AN APPLICATION OF THE INDEPENDENT COMPONENT ANALYSIS TO MONITOR ACOUSTIC EMISSION SIGNALS GENERATED BY TERMITE ACTIVITY IN WOOD

Juan José González de la Rosa, Isidro Lloret Galiana, Juan Manuel Górriz Sáez, Carlos García Puntonet

2004

Abstract

In this paper an extended robust independent components analysis algorithm based on cumulants is applied to identify vibrational alarm signals generated by soldier termites in southern Spain (reticulitermes grassei), measured using low cost equipment. A seismic accelerometer is employed to strongly characterize these acoustic emissions. To support the proposed technique, vibrational signals from a low cost microphone have been mixed with known signals, and the mixtures processed by ICA. The experimental results confirm the validity of the proposed method, which has been taken as the basis for the development of a low cost, noninvasive, termite detection system.

References

  1. Cardoso, J. (1988). Blind signal separation: statistical principles. Proceedings of the IEEE, 9(10):2009-2025.
  2. Connétable, S., Robert, A., Bouffault, F., and Bordereau, C. (1999). Vibratory alarm signals in two sympatric higher termite species: Pseudacantotermes spiniger and p. militaris (termitidae, macrotermitinae). Journal of Insect Behaviour, 12(3):90-101.
  3. Cruces, S. (1999). A Uni ed View of Blind Source Separation Algorithms. PhD thesis, University of Vigo, Signal Processing Department, Spain.
  4. Cruces, S., Castedo, L., and Cichocki, A. (2002). Robust blind source separation algorithms using cumulants. Neurocomputing, 49:87-118.
  5. Ham, F. and Faour, N. (2002). Infrasound Signal Separation using Independent Component Analysis. Sponsored by the Boeing Company, Contract No. 7M210007.
  6. Hinich, M. (1990). Detecting a transient signal by biespectral analysis. IEEE Trans. Acoustics, 38(9):1277- 1283.
  7. HyvaÄrinen, A. and Oja, E. (1999). Independent Components Analysis: A Tutorial. Helsinki University of Technology, Laboratory of Computer and Information Science.
  8. Lee, T., Girolami, M., and Bell, A. (2000). A unifying information-theoretic framework for independent component analysis. Computers and Mathematics with Applications, 39:1-21.
  9. Li, W., Gu, F., Ball, A., Leung, A., and Phipps, C. (2001). A study of the noise from diesel engines using the independent component analysis. Mechanical Systems and Signal Processing, 15(6):1165-1184.
  10. Mankin, R. and Fisher, J. (2002). Current and potential uses of acoustic systems for detection of soil insects infestations. In Proceedings of the Fourth Symposium on Agroacoustic, pages 152-158.
  11. Mankin, R., Osbrink, W., Oi, F., and Anderson, J. (2002). Acoustic detection of termite infestations in urban trees. Journal of Economic Entomology, 95(5):981- 988.
  12. Mansour, A., Barros, A., and Onishi, N. (1998). Comparison among three estimators for higher-order statistics. In The Fifth International Conference on Neural Information Processing, Kitakyushu, Japan.
  13. Mendel, J. (1991). Tutorial on higher-order statistics (spectra) in signal processing and system theory: Theoretical results and some applications. Proceedings of the IEEE, 79(3):278-305.
  14. Nykias, C. and Mendel, J. (1993). Signal processing with higher-order spectra. IEEE Signal Processing Magazine, pages 10-37.
  15. Prieto, B. (1999). New Algorithms of Blind Source Separation Using Geometric Methods. PhD thesis, University of Granada, Department of Architecture and Technology of Computers, Spain.
  16. Puntonet, C. (1994). New Algorithms of Source Separation in Linear Media. PhD thesis, University of Granada, Department of Architecture and Technology of Computers, Spain.
  17. RoÄhrig, A., Kirchner, W., and Leuthold, R. (1999). Vibrational alarm communication in the african fungusgrowing termite genus macrotermes (isoptera, termitidae). Insectes Sociaux, 46:71-77.
  18. Reinhard, J. and Clément, J.-L. (2002). Reaction of european reticulitermes termites to soldier head capsule volatiles (isoptera, rhinotermitidae). Journal of Insect Behaviour, 15(1):95-107.
  19. Robbins, W., Mueller, R., Schaal, T., and Ebeling, T. (1991). Characteristics of acoustic emission signals generated by termite activity in wood. In Proceedings of the IEEE Ultrasonic Symposium, pages 1047-1051.
  20. Swami, A., Mendel, J., and Nikias, C. (2001). HigherOrder Spectral Analysis Toolbox User's Guide.
  21. Zhu, J., Cao, X.-R., and Ding, Z. (1999). An algebraic principle for blind source separation of white nongaussian sources. Signal Processing, 79:105-115.
Download


Paper Citation


in Harvard Style

González de la Rosa J., Lloret Galiana I., Górriz Sáez J. and Puntonet C. (2004). AN APPLICATION OF THE INDEPENDENT COMPONENT ANALYSIS TO MONITOR ACOUSTIC EMISSION SIGNALS GENERATED BY TERMITE ACTIVITY IN WOOD . In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-12-0, pages 11-18. DOI: 10.5220/0001124900110018


in Bibtex Style

@conference{icinco04,
author={Juan José González de la Rosa and Isidro Lloret Galiana and Juan Manuel Górriz Sáez and Carlos García Puntonet},
title={AN APPLICATION OF THE INDEPENDENT COMPONENT ANALYSIS TO MONITOR ACOUSTIC EMISSION SIGNALS GENERATED BY TERMITE ACTIVITY IN WOOD},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2004},
pages={11-18},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001124900110018},
isbn={972-8865-12-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - AN APPLICATION OF THE INDEPENDENT COMPONENT ANALYSIS TO MONITOR ACOUSTIC EMISSION SIGNALS GENERATED BY TERMITE ACTIVITY IN WOOD
SN - 972-8865-12-0
AU - González de la Rosa J.
AU - Lloret Galiana I.
AU - Górriz Sáez J.
AU - Puntonet C.
PY - 2004
SP - 11
EP - 18
DO - 10.5220/0001124900110018