• Journal of Power Electronics
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• 제10권3호
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• pp.285-292
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• 2010

This paper presents a current mode integrated control technique (CM-ICT) using a modified voltage space vector modulation (MSVM) for Z-source inverter (ZSI) fed induction motor drives. MSVM provides a better DC voltage boost in the dc-link, a wide range of AC output voltage controllability and a better line harmonic profile. In a voltage mode ICT (VM-ICT), the outer voltage feedback loop alone is designed and it enforces the desired line voltage to the motor drive. An integrated control technique (ICT), with an inner current feedback loop is proposed in this paper for the purpose of line current limiting and soft operation of the drive. The current command generated by the PI controller and limiter in the outer voltage feedback loop, is compared with the actual line current, and the error is processed through the PI controller and a limiter. This limiter ensures that, the voltage control signal to the Z-source inverter is constrained to a safe level. The rise and fall of the control signal voltage are made to be gradual, so as to protect the induction motor drive and the Z-source inverter from transients. The single stage controller arrangement of the proposed CM-ICT offers easier compensation. Analysis, Matlab/Simulink simulations, and experimental results have been presented to validate the proposed technique.

• Journal of applied mathematics & informatics
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• 제26권5_6호
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• pp.1149-1159
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• 2008

Blind source extraction (BSE) is a special class of blind source separation (BSS) methods, which only extracts one or a subset of the sources at a time. Based on the time delay of the desired signal, a simple but important extraction algorithm (simplified " BC algorithm")was presented by Barros and Cichocki. However, the performance of this method is not satisfying in some cases for which it only carries out the constrained minimization of the mean squared error. To overcome these drawbacks, ICA with reference (ICA-R) based approach, which considers the higher-order statistics of sources, is added as the second stage for further source extraction. Specifically, BC algorithm is exploited to roughly extract the desired signal. Then the extracted signal in the first stage, as the reference signal of ICA-R method, is further used to extract the desired sources as cleanly as possible. Simulations on synthetic data and real-world data show its validity and usefulness.

• 한국대기환경학회지
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• 제13권5호
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• pp.383-396
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• 1997

Numerical prediction of the pollutant dispersion over a two-dimensional hilly terrain is presented. The dispersion model used in the present work is based on the gradient diffusion theory and the finite-volume method on a non-orthogonal boundary-fitted grid system. The numerical model is validated by comparing the results with the available experimental data for the flat-floor dispersion within a turbulent boundary-layer. The numerical error analysis is performed based on the guideline of Kasibhatla et al.(1988) for the elevated-source dispersion in the flat-floor boundary layer having a power-law velocity and linear eddy-diffusivity profile. The influences of the two-dimensional hilly terrain on the dispersion from a continuously released source are numerically investigated by changing the emission locations and heights. It is found that the distributions of ground-level concentration are strongly influenced by the source location and the emission height. Hence, the terrain amplification factor is greatly enhanced when the pollutant source is located within a flow separation region. Dispersion from a source of short duration is also simulated and the duration time of the pollutant is compared at several downstream locations on a hilly terrain. The results of the numerical prediction are applied to the evaluation of environmental impacts due to the automobile exhausts at the seashore highway with a parallel mountain range.

• 한국의학물리학회지:의학물리
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• 제13권1호
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• pp.21-26
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• 2002

블록을 사용한 부정형 전자선 조사면에서의 선량율(relative output factor, ROF)을 계산하는 전자선 알고리듬을 개발하고, 측정값과 계산값을 비교하여 알고리듬을 평가하였다. 전자선의 선량은 산란판, 전자선 cone 등 모든 요소를 고려한 1차선 부분과 블럭에 의한 2차선의 합으로 표시할 수 있다고 가정하였으며, 1차선은 가우스 분포를, 2차선은 거리역제곱 법칙만을 따른다고 가정하였다. 2차선 블럭 산란에 의한 각 분포는 고려하지 않았다. 이런 방법으로 전자선의 ROF를 유효 SSD, 1차선 분포 표준편차, 2차선 발생율 등 3가지의 인자만을 이용하여 선량율을 계산할 수 있는 단순한 방식을 고안하였다. 6, 9, 12, 16, 20 MeV의 전자선을 사용하여 이 모델을 검증하였다. 측정은 항상 개방 조사면의 선량 최대지점 깊이에서 실시하였으며 다양한 정사각형 치료면 측정으로 3개의 인자를 구할 수 있었다 직사각형 조사면과 부정형 조사면에 대하여 이 모델을 이용한 계산값과 측정값의 차이는 평균 1.0％이내였으며, 최대 2.1％를 넘지 않았다. 본 연구에서 개발한 알고리듬은 필요한 인자가 3개이면서 매 전자선 콘마다 5∼6회 측정으로 구할 수 있어서 임상 적용에 편리하며, 계산 결과가 정확하여 특이 오차를 보이는 유형에 관한 보완 연구를 수행하면 임상에 사용할 수 있음을 보였다.

