• 한국CDE학회논문집
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• 제8권4호
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• pp.231-242
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• 2003

Multidisciplinary Design Optimization (MDO) is an optimization technique considering simultaneously multiple disciplines such as dynamics, mechanics, structural analysis, thermal and fluid analysis and electromagnetic analysis. A software system enabling multidisciplinary design optimization is called MDO framework. An MDO framework provides an integrated and automated design environment that increases product quality and reliability, and decreases design cycle time and cost. The MDO framework also works as a common collaborative workspace for design experts on multiple disciplines. In this paper, we present the architecture for an MDO framework along with the requirement analysis for the framework. The requirement analysis has been performed through interviews of design experts in industry and thus we claim that it reflects the real needs in industry. The requirements include integrated design environment, friendly user interface, highly extensible open architecture, distributed design environment, application program interface, and efficient data management to handle massive design data. The resultant MDO framework is datasever-oriented and designed around a centralized data server for extensible and effective data exchange in a distributed design environment among multiple design tools and software.

• 한국전산구조공학회논문집
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• 제16권4호
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• pp.431-437
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• 2003

본 연구에서는 순차 설계영역 (SDD： sequential Design Domain) 개념을 사용한 GUI(Graphic User Interface)환경 프로그램을 개발하였다. 본 프로그램은 상용프로그램인 ANSYS와 최적설계 프로그램인 PLBA(Pshenichny-Lim-Belegundu-Arora)를 연결하고 비주얼 베이직을 이용하여 GUI환경에서 사용자가 초기값과 입력파일을 작성하고 결과를 확인할 수 있도록 하였다. 프로그램의 신뢰도를 검증하기 위해서 3부재 및 5부재 트러스 구조물을 수치예제로 선정하여 해석하였다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집C
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• pp.176-181
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• 2001

Analysis technology is widely accepted and quite popular these days. Incorporation of the analysis result into design process is a key factor for the success of the analysis area. A few design software products have been commercialized. Generally, they are trying to make an interface between various design methods and analysis software. Optimization is a representative design method. The products are investigated and compared for the aspects of user convenience and algorithm performance. A few popular products are selected. Graphic user interface (GUI) is compared for the function and efficiency. The performances of the optimization algorithms are tested by mathematical and engineering examples. The results are discussed.

• 대한기계학회논문집A
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• 제26권1호
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• pp.83-94
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• 2002

Analysis technology is widely accepted and quite popular these days. Incorporation of the analysis result into design process is a key factor for the success of the analysis area. A few design software products have been commercialized. Generally, they are trying to make an interface between various design methods and analysis software. Optimization is a representative design method. The products are investigated and compared for the aspects of user convenience and algorithm performance. A few popular products are selected. Graphic user interface (GU) is compared for the function and efficiency. The performances of the optimization algorithms are tested by mathematical and engineering examples. The results are discussed.

• 전산구조공학
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• 제9권3호
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• pp.97-105
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• 1996

본 연구에서는 모티프(Motif), ANCI-C, Fortran 언어를 사용하여 그래픽 입출력과 대화식 입력이 가능하며, 최적설계 수행에 필요한 모든 작업을 같이 병행할 수 있는 최적설계 통합환경을 개발하였다. 최적설계 통합환경은 전처리기(preprocessor), 최적설계부, 후처리기(postprocessor)로 구성하였다. 전처리기에서는 유한요소모형의 구성에 필요한 정보를 입력한 후 사용자가 입력한 정보를 즉시 확인할 수 있도록 하였다. 최적설계부에서는 전처리기에서 입력한 유한요소 정보를 바탕으로 최적설계 매개변수를 정의하고, 해를 구하는 과정으로 구성하였다. 후처리기에서는 구조물의 변형, 응력, 목적함수의 변화 등의 해석 결과를 가시화 함으로써 결과에 대한 비교.검토를 용이하게 하였다.

• 한국멀티미디어학회논문지
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• 제16권12호
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• pp.1482-1494
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• 2013

이 연구개발의 결과 인터페이스 사용자 플랫폼은 최근 고도화된 인터페이스 기술의 특성을 반영하고 소셜 미디어에 의해 발생되는 정보를 활용하여 미래 도시에서 최적의 인터페이스 환경을 지원한다. 이는 미래 지능형 도시의 스마트 공간을 공간 사용자가 보다 쉽고 효율적인 인터페이스 환경에서 정보에 접근할 수 있도록 인터페이스 사용자 플랫폼 구성을 목적으로 하며, 플랫폼 구성을 위한 주요 모듈을 구성한다. 인터페이스 사용자 플랫폼 모듈은 시각화 서비스를 기본으로 하며, 시각화 에이전트, 시각화 소셜 네트워크, 시각 데이터, 시각 클래스, 시각화 아이콘, 시각지도, 시각화 서비스 등의 모듈로 구성된다. 본 연구에서는 전달하고자하는 정보를 포함하는 서비스 종류에 따라 적절한 인터페이스 기술을 적용할 수 있는 인터페이스 환경을 찾고자 본 연구의 최종 결과물인 "인터페이스 사용자 플랫폼"을 제시하였다.

