• Title/Summary/Keyword: Singular value

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Study on the Behavior of a Center Crack under Thermal Impact by the Dislocation Theory (전위이론에 의한 열충격하의 균열거동에 관한 연구)

  • Cho, Chong-Du;Ahn, Soo-Ick
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.10
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    • pp.3408-3414
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    • 1996
  • This paper investigated plane strain stress intensity factors caused by thermal impact on a center-crack strip. The crack was aligned perpendicularly to the strip boundary. The problem was analysed by determining the dislocation density function in the singular integral equations formulated by the dislocation theory. Under the abrupt temperature change along the edge, the center crack behaved as a mode I crack due to the symmetric geometry. The value of maximum stress intensity factor monotonically increased until the ratio of dimensionless crack length approached to about 0.3, followed by gradual decrease. As a result, a critical corresponding crack length was determined.

Vibration Control of a Glass-Fiber Reinforced Termoplastic Composite Beam (유리섬유를 함유한 열가소성 복합재 보의 진동제어)

  • 권대규;윤여흥;이성철
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.11-14
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    • 2000
  • This paper presents the vibration control of a glass-fiber reinforced thermoplastic composite beam with a distributed PVDF sensor and piezo-ceramic achlator. The three types of different controllen which are PID, H$\infty$ , and p-synthesis ontrollcr are employed to achieve vibration suppression in the transient vibration of composite beam. In the H$\infty$ , controller design, 1st and 2nd natural frequencies are considered in the modeling, because robust control theory which has robustness to struchred uncertainty is adopled Lo suppress the vibration. If the controller designed by H$\infty$ , theory does not satisfy control performance, it is improved by $\mu$ -synthesis method with D-K iteration so that the$\mu$-contoller based on the structured singular value satisfies the nominal performance and robust performance Simulations and experiments were carried out with the designed controllers m order to demonstrate the suppression efficiency of each controller.

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A Study on the Modal Parameter Identification of a Ship using Operational Modal Analysis (실험 및 실선 계측을 통한 진동특이치 평가에 관한 연구)

  • Kim, Byoung-Ook;Jin, Bong-Man;Kong, Young-Mo
    • Journal of Advanced Marine Engineering and Technology
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    • v.33 no.4
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    • pp.497-501
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    • 2009
  • When modal tests on the large structures and machinery are performed, it is in general difficult and inaccurate to use artificial excitation devices such as impact hammers, because of insufficient capacity of the device and different environmental conditions of the concerned structures. Therefore, the Operational Modal Analysis(OMA) technique, which is performed by measuring only vibration responses during the operation of the objective product, can be one alternative. In this paper, the way to identify natural frequencies, mode shapes and damping ratios of a ship by using the OMA during the sea trail is described.

Image segmentation by fusing multiple images obtained under different illumination conditions (조명조건이 다른 다수영상의 융합을 통한 영상의 분할기법)

  • Chun, Yoon-San;Hahn, Hern-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.1 no.2
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    • pp.105-111
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    • 1995
  • This paper proposes a segmentation algorithm using gray-level discontinuity and surface reflectance ratio of input images obtained under different illumination conditions. Each image is divided by a certain number of subregions based on the thresholds. The thresholds are determined using the histogram of fusion image which is obtained by ANDing the multiple input images. The subregions of images are projected on the eigenspace where their bases are the major eigenvectors of image matrix. Points in the eigenspace are classified into two clusters. Images associated with the bigger cluster are fused by revised ANDing to form a combined edge image. Missing edges are detected using surface reflectance ration and chain code. The proposed algorithm obtains more accurate edge information and allows to more efficiently recognize the environment under various illumination conditions.

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A model-based fault diagnosis in uncertain systems

  • Kwon, Oh-Kyu;Sung, Yul-Wan
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10b
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    • pp.1210-1215
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    • 1990
  • This paper deals with the fault diagnosis problem in uncertain linear systems having undermodelling, linearization errors and noise inputs. The new approach proposed in this paper uses an appropriate test variable and the difference between system parameters which are estimated by the least squares method to locate the fault. The singular value decomposion is used to decouple the correlation between the estimated system parameters and to observe the trend of parameter changes. Some simulations applied to aircraft ergines show good allocation of the fault even though the system model has significant uncertainties. The feature of the approach is to diagnose the uncertain system through simple parameter operations and not to need complex calculations in the diagnosis procedure as compared with other methods.

