• 한국전산구조공학회논문집
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• 제20권1호
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• pp.9-18
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• 2007

본 연구에서는 위상최적화 알고리즘의 수렴성을 개선하기 위해 설계영역에 초기 구멍을 도입하는 방법을 제시하는데, 이것은 경계면에 기초한 최적화 방법의 느린 수렴성을 완화하기 위해, Eschenauer et al.에 의해 고안된 버블 방법의 설계영역 안에 구멍을 도입하는 개념과 연계된다. 버블 방법과 달리, 제안된 방법에서는 최적화 과정동안 구멍의 위치를 정의하는 특성함수를 이용하지 않고, 최적화 초기화 단계에서만 초기 구멍을 도입하는데, 이러한 초기 설계영역 안의 솔리드와 보이드 영역들은 고정되는 것이 아니라 합쳐지거나 쪼개지면서 변화된다. 따라서 위상최적화 알고리즘에서 구멍의 이동에 관련된 복잡한 수치적인 계산 없이 자동적으로 설계변수의 유한변화를 더욱 강화시키기 때문에 목적함수 값의 수렴성을 개선할 수 있다. 본 논문에서는 다양한 치수와 형상의 구멍을 포함하는 초기 설계영역을 가지는 Michell형 보의 위상 최적설계를 밀도분포법으로 불리는 SIMP를 이용하여 수행하였다. 이를 통해 위상최적화의 수렴성을 개선하고 최적위상과 형상에 영향을 미치는 초기 구멍의 효과를 검증하였다.

• 한국생산제조학회지
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• 제20권4호
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• pp.412-418
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• 2011

Reliability-based Topology optimization(RBTO) is to get an optimal design satisfying uncertainties of design variables. Although RBTO based on homogenization and density distribution method has been done, RBTO based on BESO has not been reported yet. This study presents a reliability-based topology optimization(RBTO) using bi-directional evolutionary structural optimization(BESO). Topology optimization is formulated as volume minimization problem with probabilistic displacement constraint. Young's modulus, external load and thickness are considered as uncertain variables. In order to compute reliability index, four methods, i.e., RIA, PMA, SLSV and ADL(adaptive-loop), are used. Reliability-based topology optimization design process is conducted to obtain optimal topology satisfying allowable displacement and target reliability index with the above four methods, and then each result is compared with respect to numerical stability and computing time. The results of this study show that the RBTO based on BESO using the four methods can effectively be applied for topology optimization. And it was confirmed that DLSV and ADL had better numerical efficiency than SLSV. ADL and SLSV had better time cost than DLSV. Consequently, ADL method showed the best time efficiency and good numerical stability.

• 한국콘텐츠학회논문지
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• 제8권1호
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• pp.290-299
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• 2008

본 논문에서는 하이브리드 공간 DBMS에서 질의 분류를 이용한 최적화 기법을 제안한다. 제안 기법은 질의에 이용되는 데이터의 위치에 따라 메모리 질의, 디스크 질의, 하이브리드 질의로 분류하여 처리한다. 특히, 하이브리드 질의의 경우에는 실체화 뷰의 사용률을 높이기 위해 실체화 뷰 생성 조건과 사용자 질의 조건을 비교하여 술어를 분할하는 메커니즘을 적용한다. 또한 질의를 최적화하기 위해 분류된 질의의 비용 계산 결과를 이용하여 최소 비용의 데이터 접근 경로를 선택할 수 있는 데이터 접근 경로 선택 알고리즘을 제안한다. 제안 기법은 대용량 데이터 관리와 빠른 응답 속도를 동시에 만족하는 하이브리드 공간 DBMS의 성능을 기존의 디스크 기반 공간 DBMS보다 최소 20%에서 최대 50%의 성능 향상을 보인다.

• Journal of Communications and Networks
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• 제15권5호
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• pp.527-537
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• 2013

Improving resource utilization has been a hot issue in heterogeneous wireless networks (HWNs). This paper proposes a radio resource management (RRM) method based on access proportion optimization. By considering two or more wireless networks in overlapping regions, users in these regions must select one of the networks to access when they engage in calls. Hence, the proportion of service arrival rate that accesses each network in the overlapping region can be treated as an optimized factor for the performance analysis of HWNs. Moreover, this study considers user mobility as an important factor that affects the performance of HWNs, and it is reflected by the handoff rate. The objective of this study is to maximize the total throughput of HWNs by choosing the most appropriate factors. The total throughput of HWNs can be derived on the basis of a Markov model, which is determined by the handoff rate analysis and distribution of service arrival rate in each network. The objective problem can actually be expressed as an optimization problem. Considering the convexity of the objective function, the optimization problem can be solved using the subgradient approach. Finally, an RRM optimization scheme for HWNs is proposed. The simulation results show that the proposed scheme can effectively enhance the throughput of HWNs, i.e., improve the radio resource utilization.

