• 전력전자학회논문지
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• 제7권2호
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• pp.178-185
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• 2002

본 연구에서는 왜형되고 불평형인 전원의 정상분 순시전압 검출기법(Detection Method of Instantaneous Positive Sequence Voltage : PSD)에 의한 3상 3선 능동전력필터 시스템을 제작하였다. 불평형 및 왜형된 전원전압은 PSD에 의하여 정상분 순시전압을 실시간으로 검출한 후 순시전력이론의 상변환 행렬을 연산하고 있으며, 따라서 왜형되고 불평형된 전원조건에 순시전력이론을 적용하기 위하여 종전의 순시전력이론의 수학적인 구조를 변경할 필요가 없다. 본 연구에서 구현된 방법의 타당성을 입증하기 위해, 왜형된 B상 전압을 20% 증가시킨 전원과 불평형 비선형 부하 조건하에서 정상상태 및 과도상태의 실험을 수행하였으며, PSD가 없는 방법에 비하여 구현된 방법의 유용성을 입증할 수 있었다.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제51권4호
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• pp.203-209
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• 2002

This paper presents a new control scheme for a DVR(Dynamic Voltage Restorer) system consisting of series voltage source PWM converters. To control negative sequence component of source voltage the detection of negative sequence is necessary. Generally, filtering process is used tn do that. Through this filtering process has some problems. This paper suggests a new method of separating positive and negative sequences. This control system is designed using differential controllers and digital filters, and positive sequence and negative sequences are controlled respectively. The performance of the presented controller and scheme are confirmed through simulation and actual experiment by 2.5kVA prototype DVR.

• 전력전자학회논문지
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• 제4권3호
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• pp.275-284
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• 1999

3산 전력 시스템에서 불평형 전원의 전압은 대칭좌표법에 의하여 정상, 역상, 영상성분으로 각각 분해 될 수 있고 또한 전력 시스템에 중성선이 없는 경우 영상성분은 부하측에 나타나지 않게 된다. 따라서 중성선이 없는 불평형 시스템에서는 전원측의 역상성분만을 검출하여 보상함으로써 부하측에 평형된 전압을 공급할 수 있을 뿐만 아니라 정상성분의 크기를 제어함으로써 부하에 인가되는 전압의 크기를 조정하는 것이 가능하다. 아울러 이러한 불평형 전압에 의한 각 대칭분은 3상 2상 변환을 통한 동기좌표축상에서의 효율적인 검출이 가능한데, 본 논문에서는 전원의 불평형 성분을 동기좌표축 상에서 순시적으로 검출하여 이를 보상하고 부하의 전압조정 기능 역시 수행하는 순간전압보상기의 보상 알고리즘 및 이때 좌표변환시 필요한 전원의 위상각 정보를 전원의 정상성분에 일치시키는 새로운 위상각 검출 알고리즘을 제안한다. 제안된 보상 시스템의 성능 및 특성을 시뮬레이션을 통하여 해석하고 실험으로써 검증하였다.

• Journal of Electrical Engineering and Technology
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• 제11권6호
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• pp.1839-1845
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• 2016

Detecting remote targets is important to active protection system (APS) or infrared search and track (IRST) applications. In normal situation, the well-known constant false alarm rate (CFAR) detector works properly. However, decoys in APS or closely spaced targets in IRST degrade the detection capability by increasing background noise level in the CFAR detector. This paper presents a context aware CFAR detector by the intensity sorting and selection of background region to reduce the effect of neighboring targets that lead to incorrect estimation of background statistics. The existence of neighboring targets can be recognized by intensity sorting where neighboring targets usually show highest ranks. The proposed background statistics (mean, standard deviation) estimation method from median local pixels can be aware of the background context and reduce the effects of the neighboring targets, which increase the signal-to-clutter ratio. The experimental results on the synthetic APS sequence, real adjacent target sequence, and remote pedestrian sequence validated that the proposed method produced an enhanced detection rate with the same false alarm rate compared with the hysteresis-CFAR (H-CFAR) detection.

• 대한의생명과학회지
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• 제16권2호
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• pp.127-131
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• 2010

Mycobacterium leprae detection is difficult even with molecular biological techniques due to the low sensitivity of current methodologies. In this report, real-time PCR targeting the M. leprae-specific repetitive element (RLEP) sequence was developed as a new diagnostic tool and evaluated using clinical specimens. For this, M. leprae DNAs were extracted from skin biopsy specimens from 80 patients and analyzed by real-time PCR using TaqMan probe. Then, the detection efficiency of the real-time PCR was compared with that of standard PCR. In brief, the rate of positive detection by the standard PCR and real-time PCR was 32.50% and 66.25%, respectively. The results seemed to clearly show that the TaqMan real-time PCR developed in this study may be a useful tool for sensitive detection of M. leprae from clinical specimens.

