• Title/Summary/Keyword: signal parameter

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A Comparative analysis of three Signal-to-Noise ratios of dynamic characteristics parameter design (동특성 파라미터 설계의 3종류 SN비 비교 분석)

  • 이상복
    • Journal of Korean Society for Quality Management
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    • v.29 no.4
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    • pp.82-91
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    • 2001
  • Taguchi robust design is widely used to quality improve methods. Especially, interest of dynamic characteristics parameter design is getting grow. In this paper, we have a comparative analyzed three Signal-to-Noise Ratios which are used in American Supplier Institute(ASI), MINITAB and Taguchi series published by Japanese Standard Institute with numerical examples.

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Design of the Optimal Input Singals for Parameter Estimation in the ARMAX Model (ARMAX 모델의 매개변수 추정을 위한 최적 입력 신호의 설계)

  • 이석원;양흥석
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.37 no.3
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    • pp.180-185
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    • 1988
  • This paper considers the problem of the optimal input design for parameter estimtion in the ARMAX model in which the system and noise transfer function have the common denominator polynomial. Deriving the information matrix, in detail, for the assumed model structure and using the autocorrelation functin of the filtered input as design variables, it is shown that D-optimal input signal can be realized as an autoregressive moving average process. Computer simulations are carried out to show the standard-deviation reduction in the parameter estimtes using the optimal input signal.

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Signal Processing Technology for Rotating Machinery Fault Signal Diagnosis (회전기계 결함신호 진단을 위한 신호처리 기술 개발)

  • Choi, Byeong-Keun;Ahn, Byung-Hyun;Kim, Yong-Hwi;Lee, Jong-Myeong;Lee, Jeong-Hoon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.10a
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    • pp.331-337
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    • 2013
  • Acoustic Emission technique is widely applied to develop the early fault detection system, and the problem about a signal processing method for AE signal is mainly focused on. In the signal processing method, envelope analysis is a useful method to evaluate the bearing problems and Wavelet transform is a powerful method to detect faults occurred on rotating machinery. However, exact method for AE signal is not developed yet. Therefore, in this paper two methods which are Hilbert transform and DET for feature extraction. In addition, we evaluate the classification performance with varying the parameter from 2 to 15 for feature selection DET, 0.01 to 1.0 for the RBF kernel function of SVR, and the proposed algorithm achieved 94% classification accuracy with the parameter of the RBF 0.08, 12 feature selection.

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The CMOS RF model parameter for high frequency communication circuit design (고주파통신회로 설계를 위한 CMOS RF 모델 파라미터)

  • 여지환
    • Journal of Korea Society of Industrial Information Systems
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    • v.6 no.3
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    • pp.123-127
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    • 2001
  • The prediction method of the parameter C/sub gs/ of CMOS transistor is proposed by calculating the mobil charge in inversion layer of COMS transistor. This parameter C/sub gs/ decided on the cutoff frequency in MOS transistor in RF range and coupled input and output. This parameter C/sub gs/ in RF range is very important parameter in small signal circuit model. This proposed method is contributed to developing software of extracting parameter value in equivalent circuit model. The method provide the important information to construct a RF nonlinear model for multifinger gate MOSFET. This method will be very valuable to develop a large signal MOSFET model for nonlinear RF IC design.

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A Study on the Reliability Comparison of Median Frequency and Spike Parameter and the Improved Spike Detection Algorithm for the Muscle Fatigue Measurement (근피로도 측정을 위한 중간 주파수와 Spike 파라미터의 신뢰도 비교 및 향상된 Spike 검출 알고리듬에 관한 연구)

  • 이성주;홍기룡;이태우;이상훈;김성환
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.5
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    • pp.380-388
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    • 2004
  • This study proposed an improved spike detection algorithm which automatically detects suitable spike threshold on the amplitude of surface electromyography(SEMG) signal during isometric contraction. The EMG data from the low back muscles was obtained in six channels and the proposed signal processing algorithm is compared with the median frequency and Gabriel's spike parameter. As a result, the reliability of spike parameter was inferior to the median frequency. This fact indicates that a spike parameter is inadequate for analysis of multi-channel EMG signal. Because of uncertainty of fixed spike threshold, the improved spike detection algorithm was proposed. It automatically detects suitable spike threshold depending on the amplitude of the EMG signal, and the proposed algorithm was able to detect optimal threshold based on mCFAR(modified Constant False Alarm Rate) in the every EMG channel. In conclusion, from the reliability points of view, neither median frequency nor existing spike detection algorithm was superior to the proposed method.

