• 제목/요약/키워드: Multiple measurement vectors

검색결과 17건 처리시간 0.022초

고분해능 Cinematic PIV 시스템의 개발과 비정상 복잡 난류유동측정에의 응용 (Development of a High Resolution Cinematic Particle Image Velocimetry and Its Application to measurement of Unsteady Complex Turbulent Flows)

  • 김경천;박경현
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집E
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    • pp.536-541
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    • 2001
  • A high resolution digital cinematic Particle Image Velocimetry(PIV) has been developed. The system consists of a high speed CCD camera, a continuous Ar-ion laser and a computer with camera controller. To improve the spatial resolution, we adopt a Recursive Technique for velocity interrogation. At first, we obtain a velocity vector for a larger interrogation window size based on the conventional two-frame cross-correlation PIV analysis using the FFT algorithm. Based on the knowing velocity information, more spatially resolved velocity vectors are obtained in the next iteration step with smaller interrogation windows. The correct velocity vector at the first step is found to be critical, so we apply a Multiple Correlation Validation(MCV) technique in order to decrease the spurious vectors. The MCV technique turns out to improve SNR(Signal to Noise Ratio) of the correlation table. The developed cinematic PIV method has been applied to the measurement of the unsteady flow characteristics of a Rushton turbine mixer. A total of 3,245 instantaneous velocity vectors were successfully obtained with 4 ms time resolution. The acquired spatial resolution corresponds the performance of the conventional high resolution digital PIV system using a $1K{\times}1K$ CCD camera.

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병렬OMP 기법을 통한 복수 측정 벡터기반 성긴 신호의 복원 (Sparse Signal Recovery with Parallel Orthogonal Matching Pursuit for Multiple Measurement Vectors)

  • 박정홍;반태원;정방철
    • 한국정보통신학회논문지
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    • 제17권10호
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    • pp.2252-2258
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    • 2013
  • 본 논문에서는 복수측정벡터 환경에서 성긴 신호의 복원을 위하여 널리 사용되고 있는 Simultaneous orthogonal matching pursuit (S-OMP) 기술을 보완한 병렬 OMP 기법을 제안하고 그 성능을 분석한다. Parallel orthogonal matching pursuit(POMP) 알고리즘은 간단하지만 성능면에서 매우 효과적이다. 제안된 병렬 OMP알고리즘은 첫 번째 반복 과정에서 관찰 행렬과 상관도가 높은 인덱스 집합을 여러 개 (M) 선택한다. 그 후, 선택된 각각의 인덱스를 첫 번째 인덱스로 하는 각 병렬 OMP블록에서 S-OMP 알고리즘 기법이 병렬적으로 동작한다. 마지막으로 입력된 신호 복원을 위해 잔차가 가장 작은 POMP블록의 인덱스 집합을 선택한다. 컴퓨터 시뮬레이션을 통해 100%복원 가능한 sparsity 개수가 기존의 S-OMP 기법에 비해 M이 증가함에 따라 향상되는 것을 확인했으며, 평균 제곱 오차 측면에서도 SNR에 상관없이 성능 개선효과가 있음을 확인하였다.

고해상도 Cinematic PIV의 개발 (Development of a High Resolution Digital Cinematic Particle Image Velocimetry)

  • 박경현;김경천
    • 대한기계학회논문집B
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    • 제25권11호
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    • pp.1535-1542
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    • 2001
  • A high resolution digital cinematic Particle Image Velocimetry(PIV) has been developed. The system consists of a high speed CCD camera, a continuous Ar-ion laser and a computer with camera controller. To improve the spatial resolution, we adopt a Recursive Technique for velocity interrogation. At first, we obtain a velocity vector fur a larger interrogation window size based on the conventional two-frame cross-correlation PIV analysis using the FFT algorithm. Based on the knowing velocity information, more spatially resolved velocity vectors are obtained in the next iteration step with smaller interrogation windows. When the correct velocity vector at the first step is found to be critical, a Multiple Correlation Validation(MCV) technique is applied to decrease the spurious vectors. The MCV technique turns out to improve SNR(Signal to Noise Ratio) of the correlation table. The developed cinematic PIV method has been applied to the measurement of the unsteady flow characteristics of a Rushton turbine mixer. A total of 3,245 instantaneous velocity vectors were successfully obtained with 4 ms time resolution. The acquired spatial resolution corresponds to the conventional high resolution digital PIV system using a 1K ${\times}$ 1K CCD camera.

