模糊相似度景像匹配算法研究

研究了求取图像模糊特征域的计算方法,提出了采用图像模糊集相似度进行景像匹配的方法,并探讨了综合利用多种模糊集相似度算法进行匹配的方法,进一步提出了模糊综合相似度(FSSM)匹配算法.仿真验证表明,FSSM算法具有适应性好、匹配率高等优点,且实时性也较好,为飞行器实时景像匹配提供了一种可行方法.     

雷暴云准静电场和夜间低电离层的电离

用点电荷模型计算雷暴云突然放电后形成的准静电后形成的准静电场随高度的分布，以E/N（E的电场大小，N为大气密度）为输入参量，在一定条件下，对Boltzmann方程数值求解，计算电离层电子数密度的扰动。计算结果表明，在约70-90km之间，在约放电后的10ms内，准静电场大于中性大气的击穿电场，将引起大气的雪崩电离，从而引起夜间低电离层电子密度的显著增加，但这种电子密度的增加是暂的，在很短的时期内就恢复到平静时的水平，恢复时间随高度的变化而不同。     

彩色三维激光快速成型技术的研究

目前逆向工程采用线结构激光和一个彩色面阵CCD摄像机构成三维彩色扫描系统,彩色CCD摄像机分两次对被测物体成像,首先摄取物体的彩色图片,然后加用滤光片再摄取激光光平面上的三维信息.最后将两次获取的信息重叠,便可得到三维彩色信息.提出了激光光平面方程式三维测量方法,建立了相应的数学模型.研制成一套适用于彩色逆向工程流程,并进行了实验研究,给出了实验结果.     

舰载飞机自动着舰系统的研究

介绍了舰载飞机的自动着舰系统（包括了飞机的飞行控制系统，推力控制系统及航空母舰的导引系统），并指出只有精确地控制飞机的不滑轨迹，才能使飞机在航空母舰上安全降落，本文着得讨论俯仰指令型的纵向自动着舰系统的原理、结构及设计，并指出导引指令中对舰体运动的补偿。     

Ada软件的动态测试技术研究

为改善软件质量，对Ａｄａ软件的动态测试技术进行了研究，并且就以下内容着重进行了讨论；Ａｄａ软件的分析与理解；Ａｄａ软件的动态测试原则与方法；Ａｄａ软件的动态测试工具ＡＳＤＴ。     

化学物质释放人工改变电离层

考虑中性气体在电离层高度的扩散过程和相应的电离层离子化学过程，研究了利用主动化学物质释放来改变电离层的方法，理论计算了H2O和SF6两种气体释放后电离层随时间的响应过程，结果表明，在电离层高度上气体的扩散过程非常迅速，电离层F区的电子密度有很大程度的减少，而扩散慢且化学反应快的气体对电离层的影响更大，就更加有利于电离层洞的形成。     

结构优化中的混合变量应力约束近似方法

提出一种处理结构优化应力约束的新近似方法，以往一般直接对应力约束按设计变量近似，本文用近似内力间接近似应力约束以得到更高的近似质量，根据对内力和设计变量关系分析，提出了内力按混合变量一阶泰勒展开的高捏近似方法。近似优化问题用约束变尺度法求解，最后按出了几个典型例题。结果表明该方法简单，有效，可靠。     

基于SPCE061A数字语音温度控制系统的设计

以凌阳SPCE061A单片机为控制核心,设计并制作了一款具有温度设定灵活、数字显示及语言播报功能的水温控制器,通过PID控制算法产生脉宽调制波,提高了控制精度。实践表明:该水温控制器达到了设计要求,有一定的实用开发价值。     

Low-latitude storm time ionospheric predictions using support vector machines

The electromagnetic drift plays an important role in low-latitude storm time ionospheric dynamics. In this study we attempt to utilize the electric field data into ionospheric predictions by using support vector machine (SVM), a promising algorithm for small-sample nonlinear regressions. Taking the disturbance electric field data as input, different SVMs have been trained for three seasonal bins at two stations near the north crest of the Equatorial Ionization Anomaly (EIA). Eighteen storm events are used to check out their predicting abilities. The results show fairly good agreement between the predictions and observations. Compared with STORM, a widely used empirical correlation model, the SVM method brings a relative improvement of 23% for these testing events. Based on this study we argue that the SVM method can improve the storm time ionospheric predictions.     

Air route network optimization in fragmented airspace based on cellular automata

Air route network optimization,one of the essential parts of the airspace planning,is an effective way to optimize airspace resources,increase airspace capacity,and alleviate air traffic con gestion.However,little has been done on the optimization of air route network in the fragmented airspace caused by prohibited,restricted,and dangerous areas (PRDs).In this paper,an air route network optimization model is developed with the total operational cost as the objective function while airspace restriction,air route network capacity,and non-straight-line factors (NSLF) are taken as major constraints.A square grid cellular space,Moore neighbors,a fixed boundary,together with a set of rules for solving the route network optimization model are designed based on cellular automata.The empirical traffic of airports with the largest traffic volume in each of the 9 flight information regions in mainland China is collected as the origin-destination (OD) air port pair demands.Based on traffic patterns,the model generates 35 air routes which successfully avoids 144 PRDs.Compared with the current air route network structure,the number of nodes decreases by 41.67％,while the total length of flight segments and air routes drop by 32.03％ and 5.82％ respectively.The NSLF decreases by 5.82％ with changes in the total length of the air route network.More importantly,the total operational cost of the whole network decreases by 6.22％.The computational results show the potential benefits of the model and the advantage of the algorithm.Optimization of air route network can significantly reduce operational cost while ensuring operation safety.