• 제목/요약/키워드: time interval signal

검색결과 302건 처리시간 0.026초

Cumulative Sum Control Charts for Simultaneously Monitoring Means and Variances of Multiple Quality Variables

  • Chang, Duk-Joon;Heo, Sunyeong
    • 통합자연과학논문집
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    • 제5권4호
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    • pp.246-252
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    • 2012
  • Multivariate cumulative sum (CUSUM) control charts for simultaneously monitoring both means and variances under multivariate normal process are investigated. Performances of multivariate CUSUM schemes are evaluated for matched fixed sampling interval (FSI) and variable sampling interval (VSI) features in terms of average time to signal (ATS), average number of samples to signal (ANSS). Multivariate Shewhart charts are also considered to compare the properties of multivariate CUSUM charts. Numerical results show that presented CUSUM charts are more efficient than the corresponding Shewhart chart for small or moderate shifts and VSI feature with two sampling intervals is more efficient than FSI feature. When small changes in the production process have occurred, CUSUM chart with small reference values will be recommended in terms of the time to signal.

SAW용 고속 타이머 구현에 대한 연구 (A Study on the Implementation of the High Speed Timer for SAW Device)

  • 김옥수;김영길
    • 한국정보통신학회논문지
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    • 제13권5호
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    • pp.1030-1037
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    • 2009
  • 현재 SAW 센서는 많은 발전을 해왔고 온도나 압력용 SAW 센서를 저전력, 고속 신호 처리로 하기 위해서는 TDS(Time Domain Sampling) 방식을 이용한 리더기 플랫폼이 필요하다. 이러한 리더기를 제작하기 위해서는 SAW 센서의 표준 응답신호와의 변화된 응답시간과의 짧은 시간차를 측정하기 위해 고속의 타이머가 필요하게 된다. 여기서 제안하는 플랫폼은 SAW 센서에 신호를 받아서 비교기로 아날로그 신호를 디지털 신호로 전환하여 그 전환된 신호를 타이머 모듈에서 읽어 들여 신호들의 시간차를 측정하여 표시하여 나노초(Nano Second) 단위의 시간을 측정하는 방법을 제안 하고자 한다.

256-channel 1 ksamples/sec 심자도 신호획득 시스템 (256-channel 1ks/s MCG Signal Acquisition System)

  • 이동하;유재택;허영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.538-540
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    • 2004
  • Electrical currents generated by human heart activities create magnetic fields represented by MCG(MagnetoCardioGram). Since an MCG signal acquisition system requires precise and stable operation, the system adopts hundreds of SQUID(Superconducting QUantum Interface Device) sensors for signal acquisition. Such a system requires fast real-time data acquisition in a required sampling interval, i.e., 1 mili-second for each sensor. This paper presents designed hardware to acquire data from 256-channel analog signal with 1 ksamples/sec speed, using 12-bit 8-channel ADC devices, SPI interfaces, parallel interfaces, 8-bit microprocessors, and a DSP processor. We implemented SPI interface between ADCs and a microprocessor, parallel interfaces between microprocessors. Our result concludes that the data collection can be done in $168{\mu}sec$ time-interval for 256 SQUID sensors, which can be interpreted to 6 ksamples/sec speed.

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Real Time Drowsiness Detection by a WSN based Wearable ECG Measurement System

  • Takalokastari, Tiina;Jung, Sang-Joong;Lee, Duk-Dong;Chung, Wan-Young
    • 센서학회지
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    • 제20권6호
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    • pp.382-387
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    • 2011
  • Whether a person is feeling sleepy or reasonably awake is important safety information in many areas, such as humans operating in traffic or in heavy industry. The changes of body signals have been mostly researched by looking at electroencephalogram(EEG) signals but more and more other medical signals are being examined. In our study, an electrocardiogram(ECG) signal is measured at a sampling rate of 100 Hz and used to try to distinguish the possible differences in signal between the two states: awake and drowsy. Practical tests are conducted using a wireless sensor node connected to a wearable ECG sensor, and an ECG signal is transmitted wirelessly to a base station connected to a server PC. Through the QRS complex in the ECG analysis it is possible to obtain much information that is helpful for diagnosing different types of cardiovascular disease. A program is made with MATLAB for digital signal filtering and graphing as well as recognizing the parts of the QRS complex within the signal. Drowsiness detection is performed by evaluating the R peaks, R-R interval, interval between R and S peaks and the duration of the QRS complex..

