电磁环境对电子装备影响及复杂度计算方法

电磁环境对不同电子装备的影响存在差异,导致无法用一种方法对复杂度进行度量.在分析电磁环境对电子装备影响的基础上,将电子装备分为两类:发射并接收电磁信号的装备和接收非合作目标电磁信号的装备.以通信侦察装备和通信装备为例,研究了电磁环境对电子装备的影响,并分别给出了两类电子装备对应的复杂度计算指标和计算方法.提出的计算方法可以有效地分析电磁环境复杂度,为电磁环境复杂度计算和电磁环境构建提供技术参考.     

基于语料库的小说《菊》文本分析

基于语料库的文学研究用文体特征的统计数据和检索数据验证、说明读者对作品解读的合理性,对文学作品进行更详实、更深入和更具体的描述。论文用语料库方法对《菊》进行检索分析,对文章的词汇特点、主题词的出现频率进行研究,为深刻解读作品提供了科学依据。研究发现《菊》在词汇方面是一篇中上等难度的作品,     

规则回转体自动铺丝轨迹规划与丝束增减

为满足自动铺丝轨迹的满铺覆性要求，针对现阶段自动铺丝轨迹规划存在的不足，提出了不同的丝束增减算法。首先讨论纤维铺放方向的确定和中心轨迹数量的计算，设计不同铺放方向轨迹的生成算法。然后以丝束重叠系数为重要参数，对于纤维局部堆积和空缺问题提出单侧纤维裁剪算法和双侧纤维裁剪算法，并对裁剪后的重叠区域和间隙区域进行面积求解，使得纤维丝束均匀覆于芯模表面。最后基于CATIA CAA二次开发平台，将上述算法集成到纤维铺放CAD系统中，通过运动仿真系统验证算法的正确性。利用提出的丝束增减算法，实现了间隙/重叠区的均匀分布，尽量降低了富树脂区等相关缺陷的聚集对性能的不良影响。     

航天器软件风险集成管理方法

为确保航天器软件产品功能、性能符合任务需求,安全、可靠地完成飞行任务,需要对其进行风险管理。文章首先介绍了软件风险管理理论研究现状;然后结合航天器软件强实时性、高可靠性和安全性、维护困难等问题,提出了基于系统集成思想的软件风险控制方法;最后以某航天器为例介绍了该套方法的应用成果。研究结果可为识别航天器软件风险,提高软件产品质量提供参考。     

降低PLC系统峰均比的低复杂度改进SLM算法

针对信道慢时变特性及噪声复杂的特点,提出了适用于低压电力线通信的降低峰均比的改进算法.改进算法对原始输入序列中的部分数据进行循环移位来获得一系列不同的新数据序列;在每个新数据序列尾部插入相应的边带信息组成一个输入候选序列;对这一系列不同的输入候选序列分别实施傅里叶反变换,得到不同的输出序列;从中选择峰均比最小的用于传输,达到降低系统峰均比的目的.结果表明:改进算法能够有效地降低系统的峰均比,并且能够获得更好的误码率性能,同时具有比传统选择性映射方法更低的计算复杂度.     

某型通航飞机失速警告失效故障分析

针对某型通航飞机地面测试中发现失速警告不工作的故障,分析该失速警告系统各组成部分的结构、原理、功能、走线,制定具体排故程序逐步判断查找出故障原因电子线路故障,并对故障原因进行了分析。     

Optimized Fuzzy Clustering Method for Health Monitoring of Shield Tunnels

Since health monitoring of shield tunnels generally employs multiple sensors belonging to different types,a fine analysis on massive monitoring data,as well as further quantitative health grading,is really challenging.An optimized fuzzy clustering analysis method based on the fuzzy equivalence relation is proposed for health monitoring of shield tunnels.Clustering results are auto-generated by using fuzzy similarity-valued map.The results follow the idea of unsupervised classification.Moreover,a convenient new health index HI is proposed for a fast tunnel-health grading.A case study on Nanjing Yangtze River Tunnel is presented to validate this method.Three types of indicators,namely soil pressure,pore water pressure and steel strain,are used to develop the clustering model.The clustering results are verified by analyzing the engineering geological conditions;the validity and the efficacy of the proposed method are also demonstrated.Further,the fuzzy clustering analysis also represents a potential for identifying abnormal monitoring data.This investigation indicates the fuzzy clustering analysis method is capable of characterizing the fuzziness of tunnel health,and beneficial to clarify the tunnel health evaluation uncertainties.     

整合辽宁省航空产业资源,推动产业链全面振兴增值

结合辽宁省航空产业基础雄厚的现实条件,针对产业布局分散、产业整合度较低等具体问题,经过充分调查研究和对比论证,总结了全省航空产业资源的优势与不足,综合论述了辽宁省航空产业资源的整合必要性和可行性,结合沈阳国家民用航空高技术产业基地的建设和"五点一线"战略的实施,提出了尽早规划、与国有企业合作、加强自主创新能力建设、加强省部合作等建议.     

Using natural features for vision based navigation of an indoor-VTOL MAV

The use of natural features for vision based navigation of an indoor Vertical-Take-Off-and-Landing (VTOL) Micro Aerial Vehicle (MAV) named Air-Quad is presented. Air-Quad is a small four-rotor helicopter developed at the ITE.Such a helicopter needs reliable attitude information. The measurements of the used MEMS gyroscopes and accelerometers are corrupted by strong noise. To be useful, the MEMS sensors have to be part of an integrated navigation system with aiding through complementary sensors like GPS or the computer vision module presented here.In the computer vision module, feature points are detected and tracked through the image sequence. The relative rotation and translation of the camera are estimated using the two-dimensional motion of the feature points.The three-dimensional points in the scene are modeled with the image coordinates of their first sighting and their inverse depths. Only these inverse depths are estimated for the feature points. An efficient sparse bundle adjustment algorithm is used to improve the estimation of the scene structure and the navigation solution.It is shown that the use of the computer vision module greatly improves the navigation solution compared to a solution based only on MEMS sensors.