• 제목/요약/키워드: Signal Modification

검색결과 205건 처리시간 0.04초

모음 열을 이용한 발화 검증 (An Utterance Verification using Vowel String)

  • 유일수;노용완;홍광석
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2003년도 하계학술대회 논문집
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    • pp.46-49
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    • 2003
  • The use of confidence measures for word/utterance verification has become art essential component of any speech input application. Confidence measures have applications to a number of problems such as rejection of incorrect hypotheses, speaker adaptation, or adaptive modification of the hypothesis score during search in continuous speech recognition. In this paper, we present a new utterance verification method using vowel string. Using subword HMMs of VCCV unit, we create anti-models which include vowel string in hypothesis words. The experiment results show that the utterance verification rate of the proposed method is about 79.5%.

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Implementation of Noise Reduction Methodology to Modal Distribution Method

  • Choi, Myoung-Keun
    • 한국해양공학회지
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    • 제25권2호
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    • pp.1-6
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    • 2011
  • Vibration-based Structural Health Monitoring (SHM) systems use field measurements of operational signals, which are distorted by noise from many sources. Reducing this noise allows a more accurate assessment of the original "clean" signal and improves analysis results. The implementation of a noise reduction methodology for the Modal Distribution Method (MDM) is reported here. The spectral subtraction method is a popular broadband noise reduction technique used in speech signal processing. Its basic principle is to subtract the magnitude of the noise from the total noisy signal in the frequency domain. The underlying assumption of the method is that noise is additive and uncorrelated with the signal. In speech signal processing, noise can be measured when there is no signal. In the MDM, however, the magnitude of the noise profile can be estimated only from the magnitude of the Power Spectral Density (PSD) at higher frequencies than the frequency range of the true signal associated with structural vibrations under the additional assumption of white noise. The implementation of the spectral subtraction method to MDM may decrease the energy of the individual mode. In this work, a modification of the spectral subtraction method is introduced that enables the conservation of the energies of individual modes. The main difference is that any (negative) bars with a height below zero after subtraction are set to the absolute value of their height. Both noise reduction methods are implemented in the MDM, and an application example is presented that demonstrates its effectiveness when used with a signal corrupted by noise.

CNC 밀링머신 이송장치의 오차유형 및 정상상태 오차해석에 의한 제어기 설계 (Controller Design by Error Shape and Steady-State Error Analysis for a Feed Drive System in CNC Milling Machine)

  • 이건복;길형균
    • 한국정밀공학회지
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    • 제22권3호
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    • pp.52-60
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    • 2005
  • This paper deals with the position control fur a feed drive system in CNC milling machine, which utilizes a modified error signal for the elimination of steady-state error. A linear time-invariant (LTI) system has consistent properties in response to standard test signal inputs. Those also appear in an error curve acquired from the response. From such properties, constructed is an error model for the position control of the feed drive. And then added is the output of the error model to the current error signal. Consequently the resulting proportional control system brings performance improvement in view of the steady-state error. The effectiveness of the proposed scheme is confirmed through simulations and experiments.

신경망과 절삭력신호 특성을 이용한 공구이상상태 감지에 관한 연구 (A Study on Damage Detection of Cutting Tool Using Neural Network and Cutting Force Signal)

  • Lim, K.Y.;Mun, S.D.;Kim, S.I.;Kim, T.Y.
    • 한국정밀공학회지
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    • 제14권12호
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    • pp.48-55
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    • 1997
  • A useful method to detect tool breakage suing neural network of cutting force signal is porposed and implemented in a basic cutting process. Cutting signal is gathered by tool dynamometer and normalized as a preprocessing. The cutting force signal level is continually monitored and compared with the predefined level. The neural network has been trained normalized sample data of the normal operation and cata-strophic tool failure using backpropagation learning process. The develop[ed system is verified to be very effective in real-time usage with minor modification in conventional cutting processes.

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게임 지식 표현 기법을 이용한 심전도 신호의 패턴해석 알고리즘에 관한 연구 (An Algorithm for Pattern Classification of ECG Signals Using Frame Knowledge Representation Technique)

  • 신건수;이병채;정희교;이명호
    • 대한전기학회논문지
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    • 제41권4호
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    • pp.433-441
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    • 1992
  • This paper describes an algorithm that can efficiently analyze the ECG signal using frame knowledge representation technique. Input to the analysis process is a set of significant points which have been extracted from an original sampled signal(lead II) by the syntactic peak recognition algorithm. The hierarchical property of ECG signal is represented by hierarchical AND/OR graph. The semantic information and constraints of the ECG signal are desctibed by frame. As the control mechanism for labeling points, the search mechanism with the mixed paradigms of data-driven and model driven hypothesis formation, scoring function, hypothesis modification network and instance inheritance are used. We used the CSE database in order to evaluate the performance of the proposed algorithm.

