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      Location Template Matching(LTM) 방법을 적용함에 있어서 진동 모드 수의 영향

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      https://www.riss.kr/link?id=A101913915

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      다국어 초록 (Multilingual Abstract)

      The location template matching (LTM) method is a technique of identifying an impact location on a structure, and is often applied to structural health monitoring and large scale human-computer interface (HCI) systems. The LTM method utilizes a certain measure of similarity between two time signals. The correlation coefficient is most widely used for this purpose, and the group delay based method is recently proposed to improve the accuracy of finding the best matching pair of signals. In practice, one of key essential consideration for implementing the LTM method is to guarantee that a sufficient number of vibration modes must be contained in the measured signal, and yet the lower sampling rate is needed for a real-time implementation. In this paper, the properties of correlation coefficient and group delay with respect to the number of vibration modes are investigated. A few important results are obtained through extensive computer simulations and experiments. If the number of vibration modes contained in the measured signal is more than four it is sufficient for the correlation based LTM method, while the group delay based LTM method requires smaller number of vibration modes.
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      The location template matching (LTM) method is a technique of identifying an impact location on a structure, and is often applied to structural health monitoring and large scale human-computer interface (HCI) systems. The LTM method utilizes a certain...

      The location template matching (LTM) method is a technique of identifying an impact location on a structure, and is often applied to structural health monitoring and large scale human-computer interface (HCI) systems. The LTM method utilizes a certain measure of similarity between two time signals. The correlation coefficient is most widely used for this purpose, and the group delay based method is recently proposed to improve the accuracy of finding the best matching pair of signals. In practice, one of key essential consideration for implementing the LTM method is to guarantee that a sufficient number of vibration modes must be contained in the measured signal, and yet the lower sampling rate is needed for a real-time implementation. In this paper, the properties of correlation coefficient and group delay with respect to the number of vibration modes are investigated. A few important results are obtained through extensive computer simulations and experiments. If the number of vibration modes contained in the measured signal is more than four it is sufficient for the correlation based LTM method, while the group delay based LTM method requires smaller number of vibration modes.

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      참고문헌 (Reference)

      1 Pham, D. T., "Tangible Acoustic Interface Approaches" 497-502, 2005

      2 Sulaiman, A., "Source Localization in the Presence of Dispersion for Next Generation Touch Interface" 82-86, 2010

      3 Fahy, F., "Sound and Structural Vibration: Radiation, Transmission and Response" Academic Press 2007

      4 Paradiso, J. A., "Sensor Systems for Interactive Surfaces" 39 (39): 892-914, 2000

      5 Yang, H., "On the Practical Consideration of Source Localization Using the Location Template Matching (LTM) with Multiple Sensors" 157-158 : 441-446, 2012

      6 신기홍, "Location Template Matching(LTM) 방법에 사용되는 유사성 척도들의 비교 연구" 한국소음진동공학회 24 (24): 310-316, 2014

      7 Yap, X., "Localization of Acoustic Source on Solids: A Linear Predictive Coding based Algorithm for Location Template Matching" 2490-2493, 2010

      8 Ing, R. K., "In Solid Localization of Finger Impacts Using Acoustic Time-reversal Process" 87 (87): 204104-, 2005

      9 Shin, K., "Group Delay Based Location Template Matching Method for the Identification of the Impact Location on a Plate" 332 (332): 2111-2117, 2013

      10 Shin, K., "Fundamentals of Signal Processing for Sound and Vibration Engineers" Wiley 2008

      1 Pham, D. T., "Tangible Acoustic Interface Approaches" 497-502, 2005

      2 Sulaiman, A., "Source Localization in the Presence of Dispersion for Next Generation Touch Interface" 82-86, 2010

      3 Fahy, F., "Sound and Structural Vibration: Radiation, Transmission and Response" Academic Press 2007

      4 Paradiso, J. A., "Sensor Systems for Interactive Surfaces" 39 (39): 892-914, 2000

      5 Yang, H., "On the Practical Consideration of Source Localization Using the Location Template Matching (LTM) with Multiple Sensors" 157-158 : 441-446, 2012

      6 신기홍, "Location Template Matching(LTM) 방법에 사용되는 유사성 척도들의 비교 연구" 한국소음진동공학회 24 (24): 310-316, 2014

      7 Yap, X., "Localization of Acoustic Source on Solids: A Linear Predictive Coding based Algorithm for Location Template Matching" 2490-2493, 2010

      8 Ing, R. K., "In Solid Localization of Finger Impacts Using Acoustic Time-reversal Process" 87 (87): 204104-, 2005

      9 Shin, K., "Group Delay Based Location Template Matching Method for the Identification of the Impact Location on a Plate" 332 (332): 2111-2117, 2013

      10 Shin, K., "Fundamentals of Signal Processing for Sound and Vibration Engineers" Wiley 2008

      11 Arun, K. R., "A Touch Interface Exploiting Time-Frequency Classification Using Zak Transform for Source Localization on Solids" 13 (13): 487-497, 2011

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-02-05 학회명변경 영문명 : Korean Society For Noise And Vibration Engeering (Ksnve) -> Korean Society for Noise and Vibration Engineering(KSNVE) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.28 0.28 0.26
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.25 0.23 0.457 0.05
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