对巡航导弹撞地有关因素的仿真研究

研究了巡航导弹低空地形跟踪飞行的撞地概率问题，针对地形随机输入和低空风随机干扰共同作用的情况，研究了撞地概率的仿真计算方法，在给定条件下求出了它们与撞地概率的关系曲线，分析了它们对撞地概率的影响，从中可以看出，协调参数，能有效降低撞地概率，提高巡航导弹的作战效能。     

传输型光学遥感器斜模式采样新方法研究

文章介绍了实现超模式采样焦平面3种解决方案面临的技术难点,为避开器件问题提出了一 种新的斜模式采样方法。以任意两雏周期采样理论为基础分析了斜模式采样技术的物理原理,并通过实验 手段验证了斜模式采样技术的可行性。试验结果表明:改变探测器推扫方向的采样间距,斜模式采样技术 可以提高传输型光学遥感器图像的空间分辨率,该技术相对于超模式采样技术,工程实现上要简单。     

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.     

学部制下提升高校学生核心就业能力的有效途径研究

高校学部制下办学,可以更广领域和更宽视野来审视我们的高校专业教育,既要考虑社会的现实需求,也要考虑未来社会对人才的要求;既要考虑学生的就业,也要兼顾学生发展潜力和应对未来世界挑战的核心竞争能力。在学部制办学背景下,探讨如何利用学部优势,提升包括大学生学习能力、创新能力上岗能力等核心就业能力,全方位的培养具有复合型知识结构和能力结构,核心竞争力强的厚基础、宽口径复合型人才。     

2DPIV视场布置方案研究

针对大迎角旋涡三维分离流动空间速度场的测量,介绍了一种能够减小2DPIV实验透视误差的视场布置方案,并将该方案应用于大迎角前体非对称涡流动二涡区截面流场的研究中,比较SPIV和2DPIV同步测量结果的差异。实验结果表明,该视场布置方案能够将2DPIV所摄截面旋涡区速度分量u、v的透视误差由原来的14%、18%减小至5%以内(相对于来流风速V∞)。该视场布置方案可将2DPIV测量旋涡涡心的位置误差控制在流场结构空间分辨率的范围之内。     

Biomass-Derived Nitrogen and Sulfur Co-Doped 3D Carbon Networks with Interconnected Meso-Microporous Structure for High-Performance Supercapacitors

Three-dimensional(3D)carbon networks have been explored as promising capacitive materials thanks to their unique structural features such as large ion-accessible surface area and interconnected porous networks,thus enhancing both ions and electrons transport.Here,sustainable bacterial cellulose(BC)is used both precursor and template for facile synthesis of free-standing N,S-codoped 3Dcarbon networks(a-NSC)by the pyrolysis and activation of polyrhodanine coated BC.The synthesized a-NSC shows highly conductive interconnected porous networks(24S·cm~(-1)),large surface area(1 420m~2·g~(-1))with hierarchical meso-microporosity,and high-level heteroatoms codoping(N:3.1%in atom,S:3.2%in atom).Benefitting from these,a-NSC as binder-free electrode exhibits an ultrahigh specific capacitance of 340F·g~(-1)(24μF·cm~(-2))at the current density of 0.5A·g~(-1)in 6MKOH electrolyte,high-rate capability(71%at 20A·g~(-1))and excellent cycle stability.Furthermore,the assembled symmetrical supercapacitor displays a much short time constant of 0.35sin 1MTEABF4/AN electrolyte,obtaining a maximum energy density of 32.1W·h·kg~(-1 )at power density of 637W·kg~(-1).The in situ multi-heteroatoms doping enables biocellulose-derived carbon networks to exploit its full potentials in energy storage applications,which can be extended to other dimensional carbon nanostructures.     

Motion prediction of a non-cooperative space target

Capturing a non-cooperative space target is a tremendously challenging research topic. Effective acquisition of motion information of the space target is the premise to realize target capture. In this paper, motion prediction of a free-floating non-cooperative target in space is studied and a motion prediction algorithm is proposed. In order to predict the motion of the free-floating non-cooperative target, dynamic parameters of the target must be firstly identified (estimated), such as inertia, angular momentum and kinetic energy and so on; then the predicted motion of the target can be acquired by substituting these identified parameters into the Euler’s equations of the target. Accurate prediction needs precise identification. This paper presents an effective method to identify these dynamic parameters of a free-floating non-cooperative target. This method is based on two steps, (1) the rough estimation of the parameters is computed using the motion observation data to the target, and (2) the best estimation of the parameters is found by an optimization method. In the optimization problem, the objective function is based on the difference between the observed and the predicted motion, and the interior-point method (IPM) is chosen as the optimization algorithm, which starts at the rough estimate obtained in the first step and finds a global minimum to the objective function with the guidance of objective function’s gradient. So the speed of IPM searching for the global minimum is fast, and an accurate identification can be obtained in time. The numerical results show that the proposed motion prediction algorithm is able to predict the motion of the target.     

舰载无人机横侧向着舰控制律设计

舰载无人机横侧向控制一直是着舰控制律设计的难点。为了解决着舰横侧向控制的难题,针对舰载无人机的非线性模型采用了反演控制器设计方法,为解决传统反演的计算膨胀问题,引入了指令滤波方法,同时只设计了一个Lyapunov函数证明了稳定性;由于舰载机动力学模型不能精确获得,采用了自适应方法对其进行估计。设计的横侧向着舰控制器,能较好地解决横侧向控制器设计过程中的耦合问题,并且和传统PID进行了仿真对比,证明了所设计的控制律满足了对参考信号跟踪的性能要求。     

对长期飞行任务中航天员医学防护问题的思考

通过对国外航天医学发展的分析,结合我国载人航天发展实际,综述长期飞行任务中失重、辐射等因素对人体的影响,从医学监测和失重生理效应防护技术角度对行星际航天飞行任务中保障航天员的健康安全提出建议,为我国航天事业未来发展提供参考.     

一种在理论模线控制下的飞机结构立体图快速画法

绘制飞机结构立体图通常会涉及到飞机外形。由于飞机外形复杂，用传统方法绘制与外形有关的立体图不仅速度慢，而且局限性大。本文介绍一种在理论模线控制下的飞机结构立体图快速画法。