• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.4
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• pp.560-566
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• 2008

Today, as the power trades between generation companies and power customer are liberalized, the uncertainty level of operated power system is rapidly increased. Therefore, transmission operators as decision makers for transmission expansion are required to establish a deliberate investment plan for effective operations of transmission facilities considering forecasted conditions of power system. This paper proposes the methodology for the optimal solution of transmission expansion in deregulated power system. The paper obtains the expected value of transmission congestion cost for various scenarios by using occurrence probability. In addition, the paper assumes that increasing rates of loads are the probability distribution and indicates the location of expanded transmission line, the time for transmission expansion with the minimum cost for the future by performing the Montecarlo simulation. To minimize the investment risk as the variance of the congestion cost, Mean-Variance Markowitz portfolio theory is applied to the optimization model by the penalty factor of the variance. By the case study, the optimal solution for transmission expansion plan considering the feature of market participants is obtained.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.106-112
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• 2019

Pulsation variance technique is blended the bumpy popple-sonance status of the brilliant-disparity understanding level (BDUL) on pulsation understanding gestalt. The understanding level condition by the pulsation understanding gestalt system is composed with the popple-sonance system. As to look for a two-node white-small dot of the brilliant situation, we are to take of the pulsation value with two-node white-small dot by the output signal. The concept of understanding level is composed the reference of brilliant-disparity level for variance signal by the pulsation sonance gestalt. Moreover indicating a bumpy variance of the BDUL of the maximum-minimum in terms of the popple-sonance gestalt, and pulsation two-node white-small dot sonance that was the a pulsation value of the far variance of the Pul-ug-FA-${\pi}_{MAX}$-MIN with $23.24{\pm}3.36units$, that was the a pulsation value of the convenient variance of the Pul-ug-CO-${\pi}_{MAX}$-MIN with $7.97{\pm}1.60units$, that was the a pulsation value of the flank variance of the Pul-ug-FL-${\pi}_{MAX}$-MIN with $3.02{\pm}0.47units$, that was the a pulsation value of the vicinage variance of the Pul-ug-VI-${\pi}_{MAX}$-MIN with $0.50{\pm}(-0.01)units$. The popple sonance will be to evaluate at the bumpy ability of the popple-sonance gestalt with two-node white-small dot by the pulsation understanding level on the BDUL that is indicated the brilliant-disparity gestalt by the understanding level system. We will be possible to suppress of a gestalt by the special signal and to utilize a pulsation data of popple sonance level by the popple understanding system.

• Journal of the Korean Statistical Society
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• v.10
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• pp.91-96
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• 1981

The development of Minimum Norm Quadratic Unbiased Estimation (MINQUE) has introduced a unified approach for the estimation of variance components in general linear models. The computational problem has been studied by Liu and Senturia (1977) and Goodnight (1978, setting a-priori values to 0). This paper further simplifies the computation and gives efficient and compact computational algorithm for the MINQUE and dispersion matrix in general linear random model.

• Proceedings of the Optical Society of Korea Conference
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• 2009.02a
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• pp.143-144
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• 2009

• Journal of the Korean Statistical Society
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• v.18 no.1
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• pp.4-12
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• 1989

An efficient method for computing minimum norm quadratic unbiased estimates (MINQUE) of variance components in the mixed model is developed. This computing algorithm which used W-matrix saves both storage usage and computing time.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.04a
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• pp.704-705
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• 2014

• Proceedings of the Korean Nuclear Society Conference
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• 2005.05a
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• pp.1255-1256
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• 2005

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.5
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• pp.777-782
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• 2017

The Signal Intelligence (SIGINT) system based on the adaptive beamformer, comprised of the AOA estimator followed by the interference canceller, is a cutting edge technology for collecting various signal information utilizing all sorts of devices such as the radar and satellite. In this paper, we present the efficient adaptive SIGINT structure consisted of an AOA estimator and an adaptive beamformer. For estimating AOA information of various signals, we employ the Multiple Signal Classification (MUSIC) algorithm and for efficiently suppressing high-power interference signals, we employ the Minimum Variance Distortionless Response (MVDR) algorithm. Also, we provide computer simulation examples to verify the performance of the presented adaptive beamformer structure.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.145-148
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• 2004

수중음향 시스템에서는 빔형성(Beamforming) 기법을 이용하여 목표물로부터 신호를 수신하고 이에 대한 정보를 얻어낼 수 있는데, 이러한 빔형성에 있어서 주엽(Mainlobe)의 빔폭(Beamwidth)과 부엽(Sidelobe)의 크기(Level)를 설계자가 목표하는 값에 최적화 시킬 수 있는 방법을 찾는 것이 무엇보다도 중요하다 최근 연구된 빔형성 기법의 대표적인 결과 중 하나로는 Phi1ip의 Weighting Function Method를 들 수 있다. 이러한 Phi1ip의 방법은 목표 주엽폭과 부엽 준위를 정하고 이를 적응필터 설계방식과 유사하게 적응시켜 나가는 과정을 이용한다. 그러나 이 방법은 주엽폭과 부엽 준위간의 상관관계로 인해서 원하는 부엽준위에 다다르지 못하거나 결과값을 얻는데 상당한 시간이 소요되는 경우가 자주 발생하는데, 이러한 단점을 보완하기 위하여 본 논문에서는 부엽 준위에 미치지 못하는 일부에 대하여 부분 최적화를 시켜 비교적 쉽게 설계를 만족시키는 새로운 알고리듬을 제안하고자 한다.

• The Journal of the Acoustical Society of Korea
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• v.20 no.7
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• pp.94-100
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• 2001

When using a sample covariance matrix data in paucity of snapshots, adaptive matched field processing will have problem in inverting covariance matrix due to the rank deficiency. The general solutions are diagonal loading and eigenanalysis methods, but there is a significant bias in the power output. This paper presents a quantitative study of bias of power output and the performance of source localization through the simulation and the measured data analysis in fixed source case using the diagonal loading method for the minimum variance processor. Results show that the bias in power output is reduced and the performance of source localization is improved when the number of snapshots is greater than the number of array sensors.