Award Abstract #0324988
ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management

NSF Org:	CNS Division of Computer and Network Systems
Initial Amendment Date:	August 22, 2003
Latest Amendment Date:	October 17, 2007
Award Number:	0324988
Award Instrument:	Continuing grant
Program Manager:	David Hung-Chang Du CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	September 15, 2003
Expires:	December 31, 2007 (Estimated)
Awarded Amount to Date:	$200000
Investigator(s):	Wei Zhao zhaow3@rpi.edu (Principal Investigator) Guan Qin (Former Principal Investigator)
Sponsor:	Texas Engineering Experiment Station TEES State Headquarters Bldg. College Station, TX 77843 979/862-1696
NSF Program(s):	ITR MEDIUM (GROUP) GRANTS
Field Application(s):	0000099 Other Applications NEC
Program Reference Code(s):	HPCC, 9215, 2884, 1652
Program Element Code(s):	1687

ABSTRACT

This project will develop advanced Information

Technology tools, mathematical models, and prototype infrastructure for disaster modeling and management. The project will bring comprehensive information and numerical prediction where it is needed, at the disaster command center, in real time. The system will incorporate large volume of information from data streams, e.g., as maps, sensor, surveyance, and weather data, and the mathematical model will run on remote supercomputers. The model will be controlled by dynamically available data, and the results visualized in distributed devices, like laptops and palmtops connected to the Internet by wireless ethernet and a broadband satellite link. Other sensors and airborne imagers will also be networked wirelessly. The core of the envisioned modeling system will be an existing computer model of wildland and weather around the area, adn these models will be rewritten from scratch using modern software engineering methodology as a data driven application, and enhanced by new mathematical modeling techniques together with advanced statistical techniques will be used to manage uncertainty. High-performance middleware will be used to connect omputational nodes, sensor nodes, surveyance nodes, and visualization nodes into a distributed information and modeling system. New network software technologies will make the communication between the nodes secure and provide quality of service guarantees. The system will be designed to tolerate interruptions of communication, increased latencies, and node disappearances.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

C. C. Douglas and G. Haase. "Algebraic multigrid and Schur complement strategies within a multilayer spectral element ocean model"," Contemporary Math., v.329, 2003, p. 89.

C. C. Douglas, J. Hu, J. Ray, D. T. Thorne, and R. Tuminaro,. "Cache aware multigrid for variable coefficient elliptic problems on adaptive mesh refinement hierarchies",," Numerical Linear Algrebra and Applications,, v.11, 2004, p. 173.

L.P. Franca, A.L. Madureira and F. Valentin. "Towards multiscale functions: Enriching finite element spaces with local but not bubble-like functions ," Computer Methods in Applied Mechanics and Engineering, v.194, 2005, p. 3006.

L.P. Franca, A.L. Madureira, L. Tobiska and F. Valentin. "Convergence analysis of a multiscale finite element method for singularly perturbed problems. Multiscale Modeling and Simulation ," A SIAM Interdisciplinary Journal, v.4, 2005, p. 839.

L.P. Franca, G. Hauke and A. Masud. "Revisiting stabilized finite element methods for the advective-diffusive equation," Computer Methods in Applied Mechanics and Engineering, 2005, p. 1-110.

L.P. Franca, J.V.A. Ramalho and F. Valentin. "Enriched Finite Element Methods for Unsteady Reaction-Diffusion Problems," Communications in Numerical Methods in Engineering, v.22, 2006, p. 619.

R. Kremens, J. Faulring, A. Gallagher, A. Seema, and A. Vodacek. "Autonomous field-deployable wildland fire sensors," Intl. J. of Wildland Fire,, v.12, 2003, p. 237.

S. Wang, D. Xuan, R. Bettati, and Wei Zhao. "Providing Absolute Differentiated Services for Real-Time Applications in Static-Priority Scheduling Networks,," IEEE Transactions on Networking,, v.12, 2004, p. 326.

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