基于多域集成映射的飞机部件及其夹具模型

面向装配信息数据表达与飞机零部件装配夹具协同设计问题,阐述了飞机装配对象及其夹具多域集成建模过程,该建模过程给出了多域集成模型的知识框架.其次,定义各领域信息构成,全面系统地描述了装配工艺规划的所有数据.提出了装配对象与装配夹具之间互映射机理,详细阐述了互映射过程中所需的4个关键知识点.最后以翼尖小翼为实例,证明建模方法的可行性与有效性,使夹具设计更加系统化,提高了飞机结构、装配工艺规划和工装设计的协同设计效率和响应速度.

面向服务的柔性异构数据集成模型研究

为了解决多个异构遗留系统中数据的集成问题,提出了一个具有访问控制层、协同层、数据层的面向服务的柔性异构数据集成模型。访问控制层能够连接各种数据源,通过柔性操控平台对数据源和集成映射方案进行描述,采用消息机制进行消息传递。协同层对传送过来的消息进行分发执行数据同步与描述信息更新操作,消息检测器对消息进行校验和错误处理,同步检测器实时检测数据同步情况,协同反馈器对错误的消息与不同步的数据进行反馈处理,保证模型各层协同工作。数据层用来存储集成的数据、数据源描述信息、集成映射信息、异构数据类型信息。模型最终以服务的形式进行发布,可单独使用也可以进行二次开发供其他系统调用。最后,通过将该模型应用到燕山大学财务查询系统中,说明了模型的有效性。

基于比特负载的非线性虚拟光网络映射机制的研究

光网络虚拟化技术的发展促进了在不同用户和应用程序之间的光纤网络物理基础设施共享。然而,光纤传输链路的非线性损伤对于系统的频谱效率、网络利用率等性能有一定影响。本文首先介绍了一种集成式虚拟网络映射机制,描述了该机制的实现原理。接着,在考虑了光纤传输非线性损伤的情况下,设计了一种基于OFDM比特负载的虚拟光网络嵌入算法(BL-VONE),并将其与基于单一调制机制的虚拟光网络嵌入算法(UM-VONE)进行比较。仿真结果表明提出的算法相较于基于单一调制机制的算法,可以提高约9%的频谱利用率和约9%的传输效率。

ISOMAP-LDA方法用于化工过程故障诊断

针对化工连续生产过程的时序性及非线性等特征,提出一种新的基于数据驱动的化工过程故障诊断方法:ISOMAP-LDA。首先实行流形学习算法ISOMAP,在保持量测数据几何结构特性下完成非线性降维,然后基于提取的嵌入变量张成的低维空间,选用线性判别分析(LDA)构造故障模式类的判别函数,负责各采样个体故障类型的判定。将该方法用于仿真化工Tennessee East man过程的故障诊断,结果表明,ISOMAP-LDA方法不仅拥有较高的故障诊断能力,而且取得采样在低维空间的可视化表示。

Ontology based approach of semantic information integration

In order to solve the problem of semantic heterogeneity in information integration, an ontology based semantic information integration （OSII） model and its logical framework are proposed. The OSII adopts the hybrid ontology approach and uses OWL （web ontology language） as the ontology language. It obtains unified views from multiple sources by building mappings between local ontologies and the global ontology. A tree- based multi-strategy ontology mapping algorithm is proposed. The algorithm is achieved by the following four steps： pre-processing, name mapping, subtree mapping and remedy mapping. The advantages of this algorithm are： mapping in the compatible datatype categories and using heuristic rules can improve mapping efficiency; both linguistic and structural similarity are used to improve the accuracy of the similarity calculation; an iterative remedy is adopted to obtain correct and complete mappings. A challenging example is used to illustrate the validity of the algorithm. The OSII is realized to effectively solve the problem of semantic heterogeneity in information integration and to implement interoperability of multiple information sources.

Fault Diagnosis in Chemical Process Based on Self-organizing Map Integrated with Fisher Discriminant Analysis

Fault diagnosis and monitoring are very important for complex chemical process. There are numerous methods that have been studied in this field, in which the effective visualization method is still challenging. In order to get a better visualization effect, a novel fault diagnosis method which combines self-organizing map (SOM) with Fisher discriminant analysis (FDA) is proposed. FDA can reduce the dimension of the data in terms of maximizing the separability of the classes. After feature extraction by FDA, SOM can distinguish the different states on the output map clearly and it can also be employed to monitor abnormal states. Tennessee Eastman (TE) process is employed to illustrate the fault diagnosis and monitoring performance of the proposed method. The result shows that the SOM integrated with FDA method is efficient and capable for real-time monitoring and fault diagnosis in complex chemical process.

新农合药品报销目录跨省整合信息系统设计与实施

【目的】分析新农合药品报销目录存在的问题,提出整合技术路线,开发信息系统,整合多来源词表,生成国家新农合药品一体化目录。【方法】借鉴UMLS整合技术路线,采用映射的方法对多来源药品字典集成存在的问题进行解决。【结果】制定了相应的新农合药品编码目录数据结构和映射算法,完成了国家新农合一体化目录构建系统的设计与开发。【局限】药品之间相互药理作用关系还需进一步梳理完善。【结论】经过制定数据结构和映射算法对新农合目录编码进行映射,解决了构建国家新农合药品目录编码中多来源字典集成问题。