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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: May 2024
Next issue: Aug 2024
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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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Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

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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: 893 | Views: 2,639

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.


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Cited-By CrossRef

[1] Soil-structure interaction analysis using neural networks optimised by genetic algorithm, Beyki Milajerdi, Maede, Behnamfar, Farhad, Geomechanics and Geoengineering, ISSN 1748-6025, Issue 5, Volume 17, 2022.
Digital Object Identifier: 10.1080/17486025.2021.1940313
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