• 제목/요약/키워드: non-stationary noise

검색결과 111건 처리시간 0.021초

Effects of Phenotypic Variation on Evolutionary Dynamics

  • Kang, Yung-Gyung;Park, Jeong-Man
    • Journal of the Korean Physical Society
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    • 제73권11호
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    • pp.1774-1786
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    • 2018
  • Phenotypic variation among clones (individuals with identical genes, i.e. isogenic individuals) has been recognized both theoretically and experimentally. We investigate the effects of phenotypic variation on evolutionary dynamics of a population. In a population, the individuals are assumed to be haploid with two genotypes : one genotype shows phenotypic variation and the other does not. We use an individual-based Moran model in which the individuals reproduce according to their fitness values and die at random. The evolutionary dynamics of an individual-based model is formulated in terms of a master equation and is approximated as the Fokker-Planck equation (FPE) and the coupled non-linear stochastic differential equations (SDEs) with multiplicative noise. We first analyze the deterministic part of the SDEs to obtain the fixed points and determine the stability of each fixed point. We find that there is a discrete phase transition in the population distribution when the probability of reproducing the fitter individual is equal to the critical value determined by the stability of the fixed points. Next, we take demographic stochasticity into account and analyze the FPE by eliminating the fast variable to reduce the coupled two-variable FPE to the single-variable FPE. We derive a quasi-stationary distribution of the reduced FPE and predict the fixation probabilities and the mean fixation times to absorbing states. We also carry out numerical simulations in the form of the Gillespie algorithm and find that the results of simulations are consistent with the analytic predictions.

유연한 지지 구조와 유체 동압 베어링으로 지지되는 HDD의 회전 유연 디스크-스핀들 시스템에 대한 유한 요소 고유 진동 해석 (Finite Element Modal Analysis of a Spinning Flexible Disk-spindle System Supported by Hydro Dynamic Bearings and Flexible Supporting Structures in a HDD)

  • 한재혁;장건희
    • 한국소음진동공학회논문집
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    • 제15권3호
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    • pp.251-258
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    • 2005
  • The free vibration of a spinning flexible disk-spindle system supported by hydro dynamic bearings (HDB) in an HDD is analyzed by FEM. The spinning flexible disk is described using Kirchhoff plate theory and von Karman non-linear strain, and its rigid body motion is also considered. It is discretized by annular sector element. The rotating spindle which includes the clamp, hub, permanent magnet and yoke, is modeled by Timoshenko beam including the gyroscopic effect. The flexible supporting structure with a complex shape which includes stator core, housing, base plate, sleeve and thrust pad is modeled by using a 4-node tetrahedron element with rotational degrees of freedom to satisfy the geometric compatibility. The dynamic coefficients of HDB are calculated from the HDB analysis program, which solves the perturbed Reynolds equation using FEM. Introducing the virtual nodes and the rigid link constraints defined in the center of HDB, beam elements of the shaft are connected to the solid elements of the sleeve and thrust pad through the spring and damper element. The global matrix equation obtained by assembling the finite element equations of each substructure is transformed to the state-space matrix-vector equation, and the associated eigen value problem is solved by using the restarted Arnoldi iteration method. The validity of this research is verified by comparing the numerical results of the natural frequencies with the experimental ones. Also the effect of supporting structures to the natural modes of the total HDD system is rigorously analyzed.

차량용 음성인식을 위한 주변잡음에 강건한 브라인드 음원분리 (Robust Blind Source Separation to Noisy Environment For Speech Recognition in Car)

  • 김현태;박장식
    • 한국콘텐츠학회논문지
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    • 제6권12호
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    • pp.89-95
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    • 2006
  • 독립성분분석을 사용한 암묵신호분리의 성능은 잔향이 존재하는 환경에서 잔류 누설 성분 (cross-talk) 때문에 현저히 저하된다. 본 논문에서는 잔류 누설 성분을 제거하기 위한 후처리 방법을 제안한다. 제안하는 방법은 주파수 영역에서의 변형된 NLMS(normalized least mean square) 필터를 사용하며 필터의 역할은 잔류 누설 성분을 유발하는 누설 경로를 추정하는 데 있다. 특정 채널에서 잔류하는 누설 성분은 상대 채널의 직접 성분에 해당되므로 관측되는 상대 채널의 입력신호를 이용하여 누설 경로를 추정할 수 있다. 변형된 NLMS 필터는 필터 입력 신호의 전력과 추정 오차 신호의 전력을 함께 고려하여 정규화한다. 특정 채널의 직접 신호 성분은 적응 필터에서 잡음처럼 동작하여 결국 적응필터가 오조정되기 때문에 제안하는 방법을 통해 적응필터의 오조정을 방지할 수 있다. 음성 신호를 사용한 컴퓨터 시뮬레이션 결과를 통해 제안하는 방법이 후처리를 사용하지 않은 경우에 비해 잡음 제거 성능(NRR)이 약 3dB 정도 개선되는 것을 확인 할 수 있다.

