基于视频的车辆检测与跟踪

提出了在静止摄像机下对交通序列图像进行检测和跟踪的算法,分析了运动车辆的检测过程,探讨了运动物体的跟踪。     

基于Graphics语言开放型实时数据库的实现

根据开放型实时数据库的要求和特点,本文基于Graphics语言和OPC接口技术提出通过扩展数据采集的通信功能,建立具备扩展特性的设备通信机制,使实时数据库既能完成数据采集,又能够对数据的存取、流程进行控制,实现了实时数据库的功能扩展,大幅度减少了上层软件的计算量和复杂度,应用于过程控制中具有很大的优越性。     

基于Web Service异质数据库对等更新系统实现

针对异构或异质环境下保持数据一致性的问题，给出一个在分布式异质数据库中，通过Web Service技术，对数据库更新事务进行捕捉、存储后转发．进而实现数据同步更新的系统模型。然后依据模型的设计，应用Java语言进行了具体代码的实现。最后，将该系统作为DBA的工具，应用于大学计算中心学生管理系统，成功地解决了分布式异质数据库的同步更新问题。     

Two-stage prediction and update particle filtering algorithm based on particle weight optimization in multi-sensor observation

The reasonable measuring of particle weight and effective sampling of particle state are consid- ered as two important aspects to obtain better estimation precision in particle filter. Aiming at the comprehensive treatment of above problems, a novel two-stage prediction and update particle filte- ring algorithm based on particle weight optimization in multi-sensor observation is proposed. Firstly, combined with the construction of muhi-senor observation likelihood function and the weight fusion principle, a new particle weight optimization strategy in multi-sensor observation is presented, and the reliability and stability of particle weight are improved by decreasing weight variance. In addi- tion, according to the prediction and update mechanism of particle filter and unscented Kalman fil- ter, a new realization of particle filter with two-stage prediction and update is given. The filter gain containing the latest observation information is used to directly optimize state estimation in the frame- work, which avoids a large calculation amount and the lack of universality in proposal distribution optimization way. The theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm.     

一种联邦滤波的非线性改进算法

为了解决联邦滤波器在处理非线性复杂噪声信号时效果不佳的问题,引入了无迹卡尔曼滤波算法作为子滤波器,为了降低计算量,对子滤波器的状态更新过程进行了改进,同时优化了逆矩阵的求法.最后进行了仿真,结果表明,文章中的方法比传统联邦滤波算法精度更高,同时耗时较短.为工程应用提供了一种参考.     

ADO意义.NET在并发控制方面存在的问题及解决方案

针对ADO.NET在处理“丢失的修改”问题时,不支持“关键字和已修改字段”的并发控制问题提出了相应的解决办法;同时对ADO.NET架构本身带来的异常更新问题提供了解决思路。     

MAS中一种基于稳定性的直接信任计算方法

为了更有效地对Agent之间的直接信任度进行评估,首先将交互记录分为近期和历史两部分,然后从交互记录的稳定性、异常行为记录以及新旧交互记录之间的差异三个方面的因素决定新交互记录的更新权重,从而动态地反映出近期信任度的变化;同时由近期信任度与历史信任度根据两者之间的差异决定各自的权重,共同构成Agent的直接信任度.试验证明该方法有效提高了直接信任度的可靠性,更适用于实际环境.     

Vector bundle constraint for particle swarm optimization and its application to active contour modeling

Active contour modeling (ACM) has been shown to be a powerful method in object boundary extraction. In this paper, a new ACM based on vector bundle constraint for particle swarm optimization (VBCPSO-ACM) is proposed. Different from the traditional particle swarm optimization (PSO), in the process of velocity update, a vector bundle is predefined for each particle and velocity update of the particle is restricted to its bundle. Applying this idea to ACM, control points on the contour are treated as particles in PSO and the evolution of the contour is driven by the particles. Meanwhile, global searching is shifted to local searching in ACM by decreasing the number of neighbors and inertia. In addition, the addition and deletion of particles on the active contour make this new model possible for representing the real boundaries more precisely. The proposed VBCPSO-ACM can avoid self-intersection during contour evolving and also extract inhomogeneous boundaries. The simulation results proved its great performance in performing contour extraction.     

基于诊断协议的车身ECU在线升级系统的设计

为了方便更新汽车电子控制单元(electronic control unit,ECU)的应用代码,针对汽车控制系统自身的特点,设计出汽车ECU在线升级系统.该升级系统利用车身控制器局域网络(controller area network,CAN),遵循诊断协议IS015765,将ISO15765诊断协议传输层和应用层规...     

基于残差自然幂法的增量线性判别分析方法

提出了将增量线性判别分析问题(LDA)转化为两个增量主元分析(PCA)问题的算法框架.为加速算法的收敛速度,推导了增量LDA中训练样本的类内离散度矩阵和协方差矩阵的无损实时更新公式,并在此基础上提出了一种基于残差协方差矩阵的自然幂增量PCA算法.将该增量PCA方法与基于双PCA结构的增量LDA算法框架相结合,实现了数据...