检索结果-南通市图书馆

An efficient complex event detection model for high proportion disordered RFID event stream

International Journal of Modeling, Simulation, and Scientific Computing 2017年第4期8卷 175-189页

作者： Jianhua Wang Jun liu Tao Wang Lianglun Cheng College of Electronic Engineering South China Agricultural University Guangzhou P.R.China Guangdong Polytechnic Normal University Guangzhou P.R.China Guangdong University of Technology Guangzhou P.R.China

With the aim of solving the detection problems for current complex event detection models in detecting a related event for a complex event from the high proportion disordered RFID event stream due to its big uncertainty arrival,an efficient complex event detection model based on Extended Nondeterministic Finite Automaton(ENFA)is proposed in this *** achievement of the paper rests on the fact that an efficient complex event detection model based on ENFA is presented to successfully realize the detection of a related event for a complex event from the high proportion disordered RFID event ***,in our model,we successfully use a new ENFA-based complex event detection model instead of an NFA-based complex event detection model to realize the detection of the related events for a complex event from the high proportion disordered RFID event stream by expanding the traditional NFA-based detection model,which can effectively address the problems *** experimental results show that the proposed model in this paper outperforms some general models in saving detection time,memory consumption,detection latency and improving detection throughput for detecting a related event of a complex event from the high proportion out-of-order RFID event stream.

关键词： complex event detection model high proportion disorder event stream ENFA

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A multiple-pattern complex event matching model based on merge sharing for massive event streams

引用

International Journal of Modeling, Simulation, and Scientific Computing 2021年第4期12卷 140-155页

作者： Jianhua Wang Junhe Liu Feng Lin Jing Zhao Yongbing Long Yubin Lan College of Electronic Engineering South China Agricultural University Guangzhou GuangdongP.R.China Guangdong Laboratory of Lingnan Modern Agriculture Guangzhou GuangdongP.R.China National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology Guangzhou GuangdongP.R.China School of Computer Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798Singapore

Quickly matching the related primitive events for multiple complex events from the massive event streams usually faces with a great challenge due to the single-pattern characteristics of the existing complex event matching models. Aiming to solve the problem, amultiple-pattern complex event matching model based on merge sharing is proposed inthis paper. The achievement of the paper lies in the fact that a multiple-pattern complexevent matching model based on merge sharing is presented to successfully realize thequick matching of related primitive events for multiple complex events from the massiveevent streams. Specifically, in our scheme, we successfully use merge sharing technologyto merge all the same prefixes, suffixes or subpatterns existing in single-pattern matchingmodels into shared ones and to construct a multiple-pattern complex event matchingmodel. As a result, our proposed matching model in this paper can effectively solve theabove problem. The experimental results show that our proposed matching model in thispaper outperforms the existing single-pattern matching models in model constructionand related events matching for massive event streams.

关键词： complex event matching model merge sharing massive event streams

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

The Research of event Clause Expression Based on the SASE

The Research of EVENT Clause Expression Based on the SASE

引用

2012 2nd International Conference on Future Computers in Education (ICFCE 2012)

作者： Zheng Ming-xiu Fu Chun-chang College of Computer Science and Technology Southwest University for Nationalities

Radio Frequency IDentification technology is the key technology of the internet of things,read from the reader to dig out a large number of atomic events with complex business logic of the event data can help managers make decisions. The SASE event Language is a relatively mature complex event description language. In this article the optimization based on SASE event Language,add a number of high-level event operators to extract semantic events,and give its formal definition and application examples.

关键词： RFID Atomic events complex event

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：