Einladung zu einem Vortrag von:
Prof. Craig C. Douglas
University of Kentucky, Lexington and
Yale University, New Haven, CT
Large Mittwoch, 25. Juni 2003
,
15:00 Uhr, BA 9910
Virtual Telemetry for Dynamic Data-Driven Application
Simulations
We describe a virtual telemetry system that allows us to devise
and augment dynamic data-driven application simulations (DDDAS).
DDDAS offers interesting computational and mathematically unsolved
problems, such as, how do you analyze a generalized PDE when you
do not know either where or what the boundary conditions are at
any given moment in the simulation in advance? Only classical
analysis works (sort of), but Sobolev theory definitely is
missing. A summary of DDDAS features and why this is a really
neat new field will be included in the talk.
Virtual telemetry has the advantage that it is inexpensive to
produce from real time simulations and readily transmittable using
(sadly, highly modified) open source streaming software. Real
telemetry is usually expensive to receive (if it is even available
long term), tends to be messy, comes in no particular order, and
can be incomplete or erroneous due to transmission problems or
sensor malfunction. We will generate multiple streams
continuously for extended periods (e.g., months or years): clean
data, somewhat error prone data, and quite lossy or inaccurate
data. By studying all of the streams at once we will be able to
devise DDDAS components useful in predictive contaminant modeling.
This is joint with a cast of infinity: Chad Shannon, Yalchin,
Efendiev, Richard Ewing, Raytcho Lazarov, Martin J. Cole, Greg
Jones, Chris R. Johnson, and Jenny Simpson
... so far
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