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유연한 지지 구조와 유체 동압 베어링으로 지지되는 HDD의 회전 유연 디스크-스핀들 시스템에 대한 유한 요소 고유 진동 해석 (Finite Element Modal Analysis of a Spinning Flexible Disk-Spindle System Supported by Hydro Dynamic Bearings and Flexible Supporting Structures In a HDD)

  • 한재혁;장건희
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 추계학술대회논문집
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    • pp.572-578
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    • 2003
  • The free vibration of a spinning flexible disk-spindle system supported by hydro dynamic bearings in a HDD is analyzed by FEM. The spinning flexible disk is described using Kirchhoff plate theory and von Karman non-linear strain, and its rigid body motion is also considered. It is discretized by annular sector element. The rotating spindle which includes the clamp, hub, permanent magnet and yoke, is modeled by Timoshenko beam including the gyroscopic effect. The flexible supporting structure with a complex shape which includes stator core, housing, base plate, sleeve and thrust pad is modeled by using a 4-node tetrahedron element with rotational degrees of freedom to satisfy the geometric compatibility. The dynamic coefficients of HDB are calculated from the HDB analysis program, which solves the perturbed Raynolds equation using FEM. Introducing the virtual nodes and the rigid link constraints defined in the center of HDB, beam elements of the shaft are connected to the solid elements of the sleeve and thrust pad through the spring and damper element. The global matrix equation obtained by assembling the finite element equations of each substructure is transformed to the state-space matrix-vector equation, and the associated eigenvalue problem is solved by using the restarted Arnoldi iteration method. The validity of this research is verified by comparing the numerical results of the natural frequencies with the experimental ones. Also the effect of supporting structures to the natural modes of the total HDD system is rigorously analyzed.

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Teager Energy 기반의 수정된 파워 스펙트럼 편차를 이용한 음성 검출 (Voice Activity Detection Using Modified Power Spectral Deviation Based on Teager Energy)

  • 송지현;송영록;심현민;이상민
    • 재활복지공학회논문지
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    • 제8권1호
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    • pp.41-46
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    • 2014
  • 본 논문에서는 잡음 상황에서 강인한 음성 특성을 나타내는 TE (teager energy) 기반의 특징벡터를 이용한 음성 검출 알고리즘을 제안하였다. 입력 신호에 TEO (teager energy operator)를 적용하고, 이를 이용하여 음성 검출 알고리즘에서 우수한 성능을 보여주는 파워 스펙트럼 편차를 구하였다. 또한, 제안된 음성 검출 알고리즘의 성능 향상을 위하여 통계적 모델 기반의 우도비를 TE 기반의 파워 스펙트럼 편차의 가중치 요소로 적용하였다. 제안된 알고리즘의 성능 검증을 위해서 전체 오차율, ROC (receiver operating characteristics), PESQ (perceptual evaluation of speech quality)와 같은 객관적 실험을 수행하였다. 실험결과 5dB SNR 이하의 낮은 SNR을 갖는 비 정상 잡음 환경에서 제안한 음성 검출 알고리즘이 약 2.6%의 전체 오차율 감소와 약 0.053의 PESQ 점수 향상을 나타내었다.

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BCI에서 기계 학습을 위한 간질 뇌파 특징 선택을 통한 차원 감소 방법 분석 (Analysis of Dimensionality Reduction Methods Through Epileptic EEG Feature Selection for Machine Learning in BCI)

