多品种供应的多供应商选择模型及分解算法

为解决供应链中多品种供应的多供应商选择问题，建立了以供应综合成本最低为目标函数、满足多个约束条件的组合优化模型．为解决求解的困难，采用变换分解算法，将原模型转换为整数规划问题．根据不同迭代方式，给出了2种基本运算步骤．在算例中运用模型和算法，得到了多物资供应环境下多供应商的最优任务分派．新方法克服了常规供应商的选择评价方法只针对单一物资供应过程和面向单一供应商选择过程的局限性．     

一种搜索孪生素数的方法

给出了一种搜索孪生素数的方法，在这种搜索算法的基础上，既得到了孪生素数猜想的一个等价命题，也得到了偶数可德巴赫猜想的一个等价命题。     

基于特征正交分解的空间变异地震动模拟

结合模态截断技术，导出了特征正交分解型谱表示法的随机模拟公式．给出了空间变异地震动的随机描述，并通过引入对地震动谱矩阵的预分解，导出了用于平稳空间变异地震动随机模拟的简化计算公式，避免了较耗时的对复矩阵求特征值的运算．简化公式同样可用快速傅立叶变换算法加速，较之原有模拟方法具有较高的计算效率．最后，模拟了龙潭河特大桥桥址处的空间变异地震动，说明了所推导的方法是正确的，同时形象地说明了地震动特征正交分解模态的物理意义．     

噪声背景下提取调制信息的改进奇异值分解技术

在介绍现有奇异值分离技术基本原理及其在故障诊断中的应用的基础上，研究了利用信号时间序列重构的吸引子轨迹矩阵奇异值分布特征与信号特征的关系，引入自相关函数定量计算重构矩阵的延时步长，改进了现有算法，使得吸引子轨迹矩阵的重构更加合理。研究表明该方法能在强噪声背景下提取出所需的调制信号，并成功用于齿轮箱调制故障信号的提取。     

基于SVM和小波边缘检测的车型图像识别

在基于小波边缘检测和SMO算法的基础上进行车型图像识别,首先将待识别目标进行二维小波分解,获取不同尺度下的小波系数,然后对其进行主元分析,得到的主元作为支持向量机的特征量输入.实验结果表明,该方法具有良好的分类性能.     

AN EXPERIMENTAL STUDY ON REMOVAL OF NOx IN FLUE GAS AT THENONEQUILIBRIUM PLASMA

Removal of nitrogen oxides (NOx) in flue gas by means of nonequilibrium plasma technology is a very prospect and attractive method. As the nonequilibrium plasma micro discharges can generate a powerful energy flux, imparted to the flue gas, the molecules and atoms of pollutants are motivated and decomposed, and then NOx in the flue gas are decomposed and conversed in the particular conditions. Based on nonequilibrium plasma in combination with catalytic principle, an experimental investigation on NOx decomposition and conversion with AI2 03 catalysts was carriedout and the NOx removal rate up to 95% was obtained. The NOx decomposition and conversion principle with AI2O3 catalysts was also discussed.     

Network Decomposition and Maximum Independent Set Part Ⅱ：Application Research

According to the researches on theoretic basis in part I of the paper，the spanning tree algorithms solving the maximum independent set both in even network and in odd network have been developed in this part，part Ⅱ of the paper．The algorithms trans form first the general network into the pair sets network，and then decompose the pair sets network into a series of pair subsets by use of the characteristic of maximum flow passing through the pair sets network．As for the even network，the algorithm requires only one time of trans formation and decomposition，the maximum independent set can be gained without any iteration processes，and the time complexity of the algorithm is within the bound of O(｜V｜^3)．However，as for the odd network，the algorithm consists of two stages．In the first stage，the general odd network is transformed and decomposed into the pseudo-negative envelope graphs and generalized reverse pseudo-negative envelope graphs alternately distributed at first；then the algorithm turns to the second stage，searching for the negative envelope graphs within the pseudo-negative envelope graphs only．Each time as a negative envelope graphhas been found．renew the pair sets network by iteration at once．and then tum back to the first stage．So both stages form a circulation process up to the optimum．Two available methods，the adjusting search and the picking-off search are specially developed to deal with the problems resulted from the odd network．Both of them link up with each other harmoniously and are embedded together in the algorithm．Analysis and study indicate that the time complexity of this algorithm is within the bound of O(｜V｜^5)．     

运行模态分析技术在桥梁状态评估中的应用

在输出功率谱的基础上建立了桥梁运行模态分析方法——频域分解法。该方法利用来往车辆激励的响应测量数据,进行无偏功率谱分析,然后对响应谱矩阵进行奇异值分解来识别桥梁的模态参数。该方法保留了传统频域法快速简便的特点,还可以解决传统频域法不能识别近频和重频模态的问题。通过实桥测试,证明该方法可用于桥梁承载力和使用状况评估。     

基于小波变换的图像融合算法研究

提出了一种新的基于小波多尺度分解的分层图像融合方法；总结出基于小波分解子图像面积比和低频系数均方根误差2个标准，来确定最佳小波分解层数的方法。通过仿真实验，对分解层数、区域大小对该融合方法的性能影响进行了比较分析，并得出融合结果，将其与金字塔算法融合结果进行了比较。实验结果表明，该融合方法是十分有效的。     

经验模态分解在桥梁检测中的应用

文章介绍了经验模态分解（EMD）的原理、特点及其应用,编制了EMD算法程序并验证了程序的正确性,最后采用EMD方法对某桥梁基于环境激励条件下的实际信号进行分解,结果表明,该方法能有效对信号进行分解,是一种无需预设带宽的自适应高通滤波方法,适用于结构模态参数识别。