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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Feb 2018
Next issue: May 2018
Avg review time: 107 days


Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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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.

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Voice Controlled Wireless Sensor Networks

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Download PDF pdficon (1,236 KB) | Citation | Downloads: 947 | Views: 2,478

Author keywords
Wireless communication, Voice recognition, Sensors and network programming

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About this article
Date of Publication: 2007-04-02
Volume 7, Issue 1, Year 2007, On page(s): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2007.01001
Web of Science Accession Number: 000259841200001

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Wireless sensor networks witnessed an increased attention over the last years due to their potential to monitor the environment. With the sensing technology of such networks large areas can be monitored and a comprehensive study of the environment be explored. Usually, handling wireless sensor networks requires prior knowledge about the technology and this represents a key issue for a first time user. This issue creates a limitation for a first time user's ability to explore the whole potential of the networks. A novel integration of wireless sensor networks technology with voice user interface technology is proposed and developed by the authors. This integration allows the creation of a new platform for developing innovative interactions between wireless sensor networks and the user regardless of their software skills. The interface is developed using the voice recognition features of the Center for Spoken Language Understanding (CSLU) toolkit to control a network of wireless sensors. The interaction between the user and sensor network is entirely through voice input. In addition, this work explores the use of voice controlled setup and management for sensor network deployment.

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

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