|3/2014 - 13|
Development of Precision Information Measuring System for Ultraviolet RadiationROSHCHUPKIN, O. , SMID, R. , SACHENKO, A. , KOCHAN, V.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (720 KB) | Citation | Downloads: 363 | Views: 2,684|
information-measuring system, multisensor, neural network, photodiode, individual conversion function, temperature dependency
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
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|
| A. A. Sachenko. Designing of Intelligent Measuring Systems of Nonelectric Quantities. Engineering Systems with Intelligence, Microprocessor-Based and Intelligent Systems Engineering, Vol. 9, pp 679-686, 1991. |
 Manual on the use of Thermocouples in Temperature Measurement. ASTM Committee E20 on Temperature Measurement - 4th ed. - Philadelphia, ASTM, 1993. - 290p. ISBN: 0-8031-1466-4
 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 (SSD2012). - Chemnitz ,Germany, March 20 - 23, 2012. Pp.1-6.
[CrossRef] [SCOPUS Times Cited 11]
 ST120 Dual Silicon Based Thermopile Detector: 2 Channels. [Online] Available: Temporary on-line reference link removed - see the PDF document
 Turchenko I. Accurate Recognition of Multi-Sensor Output Signal Using Modular Neural Networks / Turchenko I., Kochan V., Sachenko A. // International Journal of Information Technology and Intelligent Computing. - 2007. - Vol. 2, No. 1. - P. 27- 47.
 Butenko V.K. Radiometer of ultraviolet radiation - "Tensor-31" / V.K. Butenko, V.G. Yurev // TKEA. 2006. Vol. 6. Pp. 36-38. (In Russian)
 Song, Eugene Y., and Kang Lee. "Understanding IEEE 1451-Networked smart transducer interface standard-What is a smart transducer?" Instrumentation & Measurement Magazine, IEEE 11.2 (2008): 11-17.
[CrossRef] [Web of Science Times Cited 119] [SCOPUS Times Cited 153]
 ADUC845: Precision Analog Microcontroller. [Online] Available: Temporary on-line reference link removed - see the PDF document
 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
 G. B. Clayton, S. Winder. Operational amplifiers. Elsevier, 2003. ISBN: 978-0-7506-5914-7
 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]
 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
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 5]
 J. N. Cotton, M. B. Wilamowski, "Compensation of Sensors Nonlinearity with Neural Networks" // Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications pp. 1210-1217. 2010.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 15]
 Yu Hen Hu, Jenq-Neng Nwang. "Handbook of Neural Network Signal Processing." - CRC Press, 2002. p. 408. ISBN 0-8493-2359-2
 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.
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 28]
 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
 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.
 Michie D., Spiegelhalter D.J., Taylor C.C. Machine Training, Neural and Statistical Classification / New York: Ellis Horwood, 1994. 290 p.
 H. Zhang, M. Balaban, J. Principe, "Improving pattern recognition of electronic nose data with time-delay neural networks", Sensors and Actuators B, Vol. 96, No. 1-2, 2003, pp. 385-389.
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 48]
 Si photodiode S2592/S3477 series - Hamamatsu. [Online] Available: Temporary on-line reference link removed - see the PDF document
 Fraden J. Handbook of Modern Sensors: Physics, Designs, and Applications, Springer, 2010, 663p.
[CrossRef] [Web of Science Times Cited 215]
 Kroese B. An introduction to Neural Networks. Amsterdam: University of Amsterdam, 1996, 120p. [Online] Available: Temporary on-line reference link removed - see the PDF document
 Haykin S. Neural networks. Macmillan College Publishing Company, Inc., New York, 1994. ISBN 0-02-352761-7, 696p.
 E. Brignell, "Digital compensation of sensors", Scientific Instruments. Vol. 20, N 9, 1987, pp. 1097-1102.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 29]
 Taner A., Brignell J., Virtual instrumentation and intelligent sensors, Sensors and Actuators A: Physical, Vol. 61, No. 1-3. 1997, pp. 427-430.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 25]
Web of Science® Citations for all references: 453 TCR
SCOPUS® Citations for all references: 317 TCR
Web of Science® Average Citations per reference: 17 ACR
SCOPUS® Average Citations per reference: 12 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 2021-01-20 04:06 in 72 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.