网络图

Take a deep insight into community detection algorithms that are applied to unipartite graph and bipartite graph. We especially analyzed a greedy community detection algorithm designed by Blondel and the definition of modularity proposed by Barber.

对单元图和二分图中的社团检测算法进行研究，并着重剖析了 Blondel 等人提出的一种针对网络模块度的贪婪优化算法以及 Barber 等人提出的适用于二分图的模块度定义。

The experimental results indicate that the LMBP neural network has higher classification rate, more rapidly converge velocity by comparing with other improved BP algorithm and the Radial Basis Function neural network. Through the experiments of recognizing the sonar image polluted with Gaussian noise, it is proved that the LMBP neural network has good stability and better anti-noise performance.

通过与标准BP算法和几种常用改进型BP神经网络以及径向基函数网络比较，验证了用LMBP神经网络作为声纳图像识别系统中的分类器，能够提高图像的识别率，加快网络的收敛速度，通过对受不同程度高斯白噪声污染的声纳图象的识别，验证了其性能稳定，具有较好的抗噪声性能。

The dissertation includes the work as follows: Firstly, we present a random graph model with spatial reuse for a dense MANET which using directional antennas. The analytic formula of several important performance parameters for the MANET are obtained under the DSR routing protocol, such as the average flooding distance, the probability generating function of the flooding distance, the probability of a flooding route to be symmetrically valid, the average time to find a symmetrically valid route and the cost to successfully route a data packet to its destination. We compare the two models with spatial reuse and without spatial reuse by evaluating these parameters. It is shown that the spatial reuse model is much more effcctive in terms of the performance of the dense network with directional antenna, because the bigger is the degree of spatial reuse, the smaller is the average flooding distance.

在定向天线技术的支持下，建立了移动自组网络空间可重用的贝努利随机图模型，获得了DSR路由协议下平均泛洪距离的解析公式和泛洪距离的概率母函数：给出了有效对称路由概率、发现有效路由平均时间、成功路由代价等关键性能参数的解析分析；在网络性能参数定量分析的基础上，对空间可重用和无重用的网络进行了比较分析，结果显示空间重用度增大，则平均泛洪距离、路由发现时延、网络代价减少。

Most of community detection algorithms are used in dealing with unipartite networks, and there are few algorithms designed for detecting communities in bipartite networks, and these algorithms have some weaknesses respectively. For example, the community detection algorithm proposed by Guimera can not utilize weight information of a bipartite network; the algorithm proposed by Barber can not deal with the complex mapping situation of communities in bipartite network.

目前社团检测算法大多用于处理单元网络，而专门用于处理二分网络的社团检测算法不多，而且这些算法都存在着各自的不足之处，如 Guimera 所提的二分图社团检测算法无法处理边含权重信息的二分网络； Barber 所提的社团检测算法无法处理二分网络中具有复杂社团对应关系的情况。

Graphs are often as models for the multiprocessor interconnect networks, in which the vertex set corresponds to processors, and the edge set corresponds to communication links. In this case, some properties of the graphs correspond to the capability of the networks.

多处理机系统的互连网络拓扑通常以图为数学模型，这时图的顶点代表处理机，而一对处理机之间的直接通信联系则用连接这对顶点的边来表示，因此网络拓扑的性能可以通过图的性质和参数来度量。

We use the character of dynamic conferences, introduce verification secret key set, give the calculation formule of probability of some successful attacks in authentication schemes for dynamic confereices.

在这一部分，我们讨论了网络拓朴结构不是完全图的情形，提出了通信图认证系统，利用图的特征，得出了要使系统充分安全，各用户应掌握的密钥空间的大小，给出了一种构造通信图认证系统的方法。。

This intormation is combined in the structure of a Bayesian Graph so as to identify unknown or unpredictable faults. The final experiment results show the intelligent agent can detect network abnormal behavior before a fault actually occurs. Event correlation algorithm for network fault real-time isolation and handle uses object-oriented model method for critical network device and a novel coding scheme, even if in the case of lost alarm and wrong one, it also can identify the fault origin and automatically adapts to changes to network topology to ensure seemless scalability to large and complex network environment. Its performance greatly presides over traditional rule-based event management system.

