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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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  1/2017 - 15

Measurement of Soil Resistivity in Order to Determine the Buried Walls Trajectory

MUNTEANU, M. S. See more information about MUNTEANU, M. S. on SCOPUS See more information about MUNTEANU, M. S. on IEEExplore See more information about MUNTEANU, M. S. on Web of Science, CZUMBIL, L. See more information about  CZUMBIL, L. on SCOPUS See more information about  CZUMBIL, L. on SCOPUS See more information about CZUMBIL, L. on Web of Science, MICU, D. D. See more information about  MICU, D. D. on SCOPUS See more information about  MICU, D. D. on SCOPUS See more information about MICU, D. D. on Web of Science, BRAICU, S. F. See more information about  BRAICU, S. F. on SCOPUS See more information about  BRAICU, S. F. on SCOPUS See more information about BRAICU, S. F. on Web of Science, NEMETI, S. See more information about  NEMETI, S. on SCOPUS See more information about  NEMETI, S. on SCOPUS See more information about NEMETI, S. on Web of Science, PISLARU, M. See more information about PISLARU, M. on SCOPUS See more information about PISLARU, M. on SCOPUS See more information about PISLARU, M. on Web of Science
 
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Download PDF pdficon (1,375 KB) | Citation | Downloads: 860 | Views: 2,540

Author keywords
soil properties, geophysical measurements, electrical resistance measurements, genetic algorithms, object detection

References keywords
soil(10), power(6), potaissa(6), barbulescu(6), resistivity(5), multilayer(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-02-28
Volume 17, Issue 1, Year 2017, On page(s): 103 - 108
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.01015
Web of Science Accession Number: 000396335900015
SCOPUS ID: 85014141549

Abstract
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The importance of archaeometric investigations, performed with technical support is not only that eases the work of archaeologists, but also contributes to optimize human, financial and time resources. Thus the study highlights the results of investigation of an archaeological site from the imperial roman era through a method specific to electrical engineering. Accordingly, based on some soil resistivity measurements made in the Legionary Camp of Potaissa - fortress where the 5th Macedonian Legion camped, members of the Archaeometry Laboratory from the Technical University of Cluj-Napoca were able to identify and establish the trajectory of buried walls that were marking the specific construction of the barracks belonging to the troops in Cohors I Miliaria. In order to perform this task, a genetic algorithm based technique was used to determine the different soil layers.


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

[1] M. Barbulescu, "Din istoria militara a Daciei romane. Legiunea V Macedonica si castrul de la Potaissa, Ed. Dacia, pp. 5-200, 1987

[2] C. Barbulescu, "Arhitectura militara si tehnica de constructie la romani. Castrul de la Potaissa", pp. 5-99, Ed. Napoca Star, 2004

[3] M. Barbulescu, Mormantul princiar germanic de la Turda (Das germanische Fürstengrab von Turda), pp.7-380, Ed. Tribuna, 2008

[4] M. Pislaru, "The Roman Coins from Potaissa. Legionary Fortress and Ancient Town", pp. 25-150, Ed. Mega, 2009

[5] M. Barbulescu, "Inscriptiile din Castrul Legionar de la Potaissa (The Inscriptions of the Legionary Fortress at Potaissa)", pp. 5-280, Ed. Academiei Romane, 2012

[6] M. Barbulescu, A. Catinas, C. Luca, A. Husar, P. Huszarik, M. Grec, C. Barbulescu, "The Baths of the Legionary Fortress at Potaissa", Proc. of the 17th International Congress of Roman Frontier Studies, Ed. Limes, pp. 431-441, 1999

[7] G. Papaiz-Garbini, L. Pichon, M. Cucchiaro, "Multilayer ground determination from apparent resistivities and impact on grounding resistances", in Proc. of the 2014 International Symposium on Electromagnetic Compatibility, Tokyo (EMC'14/Tokyo), Tokyo, Japan, May 12-16, 2014, [Online] Available: Temporary on-line reference link removed - see the PDF document

