Multicore intelligent system of pattern recognition

Author

Koleshko, Vladimir ; Varabei, Yauhen ; Khmurovich, Nikita

Author_Institution

Dept. of Intell. Syst., Belarusian Nat. Tech. Univ., Minsk, Belarus

fYear

2010

fDate

20-23 April 2010

Firstpage

103

Lastpage

105

Abstract

An intelligent recognition system “MAP” of multidimensional sensory patterns for analysis of gaseous, liquid and heterogeneous matters is developed with a hardware on basis of surface acoustic wave (SAW) micro-nanosensors on a chip “electronic tongue” (e-tongue) and “electronic nose” (e-nose), also an optical microtomography in broadband frequency range, described multicore and parallel processing technologies for fast self-learning and on-line analysis of information sensory patterns.

Keywords

computerised instrumentation; electronic noses; electronic tongues; intelligent sensors; microsensors; nanosensors; optical tomography; parallel processing; pattern recognition; surface acoustic waves; unsupervised learning; MAP; electronic nose; electronic tongue; information sensory patterns; intelligent recognition system; micronanosensors; multicore intelligent system; multidimensional sensory patterns; online analysis; optical microtomography; parallel processing; pattern recognition; self learning; surface acoustic wave; Hardware; Information analysis; Intelligent sensors; Intelligent systems; Multicore processing; Multidimensional systems; Optical surface waves; Pattern analysis; Pattern recognition; Surface acoustic waves; Micro-nanosensors; intelligent system; optical microtomography; parallel processing; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Perspective Technologies and Methods in MEMS Design (MEMSTECH), 2010 Proceedings of VIth International Conference on

Conference_Location

Lviv

Print_ISBN

978-1-4244-7325-0

Electronic_ISBN

978-966-2191-11-0

Type

conf

Filename

5499314