• 제목/요약/키워드: Multi-Decomposition

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적합직교분해법을 이용한 항공기 날개 스킨 복합재 샌드위치 구조의 다분야 최적화 (Multi-disciplinary Optimization of Composite Sandwich Structure for an Aircraft Wing Skin Using Proper Orthogonal Decomposition)

  • 박찬우;김영상
    • 한국항공우주학회지
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    • 제47권7호
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    • pp.535-540
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    • 2019
  • MDO(Multi-disciplinary Optimization)를 위한 서로 다른 모델 간의 결합은 계산 프레임 워크의 복잡성을 크게 증가시키는 동시에 CPU 시간과 메모리 사용을 증가시킨다. 이러한 어려움을 극복하기 위해 POD(Proper Orthogonal Decomposition)와 RBF(Radial Basis Function)를 사용하여 복합 샌드위치 구조가 항공기 날개 스킨 재료로 사용될 때 복합재와 샌드위치 코어의 두께를 결정하는 최적화 문제의 해를 구했다. POD와 RBF를 사용하여 날개 형상과 하중 데이터에 대한 대리 모델을 만들었으며 대리 모델에 의해 얻어진 목적 함수 및 제약 함수 값을 사용하여 최적해를 구하였다.

Hierarchical Order Statistics Filtering for Fast Bi-Dimensional Empirical Mode Decomposition

  • Semiz, Serkan;Celebi, Anil;Urhan, Oguzhan
    • ETRI Journal
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    • 제38권4호
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    • pp.695-702
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    • 2016
  • A hierarchical approach for fast bi-dimensional empirical mode decomposition (B-EMD) is proposed. The presented approach utilizes an efficient window size determination scheme that enables the multi-level computation of the order statistics filter (OSF). Our detailed experiments show that the proposed OSF computation approach allows a significantly faster computation of an EMD without degrading the decomposition accuracy.

특이치 분해를 위한 최적의 2차원 멀티코어 시스템 탐색 (Exploration of an Optimal Two-Dimensional Multi-Core System for Singular Value Decomposition)

  • 박용훈;김철홍;김종면
    • 한국컴퓨터정보학회논문지
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    • 제19권9호
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    • pp.21-31
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    • 2014
  • 특이치 분해는 다양한 분야의 데이터 집단에서 고유한 특성을 찾는 특징 추출 분야에 많이 활용되고 있다. 하지만 특이치 분해의 복잡 행렬 연산은 많은 연산 시간을 요구한다. 본 논문에서는 특이치 분해의 대표적인 알고리즘인 one-sided block Jacobi를 고속 처리하기 위해 2차원 멀티코어 시스템을 이용하여 효율적으로 병렬 구현하고 성능을 향상시킨다. 또한, one-sided block Jacobi 알고리즘의 다양한 행렬 ($128{\times}128$, $64{\times}64$, $32{\times}32$, $16{\times}16$)을 서로 다른 2차원 PE 구조에 구현하고 성능 및 에너지를 분석함으로써 각 행렬에 대한 최적의 멀티코어 구조를 탐색한다. 더불어 동일한 행렬의 one-sided block Jacobi 알고리즘에 대해 선택된 멀티코어 구조와 상용 고성능 그래픽스 프로세싱 유닛 (GPU)과의 성능 비교를 통해 제안한 2차원 멀티코어 방법의 잠재 가능성을 확인한다.

고압전동기 고정자권선의 절연결함에 대한 특징추출기법 (Feature Extraction Technique for Insulation Fault of High Voltage Motor Stator Winding)

  • 박재준;이성룡;문대철
    • 한국전기전자재료학회논문지
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    • 제19권10호
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    • pp.976-983
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    • 2006
  • Multi-resolution Signal Decomposition (MSD) Technique of Wavelet Transform has interesting properties of capturing the embedded horizontal, vertical and diagonal variations within an image in a separable form. This feature was exploited to identify individual partial discharge sources present in multi-source PD pattern, usually encountered during practical PD measurement. Employing the Daubechies wavelet, feature were extracted from the third level decomposed and reconstructed horizontal and vertical component images. These features were found to contain the necessary discriminating information corresponding to the individual PD sources and multi-PD soruces.

가이디드 이미지 필터를 이용한 다중 스케일 분할 톤 매핑 기법 (Multi-scale Decomposition tone mapping using Guided Image Filter)

  • ;정제창
    • 방송공학회논문지
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    • 제23권4호
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    • pp.474-483
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    • 2018
  • 본 논문에서는 가이디드 이미지 필터를 이용한 다중 스케일 넓은 동적 영역 톤 매핑 알고리듬을 제안한다. 가이디드 이미지 필터는 이미지를 베이스 레이어와 디테일 레이어로 나누기 위해 사용된다. 이때 디테일 레이어의 동적 영역을 줄이기 위해 압축 함수가 사용된다. 하지만 대부분의 경우의 이미지는 다양한 스케일의 디테일과 에지 정보를 포함하고있다. 즉, 특정 스케일로 디테일 특성을 표현하는 것은 불가능하며 단일 스케일 이미지 분할 방법은 에지 주변에서 열화 현상을 야기시킨다. 이러한 문제를 해결하기 위해 다중 스케일 이미지 분할 방법을 제안한다. 다중 스케일의 디테일 레이어들을 이용하여 에지 보존 정도를 조절한다. 실험 결과를 통해 제안하는 알고리듬이 기존의 알고리듬 보다 에지 보존의 정도가 더 우수함을 보인다.

