用单幅线图恢复物体三维拓扑结构

将物体从场景中识别出来，人类大量使用的是匹配物体的拓扑结构，所在研究恢复物体的拓扑结构有相当重要的意义，本文在详细考察人类读图习惯思维过程之后，提出了符合人类习惯的局部柱假设和广义局部柱假设，进而给出了一种仅用单幅线图恢复物体三维拓扑结构的算法、很好地模拟了人类的思维过程。本算法在ＰＣ计算机上用Ｐｒｏｌｏｇ语言实现，并用多幅多面体线图进行三维恢复，都获得了满意的结果。     

基于现场总线技术的智能小区控制系统

现场总线被誉为自动化领域的局域网,它开启了自动控制领域的新时代。本文简要介绍了现场总线的概念及特点,讨论了LonWorks应用于智能小区的关键技术,较详细地介绍了基于LonWorks现场总线的智能小区控制系统的结构,并对本小区控制系统的功能作了简要说明。     

升交点赤经与轨道倾角对地球同步卫星地影的影响

为精确预报地球同步卫星地影，根据其发生原理用仿真分析法研究了升交点赤经和轨道倾角两个因素对地影的影响，给出了地影延续时间和最长日期变化等天数曲线。在实际的同步卫星长期管理中运用这些规律，取得了良好的效果。     

Numerical studies of static aeroelastic effects on grid fin aerodynamic performances

The grid fin is an unconventional control surface used on missiles and rockets. Although aerodynamics of grid fin has been studied by many researchers, few considers the aeroelastic effects.In this paper, the static aeroelastic simulations are performed by the coupled viscous computational fluid dynamics with structural flexibility method in transonic and supersonic regimes. The developed coupling strategy including fluid–structure interpolation and volume mesh motion schemes is based on radial basis functions. Results are presented for a vertical and a horizontal grid fin mounted on a body. Horizontal fin results show that the deformed fin is swept backward and the axial force is increased. The deformations also induce the movement of center of pressure, causing the reduction and reversal in hinge moment for the transonic flow and the supersonic flow,respectively. For the vertical fin, the local effective incidences are increased due to the deformations so that the deformed normal force is greater than the original one. At high angles of attack, both the deformed and original normal forces experience a sudden reduction due to the interference of leeward separated vortices on the fin. Additionally, the increment in axial force is shown to correlate strongly with the increment in the square of normal force.     

Adaptive mesh refinement computation of acoustic radiation from an engine intake

A block-structured adaptive mesh refinement (AMR) method was applied to the computational problem of acoustic radiation from an aeroengine intake. The aim is to improve the computational and storage efficiency in aeroengine noise prediction through reduction of computational cells. A parallel implementation of the adaptive mesh refinement algorithm was achieved using message passing interface. It combined a range of 2nd- and 4th-order spatial stencils, a 4th-order low-dissipation and low-dispersion Runge–Kutta scheme for time integration and several different interpolation methods. Both the parallel AMR algorithms and numerical issues were introduced briefly in this work. To solve the problem of acoustic radiation from an aeroengine intake, the code was extended to support body-fitted grid structures. The problem of acoustic radiation was solved with linearised Euler equations. The AMR results were compared with the previous results computed on a uniformly fine mesh to demonstrate the accuracy and the efficiency of the current AMR strategy. As the computational load of the whole adaptively refined mesh has to be balanced between nodes on-line, the parallel performance of the existing code deteriorates along with the increase of processors due to the expensive inter-nodes memory communication costs. The potential solution was suggested in the end.     

深过冷快速凝固Fe82.5Ni17.5合金的组织演化

采用熔融玻璃净化结合循环过热的方法,使Fe82.5Ni17.5合金获得了330 K的最大初始过冷度.结合理论计算和组织观察,对Fe82.5Ni17.5合金在深过冷条件下的凝固行为和组织形成规律进行了研究.结果表明,过冷度△T＜63 K时,合金的凝固组织为粗大的树枝晶;当63 K＜△T＜158 K时,凝固再辉所产生的重熔效应非常强烈,受此影响,初生的树枝晶被熔断,形成了细化的粒状晶组织;当过冷度进一步增大至158 K＜△T＜203 K时,再辉所产生的重熔效应大大降低,凝固组织进一步演变为发达的树枝晶组织;而当△T＞203 K时,凝固组织的晶粒细化源于快速凝固体积骤变所产生收缩应力导致的初生枝晶碎断.     

双边界代数法在喷管内流场网格生成中的应用

用一种双边界代数方法生成二维网格，通过在超限插值函数中引入边界的一阶导数实现网格与边界是的正交，采用几何一致性条件保证物理区域不变形，发展一系列拉伸方程控制网格在边界或给定位置的间距。应用此方法生成了满意的喷管内流场网格，网格生成效率明显优于微分方程网格生成方法。     

网格分区构筑中区域边界的隐式处理方法

介绍一种网格分区构筑中区域边界的隐式处理方法──ADMZI法。该方法具有简单实用、数据结构灵活等特点,特别适合于区域边界难以确定的情况。将该方法应用于多级火箭级间分离时的流场物理域网格构筑,结果证明是成功的。     

基于局部单应性矩阵的图像拼接与定位算法研究

针对单个摄像机的视野范围有限导致在大场景下监控效果不够理想的问题,提出了一种改进的图像拼接与目标定位算法。该算法以多个摄像机获取的具有共视区域的监控图像为基础,通过对图像进行网格划分后分别计算多个局部单应性矩阵完成初步对准,然后对网格顶点进行微调优化完成最后配准。最后对图像进行融合形成无缝、自然的大视角图像,并利用场景信息在获取的全景图像上对目标进行快速定位,以满足监控人员对场景中目标的全景捕捉分析功能。实验结果表明,该算法能显著提高大场景下图像拼接结果的质量并实现目标的快速定位。     

基于主动轮廓法的复杂背景下飞机图象的轮廓提取

研究了一种适合于复杂背景下单个目标轮廓提取的方法———主动轮廓法(ActiveContourModel)。主动轮廓法是统计学分割方法的一种。基于统计学意义上的图象分割是把图象中各个象素点的灰度看作具有一定概率分布的随机变量 ,观察到的图象是对实际物体作了某种变换并加入噪声的结果。从观察到的图象中正确分割图象从统计学的角度讲就是要找到最有可能的 (即概率最大 )的物体组合。主动轮廓法就是基于这种概率最大的思想提出来的。研究过程中 ,对原有方法进行了大的改进 ,增强了主动轮廓法对初始形状的鲁棒性 ,保持了轮廓的光滑性。仿真中 ,应用该方法提取飞机图象的轮廓 ,取得了较好的效果 ,计算所用的时间少。