• 한국음향학회지
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• 제18권3호
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• pp.49-54
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• 1999

본 논문에서는 어레이 센서 위치보정 알고리즘을 적용한 광대역 다중 신호원 빔형성 및 추적에 있어서 새로운 신호원이 검출되었을 때 초기 도래방향을 추정하는 새로운 방법을 제안한다. 초기 도래방향 추정에 있어 빔패턴 형성식을 이용함으로써 추정오차를 추적범위 내에 있도록 한다. 제안한 방법은 추정 도래방향 각의 해상도를 조정할 수 있으므로 주엽폭 특성이 다른 다양한 빔형성기에 적용할 수 있다. 모의 시험을 통하여 양호한 신호원 검출 및 추적성능을 확인하였다.

• 대한음성학회지:말소리
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• 제57호
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• pp.85-97
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• 2006

This paper suggests an algorithm that can estimate the direction of the sound source in real time. The algorithm uses the time difference and sound intensity information among the recorded sound source by four microphones. Also, to deal with noise of robot itself, the Kalman filter is implemented. The proposed method can take shorter execution time than that of an existing algorithm to fit the real-time service robot. Also, using the Kalman filter, signal ratio relative to background noise, SNR, is approximately improved to 8 dB. And the estimation result of azimuth shows relatively small error within the range of ${\pm}7$ degree.

• Journal of applied mathematics & informatics
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• 제28권1_2호
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• pp.31-48
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• 2010

In this article, we consider singularly perturbed Boundary Value Problems(BVPs) for second order Ordinary Differential Equations (ODEs) with Neumann boundary condition and discontinuous source term. A parameter-uniform error bound for the solution is established using the Streamline-Diffusion Finite Element Method (SDFEM) on a piecewise uniform meshes. We prove that the method is almost second order of convergence in the maximum norm, independently of the perturbation parameter. Further we derive superconvergence results for scaled derivatives of solution of the same problem. Numerical results are provided to substantiate the theoretical results.

• Nuclear Engineering and Technology
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• 제52권3호
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• pp.477-484
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• 2020

The control rod drive mechanism needs to be debugged after reactor fresh fuel loading. It is of great importance to monitor the subcriticality of this process accurately. A modified method was applied to the subcriticality monitoring process, in which only a single control rod cluster was fully withdrawn from the core. In order to correct the error in the results obtained by Neutron Source Multiplication Method, which is based on one point reactor model, Monte Carlo neutron transport code was employed to calculate the fission neutron distribution, the iterated fission probability and the neutron flux in the neutron detector. This article analyzed the effect of a coarse mesh and a fine mesh to tally fission neutron distributions, the iterated fission probability distributions and to calculate correction factors. The subcriticality before and after modification is compared with the subcriticality calculated by MCNP code. The modified results turn out to be closer to calculation. It's feasible to implement the modified NSM method in large local reactivity addition process using Monte Carlo code based on 3D model.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2003년도 International Meeting on Information Display
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• pp.642-645
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• 2003

We proposed new current source and mirror circuits insensitive to $V_{th}$ variation of poly-Si TFTs. The proposed circuits have been verified by SPICE simulation using poly-Si TFT model. The error currents of the proposed current source and current mirror circuits caused by $V_{th}$ variation reduced less than 6.6% and 4.5% of that of conventional ones, respectively.

• ETRI Journal
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• 제28권6호
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• pp.761-769
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• 2006

In this paper, we address the problem of closely spaced source localization using sensor array processing. In particular, the performance efficiency (measured in terms of the root mean square error) of the unconditional maximum likelihood (UML) algorithm for estimating the direction of arrival (DOA) of near-field sources is evaluated. Four parameters are considered in this evaluation: angular separation among sources, signal-to-noise ratio (SNR), number of snapshots, and number of sources (multiple sources). Simulations are conducted to illustrate the UML performance to compute the DOA of sources in the near-field. Finally, results are also presented that compare the performance of the UML DOA estimator with the existing multiple signal classification approach. The results show the capability of the UML estimator for estimating the DOA when the angular separation is taken into account as a critical parameter. These results are consistent in both low SNR and multiple-source scenarios.