• Journal of the Optical Society of Korea
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• 제4권2호
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• pp.89-93
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• 2000

Recently a new signal processing algorithm for white light interferometry was presented. In this paper, the proposed signal processing algorithm was applied for absolute temperature measurement using white light interferometry. Stability testing and absolute temperature measurement were demonstrated. Stability test demonstrated the feasibility of absolute temperature measurement with an accuracy of 0.015 fringe. The test also showed that the absolute temperature measurement system using white light interferometry is capable of obtaining the theoretical minimum detectable change (0.0005 fringe), which is consistent with the performance predicted by the proposed signal processing algorithm.

• 비파괴검사학회지
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• 제25권3호
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• pp.201-208
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• 2005

In this paper, absolute and differential eddy current signals from various defects in the steam generator tube are numerically predicted and their signal slope characteristics are investigated. The signal changes due to frequency increase are also observed. After studying signal patterns from various defects and frequencies, the analysis of mixed defect signals affected by the presence of a ferromagnetic support plate is attempted. For the signal prediction, axisymmetric finite element modeling is used and this leads us to the slope angle analysis of the signal. Results show that differential signals are useful for locating the position of a defect under the support plate, while absolute signals are easy to presume and interpret even though the effect of support plate is mixed. Combined use of these two types of signals will help us accomplish a more reliable inspection.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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• pp.1615-1618
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• 1987

시간 영역에서 만들어진 음성신호의 파라미터을 이용하여 주어진 음성신호의 구간이 유성음, 무성음, 혹은 묵음인지를 분류하는 새로운 알고리듬을 제시하였다. 이에 사용한 파라미터은 구간내에서 샘플링된 값의 절대치 합과 일정한 level 이상의 peak의 합(T-peak), T-peak와 절대치 합의 비 그리고, DPCM의 절대치 합들이다. 이를 파라미터를 이용하여 간단히 유성음/무성음/묵음 구간을 분류 할였다. This paper proposes new algorithm for classifying speech signal frame into voiced, unvoiced, silence frame, using the parameters extracted from time domain behavior of speech signal The parameters used in this paper are absolute magnitude, the sum of peaks lager than reference level (T-peak), the ratio of T-peak to absolute magnitude and the magnitude of signal outputs of DPCM. Using this parameters, speech signal is more easily classified into voiced/unvoiced/silence frame.

• 비파괴검사학회지
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• 제24권4호
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• pp.315-324
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• 2004

와전류 탐상에서 차동형 탐촉자는 신호에 영향을 미치는 변수들을 줄일 수 있어 흔히 사용된다 그러나 차동신호는 인접한 두 코일의 임피던스 차이를 신호로 사용하기 때문에 신호예측이나 해석이 쉽지 않다는 단점이 있다. 반면에 절대코일에 의한 신호는 상대적으로 형태가 단순하므로 신호예측이나 해석이 더 수월하다. 따라서 서로의 장, 단점을 상호보완적으로 사용하면 검사 신뢰도를 향상시키는데 큰 도움이 될 것이다. 본 논문에서는 인코넬 평판과 튜브에서 절대코일 신호를 예측하기 위하여 유한요소해석을 수행하였고, 리프트 오프, 충전율, 전도도, 탐상 주파수, 피검사체의 두께, 내, 외부 결함 등이 신호에 미치는 영향을 계산하여 임피던스 평면도로 작성하고, 신호특징을 분석하였다. 그 결과, 절대신호에 대한 많은 실용적인 지식을 축적할 수 있었고, 절대신호와 차동신호 특성의 유사성을 이해하게 되었으며, 결함깊이와 주파수 변화에 따른 신호의 기울기를 대응곡선 그래프로 자성할 수 있었다.

• 비파괴검사학회지
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• 제26권3호
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• pp.174-180
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• 2006

Steam generator (SG) tubes are expanded inside tubesheet holes by using explosive or hydraulic methods to be fixed in a tubesheet. In the tube expansion process, it is important to minimize the crevice gap between expanded tube and tube sheet. In this paper, absolute and differential signals are computed by a numerical method for several different locations of tube expansion inside and outside a tubesheet and signal variations due to tubesheet, tube expansion and operating frequencies are observed. Results show that low frequency is good for detecting tubesheet location in both types of signals and high frequency is suitable for sizing of tube diameter as well as the detection of transition region. Also learned is that the absolute signal is good for measuring tube diameter, while the differential signal is good for locating the top of tubesheet and both ends of the transition region. In the case of mingled anomaly with tube expansion and tubesheet, low frequency inspection is found to be useful to analyze the mixed signal.

