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JCR Impact Factor: 0.595
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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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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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LATEST NEWS

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-Apr-04
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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.

2017-Jan-30
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2016-Dec-17
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.

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  4/2010 - 9

End-User Recommendations on LOGOMON - a Computer Based Speech Therapy System for Romanian Language

SCHIPOR, D. M. See more information about SCHIPOR, D. M. on SCOPUS See more information about SCHIPOR, D. M. on IEEExplore See more information about SCHIPOR, D. M. on Web of Science, PENTIUC, S. G. See more information about  PENTIUC, S. G. on SCOPUS See more information about  PENTIUC, S. G. on SCOPUS See more information about PENTIUC, S. G. on Web of Science, SCHIPOR, O. A. See more information about SCHIPOR, O. A. on SCOPUS See more information about SCHIPOR, O. A. on SCOPUS See more information about SCHIPOR, O. A. 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 (3,336 KB) | Citation | Downloads: 1,222 | Views: 2,645

Author keywords
speech therapy, personalized therapy, end-user attitude

References keywords
speech(12), therapy(10), schipor(9), system(5), pentiuc(4), dyslalia(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-11-30
Volume 10, Issue 4, Year 2010, On page(s): 57 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.04009
Web of Science Accession Number: 000284782700009
SCOPUS ID: 78649704844

Abstract
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Full text preview
In this paper we highlight the relations between LOGOMON - a Computer Based Speech Therapy System and dyslalia's training steps. Dyslalia is a speech disorder that affects pronunciation of one or many sounds. This presentation of the system is completed by a research regarding end-user (i.e. teachers and parents) attitude about the speech assisted therapy in general and about LOGOMON System in particular. The results of this research allow the improvement of our CBST system because the obtained information can be a source of adaptability to different expectations of the beneficiaries.


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

[1] R. Nickerson, D. N. Kalikow, K. N. Stevens, "Computer-aided speech training for the Deaf," Journal of Speech and Hearing Disorders, vol. 41, no. 2, pp. 120-132, 1976. [PubMed]

[2] E. Verza. The dyslalia and his therapy. E.D.P. Press, Bucharest, Romania, 1997.

[3] H. Levitt, N. S. McGarr, D. Geffner, "Communication skills of young hearing-impaired children. Development of language and communication skills in hearing-impaired children," ASHA Monographs, no. 26, pp. 123-158, 1987. [PubMed]

[4] H. Levitt, "The impact of technology on speech rehabilitation," in Proc. of ESCA Workshop on Speech and Language Technology for Disabled Persons, Stockholm, Sweden, 1993.

[5] S. G. Pentiuc, I. Tobolcea, O. A. Schipor, M. Danubianu, M. D. Schipor, "Translation of the Speech Therapy Programs in the Logomon Assisted Therapy System," Advances in Electrical and Computer Engineering, vol. 10, no. 2, pp. 48-52, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 12]


[6] I. Tobolcea. Logopaedic interventions for dyslalia's therapy. Spanda Press, Iasi, Romania, 2002.

[7] O. Balter, O. Engwall, A. M. Oster, H. Kjellstrom, "Wizard-of-Oz Test of ARTUR - a Computer-Based Speech Training System with Articulation Correction," in Proc. of the Seventh International ACM SIGACCESS Conference on Computers and Accessibility, Baltimore, 2005, pp. 36-43.

[8] O. A. Schipor, S. G. Pentiuc, M. D. Schipor, "Improving Computer Based Speech Therapy Using a Fuzzy Expert System," Computing and Informatics, vol. 29, no. 2, pp. 303-318, 2010.

[9] M. H. Zaharia, F. Leon, "Speech Therapy Based on Expert System," Advances in Electrical and Computer Engineering, vol. 9, no. 1, pp. 74-77, 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 6]


[10] O. Engwall, O. Balter, A. M. Ster, H. Kjellstrom, "Designing the user interface of the computer-based speech training system ARTUR based on early user tests," Journal of Behavioral and Information Technology, vol. 4, pp. 353-365, 2005.

[11] C. Chivu, "Applications of Speech Recognition for Romanian Language," Advances in Electrical and Computer Engineering, vol. 7, no. 1, pp. 29-33, 2007.
[CrossRef] [Full Text]


[12] I. Tobolcea, A. Karner-Hutuleac, C. Puzdriac, D. Zaharia, "The implementation of modern therapy's techniques," in Proc. of International Congress Modern Psychological Researches, Sibiu, Romania, 2008.

[13] O. A. Schipor, M. D. Schipor, "Computer Assisted Therapy of Dyslalia," in: Proc. of Knowledge Based Organization International Conference, Sibiu, Romania, 2007, Vol. 13, pp. 151-156.

[14] M. Danubianu, S. G. Pentiuc, O. A. Schipor, M. Nestor, I. Ungurean, M. D. Schipor, "TERAPERS - Intelligent Solution for Personalized Therapy of Speech Disorders," International Journal of Advances in Life Science, vol. 1, no. 1, pp. 26-35, 2009.

[15] M. H. Zaharia, "Securing Communication in Ambient Networks for Speech Therapy Systems," Advances in Electrical and Computer Engineering, vol. 7, no. 2, pp. 41-44, 2007.
[CrossRef] [Full Text]


[16] F. F. Giza, S. G. Pentiuc, O. A. Schipor, "Software Exercises for Cildren With Dyslalia," in Proc. of The Sixth International Scientific and Methodic Conference, Vinnytsia, Ukraine, 2008, pp. 317-326.



References Weight

Web of Science® Citations for all references: 12 TCR
SCOPUS® Citations for all references: 18 TCR

Web of Science® Average Citations per reference: 1 ACR
SCOPUS® Average Citations per reference: 1 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 2017-09-18 00:49 in 28 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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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.

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


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