TELKOMNIKA Telecommunication, Computing, Electronics and Control
Mobile learning architecture using fog computing and adaptive data streaming

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Mobile learning architecture using fog computing and adaptive data streaming

CNN, Data streaming, Deep learning, Mobile learning

With the huge development in mobile and network fields, sensor
technologies and fog computing help the students for more effective learning, flexible and in and effective manner from anywhere. Using the mobile device for learn encourage the transition to mobile computing (cloud and fog computing) which is led to the ability to design customized system that help student to learn via context aware learning which can be done by set the user preference and use proper methods to show only related manner subject. The presented study works on developing a system of e-learning which has been on the basis of fog computing concepts with deep learning approaches utilized for classification to the data content for accomplishing the context aware learning and use the adaptation of video quality using special equation
and the data encrypted and decrypted using 3DES algorithm to ensure
the security side of the operation.

Shymaa Mohammed Jameel, Muayad Sadik Croock

DOI: 10.12928/TELKOMNIKA.v18i5.16712

Universitas Ahmad Dahlan

October 2020

Sri Wahyuni

ISSN: 1693-6930

http://journal.uad.ac.id/index.php/TELKOMNIKA

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TELKOMNIKA Telecommunication, Computing, Electronics and Control