• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 춘계학술대회
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• pp.1017-1022
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• 2004

Though the standard element density-based topology optimization method has been applied for the optimal design of multiphysics systems, some theoretical problems, such as material interpolation, undershoot temperature prediction, and unstable elements, still remain to be overcome. The objective of this investigation is to present a new topology optimization formulation based on the element connectivity parameterization (ECP) in order to avoid the numerical problems in multiphysics system design and improve optimization results. To show the validity of the proposed approach, the designs of an optimal thermal dissipation and an electro-thermal-compliant actuator were considered.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 추계학술대회논문집
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• pp.475-478
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• 2005

Calculation of wear depth with regard to the wear topology is peformed numerically Four typical wear topology, that is round, crescent, flat, and diamond types are adopted to represent the configuration of wear volume. Diamond and flat types are the most severe topology for wear depth history, whereas round and crescent types have small increasing rate of wear depth to the wear volume. Based on this study we can guess that the most severe wear phenomena happens to be upper side of U-tubes in the KSNP SG, because flat or diamond wear will be generated by the wearing motion between tubes and diagonal, vertical, horizontal strips. The misalignment of tube at the stage of manufacturing or distortion of upper structure due to the thermal expansion or vibration of upper structure such as diagonal, vertical, and horizontal strips will be one of the main causes of flat or diamond wear.

• 지능정보연구
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• 제16권3호
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• pp.1-14
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• 2010

역전파 알고리즘은 오랫동안 부도예측모형 관련한 연구에 많이 적용되어왔다. 역전파 알고리즘을 사용하기전에 필히 고려해야 할 중요한 요소들로는 네트워크 구조, 학습요소, 정규화 방법 등이다. 하지만 신경망 성과를 향상시키기 위한 네트워크 구조 및 학습요소 최적화 관련한 연구는 기존의 연구들에서 많이 이루어 졌지만 데이터 정규화와 관련한 연구는 아직 많이 이루어지지 않았다. 따라서 본 연구에서는 유전자 알고리즘을 기반으로 하는 정규화 기법을 제시하였다. 최적의 입력데이터 정규화를 위하여 본 연구에서는 우선 각각의 서로 다른 정규화 기법들을 동일 가중치를 두어 일반화 시켰으며 유전자 알고리즘을 이용하여 최적의 가중치를 찾음으로써 최적화된 입력변수 정규화가 이루어지도록 하였다. 제안한 방법론을 검증하기 위하여 부도예측 데이터를 이용하여 실험을 하였으며 제안하는 방법과 기존 다른 방법들간의 비교를 통하여 그 타당성을 검증하였다.

• 한국지능시스템학회논문지
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• 제6권2호
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• pp.13-21
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• 1996

하이오더 신경망에 대한 필요성과 유용성에 대해서는 신경망 연구의 초기부터 잘 알려져 있다. 그러나 오더가 늘어남에 따라 항의 수가 급격히 증가하는 문제로 인하여 이러한 망을 설계하고 학습하는데 많은 어려움이 있었다. 본 논문에서는 문제에 적합한 하이오더 신경망 모델을 효율적으로 구성하기 위한 진화적 학습 방법을 제시한다. 이 방법에서는 시그마유닛과 파이유닛을 융합한 신경트리 표현을 사용한다. 또한 MDL기반의 적합도 분류 및 예측 문제에 있어서 제시된 방법의 유용성을 검증한다.

• 한국소음진동공학회논문집
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• 제19권12호
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• pp.1356-1363
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• 2009

The aim of this research is to construct eigenfrequency optimization codes for plates with Arbitrary Rank Microstructures. From among noise factors, resonance sound is main reason for floor's solid noise. But, Resonance-elusion design codes are not fixed so far. Besides, The prediction of composite material's capability and an resonance elusion by controlling natural frequency of plate depend on designer's experiences. In this paper, First, using computer program with arbitrary rank microstructure, variation on composite material properties is studied, and then natural frequency control is performed by plate topology optimization method. The results of this study are as followed. 1) Programs that calculate material properties along it's microstructure composition and control natural frequency on composite material plate are coded by Homogenization and Topology Optimization method. and it is examined by example problem. 2) Equivalent material properties, calculated by program, are examined for natural frequency. In this paper, Suggested programs are coded using $Matlab^{TM}$, Feapmax and Feap Library with Homogenization and Topology Optimization method. and Adequacy of them is reviewed by performing the maximization or minimization of natural frequency for plates with isotropic or anisotropic materials. Since the programs has been designed for widely use. If the mechanism between composite material and other structural member is identified, extension application may be possible in field of structure maintenance, reinforcement etc. through application of composite material.