• Journal of the Optical Society of Korea
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• 제19권1호
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• pp.95-101
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• 2015

To accurately extract absolute distance information from a self-mixing interferometry (SMI) signal, in this paper we propose an approach based on a particle swarm optimization (PSO) algorithm instead of frequency estimation for absolute distance. The algorithm is utilized to search for the global minimum of the fitness function that is established from the self-mixing signal to find out the actual distance. A resolution superior to $25{\mu}m$ in the range from 3 to 20 cm is obtained by experimental measurement, and the results demonstrate the superiority of the proposed approach in comparison with interpolated FFT. The influence of different external feedback strength parameters and different inertia weights in the algorithm is discussed as well.

• 한국정보통신학회논문지
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• 제15권5호
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• pp.1018-1024
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• 2011

최대 토크를 발휘하도록 정현파형 영구자석형 동기전동기를 구동하기 위해서는 회전자 절대위치에 동기화된 120도 위상차를 갖는 3상 정현파 전류 입력이 고정자 코일에 요구된다. 그러므로 회전자 절대위치 검출이 필연적이다. 그리고 고정자 자계와 회전자 자계 사이의 90도 위상 관계가 정류 동작에 의해 유지되어야 한다. 정류를 위한 절대 위치 검출은 일반적으로 모터 축에 부착된 엔코더 출력 신호의 분석에 의해 이루어진다. 본 연구는 현대의 엔코더 시스템을 부착한 모터의 절대위치를 검출 할 수 있는 신호처리 논리회로 설계를 목적으로 하며, 고정자 코일에 정현파 전류 입력을 만들어주기 위한 삼상 기준파형을 발생시킨다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 B
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• pp.942-944
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• 2005

In this study, eddy current signals from various anomalous defects in the heat exchanger tube are predicted af their signal slope characteristics no analyzed. The signal changes due to frequency increase are also observed. Based in the accumulated knowledge, the analysis of superimposed signal is attempted which includes the effects of support plate. Both differential and absolute bobbin probe signals are analyzed. For the prediction of signals, axisymmetric finite element modeling is used and this leads us to the utilization of slope angle analysis of the signal. Results show that differential signals are useful to locate the position of defect under the support plate and absolute signals no easy to predict and analyze even though they no superimposed signals. Combined use of these two types of signals will accomplish a reliable inspection.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 추계종합학술대회
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• pp.180-184
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• 2007

최대 토크를 발휘하도록 정현파형 연구자석형 동기전동기를 구동하기 위해서는 회전자 절대위치에 동기화된 120도 위상차를 갖는 3상 정현파 전류 입력이 고정자 코일에 요구된다. 그러므로 회전자 절대위치 검출이 필연적이다. 그리고 고정자 자계와 회전자 자계 사이의 90도 위상 관계가 정류 동작에 의해 유지 되야 한다. 정류를 위한 절대 위치 검출은 일반적으로 모터 축에 부착된 엔코더 출력 신호의 분석에 의해 이루어진다. 본 연구는 현대의 엔코더 시스템을 부착한 모터의 절대위치를 검출 할 수 있는 신호처리 논리회로 설계를 목적으로 하며, 고정자 코일에 정현파 전류 입력을 만들어주기 위한 삼상 기준파형을 발생시킨다.

• 한국정보시스템학회지:정보시스템연구
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• 제26권3호
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• pp.63-90
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• 2017

Purpose This study proposes a novel system trading model using case-based reasoning (CBR) based on absolute similarity threshold. The proposed model is designed to optimize the absolute similarity threshold, feature selection, and instance selection of CBR by using genetic algorithm (GA). With these mechanisms, it enables us to yield higher returns from stock market trading. Design/Methodology/Approach The proposed CBR model uses the absolute similarity threshold varying from 0 to 1, which serves as a criterion for selecting appropriate neighbors in the nearest neighbor (NN) algorithm. Since it determines the nearest neighbors on an absolute basis, it fails to select the appropriate neighbors from time to time. In system trading, it is interpreted as the signal of 'hold'. That is, the system trading model proposed in this study makes trading decisions such as 'buy' or 'sell' only if the model produces a clear signal for stock market prediction. Also, in order to improve the prediction accuracy and the rate of return, the proposed model adopts optimal feature selection and instance selection, which are known to be very effective in enhancing the performance of CBR. To validate the usefulness of the proposed model, we applied it to the index trading of KOSPI200 from 2009 to 2016. Findings Experimental results showed that the proposed model with optimal feature or instance selection could yield higher returns compared to the benchmark as well as the various comparison models (including logistic regression, multiple discriminant analysis, artificial neural network, support vector machine, and traditional CBR). In particular, the proposed model with optimal instance selection showed the best rate of return among all the models. This implies that the application of CBR with the absolute similarity threshold as well as the optimal instance selection may be effective in system trading from the perspective of returns.