三维水动力学模型高精度差分格式和解法研究

采用高精度差分格式对三维水动力学问题的时均化Navier-Stokes方程进行了数值模拟，进而采用广义共轭剩余法（GCR方法）求解压力泊松方程，并采用显式三级二阶Runge-Kutts格式模拟了时间步进过程。傅立叶分析表明，文中所采用的三阶迎风紧致差分格式具有较高的精度，数值实验进一步验证了上述数值模型的准确性和有效性。     

基于语义网络的方案设计过程表达与推理

从基于机械运动方案设计的表达方法必须能支持概念设计全过程的思想出发，提出计算机辅助概念设计系统必须能够表达设计方案、产生方案、产生多个方案和确定最优方案．根据方案表达方法应具备的基本功能要求，选用语义网络技术表达设计方案过程、工艺动作、机构及其相互间的关系，通过对设计方案中机构时间配合及其影响的表达和调整实现了方案设计运动循环图表达的计算机辅助化．利用基于语义网络表示的不确定性推理技术构造待求问题的语义网络片断，通过已有设计实例与设计要求的属性值与属性值、属性值与属性值域、属性值域与属性值域三者的匹配比较构造贴近度计算公式，并对工业平缝机中的挑线机构进行了机构选型．实例证明了击模型的正确、实用性．     

基于二维提升方案的可逆双正交小波变换在渐进性无损图像压缩中的应用

分析了一维(基于行、列分解和重构)提升方案的特点，从理论上指出了一维提升方案的不足之处，提出了二维(基于子带分解和重构)提升方案，并给出了CDF(1，3)双正交小波二维提升方案的具体形式，改进的提升方案弥补了一维提升方案的不足之处，不需作‘√2’因子和归一化处理，整个小波变换是可逆的、基于整数运算的、能量守恒的，减少了误差传递的机会，用该小波变换实现了快速的、渐进性的直至无损图像压缩。     

一种新的基于投影矩的三维图像配准方法

提出一种投影矩的概念，并将其用于三维医学图像的配准．与传统的几何矩相比，投影矩不仅可以完各地描述图像的特征，而且计算量较小，因而可以将其用于三维图像的实时配准．选取待配准的2幅三维图像若干阶投影矩差的平方和为目标函数，采用Powell方法求取最优解，得到配准结果．将方法应用于一些模拟和实际数据，获得了较高精度的实验结果；并且缩短了整个计算过程的时间．这表明投影矩在多模态医学图像的配准和融合等方面具有潜在的实用价值．     

Shift visual cryptography scheme of two secret images

A new visual cryptography scheme of two secret images, which is named the shift visual cryptography of two secret images, is given. The compound function family of a general construction model is also introduced. The uniqueness and validity of this model are proved, and the minimum rows and columns for realizing the scheme are obtained. Compared with visual cryptography of one secret image, the shift visual cryptography scheme can share two secret images with the same size of pixels expansion without losing the contrast. It has randomness and various forms, and furthermore, we can also visually recover two secret images even if the two shares are different in form and color.     

A model for assessing effects of climate change on runoff in China

A model is established for assessing the effects of climate change on runoff in China based on the land surface parameterization scheme variable infiltration capacity (VIC). The entire area of China is represented by 2604 cells with a resolution of 60 km×60 km for each cell. Forcing data, soil and vegetation parameters needed by the VIC model for the entire area of China are prepared. Daily forcing data, which are obtained from 740 stations between 1980 and 1990, are interpolated to the 60 km×60 km grid system. The VIC model is run on every grid cell over the whole China, and a routing scheme is run offline with daily input of surface runoff and drainage from the VIC to get hydrograph at basin outlets. The spatial patterns of simulated runoff and mean annual precipitation are consistent very well. The results of monthly streamflow simulations over the Huaihe and Weihe River basins indicate that there is a good agreement between the observed and simulated values, and also initially indicate the rationality and feasibility of the evaluation model.     

Compact difference approximation with consistent boundary condition

For simulating multi-scale complex flow fields it should be noted that all the physical quantities we are interested in must be simulated well. With limitation of the computer resources it is preferred to use high order accurate difference schemes. Because of their high accuracy and small stencil of grid points computational fluid dynamics (CFD) workers pay more attention to compact schemes recently. For simulating the complex flow fields the treatment of boundary conditions at the far field boundary points and near far field boundary points is very important. According to authors' experience and published results some aspects of boundary condition treatment for far field boundary are presented, and the emphasis is on treatment of boundary conditions for the upwind compact schemes. The consistent treatment of boundary conditions at the near boundary points is also discussed. At the end of the paper are given some numerical examples. The computed results with presented method are satisfactory.     

基于扩展Kalman滤波的声阵列定位数据融合算法

利用各阵元和目标相对于一中心阵元的几何关系建立目标运动方程，坐标变换方程和声阵列测量方程，并以此建立了声阵列目标定位模型。在此基础上提出了基于扩展Kalman滤波算法的目标定位数据融合算法。通过地面目标和空中目标的计算机仿真表明，本算法能够有效地克服由于智能雷布阵的随机性给智能雷定位数据估计带来的困难，对声阵列定位数据也能进行较好的融合，对提高定位精度有一定效果。     

Multisymplectic five-point scheme for the nonlinear wave equation

In this paper, we introduce the multisymplectic structure of the nonlinear wave equation, and prove that the classical five-point scheme for the equation is multisymplectic. Numerical simulations of this multisymplectic scheme on highly oscillatory waves of the nonlinear Klein-Gordon equation and the collisions between kink and anti-kink solitons of the sine-Gordon equation are also provided. The multisymplectic schemes do not need to discrete PDEs in the space first as the symplectic schemes do and preserve not only the geometric structure of the PDEs accurately, but also their first integrals approximately such as the energy, the momentum and so on. Thus the multisymplectic schemes have better numerical stability and long-time numerical behavior than the energy-conserving scheme and the symplectic scheme.     

基于神经网络技术提高红外气体分析器的选择性

应用前馈神经网络算法消除非目标参量对主传感器的干扰,从而提高了红外气体分析器的选择性.以检测甲烷为例,在干扰气体乙烯的体积分数变化了7600×10-6时,经神经网络融合处理后,分析器的选择性系数从3.17提高到422,主传感器输出的引用误差从58%降为0.65%,实现了对甲烷的准确识别.实验结果表明,该方法具有实际应用前景.