Switching properties of CUSUM charts for controlling mean vector

  • Chang, Duk-Joon;Heo, Sun-Yeong
    • Journal of the Korean Data and Information Science Society
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    • 제23권4호
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    • pp.859-866
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    • 2012
  • Some switching properties of multivariate control charts are investigated when the interval between two consecutive sample selections is not fixed but changes according to the result of the previous sample observation. Many articles showed that the performances of variable sampling interval control charts are more efficient than those of fixed sampling interval control charts in terms of average run length (ARL) and average time to signal (ATS). Unfortunately, the ARL and the ATS do not provide any information on how frequent a switch is being made. We evaluate several switching properties of two sampling interval Shewhart and CUSUM procedures for controlling mean vector of correlated quality variables.

케이블 고장 진단을 위한 선형 칼만필터 기반 반사파 계측법 연구 (Fault Diagnosis for Cable Using Reflectometry Based on Linear Kalman Filtering)

  • 이춘구;윤태성;박진배
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.19-21
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    • 2009
  • The reflectometry for locating the fault at a cable is the same as a problem estimating the time delay between the incident and the reflected signals. In this paper, we propose a method for estimating the time delay between the two signals. The proposed method is based on the modeling of the Gaussian enveloped linear chirp signal in the Gaussian noise environment. The phase and the instantaneous frequency of the received signal are estimated by linear Kalman filtering. From the estimated instantaneous frequency, we can measure the time interval between the center frequencies of the incident and the reflected signals. The time interval is the same as the time delay between the incident and the reflected signals. In a simulation assuming that the cable has open fault at the end of the cable, the proposed method showed a good result in estimating the time delay.

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유한 상태 머신 기반 레이더 신호의 펄스 반복 주기 검출 알고리즘 (A Detection Algorithm for Pulse Repetition Interval Sequence of Radar Signals based on Finite State Machine)

  • 박상환;주영관;김관태;전중남
    • 전자공학회논문지
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    • 제53권7호
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    • pp.85-91
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    • 2016
  • 레이더 시스템은 방사 신호의 탐지를 회피하기 위해 펄스 반복주기(PRI, Pulse Repetition Interval)와 PRI 패턴을 변조하고 있으며, 반대로 레이더 신호 탐지 시스템은 다양한 노력을 기울여 PRI와 PRI 패턴을 감지하려고 한다. 일반적으로 레이더 신호의 PRI 패턴을 검출하기 위해 펄스열의 도착시각에 대한 히스토그램 또는 자기 상관관계 기법으로 펄스 변조를 검출하고 있다. 본 논문에서는 유한 상태 머신 개념을 도입하여 펄스 반복주기를 검출하는 알고리즘을 제안한다. 이 알고리즘은 PRI 순서와 PRI 패턴을 찾을 수 있는 특징이 있다.

Properties of VSI CUSUM Chart for Monitoring Dispersion Matrix

  • Chang, Duk-Joon;Shin, Jae-Kyoung
    • Journal of the Korean Data and Information Science Society
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    • 제15권4호
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    • pp.1003-1010
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    • 2004
  • Properties of the variable sampling interval(VSI) CUSUM chart for monitoring dispersion matrix of related quality characteristics are investigated. Performances of the proposed charts are evaluated for matched fixed sampling interval(FSI) and VSI charts in terms of average time to signal(ATS) and average number of samples to signal (ANSS). Average number of swiches(ANSW) of the proposed VSI Shewhart and CUSUM charts are also investigated.

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Properties of VSI Charts for Monitoring Dispersion Matrix

  • 장덕준;권용만
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2004년도 춘계학술대회
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    • pp.151-159
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    • 2004
  • Properties of the variable sampling interval(VSI) control charts for monitoring dispersion matrix of related quality characteristics are investigated. Performances of the proposed charts are evaluated for matched fixed sampling interval(FSI) and VSI charts in terms of average time to signal(ATS) and average number of samples to signal (ANSS). Average number of swiches(ANSW) of the proposed VSI charts are also investigated.

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심자도 신호 획득을 위한 고속 병렬 데이터 전송 구현 (Implementation of high-speed parallel data transfer for MCG signal acquisition)

  • 이동하;유재택
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2004년도 추계학술대회 논문집 Vol.17
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    • pp.444-447
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    • 2004
  • A heart diagnosis system adopts hundreds of Superconducting Quantum Interface Device(SQUID) sensors for precision MCG(Magnetocardiogram) or MEG(Magnetoencephalogram) signal acquisitions. This system requires correct and real-time data acquisition from the sensors in a required sampling interval, i.e., 1 mili-second. This paper presents our hardware design and test results, to acquire data from 256 channel analog signal with 1-ksample/sec speed, using 12-bit 8-channel ADC devices, SPI interfaces, parallel interfaces, and 8-bit microprocessors. We chose to implement parallel data transfer between microprocessors as an effective way of achieving such data collection. Our result concludes that the data collection can be done in 250 ${\mu}sec$ time-interval.

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