• 한국멀티미디어학회논문지
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• 제20권10호
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• pp.1637-1645
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• 2017

Target/Nontarget classification can be divided into the study of shape estimation of the target analysing reflected echo signal and of type classification of the target using acoustical features. In active sonar system, the feature vectors are extracted from the signal reflected from the target, and an classification algorithm is applied to determine whether the received signal is a target or not. However, received sonar signals can be distorted in the underwater environments, and the spatio-temporal characteristics of active sonar signals change according to the aspect of the target. In addition, it is very difficult to collect real sea-trial data for research. In this paper, target/non-target classification were performed using real sea-trial data. Feature vectors are extracted using MFCC(Mel-Frequency Cepstral Coefficients), filterbank energy in the Fourier spectrum and wavelet domain. For the performance verification, classification experiments were performed using backpropagation neural network classifiers.

• 한국멀티미디어학회논문지
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• 제19권10호
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• pp.1775-1781
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• 2016

Generally, in the underwater target recognition, feature vectors are extracted from the target signal utilizing spatial information according to target shape/material characteristics. In addition, various signal processing techniques have been studied to extract feature vectors which are less sensitive to the location of the receiver. In this paper, we synthesized active echo signals using 3-dimensional highlight distribution. Then, Fractional Fourier transform was applied to echo signals to extract signal features. For the performance verification, classification experiments were performed using backpropagation and probabilistic neural network classifiers based on single aspect and multi-aspect method. As a result, we obtained a better recognition result using proposed feature extraction and multi-aspect based method.

• Journal of Microbiology and Biotechnology
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• 제15권1호
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• pp.202-205
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• 2005

Our previous study showed that the overexpression of carboxypeptidase Y (CPY) of Saccharomyces cerevisiae in Escherichia coli resulted in the formation of insoluble inclusion bodies. To produce soluble CPY, we designed a novel Pichia pastoris expression system, in which the following were inserted into expression vectors: three different signal sequences derived from the mating factor a1 of S. cerevisiae, an inulinase of Kluyveromyces marxianus, and the endogenous signal sequence of CPY. The expression vector pHIL-D2-SSinul-proCPY was the most effective in the production of proCPY among the vectors examined. The purified active CPY was obtained from proCPY by treating with proteinase K, followed by QExcellose ion-exchange column chromatography.

• Journal of Power Electronics
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• 제17권4호
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• pp.923-932
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• 2017

This paper proposes a novel scheme which can compensate the common-mode voltage (CMV) for five-level active neutralpoint clamped (5L-ANPC) inverters, which is based on modifying the space vector pulse width modulation (SVPWM) and adding an auxiliary leg to the inverter. For the modified SVPWM, only the 55 voltage vectors producing low CMV values among the 125 possible voltage vectors are utilized, which varies over the three voltage levels of $-V_{dc}/12$, 0 V, and $V_{dc}/12$. In addition, the compensating voltage, which is injected into the 5L-ANPC inverter system to cancel the remaining CVM through a common-mode transformer (CMT) is generated by the additional NPC leg. By the proposed method, the CMV of the inverter is fully eliminated, while the utilization of the DC-link voltage is not decreased at all. Furthermore, all of the DC-link and flying capacitor voltages of the inverter are well controlled. Simulation and experimental results have verified the validity of the proposed scheme.

• Journal of Microbiology
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• 제34권1호
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• pp.74-81
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• 1996

Two secretion vectors, pUBA240 and pUB340 were constructed by using the promoter and secretory signal region of the .alpha.-amylase gene from an .alpha.-amylase hyperproducing strain, Bacillus subtilis NA64. In this secretion vector system, various restriction enzyme sites are located immediately after the proregion of the .alpha.-amylase gene for easy replacement of various foregn structural genes. To evaluate this secretion vectors, the .betha.-lactamase gene of pBR322 was used as a reporter gene. The expressed and biologically active .betha.-lactamase was secreted into the culture broth from B. subtilis LKS86 transformants harboring each .betha.-lactamase secreting plasmid, pUBAbla and pUBSble. In both cases, more than 92% of expressed .betha.- lactamases were located idn the culture medium. The amount of the secreted .betha.-lactamase was about 80% of the total secreted proteins in the culture medium.

• 전력전자학회:학술대회논문집
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• 전력전자학회 1998년도 Proceedings ICPE 98 1998 International Conference on Power Electronics
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• pp.615-619
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• 1998

Active power filter is a kind of device used for compensating instantaneous reactive and harmonic current in three-phase circuits. An essential technology that determines the behavior of an active power filter is the method of detecting the distorted current. Using three-dimensional space vectors, this paper describes a simple method for detecting the distorted current without any coordinate transformation. The effectiveness of the novel method is verified by the theoretical analysis and simulation.

