基于DynamipsGUI的小型局域网仿真

应用DynamipsGUI软件开展小型局域网络的仿真,简化了网络的分析和设计.通过配置虚拟局域网中继协议和生成树协议,详细介绍了仿真实验的过程.在虚拟环境下,应用多类网络协议进行数据通信不仅有益于网络配置技术的学习,而且符合真实的网络.     

基于VaIgrind中间语言的测试用例动态生成

软件漏洞是软件在设计实现时由于软件功能自身的复杂性和抽象性,导致在具体实现时所引起的缺陷。测试用例在检测软件缺陷时能够起到指导作用,在研究VaIgrind中间语言的基础上,针对STP求解器的语言特点,设计实现了一个测试用例动态生成的系统,对其中的主要设计思想进行了阐述,并对该系统进行了程序测试,对最终的测试性能给出了结果。     

双交换机冗余网络智能切换的设计及应用

在重要的通信与控制设备中,为了确保系统的稳定,通常在其内部都使用了备份和冗余网络。本文针对一种平面独立的内部双交换机冗余网络,设计了一种实用的不依赖生成树协议(STP/RSTP)的快速智能冗余切换的方法,通过实验室及现场应用验证了该方法的有效性。     

Analysis of an ex-vessel break in the ITER divertor cooling loop

In the present work the integrated ECART code, developed for severe accident analysis in LWRs, is applied on the analysis of a large ex-vessel break in the divertor cooling loop of the international thermonuclear experimental reactor (ITER). A comparison of the ECART results with those obtained by Studsvik Nuclear AB (S), utilizing the MELCOR code, was also performed in the general framework of the quality assurance program for the ITER accident analyses. This comparison gives a good agreement in the results, both for thermal-hydraulics and the environmental radioactive releases. Mainly these analyses, from the point of view of the ITER safety, confirm that the accidental overpressure inside the vacuum vessel and the Tokamak cooling water system (TWCS) Vault is always well below the design limits and that the radioactive releases are adequately confined below the ITER guidelines.     

基于Tin和STP的3D地学混合构模

实现GIS与GMS的集成,可将地表信息和地下信息结合起来更加完整地表达地质现象,给地质专家提供更多的可视化信息和分析工具。根据实际工程钻孔数据的特性,提出了基于Tin和STP的混合空间构模技术构建三维地学模型。该技术在三维地学模拟系统的开发中得到了应用,实验结果表明GIS与GMS的一体化集成是可行的,也是RS、GIS、GMS的三位一体化集成的基础。     

5G SA核心网信令组网方式分析

随着信息通信技术的不断发展,移动通信网络逐步向5G演进。5G SA网络基于服务化接口的新的网络架构,各功能实体间采用基于HTTP2.0协议的信令消息,信令网络如何组网成为5G核心网规划和建设的关键。本文通过分析5G信令的特点,提出信令组网的可行方案,为5G信令网组网提供建议和借鉴。     

北电SMLT技术在江阴广电核心网络中的应用

SMLT（Split Multi Link Trunk。分离的多链路聚合主干）技术是MLT技术的扩展，这种新技术的产生大大增强了北电交换机的链路可靠性和安全性。扩充了网络传输能力。本文主要介绍SMLT的原理和特点以及在江阴广电核心网络中的实际应用。     

C＆C08信令转接点接入网管系统的方法

介绍了C&C08STP接入天津本地电话网网管系统的组网方式和具体的接入方法，以及应注意的问题等。     

Development of a novel computational tool for optimizing the operation of fuel cells systems: Application for phosphoric acid fuel cells

Fuel cells offer a significant and promising clean technology for portable, automotive and stationary applications and, thus, optimization of their performance is of particular interest. In this study, a novel optimization tool is developed that realistically describes and optimizes the performance of fuel cell systems. First, a 3D steady-state detailed model is produced based on computational fluid dynamics (CFD) techniques. Simulated results obtained from the CFD model are used in a second step, to generate a database that contains the fuel and oxidant volumetric rates and utilizations and the corresponding cell voltages. In the third step mathematical relationships are developed between the input and output variables, using the database that has been generated in the previous step. In particular, the linear regression methodology and the radial basis function (RBF) neural network architecture are utilized for producing the input–output “meta-models”. Several statistical tests are used to validate the proposed models. Finally, a multi-objective hierarchical Non-Linear Programming (NLP) problem is formulated that takes into account the constraints and limitations of the system. The multi-objective hierarchical approach is built upon two steps: first, the fuel volumetric rate is minimized, recognizing the fact that our first concern is to reduce consumption of the expensive fuel. In the second step, optimization is performed with respect to the oxidant volumetric rate. The proposed method is illustrated through its application for phosphoric acid fuel cell (PAFC) systems.