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Development of Precision Information Measuring System for Ultraviolet RadiationROSHCHUPKIN, O. , SMID, R. , SACHENKO, A. , KOCHAN, V.
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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)
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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.
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| 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 2]
 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 83] [SCOPUS Times Cited 110]
 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 2]
 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] [SCOPUS Times Cited 4]
 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 3] [SCOPUS Times Cited 10]
 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 17]
 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 32] [SCOPUS Times Cited 43]
 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 122]
 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 15] [SCOPUS Times Cited 24]
 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 15]
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