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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 »


    
 

  1/2013 - 8

Novel Interface for Simulation of Assembly Operations in Virtual Environments

CRACIUN, E.-G. See more information about CRACIUN, E.-G. on SCOPUS See more information about CRACIUN, E.-G. on IEEExplore See more information about CRACIUN, E.-G. on Web of Science, GRISONI, L. See more information about  GRISONI, L. on SCOPUS See more information about  GRISONI, L. on SCOPUS See more information about GRISONI, L. 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, RUSU, I. See more information about RUSU, I. on SCOPUS See more information about RUSU, I. on SCOPUS See more information about RUSU, I. 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 (812 KB) | Citation | Downloads: 381 | Views: 2,571

Author keywords
assembly operation, assembly simulation, gesture interface, interaction, virtual environment

References keywords
recognition(11), vision(8), user(8), virtual(6), tracking(6), human(6), technology(5), systems(5), pattern(5), interface(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-02-28
Volume 13, Issue 1, Year 2013, On page(s): 47 - 52
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.01008
Web of Science Accession Number: 000315768300008
SCOPUS ID: 84875351874

Abstract
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The objective of this paper is to propose a new interface based on human gestures for simulation of assembly operation inside virtual environments. Using as a guide the current context for assembly simulation, we have analyzed the existing techniques used in developing gesture-based interface and extracted the constituent elements for an assembly gesture interface. The interface we propose offers support for assembly/disassembly operation, replace or delete components inside a virtual scene. To improve the current practice in virtual assembly simulation, our interface is an efficient method for assembly operations and a competitive approach for the current assembly simulation techniques.


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

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References Weight

Web of Science® Citations for all references: 9,834 TCR
SCOPUS® Citations for all references: 14,043 TCR

Web of Science® Average Citations per reference: 273 ACR
SCOPUS® Average Citations per reference: 390 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 2018-10-12 11:09 in 185 seconds.




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


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