基于贝叶斯网络的交通事件持续时间预测

随着数据采集手段的不断提高和相关研究技术的发展,基于数据挖掘的模型逐渐成为交通事件持续时间研究的主要方向。根据荷兰交通部门提供的交通事件采集数据,进行分类和预处理,观察事件持续时间的频数图,并根据相关的研究按照事件典型的类别把采集的数据进行分类。使用主成分分析和逐步回归提取出显著性的影响因子,利用数据挖掘软件WEKA建立贝叶斯网络模型,用数据集中80%的数据进行学习建模,20%的数据作为测试集来检测模型的预测效果,并做出性能评价。实验结果表明,与同类数据集的其他预测方法相比,贝叶斯网络模型对于变数众多,随机性特别大的交通事件,预测精度较高,证明贝叶斯网络模型的算法是具有一定优越性和实用价值。     

影像数据管理与分发系统的研究

本文以影像数据管理与分发系统为例,简要介绍了数据的入库、索引、查询及分析功能。从海量影像的存储、处理、管理及应用方面,探讨了制约影像应用发展的瓶颈问题。根据影像数据的实际情况,重点探讨了数据组织、检索、管理等核心问题,并提出了高效可行的解决方法。     

QR二维码的无参考图像质量评价方法评测与研究

论文综合讨论了二维码（QR Code）图像的相关知识和无参考图像质量评价方法的相关原理,重点对算法进行评测.文章首先阐述二维码的相关特性;其次对目前比较常用的算法进行简要介绍,并对二维码进行评测和结果分析;最后指出二维码图像质量评价是未来重要的研究方向.     

基于扩散模型的水雾红外图像仿真研究

现有红外仿真软件处进行人造水雾图像仿真时,均无法体现出水雾的扩散特性,使仿真图像真实度较低。针对这一问题,基于高斯扩散模型与M IE散射理论,将水雾空间划分为多个子空间,通过计算不同子空间内的水雾特性参数,建立一种新型水雾仿真模型。根据所建模型,利用M atlab编程得到的仿真图像与现有软件仿真结果相比,图像真实程度有很大提高。     

船舶电网谐波优化治理设计

针对很多船舶开始使用变频设备,电网的谐波已经超出船级社规定范围的问题,根据谐波计算结果,对超标的谐波进行优化计算,以选择恰当的滤波器容量,既满足规范要求,又让治理成本投入最低。     

Application of A* algorithm for real-time path re-planning of an unmanned surface vehicle avoiding underwater obstacles

This paper describes path re-planning techniques andunderwater obstacle avoidance for unmanned surface vehicle （USV）based on multi-beam forward looking sonar （FLS）. Near-optimalpaths in static and dynamic environments with underwaterobstacles are computed using a numerical solution procedure basedon an A algorithm. The USV is modeled with a circular shape in 2degrees of freedom （surge and yaw）. In this paper, two-dimensional（2-D） underwater obstacle avoidance and the robust real-time pathre-planning technique for actual USV using multi-beam FLS aredeveloped. Our real-time path re-planning algorithm has beentested to regenerate the optimal path for several updated frames inthe field of view of the sonar with a proper update frequency of theFLS. The performance of the proposed method was verifiedthrough simulations, and sea experiments. For simulations, theUSV model can avoid both a single stationary obstacle, multiplestationary obstacles and moving obstacles with the near-optimaltrajectory that are performed both in the vehicle and the worldreference frame. For sea experiments, the proposed method for anunderwater obstacle avoidance system is implemented with a USVtest platform. The actual USV is automatically controlled andsucceeded in its real-time avoidance against the stationary underseaobstacle in the field of view of the FLS together with the GlobalPositioning System （GPS） of the USV.     

基于遗传-径向基函数神经网络的公路隧道围岩定级方法

围岩分级准确与否直接关系到隧道的施工安全和工程造价。针对现阶段围岩分级方法存在的主要问题,结合宁绩高速公路隧道群施工期围岩定级实践,以国标BQ分级为基准,在大量现场测试和室内试验的基础上,引入径向基函数神经网络,并以分级结果作为遗传-径向基函数神经网络的训练样本,建立了隧道围岩分级的遗传-径向基函数神经网络模型。应用实例表明,该模型分级结果与现场勘测基本一致,为隧道围岩分级提供了一种新方法。     

基于多核技术的数字图像处理阵列电路

基于多核技术和指令集控制方式,设计了一种用于数字图像处理的阵列电路,折中了全硬件处理与单核处理中存在的复杂度与速度之间的矛盾.Modelsim仿真结果表明,所提出的处理阵列电路能正确实现基本的图像并行处理功能,具有一定实际应用价值.     

起重铺管驳船电站系统设计

文章阐述了某1600吨起重铺管驳船的主要性能和特点,介绍了电站设计时的电力设备分类、船舶运行工况、铺管工况和吊装工况下主要设备需要系数的取值,并根据计算确定了电站主发电机、应急发电机及电力变压器的相关参数,具有一定的应用价值。     

Modified gray level difference-based thresholding segmentation and its application in X-Ray welding image

Thresholding is a popular image segmentation method that often requires as a preliminary and indispensable stage in the computer aided image process, particularly in the analysis of X-ray welding images. In this paper, a modified gray level difference-based transition region extraction and thresholding algorithm is presented for segmentation of the images that have been corrupted by intensity inhomogeneities or noise. Classical gray level difference algorithm is improved by selective output of the result of the maximum or the minimum of the gray level with the pixels in the surrounding, and multi-structuring of neighborhood window is used to represent the essence of transition region. The proposed algorithm could robustly measure the gray level changes, and accurately extract transition region of an image. Comparisons with other approaches demonstrate the superior performance of the proposed algorithm.