可扩展的卫星网络建模与仿真研究

卫星网络仿真是对卫星网络进行优化设计、性能分析、效能评估的有效途径。本文针对卫星网络的建模与仿真开展了如下工作： 围绕卫星网络的建模问题，本文在分析卫星网络组成结构和运行特点的基础上，建立了卫星的轨道运行、平台状态、有效载荷模型；针对不同组网模式建立了结构模型；综合考虑卫星的状态参数和空间环境对链路的影响建立了链路模型；基于物理信道、网络层、传输层三个层次建立了通信模型，并讨论了各仿真模型的组成、适应性和可扩展性。 在建模基础上，设计了基于HLA的卫星组网仿真系统总体架构，给出了仿真联邦对象模型的详细设计与具体实现方式，设计了仿真运行流程和系统接口，并进行了仿真实验，验证了仿真模型的正确性和有效性，并进一步分析了HLA在进行面向服务扩展时的适用性，给出了利用XMSF体系结构对其进行扩展的必要性和研究思路。 通过对可扩展的建模与仿真框架（XMSF）特别是面向服务的体系结构（SOA）和仿真服务总线（SSB）的讨论，针对研究卫星网络上层应用的需要，设计了基于XMSF/HLA双层体系结构的原型系统，重点研究了基于web的C/S交互通讯模式和仿真服务总线运行模式。该系统结构支持对HLA的“web化”扩展，并可跨平台、跨语言共享，易于理解和实现。

A new flow field and its two-dimension model for polymer electrolyte membrane fuel cells (PEMFCs)

A new flow field was designed to search flow fields fitting polymer electrolyte membrane fuel cells (PEMFCs) better due its extensible. There are many independent inlets and outlets in the new flow field. The new flow field we named NINO can extend to be more general when pressures at the inlet and outlet vary and some usual flow fields will be obtained. A new mathematical model whose view angle is obverse is used to describe the flow field.

基于网络数据库的分子结构式的动态显示

讨论了在网络数据库环境中动态显示分子结构式的问题。数据库中存储分子的结构信息,在检索时动态生成分子结构式图,图形格式为SVG。SVG是一种矢量图形格式,又是一种基于XML的置标语言。用SVG可以动态创建分子结构式图形,而且文件是文本文件,体积小,易于编辑和信息交换。文中给出了从数据库中提取数据,动态生成分子结构式图形的方法。

实现多数据源集成与互操作的扩展视图方法

文中针对多数据源集成与互操作提出了一种扩展视图方法．其基本思想是：以扩展对象模型（ＥＯＭ）为理论基础，通过扩展视图方法实现对多种数据源中的数据（对象）进行多层抽象与封装，以此满足分布环境下不同层次的应用集成需求．文中还讨论了扩展对象模型（ＥＯＭ）、基于扩展视图方法的集成机制，并结合具体的实例给出了扩展视图方法的形式化描述。

基于IDEF&UML的生产过程管理系统的建模研究

提出了IDEF与UML两者结合的系统建模方法,能够有效地避免IDEF对信息过程流建模和UML语义描述精确性及使用灵活性的不足.该方法采用IDEF0进行系统功能建模,用IDEF1x和UML模型进行信息建模和面向对象的软件系统设计.用该方法设计的沈阳某冶金设备有限公司的基于组件的生产过程管理系统模型具有良好的维护性、可扩展性和重用性,证明了该方法的可行性.

锦屏电站地下厂房卸荷岩体参数研究

It is a basic work to ascertain the parameters of rock mass for evaluation about stability of the engineering. Anisotropism、inhomogeneity and discontinuity characters of the rock mass arise from the existing of the structural plane. Subjected to water、weathering effect、off-loading, mechanical characters of the rock mass are greatly different from rock itself, Determining mechanical parameters of the rock mass becomes so difficult because of structure effect、dimension effect、rheological character, ‘Can’t give a proper parameter’ becomes one of big problems for theoretic analysis and numerical simulation. With the increment of project scale, appraising the project rock mass and ascertaining the parameters of rock mass becomes more and more important and strict. Consequently, researching the parameters of rock mass has important theoretical significance and actual meaning. The Jin-ping hydroelectric station is the first highest hyperbolic arch dam in the world under construction, the height of the dam is about 305m, it is the biggest hydroelectric station at lower reaches of Yalong river. The length of underground factory building is 204.52m, the total height of it is 68.83m, the maximum of span clearance is 28.90m. Large-scale excavation in the underground factory of Jin-ping hydroelectric station has brought many kinds of destructive phenomenon, such as relaxation、spilling, providing a precious chance for study of unloading parameter about rock mass. As we all know, Southwest is the most important hydroelectric power base in China, the construction of the hydroelectric station mostly concentrate at high mountain and gorge area, basically and importantly, we must be familiar with the physical and mechanical character of the rock mass to guarantee to exploit safely、efficiently、quickly, in other words, we must understand the strength and deformation character of the rock mass. Based on enough fieldwork of geological investigation, we study the parameter of unloading rock mass on condition that we obtain abundant information, which is not only important for the construction of Jin-ping hydroelectric station, but also for the construction of other big hydroelectric station similar with Jin-ping. This paper adopt geological analysis、test data analysis、experience analysis、theory research and Artificial Neural Networks （ANN） brainpower analysis to evaluate the mechanical parameter, the major production is as follows: (1)Through the excavation of upper 5-layer of the underground powerhouse and the statistical classification of the main joints fractures exposed, We believe that there are three sets of joints, the first group is lay fracture, the second group and the fourth group are steep fracture. These provide a strong foundation for the following calculation of and analysis; (2)According to the in-situ measurement about sound wave velocity、displacement and anchor stress, we analyses the effects of rock unloading effect，the results show a obvious time-related character and localization features of rock deformation. We determine the depth of excavation unloading of underground factory wall based on this. Determining the rock mass parameters according to the measurement about sound wave velocity with characters of low- disturbing、dynamic on the spot, the result can really reflect the original state, this chapter approximately the mechanical parameters about rock mass at each unloading area; (3)Based on Hoek-Brown experienced formula with geological strength index GSI and RMR method to evaluate the mechanical parameters of different degree weathering and unloading rock mass about underground factory, Both of evaluation result are more satisfied; (4)From the perspective of far-field stress, based on the stress field distribution ideas of two-crack at any load conditions proposed by Fazil Erdogan (1962)，using the strain energy density factor criterion (S criterion) proposed by Xue changming(1972)，we establish the corresponding relationship between far-field stress and crack tip stress field, derive the integrated intensity criterion formula under the conditions of pure tensile stress among two line coplanar intermittent jointed rock，and establish the corresponding intensity criterion for the exploratory attempt; (5)With artificial neural network, the paper focuses on the mechanical parameters of rock mass that we concerned about and the whole process of prediction of deformation parameters, discusses the prospect of applying in assessment about the parameters of rock mass，and rely on the catalog information of underground powerhouse of Jinping I Hydropower Station, identifying the rock mechanics parameters intellectually，discusses the sample selection, network design, values of basic parameters and error analysis comprehensively. There is a certain significance for us to set up a set of parameters evaluation system，which is in construction of large-scale hydropower among a group of marble mass.