Relative performance of group CUSUM charts

  • Choi, Sungwoon;Lee, Sanghoon
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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    • pp.11-14
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    • 1996
  • Performance of the group cumulative sum(CUSUM) control scheme using multiple univariate CUSUM charts is more sensitive to the change of quality control(QC) characteristics than the control chart scheme based on the Hotelling statistics. We examine three group charts for multivariate normal data sets simulated with various correlation structures and shift directions in the mean vector. These group schemes apply the orginal measurement vectors, the scaled residual vectors from the regression of each variable on all others and the principal component vectors respectively to calculating the CUSUM statistics. They are also compared to the multivariate QC charts based on the Hotelling statistic by estimating average run lengths, coefficients of variation of run length and ranks in signaling order. On the basis of simulation results, we suggest a control chart scheme appropriate for specific quality control environment.

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RELATIVE PERFORMANCE COMPARISON OF GROUP CUSUM CHARTS

  • Choi, Sung-Woon;Lee, Sang-Hoon
    • Management Science and Financial Engineering
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    • 제5권1호
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    • pp.51-71
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    • 1999
  • Performance of the group cumulative sum (CUSUM) control scheme using multiple univariate CUSUM charts is more sensitive to the change of quality control (QC) characteristics than the control chart schemes based on the Hotelling statistic We vexamine three group charts for multivariate normal data sets simulated with various correlation structures and shift directions in the mean vector. These group schemes apply the original measurement vectors, the scaled residual vectors from the re-gression of each variable on all others and the principal component vectors respectively to calculat-ing the CUSUM statistics. They are also compared to the multivariate QC charts based on the Ho-telling statistic by estimating average run lengths, coefficients of variation of run length and ranks in signaling order. On the basis of simulation results, we suggest a control chart scheme appropriate for specific quality control environment.

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에코 PIV를 이용한 맥동 유동에서의 in vitro 전단률 측정 연구 (Non-Invasive Measurement of Shear Rates of Pulsating Pipe Flow Using Echo PIV)

  • 김형범;정인영
    • 대한기계학회논문집B
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    • 제28권12호
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    • pp.1567-1572
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    • 2004
  • Although accurate measurement of velocity profiles, multiple velocity vectors, and shear stress in arteries is important, there is still no easy method to obtain such information in vivo. This study shows the utility of combining ultrasound contrast imaging with particle image velocimetry (PIV) for non-invasive measurement of velocity vectors. The steady flow analytical solution and optical PIV measurements (for pulsatile flow) were used for comparison. When compared to the analytical solution, both echo PIV and optical PIV resolved the steady velocity profile well. Error in shear rate as measured by echo PIV (8%) was comparable to the error of optical PIV (6.5%). In pulsatile flow, echo PIV velocity profiles agreed well with optical PIV profiles. Echo PIV followed the general profile of pulsatile shear stress across the artery but underestimated wall shear at certain time points. These studies indicate that echo PIV is a promising technique for the non-invasive measurement of velocity profiles and shear stress.

