一种获取耀斑光变曲线的高精度,高分辨方法

一种获取耀斑光变曲线的高精度、高分辨方法栗志，周卫红（中国科学院云南天文台，昆明６５００１１）关键词太阳耀斑，光变曲线，测量方法太阳耀斑物理机制的研究，需要得到耀斑核的辐射的演化，在光学波段常用耀斑在单色光的辐射强度的时间变化曲线作为分析依据［１］．...     

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。     

论航天器的综合环境试验

讨论了在航天器研制中综合环境试验的重要性和必要性,简单介绍了航天器研制中的各种综合环境试验,对如何设计和应用综合环境试验提出了一些看法。     

Experimental study of hydrogen-rich/oxygen-rich gas-gas injectors

Five types of coaxial injectors were investigated experimentally using hot hydrogen-rich gas and oxygen-rich gas, which were respectively provided by a GH2/GO2 hydrogen-rich perburner and a GH2/GO2 oxygen-rich preburner. The injectors were the shear coaxial injector, the oxidizer post expansion coaxial injector, the fuel impinging coaxial injector, the central body coaxial injector, and the shear tri-coaxial injector. The characteristic velocity efficiency and the combustor＇s wall temperatures were obtained for different design parameters through the experiments. It can be con- cluded that angles of the oxidizer post expansion and the fuel impinging have little influence on the combustion performance and the wall temperatures. The contact area between fuel and oxidizer and the mass flow rate have significant impacts on the combustion performance. The shear tri-coaxial injector has the best combustion performance but also the highest wall temperatures among the five types of injectors.     

飞轮振源特征参数提取方法及其分布特性

为了从飞轮微振动输出中提取飞轮转子的振源信息，提出利用鲁棒回归辨识飞轮在升速过程中各主要阶次的振幅对转速的二次幂系数，并将其作为飞轮的振源幅值特征参数；为探究参数的分布特性，利用Weibull分布拟合多个飞轮在同一阶次的特征参数，并计算出特定概率点的分位数。振源特征参数的分位数既系统地展示了飞轮振源分布情况，亦可作为振源分级判据。将该方法成功应用于50 Nms飞轮的振源特征参数分布研究中，为该型飞轮的超静性能筛选和设计改进提供了判定准则和参考依据。     

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.     

去中心化时差频差直接定位方法

针对原始利用时差频差的直接定位(DPD)方法存在数据传输量和计算量大的瓶颈,提出了两种去中心化直接定位方法。第1种方法采用去中心化配对方案,只将各观测站截获信号在站间进行一次传输,将数据传输和计算分散到各观测站间并行计算互模糊函数(CAF),构造仅满足满秩条件的互模糊矩阵(CAM)。第2种方法根据推导的任意互模糊函数间关系公式,采用归约方式去中心化的在各观测站并行计算余下互模糊函数,补全互模糊矩阵。两种方法都降低了直接定位数据传输量,提高了计算效率。性能分析和仿真实验表明本文两种方法精度性能优于两步定位方法,在低信噪比时两种方法都可达到比较理想的精度性能,在高信噪比时第2种方法与原始直接定位方法的精度性能相当。     

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。     

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.