• 제목/요약/키워드: Weight Function Method

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적응적 가중치 함수를 이용한 모션 벡터의 필터링 (Filtering Motion Vectors using an Adaptive Weight Function)

  • 장석우;김진욱;이근수;김계영
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제31권11호
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    • pp.1474-1482
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    • 2004
  • 본 논문에서는 적응적 가중치 함수를 이용하여 블록 단위의 모션 벡터를 필터링하는 방법을 제안한다. 제안하는 방법에서는 먼저 인접한 영상을 받아 들여 가변적 크기의 블록 정합 방법을 이용하여 모션 벡터를 추출한다. 그리고 추출된 모션 벡터를 강건 예측에 적용하여 아웃라이어(outlier)를 제거함으로써 강건 예측에서 사용하는 동작 모델에 근접한 모션 벡터만을 추출한다. 제안된 적응적 강건 예측은 연속적인 시그모이드 가중치 함수를 사용하여 정상 자료와 아웃라이어의 소속 정도를 보다 효과적으로 표현한다. 또한, 최소화 기법의 반복 단계에서 잔여에러가 감소함에 따라 점진적으로 시그모이드 가중치 함수를 조율함으로써 정상 자료와 아웃라이어를 보다 유연하게 분리한다. 실험에서는 카메라의 동작이 포함된 비디오 데이타를 입력 받아 성능을 비교 분석함으로써 제안한 방법의 우수함을 보인다.

Weighted Support Vector Machines with the SCAD Penalty

  • Jung, Kang-Mo
    • Communications for Statistical Applications and Methods
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    • 제20권6호
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    • pp.481-490
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    • 2013
  • Classification is an important research area as data can be easily obtained even if the number of predictors becomes huge. The support vector machine(SVM) is widely used to classify a subject into a predetermined group because it gives sound theoretical background and better performance than other methods in many applications. The SVM can be viewed as a penalized method with the hinge loss function and penalty functions. Instead of $L_2$ penalty function Fan and Li (2001) proposed the smoothly clipped absolute deviation(SCAD) satisfying good statistical properties. Despite the ability of SVMs, they have drawbacks of non-robustness when there are outliers in the data. We develop a robust SVM method using a weight function with the SCAD penalty function based on the local quadratic approximation. We compare the performance of the proposed SVM with the SVM using the $L_1$ and $L_2$ penalty functions.

단위 분할법에 의한 무요소법의 형상함수와 3차원 적용 (A Shape Function for Meshless Method Using Partition Unity Method and Three-dimensional Applications)

  • 남용윤
    • 연구논문집
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    • 통권28호
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    • pp.123-135
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    • 1998
  • A shape function for element free Galerkin method is carved from Shepard interpolant of singular weight and consistency condition. Thus present shape function is an interpolation and has no singularities. The shape function is applied to cantilever bending problems and gives good results in comparison with beam theory. Finally it is shown that the coupling with finite element method is made easily without any additional treaties.

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가중함수법을 이용한 두꺼운 배관의 응력강도계수 계산 (Calculation of Stress Intensity Factors for a Thick Pipe Using Weight Function Method)

  • 이형연;이재한;유봉
    • 대한기계학회논문집A
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    • 제20권7호
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    • pp.2167-2173
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    • 1996
  • An approximate weight function technique using the indirect boundary integral equation has been presented for the analysis of stress intensity foactors(SIFs) of a thick pipe. One-term boundary integral was introduced to represent the crack surface displacement field for the displacement based weight function technique. An explicit closed-form SIF solution applicable to symmetric cracked pipes without any modification of the solution including both circumferential and radial cracks has been derived. The necessary information in the analysis is two or three reference SIFs. In most cases the SIF solution were in good agreement with those available in the literature.

가중함수이론을 이용한 선형이방성재료에서의 Mode III 균열해석 (Weight Function Theory for a Mode III Crack In a Rectilinear Anisotropic Material)

  • 안득만;권순홍
    • 한국해양공학회지
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    • 제23권1호
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    • pp.146-151
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    • 2009
  • In this paper, a weight function theory for the calculation of the mode III stress intensity factor in a rectilinear anisotropic body is formulated. This formulation employs Lekhnitskii's formalism for two dimensional anisotropic materials. To illustrate the method used for the weight function theory, we calculated the mode III stress intensity factor in a single edge-notched configuration.

