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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2014 - 13

Development of Precision Information Measuring System for Ultraviolet Radiation

ROSHCHUPKIN, O. See more information about ROSHCHUPKIN, O. on SCOPUS See more information about ROSHCHUPKIN, O. on IEEExplore See more information about ROSHCHUPKIN, O. on Web of Science, SMID, R. See more information about  SMID, R. on SCOPUS See more information about  SMID, R. on SCOPUS See more information about SMID, R. on Web of Science, SACHENKO, A. See more information about  SACHENKO, A. on SCOPUS See more information about  SACHENKO, A. on SCOPUS See more information about SACHENKO, A. on Web of Science, KOCHAN, V. See more information about KOCHAN, V. on SCOPUS See more information about KOCHAN, V. on SCOPUS See more information about KOCHAN, V. on Web of Science
 
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Download PDF pdficon (720 KB) | Citation | Downloads: 580 | Views: 3,190

Author keywords
information-measuring system, multisensor, neural network, photodiode, individual conversion function, temperature dependency

References keywords
sensors(9), neural(9), networks(7), sachenko(6), kochan(6), systems(5), measurement(5), link(5), intelligent(5)
No common words between the references section and the paper title.

About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 101 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03013
Web of Science Accession Number: 000340869800013
SCOPUS ID: 84907348487

Abstract
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Results of studying the neural network method are presented to reduce the amount of calibration points for the multisensor (MS), in particular for the photodiode. This allows transmitting to the MS individual conversion function and provides the high accuracy of measurement. The structure of synthesized information-measuring system and its measuring channel has created for implementing of the proposed approach. A structural scheme is proposed as well for values transmitting the etalon measures to measuring systems. Its used to determine the errors of photodiodes, as those which are produced for customers. This assures the interchangeability of sensors when using the individual conversion function.


References | Cited By  «-- Click to see who has cited this paper

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[3] Roshchupkin O., Smid R., Kochan V., Sachenko A. Reducing the Calibration Points of Multisensors. Proceedings of the 9th IEEE International Multi-Conference on Systems, Signals and Devices (SSDÂ’2012). - Chemnitz ,Germany, March 20 - 23, 2012. Pp.1-6.
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[9] Patent of Ukraine for Inventions # 103802 registered on 25.11.2013. Application # a2011 13840, declared 24.11.2011. Method of Multisensor Convertion Function Identification. Roshchupkin O. U., Kochan V. V., Sachenko A. O. (In Ukrainian) [Online] Available: Temporary on-line reference link removed - see the PDF document

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[11] D. Wobschall A Multi-port Serial NCAP using IEEE1451 Smart Transducer Standard / D. Wobschall, A. Stepanenko, I. Maykiv, R. Kochan, A. Sachenko, V. Kochan // IEEE Sensor Application Symposium (SAS-2009): IEEE international conference, 17-19 February 2009: proceedings. - New Orleans, USA, 2009, pp. 293-297.
[CrossRef] [SCOPUS Times Cited 3]


[12] J. Rivera-Mejia, M. Carrillo-Romero, G. Herrera-Ruiz. Self-compensation to build reconfigurable measurement systems. Instrumentation & Measurement Magazine, IEEE (Volume:16 , Issue: 2). 2013. Pp. 10 - 19
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[15] M. J. Rivera, R. M. Carrillo, M. M. Chacon, R. G. Herrera, D. G. Bojorquez, "Self-calibration and optimal response in intelligent sensors design based on artificial neural networks," Sensors, vol. 7, pp. 1509-1529, Aug. 2007, ISSN 1424-8220.
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[16] D.E. Rumelhart, G.E. Hinton, R.J. Williams "Learning internal representations by error propagation". // Parallel Distributed Processing, Vol. I Foundations. - MIT Press, Cambridge, MA, 1986., - pp. 315 - 328. ISSN: 00280836

[17] Oleksiy Roshchupkin, Radislav Smid, Volodymyr Kochan, Anatoly Sachenko. Multisensors Signal Processing Using Microcontroller and Neural Networks Identification. Sensors & Transducers Journal, Vol.24, No.8, 2013, pp. 1-6.

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References Weight

Web of Science® Citations for all references: 578 TCR
SCOPUS® Citations for all references: 346 TCR

Web of Science® Average Citations per reference: 22 ACR
SCOPUS® Average Citations per reference: 13 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-10-05 19:10 in 74 seconds.




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Stefan cel Mare University of Suceava, Romania


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