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。     

由感知到动作决策一体化的类脑导航技术研究现状与未来发展

随着脑与神经科学以及人工智能技术的持续发展，昆虫和哺乳动物大脑导航机理启发下的感知/认知/路径规划/动作决策一体化类脑导航技术得到了较大发展，可以实现由原始感知信息输入到导航动作决策的直接输出，呈现出接近动物端到端面向目标导航的智能行为，具有提高密集型无人机集群导航鲁棒性、准确性、实时响应动作、自主智能性以及计算效率的潜力。阐述了昆虫和哺乳动物大脑导航机理及其互补对称关系，以及昆虫和哺乳动物大脑导航机理启发的端到端类脑导航技术内涵；论述了类脑导航技术研究进展，包括类脑环境感知、类脑空间认知、面向目标类脑导航；分析了类脑导航向智能化、神经形态系统以及群体导航发展的新趋势；最后讨论了类脑导航技术应用于无人机密集集群系统时存在的挑战。     

新型通用飞机机载数据记录仪的研究

分析了国内外通用飞机机载数据记录仪的现状,指出我国现有通用飞机机载数据记录仪所存在的不足之处.同时,根据未来通用飞机的发展,深入研究了新型通用飞机机载数据记录仪的功能、特点需求,并且基于模块化思想,提出了新型通用飞机机载数据记录仪的设计思路,给出了新型通用飞机机载数据记录仪的软硬件体系结构,并对其核心模块的功能进行了详细的阐述.最后,简述了新型通用飞机机载数据记录仪的应用.     

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.     

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.     

Effect of earth?s rotation and range foldover on space-based radar performance

Space-based radar (SBR) by virtue of its motion generates a Doppler frequency component to the clutter return from any point on the Earth as a function of the SBR-Earth geometry. The effect of the rotation of the Earth around its own axis also adds an additional component to this Doppler frequency. The overall effect of the rotation of the Earth on the Doppler turns out to be two correction factors in terms of a crab angle affecting the azimuth angle, and a crab magnitude scaling the Doppler magnitude of the clutter patch. Interestingly, both these quantities depend only on the SBR orbit inclination and its latitude and not on the location of the clutter patch of interest. Further, the crab angle has maximum effect for an SBR on a polar orbit that is above the equator. The crab magnitude, on the other hand, peaks for an SBR on an equatorial orbit. Together with the range foldover phenomenon, their overall effect is to generate Doppler spread/splitting resulting in wider clutter notches that degrade the clutter nulling performance of adaptive processing techniques. A detailed performance analysis and methods to minimize these effects are discussed here