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» Taming Dynamically Adaptive Systems using models and aspects
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CIDU
2010
14 years 7 months ago
Adaptive Model Refinement for the Ionosphere and Thermosphere
Mathematical models of physical phenomena are of critical importance in virtually all applications of science and technology. This paper addresses the problem of how to use data to...
Anthony M. D'Amato, Aaron J. Ridley, Dennis S. Ber...
CVPR
2005
IEEE
15 years 11 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
FORMATS
2007
Springer
15 years 1 months ago
Combining Formal Verification with Observed System Execution Behavior to Tune System Parameters
Resource limited DRE (Distributed Real-time Embedded) systems can benefit greatly from dynamic adaptation of system parameters. We propose a novel approach that employs iterative t...
Minyoung Kim, Mark-Oliver Stehr, Carolyn L. Talcot...
RTSS
2007
IEEE
15 years 4 months ago
Adapting Futures: Scalability for Real-World Computing
Creating robust real-time embedded software is critical in combining the physical world with computing, such as in consumer electronics or robotics. One challenge is the complexit...
Johannes Helander, Risto Serg, Margus Veanes, Prit...
AIPS
2006
14 years 11 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens