Click to open the HelpDesk interface
AECE - Front page banner



JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Aug 2017
Next issue: Nov 2017
Avg review time: 75 days


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


1,714,430 unique visits
Since November 1, 2009

No robots online now


SCImago Journal & Country Rank

SEARCH ENGINES - Google Pagerank


Anycast DNS Hosting

 Volume 17 (2017)
     »   Issue 3 / 2017
     »   Issue 2 / 2017
     »   Issue 1 / 2017
 Volume 16 (2016)
     »   Issue 4 / 2016
     »   Issue 3 / 2016
     »   Issue 2 / 2016
     »   Issue 1 / 2016
 Volume 15 (2015)
     »   Issue 4 / 2015
     »   Issue 3 / 2015
     »   Issue 2 / 2015
     »   Issue 1 / 2015
 Volume 14 (2014)
     »   Issue 4 / 2014
     »   Issue 3 / 2014
     »   Issue 2 / 2014
     »   Issue 1 / 2014
  View all issues  


ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
Issue 3/2016



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.

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

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.

We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

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.

Read More »


  3/2009 - 13

The Unit Histogram Concept for Scarce Statistical Information

RUGESCU, R. D. See more information about RUGESCU, R. D. on SCOPUS See more information about RUGESCU, R. D. on IEEExplore See more information about RUGESCU, R. D. 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 (480 KB) | Citation | Downloads: 709 | Views: 3,205

Author keywords
unit histogram, scarce population statistics, squeezed information, unit filter

References keywords
processing(6), histograms(6), time(4), statistics(4), signal(4), analysis(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2009-10-26
Volume 9, Issue 3, Year 2009, On page(s): 68 - 74
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.03013
Web of Science Accession Number: 000271872000013
SCOPUS ID: 77954753836

Quick view
Full text preview
The new unit histogram concept is described as increasing with one order of magnitude the amount of statistical information extracted from experimental data. The new statistical technology is particularly suited for very scarce population samples, when it dramatically increases the information extracted from the available data. Otherwise, existing features of the population would remain inaccessible. The method could prove useful also for signal processing, when a high level of accuracy in detail rendition is required. The efficiency of the method is demonstrated in examples of experimental measurement of the combustion heat delivered by rocket propellants. Populations as small as of six readings, where the regular statistics is useless, are successfully processed and characterized.

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

[1] Allen, J.B. and L.R. Rabiner, "A unified approach to short-time Fourier analysis and synthesis", Proceedings of the IEEE, ISSN 0018-9219, 65, Issue 11(1977), pp. 1558-1564

[2] Amabile, T., "Describing distributions, Consortium for Mathematics and Its Applications", Chedd- Angier Production Co., 59 min. Videorecording, KAMU-TV, College Station, Texas USA, 1989

[3] Apostolescu, N. and D. Taraza, "Basics of experimental research in thermal machines", pp. 443-472. Ed. D. P., Bucharest 1979

[4] Austin, J.D., D.W. Scott, "Beyond histograms: average shifted histograms", Math. Comput. Educ., 25, 1(1991), pp. 42-52

[5] Bajramovic, F., Ch.Grassl and J. Denzler, "Efficient Combination of Histograms for Real-Time Tracking Using Mean-Shift and Trust-Region Optimization", in Kropatsch, W. Sablatnig, R., Hanbury, A. (Eds.): DAGM 2005, LNCS 3663, Springer-Verlag Berlin Heidelberg 2005, pp. 254-261

[6] Basseville, M., "Signal Processing", 18(1989), pp. 349-369
[CrossRef] [Web of Science Times Cited 258] [SCOPUS Times Cited 314]

[7] Berghaus, D., "Numerical Methods for Experimental Mechanics", Kluwer Acad. Publ., ISBN 0-7923-7403-7Dordrecht, 312 p. 2001 [PermaLink]

[8] Brdiczka, O., J. Maisonnasse, P. Reignier and J.L. Crowley, "10th Int. Conf. KES 2006", Bournemouth, UK, Oct. 9-11, 2006, Part II, Springer ISBN 978-3-540-46537-9, p. 162 [PermaLink]

[9] Brunelli, R. and D. Falavigna, "Person Identification Using Multiple Cues", 17, 10, pp. 955-966, 1995
[CrossRef] [Web of Science Times Cited 261] [SCOPUS Times Cited 375]

[10] Ciochina, S., "Numerical Processing of Signals, Chapter 10: Fast Algorithms to Perform Convolution and the Discrete Fourier Transform", University Politehnica of Bucharest (in Romanian), 2006, site address:

[11] Cook, N.H. and E. Rabinovicz, "Physical Measurement and Analysis", p.29-68. Addison-Wesley Publishing Co., Reading, Massachusetts, 1963 [PermaLink]

[12] Coolidge, F.L., "Statistics: a gentle introduction", 2nd ed., Sage Publications ISBN 1412924944, Thousand Oaks, CA, 2006 [PermaLink]

[13] El-Samahy, E., M. Mahfouf and D.A. Linkens, "Artificial Intelligence in Medicine 38", pp. 257-274, 2006
[CrossRef] [PubMed] [Web of Science Times Cited 4] [SCOPUS Times Cited 7]

[14] Fuchs, D., Z. He and B.S. Lee, "Info. Sci. 177", pp. 680-702, 2007
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 11]

