视频图像活动轮廓目标检测跟踪研究

研究视频图像目标跟踪定位精确度问题。由于在图像中通常会发生缩放,造成图像目标模糊不清。传统的目标跟踪算法该类算法仅以目标发生平移运动为假设前提,图像质量差。为解决上述问题,提出了一种活动轮廓目标跟踪定位检测算法。首先选择合适的滑窗,采用减背景法来确定视频对象的运动区域,采用卡尔曼形态滤波来消除残余的噪声,然后针对目标在活动轮廓局部内具有较高灰度值的特征,通过自适应阈值来判别滑窗中心位置是否存在目标。当滑窗遍历整幅图像后,就可以得到目标的定位结果。仿真结果表明,改进算法不仅能够消除差分图像中的显露背景,从而得到运动视频对象精确的轮廓,并且可进行多目标的分割与跟踪,具有一定的实际应用价值。     

基于复杂网络理论的高校内部理工医文合作研究分析

运用复杂网络理论的基本原理和有关方法,对理工医文等学科、专业之间的合作规律和人员合作方式进行探讨,以某高校2005-2010年医工合作情况作为实例展开研究,采用5年的合作数据作了计算分析,研究了高校内部理工医文开展学科交叉工作的特点及其运行情况、医工交叉合作中存在问题,客观分析其原因,提出了解决的办法,为今后开展高校系统的理工医文交叉合作,建设电子化交叉平台.     

对计算机病毒防治措施的探讨

随着计算机病毒的泛滥,给网络信息的安全造成了巨大的破坏和潜在的威胁。为维护计算机信息的安全与有效利用,探究计算机病毒的防治措施已迫在眉睫。本文从计算机病毒的定义入手,主要总结了计算机病毒分类、特征和传播途径,并在此基础上重点探讨了防范与检测防治的措施等。     

采用形态神经网络背景自适应预测的图像弱小目标检测*

提出一种有效的背景杂波预测形态神经网络模型,用于检测图像数据中的弱小目标.目标被假设为只有很小的空域扩展度,而且淹没于强背景杂波干扰中.通过形态神经网络,杂波背景被准确地估计并从输入数据中去除,只剩下残留噪声和目标信号.采用扩展输入层数据的办法修正了传统的形态开、闭运算三层前馈BP网络模型.为了跟踪包含不同子结构的复杂背景,原始图像被划分为多个子块,并在相应的子块中选择训练样本对结构元进行优化.对真实图像数据的计算机仿真表明该算法在性能上优于其他传统算法.     

陶瓷溅射靶材的发展与应用

在信息产业不少基础产品的制造过程中需使用多种陶瓷溅射靶材，世界陶瓷靶材的市场销售规模日益扩大。本文简要介绍了陶瓷靶材的应用分类、性能要求、制备工艺及溅射靶材制造中急需解决的主要技术问题。     

光信息存储与溅射靶材

在光盘制造过程中，需要使用多种溅射靶材。本文简介溅射靶材的制造及主要应用情况。     

ISO9000与塑料企业卓越质量经营的实践

分析了以ISO9000为基础平台对质量经营的核心要素进行整合与再造，使塑料企业的质量经营体系卓越有效；以达到增强塑料企业核心竞争力的。     

Multiple targets enclosure by robotic swarm

Target enclosure by autonomous robots is useful for many practical applications, for example, surveillance of disaster sites. Scalability is important for autonomous robots because a larger group is more robust against breakdown, accidents, and failure. However, since the traditional models have discussed only the cases in which minimum number of robots enclose a single target, there has been no study on the utilization of the redundant number of robots. In this paper, to achieve a highly scalable target enclosure model about the number of target to enclose, we introduce swarm based task assignment capability to Takayama’s enclosure model. The original model discussed only single target environment but it is well suited for applying to the environments with multiple targets. We show the robots can enclose the targets without predefined position assignment by analytic discussion based on switched systems and a series of computer simulations. As a consequence of this property, the proposed robots can change their target according to the criterion about robot density while they enclose multiple targets.     

Steady-state target optimization designs for integrating real-time optimization and model predictive control

In industrial practice, the optimal steady-state operation of continuous-time processes is typically addressed by a control hierarchy involving various layers. Therein, the real-time optimization (RTO) layer computes the optimal operating point based on a nonlinear steady-state model of the plant. The optimal point is implemented by means of the model predictive control (MPC) layer, which typically uses a linear dynamical model of the plant. The MPC layer usually includes two stages: a steady-state target optimization (SSTO) followed by the MPC dynamic regulator. In this work, we consider the integration of RTO with MPC in the presence of plant-model mismatch and constraints, by focusing on the design of the SSTO problem. Three different quadratic program (QP) designs are considered: (i) the standard design that finds steady-state targets that are as close as possible to the RTO setpoints; (ii) a novel optimizing control design that tracks the active constraints and the optimal inputs for the remaining degrees of freedom; and (iii) an improved QP approximation design were the SSTO problem approximates the RTO problem. The main advantage of the strategies (ii) and (iii) is in the improved optimality of the stationary operating points reached by the SSTO-MPC control system. The performance of the different SSTO designs is illustrated in simulation for several case studies.     

铝锆酸酯偶联剂对超微碳酸钙表面性能的影响

用铝锆酸酯偶联剂对超微碳酸钙粉体进行表面改性。讨论了改性前后超微碳酸钙的润湿性、沉降体积、糊粘度、吸油率等表面性质的变化。结果表明：改性的超微碳酸钙与水的接触角增大，能很好地分散在有机介质中，糊粘度减小，吸油率减小，适合用于塑料和橡胶。