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JCR Impact Factor: 0.595
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Issues per year: 4
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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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FEATURED ARTICLE

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

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

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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  3/2015 - 10

Formal Specification and Verification of Real-Time Multi-Agent Systems using Timed-Arc Petri Nets

QASIM, A. See more information about QASIM, A. on SCOPUS See more information about QASIM, A. on IEEExplore See more information about QASIM, A. on Web of Science, KAZMI, S. A. R. See more information about  KAZMI, S. A. R. on SCOPUS See more information about  KAZMI, S. A. R. on SCOPUS See more information about KAZMI, S. A. R. on Web of Science, FAKHIR, I. See more information about FAKHIR, I. on SCOPUS See more information about FAKHIR, I. on SCOPUS See more information about FAKHIR, I. 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 (1,146 KB) | Citation | Downloads: 205 | Views: 866

Author keywords
formal specifications, formal verification, multiagent systems, Petri nets, real time systems

References keywords
systems(13), agent(11), multi(8), petri(5), software(4), modeling(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-08-31
Volume 15, Issue 3, Year 2015, On page(s): 73 - 78
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.03010
Web of Science Accession Number: 000360171500010
SCOPUS ID: 84940733873

Abstract
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In this study we have formally specified and verified the actions of communicating real-time software agents (RTAgents). Software agents are expected to work autonomously and deal with unfamiliar situations astutely. Achieving cent percent test cases coverage for these agents has always been a problem due to limited resources. Also a high degree of dependability and predictability is expected from real-time software agents. In this research we have used Timed-Arc Petri Net's for formal specification and verification. Formal specification of e-agents has been done in the past using Linear Temporal Logic (LTL) but we believe that Timed-Arc Petri Net's being more visually expressive provides a richer framework for such formalism. A case study of Stock Market System (SMS) based on Real Time Multi Agent System framework (RTMAS) using Timed-Arc Petri Net's is taken to illustrate the proposed modeling approach. The model was verified used AF, AG, EG, and EF fragments of Timed Computational Tree Logic (TCTL) via translations to timed automata.


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

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[15] S. Kouah, D. E. Saïdouni, J. M. Ilié, "Synchronized petri net: A formal specification model for multi agent systems," Journal of Software, vol. 8, no. 3, pp. 587-602, 2013.

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[CrossRef]


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References Weight

Web of Science® Citations for all references: 3,015 TCR
SCOPUS® Citations for all references: 4,788 TCR

Web of Science® Average Citations per reference: 144 ACR
SCOPUS® Average Citations per reference: 228 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 2017-10-16 22:50 in 98 seconds.




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


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