• 한국산업융합학회 논문집
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• 제6권1호
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• pp.3-10
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• 2003

Application of matrix converter to vector control of induction motor using simplified Venturini algorithm which is capable of achieving the maximum output voltage is developed. This algorithm simplifies the control algorithm and therefor reduces the digital implementation time. Matrix converter is used as voltage-referenced voltage fed vector controlled induction motor drive. This paper describes the performance of vector controlled induction motor with four quadrant capability employing a matrix converter power circuit. The advantage of this system over the conventional rectifier-inverter arrangement are capability for regeneration into the utility, sinusoidal supply currents and minimum passive components. The steady-state and transient performance of the induction motor drive under the vector control technique is demonstrate with simulation and experiment results.

• 한국통신학회논문지
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• 제9권3호
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• pp.127-131
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• 1984

벡터-매트릭스 곱셈을 인코히어런트(incoherent)광원에 의해 빠른 속도로 대량의 정보를 처리할 수 있는 IOVMM(incoherent optical vector matrix multiplier)을 구성하고 실험결과와 이론치를 비교하였다. 입력 벡터 및 매트릭스의 원소들은 양의 실수로만 국한시키고 입력 벡터는 LED배열로 나타내었으며 매트릭스는 마스크상에 면적변조방식으로 부호화하였다. 이 두 곱셈의 결과는 렌즈계를 통하여 포토 다이오우드 배열로 검출하였으며 하나의 채널로 출력신호를 관찰하기 위하여 애널로그 멀티플렉스를 사용하였다.

• Journal of Power Electronics
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• 제6권1호
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• pp.67-72
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• 2006

This paper introduces two different types of AC current control methods for an indirect vector controlled induction motor using a matrix converter. The proposed methods combine the advantages of matrix converters with the advantages of the indirect vector AC current control methods. The first proposed method explains the basic idea of the hysteresis current control method for matrix converters and shows its capability and stability in comparison to the conventional method usually used for VSI. With the aid of the special configuration of the matrix converter, we also propose another current method which is modified from the first one in order to reduce both current ripple and torque ripple. Simulation results have verified the feasibility and the effectiveness of the proposed methods.

• 충청수학회지
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• 제27권4호
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• pp.571-579
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• 2014

In this paper, we present new vector generators of a matrix subalgebra $L_{0,n}$, which is isomorphic to the Clifford algebra $C{\ell}_{0,n}$, and we obtain the matrix form of inverse of a vector in $L_{0,n}$. Moreover, we consider the solution of a linear equation $xg_2=g_2x$, where $g_2$ is a vector generator of $L_{0,n}$.

• Structural Engineering and Mechanics
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• 제3권2호
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• pp.173-183
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• 1995

A new vector algorithm is presented for computing the stiffness matrices of layered reinforced concrete shell elements. Each element stiffness matrix is represented in terms of three vector arrays of lengths 78, 96 and 36, respectively. One element stiffness matrix is calculated at a time without interruption in the vector calculations for the uncracked or cracked elements. It is shown that the present algorithm is 1.1 to 7.3 times more efficient then a previous algorithm developed by us on a Cray Y-MP supercomputer.

• Structural Engineering and Mechanics
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• 제2권2호
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• pp.125-139
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• 1994

A vector algorithm for calculating the stiffness matrices of reinforced concrete shell elements is presented. The algorithm is based on establishing vector lengths equal to the number of elements. The computational efficiency of the proposed algorithm is assessed on a Cray Y-MP supercomputer. It is shown that the vector algorithm achieves scalar-to-vector speedup of 1.7 to 7.6 on three moderate sized inelastic problems.

• Journal of applied mathematics & informatics
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• 제7권2호
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• pp.439-451
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• 2000

To compute derivatives using matrix vector multiplication method, new algorithms were introduced in [1.2]n By these algorithms, we reduced roundoff error in computing derivative using Chebyshev collocation methods (CCM). In this paper, some applications of these algorithms ar presented.

• 한국수학사학회지
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• 제23권2호
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• pp.89-99
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• 2010

오늘날 선형대수학은 이론의 기초적 성격과 응용의 풍부성으로 인해 대학수학에 있어서 필수적인 분야로서 자리하고 있다. 벡터이론과 행렬이론은 선형대수학의 주된 분야이다. 본 논문에서는 선형대수학의 학습에서 벡터이론과 행렬이론 중 어느 것을 먼저 도입하는 것이 바람직할 것인가에 대한 질문을 제시할 때 본 연구의 주된 결과, 역사적 순서와는 달리 벡터이론이 행렬이론보다 선행되어야 함을 주장한다.

• 품질경영학회지
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• 제29권1호
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• pp.1-10
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• 2001

We consider the problem of detecting special variations in multivariate $T^2$-control chart when two or more multivariate outliers are present. Since a multivariate outlier may reflect slippage in mean, variance, or correlation, it can distort the sample mean vector and sample covariance matrix. Damaged sample mean vector and sample covariance matrix have difficulty in examining special variations clearly, An alternative to detection outliers or special variations is to use robust estimators of mean vector and covariance matrix that are less sensitive to extreme observations than are the standard estimators $\bar{x}$ and $\textbf{S}$. We applied popular minimum volume ellipsoid(MVE) and minimum covariance determinant(MCD) method to estimate mean vector and covariance matrix and compared its results with standard $T^2$-control chart using simulated multivariate data with outliers. We found that the modified $T^2$-control chart based on the above robust methods were more effective in detecting special variations clearly than the standard $T^2$-control chart.

• 응용통계연구
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• 제17권1호
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• pp.119-134
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• 2004

AHP기법에서는 의사결정 요소들의 중요도를 추정함에 있어 통상 쌍대비교행렬 그 자체에 고유벡터법 또는 대수최소제곱법을 적용한다. 본 연구에서는 왜대칭행렬의 고유분해를 통해 쌍대비교행렬을 조정한 후 조정된 쌍대비교행렬에 대해 고유벡터법 또는 대수최소제곱법을 적용하는 중요도 추정법을 제안한다. 그리고 이 추정법이 가지는 여러 가지 이점과 의미를 이론적 근거와 실제 사용 예를 통해 보이고자 한다. 본 연구결과는 불일치성이 높은 쌍대비교행렬이 주어진 경우 불일치성을 줄이는데 특히 유용하게 활용될 수 있을 것이다.