• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.165-168
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• 2004

This paper propose a target tracker using phase correlation. The tracker consist of a pre-processing module, a translation estimation module based on phase correlation, a fine motion estimation module applied when confidence rate could not fulfill a threshold value and a reference image update module. The fine motion estimation module measure the shift, rotation and scale of input image compared to reference using Fourier-Mellin transform. Proposed tracker was tested its accuracy and robustness using some real indoor and outdoor image sequences.

• Communications for Statistical Applications and Methods
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• 제19권6호
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• pp.877-884
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• 2012

Phase I trials determine the maximum tolerated dose(MTD) and the recommended dose(RD) for subsequent Phase II trials. In this paper, a MTD estimation method applied to a biased coin design is proposed for Phase I Clinical Trials. The suggested MTD estimation method is compared to the SM3 method and the NM method (Lee and Kim, 2012) using a Monte Carlo simulation study.

• 대한전자공학회논문지TC
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• 제47권10호
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• pp.1-7
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• 2010

본 논문에서는 정합필터 기반의 IEEE 802.15.4a chirp spread spectrum (CSS)을 위한 새로운 주파수 오프셋 추정 알고리즘을 제안한다. 기존의 주파수 오프셋 추정 알고리즘은 연속되는 동일한 심볼 간의 차등 위상을 계산함으로서 주파수 오프셋을 추정하였다. 하지만 CSS는 긴 십볼 구간과 가드 구간을 포함하고 있어 기존의 방법으로 주파수 오프셋을 추정하였을 경우 위상 모호성이 발생한다. 특히 정합필터 기반 수신기 구조에서 위상 모호성을 해결하지 않는다면 주파수 오프셋에 의한 정현파 간섭 현상으로 정합필터의 성능이 감소하게 된다. 따라서 본 논문에서는 위상 모호성을 해결하기 위해 정수부와 소수부 주파수 오프셋 추정을 분할화 하여 주파수 오프셋을 추정하는 새로운 알고리즘을 제안한다. 제안하는 알고리즘은 sub-chirp 간 정합필터 결과의 차등 위상을 계산 한 결과와 기존의 심볼 간 차등 위상 정보를 이용하여 정수부 주파수 오프셋을 추정하여 위상 모호성을 제거 한 후, 심볼 간 차등위상 정보를 통하여 소수부 주파수 오프셋을 추정한다. 시뮬레이션 결과 제안하는 알고리즘은 정수부 주파수 오프셋 추정을 통해 위상 모호성 문제를 해결할 수 있음을 확인하였고 위상 모호성 이 발생하지 않는 경우에서도 기존의 알고리즘과 거의 통일한 성능을 보임을 확인하였다.

• International Journal of Contents
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• 제1권1호
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• pp.1-5
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• 2005

This paper presents the development and application of electrical resistance imaging techniques for the visualization of two-phase flow fields. Two algorithms, the so-called the mesh grouping and the boundary estimation, are described for potential applications of electrical resistance tomography (ERT) and results from extensive numerical simulations are also presented. In the electrical resistance imaging for two-phase flows, numerical meshes fairly belonging to each phase can be grouped to improve the reconstruction performance. In many cases, the detection of phase boundary is a key subject and a mathematical model to estimate phase boundary can be formulated in a different manner. Our results indicated that the mesh grouping algorithm is effective to enhance computational performance and image quality, and boundary estimation algorithm to determine the phase boundary directly.

• Communications for Statistical Applications and Methods
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• 제30권4호
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• pp.403-410
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• 2023

Two-Phase sampling, which was first introduced by Neyman (1938), has various applications in different forms. Variance estimation for two-phase sampling has been an important research topic because conventional variance estimators used in most softwares are not working. In this paper, we considered a variance estimation for two-phase sampling in which stratified two-stage cluster sampling designs are used in both phases. By defining a conditionally unbiased estimator of an approximate variance estimator, which is calculable when all elements in the first phase sample are observed, we propose an explicit form of variance estimator of the double expanded estimator for a two-phase sample. A small simulation study shows the proposed variance estimator has a negligible bias with small variance. The suggested variance estimator is also applicable to other linear estimators of the population total or mean if appropriate residuals are defined.

