• 한국지역지리학회지
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• 제16권6호
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• pp.673-688
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• 2010

본 연구의 목적은 공간분석 및 모델링을 이용하여 지방행정구역을 재설정하는 최적화 모델을 개발하는 데에 있다. 이를 위해 먼저 기존의 지방행정체제 개편과 관련된 논의들을 비판적으로 검토하여 구역 설정을 위한 기준을 도출하였다. 도출된 기준을 바탕으로 행정구역 재설정을 위한 최적화 모델을 정의하였다. 구역내 동질성, 구역간 형평성, 공간적 배열이라는 세 가지 요소를 행정구역 재설정 최적화 모델의 주요 기준으로 고려하였다. 행정구역과 실제 생활권(경제권)을 일치시키기 위한 구역내 동질성은 구역에 포함된 단위 지역간 상호작용의 형태로 정량화되었다. 인구, 면적, 재정력 등의 차이를 이용하여 구역간 형평성을 평가하였다. 마지막으로 조밀하고 연속적인 구역이 형성되도록 공간적 배열을 제약하였다. 제시된 행정구역 재설정 최적화 모델은 GIS 환경에서 자동구획절차(AZP) 알고리즘을 이용하여 구현되었으며, 시군 공간 단위의 합역을 통한 광역체계 행정구역을 설정하는 문제에 적용되었다. 적용 결과 제시된 모델은 목적함수 대안에 따른 최적화된 구획체계를 도출하였다.

• Journal of Radiation Protection and Research
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• 제28권2호
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• pp.145-154
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• 2003

By optimizing the radiation protection the collective dose and individual dose could be reduced during YGN #4 $5^{th}$ outage in 2001. The collective doses for the two high radiation jobs decreased to 85% and 65% of expected doses. The proportion of workers with low dose (below 1mSv) exposure increased 4% while the proportion of workers with over 3mSv and 5mSv exposure are decreased to 2%, 1% respectively. But none is exposed over 8mSv for the annual dose. To aid decision of utilizing the robot, cost- benefit analysis was performed and reasonable point was proposed to use the robot. For the first time job, repeated ALARA meeting and mock up training were implemented to set up working procedure by identifying the trouble. To easily set up standard procedure, mockup process was videotaped and reviewed during ALARA meeting. Monitoring is a good approach to chase radiological working condition such as working time, dose rate. behavior of workers, especially for high radiation work. Those data were estimated and adjusted from the stage of work planning to mock up. At the stage of actual work the monitoring data were compared to the estimation and recorded to database. This database will not only be used as a powerful tool for dose optimization at the following outage but also as a guideline to dose constraint set up for optimization for each specific situation.

• 대한조선학회논문집
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• 제31권2호
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• pp.91-98
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• 1994

대형구조계에 대하여 구조중량의 최소화를 기하면서 고유진동수 제한조건을 만족시키는 동특성 최적화에 효율적인 한 방법을 제안한다. 일련의 근사최적화문제를 형성하는데 있어서는 고유진동수의 설계파라메터에 대한 감도와 설계파라메터의 역에 대한 감도를 병용하는 근사방법을 사용하며, 설계변수의 변화에 따른 고유진동해석 및 감도계산은 저자가 조선학회논문집 제30권 제3호에 발표한 바 있는 부분구조진동형 합성방법에 의거한다. 설계파라메터에 대한 감도와 설계파라메터의 역에 대한 감도를 병용하는 근사방법은 전자만을 사용하는 근사방법에 비해 적은 회수의 재해석으로 고유진동수 제한조건을 만족하는 설계값을 얻을 수 있다. 또한 설계변경에 따른 재해석시 앞서 발표했던 부분구조진동형 합성방법의 장점을 활용하므로써 효율적인 재해석이 가능하다. 제안된 방법의 유용성은 외팔보유추 구조계 및 선체단순화 2-D FEM모델의 상부구조를 대상으로 한 수치예제를 통하여 검증되었다.

• 한국정보처리학회논문지
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• 제5권5호
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• pp.1345-1356
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• 1998

본 논문은 컴파일러에 의해 생성된 목적 코드상의 프로시저의 수행 속도를 향상시키기 위한 방안으로, 프롤로그 테일러링 알고리즘을 제안한다. 레지스터의 수가 많은 기계에서 반복 수행되는 프로시저의 경우, 프롤로그와 에필로그에서 실행되는 레지스터 저장 및 복원 명령어를 줄이는 것은 프로시저 실행 속도 향상의 주요 작업이 된다. IBM XL C 컴파일러에서 제공되는 에필로그 테일러링은 실행 경로상의 레지스터 복원 명령어를 줄임으로써, 프로시저 성능 향상에 기여해왔으나, 프롤로그 테일러링에 대한 구체적 알고리즘은 현재 제안되어 있지 않다. 본 논문이 제안하는 알고리즘에 의해 생성된 프롤로그는 각각의 실행 경로에 대해 현저히 감소된 수의 레지스터 저장 명령을 실행하도록 함으로써, 프로시저의 실행 속도를 개선시킨다. 테일러된 프롤로그를 갖는 프로시저가 바르게 실행되기 위해서는, 다이아몬드 구조나 반복 구조 내분에 레지스터 저장 명령을 생성해서는 안된다. 그러므로, 본 논문은 다이아몬드 구조나 반복 구조 내부가 아닌 최적의 위치에 레지스터 저장 명령을 생성하는 알고리즘을 제안한다.