A method for underwater image analysis using bi-dimensional empirical mode decomposition technique

  • Liu, Bo;Lin, Yan
    • Ocean Systems Engineering
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    • 제2권2호
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    • pp.137-145
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    • 2012
  • Recent developments in underwater image recognition methods have received large attention by the ocean engineering researchers. In this paper, an improved bi-dimensional empirical mode decomposition (BEMD) approach is employed to decompose the given underwater image into intrinsic mode functions (IMFs) and residual. We developed a joint algorithm based on BEMD and Canny operator to extract multi-pixel edge features at multiple scales in IMFs sub-images. So the multiple pixel edge extraction is an advantage of our approach; the other contribution of this method is the realization of the bi-dimensional sifting process, which is realized utilizing regional-based operators to detect local extreme points and constructing radial basis function for curve surface interpolation. The performance of the multi-pixel edge extraction algorithm for processing underwater image is demonstrated in the contrast experiment with both the proposed method and the phase congruency edge detection.

An integrated system for synthesis of plant-wide control structure

  • Choi, In-Seok;Yoon, En-Sup
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 26-27 Oct. 1990
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    • pp.1265-1270
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    • 1990
  • A prototype integrated system and its theories for distributed SISO control structure synthesis of complete chemical plants is developed. The scope of this work includes control structure synthesis not only of simple units with unspecified control loops but also of the complex process at preliminary and basic design stage. Hierarchical approach and dual-decomposition strategy (that is multi-layer decomposition and multi-echelon decomposition) is applied to this system. Because automatic control structure synthesis of complex plants is a problem defined as a series of knowledge-intensive tasks within multiple spaces, the established methodology is complemented by not only techniques from knowledge-based expert systems but also shortcut and rigorous control theories. This system is used for education of control designers, process engineers, operators and students as well as for operability studying, in-line and on-line process control structure synthesis.

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ADM 기반 분산처리 최적조류계산을 이용한 다지역 제약급전계획 알고리즘 (Constrained Multi-Area Dispatch Scheduling Algorithm with Regionally Distributed Optimal Power Flow Using Alternating Direction Method)

  • 정구형;김발호;이종주;김학만
    • 전기학회논문지P
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    • 제59권3호
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    • pp.245-252
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    • 2010
  • This paper proposes a constrained multi-area dispatch scheduling algorithm applicable to interconnected power system operations. The dispatch scheduling formulated as an MIP problem can be efficiently computed by GBD algorithm. GBD guarantees adequate computation speed and solution convergence by reducing the dimension of the dispatch scheduling problem. In addition, the regional decomposition technique based on ADM is introduced to obtain efficient inter-temporal OPF solution. It can find the most economic dispatch schedule incorporating power transactions without each regional utility's private information open.

Modal transformation tools in structural dynamics and wind engineering

  • Solari, Giovanni;Carassale, Luigi
    • Wind and Structures
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    • 제3권4호
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    • pp.221-241
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    • 2000
  • Structural dynamics usually applies modal transformation rules aimed at de-coupling and/or minimizing the equations of motion. Proper orthogonal decomposition provides mathematical and conceptual tools to define suitable transformed spaces where a multi-variate and/or multi-dimensional random process is represented as a linear combination of one-variate and one-dimensional uncorrelated processes. Double modal transformation is the joint application of modal analysis and proper orthogonal decomposition applied to the loading process. By adopting this method the structural response is expressed as a double series expansion in which structural and loading mode contributions are superimposed. The simultaneous use of the structural modal truncation, the loading modal truncation and the cross-modal orthogonality property leads to efficient solutions that take into account only a few structural and loading modes. In addition the physical mechanisms of the dynamic response are clarified and interpreted.

Singular Value Decomposition Approach to Observability Analysis of GPS/INS

  • Hong, Sin-Pyo;Chun, Ho-Hwan
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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    • pp.133-138
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    • 2006
  • Singular value decomposition (SDV) approach is applied to the observability analysis of GPS/INS in this paper. A measure of observability for a subspace is introduced. It indicates the minimum size of perturbation in the information matrix that makes the subspace unobservable. It is shown that the measure has direct connections with observability of systems, error covariance, and singular structure of the information matrix. The observability measure given in this paper is applicable to the multi-input/multi-output time-varying systems. An example on the observability analysis of GPS/INS is given. The measure of observability is confirmed to be less sensitive to system model perturbation. It is also shown that the estimation error for the vertical component of gyro bias can be considered unobservable for small initial error covariance for a constant velocity horizontal motion.

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