• 제목/요약/키워드: parameter matrix

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Characterizations of Two-step Matrix Application Procedures for Imaging Mass Spectrometry

  • Shimma, Shuichi
    • Mass Spectrometry Letters
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    • 제6권1호
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    • pp.21-25
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    • 2015
  • In this paper, I describe the importance of matrix spraying conditions in imaging mass spectrometry (IMS) to obtain successful imaging results. My developed matrix application methodology, which is a "two-step matrix application" sequentially combined with matrix sublimation and spraying matrix solution can provide high reproducibility and high ion yield compared with a conventional direct spraying method. However, insufficient IMS results were obtained occasionally despite the two-step method. Therefore, I wanted to characterize the methodology to continuously provide high quality data. According to my results, the sublimation time was not a strict parameter, and the most important step was the first spraying condition. This means that the extraction conditions from the tissue section and co-crystallization of the matrix were the most important factors.

Coprime Factor Reduction of Parameter Varying Controller

  • Saragih, Roberd;Widowati, Widowati
    • International Journal of Control, Automation, and Systems
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    • 제6권6호
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    • pp.836-844
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    • 2008
  • This paper presents an approach to order reduction of linear parameter varying controller for polytopic model. Feasible solutions which satisfy relevant linear matrix inequalities for constructing full-order parameter varying controller evaluated at each polytopic vertices are first found. Next, sufficient conditions are derived for the existence of a right coprime factorization of parameter varying controller. Furthermore, a singular perturbation approximation for time invariant systems is generalized to reduce full-order parameter varying controller via parameter varying right coprime factorization. This generalization is based on solutions of the parameter varying Lyapunov inequalities. The closed loop performance caused by using the reduced order controller is developed. To examine the performance of the reduced-order parameter varying controller, the proposed method is applied to reduce vibration of flexible structures having the transverse-torsional coupled vibration modes.

측방 유입수를 고려한 자연 하도의 Muskingum 홍수추적 (A Channel Flood Routing by Muskingum Method Incorporating Lateral Inflows)

  • 강인주;윤용남
    • 물과 미래
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    • 제23권3호
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    • pp.385-395
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    • 1990
  • 측방유입수가 고려되는 3변수 Muskingum하도추적모형을 낙동강 수계중 왜관에서 적포교구간의 12개 홍수사상에 대하여 적용하였고, 기존 방법인 2변수 Muskingum방법의 저류상수 K와 가중계수 x에 추가된 α는 측방유입수를 고려해주는 변수이다. 3변수모형의 추적방정식은 유한차분방정식으로 표현되며, 추적상수 결정은 Matrix Inversion에 의하여 직접 계산 가능하며, 이로부터 각 홍수사상의 K x 값을 구할 수 있다. 본 연구를 실유역에 적용하여 실측치와 비교하여본 결과 비교적 잘 맞음을 알 수 있어쓰ㅇ며 K와 x값은 하도특성인자로서 홍수규모와 관계되고 측방유입인자 α는 강우 특성에 의하여 지배되는 변수로 판단되었으며 α값은 측방유입량이 클수록 값이 커지는 성향으로 나타났다.

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MODULUS-BASED SUCCESSIVE OVERRELAXATION METHOD FOR PRICING AMERICAN OPTIONS

  • Zheng, Ning;Yin, Jun-Feng
    • Journal of applied mathematics & informatics
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    • 제31권5_6호
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    • pp.769-784
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    • 2013
  • We consider the modulus-based successive overrelaxation method for the linear complementarity problems from the discretization of Black-Scholes American options model. The $H_+$-matrix property of the system matrix discretized from American option pricing which guarantees the convergence of the proposed method for the linear complementarity problem is analyzed. Numerical experiments confirm the theoretical analysis, and further show that the modulus-based successive overrelaxation method is superior to the classical projected successive overrelaxation method with optimal parameter.

Dynamic Matrix Control의 응용 (Application of dynamic matrix control)

  • 문일;여영구;송현근;박원희
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.652-657
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    • 1987
  • The Dynamic Matrix Control(DMC) technique was applied to nonlinear and nonminimum phase system. System model was identified by using Least Square method. Desired output trajectory was prespecified and input suppression parameter was also introduced. It was shown that DMC technique worked with great success in solving both nonminimum phase system and nonlinear system.

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ALGORITHMS FOR SOLVING MATRIX POLYNOMIAL EQUATIONS OF SPECIAL FORM

  • Dulov, E.V.
    • Journal of applied mathematics & informatics
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    • 제7권1호
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    • pp.41-60
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    • 2000
  • In this paper we consider a series of algorithms for calculating radicals of matrix polynomial equations. A particular aspect of this problem arise in author's work. concerning parameter identification of linear dynamic stochastic system. Special attention is given of searching the solution of an equation in a neighbourhood of some initial approximation. The offered approaches and algorithms allow us to receive fast and quite exact solution. We give some recommendations for application of given algorithms.

AN ALGORITHM FOR ESTIMATION OF ROTATION MATRIX PARAMETER

  • Shin, Dong-Soo
    • Journal of applied mathematics & informatics
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    • 제12권1_2호
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    • pp.409-417
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    • 2003
  • There are two rotation matrix parameters in a model, pro-posed by Prentice in 1989, for pairs of rotations in 3 dimensional space. For the least squares estimates of the two parameters, an algorithm was also presented, but it turned out that the algorithm could fail to get the least squares estimates. This article provides another algorithm for the least squares estimates and its performance is demonstrated by simulation results.

Recent Advancement in Renal Replacement Therapy

  • Ota, Kazuo
    • 대한의용생체공학회:의공학회지
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    • 제5권2호
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    • pp.121-126
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    • 1984
  • A new approach to texture classification for quantitative ultrasound liver diagnosis using run difference matrix was developed. The run difference matrix comprised the gray level difference along with a distances. From this run difference matrix, we defined several vectors and parameters such as DOD, DGD, DAD vector, SHP, SMO, SMG, LDE, LDEL etc.Each parameter values calculated in fatty, cirrhotic, normal and chronic hepatitic liver images were plotted in a plane and we found that RDM method was more sensitive to small structural changes than the conventional run length method and showed improved classification ability between the diseases.

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On the Multivariate Poisson Distribution with Specific Covariance Matrix

  • Kim, Dae-Hak;Jeong, Heong-Chul;Jung, Byoung-Cheol
    • Journal of the Korean Data and Information Science Society
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    • 제17권1호
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    • pp.161-171
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    • 2006
  • In this paper, we consider the random number generation method for multivariate Poisson distribution with specific covariance matrix. Random number generating method for the multivariate Poisson distribution is considered into two part, by first solving the linear equation to determine the univariate Poisson parameter, then convoluting independent univariate Poisson variates with appropriate expectations. We propose a numerical algorithm to solve the linear equation given the specific covariance matrix.

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폴리토픽 모델을 갖는 시스템을 위한 적분 슬라이딩 모드 제어기의 LMI 기반 설계 (LMI-based Design of Integral Sliding Mode Controllers for Polytopic Models)

  • 최한호
    • 조명전기설비학회논문지
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    • 제24권9호
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    • pp.44-48
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    • 2010
  • This paper presents an LMI-based method to design an integral sliding mode controller for an uncertain system with a polytopic model. The uncertain system under consideration may have mismatched parameter uncertainties in the state matrix as well as in the input matrix. Using LMIs we derive an existence condition of a sliding surface. And we give a switching feedback control law.