Analysis of Signal Interference for 3-D Microsystems (3-D 마이크로시스템을 위한 신호 간섭 분석)

  • 정두연;이종호
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2001.07a
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    • pp.41-44
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    • 2001
  • In this paper, we explain briefly polysilicon guard layer in a simple 3-D structure. Simulation was performed extensively to see interference and characterize the role of the polysilicon guard layer. Especially, we performed extensively S-parameter simulation to analysis the signal interference. The interference was characterized in terms of oxide thickness, polysilicon doping concentration, thickness, number of contact of polysilicon guard, and metal guard size.

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Time-varying physical parameter identification of shear type structures based on discrete wavelet transform

  • Wang, Chao;Ren, Wei-Xin;Wang, Zuo-Cai;Zhu, Hong-Ping
    • Smart Structures and Systems
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    • v.14 no.5
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    • pp.831-845
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    • 2014
  • This paper proposed a discrete wavelet transform based method for time-varying physical parameter identification of shear type structures. The time-varying physical parameters are dispersed and expanded at multi-scale as profile and detail signal using discrete wavelet basis. To reduce the number of unknown quantity, the wavelet coefficients that reflect the detail signal are ignored by setting as zero value. Consequently, the time-varying parameter can be approximately estimated only using the scale coefficients that reflect the profile signal, and the identification task is transformed to an equivalent time-invariant scale coefficient estimation. The time-invariant scale coefficients can be simply estimated using regular least-squares methods, and then the original time-varying physical parameters can be reconstructed by using the identified time-invariant scale coefficients. To reduce the influence of the ill-posed problem of equation resolving caused by noise, the Tikhonov regularization method instead of regular least-squares method is used in the paper to estimate the scale coefficients. A two-story shear type frame structure with time-varying stiffness and damping are simulated to validate the effectiveness and accuracy of the proposed method. It is demonstrated that the identified time-varying stiffness is with a good accuracy, while the identified damping is sensitive to noise.

Analysis of Posture Balance System of using Multi-parameter after Exercising (운동 후 멀티파라미터를 이용한 자세균형의 시스템 분석)

  • Kim, Jeong-Lae
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.5
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    • pp.145-150
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    • 2011
  • This study was developed the posture balance system of multi-parameter for moving body after and before exercising. Body transition meaned a head moving and upper body moving. This system has catched a signal for physical condition of body data such as a data acquisition system, data signal processing and feedback system. There were checked a parameter that measured vision, vestibular, somatosensory, CNS. This system was evaluated a data through the stability. The posture balance system can be used to support assessment for body moving in exercising situation. It was expected to monitor a physical parameter for health management system.

Korean isolated word recognizer using new time alignment method of speech signal (새로운 시간축 정규화 방법을 이용한 한국어 고립단어 인식기)

  • Nam, Myeong-U;Park, Gyu-Hong;No, Seung-Yong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.5
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    • pp.567-575
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    • 2001
  • This paper suggests new method to get fixed size parameter from different length of voice signals. The efficiency of speech recognizer is determined by how to compare the similarity(distance of each pattern) of the parameter from voice signal. But the variation of voice signal and the difference of speech speed make it difficult to extract the fixed size parameter from the voice signal. The method suggested in this paper is to normalize the parameter at fixed size by using the 2 dimension DCT(Discrete Cosine Transform) after representing the parameter by spectrogram. To prove validity of the suggested method, parameter extracted from 32 auditory filter-bank(it estimates auditory nerve firing probabilities) is used for the input of neural network after being processed by 2 dimension DCT. And to compare with conventional methods, we used one of conventional methods which solve time alignment problem. The result shows more efficient performance and faster recognition speed in the speaker dependent and independent isolated word recognition than conventional method.

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Small signal model and parameter extraction of SOI MOSFET's (SOI MOSFET's의 소신호 등가 모델과 변수 추출)

  • Lee, Byung-Jin;Park, Sung-Wook;Ohm, Woo-Yong
    • 전자공학회논문지 IE
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    • v.44 no.2
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    • pp.1-7
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    • 2007
  • The increasing high frequency capabilities of CMOS have resulted in increased RF and analog design in CMOS. Design of RF and analog circuits depends critically on device S-parameter characteristics, magnitude of real and imaginary components and their behavior as a function of frequency. Utilization of scaled high performance CMOS technologies poses challenges as concerns for reliability degradation mechanisms increase. It is important to understand and quantify the effects of the reliability degradation mechanisms on the S-parameters and in turn on small signal model parameters. Various physical effects influencing small-signal parameters, especially the transconductance and capacitances and their degradation dependence, are discussed in detail. The measured S-parameters of H-gate and T-gate devices in a frequency range from 0.5GHz to 40GHz. All intrinsic and extrinsic parameters are extracted from S-parameters measurements at a single bias point in saturation. In this paper we discuss the analysis of the small signal equivalent circuits of RF SOI MOSFET's verificated for the purpose of exacting the change of parameter of small signal equivalent model followed by device flame.