• Korean Journal of Psychosomatic Medicine
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• v.4 no.1
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• pp.85-90
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• 1996

Cognitive-behavioral approach to two cases with chronic headache was presented. Cognitive-behavioral interventions focus on indirectly altering symptom-related physiological activity by changing the way patients cope with headache-eliciting stressors. This treatment focuses directly on the patients' cognitive and behavioral changes. Cognitive-behavioral treatment can be divided into three phases Education, self-monitoring, and problem-solving or coping-skills training. Literature reviews on the follow-up evaluation of therapeutic effectiveness revealed that cognitive-behavioral treatment is effective in the management of chronic headache.

• Journal of the Korean Operations Research and Management Science Society
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• v.10 no.1
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• pp.54-64
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• 1985

This paper deals with analysis on complex and dynamic Primary Health Care (PHC) Systems in rural community to increase understanding of the nature of PHC feedback systems. Because Industrial Dynamics can be very useful for the analysis of such complex and dynamic systems. We used that as a basic tool of Modelling and simulation running. Even If PHC system-models require many assumptions, simulations based on these models can lead decision makers to a better way of problem solving.

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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• 1997.10a
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• pp.31-38
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• 1997

The interest in numerically-generated, Boundary-Fitted Coordinate Systems (BFCS) arises from the need for conforming the boundaries of the region in such way that boundary conditions can be accurately represented. The parabolic approximation method in solving wave phenomena is known to have a great merit as time-saving method. However, the method shows a disagreement for the wide angle and behind the structure (omitted)

• 한국데이터정보과학회:학술대회논문집
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• 2003.10a
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• pp.123-123
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• 2003

More elaborated methods allowing the usage of binary classifiers for the resolution of multi-class classification problems are briefly presented. This way of using FSVC to learn a K-class classification problem consists in choosing the maximum applied to the outputs of K FSVC solving a one-per-class decomposition of the general problem.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1996.10a
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• pp.199-204
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• 1996

It is discssed how to detrmine the home location of vhicles in an AGVS with a loop guidepath in a way of maximizing the request-call response probabilities for all demand. Optimal home position is selected by solving the simultaneous equations easily . Statuc positioning strategy is analyzed in which a single home position is allocated to which every vehicle is outed whenever it becomes idle. The cases of unidirectional guidepath is considered only. We provide a numerical example to illustrate the search algorithm developed for the case and compare the searched optimal solutions with the others.

• Structural Engineering and Mechanics
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• v.38 no.5
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• pp.619-631
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• 2011

This paper provides a complex variable BIE for solving the periodic notch problems in plane plasticity. There is no limitation for the configuration of notches. For the periodic notch problem, the remainder estimation technique is suggested. In the technique, the influences on the central notch from many neighboring notches are evaluated exactly. The influences on the central notch from many remote notches are approximated by one term with a multiplying factor. This technique provides an effective way to solve the problems of periodic structures. Several numerical examples are presented, and most of them have not been reported previously.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2003.04a
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• pp.5-9
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• 2003

Stress and deflection of Active Fiber Composite(AFC) embedded and/or attached composite structures are numerically investigated at the constituent level by the Direct Numerical Simulation(DNS). The DNS approach which models and simulates the fiber and matrix directly using 3D finite elements need to be solved by efficient way. To handle this large scale problem, parallel program for solving piezoelectric behavior was developed and run on the parallel computing environment. Also, the stress result from DNS approach is compared with that from uniform field model.

• PNF and Movement
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• v.11 no.1
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• pp.17-25
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• 2013

Purpose : To identify importance of coordinative locomotor training, we reviewed the coordinative locomotor training using sprinter & skater with respect to motor control theory. Methods : We reviewed literatures related with sprinter & skater and coordination.. Results : The coordinative locomotor training is useful tool to improve interlimb coordination. A problem of interlimb coordination ability is to minimize the degree of freedoms during walking and to solve with context-condition variability and how to make a interlimb coordinative structures. A way of solving method is coordinative locomotor training using sprinter & skater in PNF. The coordinative locomotor training set to fit the gait steps can be applied with gait tasks and can be extended by applying the irradiation of the PNF. Conclusion : The coordinative locomotor training using sprinter & skater in PNF is a useful way method to improve interlimb coordination during walking.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.892-894
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• 2005

Graph partitioning provides an important tool for data clustering, but is an NP-hard combinatorial optimization problem. Spectral clustering where the clustering is performed by the eigen-decomposition of an affinity matrix [1,2]. This is a popular way of solving the graph partitioning problem. On the other hand, semidefinite relaxation, is an alternative way of relaxing combinatorial optimization. issuing to a convex optimization[4]. In this paper we present a semidefinite programming (SDP) approach to graph equi-partitioning for clustering and then we use eigen-decomposition to obtain an optimal partition set. Therefore, the method is referred to as semidefinite spectral clustering (SSC). Numerical experiments with several artificial and real data sets, demonstrate the useful behavior of our SSC. compared to existing spectral clustering methods.

• English Language & Literature Teaching
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• no.5
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• pp.149-189
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• 1999

Assessment can be defined as any method used to understand the current knowledge that a student possesses. Assessment may influence decisions about grades, placement, instructional needs, and curriculum. Therefore, the purpose of assessment is to identify how the students think and know, to diagnose the difficulties they face, and to reflect the result of assessment on teaching. But the traditional multiple-choice test failed to evaluate and teach higher-level thinking and problem-solving skills. In this context, performance assessment is being required as an alternative assessment to get better understanding about what the students can do as well as what they know. This article points out some weaknesses of traditional assessments, and comments on the theoretical background and necessity of performance assessment. And it presents more specific information about performance assessment and some examples. It is certain that performance assessment is student-centered and future-oriented. But performance assessment can't be the surest and best way of evaluating the students' abilities. We are just on the way of another experimental stage for improving teaching methodology. More supplementary analyses and further improvements are needed.