• Proceedings of the Korean Society For Composite Materials Conference
• /
• 2003.10a
• /
• pp.158-162
• /
• 2003

The PVDF(polyvinylidene fluoride) film sensor as one of smart sensors has good characteristics to detect the impact damages of composite structures. The capabilities of the PVDF film sensor for evaluating impact behaviors and damages of Gr/Ep laminates subjected to low-velocity impact were examined. From sensor signals, the specific wave-forms implying the damage were detected. The wavelet transform(WT) and Short Time Fourier Transform(STFT) were used to decompose the piezoelectric sensor signals in this study. The impact behaviors of Gr/Ep laminates were simulated and the impact forces were reconstructed using the sensor signals. Finally, the impact damages were predicted by finite element analysis with the reconstructed forces. For experimental verification, a series of low-velocity impact tests from low energy to damage-induced energy were carried-out. The extent of damage in each case was examined by means of ultrasonic C-scan and the measured damage areas were agreed well with the predicted areas by the F.E.A.

• Transactions of the Korean Society for Noise and Vibration Engineering
• /
• v.15 no.7 s.100
• /
• pp.781-787
• /
• 2005

The correlation dimension can provide some intrinsic Information of an underlying dynamic system by reconstructing measured nonlinear time series. The vibration signals measured from a rotor with different clearance sizes between shaft and bushing were analyzed using the correlation dimension. The results showed that the correlation dimension can identify the size of the clearance of a rotor and the lubricating condition, which can not be analyzed by frequency spectrum or wavelet. The magnitude of the correlation dimension became smaller as the clearance larger and as the lubrication condition better.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2003.11a
• /
• pp.395-400
• /
• 2003

Power steering oil pump is generally used to support the power to steering system of most kinds of vehicle. The noise caused by power steering ell pump make passenger to be uncomfortable, because its frequency is higher than that is produced by engine. In this paper, the field test of real car was carried out to analyze the phenomenon of the pump noise, and the lab test was also performed to survey the dynamic characteristics of pump assembly. The results of the series of tests show that frequency range of 600-800㎐ should be dealt with to reduce the pump noise. After four cases of design changes were carried out to actually reduce the noise and tested in condition of partial assembly. Some improvement can be gotten from a certain design change.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2000.10b
• /
• pp.1425-1428
• /
• 2000

본 논문에서는 빠르고 정확하게 기후를 예측, 분석하기 위해 웨이브렛 변환을 통해 Data의 특징을 추출하고 이를 신경망의 입력값으로 사용하는 기상예측시스템은 제안하였다. 또한 학습이 잘되지 않는 패턴에 대한 집중적인 학습을 수행할 수 있는 Epsilon Descending 학습방법을 사용하여 정확도를 상승시켰다. 예측실험결과 웨이브렛 변환을 데이터의 전처리 과정에 삽입한 제안 기상예측시스템이 기존의 신경망만을 통한 기상예측시스템에 비해 예측능력면에서 훨씬 더 우수함을 보였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2001.10a
• /
• pp.801-804
• /
• 2001

This article is concerned with automatic segmentation of two adjacent vowels for speech signals. All kinds of transition case of adjacent vowels can be characterized by spectrogram. Firstly the voiced-speech is extracted by the histogram analysis of vowel indicator which consists of wavelet low pass components. Secondly given phonetic transcription and transition pattern spectrogram, the voiced-speech portion which has consecutive vowels automatically segmented by the template matching. The cross-correlation function is adapted as a template matching method and the modified correlation coefficient is calculated for all frames. The largest value on the modified correlation coefficient series indicates the boundary of two consecutive vowel sounds. The experiment is performed for 154 vowel transition sets. The 154 spectrogram templates are gathered from 154 words(PRW Speech DB) and the 161 test words(PBW Speech DB) which are uttered by 5 speakers were tested. The experimental result shows the validity of the method.

