• 한국운동역학회지
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• 제15권4호
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• pp.75-83
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• 2005

The purpose of this study was to determine the kinematic characteristics of the ankle joint and RPM(repetition per minutes) during the supra maximal training in cycling. For this study, 8 national representative cyclists, distance cyclists in track and road, were selected. During the super-maximum pedalling, kinematic data were collected using a six-camera(240Hz) Qualisys system. the room coordinate system was right-handed and fixed in the back of a roller for cycle, with right-handed orthogonal segment coordinate systems defined for the leg and foot. Lateral kinematic data were recorded at least for 3 minutes while the participants pedal on a roller. Two-dimensional Cartesian coordinates for each marker were determined at the time of recording using a nonlinear transformation technique. Coordinate data were low-pass filtered using a fourth-order Butterworth recursive filter with cutoff frequency of 15Hz. Variables analyzed in this study were compared using a one factor(time) ANOVA with repeated measures. The results of investigation suggest that the number of rotating pedal was decreased with time phase during the super-maximum pedaling. Maximum angle of the ankle joint showed little in change with time phase compared with minimum angle of that.

• Journal of Communications and Networks
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• 제15권3호
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• pp.283-291
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• 2013

In this paper, we propose new multiuser detectors (MUDs) based on compressed sensing approaches for the large-scale multiple antenna systems equipped with dozens of low-power antennas. We consider the scenarios where the number of receiver antennas is smaller than the total number of users, but the number of active users is relatively small. This prior information motivates sparsity-embracing MUDs such as sparsity-embracing linear/nonlinear MUDs where the detection of active users and their symbol detection are employed. In addition, sparsity-embracing MUDs with maximum a posteriori probability criterion (MAP-MUDs) are presented. They jointly detect active users and their symbols by exploiting the probability of user activity, and it can be solved efficiently by introducing convex relaxing senses. Furthermore, it is shown that sparsity-embracing MUDs exploiting common users' activity across multiple symbols, i.e., frame-by-frame, can be considered to improve performance. Also, in multiple multiple-input and multiple-output networks with aggressive frequency reuse, we propose the interference cancellation strategy for the proposed sparsity-embracing MUDs. That first cancels out the interference induced by adjacent networks and then recovers the desired users' information by exploiting the low user activity. In simulation studies for binary phase shift keying modulation, numerical evidences establish the effectiveness of our proposed MUDs exploiting low user activity, as compared with the conventional MUD.

• Nuclear Engineering and Technology
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• 제27권6호
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• pp.845-852
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• 1995

반복계산법 (iterative method)중의 하나인 파형완화법 ( Waveform Relaxation Method)을 이용하여 시간의 함수인 비선형 원자로 동역학(reactor dynamics)의 해를 병렬처리기법으로 구하였다. 파형완화법은 각 반복계산과정중에서, 먼저 전체 시스템을 작은 부시스템(subsystem)으로 나누고, 각각의 부시스템들은 주어진 각각의 시간간격(time Interval)에서 해를 독립적으로 구한다. 만약 이 기법에 맞게 효과적으로 부시스템으로 나눌 수 있다면 병렬처리기법에 잘 응용될 수 있다 본 논문에서는 파형완화법이 소개되었고, 두 종류의 원자로 동역학에 응용되었다. 결론적으로 파형완화법은 원자로 동역학에 응용될 수 있으나, 다목적 연구로에 응응한 결과는 병렬효과가 그다지 크지 않은 것으로 나타났다.

• Journal of Power Electronics
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• 제14권5호
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• pp.1057-1068
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• 2014

Phase-locked loops (PLL) based on the synchronous reference frame (SRF-PLL) have recently become the most widely-used for grid synchronization in three phase grid-connected inverters. However, it is difficult to study their performance since they are nonlinear systems. To estimate the performances of a SRF-PLL, a canonical small-signal linearized model has been developed in this paper. Based on the proposed model, several significant specifications of a SRF-PLL, such as the capture time, capture rang, bandwidth, the product of capture time and bandwidth, and steady-state error have been investigated. Finally, a noise model of a SRF-PLL has been put forward to analyze the noise rejection ability by computing the SNR (signal-to-noise ratio) of a SRF-PLL. Several simulation and experimental results have been provided to verify and validate the obtained conclusions. Although the proposed model and analysis method are based on a SRF-PLL, they are also suitable for analyzing other types of PLLs.

• Journal of Power Electronics
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• 제13권1호
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• pp.122-138
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• 2013

Adaptive control of a peak current mode controlled (PCM) boost converter supplied by a PEM fuel cell is described in this paper. The adaptive controller with reference model and signal adaptation is developed in order to compensate the deviation of the response during the change of the operating point. The procedure for determining the adaptive algorithm's weighting coefficients, based on a combination of the pole-zero placement method and an optimization method is proposed. After applying the proposed procedure, the optimal adaptive algorithm's weighting coefficients can be determined in just a few iterations, without the use of a computer, thus greatly facilitating the application of the algorithm in real systems. Simulation and experimental results show that the dynamic behavior of a highly nonlinear control system with a fuel cell and a PCM boost converter, can fairly accurately be described by the dynamic behavior of the reference model, i.e., a linear system with constant parameters.

