Mobile learning architecture using fog computing and adaptive data streaming
| Autor: | Muayad Sadik Croock, Shymaa Mohammed Jameel |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Multimedia
Computer science business.industry Deep learning Mobile learning Mobile computing Context (language use) Cloud computing computer.software_genre Encryption Video quality Data streaming Artificial intelligence Electrical and Electronic Engineering Adaptation (computer science) business computer Mobile device CNN |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|