[15] Gibbons, Ph. B., Y. Matias and V. Poosala, "ACM Transactions on Database Systems", 27, 3(Sept. 2002), pp. 261-298
[CrossRef] [Web of Science Times Cited 39] [SCOPUS Times Cited 65]

[16] Gish, H., J. Makhoul and S. Roucos, "Vector quantization in speech coding", Proc. IEEE, 73, 11, pp. 1551-1588, 1985
[CrossRef] [Web of Science Times Cited 370] [SCOPUS Times Cited 463]

[17] Griffin, D. and L. Jae., "Signal estimation from modified short-time Fourier transform", IEEE Transactions on Signal Processing, ISSN 0096-3518, 32, Issue 2(1984), pp. 236-243

[18] Hamming, R.W., "Numerical methods for scientists and engineers. International Series in Pure and Applied Mathematics", McGraw-Hill Book Co., Inc., New York-San Francisco, Calif.-Toronto-London, xvii+411 p., 1962

[19] Hamalainen, J.S., "IEE Proc.-Sci. Meas.", Technol., 151, 6 (Nov. 2004), pp. 492-495

[20] Harris, F.J., "On the use of windows for harmonic analysis with the discrete Fourier transform", Proc. IEEE, 66, 1, pp. 51-83, 1978
[CrossRef] [Web of Science Times Cited 3115] [SCOPUS Times Cited 3785]

[21] Jackson, L.B., "Digital Filters and Signal Processing", Boston, MA: Kluwer A.P, pp. 85-92, 1986

[22] Juhee, S., "Bootstrapping in a high dimensional but very low sample size problem", Ph. D. Thesis, Texas A&M University, USA, 2006

[23] Lam, E. and K. Salem, "Proceedings of the 9th International Database Engineering & Application Symposium", (IDEAS-2005)

[24] Lobos, T. and J. Rezmer, "Real-Time Determination of Power Systems", Proceedings of the lEEE Instrumentation and Measurement Technology Conference, Brussels, Belgium, June 4-6, 1996, pp. 756-761

[25] Lu, Z.-M., H. Burkhardt, "Electronics Letters", 18th August 2005 41, 17

[26] Matusita, K., "The Annals of Mathematical Statistics", 26, 4 (Dec. 1955), pp. 631-640

[27] Obraztsov, S.M., Yu.V. Konobeev, G.A. Birzhevoy and V.I. Rachkov. J. "Nucl." Mat., 359(2006), pp.263-267

[28] Plackett, R.L. J. Amer, "Statistic. Assoc.", 60, No. 310 (June 1965), p. 516

[29] Rubner, Y., C. Tomasi, and L.J. Guibas, "A Metric for Distributions with Applications to Image Databases", pp. 59-66, 1998

[30] Rugescu, R. D., "Revista de Chimie", ISSN 0034-7752, Ed. Chiminform Data S. A., 59, 6(2007), pp. 579-581

[31] Rugescu, R. D., V. Silivestru, and S. Aldea, "Natural Histogram for High Definition Data Statistics", Paper KD-005681-4610, Proceedings of the 6th IEEE International Conference on Industrial Informatics, INDIN-2008, 13-16 July, Daejeon, Korea (CD, pp. NA)

[32] Serratosa, F. and A. Sanfeliu, "N. Computer Sci.", 3773; 10th Iberoamerican Congress on Pattern Recognition, CIARP-2005, p. 1027

[33] Su, Y.T. and Ju-Ya Chen, " ", IEEE Transactions on communications, 48, 8(Aug. 2000), pp. 1338-1346

[34] Wang, Jung-Hua, Liu, Wen-Jeng, and Lin, Lian-Da, "Histogram-Based Fuzzy Filter for Image Restoration", IEEE Transactions on Systems, Man, and Cybernetics—Part B, Cybernetics, Vol. 32, No. 2, April 2002

[35] Wilcox, R.R., "Applying contemporary statistical techniques", Academic Press ISBN 0127515410, San Diego, CA

[36] Xiaoli, Li., "Lecture Notes in Computer Science/Neural Information Processing", Springer-Verlag, Volume 4234/2006, (The 13th International Conference on Neural Information Processing-ICONIP2006, HK. 2006 Oct.3-6.), pp. 66-73

[37] Yu, L. and E.O. Voit, "Computational Statistics & Data Analysis", 51, 2006, pp. 1822-1839

[38] Cha, Sung-Hyuk, Srihari, Sangur N., "On measuring the distance between histograms", Pattern recognition, 35(2002), pp. 1355-1370

[39] Serratosa, F., and Sanfeliu, A., "A Fast and Exact Modulo-Distance Between Histograms", D.-Y. Yeung et al. (Eds.): SSPR&SPR 2006, LNCS 4109, pp. 394-402, 2006

[40] Serratosa, F., and Sanfeliu, A., "Signatures versus histograms: Definitions, distances and algorithms", Pattern recognition, 39(2006), pp. 921-934

References Weight

Web of Science® Citations for all references: 4,054 TCR
SCOPUS® Citations for all references: 5,020 TCR

Web of Science® Average Citations per reference: 101 ACR
SCOPUS® Average Citations per reference: 126 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 2017-09-17 23:17 in 116 seconds.

Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2017
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.

Website loading speed and performance optimization powered by: