Real Time Estimation and Prediction Using Optimistic Simulation and Control Theory Te


 
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Old 07-08-2008
Real Time Estimation and Prediction Using Optimistic Simulation and Control Theory Te

Neo
Tue, 08 Jul 2008 04:45:35 +0000
Jeffrey S. Steinman, Ph.D. WarpIV Technologies, Inc and Timothy Busch, Ph.D., Air Force Research Labs, Rome Labs describe ongoing R&D in a wide variety of use cases that benefit from continuous real-time state estimation to predict future outcomes.
This presentation is an excellent example of the future of complex event processing where the notion of using Kalman Filters for estimation and prediction illustrates*one of the operational challenges*for folks working in the CEP problem domain.
Example use cases include air traffic control, road congestion, energy grid management, battlespace management, and economic forecasting.


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sofa(1) 																   sofa(1)

NAME
sofa - SOFA GUI SYNOPSIS
sofa [OPTIONS] DESCRIPTION
SOFA is an Open Source framework primarily targeted at real-time simulation, with an emphasis on medical simulation. It is mostly intended for the research community to help develop newer algorithms, but can also be used as an efficient prototyping tool. Based on an advanced software architecture, it allows one to: * create complex and evolving simulations by combining new algorithms with algorithms already included in SOFA * modify most parameters of the simulation - deformable behavior, surface representation, solver, constraints, collision algorithm, etc. - by simply editing an XML file * build complex models from simpler ones using a scene-graph description * efficiently simulate the dynamics of interacting objects using abstract equation solvers * reuse and easily compare a variety of available methods OPTIONS
-h --help this help -s --start start the animation loop (default: 0 ) -p --factory In addition to the baz segments, also parse the blurfl headers. -g --gui choose the UI (batch|qt|glut) (default: qt ) -l --load load given plugins (default: ) AUTHORS
SOFA is currently developed by 3 INRIA teams: Alcove, Evasion and Asclepios but the project also benefited from the help of the CIMIT Sim Group, ETH Zurich and CSIRO. SEE ALSO
The full documentation for sofa is available at <http://www.sofa-framework.org> August 2008 sofa(1)