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JCR Impact Factor: 0.595
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Issues per year: 4
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Next issue: Aug 2017
Avg review time: 76 days


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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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LATEST NEWS

2017-Jun-14
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.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

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.

2017-Jan-30
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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 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  2/2014 - 4

An Optimized Indoor RFID Positioning System Using 3D Mobility Pattern

REZA, A. W. See more information about REZA, A. W. on SCOPUS See more information about REZA, A. W. on IEEExplore See more information about REZA, A. W. on Web of Science, RUI, T. T. See more information about  RUI, T. T. on SCOPUS See more information about  RUI, T. T. on SCOPUS See more information about RUI, T. T. on Web of Science, KAUSAR, A. S. See more information about KAUSAR, A. S. on SCOPUS See more information about KAUSAR, A. S. on SCOPUS See more information about KAUSAR, A. S. 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 (1,714 KB) | Citation | Downloads: 342 | Views: 1,686

Author keywords
radio frequency identification, RFID tags

References keywords
rfid(12), localization(9), research(6), progress(6), electromagnetics(6), mobile(5), indoor(5), utilizing(4), tracking(4), robotics(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 23 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02004
Web of Science Accession Number: 000340868100004
SCOPUS ID: 84901825025

Abstract
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Full text preview
Radio frequency identification (RFID) is the widely used identification system that uses radio frequency for the detection of object position. A new RFID technique for the localization of tags in a 3D space is presented in this study. According to this technique, the optimized number of mobile readers is needed to afford full coverage within a given period of time. The mobile readers are programmed in such a way that they move in a zigzag pattern for detecting the tags. The received signal strength (RSS) model is used for determining the tag positions. From the obtained results, it can be observed that the proposed model can achieve an average error distance as low as 0.27 m for a given scenario and if the obstacles are placed in the test environment, the average error distance has only increased to 0.38 m. In order to evaluate the accuracy of the proposed technique, a comparison between the existing and proposed model is presented.


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

[1] C. Xu, D. Schonfeld, A. A. Khokhar, "Localization and Trajectory Estimation of Mobile Objects Using Minimum Samples," IEEE Trans. on Vehicular Technology, vol. 58, no. 8, pp. 4439-4446, 2009.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]


[2] A. Tayebi, J. Gomez, F. M. Saez de Adana, O. Gutierrez, "The application of ray-tracing to mobile localization using the direction of arrival and received signal strength in multipath indoor environments," Progress In Electromagnetics Research, vol. 91, pp. 1-15, 2009.
[CrossRef]


[3] S. A. F. Rodriguez, V. Fremont, P. Bonnifait, V Cherfaoui, "An embedded multi-modal system for object localization and tracking," IEEE Intelligent Transportation Systems Magazine, vol. 4, no. 4, pp.42-53, 2012.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 10]


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[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 28]


[5] J. H. Sung, K. Grauman, "Reading between the Lines: Object Localization Using Implicit Cues from Image Tags," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 6, pp. 1145-1158, 2012.
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 24]


[6] J. S. Choi, H. Lee, D. W. Engels, R. Elmasri, "Passive UHF RFID-Based Localization Using Detection of Tag Interference on Smart Shelf," IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 42, no. 2, pp. 268-275, 2012.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 26]


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[CrossRef] [SCOPUS Times Cited 5]


[8] S. Anusha, S. Iyer, "RFID cover: A coverage planning tool for RFID networks with mobile readers," Dissertation paper, Indian Institute of Technology, Bombay, India, 2005.

