A Remote Educational Video Dynamic Image Sharp Processing Algorithm

DOI

10.2991/icsem.2013.249How to use a DOI?

Keywords

Distance education, Network fault, Neural network

Abstract

In distance education network transmission process, because transmission distance is too long, transmission network will be affected by complicated external environment factors, which leads to network failure and failure in remote education video image formation, and finally causes unsmooth transmission. This paper puts forward a distributed network fault detection technology to perform fault detection for remote education transmission network nodes and characteristic analysis of the use of network fault by using genetic neural network, accurately locate fault node area so as to realize the remote education network’s fault detection. Experiments show that this method can avoid distance education network fault resulted from long transmission distance and improve the transmission efficiency of remote education video image.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qianjun Tang
AU  - Yan Zhang
PY  - 2013/04
DA  - 2013/04
TI  - A Remote Educational Video Dynamic Image Sharp Processing Algorithm
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 1164
EP  - 1168
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.249
DO  - 10.2991/icsem.2013.249
ID  - Tang2013/04
ER  -