<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cardoso, T.</style></author><author><style face="normal" font="default" size="100%">P Pereira</style></author><author><style face="normal" font="default" size="100%">Fernaao Pires, V.</style></author><author><style face="normal" font="default" size="100%">J. F. Martins</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Android-based m-learning remote system for mobile power quality assessment in large buildings with renewable energies</style></title><secondary-title><style face="normal" font="default" size="100%">Power Engineering, Energy and Electrical Drives (POWERENG), 2015 IEEE 5th International Conference on</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Android (operating system)</style></keyword><keyword><style  face="normal" font="default" size="100%">Android-based m-learning remote system</style></keyword><keyword><style  face="normal" font="default" size="100%">Buildings</style></keyword><keyword><style  face="normal" font="default" size="100%">computer aided instruction</style></keyword><keyword><style  face="normal" font="default" size="100%">Data acquisition</style></keyword><keyword><style  face="normal" font="default" size="100%">Databases</style></keyword><keyword><style  face="normal" font="default" size="100%">distributed network</style></keyword><keyword><style  face="normal" font="default" size="100%">educational courses</style></keyword><keyword><style  face="normal" font="default" size="100%">energy supplier</style></keyword><keyword><style  face="normal" font="default" size="100%">Europe</style></keyword><keyword><style  face="normal" font="default" size="100%">flicker</style></keyword><keyword><style  face="normal" font="default" size="100%">harmonic distortion</style></keyword><keyword><style  face="normal" font="default" size="100%">large buildings</style></keyword><keyword><style  face="normal" font="default" size="100%">Mobile communication</style></keyword><keyword><style  face="normal" font="default" size="100%">mobile handsets</style></keyword><keyword><style  face="normal" font="default" size="100%">mobile learning</style></keyword><keyword><style  face="normal" font="default" size="100%">mobile power quality assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">poor power quality category</style></keyword><keyword><style  face="normal" font="default" size="100%">poor power quality events</style></keyword><keyword><style  face="normal" font="default" size="100%">power engineering education</style></keyword><keyword><style  face="normal" font="default" size="100%">Power quality</style></keyword><keyword><style  face="normal" font="default" size="100%">power quality analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">power supply quality</style></keyword><keyword><style  face="normal" font="default" size="100%">power system harmonics</style></keyword><keyword><style  face="normal" font="default" size="100%">power system reliability</style></keyword><keyword><style  face="normal" font="default" size="100%">quality of service</style></keyword><keyword><style  face="normal" font="default" size="100%">real time nonlaboratory events</style></keyword><keyword><style  face="normal" font="default" size="100%">remote computer</style></keyword><keyword><style  face="normal" font="default" size="100%">remote m-learning experimental system</style></keyword><keyword><style  face="normal" font="default" size="100%">renewable energies</style></keyword><keyword><style  face="normal" font="default" size="100%">renewable energy sources</style></keyword><keyword><style  face="normal" font="default" size="100%">smart phones</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1109/PowerEng.2015.7266356</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Riga, Latvia</style></pub-location><pages><style face="normal" font="default" size="100%">431-434</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Power Quality is a generic term focusing on several issues, going from reliability to the quality of service provided by the energy supplier. It addresses limiting aspects such as harmonic distortion, flicker, sags, swells and transients... It is important for the students to understand the differences between the large amounts of events that fit into poor power quality category. Moreover it is important for them to analyze real time non-laboratory events. To provide this experience to the students this paper presents a remote m-learning experimental system where several types of poor power quality events can be tested. The developed system is based on a power quality analysis distributed network and can be remotely accessed from a remote computer or smart phones.&lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">&lt;p&gt;DOI: 10.1109/PowerEng.2015.7266356&lt;br /&gt;
Print ISBN&lt;br /&gt;
978-1-4673-7203-9  &lt;/p&gt;
</style></notes></record></records></xml>