ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Cyberinfrastructure for Contamination Source Characterization in Water Distribution Systems
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Multi-level Coupling of Dynamic Data-Driven Experimentation with Material Identification
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
A dynamic data-driven approach for rail transport system simulation
Winter Simulation Conference
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The Dynamic Data Driven Application Systems (DDDAS) concept entails the ability to incorporate dynamically data into an executing application simulation, and in reverse, the ability of applications to dynamically steer measurement processes. Such dynamic data inputs can be acquired in real-time on-line or they can be archival data. DDDAS offers the promise of improving modeling methods, augmenting the analysis and prediction capabilities of application simulations, improving the efficiency of simulations and the effectiveness of measurement systems. The scope of the present workshop provides examples of research and technology advances in enabling the DDDAS capabilities.