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» Decentralised Control of Complex Systems
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CODES
1999
IEEE
15 years 10 months ago
An ASIP design methodology for embedded systems
A well-known challenge during processor design is to obtain the best possible results for a typical target application domain that is generally described as a set of benchmarks. O...
Kayhan Küçükçakar
DARE
2000
108views more  DARE 2000»
15 years 7 months ago
Evaluating navigation methods for an AR system
BUILD-IT is a planning tool based on computer vision technology, supporting complex planning and composition tasks. A group of people, seated around a table, interact with objects...
Morten Fjeld
AIR
2006
107views more  AIR 2006»
15 years 6 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
CDC
2008
IEEE
127views Control Systems» more  CDC 2008»
16 years 26 days ago
Prediction of vertical motions for landing operations of UAVs
— This paper outlines a novel and feasible procedure to predict vertical motions for safe landing of unmanned aerial vehicles (UAVs) during maritime operations. In the presence o...
Xilin Yang, Hemanshu Roy Pota, Matthew Garratt, Va...
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
15 years 1 months ago
An adaptive-covariance-rank algorithm for the unscented Kalman filter
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
Lauren E. Padilla, Clarence W. Rowley