• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1995년도 추계학술발표회논문집(1)
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• pp.197-202
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• 1995

When the process disturbance of nuclear power plant occurred, the operator should ensure plant safety, economy and identify the causes of disturbance. To accomplish these goals, operator should process a large amounts of information. Among these, alarms would be often in the operator's first indication of a plant state change or disturbance. To support limited information processing capability of operator, considerable works are under way to develop advanced alarm processing systems and to evaluate it. However, conventional evaluation method could provide just evaluation results but the design alternatives to enhance alarm system performance. To overcome problems associated with conventional evaluation methods of alarm system, signal detection theory(SDT) was introduced, and it was possible conclude that SDT could not only evaluate system but also suggest design alternatives for performance enhancement.

• 한국소음진동공학회논문집
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• 제15권4호
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• pp.382-387
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• 2005

For successful guided-wave damage inspection, the appropriate signal processing of measured wave signals is very important. The objective of this paper is to introduce an efficient signal processing technique especially suitable for the guided-waves used for damage detection. The key idea of this technique is to model guided-waves by chirp functions of special form considering the dispersion phenomenon. To determine the parameter of the chirp functions simulating guided-waves, the matching pursuit algorithm is employed. The damage information in waveguides can be extracted by pulse-characterizing parameters. The effectiveness of present method is checked with the guided wave-based damage inspection.

• 대한임베디드공학회논문지
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• 제5권2호
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• pp.93-102
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• 2010

The FMCW(Frequency Modulation Continuous Wave) radar possesses range-velocity ambiguity to identify the correct combination of beat frequencies for each target in the multi-target situation. It can lead to ghost targets and missing targets, and it can reduce the detection probability. In this pap er, we propose an effective identification algorithm for the correct pairs of beat frequencies and the signal processing hardware architecture to effectively support the algorithm. First, using the correlation of the detected up- and down-beat frequencies and Doppler frequencies, the possible combinations are determined. Then, final pairing algorithm is completed with the power spectrum density of the correlated up- and down-beat frequencies. The proposed hardware processor has the basic architecture consisting of beat-frequency registers, pairing table memory, and decision unit. This method will be useful to improve the radar detection probability and reduce the false alarm rate.

• Structural Monitoring and Maintenance
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• 제1권1호
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• pp.1-45
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• 2014

The developments and implementations of the structural health monitoring (SHM) system for large infrastructures have been gradually recognized by researchers, engineers and administrative authorities in the last decades. This paper summarizes an updated review on innovations and applications in SHM for infrastructures carried out by researchers at Dalian University of Technology. Invented sensors and data acquisition system are firstly briefly described. And then, some proposed theories and methods including the sensing technology, sensor placement method, signal processing and data fusion, system identification and damage detection are discussed in details. Following those, the activities on the standardization of SHM and several case applications on specific types of structure are reviewed. Finally, existing problems and promising research efforts in the field of SHM are given.

• 융합신호처리학회논문지
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• 제12권4호
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• pp.228-236
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• 2011

Emotion recognition plays an important role in the research area of human-computer interaction, and it allows a more natural and more human-like communication between humans and computer. Most of previous work on emotion recognition focused on extracting emotions from face, speech or EEG information separately. Therefore, a novel approach is presented in this paper, including face, speech and EEG, to recognize the human emotion. The individual matching scores obtained from face, speech, and EEG are combined using a weighted-summation operation, and the fused-score is utilized to classify the human emotion. In the experiment results, the proposed approach gives an improvement of more than 18.64% when compared to the most successful unimodal approach, and also provides better performance compared to approaches integrating two modalities each other. From these results, we confirmed that the proposed approach achieved a significant performance improvement and the proposed method was very effective.

• 융합신호처리학회논문지
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• 제13권1호
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• pp.19-25
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• 2012

An adaptive system is a well-known method for removing noise from noise-corrupted speech. In this paper, we perform a least mean square (LMS) based on wavelet adaptive algorithm. It establishes the faster convergence rate of as compared to time domain because of eigenvalue distribution width. And this paper provides the basic tool required for the FIR algorithm whose algorithm reduces the arithmetic complexity. We consider a new fast short-length running FIR structure in discrete wavelet adaptive algorithm. We compare FIR algorithm and short-length fast running FIR algorithm (SFIR) to the proposed fast short-length running FIR algorithm(FSFIR) for arithmetic complexities.