부분구조합성에 의한 동력전달기의 진동해석에 관한 연구 (A Study on the Vibration Analysis of a Power Transmission by Substructure Synthesis Method)

  • 박석주;박성현;박영철
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2001년도 추계학술대회논문집 I
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    • pp.161-166
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    • 2001
  • This study intends to reduce the weight of structure without changing the dynamic characteristics. At first, the Vibration analyses by the Substructure Synthesis Method and FEM using the ANSYS are performed for the engine speed converter to confirm the reliability of the analyzing tools. Weight minimization is performed by the Sensitivity Analysis and the Optimum Structural Modification. To decrease the converter weight ideally, the parts with low sensitivity are to be cut mainly, and the changing quantity of the natural frequency by the cut is to be recovered by the weight modification of the parts with high sensitivity. As the unique mathematical solution for the homogeneous problem( i.e. 0 object function problem) does not exist, the converter is redesigned with much thinner initial thickness. The goal of this study is to recover the dynamic characteristics of redesigned structure to those of the original one. To say in the other words, the modified structure has the same dynamic characteristics and the more lighter weight to compare with the original one. In this analysis, the modification was performed with the redesigned initial thickness of 60 mm and 70 mm. And the numbers of the interesting natural frequencies are 1, 2, 4 respectively. Consequently 27% of weight reduction effects were earned.

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ON CONSTRUCTING A HIGHER-ORDER EXTENSION OF DOUBLE NEWTON'S METHOD USING A SIMPLE BIVARIATE POLYNOMIAL WEIGHT FUNCTION

  • LEE, SEON YEONG;KIM, YOUNG IK
    • 충청수학회지
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    • 제28권3호
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    • pp.491-497
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    • 2015
  • In this paper, we have suggested an extended double Newton's method with sixth-order convergence by considering a control parameter ${\gamma}$ and a weight function H(s, u). We have determined forms of ${\gamma}$ and H(s, u) in order to induce the greatest order of convergence and established the main theorem utilizing related properties. The developed theory is ensured by numerical experiments with high-precision computation for a number of test functions.

Distance Error Weight Function을 이용한 이동 로봇의 위치 추정 시스템의 설계 (Position Estimation of a Mobile Robot using Distance Error Weight Function)

  • 고재원;박재준;이기철;박민용
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 G
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    • pp.3048-3050
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    • 1999
  • This paper suggests a position estimating algorithm using mono vision system with projective geometry method. Generally, 3-D information can not be easily extracted from mono vision system which is taken by a camera at a specific point. But this defect is overcome by adopting model-based image analysis and selecting lines and points on the ground as natural landmarks. And this paper suggests a method that estimates position from many natural landmarks by distance error weight function.

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On a Modified k-spatial Medians Clustering

  • Jhun, Myoungshic;Jin, Seohoon
    • Journal of the Korean Statistical Society
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    • 제29권2호
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    • pp.247-260
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    • 2000
  • This paper is concerned with a modification of the k-spatial medians clustering. To find a suitable number of clusters, the number k of clusters is incorporated into the k-spatial medians clustering criterion through a weight function. Proposed method for the choice of the weight function offers a reasonable number of clusters. Some theoretical properties of the method are investigated along with some examples.

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Simplified Machine Diagnosis Techniques Using ARMA Model of Absolute Deterioration Factor with Weight

  • Takeyasu, Kazuhiro;Ishii, Yasuo
    • Industrial Engineering and Management Systems
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    • 제8권4호
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    • pp.247-256
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    • 2009
  • In mass production industries such as steel making that have large equipment, sudden stops of production process due to machine failure can cause severe problems. To prevent such situations, machine diagnosis techniques play important roles. Many methods have been developed focusing on this subject. In this paper, we propose a method for the early detection of the failure on rotating machine, which is the most common theme in the machine failure detection field. A simplified method of calculating autocorrelation function is introduced and is utilized for ARMA model identification. Furthermore, an absolute deterioration factor such as Bicoherence is introduced. Machine diagnosis can be executed by this simplified calculation method of system parameter distance with weight. Proposed method proved to be a practical index for machine diagnosis by numerical examples.