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Vol. 24, Special Issue, August 2013, pp. 1-6

 

Bullet

 

Multisensors Signal Processing Using Microcontroller and Neural Networks Identification
 
1 Oleksiy ROSHCHUPKIN, 2 Radislav SMID, 1 Volodymyr KOCHAN, 1, 3 Anatoly SACHENKO

1 Research Institute of Intelligent Computer Systems, Ternopil National Economic University, 3 Peremoga Square 46020, Ternopil, Ukraine

2 Faculty of Electrical Engineering, Czech Technical University, Technicka 2, 166 27 Prague 6, Czech Republic

3 Department of Computer Science and Econometrics, Silesian University of Technology, Roosevelta St. 26-28, Zabrze, 41-800, Poland

1 Tel.: +380352475050 ext.12322, fax: +380352475053

2 Tel.: +420224352131, fax: +420233339929
E-mail: o.roshchupkin@chnu.edu.ua, smid@fel.cvut.cz, vk@tneu.edu.ua, a_sachenko@ieee.org

 

Received: 15 May 2013   /Accepted: 16 August 2013   /Published: 30 August 2013

Digital Sensors and Sensor Sysstems

 

Abstract: 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 of neural 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.

 

Keywords: Multisensor, Microprocessor, Microcontroller, Individual conversion function, Individual characteristic curve, Neural networks, Ultraviolet.

 

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