Survival Situation Awareness Based on Multi-feature Fusion

被引:0
|
作者
Zhao, Jinhui [1 ,2 ]
Shuo, Liangxun [2 ]
Qian, Xu [1 ]
机构
[1] China Univ Min & Technol, Sch Mech Elect & Informat Engn, Beijing, Peoples R China
[2] Shijiazhuang Univ Econ, Network Informat Secur Lab, Beijing, Peoples R China
来源
INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4 | 2013年 / 241-244卷
关键词
Multi-feature Fusion; Variable Fuzzy set; Survival Situation; Situation Awareness; Situation Prediction;
D O I
10.4028/www.scientific.net/AMM.241-244.2528
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A hierarchical model of survival situational awareness is proposed based on multi-feature fusion, which includes three layers: feature fusion layer, situation assessment layer and comprehensive perception layer. In the feature fusion layer, light-computation features and efficient fusion mechanisms are employed to improve degree of differentiation. Situation assessment layer adopted fusion technology of variable fuzzy set theory to improve the accuracy and objectivity of evaluation. Furthermore, time series of services are introduced to judge the safety states and predict the trends in comprehensive perception layer. Experiments indicate that proposed model is more scientific and more accurate, which is valuable for generalizations and applications.
引用
收藏
页码:2528 / +
页数:2
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