承受单向静拉应力的有限宽板双边对称裂纹尖端I_1/σ_(mises)的分布函数

采用线弹性有限元方法分析了承受单向静拉应力的有限宽板双边对称裂纹尖端的Mises应力和应力第一不变量I1的分布特性及其影响因素,在此基础上建立了裂纹尖端I1/σmises的分布函数,该函数仅与泊松比和裂纹长度相关,与板厚、弹性模量和加载名义应力无关;应用该分布函数可很好的解释厚板断裂行为特征。     

广义Burgers方程的对称分类及其约化

利用李群方法对广义Burgers方程ut+f(x,t)(ux-uxx)=0的对称分类及其约化作具体讨论,其中f是关于自变量x,u的光滑函数,得到了f(x,t)的八种分类对称及相应的约化方程.该结果对于广义Burgers方程精确解的研究有重要意义.     

Chetaev型非完整系统Nielsen方程Lie对称性导致的一种守恒量

研究Chetaev型非完整系统Nielsen方程Lie对称性导致的一种守恒量,给出无限小群变换下Chetaev型非完整系统Nielsen方程Lie对称性的确定方程,得到Chetaev型非完整系统Nielsen方程Lie对称性直接导致的一种守恒量及其存在条件,并举例说明结果应用.     

A symmetry based multiobjective clustering technique for automatic evolution of clusters

In this paper the problem of automatic clustering a data set is posed as solving a multiobjective optimization (MOO) problem, optimizing a set of cluster validity indices simultaneously. The proposed multiobjective clustering technique utilizes a recently developed simulated annealing based multiobjective optimization method as the underlying optimization strategy. Here variable number of cluster centers is encoded in the string. The number of clusters present in different strings varies over a range. The points are assigned to different clusters based on the newly developed point symmetry based distance rather than the existing Euclidean distance. Two cluster validity indices, one based on the Euclidean distance, XB-index, and another recently developed point symmetry distance based cluster validity index, Sym-index, are optimized simultaneously in order to determine the appropriate number of clusters present in a data set. Thus the proposed clustering technique is able to detect both the proper number of clusters and the appropriate partitioning from data sets either having hyperspherical clusters or having point symmetric clusters. A new semi-supervised method is also proposed in the present paper to select a single solution from the final Pareto optimal front of the proposed multiobjective clustering technique. The efficacy of the proposed algorithm is shown for seven artificial data sets and six real-life data sets of varying complexities. Results are also compared with those obtained by another multiobjective clustering technique, MOCK, two single objective genetic algorithm based automatic clustering techniques, VGAPS clustering and GCUK clustering.     

基于加权对称图像的二维FDA人脸识别算法

提出一种融合加权对称图像的二维FDA人脸识别算法。将人脸图像分解为奇偶对称脸,并利用加权因子将奇偶对称脸重构新的人脸样本,通过二维FDA算法求解新样本图像的最优特征子空间进行人脸分类。有效融合二维FDA算法的优点,并利用人脸对称性的特征,同时进一步分析加权因子对人脸识别效果的影响,通过选取最优加权因子最大地提高识别率。在人脸图像库ORL中进行的实验结果表明,该算法有效并能获得较高的识别率。     

投影深度向量分解融合PEMS的视角不变人体动作识别

针对摄像机内部参数的不确定性和投影平面选择难的问题,提出一种新的投影深度算法用于视角不变的动作识别,该算法采用对称镜面提取平面(PEMS)策略,有效解决了投影平面选择难的问题。首先通过摄像机组观察获得3D动作姿势,然后运用PEMS策略从场景中提取平面,相对于提取平面估计身体点的投影深度,最后使用这个信息进行动作识别。该算法的核心是投影平面的提取和投影深度组成向量的求解。利用本文算法在CMU MoCap数据集、TUM数据集和多视图IXMAS数据集上进行测试,精度可分别高达94%、91%和90%,且在较少动作实例情况下,仍然能够准确定义新动作。比较表明,本文算法的人体动作识别性能明显优于其他几种较新的算法。     

Analysis of weight distribution strategies in unilateral transtibial amputees during the stand-to-sit activity.

Current methods of quantifying the stand-to-sit activity (StTS) are resource intensive and have not been applied to unilateral transtibial amputees (TTAs). The purpose of this study is to define five phases of arm-rest assisted and unassisted StTS using simple instrumentation and implement this method for assessing TTA movement patterns. Twelve TTAs and 12 age-matched non-amputees performed StTS with and without arm-rest support. Symmetry of weight distribution between lower limbs was calculated for five StTS phases: Descent Initiation; Descent Deceleration; Seat-Contact; Stabilisation and Sitting. TTAs demonstrated an asymmetrical weight distribution pattern and a tendency to transfer weight to the intact limb during the course of the activity. Non-amputees had relatively higher symmetry and did not exhibit substantial weight shifts during the activity. Symmetry indices were similar for assisted and unassisted sitting in both subject groups. These results highlight a need for therapeutic interventions in TTAs for reducing loading asymmetries and associated co-morbidities.     

无线传感器网络轻量级数据加密机制设计

针对无线传感器网络处理能力、存储空间、能量等有限的特点,设计了轻量级数据加密机制。该机制对RC6算法进行了改进,添加了"对称层"运算,使改进后的RC6算法在运算工作量变化不大的情况下,硬件实现更加容易,硬件资源消耗更小。为进一步提高密文的安全性与数据加密强度,使用双密钥对明文进行两级加密,并引入了随机密钥管理机制,使网络节点每次加密时都能使用不同的密钥,提高了密钥的安全性。数据加密机制还使用了节点ID认证、带有身份标识的密钥池认证等多种安全认证机制来阻止非法节点的接入。实验基于低功耗Cortex-M3内核的控制芯片搭建无线传感器网络节点硬件平台,设计了通信协议,并在硬件平台上移植与实现了该机制。实验结果表明,该加密机制能够很好地在低功耗平台上运行。     

一种通用的局部内蕴对称检测算法

局部内蕴对称在三维几何体中更具一般性,其检测对形状分析具有重要意义,但由于其求解的复杂性,使得局部内蕴对称的检测非常困难.文中面向三维网格模型,提出一种包括反射和平移等变换的通用局部内蕴对称检测算法.该算法使用选举和谱分析方法以及迭代精化对称对应矩阵,求解出更加精确、通用的局部内蕴对称性;进一步,根据对称检测结果对模型进行分割,得到有意义的分割结果.实验结果表明,采用文中算法可以正确地求解出通用的局部内蕴对称性,并能在通用对称属性引导下生成有意义的模型分割结果.     

一类新的广义形态学混合滤波器

传统形态学滤波器滤波后的图像灰度值产生偏移,滤波算子抑制噪声效果较差.基于双路对偶形态学算子的混合滤波器解决了传统形态学滤波器存在的灰度值偏移问题,但运算次数多,处理速度较慢.提出了广义混合交变序列滤波器,该滤波器继承了一般混合交变序列滤波器的重要性质,保持了对偶滤波器的强对称性,且运算量减少了一半.仿真实验表明,该混...