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.     

示波器输入电容对上限截止频率测量的影响

单管放大电路是模拟电路中的一个经典实验。通过这个实验,学生可以更好地掌握静态工作点的调整和测试方法,并通过测量放大电路的主要性能指标,体会静态工作点对动态特性的影响。实验电路的上限截止频率仿真值和实测值存在较大差异,本文针对这个问题进行了详细的分析,指出示波器的输入电容是引起差异的主要原因,并进一步讨论了可有的改进测试方法。     

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。     

定向破坏复合材料层合壳体结构铺层的分析与设计

以复合材料层合板为基本材料设计了一种结构新颖的定向破坏复合材料层合壳体结构,在导弹与

该壳体结构的初始接触区域预制缺陷区,导弹发射时以四瓣形式开裂,大幅度提高了导弹的发射效率。利用ANSYS

有限元模拟分析软件,通过强度分析确定了最佳铺层设计方案,单层板厚度为0.2 mm,采用基体本身加强预

置缺陷区的[0°/90°/ ±45°]2S 铺层方式。该种铺层方式的爆破载荷为0.21 MPa,最小顶破载荷为1 kN,完全能够

满足其在工作环境下既能承受一定的压力不漏气又能在较小的顶破载荷下自行破裂的设计要求。

     

基于 VxWorks 的大容量 SATA 电子盘驱动实现

本文讲述了大容量 SATA 电子盘在 VxWorks 操作系统中的驱动设计过程.介绍了硬件系统组成,描述了 VxWorks 中 SATA 电子盘设备的驱动流程,MPC8377 CPU 自带 SATA 控制器的配置和大容量电子盘的配置,以及文件系统的建立过程     

机场近距平行跑道一起一降模式下的容量计算

通过对传统跑道容量模型的修正并结合相应的飞行程序，得出了近距平行跑道在一起一降运行模式下起飞和到达容量独立计算的数学模型，并且用中国上海浦东机场运行数据进行了验证，表明容量模型具有较好的实用性，从而在实际应用中方便了近距平行跑道容量的计算，同睁也提高了近距平行跑道的利用率。     

综合运输中理想运力分配模型

本文对综合运输中各种运输方式的理想运力进行了理论上的探讨,希望能引起交通运输的主管部门的重视,并在实践中积极地实践,从而来检验理论的正确性.     

Using TensorFlow-based Neural Network to estimate GNSS single frequency ionospheric delay (IONONet)

In the last 20?years, and in particular in the last decade, the availability of propagation data for GNSS has increased substantially. In this sense, the ionosphere has been sounded with a large number of receivers that provide an enormous amount of ionospheric data. Moreover, the maturity of the models has also been increased in the same period of time. As an example, IGS has ionospheric maps from GNSS data back to 1998, which would allow for the correlation of these data with other quantities relevant for the user and space weather (such as Solar Flux and Kp). These large datasets would account for almost half a billion points to be analyzed. With the advent and explosion of Big Data algorithms to analyze large databases and find correlations with different kinds of data, and the availability of open source code libraries (for example, the TensorFlow libraries from Google that are used in this paper), the possibility of merging these two worlds has been widely opened. In this paper, a proof of concept for a single frequency correction algorithm based in GNSS GIM vTEC and Fully Connected Neural Networks is provided. Different Neural Network architectures have been tested, including shallow (one hidden layer) and deep (up to five hidden layers) Neural Network models. The error in training data of such models ranges from 50% to 1% depending on the architecture used. Moreover, it is shown that by adjusting a Neural Network with data from 2005 to 2009 but tested with data from 2016 to 2017, Neural Network models could be suitable for the forecast of vTEC for single frequency users. The results indicate that this kind of model can be used in combination with the Galileo Signal-in-Space (SiS) NeQuick G parameters. This combination provides a broadcast model with equivalent performances to NeQuick G and better than GPS ICA for the years 2016 and 2017, showing a 3D position Root Mean Squared (RMS) error of approximately 2?m.