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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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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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  2/2017 - 3

Software Architecture Design for Spatially-Indexed Media in Smart Environments

SCHIPOR, O.-A. See more information about SCHIPOR, O.-A. on SCOPUS See more information about SCHIPOR, O.-A. on IEEExplore See more information about SCHIPOR, O.-A. on Web of Science, WU, W. See more information about  WU, W. on SCOPUS See more information about  WU, W. on SCOPUS See more information about WU, W. on Web of Science, TSAI, W.-T. See more information about  TSAI, W.-T. on SCOPUS See more information about  TSAI, W.-T. on SCOPUS See more information about TSAI, W.-T. on Web of Science, VATAVU, R.-D. See more information about VATAVU, R.-D. on SCOPUS See more information about VATAVU, R.-D. on SCOPUS See more information about VATAVU, R.-D. on Web of Science
 
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Download PDF pdficon (2,383 KB) | Citation | Downloads: 66 | Views: 60

Author keywords
software architecture, multimedia communication, ambient intelligence, augmented reality, smart homes

References keywords
smart(19), environments(10), spaces(9), interaction(6), vatavu(5), human(5), home(5), gesture(5), computing(5), ambient(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-05-31
Volume 17, Issue 2, Year 2017, On page(s): 17 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.02003
SCOPUS ID: 85020120559

Abstract
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We introduce in this work a new software architecture design, based on well-established web communication protocols and scripting languages, for implementing spatially-indexed media in smart environments. We based our approach on specific design guidelines. Our concept of spatially-indexed media enables users to readily instantiate mappings between digital content and specific regions of the physical space. We present an implementation of the architecture using a motion capture system, a large visualization display, and several smart devices. We also present an experimental evaluation of our new software architecture by reporting response times function of changes in the complexity of physical-digital environment.


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

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References Weight

Web of Science® Citations for all references: 573 TCR
SCOPUS® Citations for all references: 1,148 TCR

Web of Science® Average Citations per reference: 16 ACR
SCOPUS® Average Citations per reference: 33 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 2017-06-20 00:27 in 218 seconds.




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


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