低能质子对卫星热控涂层太阳吸收率的影响

空间低能质子由于沉积能量在表层对卫星外露热控涂层太阳吸收率参数有较大影响,文章首次对地球同步轨道卫星6种热控涂层进行低能质子辐照试验研究,试件是S781有机白漆、SR107-ZK有机白漆、ACR-1有机白漆、OSR二次表面镜、F46二次表面镜和Kapton二次表面镜。试验采用能量48keV的质子,在真空条件下累积辐照360h,累计注量达到2×10~(15)p/cm~2。在辐照过程中原位测量热控涂层的太阳吸收率参数。这些热控涂层的太阳吸收率参数都有不同程度的明显上升。其中,有机白漆类热控涂层的太阳吸收率参数上升最快,其次是塑料薄膜类热控涂层(F46二次表面镜和Kapton二次表面镜),最稳定的是玻璃类热控涂层(OSR二次表面镜)。对试验前后试件的SEM分析和XPS分析表明,热控涂层中的颜料结构和聚合物结构在辐照下发生变化,形成不饱和链发色团和色心,使原来透明聚合物和高反射的颜料对太阳光产生吸收,从而引起热控涂层太阳吸收率参数上升。     

Multi-target Collaborative Combat Decision-Making by Improved Particle Swarm Optimizer

A decision-making problem of missile-target assignment with a novel particle swarm optimization algorithm is proposed when it comes to a multiple target collaborative combat situation.The threat function is established to describe air combat situation.Optimization function is used to find an optimal missile-target assignment.An improved particle swarm optimization algorithm is utilized to figure out the optimization function with less parameters,which is based on the adaptive random learning approach.According to the coordinated attack tactics,there are some adjustments to the assignment.Simulation example results show that it is an effective algorithm to handle with the decision-making problem of the missile-target assignment(MTA)in air combat.     

一种空间用抗原子氧复合膜β布的原子氧、温度、紫外辐射效应的试验研究

在原子氧剥蚀效应地面模拟设备中对一种抗原子氧复合材料β布进行了原子氧剥蚀效应试验、试样湿度升高对原子氧效应的影响试验以原子氧与紫外辐射复合效应试验研究，对试验前后β布试样的质量及表面形貌进行了比较，得出了在材料在设备中的反应特点以及温度变化、紫外辐射对材料的原子氧效应的影响规律。另外对这种材料与原子氧的反应机理进行了分析，得出了一些有意义的结论。     

挤压铸造SiCw／L3复合材料的热挤压

研究了挤压铸造ＳｉＣｗ／Ｌ３复合材料不同温度下的热挤压行为。通过图像分析和性能测试对ＳｉＣｗ／Ｌ３复合材料热挤压棒中晶须关态和挤压棒的性能进行了分析和测定。     

Crater detection via genetic search methods to reduce image features

Recent approaches to crater detection have been inspired by face detection’s use of gray-scale texture features. Using gray-scale texture features for supervised machine learning crater detection algorithms provides better classification of craters in planetary images than previous methods. When using Haar features it is typical to generate thousands of numerical values from each candidate crater image. This magnitude of image features to extract and consider can spell disaster when the application is an entire planetary surface. One solution is to reduce the number of features extracted and considered in order to increase accuracy as well as speed. Feature subset selection provides the operational classifiers with a concise and denoised set of features by reducing irrelevant and redundant features. Feature subset selection is known to be NP-hard. To provide an efficient suboptimal solution, four genetic algorithms are proposed to use greedy selection, weighted random selection, and simulated annealing to distinguish discriminate features from indiscriminate features. Inspired by analysis regarding the relationship between subset size and accuracy, a squeezing algorithm is presented to shrink the genetic algorithm’s chromosome cardinality during the genetic iterations. A significant increase in the classification performance of a Bayesian classifier in crater detection using image texture features is observed.     

