DocumentCode :
2008679
Title :
Intelligent autopilot for remote classroom: A cloud based solution
Author :
Inoue, Akira ; Schlittenhart, I.
Author_Institution :
Eastern Washington Univ., Spokane, WA, USA
fYear :
2012
fDate :
20-24 Nov. 2012
Firstpage :
1414
Lastpage :
1419
Abstract :
We present a work in progress on a cloud based intelligent autopilot system for remote classrooms to improve the remote classroom experience through better social presence and personal interaction. This cloud based autopilot system connects remote classrooms through an easy-to-use autoconfiguring software interface. Rather than running complex software at the remote classroom location, our system connects the classrooms directly but monitors communications and acts as a Computational Intelligence system using a so-called Perceptual State Machine, otherwise known as a finite state machine. This Perceptual State Machine makes use of fuzzy classifiers as its transition functions. This paper describes the technical aspects of this cloud based solution, some of its features and reports our most recent model for development.
Keywords :
cloud computing; computer aided instruction; finite state machines; fuzzy set theory; autoconfiguring software interface; cloud based intelligent autopilot system; cloud based solution; complex software; computational intelligence system; finite state machine; fuzzy classifiers; perceptual state machine; personal interaction; remote classroom experience; remote classroom location; transition function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
Type :
conf
DOI :
10.1109/SCIS-ISIS.2012.6505375
Filename :
6505375
Link To Document :
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