for obtaining the best compromise solution. The proposed method has been tested on different systems with different analyses and the obtained results have been compared to those from other methods available in the literature. The result comparisons have indicated that the proposed method is very efficient for solving the problem with good optimal solution and fast computational time. Therefore, the proposed ALHN can be a very favorable method for solving the multi-objective short term fixed head hydrothermal scheduling problems.

• Journal of the Korean Society for information Management
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• v.22 no.1 s.55
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• pp.209-228
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• 2005

This study is a preliminary work in examining how to manage resources for collaboratively interactive help systems. The purpose of this article is to describe significant patterns of behaviors and cognitive state in collaborative problem-solving situation, and further to explore the relationship between the behavior and the perception of service evaluation. Based on the concept of 'cognitive motion' in Dervin's Sense-Making theory, this study conducted a time-line interview. The sample of this study consists of 22 IT personnel helping other person solve IT problems and 36 users being helped for a IT problem-solving. This study presents a model of collaborative problem-solving behaviors and discusses some implications for designing help systems which collaborative interactions can happen.

• Journal of applied mathematics & informatics
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• v.14 no.1_2
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• pp.97-113
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• 2004

In this paper we shall study moving boundary problems, and we introduce an approach for solving a wide range of them by using calculus of variations and optimization. First, we transform the problem equivalently into an optimal control problem by defining an objective function and artificial control functions. By using measure theory, the new problem is modified into one consisting of the minimization of a linear functional over a set of Radon measures; then we obtain an optimal measure which is then approximated by a finite combination of atomic measures and the problem converted to an infinite-dimensional linear programming. We approximate the infinite linear programming to a finite-dimensional linear programming. Then by using the solution of the latter problem we obtain an approximate solution for moving boundary function on specific time. Furthermore, we show the path of moving boundary from initial state to final state.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.326-341
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• 2020

Based on theoretical background of Situational Theory of Problem Solving(STOPS), we have examined the role of STOPS variables on a group of online public in their issue recognition and communicative behavior on Korea's nationwide civil boycott movement of Japanese goods. Results from 524 survey cases from a Korea's major online community show that two independent variables(Problem Recognition, Referent Criterion) revealed positive in their effect on mediating variable(Situational Motivation in Problem Solving). Situational Motivation also revealed positive in its effect on six dependent variables(Information Forefending, Information Permitting, Information Forwarding, Information Sharing, Information Seeking, Information Attending) of Communicative Behavior. Involvement Recognition and Constraint Recognition revealed positive without proper statistical significance. As a result, study on the case of online public in Korea supports STOPS theory as high-level of Problem Recognition and Referent Criterion effects on Communicative Behavior in positive way via Situational Motivation. Implications from the findings have discussed and proposed suggestions for government public relations and further studies.

• Journal of applied mathematics & informatics
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• v.17 no.1_2_3
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• pp.1-23
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• 2005

The shortest-paths problem is a fundamental problem in graph theory and finds diverse applications in various fields. This is why shortest path algorithms have been designed more thoroughly than any other algorithm in graph theory. A large number of optimization problems are mathematically equivalent to the problem of finding shortest paths in a graph. The shortest-path between a pair of vertices is defined as the path with shortest length between the pair of vertices. The shortest path from one vertex to another often gives the best way to route a message between the vertices. This paper presents an $O(n^2)$ time sequential algorithm and an $O(n^2/p+logn)$ time parallel algorithm on EREW PRAM model for solving all pairs shortest paths problem on circular-arc graphs, where p and n represent respectively the number of processors and the number of vertices of the circular-arc graph.

• Journal of Engineering Education Research
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• v.24 no.3
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• pp.58-69
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• 2021

It is very necessary to have a creative problem-solving capacities to learn various majors and liberal arts based on the major, and to solve the bottleneck techniques led by students. In this study, the existing creative problem-solving curriculums, 'Methodology of Inventive Problem Solving' based on TRIZ, were improved and applied, and industrial bottleneck techniques were provided to students to solve these techniques. To improve the curriculum, 1) improvement of instructional objectives and learning contents, 2) improvement of evaluation methods and contents (reflecting the evaluation of instructor and students), and 3) learning satisfaction survey were conducted in the following order. As a result of the application of the improved curriculum, the level of activities for each team was improved, and when the core process was well understood, the evaluation of team activities was also excellent, but there was a tendency to focus on methods that are relatively easy to apply in the problem solving process. In the final exam (learning contents evaluation), teams with difficult understanding of the TRIZ theory or low team activities showed a relatively high trend, but the difference in level between divisions was slightly reduced.

• Journal of applied mathematics & informatics
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• v.7 no.2
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• pp.453-465
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• 2000

In this paper, a new method for finding the approximate solution of a second order nonlinear partial differential equation is introduced. In this method the problem is transformed to an equivalent optimization problem. them , by considering it as a distributed parameter control system the theory of measure is used for obtaining the approximate solution of the original problem.

• Korean Journal of Social Welfare
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• v.58 no.1
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• pp.59-85
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• 2006

The purpose of this study was to identify how traumatic experiences and stresses caused hopelessness and depression among low-income residents, and to delineate what social problem solving capabilities might play roles in relation to the hopelessness theory of depression. For the purpose of the study, the target group of this study was restricted to adults over 20. This study recruited 175 low-income residents(the Beneficiary of National Basic Livelihood Security Act and the Near Poor Group) in Busan, Korea and employed a self-administered survey method during February, 2004. The following are the major results of the study. First, in low-income subjects, stresses showed positive influences on hopelessness. Second, in low-income subjects, stresses and hopelessness showed positive influences on depression. Third, stress influenced depression with hopelessness as the intervening variable, but it was not statistically significant path in traumatic experiences. The hopelessness theory of depression is to test whether the individuals who have negative attributional style and experience negative life events are likely to make negative attributions for the negative events they confront. The present study, using low-income residents, found that negative life experience predict negative attributions without negative attributional style. Fourth, social problem solving capabilities buffered the relationship between stress and hopelessness. It was also significant subscales apart from Positive Problem Orientation and Negative Problem Orientation. Fifth, social problem solving capabilities buffered the relationship between hopelessness and depression. It was also significant subscales apart from Negative Problem Orientation and Impulsivity/Carelessness Style. Based on the results, practice implications by identifying what social problem solving capabilities might play roles in hopelessness theory of depression were discussed.