• Journal of Electrical Engineering and Technology
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• 제4권3호
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• pp.360-364
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• 2009

This paper suggests the techniques in determining the values of the steady-state equivalent circuit parameters of a three-phase induction machine using genetic algorithm. The parameter estimation procedure is based on the steady-state phase current versus slip and input power versus slip characteristics. The propose estimation algorithm is of non-linear kind based on selection in genetic algorithm. The machine parameters are obtained as the solution of a minimization of objective function by genetic algorithm. Simulation shows good performance of the propose procedures.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2000년도 전력전자학술대회 논문집
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• pp.697-700
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• 2000

This paper introduces a new rotor position estimation algorithm for the SRM based on the magnetizing curves of aligned and unaligned rotor positions. The flux linkage is calculated by the measured data from phase voltage and phase current and the calculated data are used as the input of magnetizing profiles for rotor position detection. Each of the magnetizing profiles consisted of the methods using the neural network and fuzzy algorithm And also the optima phase is selected by phase selector. To demonstrate the promise of this approach the proposed rotor position estimation algorithms are verified by the experiment results or variable spee range.

• Journal of Power Electronics
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• 제16권3호
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• pp.1067-1075
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• 2016

This paper presents an adaptive observer-based approach to estimate voltage parameters, including frequency, amplitude, and phase angle, for single-phase power systems. In contrast to most existing estimation methods of grid voltage parameters, in this study, grid voltage is treated as a dynamic system related to an unknown grid frequency. Based on adaptive observer theory, a full-order adaptive observer is proposed to estimate voltage parameters. A Lyapunov function-based argument is employed to ensure that the proposed estimation method of voltage parameters has zero steady-state error, even when frequency varies or phase angle jumps significantly. Meanwhile, a reduced-order adaptive observer is designed as the simplified version of the proposed full-order observer. Compared with the frequency-adaptive virtual flux estimation, the proposed adaptive observers exhibit better dynamic response to track the actual grid voltage frequency, amplitude, and phase angle. Simulations and experiments have been conducted to validate the effectiveness of the proposed observers.

• 한국통신학회논문지
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• 제37권6C호
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• pp.453-461
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• 2012

본 논문에서는 진폭 변조 거리 측정 시스템에 적용 가능한 개선된 위상 추정 기법을 제안한다. 기존 위상 측정 방법은 이동 목표물의 도플러 천이에 의해 위상 측정 오차가 발생한다. 제안된 위상 추정 기법은 도플러 천이에 대해 적응 도플러 보정(Adaptive Doppler Correction)을 사용하여 위상 추정 오차를 보정하므로 거리 측정 정확도를 향상 시킬 수 있다. 모의실험 결과 도플러 주파수 천이 보정은 기존 방식보다 94.7% 향상된 성능을 보이며, 거리 측정 정확도는 50%로 향상되었다. 음향 수조에서는 오차가 7.7cm로 추정되어 해양 환경에서 음파를 이용하여 거리 추정에도 적용 가능함을 확인하였다.

• 한국공작기계학회논문집
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• 제16권5호
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• pp.115-121
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• 2007

Phase contrast imaging in atomic force microscopy showed a promise as an effective tool for better understanding of micromechanical properties of surfaces at nano scale. A qualitative estimation model for phase contrast images obtained with a tapping mode AFM was developed. This investigation demonstrated the high efficiency of combined analysis of topography and phase contrast images for characterizing nanosurfaces. Phase contrast images allowed estimation of relative stiffness(elastic modulus) of the sample surface. The phase contrast images revealed a significant inhomogeneity of the nano scale worn surfaces. Phase contrast images are also capable of revealing the formation of tribofilms.