지능형 IIR 필터 기반 다중 채널 ANC 시스템 (Intelligent IIR Filter based Multiple-Channel ANC Systems)

  • 조현철;여대연;이영진;이권순
    • 제어로봇시스템학회논문지
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    • 제16권12호
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    • pp.1220-1225
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    • 2010
  • This paper proposes a novel active noise control (ANC) approach that uses an IIR filter and neural network techniques to effectively reduce interior noise. We construct a multiple-channel IIR filter module which is a linearly augmented framework with a generic IIR model to generate a primary control signal. A three-layer perceptron neural network is employed for establishing a secondary-path model to represent air channels among noise fields. Since the IIR module and neural network are connected in series, the output of an IIR filter is transferred forward to the neural model to generate a final ANC signal. A gradient descent optimization based learning algorithm is analytically derived for the optimal selection of the ANC parameter vectors. Moreover, re-estimation of partial parameter vectors in the ANC system is proposed for online learning. Lastly, we present the results of a numerical study to test our ANC methodology with realistic interior noise measurement obtained from Korean railway trains.

Probabilistic condition assessment of structures by multiple FE model identification considering measured data uncertainty

  • Kim, Hyun-Joong;Koh, Hyun-Moo
    • Smart Structures and Systems
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    • 제15권3호
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    • pp.751-767
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    • 2015
  • A new procedure is proposed for assessing probabilistic condition of structures considering effect of measured data uncertainty. In this procedure, multiple Finite Element (FE) models are identified by using weighting vectors that represent the uncertainty conditions of measured data. The distribution of structural parameters is analysed using a Principal Component Analysis (PCA) in relation to uncertainty conditions, and the identified models are classified into groups according to their similarity by using a K-means method. The condition of a structure is then assessed probabilistically using FE models in the classified groups, each of which represents specific uncertainty condition of measured data. Yeondae bridge, a steel-box girder expressway bridge in Korea, is used as an illustrative example. Probabilistic condition of the bridge is evaluated by the distribution of load rating factors obtained using multiple FE models. The numerical example shows that the proposed method can quantify uncertainty of measured data and subsequently evaluate efficiently the probabilistic condition of bridges.

Bio-vector Generation Framework for Smart Healthcare

  • Shin, Yoon-Hwan
    • 한국컴퓨터정보학회논문지
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    • 제21권1호
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    • pp.107-113
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    • 2016
  • In this paper, by managing the biometric data is changed with the passage of time, a systematic and scientifically propose a framework to increase the bio-vector generation efficiency of the smart health care. Increasing the development of human life as a medicine and has emerged smart health care according to this. Organic and efficient health management becomes possible to generate a vector when the biological domain to the wireless communication infrastructure based on the measurement of the health status and to take action in accordance with the change of the physical condition. In this paper, we propose a framework to create a bio-vector that contains information about the current state of health of the person. In the proposed framework, Bio vectors may be generated by collecting the biometric data such as blood pressure, pulse, body weight. Biometric data is the raw data from the bio-vector. The scope of the primary data can be set to active. As the collecting biometric data from multiple items of the bio-recognition vectors may increase. The resulting bio-vector is used as a measure to determine the current health of the person. Bio-vector generating the proposed framework, it can aid in the efficiency and systemic health of healthcare for the individual.

Ultrasonic Measurement of Tissue Motion for the Diagnosis of Disease

  • Beach Kirk W.
    • International Journal of Vascular Biomedical Engineering
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    • 제1권1호
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    • pp.3-12
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    • 2003
  • Ultrasonic pulsed Doppler velocimetry has become a standard international method of classifying carotid disease. Because the measured angle adjusted velocity increases as the Doppler angle increases, examinations should be performed at a convenient standard Doppler examination angle. An angle of 60 degrees is achievable throughout most examinations. Multiple Doppler viewing angles allow the acquisition of velocity vectors during the cardiac cycle, revealing the complex velocity patterns. Ultrasonic velocimetry (whether Doppler or time domain) is based on changes in the phase of the ultrasound echo. Other examinations can be done based on the echo phase. Slow motions of organs such as the brain can be used to monitor changes in edema. Measurements of tissue strain due to the pulsatile filling of the arterioles. This plethysmographic imaging method can display differences in tissue perfusion because of different tissue types and changes in autonomic activity.

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