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FACTS & FIGURES

JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Aug 2018
Next issue: Nov 2018
Avg review time: 82 days


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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LATEST NEWS

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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-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.

Read More »


    
 

  2/2015 - 6

Consistency Analysis of Ultrasound Echoes within a Dual Symmetric Path Inspection Framework

VASILE, C. See more information about VASILE, C. on SCOPUS See more information about VASILE, C. on IEEExplore See more information about VASILE, C. on Web of Science, STAMATESCU, G. See more information about  STAMATESCU, G. on SCOPUS See more information about  STAMATESCU, G. on SCOPUS See more information about STAMATESCU, G. on Web of Science, SGARCIU, V. See more information about  SGARCIU, V. on SCOPUS See more information about  SGARCIU, V. on SCOPUS See more information about SGARCIU, V. on Web of Science, IOANA, C. See more information about IOANA, C. on SCOPUS See more information about IOANA, C. on SCOPUS See more information about IOANA, C. 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 (1,215 KB) | Citation | Downloads: 229 | Views: 1,510

Author keywords
non-destructive testing, automated inspection, matched filtering, echo analysis, signal processing

References keywords
ultrasound(8), ultrasonics(6), tuffc(6), frequency(6), ferroelectrics(6), control(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 45 - 50
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02006
Web of Science Accession Number: 000356808900006
SCOPUS ID: 84979796984

Abstract
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Full text preview
Non-destructive ultrasound inspection of metallic structures is a perpetual high-interest area of research because of its well-known benefits in industrial applications, especially from an economic point of view, where detection and localisation of defects in their most initial stages can help maintain high production capabilities for any enterprise. This paper is aimed at providing further validation regarding a new technique for detecting and localising defects in metals, the Matched Filter-based Dual Symmetric Path Inspection (MF-DSPI). This validation consists in demonstrating the consistency of the useful ultrasound echoes, within the framework of the MF-DSPI. A description of the MF-DSPI method and the related work of the authors with it are presented in this paper, along with an experimental setup used to obtain the data with which the useful echo consistency was studied. The four proposed methods are: signal envelope analysis, L2-norm criterion, correlation coefficient criterion and sliding bounding rectangle analysis. The aim of this paper is to verify the useful echo consistency (with the help of these four approaches), as the MF-DSPI method strongly relies on this feature. The results and their implications are discussed in the latter portion of this study.


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

[1] S. Harput, JA Evans, N. Bubb and S. Freear, "Diagnostic Ultrasound Tooth Imaging using Fractional Fourier Transform" Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions, vol 58, no.10.
[CrossRef] [SCOPUS Times Cited 22]


[2] T. Misaridis and J.Jensen, "Use of modulated excitation signals in medical ultrasound. part I: basic concepts and expected benefits," Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, vol. 52, no. 2, pp. 177-191, 2005.
[CrossRef] [SCOPUS Times Cited 277]


[3] T. Misaridis and J.Jensen "Use of modulated excitation signals in medical ultrasound. part II: design and performance for medical imaging applications," Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, vol. 52, no. 2, pp. 192-205, 2005.
[CrossRef] [Web of Science Times Cited 134] [SCOPUS Times Cited 159]


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[CrossRef] [SCOPUS Times Cited 1]


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[CrossRef] [SCOPUS Times Cited 3]


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[CrossRef] [SCOPUS Times Cited 12]


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[13] J. Cornbleet and M. Shea, "Comparison of Product Moment and Rank Correlation Coefficients in the Assessment of Laboratory Method-Comparison Data", Clin.Chem, vol. 24, no. 6, pp. 857-861, 1978. Available: http://www.clinchem.org/content/24/6/857.long

[14] A. Sleit, I. Salah, R. Jabay, "Approximating images using minimum bounding rectangles", IEEE Applications of Digital Information and Web Technologies, 2008.
[CrossRef] [SCOPUS Times Cited 7]


[15] A. Aubry and A. Derode, "Multiple scattering of ultrasound in weakly inhomogeneous media: Application to human soft tissues", Acoustical Society of America, vol 129, no. 1, pp. 225-233, 2011. [
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[16] M. Bigdeli, M. Vakilian, E. Rahimpour, "A New Method for Detection and Evaluation of Winding Mechanical Faults in Transformer through Transfer Function Measurements", Advances in Electrical and Computer Engineering, pp. 23-30, Vol. 11, No. 2, 2011.
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References Weight

Web of Science® Citations for all references: 335 TCR
SCOPUS® Citations for all references: 1,071 TCR

Web of Science® Average Citations per reference: 17 ACR
SCOPUS® Average Citations per reference: 54 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 2018-10-19 10:36 in 134 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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