• 융합신호처리학회논문지
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• 제14권1호
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• pp.13-20
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• 2013

A combined DWT and DCT based watermarking technique of low frequency watermarking with weighted correction is proposed. The DWT has excellent spatial localization, frequency spread and multi-resolution characteristics, which are similar to the theoretical models of the human visual system (HVS). The DCT based watermarking techniques offer compression while DWT based watermarking techniques offer scalability. These desirable properties are used in this combined watermarking technique. In the proposed method watermark bits are embedded in the low frequency band of each DCT block of selected DWT sub-band. The weighted correction is also used to improve the imperceptibility. The extracting procedure reverses the embedding operations without the reference of the original image. Compared with the similar approach by DCT based approach and DWT based approach, the experimental results show that the proposed algorithm apparently preserves superiori mage quality and robustness under various attacks such as JPEG compression, cropping, sharping, contrast adjustments and so on.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2001년도 하계 학술대회 논문집(KISPS SUMMER CONFERENCE 2001
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• pp.61-64
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• 2001

초저속 고압축 비디오는 고압축 부호화를 위해 주로 P-픽쳐 부호화 방법을 사용한다. P-픽쳐는 현재 프레임과 이전 프레임간의 데이터 의존성이 높기 때문에 전송시 패킷 손실이 발생할 경우 복원 영상에 심각한 화질 열화를 야기할 수가 있다. 따라서 본 논문에서 초저속 고압축 비디오 데이터에 대한 미디어내 동기화를 위해 TCP 기반 멀티스트림 생성 기법을 제안한다. 제안한 기법은 TCP 기반으로 신뢰성 있는 전송이 가능하며, 멀티 스트립을 통해 병렬 전송이 가능하므로, TCP 기반에서 네트워크 트랙픽에 의해 발생하는 지터에 민감하지 않아 최선의 서비스를 제공할 수 있다.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2001년도 하계 학술대회 논문집(KISPS SUMMER CONFERENCE 2001
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• pp.97-100
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• 2001

본 논문은 2자유도 평행링크 로봇의 고속궤적 추적시 링크간의 간섭을 최소화하고 시스템의 불확실성에도 불구하고 설계사양을 만족하는 제어기 설계방법을 소개한다. 이를 위해 ICD기법으로 평행링크 로봇의 채널을 분리하고 QFT를 이용해서 각 채널의 제어기를 설계한다. 마지막으로 시뮬레이션과 실험을 통해 QFT 제어기의 강인성과 우수성을 확인한다.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2001년도 하계 학술대회 논문집(KISPS SUMMER CONFERENCE 2001
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• pp.201-204
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• 2001

디지털 카메라를 이용하여 인체의 영상을 촬영하여 3D 인체를 계측하는 영상 계측 방법을 제안한다. 영상 계측을 위해 인체 촬영 환경을 설정하고, 정면, 측면, 후면의 인체 2D 영상을 촬영하여 사영투영을 고려하여 3D 인체를 추정하는 알고리즘을 개발한다. 인체 계측의 항목 중 40항목에 대해 직접 계측, 영상 계측, 3D 계측을 3인이 교대로 시행한 결과를 비교하고 있다. 계측자별, 계측 방법별로 비교할 때, 영상 계측은 최대오차 0.44cm로 3D 계측(허용오차 0.5cm)와 유사하여, 직접 계측에 비해 우수한 성능을 나타내고 있다. 이것은 영상 계측에서 사영투영을 이용하여 인체의 3D위치를 추정하여 계측 결과를 보정하고 있기 때문이다. 또한, 계측치 이외에 계측 장비, 비용, 기동성, 인력 부담등 여러 가지면 에서도 영상 계측은 장점을 고루 갖춘 방법으로 인체 계측에 사용할 수 있는 새로운 방법으로 기대된다.