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» A Process Algebra for Predictible Control Systems
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AROBOTS
2011
14 years 6 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
ICRA
2006
IEEE
86views Robotics» more  ICRA 2006»
15 years 5 months ago
The Statistical Dynamics of Programmed Self-assembly
Abstract— We describe how a graph grammar program for robotic self-assembly, together with measurements of kinetic rate data yield a Markov Process model of the dynamics of progr...
Nils Napp, Samuel Burden, Eric Klavins
HAIS
2009
Springer
15 years 4 months ago
A Thermodynamical Model Study for an Energy Saving Algorithm
A local Spanish company that produces electric heaters needs an energy saving device to be integrated with the heaters. It was proven that a hybrid artificial intelligent systems (...
Enrique A. de la Cal, José Ramón Vil...
ICAS
2006
IEEE
139views Robotics» more  ICAS 2006»
15 years 5 months ago
Predicting Resource Demand in Dynamic Utility Computing Environments
— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
Artur Andrzejak, Sven Graupner, Stefan Plantikow
FPL
2007
Springer
105views Hardware» more  FPL 2007»
15 years 6 months ago
Time Predictable CPU and DMA Shared Memory Access
In this paper, we propose a first step towards a time predictable computer architecture for single-chip multiprocessing (CMP). CMP is the actual trend in server and desktop syste...
Christof Pitter, Martin Schoeberl