• Title/Summary/Keyword: RMS signal

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Development of sound level meter provided with ultra-low SPL measuring function -Creation and evaluation of super-silent spaces-

  • Kawakami, Fukushi;Terazono, Shinichi;Lee, Ho-Gi
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2010.05a
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    • pp.760-761
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    • 2010
  • As is widely known, SPL measurement using sound level meter (SLM) is limited to higher than 30 dBA, because of the self-noise n(x) of condenser microphone (CM). The authors confirmed n(x) is composed of 3 kinds, each of which is stable enough under the condition -20 ~ +50 deg C to eliminate the influence of n(x) by subtracting its energy from the squared input signal in the integration process, as well as to develop new type of SLM with ultra-low SPL measuring function. This is so-called "0-dB SLM" since it enables to measure SPL down to around 0 dB-SPL. The RMS of n(x) is acquired and stored in ROM in advance, by placing CM in the supersilent space or by using dummy microphone with equivalent capacitance before the actual measurements.

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Development of articulatory estimation model using deep neural network (심층신경망을 이용한 조음 예측 모형 개발)

  • You, Heejo;Yang, Hyungwon;Kang, Jaekoo;Cho, Youngsun;Hwang, Sung Hah;Hong, Yeonjung;Cho, Yejin;Kim, Seohyun;Nam, Hosung
    • Phonetics and Speech Sciences
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    • v.8 no.3
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    • pp.31-38
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    • 2016
  • Speech inversion (acoustic-to-articulatory mapping) is not a trivial problem, despite the importance, due to the highly non-linear and non-unique nature. This study aimed to investigate the performance of Deep Neural Network (DNN) compared to that of traditional Artificial Neural Network (ANN) to address the problem. The Wisconsin X-ray Microbeam Database was employed and the acoustic signal and articulatory pellet information were the input and output in the models. Results showed that the performance of ANN deteriorated as the number of hidden layers increased. In contrast, DNN showed lower and more stable RMS even up to 10 deep hidden layers, suggesting that DNN is capable of learning acoustic-articulatory inversion mapping more efficiently than ANN.

Prediction of Tensile Strength for Friction-Welded Magnesium Alloy Part by Acoustic Emission (AE를 이용한 마그네슘 합금 마찰용접부의 인장강도 예측)

  • Shin, Chang-Min;Kang, Dae-Min;Choi, Jong-Whan;Kwak, Jae-Seob
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.2
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    • pp.34-39
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    • 2012
  • In this study, the friction welding experiment was performed by using the design of experiment. And the signal data acquired by acoustic emission sensor were analyzed to predict the tensile strength of friction welding part at friction welding process for AZ31 magnesium alloy. A dimensionless coefficient($\phi_{AE}$), which consisted in the square of AE rms and variance, was defined as the characteristic of friction welding and the prediction equation was obtained by using linear regression. As the result of analysis, it was seen that the correlation between predicted and measured values became very close and on-line prediction of the ensile strength was possible in friction welding part.

High Power Factor High Efficiency PFC AC/DC Converter for LCD Monitor Adapter (LCD 모니터의 어댑터를 위한 고역률 고효율 PFC AC/DC 컨버터)

  • Park K. H.;Kim C. E.;Youn M. J.;Moon G. W.
    • Proceedings of the KIPE Conference
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    • 2003.11a
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    • pp.85-89
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    • 2003
  • Many single-stage PFC(power-facto.-correction) ACHC converters suffer from the high link voltage at high input voltage and light load condition. In this paper, to suppress the link voltage, a novel high power factor high efficiency PFC AC/DC converter is proposed using the single controller which generates two gate signals so that one of them is used far gate signal of the flyback DC/DC converter switch and the other is applied to the Boost PFC stage. A 130w prototype for LCD monitor adapter with universal input $(90-265V_{rms})$ and 19.5V 6.7A output is implemented to verify the operational principles and performances. The experimental results show that the maximum link voltage stress is about 450V at 270Vac input voltage. Moreover, efficiency and power factor are over $84\%$ and 0.95, respectively, under the full load condition.

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Age-related difference of the 15 Characteristics Variables in Surface EMG Signals Generated Under Constant Load Contraction (일정 부하 수축 시 수집한 표면근전도 신호에서 검출한 15개 특성 변수들의 노화에 따른 차이)

  • Lee, Jin;Yoo, In-Gyu;Kim, Se-Dong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.9
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    • pp.1674-1680
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    • 2008
  • The objective of this study is to compare age-related differences of 15 characteristic variables estimated from SEMG signals, which were obtained from the old group(62 subjects) and young group(72 subjects). The SEMG signals were recorded from biceps brachii muscle under sustained isometric elbow flexion contraction with constant load(4kg dumbbell) during 30 seconds. Ten time domain (ARV, RMS, MSA, MTA, ZC, MSF, MTF, MSD, MTD, MSS) and five frequency domain(MNF, MDF, $f_{max}$, $P_{max}$, $P_{to}$) variables were extracted from the SEMG signals and then statistically analyzed, respectively. The findings of the analysis indicate significant age-related differences in the SEMG signal during constant load contraction.

