Polynomial approximation of functions of matrices and applications

In solving a mathematical problem numerically, we frequently need to operate on a vector by an operator that can be expressed asf(A), whereA is anN ×N matrix [e.g., exp(A), sin(A), A^–-]. Except for very simple matrices, it is impractical to construct the matrixf (A) explicitly. Usually an approximation to it is used. This paper develops an algorithm based upon a polynomial approximation tof (A). First the problem is reduced to a problem of approximatingf (z) by a polynomial in z, where z belongs to a domainD in the complex plane that includes all the eigenvalues ofA. This approximation problem is treated by interpolatingf (z) in a certain set of points that is known to have some maximal properties. The approximation thus achieved is almost best. Implementing the algorithm to some practical problems is described. Since a solution to a linear systemAx=b isx=A ^–1 b, an iterative solution algorithm can be based upon a polynomial approximation tof (A)=A ^–1. We give special attention to this important problem.     

Continuous process control using neural networks

We present some adaptive control strategies based on neural networks that can be used for designing controllers for continuous process control problems. Specifically, a learning algorithm has been formulated based on reinforcement learning, a weakly supervised learning technique, to solve set-point control and control scheduling for continuous processes where the process cannot be modeled easily. It is shown how reinforcement learning can be used to learn the control strategy adaptively based on exploration of the control space without making assumptions about the process model. A new learning scheme, handicapped learning, was developed to learn a control schedule that specifies a schedule of set points. Applications studied include the control of a nonisothermal continuously stirred tank reactor at its unstable state and the learning of the daily time-temperature schedule for an environment controller. Experimental results demonstrate good learning performance, indicating that the learning algorithm can be used for solving transient startup and boundary value control problems.     

基于图像仿射不变特征点的零水印算法

本文提出了一种基于图像提升小波变换和仿射不变特征点的零水印算法。首先对图像进行3级提升小波变换,然后在低频部分,利用Harris-Affine算子提取出图像的仿射不变特征点和仿射协变特征区域,利用这些特征区域来构造零水印信息。实验证明,该算法不仅对常规信号处理攻击和简单的几何攻击具有很强的鲁棒性,对于剪切、纵横比改变、行列去除,局部扭曲等较复杂的几何攻击也具有较强的抵抗能力。     

SPI总线扩展PLC输出点数的设计与实现

针对PLC主模块可用输出点数少的缺点,提出了采用SPI总线和移位寄存器HC595相结合扩展PLC输出点数,并设计了输出扩展电路;根据SPI总线及HC595的时序特点,确定了SPI的时钟模式,解决了时序的配合问题,并确定了输出点数的逻辑顺序;UDTY端接一下拉电阻,保证其处于高电平,SPI2CLK信号取反后输入到HC595,保证其采样到稳定的SPI输出数据,滤波电容,提高了电路抗干扰性能;编程实现对扩展输出点数的控制。实际应用表明,该设计方案经济、可靠。     

冶金企业面临的严峻局面及今后工作重点

阐述了冶金企业在当前的严峻形势下，要求得生存必须转变传统观念。并提出“九五”期间的工作重点是：节能降耗、调整品种结构、提高生产率及加强决策管理。重点论述了实现节能降耗应抓好的四项工作：连铸坯一火成材与热装直轧，轧钢炉窑节能技术，轧机主传动交流调速技术及控制冷却技术。     

关于半精纺工艺特点与纺纱生产技术要点

根据2006年在青岛召开的“全国创新型毛纺半精纺工艺技术研讨会”上讨论的几个热点问题整理成文,介绍了半精纺工艺的特征,分析了半精纺工艺在我国得以快速发展的原因,指出了半精纺纱线的应用领域及市场前景,并对如何纺好半精纺纱线,提高半精纺纱线质量提出了建议。     

基于多分量融合的调度端小电流接地选线策略

针对中性点不接地的配电系统站端接地选线方式投资大、维护成本高,零序电流采样监测运行维护困难的问题,提出一种基于多分量融合的调度端小电流接地选线方法。首先,在现有调度自动化系统监测数据集中,针对性分析了对接地故障较为敏感的单分量特征及其影响因素;其次,综合考虑实际运行可靠性和判断准确性,提出了基于三角模融合的接地选线判据;进而通过归一化计算各线路接地概率,实现在调度端远程的故障线路准确选线;最后,通过在某电力公司实际部署基于所提方法的小电流接地选线功能模块进行实测验证。运行结果显示,所提方法具有良好的选线成功率,能够较好支撑调度端的远程故障定位,具有较高的推广价值。     

Toward Largely Enhanced Toughness and Balanced Strength in PA1012/EPDM Blends via Synergistic Effect of Sacrificial Bonds and Network Structure

Here, zinc-neutralized ethylene propylene diene monomer (EPDM) ionomers with different neutralization levels are prepared through melt blending, and are then incorporated with polyamide 1012 (PA1012) to fabricate PA1012/EPDM ionomer blends. Interestingly, complex crosslinking networks are formed in the blends due to the construction of sacrificial bonds (Zn²⁺-carboxyl, Zn²⁺-amide). The as-formed network structure and sacrificial bond endow the PA/EPDM blends with largely enhanced toughness (16 times higher than that of neat PA), as well as balanced strength and stiffness. Meanwhile, the rheological behaviors of PA1012/EPDM ionomer blends indicate their relative low melting viscosity, which can avoid the processing shortcomings of plastics toughened with rubber. Moreover, PA1012/EPDM ionomer blends show obvious gelation behavior, and a maximum notched Izod impact strength exhibited at the gel point, in which unique double network structure can be observed obviously, indicating that there is a corresponding correlation between the rheological and mechanical parameters. Furthermore, the supper-toughening mechanism of PA1012/EPDM ionomer blends at gel point is explored, which origins from the large deformation and cavitation of rubber particles and the destruction of special double network morphologies. This study provides a novel and effective strategy to fabricate PA materials with outstanding toughness and excellent strength simultaneously.     

剪切变形方向特征对高纯铝箔轧制织构的影响

运用取向分布函数(ODF)研究了每个轧制道次的剪切变形特征对高纯铝箔轧制织构的影响.提出用中性角的相对大小来量化轧制剪切变形作用方向改变的位置,运用Taylor晶体塑性变形理论模拟计算了中性角的相对大小对轧制织构演变的影响.实测与模拟的轧制织构特征表明:中性角靠近轧制变形区的中心位置有利于形成{001}<110>剪切织构,从而证实了除剪切变形的程度外,剪切变形方向改变的位置也是影响高纯铝箔轧制织构的重要因素.     

硅酸盐色谱分离中性氨基酸性能研究

将硅酸钠与硫酸铜或硫酸锌按等体积混合 ,制得新型无机离子交换剂硅酸铜、硅酸锌 ,分别用其作为色谱载体对中性氨基酸 (甘氨酸 ,丙氨酸 )进行分离 ,与强酸性阳离子交换树脂 0 0 1× 7的色谱行为作了比较。结果表明 ,合成的硅酸盐具有较好的分离性能。通过不同载体分离中性氨基酸 (甘氨酸 ,丙氨酸 )的流出体积的比较 ,硅酸铜的流出体积大于硅酸锌 ,硅酸锌的流出体积大于 0 0 1× 7。结果显示 ,硅酸铜比硅酸锌更适合于分离中性氨基酸 ,具有最好的分离特性