• Environmental Analysis Health and Toxicology
• /
• v.23 no.4
• /
• pp.231-245
• /
• 2008

Various methods for detecting changes in response behaviors of indicator specimens are presented for monitoring effects of toxic treatments. The movement patterns of individuals are quantitatively characterized by statistical (i.e., ANOVA, multivariate analysis) and computational (i.e., fractal dimension, Fourier transform) methods. Extraction of information in complex behavioral data is further illustrated by techniques in ecological informatics. Multi-Layer Perceptron and Self-Organizing Map are applied for detection and patterning of response behaviors of indicator specimens. The recent techniques of Wavelet analysis and line detection by Recurrent Self-Organizing Map are additionally discussed as an efficient tool for checking time-series movement data. Behavioral monitoring could be established as new methodology in integrative ecological assessment, tilling the gap between large-scale (e.g., community structure) and small-scale (e.g., molecular response) measurements.

• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.2088-2089
• /
• 2007

본 논문은 직렬 아크고장 신호분석과 관련된 연구로서, 정상상태와 아크고장 상태에서 발생하는 전압 전류를 검출하여 아크고장 전류의 특이점을 분석하였다. 역률이 1인 저항성 부하와 L성 부하, C성 부하를 구성하고, 순시 임피던스 분석, FFT 분석, 웨이블렛 분석 방법을 사용하였다. 분석결과 순시 임피던스 분석방법과 FFT 분석방법에서는 직렬 아크고장 신호의 특이점을 찾을 수 있었으나 정량화하기가 어렵고, 웨이블렛 분석방법으로는 직렬 아크고장 신호의 특이점 검출 및 정량화 가능성을 발견할 수 있었다.

• Journal of the Korean association of regional geographers
• /
• v.21 no.3
• /
• pp.593-607
• /
• 2015

This study examined the Holocene environmental changes by OSL dating and magnetic susceptibility (MS) in 12 sediment cores from estuarine tidal flat, Mosan Bay Estuary, west coast of Korea. For the complexity of the geomorphic characteristics of estuaries, it is difficult to obtain a series of data. The following significant results were derived using relatively simple methods. First, MS data shows sensitive changes in pattern according to the precipitation change during mid to late Holocene. Second, MS data show periodicity of 250 yr. when they were wavelet transformed. This periodicity is related with the intensifying of solar intensity, the East Asian Summer Monsoon and ENSO. Thus, MS data from estuarine sediments are valuable data which can explain mechanism of climate change in East Asia and worthy as proxy data.

• Korean Journal of Cognitive Science
• /
• v.20 no.2
• /
• pp.155-181
• /
• 2009

Psychophysiologists are often interested in the EEG signals that accompany certain psychological events. When one is interested in a time series of event-related changes in EEG, one focuses on examining how the waveforms recorded at individual electrode sites vary over time across one or more experimental conditions. This is an analysis of event-related potentials (ERPs). In addition to such a classical EEG analysis in the time domain, the EEG measures can be investigated in the frequency domain. Moreover, it has been demonstrated that spectral analyses can often yield significant insight into the functional cognitive correlations of the signals. Therefore, this review paper tries to summarize essential concepts (e.g. phase-locking) and conventional methods (e.g. wavelet transformation) for understanding spectral analyses of brain oscillatory activity. Phase-coherence is also introduced in relation to functional connectivity of the brain.

• Journal of the Korean earth science society
• /
• v.30 no.6
• /
• pp.683-691
• /
• 2009

Geomagnetic variation around May 2, 2009 when Angdong earthquake broke out was analyzed using the data recorded at the Cheong-yang geomagnetic observatory, KMA. Firstly, we predict the geomagnetic variation by PCA analysis of geomagnetic data, and then compare the predicted value with the observed data to find any significant differences in residuals. Secondly, wavelet semblance technique is applied to compare the time series before and after the earthquake. Some meaningful change is detected in the Z-field. Thirdly, eigen value analysis for the 3 component geomagnetic data is performed. The location of the observatory was too far from the epicenter and the magnitude was too small to find decisive precursory phenomenon. Nevertheless we can detect some significant correlation between the earthquake and the variation of the geomagnetic field. Various signal processing methods applied in this study will give some opportunity to find precursory effects in the future.