Research on Teaching Resources Sharing Mechanism of Higher Education Park

DOI

10.2991/emcs-16.2016.83How to use a DOI?

Keywords

Higher Education Park; Teaching resources; Sharing mechanism; Resource sharing

Abstract

This paper presents the relationship between timing and level using Bayesian model for sensor network node failure prediction methods, combined with each node sensor network processing information, the use of qualitative analysis time information will be integrated into the node to analyze the fault propagation mechanism and failure prediction ; according to the probability of failure history information node and the current operating conditions, forecasts and determination nodes, using the parameters of learning and probabilistic reasoning, predict the probability of failure of the upper node. Through simulation analysis, and comparative analysis with other forecasting methods to verify the accuracy and precision of the method for sensor network node failure prediction provides new ideas and methods.

Copyright

© 2016, 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  - Yongqiang He
AU  - Qin Qin
PY  - 2016/01
DA  - 2016/01
TI  - Research on Teaching Resources Sharing Mechanism of Higher Education Park
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 346
EP  - 349
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.83
DO  - 10.2991/emcs-16.2016.83
ID  - He2016/01
ER  -