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» Complex networks as control paradigm for complex systems
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AINA
2010
IEEE
15 years 5 months ago
Compensation of Sensors Nonlinearity with Neural Networks
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...
Nicholas J. Cotton, Bogdan M. Wilamowski
CIC
2006
156views Communications» more  CIC 2006»
15 years 8 months ago
The Impact of Clustering in Distributed Topology Control
Abstract-- Topology control is the problem of assigning power levels to the nodes of an ad hoc network so as to maintain a specified network topology while minimizing energy consum...
Liang Zhao, Errol L. Lloyd
TIM
2010
144views Education» more  TIM 2010»
15 years 1 months ago
A Decentralized Observer for Ship Power System Applications: Implementation and Experimental Validation
In the last few years, the growing complexity of the electrical power networks, mainly due to the increased use of electronic converters together with the requirements of a higher ...
Andrea Benigni, Gabriele D'Antona, U. Ghisla, Anto...
ENTCS
2006
112views more  ENTCS 2006»
15 years 6 months ago
Synchronous Dataflow Pattern Matching
We introduce variant types and a pattern matching operation to synchronous dataflow languages. These languages are used in the design of reactive systems. As these systems grow in...
Grégoire Hamon
IPSN
2011
Springer
14 years 10 months ago
Localising speech, footsteps and other sounds using resource-constrained devices
While a number of acoustic localisation systems have been proposed over the last few decades, these have typically either relied on expensive dedicated microphone arrays and works...
Yukang Guo, Mike Hazas