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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  4/2011 - 19
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A Low Cost Approach to Large Smart Shelf Setups

HREBENCIUC, F. See more information about HREBENCIUC, F. on SCOPUS See more information about HREBENCIUC, F. on IEEExplore See more information about HREBENCIUC, F. on Web of Science, STROIA, N. See more information about  STROIA, N. on SCOPUS See more information about  STROIA, N. on SCOPUS See more information about STROIA, N. on Web of Science, MOGA, D. See more information about  MOGA, D. on SCOPUS See more information about  MOGA, D. on SCOPUS See more information about MOGA, D. on Web of Science, BARABAS, Z. See more information about BARABAS, Z. on SCOPUS See more information about BARABAS, Z. on SCOPUS See more information about BARABAS, Z. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,374 KB) | Citation | Downloads: 1,230 | Views: 3,181

Author keywords
antenna radiation pattern, inventory management, radiofrequency identification, RFID tag, microcontroller

References keywords
rfid(41), antenna(16), antennas(11), smart(10), systems(9), frequency(9), technology(8), loop(8), propagation(7), high(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 117 - 122
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04019
Web of Science Accession Number: 000297764500019
SCOPUS ID: 84856609401

Abstract
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Recent years showed a growing interest in the use of RFID technology in applications like distribution and storage of goods, supply chain and inventory. This paper analyses the current smart shelf solutions and presents the experience of developing an automatic reading system for smart shelves. The proposed system addresses the problem of reading RFID tags from items placed on multiple shelves. It allows the use of standard low cost readers and tags and uses a single antenna that can be positioned in specific locations at repeatable positions. The system proposes an alternative to the approaches with multiple antennas placed in fixed position inside the shelf or around the shelves, offering a lower cost solution by means of dedicated electromechanical devices able to carry the antenna and the reader to the locations of interest along a rail system. Moreover, antenna position can be controlled for three axis of movement allowing for extra flexibility and complete coverage of the shelves. The proposed setup is a fully wireless one. It contains a standard reader, electromechanical positioning actuators and wireless communication and control hardware offering power from integrated batteries.


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References Weight

Web of Science® Citations for all references: 187 TCR
SCOPUS® Citations for all references: 628 TCR

Web of Science® Average Citations per reference: 4 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 2017-10-23 10:39 in 237 seconds.




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