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2009
ACM
14 years 2 months ago
Autotuning multigrid with PetaBricks
Algorithmic choice is essential in any problem domain to realizing optimal computational performance. Multigrid is a prime example: not only is it possible to make choices at the ...
Cy P. Chan, Jason Ansel, Yee Lok Wong, Saman P. Am...
ICAC
2008
IEEE
14 years 2 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
IJCNN
2007
IEEE
14 years 2 months ago
Optimal Control of a Photovoltaic Solar Energy System with Adaptive Critics
- This paper presents an optimal energy control scheme for a grid independent photovoltaic (PV) solar system consisting of a PV array, battery energy storage, and time varying load...
Richard L. Welch, Ganesh K. Venayagamoorthy
ROBOCUP
2007
Springer
159views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Model Checking Hybrid Multiagent Systems for the RoboCup
Abstract. This paper shows how multiagent systems can be modeled by a combination of UML statecharts and hybrid automata. This allows formal system cation on different levels of ab...
Ulrich Furbach, Jan Murray, Falk Schmidsberger, Fr...
VLDB
2004
ACM
186views Database» more  VLDB 2004»
14 years 1 months ago
Indexing Large Human-Motion Databases
Data-driven animation has become the industry standard for computer games and many animated movies and special effects. In particular, motion capture data recorded from live actor...
Eamonn J. Keogh, Themis Palpanas, Victor B. Zordan...