  • 양통;;임창균
    • 한국전자통신학회논문지
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    • 제13권6호
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    • pp.1333-1342
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    • 2018
  • 지금까지 뇌파(Electroencephalography - EEG)는 뇌전증 진단 및 치료를 위한 가장 중요하고 편리한 방법이었다. 그러나 뇌전증 뇌파 신호의 파형 특성은 매우 약하고 비 정지 상태이며 배경 노이즈가 강하기 때문에 식별하기가 어렵다. 이 논문에서는 간질 뇌파의 특징 선택을 통한 차원 감소를 통한 분류 방법의 효과를 분석한다. 우리는 차원 감소를 위해 주 요소 분석, 커널 요소 분석, 선형 판별 분석 방법을 사용하였다. 차원 감소방법의 성능 분석을 위해 Support Vector Machine: SVM), Logistic Regression(: LR), K-Nearestneighbor(: K-NN), Decision Tree(: DR), Random Forest(: RF) 분류 방법들을 사용해 평가하였다. 실험 결과에 따르면, PCA는 SVM, LR 및 K-NN에서 75% 정확도를 나타냈다. KPCA는 SVM과 K-KNN에서 85%의 성능을 보였으며 LDA는 K-NN를 이용했을 때 100 %의 정확도 보여주었다. 따라서 LDA를 이용한 차원 감소가 뇌전증 EEG 신호에 대한 최고의 분류 결과 보여주었다.

Ethanol inhibits Kv7.2/7.3 channel open probability by reducing the PI(4,5)P2 sensitivity of Kv7.2 subunit

  • Kim, Kwon-Woo;Suh, Byung-Chang
    • BMB Reports
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    • 제54권6호
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    • pp.311-316
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    • 2021
  • Ethanol often causes critical health problems by altering the neuronal activities of the central and peripheral nerve systems. One of the cellular targets of ethanol is the plasma membrane proteins including ion channels and receptors. Recently, we reported that ethanol elevates membrane excitability in sympathetic neurons by inhibiting Kv7.2/7.3 channels in a cell type-specific manner. Even though our studies revealed that the inhibitory effects of ethanol on the Kv7.2/7.3 channel was diminished by the increase of plasma membrane phosphatidylinositol 4,5-bisphosphate (PI(4,5)P2), the molecular mechanism of ethanol on Kv7.2/7.3 channel inhibition remains unclear. By investigating the kinetics of Kv7.2/7.3 current in high K+ solution, we found that ethanol inhibited Kv7.2/7.3 channels through a mechanism distinct from that of tetraethylammonium (TEA) which enters into the pore and blocks the gate of the channels. Using a non-stationary noise analysis (NSNA), we demonstrated that the inhibitory effect of ethanol is the result of reduction of open probability (PO) of the Kv7.2/7.3 channel, but not of a single channel current (i) or channel number (N). Finally, ethanol selectively facilitated the kinetics of Kv7.2 current suppression by voltage-sensing phosphatase (VSP)-induced PI(4,5)P2 depletion, while it slowed down Kv7.2 current recovery from the VSP-induced inhibition. Together our results suggest that ethanol regulates neuronal activity through the reduction of open probability and PI(4,5)P2 sensitivity of Kv7.2/7.3 channels.

A New Approach for Detection of Gear Defects using a Discrete Wavelet Transform and Fast Empirical Mode Decomposition

  • TAYACHI, Hana;GABZILI, Hanen;LACHIRI, Zied
    • International Journal of Computer Science & Network Security
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    • 제22권2호
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    • pp.123-130
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    • 2022
  • During the past decades, detection of gear defects remains as a major problem, especially when the gears are subject to non-stationary phenomena. The idea of this paper is to mixture a multilevel wavelet transform with a fast EMD decomposition in order to early detect gear defects. The sensitivity of a kurtosis is used as an indicator of gears defect burn. When the gear is damaged, the appearance of a crack on the gear tooth disrupts the signal. This is due to the presence of periodic pulses. Nevertheless, the existence of background noise induced by the random excitation can have an impact on the values of these temporal indicators. The denoising of these signals by multilevel wavelet transform improves the sensitivity of these indicators and increases the reliability of the investigation. Finally, a defect diagnosis result can be obtained after the fast transformation of the EMD. The proposed approach consists in applying a multi-resolution wavelet analysis with variable decomposition levels related to the severity of gear faults, then a fast EMD is used to early detect faults. The proposed mixed methods are evaluated on vibratory signals from the test bench, CETIM. The obtained results have shown the occurrence of a teeth defect on gear on the 5th and 8th day. This result agrees with the report of the appraisal made on this gear system.