• 센서학회지
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• 제32권6호
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• pp.481-486
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• 2023

Anomaly detection holds paramount significance across diverse fields, encompassing fraud detection, risk mitigation, and sensor evaluation tests. Its pertinence extends notably to the military, particularly within the Warrior Platform, a comprehensive combat equipment system with wearable sensors. Hence, we propose a data-compression-based anomaly detection approach tailored to unlabeled time series and sequence data. This method entailed the construction of two distinctive features, typicality and atypicality, to discern anomalies effectively. The typicality of a test sequence was determined by evaluating the compression efficacy achieved through the pattern dictionary. This dictionary was established based on the frequency of all patterns identified in a training sequence generated for each sensor within Warrior Platform. The resulting typicality served as an anomaly score, facilitating the identification of anomalous data using a predetermined threshold. To improve the performance of the pattern dictionary method, we leveraged atypicality to discern sequences that could undergo compression independently without relying on the pattern dictionary. Consequently, our refined approach integrated both typicality and atypicality, augmenting the effectiveness of the pattern dictionary method. Our proposed method exhibited heightened capability in detecting a spectrum of unpredictable anomalies, fortifying the stability of wearable sensors prevalent in military equipment, including the Army TIGER 4.0 system.

• Fisheries and Aquatic Sciences
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• 제15권2호
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• pp.157-162
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• 2012

To analyze nucleotide sequence encoding internal transcribed spacer (ITS) regions specific to the Laminariaceae family, genomic DNA was isolated from six brown algae species distributed along the east coast of Korea. These included three species from the Laminariaceae family (Agarum clathratum Dumortier, Costaria costata [C. Agardh] Saunders, and Saccharina japonica Areschoug) and two species from the Alariaceae family (Undaria pinnatifida [Harvey] Suringer and Ecklonia cava Kjellman), both in the order Laminariales, and one species from the family Sargassaceae in the order Fucales (Sargassum serratifolium). Based on a sequence analysis of ITS-1 and ITS-2 for A. clathratum, C. costata, and E. cava, oligonucleotides were designed from the regions that showed sequence conservation in Laminariaceae. Following polymerase chain reaction using three sets of primers, amplification of ITS-1 and ITS-2 was detected in reactions using genomic DNA isolated from the species belonging to Laminariaceae, but not from the species belonging to the other families. The results indicate that this method can be used for the detection and identification of Laminariaceae species.

• 반도체디스플레이기술학회지
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• 제7권3호
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• pp.45-49
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• 2008

Face detection and tracking technology on video sequence has developed indebted to commercialization of teleconference, telecommunication, front stage of surveillance system using face recognition, and video-phone applications. Complex background, color distortion by luminance effect and condition of luminance has hindered face recognition system. In this paper, we have proceeded to research of face recognition on video sequence. We extracted facial area using luminance and chrominance component on $YC_bC_r$ color space. After extracting facial area, we have developed the face recognition system applied to our improved algorithm that combined PCA and LDA. Our proposed algorithm has shown 92% recognition rate which is more accurate performance than previous methods that are applied to PCA, or combined PCA and LDA.

• 전자공학회논문지S
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• 제36S권9호
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• pp.27-35
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• 1999

본 논문은 정수론에 기반하여, PN (Pseudo Noise) 확산부호를 포함한 이원부호의 위상오프셋 오류검출방법을 제안한다. 부호분할다원접속 (code division multiple access : CDMA) 이동 통신 시스템에서는 확산부호의 위상오프셋을 인용하여, 각 기지국을 구분하고 있으므로 위상오프셋을 안다는 것은 매우 중요하다. 부호의 주기가 길지 않을 경우는 한 부호와 이전된 부호 사이의 위상 오프셋은 두 부호를 비교하여 구할 수 있지만, 부호의 주기가 길어지면 이러한 방법으로는 어려움이 따른다. 제안된 방법의 오류검출실패확률 식을 유도하고 시뮬레이션 결과를 이용하여 검증한다. 그리고 회고 구현 방법에 관하여서도 논하며, 간단한 회로로 구현할 수 있음을 보인다.

• Journal of Communications and Networks
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• 제16권1호
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• pp.92-97
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• 2014

A novel method for extracting frequency slippage signal from radar full pulse sequence is presented. For the radar full pulse sequence received by radar interception receiver, radio frequency (RF) and time of arrival (TOA) of all pulses constitute a two-dimensional information sequence. In a complex and intensive electromagnetic environment, the TOA of pulses is distributed unevenly, randomly, and in a nonstationary manner, preventing existing methods from directly analyzing such time series and effectively extracting certain signal features. This work applies Gaussian noise insertion and structure function to the TOA-RF information sequence respectively such that the equalization of time intervals and correlation processing are accomplished. The components with different frequencies in structure function series are separated using empirical mode decomposition. Additionally, a chaos detection model based on the Duffing equation is introduced to determine the useful component and extract the changing features of RF. Experimental results indicate that the proposed methodology can successfully extract the slippage signal effectively in the case that multiple radar pulse sequences overlap.