• 대한기계학회논문집B
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• 제27권10호
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• pp.1457-1463
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• 2003

In this paper, the response surface method using three-dimensional Navier-Stokes analysis to optimize the shape of a multi-blade centrifugal fan, is described. For numerical analysis, Reynolds-averaged Navier-Stokes equations with standard k - c turbulence model are transformed into non-orthogonal curvilinear coordinate system, and are discretized with finite volume approximations. Due to the large number of blades in this centrifugal fan, the flow inside of the fan is regarded as steady flow by introducing the impeller force models for economic calculations. Linear Upwind Differencing Scheme(LUDS) is used to approximate the convection terms in the governing equations. SIMPLEC algorithm is used as a velocity-pressure correction procedure. Design variables, location of cur off, radius of cut off, expansion angle of scroll and width of impeller were selected to optimize the shapes of scroll and blades. Data points for response evaluations were selected by D-optimal design, and linear programming method was used for the optimization on the response surface. As a main result of the optimization, the efficiency was successfully improved. It was found that the optimization process provides reliable design of this kind of fans with reasonable computing time.

• 한국자동차공학회논문집
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• 제20권1호
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• pp.124-130
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• 2012

An injection mold cooling circuit for an automotive front bumper was optimally designed in order to simultaneously minimize the average of the standard deviations of the temperature and the difference in mean temperatures of the upper and lower molds for uniform cooling. The temperature distribution for a specified design was evaluated by Moldflow Insight 2010, a commercial injection molding analysis tool. For efficient design, PIAnO (Process Integration, Automation and Optimization), a commercial PIDO tool, was used to integrate and automate injection molding analysis procedure. The weighted-sum method was used to handle the multi-objective optimization problem and PQRSM, a function-based sequential approximate optimizer equipped in PIAnO, to handle numerically noisy responses with respect to the variation of design variables. The optimal average of the standard deviations and difference in mean temperatures were found to be reduced by 9.2% and 56.52%, respectively, compared to the initial ones.

• International Journal of Precision Engineering and Manufacturing
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• 제1권1호
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• pp.133-145
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• 2000

Plastic molding designers are frequently faced with optimizing multiple defects in injection molded parts. these defects are usually in conflict with each other, and thus a tradeoff needs to be made reach a final compromised solution. In this study, an automated injection molding design methodology has been developed to optimize multiple defects of injection molded parts. Two features of the proposed methodology are as follows: one is to apply the utility theory to transform the original multiple objective optimization problem into single objective optimization problem with utility as objective function, the other is an implementation of a direct search-based injection molding optimization procedure with automated consideration of process variation. The modified complex method is used as a general optimization tool in this research. The developed methodology was applied to an actual molding design and the results showed that the methodology was useful through the CAE simulation using a commercial injection molding software package. Applied to production, this study will be of immense value to industry in reducing the product development time and enhancing the product quality.

• 전기학회논문지
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• 제59권5호
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• pp.897-903
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• 2010

This paper presents a response surface method(RSM) with Latin Hypercube Sampling strategy, which is employed to optimize a magnet pole shape of large scale BLDC motor to minimize the cogging torque. The proposed LHS algorithm consists of the multi-objective Pareto optimization and (1+1) evolution strategy. The algorithm is compared with the uniform sampling point method in view points of computing time and convergence. In order to verify the developed algorithm, a 6 MW BLDC motor is simulated with 4 design parameters (arc length and 3 variables for magnet) and 4 constraints for minimizing of the cogging torque. The optimization procedure has two stages; the fist is to optimize the arc length of the PM and the second is to optimize the magnet pole shape by using the proposed hybrid algorithm. At the 3rd iteration, an optimal point is obtained, and the cogging torque of the optimized shape is converged to about 14% of the initial one. It means that 3 iterations aregood enough to obtain the optimal design parameters in the program.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2003년도 춘계학술대회
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• pp.564-569
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• 2003

During fuel irradiation tests, all parts of cylindrical structure with multiple holes act as heat sources due to fussion heal and ${\gamma}-flux$. The high temperature is especially generated over $2500^{\circ}C$ in the center of pellet. Due to the high temperature, many problems occur, such as melting of pellet and declining of heat transfer between cladding and coolant. [n this study, it is attempted 10 minimize the temperature of pellet using optimization method about geometric variables. For thermal and optimization analysis or structure. the finite element method code. ANSYS 5.7 is used. In this procedure. subproblem approximation method is used to the optimization methods. Through the optimum design process, the temperature of sealed basket type is reduced from $2537^{\circ}C$ to $2181^{\circ}C$ and the temperature of open basket type is reduced from $2560^{\circ}C$ to $2106^{\circ}C$.

• 한국해양공학회지
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• 제29권5호
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• pp.331-341
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• 2015

A degasser is a separation unit used in drilling to separate gas from the drilling mud. The degasser used in offshore drilling was developed at an early stage of drilling. Since its development, the design of the degasser’s internal structure has been optimized, with many limitations due to the restrictions of experimental and computational performance measurement methods. Despite the recent development of CFD technology for multiphase flow analysis, CFD has only been used in a limited way for degasser internal flow analysis and design optimization. In this study, a design optimization procedure for a degasser’s internal structure design was proposed, and CFD analyses of three types of internal structural designs were performed to evaluate the separation performance. The CFD result for each design type was used for the design optimization and, as the result, an optimized design is proposed.