[8] R. D. Southey, M. Siahrang, S. Fortin, F. P. Dawalibi, "Using Fall-of-Potential Measurements to Improve Deep Soil Resistivity Estimates , IEEE Transactions on Industry Applications, vol. 51, no. 6, pp. 5023 - 5029, 2015,
[CrossRef] [Web of Science Times Cited 18]


[9] M. Nayel, B. Lu, Y. Tian, Y. Zhao, "Study of Soil Resistivity Measurements in Vertical Two-Layer Soil Model", Proc. of the 2012 Asia-Pacific Power and Energy Engineering Conference, pp. 1-5, 2012,
[CrossRef]


[10] H. Yang, J. Yuan, Y. Zong, "Determination of three-layer earth model from Wenner four-probe test data", IEEE Transaction on Magnetics, vol. 37, no. 5, pp. 3684-3687, 2001,
[CrossRef]


[11] M. Zhou, J. Wang, L. Cai, Y. Fan, Z. Zheng, "Laboratory Investigations on Factors Affecting Soil Electrical Resistivity and the Measurement", IEEE Transactions on Industry Applications, vol. 51, no. 6, pp. 5358 - 5365, 2015,
[CrossRef] [Web of Science Times Cited 45]


[12] D. Stet, L. Czumbil, D.D. Micu, V. Topa, L. Ancas, "Stream Gas Pipeline in Proximity of High Voltage Power Lines. Part I - Soil Resistivity Evaluation", in Proc. of the 47th International Universities' Power Engineering Conference, (UPEC), London, UK, September 4-7, 2012,
[CrossRef]


[13] I. F. Gonos, I. A. Stathopulos, "Estimation of multilayer soil parameters using genetic algorithms", IEEE Transactions on Power Delivery, vol. 20, no. 1, pp. 100 - 106, 2005,
[CrossRef] [Web of Science Times Cited 92]


[14] H. Eroglu, M. Aydin, "Genetic algorithm in Electrical Transmission Lines path finding problems", in Proc. of the 8th International Conference on Electrical and Electronics Engineering, (ELECO), Bursa, Turkey, November 28-30, 2013,
[CrossRef]


[15] G. Gilbert, Y. L. Chow, D. E. Bouchard, M. M. A. Salama, "Soil model determination using asymptotic approximations to Sunde's curves", in Proc. of the 2010 IEEE PES Transmission and Distribution Conference and Exposition, New Orleans, USA, April 19-22, 2010.
[CrossRef]


[16] W. P. Calixto, A. P. Coimbra, J. P. Molin, A. Cardoso, L. M. Neto, "3-D Soil Stratification Methodology for Geoelectrical Prospection", IEEE Transaction on Power Delivery, vol. 27, no. 3, pp. 1636-1643, 2012,
[CrossRef] [Web of Science Times Cited 12]


[17] A. C. B. Alves, R. P. Marinho, G. A. A. Brigatto, L. P. Garces, "Multilayer Stratification Earth by Kernel Function and Quasi-Newton Method", IEEE Latin America Transactions, vol. 14, no. 1, pp. 225-234, 2016.
[CrossRef]


[18] W. R. Pereira, M. G. Soares, L. M. Neto, "Horizontal Multilayer Soil Parameter Estimation Through Differential Evolution", IEEE Transactions on Power Delivery, vol. 31, no. 2, pp. 622-629, 2016,
[CrossRef] [Web of Science Times Cited 31]


[19] R. L. Haupt, D. H. Wernwr, Genetic Algorithms in Electromagnetics, Ed. IEEE Press, Wiley-Interscience, pp. 5-290, 2007

[20] Y. Song, Z. Bi, K. Liu, "Method for Soil Resistivity Measurement Based on Neural Network", Proc. of the Third International Conference on Natural Computation (ICNC 2007), vol. 3, pp. 301-305, 2007,
[CrossRef]




References Weight

Web of Science® Citations for all references: 198 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 9 ACR
SCOPUS® Average Citations per reference: 0

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 2024-04-16 11:28 in 69 seconds.




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