• Journal of applied mathematics & informatics
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• v.18 no.1_2
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• pp.1-23
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• 2005

The decentralized static output feedback design problem is considered. A constrained trust region method is developed that solves this optimal control problem when a complete set of state variables is not available. The considered problem is interpreted as a non-linear (non-convex) constrained matrix optimization problem. Then, a decentralized constrained trust region method is developed for this problem class exploiting the diagonal structure of the problem and using inexact computations. Finally, numerical results are given for the proposed method.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.321-340
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• 2017

The purpose of this study is to design a teaching model applying a problem-based learning model and to analyze the educational benefits that students felt. This study initiated a problem-based learning model from an analysis of existing studies. Through the consultation of experts, the scenario was modified. The problem was designed according to the design stage activity (problem analysis, PBL class suitability judgment, contents analysis, learner analysis, environment analysis, PBL operating environment decision, PBL class) and Strategic Design (problem situation design, learning resource design, Facilitation design, operational strategy design, evaluation design, PBL operating environment design). Based on the initial scenarios, the researcher analyzed the results of the problem - based learning through learners' reflective diaries. The researcher was able to confirm that the critical thinking and creativity were improved in the first PBL problem situation, and the method for smooth communication and cooperation was utilized. The results on analyzing the effects of education about the first problem-based learning and students' opinions about modification will be used for the second revision and supplement of the course design. This study introduces a case of PBL course development and expects further application and research.

• Journal of the Korean Statistical Society
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• v.30 no.1
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• pp.163-178
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• 2001

We consider the experimental design problem of selecting values of design variables x for observation of a response y that depends on x and on model parameters $\theta$. The form of the dependence may be quite general, including all linear and nonlinear modeling situations. The goal of the design selection is to efficiently estimate functions of $\theta$. Three new criteria for selecting design points x are presented. The criteria generalized the usual Bayesian optimal design criteria to situations n which the prior distribution for $\theta$ amy be uncertain. We assume that there are several possible prior distributions,. The new criteria are applied to the nonlinear problem of designing to estimate the turning point of a quadratic equation. We give both analytic and computational results illustrating the robustness of the optimal designs based on the new criteria.

• Korean Journal of Computational Design and Engineering
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• v.10 no.5
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• pp.365-374
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• 2005

Most of people who are engaged in research and development find it difficult to solve the engineering problems creatively due to the lack of ideas. TRIZ is one of the emerging problem solving techniques that leads us to a very useful and clear solution. TRIZ consists of several tools such as ideal final result (IFR), physical and technical contradictions, 40 invention principles, resource, effect, etc. However, many designers think that TRIZ is hard to be applied to a design problem since there are several tools in TRIZ. Machine designers may want to see which tool is more effective than others. Thus, this paper provides sample solutions of a design problem: holder design for the bottle etching machine by applying several TRIZ tools. Difficulties in applying TRIZ to a design problem are discussed.

• Communications for Statistical Applications and Methods
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• v.4 no.1
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• pp.129-138
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• 1997

In this paper, the problem for choosing design points in the two dimensional case is condidered. In the one dimensional case, given the design density function, we can choose design points using the quantile function. However, in the two dimensional case, there is no clear definition of the percentile. Therefore, the idea of choosing design points in the univariate case can not be applied directly to the two dimensional case. We convert this problem into an optimization problem using the Voronoi diagram.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.05a
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• pp.160-161
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• 2004

• Journal of Engineering Education Research
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• v.24 no.2
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• pp.68-75
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• 2021

ABEEK recommends convergent engineering projects to nurture creative problem-solving ability for 1st year engineering students through 'Creative Engineering Design' course. However, 1st year engineering students, who have not yet studied core subjects in engineering, have difficulties understanding and coping with the challenges posed by the engineering-related projects. For this reason, the educational objectives of this course are usually frustrating to achieve by the instructor. In this paper, by using the problem-solving process and skills of critico(-creative) thinking, we prepare guidelines for creative engineering design education that allow 1st-year students to effectively participate in engineering projects without a complete understanding of the design process which is to be studied. Also, we present a case study that applies the guidelines to an on-going creative engineering design course and discusses the outcomes by showing student-generated works. The results showed that the intuitive content and everyday expression of critico(-creative) thinking education enabled the instructor to effectively guide their students through the requirements of engineering projects without relying on advanced engineering design methods, and that the application of these guidelines also helped improve students' communication skills, including presentation. We show that the guidelines for creative engineering design education utilizing the problem-solving process and skills of critico(-creative) thinking is not only contributing to achieving the educational objectives of the creative engineering design course but can also be an educational paradigm that incorporates critico(-creative) thinking education into engineering education.

• Journal of Korean Home Economics Education Association
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• v.31 no.2
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• pp.155-175
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• 2019

This study aimed to present a concrete and systematic lesson design model for practical problem-based learning in Practical Arts based on the backward design model. To this purpose, this study was conducted in the following four stages: analysis, design, development, and evaluation. In the analysis stage, the literature related to the practical-problem-based curriculum and the instructional design model were reviewed as the theoretical foundations, and the 2015 revision of Practical Arts curriculum was analyzed. In the design stage, based on the literature review, the stages and sub-elements of practical-problem-based learning in Practical Arts were determined, and a template of instructional design was constructed. In the development stage, the design model was drafted based on the stages and sub-elements determined at the design stage. In the evaluation stage, the drafted design model from the development stage was evaluated, modified, and enhanced through expert verification. Based on the suggestions from the experts, the 'practical problem setting' stage was added to the original three-stage model, resulting in a model composed of the following four stages: practical problem setting, goal setting, evaluation planning, and learning activity planning. The experts appraised that the developed model of practical-problem-based instructional design in Practical Arts to be a systematic template that would serve as a concrete guideline for teachers who are trying to design classes based on practical problems.

• Korean Institute of Interior Design Journal
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• v.16 no.2 s.61
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• pp.63-70
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• 2007

Analogy in problem solving is similarity-based reasoning facilitated by verbal and visual operation. This similarity-based reasoning generally supports initial phase of idea search. Therefore, this study intends to infer the types of problem solving by tracing the analogy use of verbal and visual representation through a experimental research. According to the result of this research, the types of problem solving by analogy are classified into 'evolving', 'divergent', and 'poor conversion' type. Firstly, 'evolving type' is distinguished between 'combination type' associated different contents to develope a new design and 'transformation type' associated similar words and sketches to be continuously revised and developed. In these types usually structural analogy rather than surface analogy is used. Secondly, in 'divergent type' associated words or sketches are individually represented, and among them one design solution is selected. In this type usually surface analogy is used. Thirdly, in 'poor conversion type' interaction between verbal representation and visual representation does not go on smoothly, and the generation of idea is poor. In here surface analogy is mostly used. These findings could form the basis of skill development of idea generation and conversion in design education.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.49-58
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• 2019

Efficient evidential reasoning is an important issue in the development of advanced knowledge based systems. Efficiency is closely related to the design of problems solving methods adopted in the system. The explicit modeling of problem-solving structures is suggested for efficient and effective reasoning. It is pointed out that the problem-solving method framework is often too coarse-grained and too abstract to specify the detailed design and implementation of a reasoning system. Therefore, as a key step in developing a new reasoning scheme based on properties of the problem, the problem-solving method framework is expanded by introducing finer grained problem-solving primitives and defining an overall control structure in terms of these primitives. Once the individual components of the control structure are defined in terms of problem solving primitives, the overall control algorithm for the reasoning system can be represented in terms of a finite state diagram.