[9] A. W. Reza, T. K. Geok, "Investigation of Indoor Location Sensing via RFID Reader Network Utilizing Grid Covering Algorithm," Wireless Personal Communication, vol. 49, pp. 67-80, 2009.
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 25]


[10] K. G. Tan, A. W. Reza, C. P. Tan, "Object tracking utilizing square grid RFID reader antenna network. Journal of Electromagnetic Waves and Applications," vol. 22, no. 1, pp. 27-38, 2008.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 22]


[11] S. A. Mitilineos, S. C. A. Thomopoulos, "Positioning accuracy enhancement using error modeling via a polynomial approximation approach," Progress in Electromagnetics Research, vol. 102, pp. 49-64, 2010.
[CrossRef] [Web of Science Times Cited 9]


[12] C. K. Seow, S. Y. Tan, "Localization of omni-directional mobile device in multipath environments," Progress In Electromagnetics Research, vol. 85, pp. 323-348, 2008.
[CrossRef] [Web of Science Times Cited 40]


[13] A. B. Martinez, S. M. Franco, J. P. Tejedor, R. M. L. Toledo, P. F. Reguero, E. J. Abril, "Indoor location based on ieee 802.11 round-trip time measurements with two-step nlos mitigation," Progress In Electromagnetics Research B, vol. 15, pp. 285-306, 2009.
[CrossRef]


[14] L. C. Mak, T.Furukawa, "A time-of-arrival-based positioning technique with non-line-of-sight mitigation using low-frequency sound," Journal of Electromagnetic Waves and Applications, vol. 22, no. 5, pp. 507-526, 2008.

[15] J. P. Tejedor, A. B. Martinez, S. M. Franco, R. M. L. Toledo, P. F. Reguero, E. J. Abril, "Characterization and mitigation of range estimation errors for an RTT-based ieee 802.11 indoor location system," Progress In Electromagnetics Research B, vol. 15, pp. 217-244, 2009.
[CrossRef]


[16] R. G. Qiu, "RFID-enabled automation in support of factory integration," Robotics and Computer-Integrated Manufacturing, vol. 23, no. 6, pp. 677-689, 2007.
[CrossRef] [Web of Science Times Cited 41] [SCOPUS Times Cited 72]


[17] K. Coyle, "Management of RFID in Libraries," The Journal of Academic Librarianship, vol. 31, no. 5, pp. 486-489, 2005.
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 49]


[18] A. Cangialosi, J. E. Monaly, S. C. Yang, "Leveraging RFID in hospitals: Patient life cycle and mobility perspectives," IEEE Communications Magazine, vol.45, no.9, pp.18-23, 2007.
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 61]


[19] G. Adams, "Pharmaceutical manufacturing: RFID - reducing errors and effort," Filtration & Separation, vol. 44, no. 6, pp. 17-19, 2007.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 16]


[20] M. Tajima, "Strategic value of RFID in supply chain management," Journal of Purchasing and Supply Management, vol. 13, no. 4, pp. 261-273, 2007.
[CrossRef] [SCOPUS Times Cited 212]


[21] A. M. Ladd, K. E. Bekris, A. Rudys, G. Marceau, L. E. Kavraki, D. S. Wallach, "Robotics-based location sensing using wireless Ethernet," Journal of Wireless Networks, vol. 11, pp. 189-204, 2005.
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[CrossRef] [Web of Science Times Cited 945] [SCOPUS Times Cited 1206]


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[CrossRef]


[24] A. W. Reza, T. K. Geok, "Objects tracking in dense reader environment utilizing grids of RFID antenna positioning," International Journal of Electronics, vol. 96, no. 12, pp. 1281-1307, 2009.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 10]


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[CrossRef] [Web of Science Times Cited 84]


[26] S. Y. Seidel, T. S. Rappaport, "914 MHz path loss prediction models for indoor wireless communications in multifloored buildings," IEEE Transactions on Antennas and Propagation, vol. 40, pp. 207-217, 1992.
[CrossRef] [Web of Science Times Cited 337] [SCOPUS Times Cited 502]




References Weight

Web of Science® Citations for all references: 1,687 TCR
SCOPUS® Citations for all references: 2,359 TCR

Web of Science® Average Citations per reference: 62 ACR
SCOPUS® Average Citations per reference: 87 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 2017-06-26 15:05 in 176 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Stefan cel Mare University of Suceava, Romania


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