• 한국에너지공학회:학술대회논문집
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• 한국에너지공학회 1997년도 추계학술발표회 논문집
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• pp.17-23
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• 1997

A methodology for on-line data reconciliation and optimization has been proposed to minimize the energy cost of a utility system. As industrial data tend to be corrupted by noise or gross error, fast and robust data reconciliation technique is essential for the on-line optimization of utility system. Thus, we propose the hierarchical decomposition approach that can be applicable to on-line data reconciliation and optimization. As this approach divides whole system into several subsystems and removes the nonlinearity of constraint systematically, it handles complexity of system easily and shows good performance in accuracy and computation speed. Through case studies, we prove that this methodology is a good candidate for on-line data reconciliation and optimization.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2011년도 추계학술대회 논문집
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• pp.279-284
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• 2011

The calculation of Zwicker's loudness which is needed for multiple frequency response with a fine frequency resolution using the finite element (FE) procedure usually requires significant computation time since a numerical solution must be obtained for each considered frequency. Furthermore, if the analysis is the basis for an iterative optimization procedure this approach imposes high computational cost. In this work, we present an efficient approach for obtaining Zwicker's loudness via the Pad$\acute{e}$ approximants and applying in an acoustical topology optimization procedure. The paper is focused on an efficient and accurate calculation of Zwicker's loudness, design sensitivity analysis, and the acoustical topology optimization method by using Pad$\acute{e}$ approximants. The paper compares the efficient algorithm to results obtained by a standard FEM. Comparison are made both in terms of accuracy and in terms of CPU-times needed for the calculation.

• 한국소음진동공학회논문집
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• 제24권10호
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• pp.809-816
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• 2014

This paper presents a systematic optimization process for designing an electromagnetic vibration energy harvester using FEA(finite element analysis) to improve computational accuracy and efficiency. A static FEA is used in the optimization process where trend analysis in a short period of time is rather important than precise computation, while a dynamic FEA is used in the verification step for the final result where precise computation is more important. An electromechanical transduction factor can be calculated efficiently by using an approach to use the radial component of magnetic flux density directly instead of an approach to compute the flux density gradient. The proposed optimization process was verified through a case study where simulation and experiment results were compared.

• International Journal of Naval Architecture and Ocean Engineering
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• 제3권4호
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• pp.254-262
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• 2011

This study aims to optimize an arrangement of ship compartments with knowledge-based systems. Though great attention has been shown to the optimization of hull forms in recent years, the study on arrangement design optimization has received relatively little attention. A ship is both an engineering system and a kind of assembly of many spaces. This means that, to design an arrangement of ship compartments, it is necessary to treat not only geometric data but also knowledge on topological relations between spaces and components of a ship. In this regard, we select a suitable knowledge representation scheme for describing ship compartments and their relations, and then develop a knowledge-based system using expert system shell. This new approach is applied to create design variations for optimization on an arrangement of a pressure hull of a submerged vehicle. Finally, we explicate how our approach improves the design process.

• KIEE International Transactions on Power Engineering
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• 제5A권3호
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• pp.303-308
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• 2005

The restructure of the electrical power industry is accompanied by the extension of the electrical power exchange. One of the key pieces of information used to determine how much power can be transferred through the network is known as available transfer capability (ATC). The traditional ATC deterministic approach is based on the severest case and it involves a complex procedure. Therefore, a novel approach for A TC calculation is proposed using cost optimization in this paper. The Jeju Island interconnected HVDC system has inland KEPCO (Korean Electric Power Corporation) systems, and its demand is increasing at the rate of about $\10[%]$ annually. To supply this increasing demand, the capability of the HVDC system must be enlarged. This paper proposes the optimal transfer capability of the HVDC system between Haenam in the inland and Jeju in Cheju Island through cost optimization. The cost optimization is based on generating cost in Jeju Island, transfer cost through Jeju-Haenam HVDC system and outage cost with one depth (N-1 contingency).

• 품질경영학회지
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• 제30권4호
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• pp.58-67
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• 2002

Since the inception of off-line quality control, it has drawn a particular attention from research community and it has been implemented in a wide variety of industries mainly due to its extensive applicability to numerous real situations. Emphasizing design issues rather than control issues related to manufacturing processes, off-line quality control has been recognized as a cost-effective approach to quality improvement. It mainly consists of three design stages: system design, parameter design, and tolerance design which are implemented in a sequential manner. Utilizing experimental designs and optimization techniques, off-line quality control is aimed at achieving product performance insensitive to external noises by reducing process variability. In spite of its conceptual soundness and practical significance, however, off-line quality control has also been criticized to a great extent due to its heuristic nature of investigation. In addition, it has also been pointed out that the process optimization procedures are inefficient. To enhance the current practice of off-line quality control, this study proposes an integrated optimization model by utilizing a well-established statistical tool, so called response surface methodology (RSM), and a tolerance - cost relationship.