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基于ESB的面向构件的开发模式研究
引用本文:刘素娟.基于ESB的面向构件的开发模式研究[J].教育技术导刊,2009,19(8):10-12.
作者姓名:刘素娟
作者单位:西南交通大学信息科学与技术学院;
基金项目:国家自然科学基金项目(61876195);广东省自然科学基金项目(2017A030310583);广东省教育厅特色创新项目(2019KTSCX113)
摘    要:软件构件的出现提高了软件生产的效率,同时做为SOA的核心技术的ESB提供了综合、灵活而且一致的集成方法。本文在这两种技术的基础上,提出了一种基于ESB的构件开发模式。利用该开发模式,可以快速高效地建立柔性、健壮性、鲁棒性较好的服务构件,并使构件的装配和部署进一步简化,从装配和部署角度提高软件开发的整体速度。该开发模式对各行业领域的软件和构件开发都具有实际的参考价值。

关 键 词:ESB  构件  SOA  开发模式  
收稿时间:2020-06-22

Fault Diagnosis of Probabilistic Discrete Event Systems via Convolutional Neural Network
DENG Wei-lin,JIANG Chen,LIN Sen-bin.Fault Diagnosis of Probabilistic Discrete Event Systems via Convolutional Neural Network[J].Introduction of Educational Technology,2009,19(8):10-12.
Authors:DENG Wei-lin  JIANG Chen  LIN Sen-bin
Institution:1. School of Internet Finance and Information Engineering,Guangdong University of Finance,Guangzhou 510521,China| 2. Beijing Sougou Information Service Co.,Ltd,Beijing 100084,China
Abstract:The fault diagnosis in a complete model can be well done by means of the model-based approaches. However,in some practical systems,it is hard to obtain their complete model. For the fault diagnosis of incomplete systems,the data-based approaches,such as the critical observations approach and critical tree approach,are popular. As an excellent fitting tool,convolutional neural network has been successfully applied to solve many pattern recognition issues. In this paper,we transfer the issue of fault diagnosis to the issue of text classification firstly,and then apply the convolu-tional neural network to solve this problem. The simulation experiments are performed in diagnosable systems and the results show that the diagnosis accuracy of this approach exceeds 15 percents of that of critical trees approach on average.
Keywords:probabilistic discrete event systems  fault diagnosis  convolutional neural network  
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