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JCR Impact Factor: 0.459
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Issues per year: 4
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Avg review time: 78 days


PUBLISHER

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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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
Issue 3/2016

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2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 16th of April 2017, placing "IoT - " before the paper title in OpenConf.

2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

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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: 222 | Views: 1,297

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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[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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[CrossRef] [SCOPUS Times Cited 1]


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[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: 258 TCR
SCOPUS® Citations for all references: 180 TCR

Web of Science® Average Citations per reference: 10 ACR
SCOPUS® Average Citations per reference: 7 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 2017-01-18 10:58 in 65 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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