对学习获得的信息经由贝叶斯图加以组合，从而签别未知的或不可预见的故障，实验结果表明智能监测代理系统能够在故障发生以前检测网络异常行为；用于网络故障问题实时隔离和处理的事件关联算法使用面向对象的针对的网络关键设备的建模方法和新型编码技术，即使在丢失报警和错误报警的情况下，亦能精确地标识故障源，并能自动适应网络拓扑的改变，从而保证无缝地伸缩到专用大型和复杂网络环境中，其性能大大优于传统的基于规则识别的事件关联系统。

This paper is based upon XiShan Colliery Parent Company .The data of DongQu Mine pit ventilation resistance mensuration is combined. And system theory, graph theory, ventilation network technology and computer technology are utilized. According to the reality of coalmine, we think that graph and database is incorporate in mine ventilation system. So based on this, ventilation system standard graph is founded, the tool of ventilation graph to draw is made, the ventilation network calculation is realized, the outcome of the ventilation network calculation is seen on the screen, and opaquing and inquiring of the road parameters and so on. In addition to mine ventilation drawing-database visual management system is developed.

本文基于西山煤矿总公司东曲矿〖东曲矿矿井通风网络计算机管理系统〗科研项目，结合东曲矿矿井通风阻力测定，运用系统理论、图论、通风网络技术及计算机技术，针对煤矿实际，将矿井通风系统中图形和数据库贯穿为一体，创建了通风系统标准图库并编制了通风图形绘制工具，实现了风网解算和解算结果图形显示及巷道参数的修改、查询等功能，开发了矿井通风图形数据可视化管理系统。

Self-organizing competitive neural network is used in this paper to classify dynamometer cards in fault diagnosis of sucker rod pumping system.

将自组织竞争神经网络应用于示功图的识别与分类，建立了一个自组织竞争神经网络模型对示功图进行自动聚类，从而实现故障诊断的自动化。

Main points of the thesis are as follows:(1) The main function models and information relations between these models in the CAPP system in the integrated CAD/CAM project are explained, a new process plan design method is mentioned based on analyses of process plan design. This method is based on the process plan prototype, and develops the prototype little by little until the perfect process plan is completed, the prospect of this method is discussed;(2) The feature abstracting rules and methods are studied, a feature coding system is developed based on GT, all the defined feature models are described by the mathematical methods;(3) The integrated method of CAD/CAPP based on features is mentioned, this method defines a feature exchanging model, and develops an interface software to exchange design data into technology data base, this technology data base includes the design and technology information of the parts;(4) The process plan reasoning method based on features is created, this method uses Mycin algorithm to solve the reasoning of the feature process plan. A process plan making system is developed. In this system part process plan is made by the semi-intelligent method, this method uses the feature reasoning, feature process chain searching and man-computer talking together;(5) The main structure of the HOPE system is introduced, a shaft drawing and its process plan made by this system are shown, the data process problem in process drawing making is also discussed;(6) A new method of describing process rule is introduced, this method uses IfThen rules and neural nets weight values together to describe process rules, the BP algorithm is adopted in this method;(7) The optimal machining sequence problem of the process steps on the same fixturing is discussed, optimal algorithms SA is applied to solve this problem, the result shows that this method is more efficient than the traditional method;(8) All jobs in the thesis are summarized. In order to carry out the research in the future, some rational proposals are given.

全文论述的内容主要有下列几个方面：(1)较为系统地阐述了CAD／CAM一体化工程项目中CAPP系统的主要功能模块及其信息流程，在分析工艺设计过程的基础上，提出了基于特征原型的渐进式工艺设计方法，并探讨了该方法的应用前景；(2)研究了零件特征提取的原则和方法，在成组技术的基础上，开发了一套基于特征的分类编码系统，并在提取零件特征的基础上，定义了零件特征的数据模型，开发了基于轴类零件特征的参数化设计系统；(3)研究了基于特征的CAD／CAPP集成的方法，通过定义零件特征数据模型的存储结构，开发了将设计数据转换到工艺数据库中的接口程序，为后续的CAPP系统提供必要的零件形状和工艺信息；(4)研究了基于特征的工艺推理方法，将Mycin算法应用到工艺决策中，开发了基于特征的工艺推理及工艺方案生成系统，在系统中综合运用特征推理、特征加工工艺链查询及人机对话相结合的半智能化方法确定零件加工工艺；(5)介绍了整个HOPE系统的总体结构，通过运行HOPE系统绘出了一轴类零件的零件图，并生成了该零件的加工工艺方案，初步探讨了基于特征的工序图生成技术中数据处理问题；(6)研究了工艺设计过程中知识如何有效表示的问题，提出了将显式的IF-THEN规则表示与隐式神经网络权值表示相结合的工艺知识表示方法，并利用BP算法进行了工艺知识表示的初步研究；(7)研究了工艺设计过程中同一安装下工步优化排序问题，利用神经网络中基于模拟退火的理论来解决该工步优化排序问题，实践证明该方法较传统的算法具有更高的效率；(8)总结了本文所进行的研究工作，为今后进一步开展工作提出了较为合理的建议。

Do you know, i need you to come back

你知道吗，我需要你回来

Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。