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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Nov 2017
Next issue: Feb 2018
Avg review time: 105 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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Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
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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
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

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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  2/2014 - 24

Social Networking of Instrumentation - a Case Study in Telematics

ROBU, D. See more information about ROBU, D. on SCOPUS See more information about ROBU, D. on IEEExplore See more information about ROBU, D. on Web of Science, SANDU, F. See more information about  SANDU, F. on SCOPUS See more information about  SANDU, F. on SCOPUS See more information about SANDU, F. on Web of Science, PETREUS, D. See more information about  PETREUS, D. on SCOPUS See more information about  PETREUS, D. on SCOPUS See more information about PETREUS, D. on Web of Science, NEDELCU, A. See more information about  NEDELCU, A. on SCOPUS See more information about  NEDELCU, A. on SCOPUS See more information about NEDELCU, A. on Web of Science, BALICA, A. See more information about BALICA, A. on SCOPUS See more information about BALICA, A. on SCOPUS See more information about BALICA, 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 (1,633 KB) | Citation | Downloads: 372 | Views: 1,968

Author keywords
application programming interfaces, computerized instrumentation, data acquisition, social network services, twitter

References keywords
link(14), internet(7), national(6), instruments(5), corp(5), smart(4), sensor(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 153 - 160
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02024
Web of Science Accession Number: 000340868100024
SCOPUS ID: 84901837138

Abstract
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The research work contributes to the design and implementation of the communication part for integrating remote instruments and drives via social networks (SN) into instrumentation communities. It is used the virtual instrumentation (VI) to manage objects that tweet on popular SN platforms applying the concept of the Internet of Things (IoT). Local and remote resource aggregation is based on National Instruments (NI) data acquisition and distribution hardware in a NI software environment. NI LabVIEW-for-Twitter solutions (starting with simple authentication) are extended, integrated with various third party services and validated in a complete remote monitoring proof-of-concept workbench with a closed loop for alarming-compensation. Solutions are extendible to Machine-to-Machine communication (M2M) IoT scenarios for telematics, monitoring or control, and can be connected to intelligent systems based on powerful servers for cloud computing.


References | Cited By

Cited-By ISI Web of Science

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Cited-By CrossRef

SCOPUS® Times Cited: 2
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Cited-By CrossRef

[1] Analysis of an eco-friendly sensor node powered by unconventional energy sources, Balan, Doru, Chirap, Aurel, 2014 RoEduNet Conference 13th Edition: Networking in Education and Research Joint Event RENAM 8th Conference, ISBN 978-1-4799-6861-9, 2014.
Digital Object Identifier: 10.1109/RoEduNet-RENAM.2014.6955325
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Copyright ©2001-2017
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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