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Conceptual Interlingua Construction for Korean-English Query Translation (한영 질의어 변환을 위한 공통 중간개념 구축)

  • Choi, Yong-Seok;Seo, Chung-Won;Shin, Sa-Im;Kim, Jae-Ho;Choi, Key-Sun
    • Annual Conference on Human and Language Technology
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    • 2001.10d
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    • pp.422-427
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    • 2001
  • 질의어 변환 방법은 다국어 정보검색을 위한 방법중에 효율적인 방법이다. 양질의 질의어 변환을 위해서, 사전, 온톨로지, 병렬 코퍼스 통과 같은 자연언어 자원이 필요하다. 이러한 자연언어 자원은 양질로 대량으로 구축하려면 많은 비용이 튼다는 단점이 있다. 본 논문에서는 한영 질의어 변환에 적용할 수 있는 공통 중간개념 구축방법을 제안한다. 공통 중간개념은 동사들의 축으로 이루어지며, 통사들은 기본동사들의 조합으로 표현한수 있다고 가정한다. 공통 중간개념은 적은 자연언어 자원을 효율적으로 이용할 수 있도록 한다. 본 논문에서는 기본 동사 축을 특이값 분해(singular value decomposition) 방법으로 구하고, 그 기본 동사 축을 이용해서 질의어 변환하는 방법을 보여준다.

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Object Recognition Using the Edge Orientation Histogram and Improved Multi-Layer Neural Network

  • Kang, Myung-A
    • International Journal of Advanced Culture Technology
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    • v.6 no.3
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    • pp.142-150
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    • 2018
  • This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the edge orientation histogram and principle component analysis. By using the detected object region as a recognition input image, in this paper the object recognition method combined with principle component analysis and the multi-layer network which is one of the intelligent classification was suggested and its performance was evaluated. As a pre-processing algorithm of input object image, this method computes the eigenspace through principle component analysis and expresses the training images with it as a fundamental vector. Each image takes the set of weights for the fundamental vector as a feature vector and it reduces the dimension of image at the same time, and then the object recognition is performed by inputting the multi-layer neural network.

A Study on SVD & DWT -based watermarking for protecting rightful ownership (정당한 소유권 보호를 위한 DWT와 SVD기반의 디지털 워터마킹에 대한 연구)

  • 구대욱;한수영;이동규;이두수
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1815-1818
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    • 2003
  • Digital watermarking is technique, which owner's information is inserted in digital image, with intention to protecting a copyright of digital image. In watermarking for copyright and authentication, watermark shouldn't be distorted or disappeared after general image processes like a compression and filtering. In this paper, we present a new digital image watermarking algorithm which combines the discrete wavelet transform (DWT) and the singular value decomposition (SVD). Simulation results show that the newly proposed algorithm is not only robust nevertheless variable attacks like noise, filtering and JPEG compression but also secure in application.

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Pose Invariant 3D Face Recognition (포즈 변화에 강인한 3차원 얼굴인식)

  • 송환종;양욱일;이용욱;손광훈
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2000-2003
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    • 2003
  • This paper presents a three-dimensional (3D) head pose estimation algorithm for robust face recognition. Given a 3D input image, we automatically extract several important 3D facial feature points based on the facial geometry. To estimate 3D head pose accurately, we propose an Error Compensated-SVD (EC-SVD) algorithm. We estimate the initial 3D head pose of an input image using Singular Value Decomposition (SVD) method, and then perform a Pose refinement procedure in the normalized face space to compensate for the error for each axis. Experimental results show that the proposed method is capable of estimating pose accurately, therefore suitable for 3D face recognition.

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THE GENERAL HERMITIAN NONNEGATIVE-DEFINITE AND POSITIVE-DEFINITE SOLUTIONS TO THE MATRIX EQUATION $GXG^*\;+\;HYH^*\;=\;C$

  • Zhang, Xian
    • Journal of applied mathematics & informatics
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    • v.14 no.1_2
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    • pp.51-67
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    • 2004
  • A matrix pair $(X_0,\;Y_0)$ is called a Hermitian nonnegative-definite(respectively, positive-definite) solution to the matrix equation $GXG^*\;+\;HYH^*\;=\;C$ with unknown X and Y if $X_{0}$ and $Y_{0}$ are Hermitian nonnegative-definite (respectively, positive-definite) and satisfy $GX_0G^*\;+\;HY_0H^*\;=\;C$. Necessary and sufficient conditions for the existence of at least a Hermitian nonnegative-definite (respectively, positive-definite) solution to the matrix equation are investigated. A representation of the general Hermitian nonnegative-definite (respectively positive-definite) solution to the equation is also obtained when it has such solutions. Two presented examples show these advantages of the proposed approach.