A Remote Educational Video Dynamic Image Sharp Processing Algorithm

摘要：

　　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 networks 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.

关键词： Distance education Network fault Neural network

作者: Tang Qianjun Zhang Yan

作者单位: Physical and Electronic Engineering School,Leshan Normal College Leshan,Si Chuan,China 614000

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 1888-1892

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）