A magnetic explanation for the rapid burster

The observations of X-ray Type II bursts from the low-mass X-ray binary MXB 1730-335 can be explained by a particular form of magnetic gating in the presence of steady external accretion. The requirements are a strong magnetic field of the neutron star (7×10¹¹–2×10¹² gauss at the surface), rotational symmetry and alignment of the field axis with the axis of a steadily accreting disk to within 6°.     

车牌识别预处理中的二值化及倾斜矫正算法

车牌识别中的预处理包括图像增强，二值化和噪声去除。由于车牌图像摄取的特殊性，使得车牌在图像中通常是倾斜的，而倾斜的车牌是很难被分割和识别的，因此车牌倾斜矫正已成为车牌识别系统中一个必需解决的问题。给出了基于图像特征线的二值化阈值确定和针对车牌图像的倾斜矫正改进算法，对车牌的水平和垂直方向分别采用了不同的矫正方法，实验结果表明此算法是快速有效的。     

分层嵌套重叠网格自适应树结构动态组装方法

采用重叠网格可以有效地进行复杂流动的大规模数值模拟,特别是包含运动部件(如旋翼、投弹)的动态模拟。本文将树结构的自适应直角网格用于重叠网格组装过程中的切割和贡献单元的搜索,大大加快重叠网格的组装速度。通过二叉树自适应直角网格对物体外形进行离散,实现切割过程的快速定位;采用八叉树自适应直角网格对流场区域进行离散,高效地搜索贡献单元。使用基于壁面距离准则的重叠区域最小化方法和分层嵌套重叠策略,能提高重叠网格组装的效率和质量。对于具有运动部件的动态重叠网格问题,采用多个二/八叉树减少组装过程中信息更新的冗余计算,从而大幅度减少重叠网格组装的时间消耗。实际算例的重叠网格组装结果说明本文发展的重叠网格组装方法具有很高的计算效率,可以满足运动边界复杂流动问题的动态计算要求。     

Constraints on a hadronic model for unidentified off-plane galactic gamma-ray sources

Recently the H.E.S.S. collaboration announced the detection of an unidentified gamma-ray source with an off-set from the galactic plane of 3.5°: HESS J1507-622. If the distance of the object is larger than about one kpc it would be physically located outside the galactic disk. The density profile of the ISM perpendicular to the galactic plane, which acts as target material for hadronic gamma-ray production, drops quite fast with increasing distance. This fact places distance dependent constraints on the energetics and properties of off-plane gamma-ray sources like HESS J1507-622 if a hadronic origin of the gamma-ray emission is assumed. For the case of this source it is found that there seems to be no simple way to link this object to the remnant of a stellar explosions.     

A new eclipsing low-mass X-ray binary with a giant companion

We detected hard X-ray emission from the unidentified Galactic bulge source 1RXS J175721.2-304405 with ASCA. The observed absorption column, flux and power-law index led us to consider that 1RXS J175721.2-304405 may be a new low-mass X-ray binary located near the Galactic center. Furthermore, the X-ray light-curve shows a step-function-like time variability, which is likely due to the occultation of a companion star. Future follow-up observations by missions such as ASTROSAT may reveal a periodic eclipse from 1RXS J175721.2-304405 if it is covered long enough. Since the long orbital period suggests a giant companion, follow-up observations will give firm evidence that 1RXS J175721.2-304405 is a new and rare eclipsing low-mass X-ray binary with a giant companion.     

基于图像处理技术的自动报靶系统设计和实现

提出了一种通过图像处理技术设计和实现的自动报靶系统。针对靶图像背景颜色对比度大的特点，采用一种基于灰度期望值的图像二值化算法，通过逐步分离的方法，将靶环从背景中分割出来；针对影响靶数精度的主要因素（图像的非线性畸变），将靶数分解为整数与小数两部分。整数部分根据靶图像的物理意义确定，对靶数精度不会造成任何损失；小数部分根据弹孔最内侧点在两条靶环之间的相对位置确定。试验结果表明，用该系统确定的靶数可以     

基于Huffman最优二叉树支持向量机的舱音记录器背景信号识别

飞行器舱音记录器(CVR)记录的舱音信号,通常是语音声、警告声、开关按钮声和背景噪声等混合而成.目前国内对该类信号的分析和辨别主要是计算机译码后利用人耳进行辨听,存在不易准确分辨各种独立声音信号的缺点.针对舱音信号是一种非平稳性的时频信号,提出了基于多尺度最优小波包基的CVR背景信号特征提取算法,将10种典型信号进行小波包分解,以分解得到的子带能量作为信号初始特征,再根据类间最大距离准则选取最优小波包基,从而确定待识别信号最具有代表性的特征向量,最后基于Huffman最优二叉树支持向量机进行CVR背景信号分类.仿真实验结果表明,该方法的平均识别率为94.62%,可以应用于CVR背景声音信号的自动识别.     

一种高效空间分割算法

针对三角面元目标提出了一种高效率的空间分割算法.该方法以一种空间点与单位立方体位置关系的判断法则为基础,并逐渐延拓到参数直线、三角形的空间分割上,给出了一种新的三角形面元目标快速分割的解决方法.介绍了该方法在参数曲线、NURBS(Non-Uniform Rational B-Spline)曲面目标的空间均匀分割上的应用,并给出了非均匀分割的处理方法.与计算机图形技术中最常用的BSP(Binary Space Partitioning)技术的比较中发现,对于特定情形,该算法的执行效率优于BSP法.通过实例证明了该算法的有效性和可靠性.     

基于二进制标签的改进HSSE—tree算法

随着对航天器自主生存能力要求的提高,基于模型的故障诊断成为国内外的研究热点.计算全体极小碰集是基于模型的故障诊断中的关键步骤,以HSSE-tree算法为基础,结合二进制位标记,提出一种HSSE-tree的高效改进算法——Binary-label HSSE.改进算法采用二进制位标记来代替实际节点元素,并采用了有效的剪枝策略及节点扩展方式,避免了HSSE-tree算法中存在的节点个数及超集个数随着问题规模增大而产生的爆炸式增长的问题;此外,改进算法采用二进制位运算,避免了判断碰集及判断是否超集时的元素遍历,使算法的运行时间进一步减少.仿真结果表明,与HSSE-tree算法相比,改进算法的消耗时间及占用内存均有了大规模减少.这为航天器系统的故障诊断及实时诊断提供了理论依据和应用基础.     

Reliability Analysis of Aircraft Condition Monitoring Network Using an Enhanced BDD Algorithm

The aircraft condition monitoring network is responsible for collecting the status of each component in aircraft. The reliability of this network has a significant effect on safety of the aircraft. The aircraft condition monitoring network works in a real-time manner that all the data should be transmitted within the deadline to ensure that the control center makes proper decision in time. Only the connectedness between the source node and destination cannot guarantee the data to be transmitted in time. In this paper, we take the time deadline into account and build the task-based reliability model. The binary decision diagram (BDD), which has the merit of efficiency in computing and storage space, is introduced when calculating the reliability of the network and addressing the essential variable. A case is analyzed using the algorithm proposed in this paper. The experimental results show that our method is efficient and proper for the reliability analysis of the real-time network.