知识获取子系统ACQUIST的设计与实现

知识获取是专家系统的瓶颈问题,本文详细叙述了数控系统故障诊断专家系统的知识获取子系统ACQUIST的设计思想和实施方法。     

FY—1C卫星地面综合测试软件技术

介绍FY－1C星地面综合测试软件的系统构成、系统的网络数据流，着重介绍为提高测试软件的安全可靠性、准确性，提高软件对卫星的监视能力，提高软件发现问题的能力，以及提高软件发现问题的主动预报能力而采取的行之有效的有效的方法。并给出了一些软件实际应用的成果图。     

载人航天过程中人的可靠性研究

从失误分析、理论研究及可靠性预测三方面详细分析了人的可靠性研究现状 ,在此基础上 ,指出其未来主要的发展方向与手段。最后 ,认为必须从人、机、环境三个方面进行综合考虑来提高航天员的可靠性。     

一种组合型的探干一体化信号设计分析

针对雷达信号资源利用率有待提升、低截获性能不足的问题,提出 1种复合调制的创新型探干一体化信号波形。线性调频信号本身具有良好的低截获性能,伪随机码序列分量具有较好的干扰性,同时又能一定程度上扩展信号带宽,两者的复合调制信号具有良好的探测和干扰性能。对基于 LFM的探干一体化信号波形进行了调制原理分析,并分别从时域、频域、功率谱、模糊函数、自相关特性等角度分析其探测、干扰特性。仿真实验证明,相较于单一调制的线性调频信号,一体化信号具有更宽的频带、更优良的干扰特性和探测性能,同时,有更高效的雷达资源利用率。     

305m长线缆的回波损耗和近端串扰的测试方法研究

数字平衡线缆广泛应用于综合布线系统以连通设备、互传信息,是工程建设中最常用的传输介质,其质量是保证信息顺利传递的关键,目前国际上通行的测试标准和方法均是基于90m长度的基线模型,而数字平衡线缆在工厂制造中通常是以1 000ft(305m)为基本单位进行绕匝装箱。因此为方便对生产线缆进行性能检测和质量控制,针对整箱线缆的测试方法研究尤为必要。文章提出针对305m长线缆的回波损耗和近端串扰的测试方法,利用网络分析仪和阻抗转换器实现对双绞线所有线对的近端性能测试,并与国际标准进行对比,验证了可以通过测试305m长线缆的回波损耗和近端串扰值来初步判断线缆的传输质量是否合格。     

自动测试技术在航天中的应用现状及发展趋势

自动测试技术在航天中具有广泛的应用需求。针对目前航天自动测试系统存在的通用性不强和设备检测维护不便等问题，本文回顾了自动测试技术在航天关键部件性能试验和健康监测、航天产品综合测试以及航天测控系统中的应用现状，对未来的发展趋势和需要重点突破的关键技术进行了探讨。     

基于CAN总线的冗余系统同步技术研究

为了解决自动油门伺服控制器冗余系统中双CPU时钟不同步导致的系统工作不稳定问题,本文提出了一种改进的同步技术,该技术通过CAN总线通信,基于PYP协议进行信息交互,实现双CPU的时钟同步。通过开发试验板进行验证测试,测试结果表明,该技术可以有效地解决冗余系统同步问题,同步后的时钟误差为微秒级,大大优于硬件同步技术的毫秒级。     

Intelligent Silent Zone for Source-Location Privacy Based on Context-Awareness in WSNs

In many wireless sensor networks(WSNs)applications,the preservation of source-location privacy plays a critical role in concealing context information,otherwise the monitored entities or subjects may be put in danger.Many traditional solutions have been proposed based on the creation of random routes,such as random walk and fake sources approach,which will lead to serious packet delay and high energy consumption.Instead of applying the routing in a blind way,this article proposes a novel solution for source location privacy in WSNs by utilizing sensor ability of perceiving the presence a mobile attacker nearby,for patient attackers in particular to increase the safety period and decrease the data delivery delay.The proposed strategy forms an intelligent silent zone(ISZ)by sacrificing only a minority of sensor nodes to entice patient attackers away from real packet routing path.The analysis and simulation results show that the proposed scheme,besides providing source location privacy energy efficiently,can significantly reduce real event reporting latency compared with the existing approaches.     

Nonlinear Interactions between the Quasi 5-day Wave and Tides Based on Meteor Radar Observations at Maui

Nonlinear interactions between the quasi 5-day wave and tides based on meteor radar observation in the Mesosphere and Lower Thermosphere(MLT) at Maui are studied in this paper.Strong sum interaction between quasi 5-day wave and diurnal tide,and evident difference interaction between quasi 5-day wave and semidiurnal tide are observed during the time of attention.However,their difference and sum counterparts are clearly weaker.The secondary waves generated from those interactions beat with the tide and show intense modulation at the period of 5 days which confirms the existence of their interactions.Additionally,correlation coefficients among these waves are calculated to further explore their interactions and find that they can persist for several days although they are highly intermittent.The energy exchange among these waves can be reversible during the observational time.The periods when the significant difference interaction between the quasi 5-day wave and semidiurnal tide occur are much shorter than those when the significant sum interaction between the quasi 5-day wave and diurnal tide occur.Moreover,these two strong interactions can take place simultaneously.In generally,this study provides the proof of nonlinear interactions between quasi 5-day wave and tides which were seldom reported before.     

基于残缺图像样本的生成对抗网络图像修复方法

针对大面积图像修复缺失严重时，需要完整且高质量训练样本的问题，提出了一种将残缺或含噪图像样本作为训练集的双生成器深度卷积生成对抗网络（DGDCGAN）模型。构建两个生成器和一个鉴别器以解决单一生成器收敛慢的问题，用残缺图像样本作为训练集，通过交叉计算、搜索损失区域类似的图像信息作为训练生成模型的样本，收敛速度更快。鉴别器损失函数改进为输出的Wasserstein距离，使用自适应估计算法优化生成器损失函数和鉴别器损失函数的模型参数，最小化两两图像之间的总距离差，使用鉴别模型和修复图像总距离变化均方差最小化两个指标优化修复结果。在4个公开数据集上进行主客观实验，结果表明:所提方法能使用残缺图像样本作为训练集，有效实现大面积失真图像的修复，且收敛速度和修复效果优于现有图像修复方法。