Data Consistence for Distributed Vision-based Traffic Surveillance Systems

被引：0

作者：

Yao, Xiaoming ^{[1
]}

Du, Wencai ^{[1
]}

Li, Taijun ^{[1
]}

Wang, Longjuan ^{[1
]}

Li, Honglei ^{[1
]}

Wu, Hanwei ^{[1
]}

Wang, Zequn ^{[1
]}

机构：

[1] Hainan Univ, Coll Informat Sci & Technol, Haikou, Hainan Province, Peoples R China

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL I | 2010年

关键词：

Data consistence; Holons; Software engineering; distributed Vision-based traffic surveillance systems;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

How to stipulate data consistence is very important when developing software packages for integrating or modifying the existing distributed vision -based traffic surveillance systems into a larger one. We extend our previous holonic architecture to verify formally the data consistence of the novel system via an intermediate modular using a STF-based set theoretical approach under the assumption that all existing subsystems are data consistent.

引用

页码：402 / 405

页数：4

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