• Journal of Electrical Engineering and Technology
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• v.13 no.4
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• pp.1549-1557
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• 2018

Optimizing the design of large-scale electric machines based on nonlinear finite element analysis (FEA) requires longer computation time than other applications of FEA, mainly due to the huge size of the machines. This paper addresses a new region decision method (RDM) with mesh adaptive direct search (MADS) for the optimal design of wind generators in order to reduce the computation time. The validity of the proposed algorithm is evaluated using Rastrigin and Goldstein-Price benchmark function. Moreover, the algorithm is employed for the optimal design of a 5.6MW interior permanent magnet synchronous generator to minimize the torque ripple. Additionally, mechanical stress analysis as well as electromagnetic field analysis have been implemented to prevent breakdown caused by large centrifugal forces of the modified design.

• Proceedings of the Technology Innovation Conference
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• 2003.02a
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• pp.191-199
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• 2003

It is critical to select an appropriate technology valuation method when the characteristics of a technology and valuation environment are variable. To ensure high quality decision making when selecting a technology valuation method, it is necessary to understand the principles of a good technology valuation method, and define and apply a decision making theory for selecting an optimal method. The authors propose that Axiomatic Design Principles can be applied as a decision making theory. In order to apply Axiomatic Design for this problem, this paper describes four domains(customer, functional, physical, and process domain) and four axioms(independence, information, cost, time axiom) for the decision making process for the optimal technology valuation method. The result of this study will contribute flexibility to the dynamic technology valuation process.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.21-31
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• 2010

In the architectural design technologies being changed recently, there is the study to develop the way that will enable the designers to get access logically to the processes of deciding the values of design factors which depend on the experience of the designers. This study, which is one part of those studies, has been carried out to develop the model that can decide the values logically for the design factors having the character that the design values are changed by the time variation out of design factors involved in the building energy saving design. As a result, the structure of the decision model which can decide the design values logically from the computer simulation that solve the problem by interpreting the real world as the probability distribution, has been established through this study. For the application and verification of these decision model, the case study has been carried out for the outdoor climate factors that stand for the design factors having the time variation.

• Fashion, Industry and Education
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• v.14 no.1
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• pp.59-68
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• 2016

This paper identified the source of inspiration to cooperatively design a fashion collection from US undergraduate clothing design students and addressed how to implement team-based learning strategy to conceptual clothing design in class. Data was collected from the total of 51 students in a senior clothing design course at a large 4-year university in the US. The assigned project for this class was to develop a group collection under a same theme. Each student worked with his/her team member(s) to create an outfit and the entire class worked as a group to create a cohesive collection. The study showed that the sources of inspiration for the themes/concepts came from 11categories: historic era/old Hollywood glamour, shape/line/structure/architectural, fairy tales movies, nature/abstract, circus/mysterious, occasion/place, object, designer/artist, futuristic, culture, and various movies. To implement cooperative learning strategies in the clothing design class, a total of five class presentation/discussion sessions were held for theme/concept decision, fabric decision, design decision, test garment evaluation and design modification, and final products. Throughout the design process, team-based learning strategy promoted students' engagement and participation and inspired their critical thinking skills for making decisions within a team.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.11 no.2
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• pp.125-136
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• 2012

Wrinkle and fracture are two major defects frequently found in the sheet metal forming process. In this process there are more than one design attributes to optimize and several uncontrollable factors which cannot be ignored in determining the optimal values of design variables. Therefore, attempts to reduce defects through a traditional optimization technique are often led to failures. In this research, a new design method for reducing the wrinkle and fracture under uncontrollable factors is presented by using decision-making theory. To avoid the psychological difficulties in determining the scaling constants of the multi-attribute utility function by using the ordinary lottery questions, a pair-wise comparison procedure is adapted to avoid this problem. The effectiveness of the proposed method is illustrated through a robust design of sheet metal forming process of a side member of an automotive body.

• Journal of Korean Society for Quality Management
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• v.16 no.2
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• pp.34-47
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• 1988

Decision support system (DSS) has been expected to be a powerful tool for aiding the decision making processes in business organizations. But it's contribution has turned to be somewhat doubtful, In this paper, an intergrated systems design apporach is suggested, which integrates DSS and expert system (ES) for the enhancement of performance of DSS, after carefully reviewing both DSS and ES.

• Journal of Biomedical Engineering Research
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• v.12 no.1
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• pp.63-70
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• 1991

Design of Arrhythmia Automatic Diagnostic System Using Decision Table We have developed an arrhythmia automatic diagnostic system using decision table which is based on the criteria of Minnesota code. This system is divided into two Parts. One is wave detection algorithm using significant point extraction method, the other is arrhythmia diag- nostic algorthm. The proposed system allows physicians to diagnose more accurately by pro- viding the objective information about a lot of computer -processed ECG data.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.69-70
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• 1995

This paper considers the applications of cellular automata in order to design self-organizing artificial neural decision systems such as self-organizing neurocomputer circuit, machines, and artifical life VLSI circuits for controlling mechanical systems. We consider the L-system and show the results of growth of plants in artificial life.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1646-1649
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• 2002

This paper introduces a simulation design decision support system to support the development process of the pipeline network and provide decision support to the operations of the gas pipelines. The system has been implemented on Flash5, which has a multimedia capabilities environment for designing and delivering low- bandwidth animations, presentations, and web sites. It also offers scripting capabilities and server-side connectivity fur creating applications and web interfaces. Hence a user can interact with the system on the World Wide Web.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.2
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• pp.114-126
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• 2009

In this paper, a versatile multi-criteria optimization concept for fatigue life prediction is introduced. Multi-criteria decision making in engineering design refers to obtaining a preferred optimal solution in the context of conflicting design objectives. Compromise decision support problems are used to model engineering decisions involving multiple trade-offs. These methods typically rely on a summation of weighted attributes to accomplish trade-offs among competing objectives. This paper gives an interpretation of the decision parameters as governing both the relative importance of the attributes and the degree of compensation between them. The approach utilizes a response surface model, the compromise decision support problem, which is a multi-objective formulation based on goal programming. Examples illustrate the concepts and demonstrate their applicability.