• Journal of Ship and Ocean Technology
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• 제5권2호
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• pp.27-48
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• 2001

Turbulent flow calculations are performed for the two modern practical VLCCs with the sable forebody and the slightly different afterbody, i.e. KVLCC and KVLCC2. Three $\textsc{k}-\varepsilon$ turbulence models are tested to investigate the differences caused by the turbulence models. The calculated results around the two VLCC hull forms using O-O grid topology and profile-fitted surface meshes are compared to the measured data from towing tank experiment. The realizable $\textsc{k}-\varepsilon$model provided realistic wake distribution with hook-like shape, while the standard and RNG-based $\textsc{k}-\varepsilon$models failed. It is very encouraging to see that the CFD with relatively simple turbulence closure can tell the difference quantitatively as well as qualitatively for the two hull forms with stern frameline modification.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1994년도 하계학술대회 논문집 A
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• pp.459-461
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• 1994

This paper proposed a new converter topology improving the split source type converter. In this converter. two switches and six diodes add to the split source type converter. The proposed converter has a performance minimized a negative torqe, putting a phase current off by double impressed voltage 2Vdc. Hence, a new converter results in increase of the average output power and improves converter efficiency in heavy load and high speed. Theoretical prediction is verified by experimental results got with a new proposed converter and 8/6 poles SRM.

• Journal of information and communication convergence engineering
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• 제6권4호
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• pp.383-390
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• 2008

Clock skew modeling is important in the performance evaluation and prediction of clock distribution network and it is one of the major constraints for high-speed operation of synchronous integrated circuits. In clock routing synthesis, it is necessary to reduce the clock skew under the specified skew bound, while minimizing the cost such as total wire length and delay. In this paper, a new efficient bounded clock skew routing method is described, which generalizes the well-known bounded skew tree method by allowing loops, i.e., link-edges can be inserted to a clock tree when they are beneficial to reduce the clock skew and/or the wire length. Furthermore, routing topology construction and wire sizing is used to reduce clock delay.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2004년도 추계 학술대회 논문집
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• pp.13-18
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• 2004

In this study, a new method is proposed generating 3D wire-frames of building using the lowest level topology, points, which are input by human operators. Through the procedure, it is possible to make prediction occlusion points and generate the topology automatically among points, lines, surfaces from buildings. In order to adjust the error of initial values which are input manually, the least squares adjustment for model-image fitting is carried out using the edge information of aerial imagery. And also, model fitting procedure is done making all surfaces plane of buildings by the least squares adjustment. As a result of those procedure, 3D building models are refined similar to real figures of buildings.

• 한국통신학회논문지
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• 제31권6B호
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• pp.534-543
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• 2006

무선 애드 혹/센서 네트워크에서 제안된 일반적인 클러스터링 기반의 계층적 토폴로지 관리 기법들은 빈번한 토폴로지 변화에 따라 자주 클러스터링을 재구성하게 되고 네트워크 관리에 필요한 오버헤드가 증가하게 된다. 본 논문에서는 이러한 재클러스터링 문제와 부하 분산을 위하여 동적 예비 클러스터 헤드 기법을 사용하는 멀티 흡클러스터링 알고리즘을 제안한다. 제안하는 기법은 이동성과 전원 레벨로 구성된 가중치 맵을 사용하여 예비 클러스터 헤드를 선출하고 멀티 홉 클러스터를 구성한다. 클러스터 헤드는 이러한 가중치 맵과 임계값을 사용하여 헤드의 역할을 예비 클러스터 헤드에게 넘겨주게 된다. 실험결과, 제안하는 알고리즘이 네트워크의 오버헤드를 줄이고 부하 분산을 제공하며, 토폴로지 변화에 무관하게 적절한 클러스터와 멤버를 관리할 수 있음을 확인하였다.