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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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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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  3/2011 - 4

Evaluating GPS Data in Indoor Environments

MOTTE, H. See more information about MOTTE, H. on SCOPUS See more information about MOTTE, H. on IEEExplore See more information about MOTTE, H. on Web of Science, WYFFELS, J. See more information about  WYFFELS, J. on SCOPUS See more information about  WYFFELS, J. on SCOPUS See more information about WYFFELS, J. on Web of Science, DE STRYCKER, L. See more information about  DE STRYCKER, L. on SCOPUS See more information about  DE STRYCKER, L. on SCOPUS See more information about DE STRYCKER, L. on Web of Science, GOEMAERE, J.-P. See more information about GOEMAERE, J.-P. on SCOPUS See more information about GOEMAERE, J.-P. on SCOPUS See more information about GOEMAERE, J.-P. on Web of Science
Click to see author's profile in 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 (952 KB) | Citation | Downloads: 875 | Views: 2,749

Author keywords
context-aware services, Global Positioning System, indoor environments, radiowave propagation, satellite navigation systems

References keywords
indoor(8), strycker(6), sensor(5), navigation(5), localization(5), goemaere(5), wyffels(4), networks(4), location(4), local(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 25 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03004
Web of Science Accession Number: 000296186700004
SCOPUS ID: 80055087410

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With the latest generation of ultra-sensitive GPS-receivers, satellite signals can often be picked up even indoors, resulting in (inaccurate) indoor GPS-localization. A covered position will therefore no longer be characterized by the absence of satellite signals, creating the need for another way of categorizing this data as potentially inaccurate. This paper describes the use of GPS-based localization in an indoor environment. Only high level, generally available, GPS-data (NMEA-0183 GNSS-subset) are taken into account. Applications of ubiquitous location awareness, where the use of several RTLS (Real Time Location System) combinations is feasible, may benefit from this information to discriminate between GPS and other available localization data. A quality indicating parameter is readily available in GPS-data; the DOP (Dilution Of Precision) data field, which indicates the accuracy of the GPS localization based on the current satellite geometry. However since in indoor environments the roof and possible overlying floors often cause more signal attenuation compared to (outer) walls or windows, the probability of a better reception of 'low' orbiting satellite signals increases, giving rise to an unjustified good horizontal DOP value. Standard NMEA-0183 GPS strings are therefore analyzed in search of other indicators for malicious GPS-data.

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

[1] J. Wyffels, M. Craeynest, and L. De Strycker, "Scala system convergence in applications of location awareness," Poster, May 2010, iDTechEx's Energy Harvesting and StorageEurope 2010 and Wireless Sensor Networks & RTLS Summit.

[2] A. Van Nieuwenhuyse, G. Ottoy, J.-P. Goemaere, and L. De Strycker,"Indoor localisation techniques: Comparison between the use of rss and toa," in Proceedings of the European Conference on the Use of Modern Information and Communication Technologies ECUMICT 2008, L. D. Backer, Ed., 2008.

[3] A. Van Nieuwenhuyse, J. Wyffels, J.-P. Goemaere, L. De Strycker, and B. Nauwelaers, "Time of arrival based on chirp pulses as a means to perform localization in ieee 802.15.4a wireless sensor networks," in International Conference on Development and Application Systems, 2010. [Local Repository]

[4] A. Van Nieuwenhuyse, J. Wyffels, J.-P. Goemaere, L. De Strycker, B. Nauwelaers, "Time of Arrival Based on Chirp Pulses as a means to Perform Localization in IEEE 802.15.4a Wireless Sensor Networks," Advances in Electrical and Computer Engineering, vol. 10, no. 2, pp. 65-70, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 5]

[5] K. D'hoe, G. Ottoy, J.-P. Goemaere, L. De Strycker, "Indoor Room Location Estimation," Advances in Electrical and Computer Engineering, vol. 8, no. 2, pp. 78-81, 2008. [Online].
[CrossRef] [Full Text] [Web of Science Times Cited 9] [SCOPUS Times Cited 12]

[6] J. Wyffels, H. Motte, L De Strycker, J.-P. Goemaere and B. Nauwelaers, "Improving RSS-based Indoor Localization by Means of Dead-Reckoning Techniques," in Proc. International Conference on Positioning and Context-Awareness POCA 2011

[7] K. Pahlavan, X. Li, and J. P. Makela, "Indoor geolocation science and technology," IEEE Mobile Communications, vol. 40, no. 2, pp. 112-118, 2002.
[CrossRef] [Web of Science Times Cited 409] [SCOPUS Times Cited 608]

[8] S. Beauregard, Widyawan, and M. Klepal, "Indoor pdr performance enhancement using minimal map information and particle filters," in Proc. IEEE/ION Position, Location and Navigation Symp, 2008, pp. 141-147.
[CrossRef] [SCOPUS Times Cited 89]

[9] C. Morelli, M. Nicoli, V. Rampa, U. Spagnolini, and C. Alippi, "Particle filters for rss-based localization in wireless sensor networks: An experimental study," in Proc. IEEE Int Acoustics, Speech and Signal Processing Conf. ICASSP 2006, vol. 4, 2006.

[10] Sleewaegen, J.-M. and Boon, F. (2001) "Mitigating Short-Delay Multipath: a Promising New Technique". Proceedings of the Institute of Navigation's ION GPS [Local Repository]

[11] Vittorini, L.D. and Robinson, B. (2003) "Optimizing Indoor GPS Performance" GPS world, November 2003 pp 40-48.

[12] Van Diggelen (2002) "Indoor GPS Theory and implementation". IEEE Position, Location and Navigation Symposium.
[CrossRef] [Web of Science Times Cited 3]

[13] Dedes, G. and Dempster, A.G. (2005) "Indoor GPS Positioning Challenges and Opportunities".62nd IEEE Vehicular Technology Conference, pp 412-415.
[CrossRef] [SCOPUS Times Cited 55]

[14] U-Blox AG (2004), "ANTARIS SuperSense. - Application Note"

[15] Plets, D.; Joseph, W.; Verloock, L.; Tanghe, E.; Martens, L.; Deventer,E. and Gauderis, H. (2008) "Inuence of building type on penetration loss in UHF band for 100 buildings in Flanders", IEEE Antennas and Propagation Society International Symposium.
[CrossRef] [SCOPUS Times Cited 3]

[16] U-Blox AG (2008), "NMEA, UBX Protocol Specification" [Local Repository]

[17] U-Blox AG - Zogg, J.-M. (2007), "Essentials of Satellite Navigation. -compendium" [Local Repository]

References Weight

Web of Science® Citations for all references: 425 TCR
SCOPUS® Citations for all references: 772 TCR

Web of Science® Average Citations per reference: 24 ACR
SCOPUS® Average Citations per reference: 43 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

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