Multisensors Signal Processing Using Microcontroller and Neural Networks Identification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207172" target="_blank" >RIV/68407700:21230/13:00207172 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Multisensors Signal Processing Using Microcontroller and Neural Networks Identification

Original language description

An approach of multisensor signals processing at microprocessor or 8 bit microcontrollers is showed in this paper. This approach is based on multisensor individual conversion function or individual characteristic curve identification method with using ofneural networks. It allow to reduce an amount of calibration points and increase the precision of identification with comparatively to well known methods. The realization of this approach was made on developed system for ultraviolet level measurement based on 8-bit microcontrollers.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JB - Sensors, detecting elements, measurement and regulation

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Sensors and Transducers

ISSN

1726-5479

e-ISSN

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Volume of the periodical

24

Issue of the periodical within the volume

8

Country of publishing house

ES - SPAIN

Number of pages

6

Pages from-to

1-6

UT code for WoS article

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EID of the result in the Scopus database

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