基于比刚度最大的球铰接杆式支撑臂参数设计

球铰接杆式支撑臂的构型参数设计决定了支撑臂的质量、收拢包络尺寸、刚度和强度等特性。文章提出了一种基于球铰接杆式支撑臂展开后比刚度最大的构型参数设计方法,利用MATLAB和ANSYS联合仿真,分析了不同构型参数组合下支撑臂比刚度的变化规律。结果表明,对于20~100m范围内的球铰接杆式支撑臂,纵梁与横杆的长度比及套筒半径的优选范围随支撑臂总长度增加而增加。当支撑臂总长度分别为20m、60m和100m时,对应的套筒半径优选范围分别为0.3~0.4m、0.5~0.7m和0.6~0.9m。提出了基于比刚度最大的支撑臂参数设计流程。利用提出的设计方法对SRTM任务中球铰接杆式支撑臂进行了构型参数设计,设计结果与ADAM杆构型参数相近,表明设计方法正确、可行。     

基于聚类最近数据关联的多目标跟踪算法

提出了一种基于聚类最近数据关联的多目标跟踪算法.建立了基于目标位置、目标大小和目标灰度的3层匹配距离,将3个距离加权综合得到目标匹配的距离函数.以目标链为基准寻找与其存在最小匹配距离关系的观测目标作为目标链的数据后继,再以此观测目标为基准寻找与其存在最小匹配距离关系的目标链作为该目标的数据前驱.当且仅当匹配对象之间前驱与后继关系同时成立时认为二者匹配成功.将已有目标链分为4类,将当前帧观测目标分为2类.分析各类数据间可能存在的匹配关系,利用上述方法进行匹配运算.对于目标遮挡等情况,基于目标运动轨迹的瞬时直线性和均值滤波原理,将某时间段内的目标质心坐标作为输入数据得到回归直线,预测下一时刻的目标质心位置.目标大小和灰度预测数据由该时间内均值滤波得到.本算法在多人体跟踪实验中取得良好效果.     

基于频响函数模型修正影响因素的仿真

首先推导了基于频响函数模型修正的理论公式,在此基础上通过平面桁架模型修正的仿真算例,比较研究了基于频响函数模型修正方法具体实现过程中数据测量噪声、频率点选择以及频段选择等因素对修正结果的影响。研究表明,频率点的选择是基于频响函数模型修正的关键因素,合理的频率点选择既能够减小计算量,降低修正方程的条件数,同时还能够抑制测量噪声的影响;此外,提高实测数据的精度,增加修正频段的宽度也是改善模型修正效果的有效手段。     

SOFT IMAGE SEGMENTATION BASED ON CENTER-FREE FUZZY CLUSTERING

Image segmentation remains one of the major challenges in image analysis.And soft image segmentation has been widely used due to its good effect.Fuzzy clustering algorithms are very popular in soft segmentation.A new soft image segmentation method based on center-free fuzzy clustering is proposed.The center-free fuzzy clustering is the modified version of the classical fuzzy C-means ( FCM ) clustering.Different from traditional fuzzy clustering , the center-free fuzzy clustering does not need to calculate the cluster center , so it can be applied to pairwise relational data.In the proposed method , the mean-shift method is chosen for initial segmentation firstly , then the center-free clustering is used to merge regions and the final segmented images are obtained at last.Experimental results show that the proposed method is better than other image segmentation methods based on traditional clustering.     

雷达对抗兵棋中的棋子设计与应用

棋子作为兵棋推演的基础体系,关系着兵棋开发的成败,兵棋的棋子设计是兵棋开发的基础工作。雷达对抗兵棋既要具备常规兵棋的一般特点,也要具备自身领域特色。从分析雷达对抗兵棋棋子的特点出发,重点找出各类棋子的主要属性,对雷达、雷达干扰、雷达诱饵、反辐射武器等棋子进行了设计,并分析了雷达对抗兵棋的典型应用。