关于Dex/Ucs自动售货机的通信研究①

介绍了基于Dex／Ucs自动售货机通信系统,并根据Dex特点及其通信原理,在Vb6＋Borland平台上,实现了终端与售货机间通信及数据的采集。此系统的核心为终端与系统间的通信。根据Dex会话层的三次握手来实现通信双方的连接,其中所传输数据遵循Dex协议的格式被封装。系统基于Vb6＋C的模式,利用两者的优势被实现。     

基于RFID的人力和资产管理系统

为应对现下各大IT外包服务公司日益扩张的业务量所带来的成本压力,以及因服务网点分散所带来的资讯问题,并积极有效地分配IT服务人员,设计了一种基于云计算中SaaS概念、物联网概念,并合理运用现有RFID,GSM技术的人力和资产管理系统,旨在实现快速有效的人力资源调度以及方便快捷的物资信息管理。阐述了系统的组成结构,并进行了硬件和软件上的设计。项目结果证明该系统具有可行性和实用性。     

复杂相变热图序列相变线跟踪与应用

针对复杂相变热图序列相变线自动提取问题,提出一种基于帧间差分信息的C-V主动轮廓模型提取方法。首先建立一种基于结构特征的图像精确匹配指标,解决相变热图序列中部分帧的位置偏移问题;然后利用与模板图像的帧间差分及差分图像的对比度增强获取有效相变信息;最后在考虑帧间相变线关联性的基础上,提出一种融合形状先验特征的C-V主动轮廓模型相变线跟踪算法。实验结果表明,该算法解决了目前方法无法解决的序列图像中多相变线、拓扑变化等问题,能适应多种不同类型的模型实验物,且运算速度较经典C-V模型有很大提高。基于该算法开发的软件系统在实际中得到成功应用。     

一种改进喷墨绘图仪精度和速度的设计

考虑到打印某些宽幅工程图纸的趋势需求,针对当前喷墨绘图仪速度不够快、精度较低的缺点,重新改进设计喷墨绘图议使其能满足需求。文章阐述了数据预处理的分页功能以及分页算法,数据解析中提高精度数值映射方法以及执行效率高的画直线、画圆算法和有效且简单的墨盒控制信息获取方法。对比测试结果表明,改进后喷墨绘图仪的绘图速度和精度明显提高,曲线更加清晰和圆滑。     

基于Petri网的售货机物流配送建模研究

利用Petri网技术构建了无线自动售货机和传统自动售货机的物流配送模型,分别对这两种情况下的配送利用HPSIM仿真软件建模进行时效分析与比较。结果表明,利用无线网络的自动售货机的配送时效小于传统方式,提升了物流配送效率。     

Batch process modelling with mixtures of Gaussian processes

In recent years Gaussian processes have attracted a significant amount of interest with the particular focus being that of process modelling. This has primarily been a consequence of their good predictive performance and inherent analytical properties. Gaussian processes are a member of the family of non-parametric Bayesian regression models and can be derived from the perspective of neural networks. Their behaviour is controlled through the structure of the covariance function. However, when applied to batch processes, whose data exhibits different variance structures throughout the duration of the batch, a single Gaussian process may not be appropriate for the accurate modelling of its behaviour. Furthermore there are issues with respect to the computational costs of Gaussian processes. The implementation of a Gaussian process model requires the repeated computation of a matrix inverse whose order is the cubic of the number of training data points. This renders the algorithm impractical when dealing with large data sets. To address these two issues, a mixture model of Gaussian processes is proposed. The resulting prediction is attained as a weighted sum of the outputs from each Gaussian process component, with the weights determined by a Gaussian kernel gating network. The model is implemented through a Bayesian approach utilising Markov chain Monte Carlo algorithms. The proposed methodology is applied to data from a bench-mark batch simulation polymerization process, methyl methacrylate (MMA), and the results are compared with those from a single Gaussian process to illustrate the advantages of the proposed mixture model approach.     

IPv6下的ICMPv6重定向欺骗与NS/NA欺骗研究

阐述了IPv6下网络协议欺骗的一般原理,详细分析了ICMPv6协议及其存在的漏洞.对于ICMPv6重定向及NS/NA欺骗的原理进行了深入的讨论,并提出了ICMPv6重定向欺骗和NS/NA欺骗的具体实现方法.     

Vibration analysis of cable-driven parallel manipulators

A cable-driven parallel manipulator is a manipulator whose end-effector is driven by a number of parallel cables instead of rigid links. Since cables always have more flexibility than rigid links, a cable manipulator bears a concern of possible vibration. Thus, investigation of vibration of cable manipulators caused by cable flexibility is important for applications requiring high system stiffness or bandwidth. This paper provides a vibration analysis of general 6-DOF cable-driven parallel manipulators. Based on the analysis of the natural frequencies of the multibody system, the study demonstrates that a cable manipulator can be designed stiff enough for special applications like the cable-manipulator based hardware-in-the-loop simulation of contact dynamics. Moreover, under an excitation, a cable may vibrate not only in its axial direction, but also in its transversal direction. The paper also analyzes the vibration of cable manipulators caused by cable flexibilities in both axial and transversal directions. It is shown that the vibration of a cable manipulator due to the transversal vibration of cables can be ignored comparing to that due to the axial flexibility of cables.     

改进遗传神经网络控制混沌运动的研究

用最大Lyapunov指数构造遗传算法中的适应度函数,通过遗传算法优化神经网络的权系数．根据所得到的适应度函数和权系数来构造遗传神经网络控制器,从而提高神经网络控制效果．对离散系统Logistic映射和连续系统Rossler方程、AFM（原子力显微镜）悬臂梁振动系统的混沌运动分别进行了仿真控制．数值实验结果表明本文改进的遗传神经网络控制方法对离散或者连续的混沌系统都能控制到低周期轨道上去,证明了算法的有效性．     

基于多信息融合技术的智能汽车防盗报警系统研究与设计

为完善汽车的防盗系统,提出研制的智能汽车防盗报警器是在ARM嵌入式系统的基础上,利用Dempster--Sharer证据理论融合密码识别、加速度传感、GPS全球定位信息,判断车辆的安全状况,再将车况信息通过GPRS无线通信网络发送到车主手机。实验室测试表明,系统实现了监控基本功能并满足实时性,增强了汽车安全性和智能报警性。