DocumentCode
2912578
Title
A Resource-Constrained Sensor Dynamic Compensation Using a Learning-from-Examples Approach
Author
Marconato, A. ; Hu, M. ; Marzadro, C. ; Boni, A. ; Petri, D.
Author_Institution
Univ. of Trento, Trento
fYear
2007
fDate
1-3 May 2007
Firstpage
1
Lastpage
6
Abstract
In this paper we present a novel technique based on a learning-from-examples approach for dynamic compensation of sensors. The context of application is the area of Wireless Sensor Networks, where simple but at the same time efficient signal processing methods have to be implemented on local 8-bits microcontrollers.
Keywords
microcontrollers; signal processing; wireless sensor networks; dynamic compensation; learning-from-examples; microcontrollers; resource constrained dynamic compensation sensor; signal processing; wireless sensor networks; word length 8 bit; Communications technology; Instrumentation and measurement; Intelligent sensors; Inverse problems; Microcontrollers; Pervasive computing; Sensor phenomena and characterization; Sensor systems; Support vector machines; Wireless sensor networks; Sensor compensation; microcontroller implementation; reduced-set methods; support vector machines for regression;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location
Warsaw
ISSN
1091-5281
Print_ISBN
1-4244-0588-2
Type
conf
DOI
10.1109/IMTC.2007.378984
Filename
4258319
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