Considerations of Environmental Factors Affecting the Detection of Underwater Acoustic Signals in the Continental Regions of the East Coast Sea of Korea

  • Na, Young-Nam;Kim, Young-Gyu;Kim, Young-Sun;Park, Joung-Soo;Kim, Eui-Hyung;Chae, Jin-Hyuk
    • The Journal of the Acoustical Society of Korea
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    • 제20권2E호
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    • pp.30-45
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    • 2001
  • This study considers the environmental factors affecting propagation loss and sonar performance in the continental regions of the East Coast Sea of Korea. Water mass distributions appear to change dramatically in a few weeks. Simple calculation with the case when the NKCW (North Korean Cold Water) develops shows that the difference in propagation loss may reach in the worst up to 10dB over range 5km. Another factor, an eddy, has typical dimensions of 100-200km in diameter and 150-200m in thickness. Employing a typical eddy and assuming frequency to be 100Hz, its effects on propagation loss appear to make lower the normal formation of convergence zones with which sonars are possible to detect long-range targets. The change of convergence zones may result in 10dB difference in received signals in a given depth. Thermal fronts also appear to be critical restrictions to operating sonars in shallow waters. Assuming frequency to be 200Hz, thermal fronts can make 10dB difference in propagation loss between with and without them over range 20km. An observation made in one site in the East Coast Sea of Korea reveals that internal waves may appear in near-inertial period and their spectra may exist in periods 2-17min. A simulation employing simple internal wave packets gives that they break convergence zones on the bottom, causing the performance degradation of FOM as much as 4dB in frequency 1kHz. An acoustic experiment, using fixed source and receiver at the same site, shows that the received signals fluctuate tremendously with time reaching up to 6.5dB in frequencies 1kHz or less. Ambient noises give negative effects directly on sonar performance. Measurements at some sites in the East Coast Sea of Korea suggest that the noise levels greatly fluctuate with time, for example noon and early morning, mainly due to ship traffics. The average difference in a day may reach 10dB in frequency 200Hz. Another experiment using an array of hydrophones gives that the spectrum levels of ambient noises are highly directional, their difference being as large as 10dB with vertical or horizontal angles. This fact strongly implies that we should obtain in-situ information of noise levels to estimate reasonable sonar performance. As one of non-stationary noise sources, an eel may give serious problems to sonar operation on or under the sea bottoms. Observed eel noises in a pier of water depth 14m appear to have duration time of about 0.4 seconds and frequency ranges of 0.2-2.8kHz. The 'song'of an eel increases ambient noise levels to average 2.16dB in the frequencies concerned, being large enough to degrade detection performance of the sonars on or below sediments. An experiment using hydrophones in water and sediment gives that sensitivity drops of 3-4dB are expected for the hydrophones laid in sediment at frequencies of 0.5-1.5kHz. The SNR difference between in water and in sediment, however, shows large fluctuations rather than stable patterns with the source-receiver ranges.

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시계열 자료의 단변량 웨이블릿 분석을 위한 모 웨이블릿의 선정 (Selecting a mother wavelet for univariate wavelet analysis of time series data)

  • 이현욱;이진욱;유철상
    • 한국수자원학회논문집
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    • 제52권8호
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    • pp.575-587
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    • 2019
  • 본 연구에서는 모 웨이블릿(mother wavelet)이 웨이블릿 분석에 미치는 영향을 파악하기 위해 먼저 백색잡음과 사인함수를 다양하게 결합한 시계열의 분석을 수행하고 그 결과를 각각 단기기억특성과 장기기억특성을 보이는 북극진동지수(AOI)와 남방진동지수(SOI)에 대한 적용하였다. 본 연구에서는 기존 연구가 하나 또는 두 개의 모 웨이블릿 평가에 제한된 것과는 달리 총 4가지의 웨이블릿에 대한 비교 평가를 수행하였다. 본 연구에서 선정한 웨이블릿은 기존 연구에 많이 사용된 바 있는 총 4가지의 모 웨이블릿(Bump, Morlet, Paul, Mexican Hat)이다. 그 결과는 다음과 같다. 먼저, Bump 모 웨이블릿을 적용한 결과는 주기성분의 비정상성을 나타내는데 한계가 있는 것으로 확인되었다. 그 결과는 스펙트럼 분석결과와 매우 유사한 수준인 것으로 나타났다. 이에 반해 Morlet과 Paul 모 웨이블릿은 주기성분의 비정상성을 상대적으로 잘 나타내 주는 것으로 확인되었다. 마지막으로 Mexican Hat 모 웨이블릿의 경우에는 그 결과의 해석이 까다로운 것으로 나타났다. 추가로, Paul 모 웨이블릿의 적용 결과가 시계열에 따라 일관적이지 않게 나타날 수 있음도 확인하였다. 결과적으로 Morlet 모 웨이블릿은 본 연구에서 고려한 모 웨이블릿 중 그 적용상 안정성이 가장 높은 것으로 확인되었으며, 이러한 결과는 최근 웨이블릿 관련 연구에서 Morlet 모 웨이블릿이 가장 많이 사용되는 추세와도 일치하는 것이다.