AN INVERSE SENSOR MODEL FOR EARTHQUAKE DETECTION USING MOBILE DEVICES

Thomas Collins, John P. T. Moore

2010

Abstract

We describe a sensory framework to be used for the purposes of earthquake detection using minimal cost, accelerometer equipped, hardware units. Combining techniques from mobile robotics this model is intended to address the current issue in the field whereby high fidelity hardware units tuned to detect specific characteristics such as wave features and/or high fidelity event models derived from data analysis are required for such detection. In this paper we present and contextualise the architecture under construction in addition to outlining the salient elements of the problem we are addressing.

References

  1. Collins, T., Collins, J., and Ryan, C. (2007). Occupancy grid mapping: An empirical evaluation. In ProceedEhlers, F., Gustafsson, F., and Spaan, M. Signal processing advances in robots and autonomy. EURASIP J. Adv. Signal Process, 2009.
  2. Hewitt, C. (1992). Open information systems semantics for distributed artificial intelligence. Foundations of artificial intelligence Special Issue of 'Artificial Intelligence' Series, pages 79-106.
  3. Kortenkamp, D., Bonasso, R., and Murphy, R. (1998). AIbased Mobile Robots: Case studies of successful robot systems.
  4. Moore, J. P. T. (2007). Thumbtribes: Low bandwidth, location-aware communication. In Obaidat, M. S., Lecha, V. P., and Caldeirinha, R. F. S., editors, WINSYS, pages 197-202. INSTICC Press.
  5. Murooka, T., Takahara, A., and Miyazaki, T. (2001). A novel network node architecture for high performance and function flexibility. In ASP-DAC, pages 551-557.
  6. Ravi, N., Dandekar, N., Mysore, P., and Littman, M. L. (2005). Activity recognition from accelerometer data. In IAAI'05: Proceedings of the 17th conference on Innovative applications of artificial intelligence, pages 1541-1546. AAAI Press.
  7. Thrun, S. (2002). Robotic mapping: A survey. In Lakemeyer, G. and Nebel, B., editors, Exploring Artificial Intelligence in the New Millenium. Morgan Kaufmann.
  8. Vargas, F., Fagundes, R. D., and D. Barros, J. (2001). Summarizing a new approach to design speech recognition systems: A reliable noise-immune hw-sw version. Integrated Circuit Design and System Design, Symposium on, 0:0109.
  9. Zareian, F. and Krawinkler, H. (2009). Simplified performance based earthquake engineering. Technical report, Stanford University.
Download


Paper Citation


in Harvard Style

Collins T. and P. T. Moore J. (2010). AN INVERSE SENSOR MODEL FOR EARTHQUAKE DETECTION USING MOBILE DEVICES . In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8425-02-7, pages 81-86. DOI: 10.5220/0002911800810086


in Bibtex Style

@conference{icinco10,
author={Thomas Collins and John P. T. Moore},
title={AN INVERSE SENSOR MODEL FOR EARTHQUAKE DETECTION USING MOBILE DEVICES},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2010},
pages={81-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002911800810086},
isbn={978-989-8425-02-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - AN INVERSE SENSOR MODEL FOR EARTHQUAKE DETECTION USING MOBILE DEVICES
SN - 978-989-8425-02-7
AU - Collins T.
AU - P. T. Moore J.
PY - 2010
SP - 81
EP - 86
DO - 10.5220/0002911800810086