DDDAS Predictions for Water Spills
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
A dynamic data-driven approach for rail transport system simulation
Winter Simulation Conference
A dynamic data driven application system for wildfire spread simulation
Winter Simulation Conference
Advantages of multiscale detection of defective pills during manufacturing
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
Distributed dynamic data driven prediction based on reinforcement learning approach
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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This is the 5thInternational Workshop on Dynamic Data Driven Applications Systems (DDDAS), organized in conjunction with ICCS. The DDDAS concept entails the ability to dynamically incorporate 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 is leading to new capabilities by improving applications modeling and systems management methods, augmenting the analysis and prediction capabilities of 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 enabled through DDDAS and driven by DDDAS. The papers presented in this workshop represent ongoing multidisciplinary research efforts by an international set of researchers from academe, industry, national and research laboratories.