Some real-world applications of wireless sensor nodes

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5391, Issue , 2004, Pages 344-355

  Glaser, Steven D ^a  

^a University of California   (United States)

Author keywords

MEMS sensors; Structural response; System identification; Wireless instrumentation

Indexed keywords

DATA TRANSFER; EMBEDDED SYSTEMS; KALMAN FILTERING; ROM; STATIC RANDOM ACCESS STORAGE; WIRELESS TELECOMMUNICATION SYSTEMS;

BAYESIAN UPDATING; MEMS SENSORS; STRUCTURAL RESPONSE; WIRELESS INSTRUMENTATION;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 10044289693     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.539089     Document Type: Conference Paper

References (30)

1. Arici, Y., and Mosalam, K.M., (2000) System Identification and Modeling of Bridge Systems for Assessing Current Design Procedures, Proceedings of SMIP2000 Seminar.
2. Baise, L.G., and Glaser, S.D., (2000), Repeatability of Site Response Estimates Made Using System Identification, Bulletin of the Seismological Society of America, 90(4), 993-1009.
3. Beck, J.L., (1978), Determining Models of Structures from Earthquake Records. Earthquake Engineering Research Laboratory 78-01. California Institute of Technology.
4. Beck, J.L., and Katafygiotis, L.S., (1998), Updating Models and Their Uncertainties. I: Bayesian Statistical Framework, Journal of Engineering Mechanics, 124(4), 455.
5. Buonadonna, P., and Hill, J., (2000), Active Message Communication for Network Attached Devices, Infocom 2000, Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies, April 22-26, 2001
6. Ching, J.-Y., and Glaser, S.D., (2003), Identification of Soil Degradation During Earthquake Excitations by Bayesian Inference, Earthquake Engineering and Structural Dynamics, 32, 845-869.
7. DeHoop, M., and DeHoop, A.T., (2000), Wavefield Reciprocity and Optimization in Remote Sensing, Proc. R. Soc. Lond. A, 456(2000) 641-682.
8. DesRoches, R., Fenves, G.L., (1994), Response of the Northwest Connector in the Landers and Big Bear Earthquakes, Report No. UCB/EERC-94/12, Earthquake Engineering Research Center, University of California, Berkeley.
9. Farrar, C.R., and Doebling, S.W., (1997), Lessons Learned from Applications of Vibration-Based Damage Identification Methods to Large Bridge Structures, Proc. of the International Workshop on Structural Health Monitoring, Stanford, CA, Sept 1997, 351-370.
10. Farrar, C.R., Doebling, S.W., and Nix, D.A., (2001), Vibration-Based Structural Damage Identification, Philosophical Transactions of the Royal Society: Mathematical, Physical & Engineering Sciences, 359(1778), 131-149.
11. Gersch, W., and Brotherton, T., (1982), Estimation of Stationary Structural System Parameters from Non-stationary Random Vibration Data: a Locally Stationary Model Method, J. Sound and Vibration, 81(2), 215-227.
12. Glaser, S.D., and Baise, L.G., (2000), System Identification Estimation of Damping and Modal Frequencies at the Lotung Site, Soil Dynamics and Earthquake Engineering, 19(6), 521-531.
13. Hill, J., and Culler, D., (2002), Mica: A Wireless Platform for Deeply Embedded Networks, IEEE Micro., 22(6), 12-24.
14. Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D., and Pister, K.S.J., (2000), System Architecture Directions for Networked Sensors, The Ninth International Conference on Architectural Support for Programming Languages and Operating Systems, Nov. 13-15, 2000.
15. Hoshiya, M., and Saito, E., (1984), Structural Identification by Extended Kalman Filter, J. Engng. Mech., 110(12), 1757.
16. Lin, J.-S., and Zhang, Y., (1994), Nonlinear Structural Identification Using Extended Kalman Filters, Computers and Structures, 52(4), 757.
17. Lus, H., Betti, R., and Longman, R.W., (1999), Identification of Linear Structural Systems Using Earthquake Induced Vibration Data, Earthquake Engineering and Structural Dynamics, 28, 1449-1467.
18. Mainwaring, A.M., and Culler, D.E., (1999), Design Challenges of Virtual Networks: Fast, General-Purpose Communication, Proc., 1999 ACM Sigplan Symposium on Principles and Practice of Parallel Programming (PPoPP'99), 34(8), ACM Sigplan Notices, 119-130.
19. Mitrani, J., Goethals, J., and Glaser, S.D., (2002), Field Testing of Wireless Interactive Sensor Nodes, report submitted to Port and Airport Research Institute, February 13, 2002
20. McConnell, K.G, (1995), Vibration Testing: theory and practice, Wiley, p. 606.
21. Porter, K.A., Beck, J.L., Seligson, H.A., Scawthorn, C.R., Tobin, L.T., Young, R., and Boyd, T., (2002), Improving Loss Estimation for Woodframe Buildings, Vol. 1, Report, Consortium of Universities for Research in Earthquake Engineering, Richmond, CA, pp. 136.
22. Safak, E., (1997), Propagation of Seismic Waves in Tall Buildings, Tall Buildings for the 21st Century (Proceedings of the 4th Conference on Tall Buildings in Seismic Regions), 129-154.
23. Safak, E., (1988), Analysis of Recordings in Structural Engineering: Adaptive Filtering, Prediction, and Control. (Open-File Report 88-647). Menlo Park, CA: U.S. Geological Survey.
24. Shumway, R.H., and Stoffer, D.S., (1982), An Approach to Time Series Smoothing and Forecasting Using the EM Algorithm, Journal of Time Series Analysis, 3(4), 253.
25. Smyth, A.W., Masri, S.F., Chassiakos, A.G., and Caughey, T.K., (1999), On-Line Parameter Identification of MDOF Nonlinear Hysteretic Systems, Journal of Engineering Mechanics, 125(2), 133.
26. Stewart, J.P., Fenves, G.L., (1998), System Identification for Evaluation of Soil-sStructure Interact Effects in Buildings from Strong Motion Recordings, Earthquake Engineering and Structural Dynamics, 27, 869-885.
27. TOS, (2004), http://webs.cs.berkeley.edu/tos/index.html.
28. Udwadia, F. E., (1985), Some Uniqueness Results Related to Soil and Building Structural Identification, SIAM J. Applied Math., 45(4), 674.
29. Werner, S.D., Crouse, C.B., Katafygiotis, L.S., and Beck, J.L., (1994), Use of strong motion records for model evaluation and seismic analysis of a bridge structure, Proc. Fifth U.S. National Conference on Earthquake Engineering, 1, 511-520.
30. Woo, A., and Culler, D., (2003), Evaluation of Efficient Link Reliability Estimators for Low-Power Wireless Networks. Technical Report UCB//CSD-03-1270, U.C. Berkeley Computer Science Division, September 2003.