析一起 LFX-912收发信机频繁发信现象

文章对新线路启动中LFX-912收发信机频繁发信现象进行分析,找出了具体原因,逐步处理,消除了频繁发信现象,并提出防范措施和详细处理步骤。     

Application of BP Neural Network in Prediction of Cu-Pb Composite Plates Properties

Abstract： The artificial neural networks（ANN） , which have broad application, are proposed to develop Cu-Pb composite plates materials. Based on the back propagation（BP） algorithm of the forward muhilayer perceptron, the model to predict the shear stress under different ingredient of the third element and the hot dipping temperature for Cu-Pb composite plates are established. Then the relational model among the third element, hot dipping temperature and shear stress by using the limited data are studied, and the forecast average error is 4%. This model can satisfy the requirements of the precision of forecast in the project experiment process. The results show that the corresponding shear stress is greater when the third element in the element contains more Sn; the most appropriate temperature of hot-dip plating about is 340℃, ＇after predicted with lead/the third element/the best performance of copper composite material element of the third group is the one-element Sn, hot dip plating temperature is 335 ℃ ; two-element is 90% Sn 10% Bi, and hot dip plating temperature is 345 ℃. The prediction results can be used for a reference in instructing the further experimental design.     

基于状态观测器的一类不确定性线性系统鲁棒保性能控制器设计

针对一类范数有界和具有外界干扰的状态不可测的线性系统,提出了一种根据观测器的鲁棒保性能控制器的设计方法.通过利用Lyapunov稳定性原理和H∞理论,可以得出鲁棒保性能控制器存在的一个充分条件.所设计的控制器不仅能保证闭环系统的稳定性,而且也能保证闭环系统具有一定的线性二次性能指标和H∞性能指标.利用仿真研究,得出所提方法的有效性.     

Accurate mirror-based camera pose estimation with explicit geometric meanings

An accurate closed form solution is proposed to estimate camera pose by several mirrored reference object images acquired via a planar mirror under different unknown poses. Compared with state-of-the-art methods, our method is more accurate when there are more than three images and has explicit geometric meanings. This method also properly handles cases in which some of the mirror poses are parallel. The central idea is to minimize an error metric based on all reflections of rotation, which enables the camera rotation to be estimated directly by SVD of sum of mirrored camera rotations. After that, the camera translation is computed by solving a large system of linear equations to minimize object space collinearity error. Both synthesized data and real data experiments show the advantages of our approach.     

应用于武器-目标分配问题的量子行为粒子群优化算法

武器-目标分配(WTA)问题是现代战争中一个十分重要的问题。以分配武器迎击全部目标的失败概率最小为目标,构建武器-目标分配问题模型;针对已有算法求解这类问题存在的早熟收敛、优化效率较低的缺点,提出一种惯性权重自适应调整的量子行为粒子群优化算法。首先引入聚焦距离变化率的概念,将惯性权重因子表示为关于聚焦距离变化率的函数,从而使算法具有动态自适应性;同时在算法中嵌入一种判断和避免搜索早熟和停滞的有效方法。优化实例的结果分析表明,该算法能有效地解决武器-目标分配问题。     

基于改进分组遗传算法的虚拟机放置研究

为了提高云计算的资源利用率以及减少能耗,采用改进的分组遗传算法来解决虚拟机放置的效率.通过对遗传算法的交配和突变等过程进行重新设计,提高遗传算法过程中优秀基因遗传给后代的几率,并提出了相应的算法,达到快速求解虚拟机放置问题的目的.实验结果表明,该算法可以快速采用最少的物理机来放置虚拟机,有效地提高了虚拟机放置问题的求解速度.     

基于无线语音系统的USB-HID控制单元的设计

为了在无线语音系统中实现对多媒体终端的更为丰富的、方便的控制功能,设计了基于USB-HID(universalserial BUS-human interface device)的新型光学导航模块OFN(optical finger navigation)的控制单元,该控制单元主要由OFN模块,MCU(micro control unit),2.4G收发模块及其相应的软件实现。在深入分析了USB-HID类协议中USB鼠标与PC机数据交互的类型及其方式的基础上,说明了OFN模块与USB鼠标之间的数据衔接方法。并通过采用时分复用技术和设置软件判断标志位,达到了将该控制功能嵌入到语音系统中的目的。     

互信息与爬山法相结合的贝叶斯网络结构学习

针对爬山法容易陷入局部最优,而随机重复爬山法时间开销过大的问题,将互信息与爬山法相结合,提出了MI&HC贝叶斯网络结构学习算法。首先利用互信息构建初始网络结构,再从该网络结构开始利用爬山法进行贝叶斯网络结构学习。仿真结果表明:MI&HC算法,对小型稀疏网络结构的学习效果非常好,对较大型的网络结构的学习也能得到令人满意的结果;该算法不需要节点顺序这一先验信息,却能获得与K2算法相当的学习效果。     

基于RFID的药品流通监管系统

药品安全是重大的民生与公共安全问题。就射频技术设计并实现一种基于RFID的药品流通监管系统。该系统包括药品配送中心、数据库管理和信息查询回馈平台三部分。根据药品流通中所起作用作为系统设计目标,阐述了该系统总体体系结构及关键数据库设计,系统已在该市药品流通监管部门设计实施,并取得了显著的流通监管效果。