• 제어로봇시스템학회논문지
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• 제16권12호
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• pp.1220-1225
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• 2010

This paper proposes a novel active noise control (ANC) approach that uses an IIR filter and neural network techniques to effectively reduce interior noise. We construct a multiple-channel IIR filter module which is a linearly augmented framework with a generic IIR model to generate a primary control signal. A three-layer perceptron neural network is employed for establishing a secondary-path model to represent air channels among noise fields. Since the IIR module and neural network are connected in series, the output of an IIR filter is transferred forward to the neural model to generate a final ANC signal. A gradient descent optimization based learning algorithm is analytically derived for the optimal selection of the ANC parameter vectors. Moreover, re-estimation of partial parameter vectors in the ANC system is proposed for online learning. Lastly, we present the results of a numerical study to test our ANC methodology with realistic interior noise measurement obtained from Korean railway trains.

• Journal of Power Electronics
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• 제17권5호
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• pp.1363-1371
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• 2017

In this paper, an improved Direct Power Control (DPC) algorithm is presented for grid connected three phase PWM rectifiers. The new DPC approach is based on two main tasks. First the optimization of the look-up table, which is well-known in conventional DPC, is outlined for selecting the optimum converter output voltage vectors. Secondly a very simple and effective method is used to directly calculate their duty cycles from the power errors. Therefore, the measured active and reactive powers are made to track their references using hysteresis controllers. Then two vectors are selected and applied during one control cycle to minimize both the active and reactive power ripples. The main advantages of this method are that there is no need of linear current controllers, coordinates transformations or modulators. In addition, the control strategy is able to operate at constant switching frequencies to ease the design of the power converter and the AC harmonic filter. The control exhibits a good steady state performance and improves the dynamic response without any overshoot in the line current. Theoretical principles of the proposed method are discussed. Both simulation and experimental results are presented to verify the performance and effectiveness of this control scheme.

• Journal of Power Electronics
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• 제12권6호
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• pp.895-903
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• 2012

This paper presents a fast switching direct torque control (FS-DTC) using only a single DC-link current sensor. In FS-DTC, six new active voltage complex space vectors (CSVs) are synthesized by the conventional active voltage space vectors (SVs). The corresponding sectors are rotated in the anticlockwise direction by 30 degrees. A selection table is defined to select the CSVs. Based on the "Different Phase Mode", the output sequence of the selected CSV is optimized. Accordingly, a reconstruction method is proposed to acquire the phase currents. The core of the FS-DTC is that all of the three phase currents can be reliably reconstructed during every two sampling periods, which is the result of the fast switching between different phases. The errors between the reconstructed and actual currents are strictly limited in one sampling period. The FS-DTC has the advantages of the standard DTC scheme such as simple structure, quick torque response and robustness. As can be seen in the analysis, the FS-DTC can be thought of as an equivalent standard DTC scheme with 86.6% of the maximum speed, 173.2% of the torque ripple, and 115% of the response time of the torque. Based on a dSPACE DS1103 controller, the FS-DTC is implemented in an induction machine drive system. The results verify the effectiveness of the FS-DTC.

• 한국콘텐츠학회논문지
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• 제7권2호
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• pp.1-10
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• 2007

본 논문에서는 AAM(Active Appearance Model)과 가버 특징 벡터를 이용한 얼굴 인식 시스템을 제안한다. 가버 특징 벡터를 사용하는 대표적인 얼굴 인식 알고리즘인 EBGM(Elastic Bunch Graph Matching)은 가버 특징 벡터를 추출하기 위해 얼굴 특징점들의 검출을 필요로 한다. 그런데, EBGM에서 사용되는 얼굴 특징점 검출 방법은 가버젯 유사도에 기반하는데 이는 초기점에 민감하다. 잘못된 특징점 검출은 얼굴 인식에 영향을 미친다. AAM은 얼굴 특징점 검출에 효과적인 것으로 알려져 있다. 본 논문에서는 AAM으로 얼굴 특징점들을 대략적으로 추정하고 추정된 특징점들을 초기점으로 하여 가버젯 유사도 기반 특징점 검출방법으로 특징점 검출을 정교화하는 얼굴 특징점 검출 방법과 이에 기반한 얼굴 인식 시스템을 제안한다. 실험을 통해 제안된 특징점 검출 방법을 사용한 얼굴 인식 시스템이 EBGM과 같이 기존 가버젯 유사도만의 얼굴 특징점 검출을 이용한 얼굴 인식 시스템보다 더 나은 성능 개선을 보임을 실험을 통해 확인하였다.