基于光纤复用技术的弹体表面场参数组网测量技术

针对传统导弹武器环境参数测量系统测点多且分散，以及量程余量大所导致的电缆网笨重等问题，提出了一种基于光纤复用技术的波分复用（Wavelength Division Multiplexing, WMD）与空分复用（Space Division Multiplexing, SDM）相结合的弹体表面场参数组网测量方案；该系统能够有效地实现弹体表面温度、压力、应变等多环境参数同时测量，测量节点可多达320路；分析了大容量光纤传感网络中所面临的关键技术，并阐述了其在导弹上的工程应用分析；为有效满足弹体小型化、轻型化、高灵敏度及减少弹体体积重量提供了新的思路及解决途径。     

UMR: A utility-maximizing routing algorithm for delay-sensitive service in LEO satellite networks

This paper develops a routing algorithm for delay-sensitive packet transmission in a low earth orbit multi-hop satellite network consists of micro-satellites. The micro-satellite low earth orbit(MS-LEO) network endures unstable link connection and frequent link congestion due to the uneven user distribution and the link capacity variations. The proposed routing algorithm,referred to as the utility maximizing routing(UMR) algorithm, improve the network utility of the MS-LEO network for carrying flows with strict end-to-end delay bound requirement. In UMR, first, a link state parameter is defined to capture the link reliability on continuing to keep the end-to-end delay into constraint; then, on the basis of this parameter, a routing metric is formulated and a routing scheme is designed for balancing the reliability in delay bound guarantee among paths and building a path maximizing the network utility expectation. While the UMR algorithm has many advantages, it may result in a higher blocking rate of new calls. This phenomenon is discussed and a weight factor is introduced into UMR to provide a flexible performance option for network operator. A set of simulations are conducted to verify the good performance of UMR, in terms of balancing the traffic distribution on inter-satellite links, reducing the flow interruption rate,and improving the network utility.     

自适应双平面信息无缝传输实现方法研究

航天测控事业的发展对测控网信息传输的要求越来越高。为保证信息的可靠传输,在通信传输上采用了独立双路由的双平面设计。本文在分析传统测控信息传输模型优缺点的基础上,提出了双平面通信方式下信息传输的改进模型,通过信息选用策略,实现了信息的自适应无缝传输,并进行了仿真测试验证。     

网络——高校图书馆采访的新平台

高校图书馆运用网络有效发挥其作用，已经被广大师生重视。充分认识网络为采访工作所用，在网络环境下提高采访工作人员的素质和采访质量是当务之急。     

A fault diagnosis model based on weighted extension neural network for turbo-generator sets on small samples with noise

In data-driven fault diagnosis for turbo-generator sets, the fault samples are usually expensive to obtain, and inevitably with noise, which will both lead to an unsatisfying identification performance of diagnosis models. To address these issues, this paper proposes a fault diagnosis model for turbo-generator sets based on Weighted Extension Neural Network (W-ENN). W-ENN is a novel neural network which has three types of connection weights and an improved correlation function. The performance of the proposed model is validated against Extension Neural Network (ENN), Support Vector Machine (SVM), Relevance Vector Machine (RVM) and Extreme Learning Machine (ELM) based models. The results indicate that, on noisy small sample sets, the proposed model is superior to the other models in terms of higher identification accuracy with fewer samples and strong noise-tolerant ability. The findings of this study may serve as a powerful fault diagnosis model for turbo-generator sets on noisy small sample sets.     

船岸网络时延测量误差原因分析

简单介绍了测量船船岸通信网络组成,重点介绍了NTP（网络时间协议）和PTP（精密时间协议）这2种网络时间同步协议。针对改建后的船岸网络时延测量误差进行分析和研究,提出基于TWSTFT（卫星双向时间频率传输）技术模型的网络时延测量方法,测量结果误差小于3ms,满足测控任务实时性要求,为提高测控网的测控精度提供有益参考。     

面向深空通信的分布式系统Raptor码传输机制

为缓解深空探测器与地面站之间的超远距离和星体遮挡,而导致巨大的信号衰减以及链路频繁中断的问题,基于容迟/容断网络（DTN）协议框架,利用轨道器进行多跳中继组网传输,设计了多个探测器经过轨道器向地面传输场景下的分布式系统Raptor编码传输方案（DSRC）。提出了联合译码简化方案,理论分析推导了DSRC方案及改进方案的性能参数,并与现有分布式无速率纠删方案进行仿真比较,在译码冗余为5%时达到了0.01的译码失败率。     

安全可靠高性能的无线通信网络设计

作为支持物联网发展的基础网络层之一,无线网络已无处不在.然而,用户经常会遇到由于不当的设计带来的网络性能问题.这些问题可以归结到无线网络的固有特性以及电磁波的物理性质.然而,适当的无线网络设计可以减轻这些影响.本文将对这些设计考量进行介绍,还将对无线网络安全方面的问题加以讨论     

利用人工神经网络提前1h预报电离层TEC

提出了一种利用人工神经网络提前1h预报电离层TEC的简便方法. 考虑到实际工程应用要求, 没有使用其他空间天气参数, 而是选择电离层TEC观测数据本身作为输入参数. 输入参数为当前时刻TEC、一阶差分、相对差分和时间, 输出参数为预报时刻TEC. 利用文中介绍的GPS/TEC处理方法解算厦门站2004年电离层TEC观测数据, 对预报方法进行评估, 全年平均相对误差为9.3744%, 预报结果与观测值相关性达到了0.96678. 结果表明, 利用人工神经网络方法提前1h预报电离层TEC有很好的应用前景.      

空间碎片材料检测技术研究

为了对空间碎片材料的成分进行快速检测,分析了空间碎片的来源和构成,并对空间碎片主要成分的国内外检测技术手段进行了详细对比,采用了一种基于LIBS的网络化空间碎片检测方案。该方案具有分析速度快、测量精度和灵敏度高、可多元素同时测量、空间适应性好且无需样品预处理等特点,同时可实现检测流程全自动化和多线程化。