采用混合时钟模式提高Linux时钟精度的方法

时钟精度直接影响到实时任务能否被及时响应和调度,数控系统要求其软件平台能提供微秒级的时钟精度。Linux操作系统由于其开放源代码的特点,非常适合开发具有自主产权的全软件数控系统,但是其毫秒级时钟精度明显过于粗糙。结合上述方法,提出一种混合多种时钟模式的动态时钟系统,提高Linux的时钟精度。通过仿真测试证明能满足数控系统的要求。     

Feature scaling for kernel fisher discriminant analysis using leave-one-out cross validation

Kernel fisher discriminant analysis (KFD) is a successful approach to classification. It is well known that the key challenge in KFD lies in the selection of free parameters such as kernel parameters and regularization parameters. Here we focus on the feature-scaling kernel where each feature individually associates with a scaling factor. A novel algorithm, named FS-KFD, is developed to tune the scaling factors and regularization parameters for the feature-scaling kernel. The proposed algorithm is based on optimizing the smooth leave-one-out error via a gradient-descent method and has been demonstrated to be computationally feasible. FS-KFD is motivated by the following two fundamental facts: the leave-one-out error of KFD can be expressed in closed form and the step function can be approximated by a sigmoid function. Empirical comparisons on artificial and benchmark data sets suggest that FS-KFD improves KFD in terms of classification accuracy.     

常规光纤非线性对色散补偿光纤位置的影响

通过数值计算的方法分析了色散、自相位调制和激光器啁啾等因素对１０Ｇｂ／ｓ１００ｋｍＧ．６５２光纤通信系统的综合效应。对１０Ｇｂ／ｓＧ．６５２光纤系统中用色散补偿光纤（Ｄｉｓｐｅｒｓｉｏｎ Ｃｏｍｐｅｎｓａｔｉｏｎ Ｆｉｂｅｒ,即ＤＳＦ）的两种方案进行了比较,然后简单讨论了色散补偿光纤在密集波分复用（ＤＷＤＭ）中的应用,最后给出通过以上分析得出的结论。     

甚小孔径卫星（VSAT）的数据传输应用

简单分析了甚小孔径卫星通信的技术特点和优缺点。重点讨论用它来解决数据传输问题,通过举例对目前采用ＶＳＡＴ卫星通信解决数据传输问题的技术做进一步的讨论。     

Globally stable adaptive robust tracking control using RBF neural networks as feedforward compensators

In previous adaptive neural network control schemes, neural networks are usually used as feedback compensators. So, only semi-globally uniformly ultimate boundedness of closed-loop systems can be guaranteed, and no methods are given to determine the neural network approximation domain. However, in this paper, it is showed that if neural networks are used as feedforward compensators instead of feedback ones, then we can ensure the globally uniformly ultimate boundedness of closed-loop systems and determine the neural network approximation domain via the bound of known reference signals. It should be pointed out that this domain is very important for designing the neural network structure, for example, it directly determines the choice of the centers of radial basis function neural networks. Simulation examples are given to illustrate the effectiveness of the proposed control approaches.     

装甲车车身自动调平系统原理及算法设计

为了提高6点装甲车辆调平的快速性和稳定性,根据装甲车结构,考虑响应时间、速度和可靠性等综合因素,将车身系统由6点调平系统等效为4点调平系统。利用相应的角度和压力传感器检测车架的水平状态,以确定油气簧的动作量。采用双速调整的方法计算比例阀门的开启大小及时间,运用西门子控制器实现对调平系统的控制。试验结果表明,该系统具有较高的快速性和稳定性。     

稀磁半导体CoTiO2薄膜结构和磁性研究

通过对靶磁控反应溅射法和原位退火工艺制备了系列CoTiO2薄膜样品.研究发现,掺杂量对薄膜的磁性和结构有很大的影响.通过X射线衍射仪和振动样品磁强计对样品的结构和磁性进行了分析,发现制备的样品中较少的掺杂显示明显的室温铁磁性并且没有Co金属存在,但是随着掺杂的增加,部分Co以微小的颗粒存在,而且在超顺磁极限之下,使薄膜的磁性受到超顺磁相的影响.     

PCB自动光学检测中Gerber文件的解析研究

为了在PCB自动光学检测中使用Gerber文件建立标准图像,提出了一种解析Gerber文件的方法.该方法在对Gerber文件的数据结构进行语法分析的基础上,采用正则表达式匹配,进行自上而下分析从而提取出所需信息,用Map内嵌链表的数据结构存储数据;然后计算出Gerber文件所描述的图像并通过图形设备接口绘制;最后将各层图像进行腐蚀膨胀等处理并合成适用于PCB自动光学检测建标的图像.实验结果表明,该方法能快速准确地解析Gerber文件.     

Improved optimization methods for refinery hydrogen network and their applications

Heavier market competition and tighter environmental legislation lead to the increasing demand for hydrogen in refinery. Hence it is necessary for refinery to seek effective hydrogen management strategies to satisfy the increasing hydrogen requirements. In this paper, two improved systematic mathematical methods are developed based on two-step approach and simultaneous optimization approach respectively to retrofit the hydrogen network in refinery. To make the proposed approaches more suitable for real systems, the flowrate and purity at the reactor inlet of hydrogen consumers and the hydrogen recovery of purification units are considered as variables, and the minimum pure hydrogen of hydrogen consumers must be satisfied. Then the corresponding optimization problem is mathematically transformed to a mixed-integer nonlinear programming (MINLP) problem. However, solving a MINLP model directly will result in inconsistency in solution quality and time. In this paper, the solving of the complex MINLP formulation is avoided by using a mixed-integer linear programming (MILP) linearization technique, resulting in better quality, stability, and efficiency than solving the MINLP model directly. The proposed approaches in this paper could make the best use of resources and consequently provide significant environmental and economic benefits for refinery. A real case study is presented to illustrate the applicability of the proposed approaches.