• 한국통신학회논문지
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• 제30권12C호
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• pp.1262-1267
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• 2005

EBF(Elliptical basis function) 신경망은 비선형 처리를 가능하게 하며, 잡음에 강하고 빠른 수렴을 하는 장점이 있다. 또한 EBF는 설계가 간단하여 실시간 음성 구간 검출기(Voice Activity Detection, VAD)에 적용하기 용이하다. 따라서 전송 효율을 높이기 위해 사용되는 음성구간 검출기를 제안함에 있어 EBF 신경망을 이용하였다. EBF의 학습 알고리즘은 평균 클러스터링(K-means Clustering) 알고리즘과 선형 최소 제곱 방범(Least Mean Square error, LMS)을 사용하였다. G.729 Annex B 와 RBF(Radial Basis Function) 신경망을 이용한 음성구간 검출기와 성능 비교에 있에서, G.729 Annex B 음성 검출기보다 $70\%$ 이상의 높은 성능재선을 나타냈고, RBF 신경망을 이용한 음성구간 검출기 보다 비음성 구간에서 $50\%$정도의 높은 효율을 보였다.

• 대한전기학회논문지:전력기술부문A
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• 제52권2호
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• pp.121-133
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• 2003

This paper presents a fault location algorithm for a single phase-to-ground fault on 3-terminal transmission systems. The method uses only the local end voltage and current signals. Other currents used for the algorithm are estimated by current distribution factors and the local end current. Negative sequence current is used to remove the effect of load current. Five distance equations based on Kirchhoff's voltage law are established for the location algorithm which can be applied to a parallel transmission line having a teed circuit. Separating the real and imaginary parts of each distance equation, final nonlinear equations that are functions of the fault location can be obtained. The Newton-Raphson method is then applied to calculate the estimated fault location. Among the solutions, a correct fault distance is selected by the conditions of the existence of solution. With the results of extensive S/W and H/W simulation tests, it was verified that the proposed algorithm can estimate an accurate fault distance in a 154kV model system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 D
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• pp.2488-2491
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• 2000

A Neural network is possible to nonlinear function mapping and parallel processing. Therefore It has been developing for a Diagnosis system of nuclear plower plant. In general Neural Networks is a static mapping but Dynamic Neural Network(DNN) is dynamic mapping. When a fault occur in system, a state of system is changed with transient state. Because of a previous state signal is considered as a information. DNN is better suited for diagnosis systems than static neural network. But a DNN has many weights, so a real time implementation of diagnosis system is in need of a rapid network architecture. This paper presents a algorithm for RCP monitoring Alarm diagnosis system using Self Dynamic Neural Network(SDNN). SDNN has considerably fewer weights than a general DNN. Since there is no interlink among the hidden layer. The effectiveness of Alarm diagnosis system using the proposed algorithm is demonstrated by applying to RCP monitoring in Nuclear power plant.

• 한국통신학회논문지
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• 제26권6A호
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• pp.965-979
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• 2001

본 논문에서는 OFDM 시스템의 송신기에서 사용되는 선형 필터와 고출력 증폭기의 결합에 의한 \"기억성을 갖는 비선형 왜곡\"을 실제 하드웨어 구현에 적합하게 적은 계산량으로 보상할 수 있는 참조 테이블(look up table; LUT) 기반의 사전왜곡기를 제안한다. LUT를 이용하는 사전왜곡기들은 이미 많이 연구되었으나, 본 논문에서는 다중 입력/단일 출력 형태의 기억성을 갖는 비선형 왜곡을 작은 크기의 LUT를 이용하여 효율적으로 보상한다는 점에서 큰 차이가 있다. 제안 방법에서는 먼저 기억성이 없는 고출력 증폭기만이 존재할 때의 사전왜곡기를 우리가 이미 제안한 고정점 반복 사전왜곡기 알고리즘에 기반하여 LUT로 구현하고, 여기에 선형 역 시스템을 결합하여 기억성을 갖는 비선형 왜곡을 보상한다. 실제 구현 가능성 검토를 위해 제안된 사전왜곡기와 16-QAM, 256-IFFT/FFT OFDM 시스템 기저대역 모뎀을 TMS320C30 DSP를 이용하여 구현하였으며, 실험 결과 작은 크기의 LUT를 이용하여도 원래의 고정점 반복 사전왜곡기에 비해 매우 적은 계산량을 요구하면서 동일한 성능을 얻을 수 있음을 확인하였다.있음을 확인하였다.

• 한국전산구조공학회논문집
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• 제21권5호
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• pp.475-482
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• 2008

본 논문은 로터 시스템의 디스크 회전운동을 표현하는데 있어 운동방정식을 통합하는 과정에서 기존 연구자들이 채택한 오일러 각 사용법이 일관성이 없음을 지적하였다. 기존 연구자들은 오일러 각 순서가 달라서 속도와 운동에너지도 달리 산정하였음은 물론, 운동방정식은 오직 선형 시스템만 취급해 왔다 이러한 오일러 각 사용법의 단점을 극복하기 위하여 회전운동을 더욱 단순하게 매개화할 수 있는 4원법(quaternion)과 구 좌표계를 적용하여 비선형 시스템을 도출하였다. 이를 바탕으로 수치해석을 통하여 기존 방법과 비교하여 제안한 방법의 신뢰성과 우수성을 보였다.