Control of an above-knee prosthesis using MR damper (MR 감쇠기를 이용한 무릎 관절 의족의 제어)

  • 김정훈;오준호
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.244-244
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    • 2000
  • We proposed the above-knee prosthesis using rotary MR damper in which knee joint is semi-actively controlled by microprocessor. Dissipation torque in the knee joint can be controlled by the magnetic field which is induced by applying current to a solenoid, Tracking control of knee joint angle was tested by 3-DOF Leg simulator. The experimental results show that the proposed above-knee prosthesis system had good performance in swing phase tracking and repetitive controller in conjunction with a computed control law and PD control law, reduced RMS tracking error as the repetitions of tracking. Moreover, desired knee angle trajectory was generated based on the estimation of gait period with the gyro signal and the tracking control was performed.

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Classification of Multi-Unit Neural Action Potential by Template Learning (학습 가능한 실시간 다단위 신경 신호의 분류에 관한 연구)

  • Kim, S.D.;Kim, K.H.;Kim, S.J.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.99-102
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    • 1997
  • A neural spike sorting technique has been developed that also has the capability of template learning. A system of software has been written that first obtains the templates by learning, and then performs the sorting of the spikes into single units. The spike sorting can be done in real time. The template learning consists of spike detection based on the discrete Haar transform (DHT), feature extraction by clustering of spike amplitude and duration, classification based on rms error, and fabrication of templates. The developed algorithms can be implemented into real time systems using digital signal processors.

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A Controller Design for Semi-active Suspension System Using Wavelet Treasform and Evolution Strategy (웨이브릿 변환과 진화전략에 의한 반능동 현가장치의 제어기 설계)

  • Kim, Dae-Jun;Kim, Han-Soo;Jeon, Hyang-Sig;Choi, Young-Kiu;Kim, Sung-Shin
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.3
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    • pp.120-129
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    • 2001
  • A two-degree-of-freedom quarter-car model is used as the basis for LQ and the proposed controller design for a semi-active suspension. The LQ controller results in the best rms performance trade-offs(as defined by performance index) between ride, handling and packaging requirements. In LQ controller, however, the conflict between road holding and ride comfort remains. The adaptive semi-active suspension control based on the road frequency are introduced in this paper. With this method, the trade-off between road holding and ride comfort can be relaxed. The road frequency is estimated by wavelet transform if rattle space signal. The simulation results show that the proposed controller is superior to the conventional LQ controller.

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Motion and Force Estimation System of Human Fingers (손가락 동작과 힘 추정 시스템)

  • Lee, Dong-Chul;Choi, Young-Jin
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.10
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    • pp.1014-1020
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    • 2011
  • This presents a motion and force estimation system of human fingers by using an Electromyography (EMG) sensor module and a data glove system to be proposed in this paper. Both EMG sensor module and data glove system are developed in such a way to minimize the number of hardware filters in acquiring the signals as well as to reduce their sizes for the wearable. Since the onset of EMG precedes the onset of actual finger movement by dozens to hundreds milliseconds, we show that it is possible to predict the pattern of finger movement before actual movement by using the suggested system. Also, we are to suggest how to estimate the grasping force of hand based on the relationship between RMS taken EMG signal and the applied load. Finally we show the effectiveness of the suggested estimation system through several experiments.

A 10-Gb/s Multiphase Clock and Data Recovery Circuit with a Rotational Bang-Bang Phase Detector

  • Kwon, Dae-Hyun;Rhim, Jinsoo;Choi, Woo-Young
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.3
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    • pp.287-292
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    • 2016
  • A multiphase clock and data recovery (CDR) circuit having a novel rotational bang-bang phase detector (RBBPD) is demonstrated. The proposed 1/4-rate RBBPD decides the locking point using a single clock phase among sequentially rotating 4 clock phases. With this, our RBBPD has significantly reduced power consumption and chip area. A prototype 10-Gb/s 1/4-rate CDR with RBBPD is successfully realized in 65-nm CMOS technology. The CDR consumes 5.5 mW from 1-V supply and the clock signal recovered from $2^{31}-1$ PRBS input data has 0.011-UI rms jitter.