• 시스템엔지니어링학술지
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• 제1권1호
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• pp.14-19
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• 2005

High temperature vacuum furnaces or high standard electric furnaces demand high technology level and high production cost. Therefore, an iterative design process and the optimization approach under integrated computing environment are required to reduce the development risk. Moreover, it also required to develop an integrated design software that can manage the centralized database system between factory and design department, and the automated furnace design and analysis. The developed software is dedicated to the development of the vacuum (electric) furnaces. Based on the distribute middleware system, the GUI module, the CAD module, the thermal analysis module and the optimization module are integrated. For the DBMS, Microsoft Access is employed, the GUI is developed using Visual Basic language, and AutoCAD is utilized for the configuration design. By investigating the analysis code interface, the analysis and optimization process, and the data communication method, the overall system architecture, the method to integrate the optimizer and ana lysis codes, and the method to manage the data flow are proposed and verified through the optimal furnace design.

• Journal of the Optical Society of Korea
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• 제20권3호
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• pp.389-395
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• 2016

A Carbon Fiber Composite (CFC) framework was designed for a small lightweight space camera. According to the distribution characteristics of each optical element in the optical system, CFC (M40J) was chosen to accomplish the design of the framework. TC4 embedded parts were used to solve the low accuracy of the CFC framework interface problem. An integrated optimization method and the optimization strategy which combined a genetic global optimization algorithm with a downhill simplex local optimization algorithm were adopted to optimize the structure parameters of the framework. After optimization, the total weight of the CFC framework and the TC4 embedded parts is 15.6 kg, accounting for only 18.4% that of the camera. The first order frequency of the camera reaches 104.8 Hz. Finally, a mechanical environment test was performed, and the result demonstrates that the first order frequency of the camera is 102 Hz, which is consistent with the simulation result. It further verifies the rationality and correctness of the optimization result. The integrated optimization method mentioned in this paper can be applied to the structure design of other space cameras, which can greatly improve the structure design efficiency.

• Journal of Ship and Ocean Technology
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• 제12권4호
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• pp.7-19
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• 2008

In preliminary ship design, a parametric study is a more realistic way to explore design space and analyze design problem than an optimization technique due to time-consuming computational work or a difficulty in incorporating all constraints into the optimization formulation. In the parametric study, feasible alternatives are examined in various aspects; the best one can be selected. Among the aspects, the strength assessment by FE analysis is an essential process in the ship design. This paper proposes a system to facilitate a parametric study for FE model based on design of experiment (DOE). It works on a FE pre-processor environment and assists a user to define a parametric study by interacting with FE model. It also provides an interface module with a FE solver in order to control the input file and extract predefined FE results from the output file. Based on the proposed system, a better understating and a better design are expected to be achieved.

• 제어로봇시스템학회논문지
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• 제19권6호
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• pp.527-533
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• 2013

BCI (Brain-Computer Interface) is a system that transforms a subject's brain signal related to their intention into a control signal by classifying EEG (electroencephalograph) signals obtained during the imagination of movement of a subject's limbs. The BCI system allows us to control machines such as robot arms or wheelchairs only by imaging limbs. With the exact same experiment environment, activated brain regions of each subjects are totally different. In that case, a simple approach is to use as many channels as possible when measuring brain signals. However the problem is that using many channels also causes other problems. When applying a CSP (Common Spatial Pattern), which is an EEG extraction method, many channels cause an overfitting problem, and in addition there is difficulty using this technique for medical analysis. To overcome these problems, we suggest an optimal channel selection method using a BPSO (Binary Particle Swarm Optimization), BPSO with channel impact factor, and GA. This paper examined optimal selected channels among all channels using three optimization methods and compared the classification accuracy and the number of selected channels between BPSO, BPSO with channel impact factor, and GA by SVM (Support Vector Machine). The result showed that BPSO with channel impact factor selected 2 fewer channels and even improved accuracy by 10.17~11.34% compared with BPSO and GA.