Table of Contents Author Guidelines Submit a Manuscript
International Journal of Telemedicine and Applications
Volume 2016, Article ID 9362067, 10 pages
http://dx.doi.org/10.1155/2016/9362067
Research Article

Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events

1Electrical and Computer Engineering Department, University of Massachusetts Amherst, Amherst, MA 01003, USA
2Intermedix Corporation, 1800 S. Bell Street, Suite 210, Arlington, VA 22202, USA
3Disaster Preparedness Program, Harvard Humanitarian Initiative, Harvard University, Boston, MA 02215, USA

Received 30 October 2015; Revised 15 February 2016; Accepted 24 March 2016

Academic Editor: Cristiana Larizza

Copyright © 2016 Aura Ganz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. H. Chenji, W. Zhang, M. Won, R. Stoleru, and C. Arnett, “A wireless system for reducing response time in Urban Search & Rescue,” in Proceedings of the IEEE 31st International Performance Computing and Communications Conference (IPCCC '12), pp. 215–224, Austin, Tex, USA, December 2012. View at Publisher · View at Google Scholar
  2. B. J. Betts, R. W. Mah, R. Papasin, R. Del Mundo, D. M. McIntosh, and C. Jorgensen, “Improving situational awareness for first responders via mobile computing,” NASA Ames NASA/TM-2005-213470, 2005. View at Google Scholar
  3. Q. Hamp, L. Reindl, and A. Kleiner, “Lessons learned from German research for USAR,” in Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, pp. 26–31, Kyoto, Japan, November 2011. View at Publisher · View at Google Scholar
  4. F. Pea-Mora, A. Y. Chen, Z. Aziz et al., “Mobile ad hoc network-enabled collaboration framework supporting civil engineering emergency response operations,” Journal of Computing in Civil Engineering, vol. 24, no. 3, pp. 302–312, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. Z. Aziz, F. Pea-Mora, A. Chen, and T. Lantz, “Supporting urban emergency response and recovery using RFID-based building assessment,” Disaster Prevention and Management, vol. 18, no. 1, pp. 35–48, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. A. Ganz, J. Schafer, X. Yu, G. Lord, J. Burstein, and G. R. Ciottone, “Real-time scalable resource tracking framework (DIORAMA) for mass casualty incidents,” International Journal of E-Health and Medical Communications, vol. 4, no. 2, pp. 34–49, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. A. Ganz, J. M. Schafer, Z. Yang, J. Yi, G. Lord, and G. Ciottone, “Mobile DIORAMA-II: infrastructure less information collection system for mass casualty incidents,” in Proceedings of the IEEE Engineering in Medicine and Biology Society, pp. 2682–2685, Chicago, Ill, USA, 2014. View at Publisher · View at Google Scholar
  8. Microsoft Azure: Documentation Center, Microsoft, February 2016, https://azure.microsoft.com/en-us/documentation/.
  9. A. Ganz, J. M. Schafer, J. Tang, Z. Yang, J. Yi, and G. Ciottone, “Urban search and rescue situational awareness using DIORAMA disaster management system,” in Proceedings of the Humanitarian Technology: Science, Systems and Global Impact Workshop (HumTech '15), Boston, Mass, USA, May 2015.
  10. A. Ganz, J. Schafer, J. Tang, Z. Yang, J. Yi, and G. Ciottone, “Interactive visual analytic tools for forensic analysis of mass casualty incidents using DIORAMA system,” in Proceedings of the IEEE International Symposium on Technologies for Homeland Security (HST '15), Waltham, Mass, USA, April 2015. View at Publisher · View at Google Scholar · View at Scopus
  11. J. Zhou and J. Shi, “RFID localization algorithms and applications—a review,” Journal of Intelligent Manufacturing, vol. 20, no. 6, pp. 695–707, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. Y. Zhang, X. Li, and M. Amin, Principles and Techniques of RFID Positioning, vol. 389 of RFID Systems, 2010.
  13. T. Sanpechuda and L. Kovavisaruch, “A review of RFID localization: applications and techniques,” in Proceedings of the 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON '08), vol. 2, pp. 769–772, IEEE, Krabi, Thailand, May 2008. View at Publisher · View at Google Scholar · View at Scopus