AI기법을 이용한 멀티채널 심전도신호의 패턴인식 알고리즘 (An algorithm for pattern recognition of multichannel ECG signals using AI)

  • 신건수;이병채;황선철;이명호
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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    • pp.575-579
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    • 1990
  • This paper describes an algorithm that can efficiently analyze the multichannel ECG signal using the frame. The input is a set of significant features (points) which have been extracted from an original sampled signal by using the split-and-merge algorithm. A signal from each channel can be hierarchical ADN/OR graph on the basis of the priori knowledge for ECG signal. The search mechanisms with some heuristics and the mixed paradigms of data-driven hypothesis formation are used as the major control mechanisms. The mutual relations among features are also considered by evaluating a score based on the relational spectrum. For recognition of morphologies corresponding to OR nodes, an hypothesis modification strategy is used. Other techniques such as instance, priority update of prototypes, and template matching facility are also used. This algorithm exactly recognized the primary points and supporting points from the multichannel ECG signals.

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Weld Quality Assessment Method for Short-Circuit Mode in GMAW

  • Kim, J.M.;Yoo, C.D.
    • International Journal of Korean Welding Society
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    • 제1권2호
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    • pp.1-6
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    • 2001
  • A weld quality assessment method is proposed in this work, which can be applied to the short-circuit mode in GMAW. Information about the welding signal trajectory, distribution of the signal duration at each sub-regions and short-circuit frequency is used to evaluate the weld quality. The weighted penalty, which is determined experimentally, is imposed for each abnormal signal. Performance of the proposed method is compared with the Simpson's method under the conditions of shielding gas reduction, workpiece surface contamination and joint gap in the butt and fillet welds. Although the proposed method predicts the weld quality with reasonable accuracy, further modification and extension to other metal transfer modes are needed as a further study.

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Chemistry and Biology of Ras Farnesyltransferase

  • Cho, Kwang-Nym;Lee, Kee-In
    • Archives of Pharmacal Research
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    • 제25권6호
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    • pp.759-769
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    • 2002
  • Mutated forms of ras are found in many human tumors and the rate of incidence is significantly higher in colon and pancreatic cancers. The protein product from the ras oncogene is a small G-protein, $p21^{ras}{\;}(Ras)$ that is known to playa key role in the signal transduction cascade and cell differentiation and proliferation. Mutated Ras is unable to regulate itself and remains constantly activated, leading to uncontrolled cell growth. The function of Ras in signal transduction requires its location near the growth factor receptor at the cell membrane. However, Ras does not have a transmembrane domain. Ras requires farnesylation to increase its hydrophobicity and subsequent plasma membrane association for its transforming activity. This key post-translational modification is catalyzed by the enzyme Ras farnesyltransferase (FTase), which transfers a farnesyl group from farnesylpyrophosphate to the C-terminal cysteine of the Ras protein. The requirement has focused attention on FTase as a target for therapeutic intervention. Selective inhibition of FTase will prevent Ras protein from association with the plasma membrane, leading to a disruption of oncogenic Ras function.

Characteristics of 14-3-3 Proteins and Their Role in Plant Immunity

  • Oh, Chang-Sik
    • The Plant Pathology Journal
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    • 제26권1호
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    • pp.1-7
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    • 2010
  • Phosphorylation is a major post-translational modification of proteins that regulate diverse signal transduction pathways in eukaryotic cells. 14-3-3 proteins are regulatory proteins that bind to target proteins in a phosphorylation-dependent manner and have been shown to play an important role in plant growth and development, primary metabolism, and signal transduction. Because phosphorylation plays a critical role in signal transduction pathways to trigger plant immunity, involvement of 14-3-3 proteins in plant immunity has been suggested for a long time. Recent studies have provided new evidence to support a role for 14-3-3 proteins in plant immunity. This review will briefly discuss general characteristics of 14-3-3 proteins and their involvement in plant immunity.

적응제어의 강인성개선에 관한 비교연구 (A comparative study on the improvement of the robustness in adaptive control systems)

  • 김국헌;김영철;양흥석
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
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    • pp.352-355
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    • 1986
  • In this paper, some candidates suggested for the improvement of the robustness in adaptive control systems are shortly surveyed. Using dead zone concept of error in adaptation process, gain retardation methods such as .sigma.-modification and parameter restriction method are those considered. Feedforward compensation and normalized adaptation technique are also considered. New modeling technique suggested by Donati et al is used for the indirect control of plants containing unmodeled dynamics. The frequency band of input signal, which is used as a test signal and control signal simultaneously, is directly related to the control of plants containing high frequency parastics. Computer simulation results of the some selected algorithms are shown.

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