潜在电路分析中的拓扑模式识别算法研究

在网络树拓扑识别理论的分析方法与算法基础上 ,推导出网络树特定的五种基本拓扑模式识别的工程算法 ,以解决计算机对电路网络树进行自动拓扑识别问题。     

扩频码协议在集中式扩频无线分组网中的应用

从集中式扩频无线分组网的角度出发，着重讨论了正向链路和反向链路上的扩频码协议的选择问题，并且提出了一种扩频码协议的具体实现方案。     

构建无线自组网仿真场景

计算机仿真是测试评估网络协议性能的基本技术，而无线自组网技术是一项新兴的热门无线网络技术。目前为止还没有文章对无线自组网计算机仿真技术进行综合介绍。因此，本文以构建易用合理的无线自组网仿真场景为目标，从仿真软件、仿真场景和移动模型这三个方面综合说明了构建无线自组网仿真场景的相关技术。本文对三种通用网络仿真软件NS-2，Glomosim和OPNET进行了分析比较，介绍了无线自组网研究中几种典型的仿真场景，最后介绍了常用的几个节点移动模型，分析了移动模型存在的问题及解决方法。本文对构建无线自组网仿真环境具有指导借鉴意义。     

航电系统SCI环型互连的计算机仿真建模

研究可扩展一致性接口 SCI环型互连的计算机仿真问题。作为未来一代航电系统的首选技术 ,SCI互连系统性能的优劣直接影响到飞行器的质量 ,对其性能的评价因此显得尤为重要。文中按照计算机仿真建模的一般方法 ,从 SCI协议的基本原理出发 ,建立了接口和节点模型 ,解决了并发数据交互的仿真时序问题 ,给出了 SCI环型互连的系统仿真模型 ,并通过例子对仿真模型的有效性进行了验证     

Neural Network aided PMSM multi-objective design and optimization for more-electric aircraft applications

This study uses the Neural Network(NN) technique to optimize design of surfacemounted Permanent Magnet Synchronous Motors(PMSMs) for More-Electric Aircraft(MEA)applications. The key role of NN is to provide dedicated correction factors for the analytical PMSM mass and loss estimation within the entire design space. Based on that, a globally optimal design can be quickly obtained. Matching the analytical estimation with Finite-Element Analysis(FEA) is the main research target of training the NN. ...     

基于自适应遗传BP算法神经网络数据融合的空中目标识别

空中目标识别是现代防空作战的重要研究内容。本文利用不同类型目标产生的多类型传感器的数据信息对目标进行识别。为了训练神经网络目标识别分类器,将遗传算法和BP算法相结合,提出了一种新的自适应遗传BP算法,利用这种神经网络来确定指标的权值。仿真试验结果表明,基于自适应遗传BP算法神经网络的识别是一种简单、可靠的目标识别方法,具有很好的目标识别效果。     

Evolution of airports from a network perspective——An analytical concept

Analyzing airports' role in global air transportation and monitoring their development over time provides an additional perspective on the dynamics of network evolution. In order to understand the different roles airports can play in the network an integrated and multi-dimensional approach is needed. Therefore, an approach to airport classification through hierarchi-cal clustering considering several parameters from network theory is presented in this paper. By applying a 29 year record of global flight data and calculating the conditional transition probabil-ities the results are displayed as an evolution graph similar to a discrete-time Markov chain. With this analytical concept the meaning of airports is analyzed from a network perspective and a new airport taxonomy is established. The presented methodology allows tracking the development of airports from certain categories into others over time. Results show that airports of equal classes run through similar stages of development with a limited number of alternatives, indicating clear evolutionary patterns. Apart from giving an overview of the results the paper illustrates the exact data-driven approach and suggests an evaluation scheme. The methodology can help the public and industry sector to make informed strategy decisions when it comes to air transportation infras-tructure.     

An ion analyzer for the lunar surface with E-parallel–B

We present a novel instrument concept to measure the energy and mass spectra of ions incident on the lunar surface, based on the E-parallel–B or Thomson-parabola device used extensively as a diagnostic in the plasma fusion community. The Apollo-era Suprathermal Ion Detector Experiment (SIDE) was the first instrument package to perform in-situ measurements of ions incident on the lunar surface. The ions can originate from a variety of sources, including the solar wind, the Earth’s magnetotail, and photoionization of the thin lunar atmosphere. The species and energy distribution of ions arriving at the lunar surface depend in a complicated and poorly-understood fashion on the phase of the lunar day, the position of the Moon with respect to the Earth, and on the local plasma environment.     

Improved predictions of equatorial TEC for real time applications

It is important to use models developed specifically for the equatorial ionospheric estimation for real-time applications, particularly in Satellite Navigation. This work demonstrates a methodology for improved predictions of VTEC in real time using the model developed for the equatorial ionosphere by the authors. This work has been done using TEC data of the low solar activity period of 2005 obtained using dual frequency GPS receivers installed under the GAGAN project of ISRO. For the purpose, the model is first used in conjunction with Kriging technique. Improvement in accuracy is observed when compared with the estimations from the model alone using the measurements as true reference. Further improvement is obtained by Bayesian combination of these estimates with independent Neural Network based predictions. Statistical performance of improvement is provided. An improvement of ∼1 m in confidence level of estimation of VTEC is obtained.     

计算机网络安全及安全审计技术研究

通过对计算机安全和安全审计问题的简要分析，并结合网络系统的特点，力图较系统深入地探讨计算机网络安全及其审计技术；在此基础上，提出了一个网络安全审计模型。