WIPER: An emergency response system

Proceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management

Volumn , Issue , 2008, Pages 702-710

  Pawling, Alec ^a   Schoenharl, Tim ^a   Yan, Ping ^a   Madey, Greg ^a  

^a University of Notre Dame   (United States)

Author keywords

Agent based simulation; Data mining; Emergency response system; Geographical information systems

Indexed keywords

DATA MINING; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS;

AGENT BASED SIMULATION; EMERGENCY RESPONSE; EMERGENCY RESPONSE SYSTEMS; EMERGENCY SITUATION; INTEGRATED SYSTEMS; RUNNING SIMULATIONS; SIMULATION SYSTEMS; WEB-BASED FRONT END;

FINANCIAL DATA PROCESSING;

EID: 84905583224     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. Banks, J., Carson, J., Nelson, B., & Nicol, D. (2005). Discrete-event system simulation (Third ed.). Upper Saddle River, NJ: Prentice Hall.
2. Burgess, J., & Pearlstein, S. (1999, December 1,). Protests delay WTO opening. Washington Post.
3. Cheu, E. Y., Keongg, C., & Zhou, Z. (2004). On the two-level hybrid clustering algorithm. In International conference on artificial intelligence in science and technology (pp. 138-142).
4. Chipman, H., & Tibshirani, R. (2006). Hybrid hierarchical clustering with applications to microarray data. Biostatistics, 7(2), 286-301.
5. Douglas, C., & Deshmukh, A. (2000, March). Dynamic data driven application systems. http://www.dddas.org/NSFworkshop2000.html.
6. Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W. M., Railsback, S. F., Thulke, H.-H., Weiner, J., Wiegand, T., & DeAngelis, D. L. (2005, November). Pattern-oriented modeling of agent-based complex systems: Lessons from ecology. Science, 310(5750), 987-991.
7. Harden, B., & Moreno, S. (2005, September 23,). Thousands fleeing Rita jam roads from coast. Washington Post.
8. Hartigan, J. A. (1975). Clustering algorithms. New York, NY, USA: John Wiley & Sons.
9. Ihler, A., Hutchins, J., & Smyth, P. (2006). Adaptive event detection with time-varying poisson processes. In Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining. New York, NY, USA: ACM.
10. Ihler, A., Hutchins, J., & Smyth, P. (2007, December) Learning to detect events with Markov-modulated Poisson processes. ACM Transactions on Knowledge Discovery from Data, 1(3), 13.
11. Jain, A. K., Murty, M. N., & Flynn, P. J. (1999, September). Data clustering: A review. ACM Computing Surveys, 31(3), 264-323.
12. Jeffay, K., & Goddard, S. (1999, December). A theory of rate-based execution. In Proceedings of the 20th IEEE real-time systems symposium (pp. 304-314).
13. Liu, C. L., & Layland, J. W. (1973). Scheduling algorithms for multiporgramming in a hard-real-time environment. Journal of the ACM, 20(1), 40-61.
14. Madey, G. (2008). WIPER: The integrated wireless phone-based emergency response system. http://www.nd.edu/~dddas.
15. Madey, G. R., Barabási, A.-L., Chawla, N. V., Gonzalez, M., Hachen, D., Lantz, B., Pawling, A., Schoenharl, T., Szabó, G., Wang, P., & Yan, P. (2007). Enhanced situational awareness: Application of DDDAS concepts to emergency and disaster management. In Y. Shi, G. D. van Albada, J. Dongarra, & P. M. A. Sloot (Eds.), Proceedings of the international conference on computational science (Vol. 4487, pp. 1090-1097). Berlin, Germany: Springer.
16. Madey, G. R., Szabó, G., & Barabási, A.-L. (2006). WIPER: The integrated wireless phone based emergency response system. In V. N. Alexandrov, G. D. val Albada, P. M. A. Sloot, & J. Dongarra (Eds.), Proceedings of the international conference on computational science (Vol. 3993, pp. 417-424). Berlin, Germany: Springer-Verlag.
17. Mitzenmacher, M., & Upfal, E. (2005). Probability and computing: Randomized algorithms and probabilistic analysis. Cambridge, United Kingdom: Cambridge University Press.
18. Pawling, A. (2007, October). A system for detecting anomalies in data streams for emergency response applications. Dissertation Proposal.
19. Pawling, A., Chawla, N. V., & Madey, G. (2007, December). Anomaly detection in a mobile communication network. Computational & Mathematical Organization Theory, 13(4), 407-422.
20. Reynolds, C. W. (1987). Flocks, herds and schools: A distributed behavioral model. In Proceedings of the 14th annual conference on computer graphics and interactive techniques (pp. 25-34). New York, NY, USA: ACM Press.
21. Schoenharl, T. (2007). Updating and validating simulations in a dynamic data driven application system. Unpublished doctoral dissertation, University of Notre Dame.
22. Schoenharl, T., Bravo, R., & Madey, G. (2006). WIPER: Leveraging the cell phone network for emergency response. International Journal of Intelligent Control and Systems, 11(4), 209-216.
23. Schoenharl, T., Madey, G., Szabó, G., & Barabási, A.-L. (2006). WIPER: A multi-agent system for emergency response. In B. van de Walle & M. Turoff (Eds.), Proceedings of the 3rd international information systems for crisis response and management conference.
24. Sha, L., Abdelzaher, T., Arzén, K.-E., Cervin, A., Baker, T., Burns, A., Buttazzo, G., Caccamo, M., Lehoczky, J., & Mok, A. K. (2004). Real time scheduling theory: A historical perspective. Real-Time Systems, 28, 101-155.
25. Surdeanu, M., Turmo, J., & Ageno, A. (2005). A hybrid unsupervised approach for document clustering. In Proceedings of the 5th ACM SIGKDD international conference on knowledge discovery and data mining.
26. Tatomir, B., & Rothkrantz, L. (2005, April). Crisis management using mobile ad-hoc wireless networks. In Proceedings of the second international ISCRAM conference.
27. Thomas, M., Andoh-Baidoo, F., & George, S. (2005). EVResponse - moving beyond traditional emergency response notification. In Proceedings of the eleventh Americas conference on information systems.
28. Yan, P., Schoenharl, T., Pawling, A., & Madey, G. (2007, October). Anomaly detection in the WIPER system using a Markov modulated Poisson process. Working Paper.