公路联网收费系统网络故障诊断与解决措施探讨

随着社会经济的蓬勃发展,我国的公路系统也越来越发达。网络给公路收费系统带来便利的同时,也带来了危机。本文对公路联网收费系统常见网络故障进行了分析,并提出了相关解决措施。     

A hybrid aggregation and compression technique for road network databases

Vector data and in particular road networks are being queried, hosted and processed in many application domains such as in mobile computing. Many client systems such as PDAs would prefer to receive the query results in unrasterized format without introducing an overhead on overall system performance and result size. While several general vector data compression schemes have been studied by different communities, we propose a novel approach in vector data compression which is easily integrated within a geospatial query processing system. It uses line aggregation to reduce the number of relevant tuples and Huffman compression to achieve a multi-resolution compressed representation of a road network database. Our experiments performed on an end-to-end prototype verify that our approach exhibits fast query processing on both client and server sides as well as high compression ratio.

Detection and classification of road signs in natural environments

An automatic road sign recognition system first locates road signs within images captured by an imaging sensor on-board of a vehicle, and then identifies the detected road signs. This paper presents an automatic neural-network-based road sign recognition system. First, a study of the existing road sign recognition research is presented. In this study, the issues associated with automatic road sign recognition are described, the existing methods developed to tackle the road sign recognition problem are reviewed, and a comparison of the features of these methods is given. Second, the developed road sign recognition system is described. The system is capable of analysing live colour road scene images, detecting multiple road signs within each image, and classifying the type of road signs detected. The system consists of two modules: detection and classification. The detection module segments the input image in the hue-saturation-intensity colour space, and then detects road signs using a Multi-layer Perceptron neural-network. The classification module determines the type of detected road signs using a series of one to one architectural Multi-layer Perceptron neural networks. Two sets of classifiers are trained using the Resillient-Backpropagation and Scaled-Conjugate-Gradient algorithms. The two modules of the system are evaluated individually first. Then the system is tested as a whole. The experimental results demonstrate that the system is capable of achieving an average recognition hit-rate of 95.96% using the scaled-conjugate-gradient trained classifiers.     

一种适合于移动定位的路径搜索算法

随着3G时代的来临,在快速发展LBS业务中,一个重要功能是获得手机与手机之间或手机到地图上指定位置的最短路径.通过将路网划分成主干网与支路网,并且使用二级R*树来索引路网边,给出了一种获取手机周边道路与计算最短路径的算法.分析了该算法的复杂度,在适当划分主干网与支路网后,该算法可以缩小搜索空间,提高搜索性能.     

统计与规则结合的问句理解

提出了一个结合统计和规则的口语理解方法.首先,用统计分类器对输入进行主题分类,然后用语义规则提取主题相关的语义槽.该方法在主题分类和语义槽提取方面都具有较低的错误率,同时具有很好的鲁棒性,并在图书馆查询系统的查询需求理解中取得了很好的结果.     

动作识别与行为理解综述

随着“以人为中心计算”的兴起和生活中不断涌现的新应用,动作识别和行为理解逐渐成为计算机视觉领域的研究热点。主要从视觉处理的角度分析了动作识别和行为理解的研究现状,从行为的定义、运动特征提取和动作表示以及行为理解的推理方法3个方面对目前的工作做了分析和比较,并且指出了目前这些工作面临的难题和今后的研究方向。     

中国图像工程：2008

该文是关于中国图像工程的年度文献综述系列之十四。为了使国内广大从事图像工程研究和图像技术应用的科技人员能够较全面地了解国内图像工程研究和发展的现状,并能够方便地查询有关文献,现从2008年在国内15种有关图像工程重要中文期刊的共120期上发表的3 359篇学术研究和技术应用文献中,选取出915篇属于图像工程领域的文献,并根据各文献的主要内容将其分别归入图像处理,图像分析,图像理解,技术应用和综述5个大类,然后进一步分入23个专业小类（与去年相同）。在此基础上还进行了各期刊各类文献的统计和分析。根据统计分析结果可看到,我国图像工程在2008年许多新进展的情况。特别值得指出的是,在上述15种期刊上所发表的图像工程文献数量在2008年继续增加并达到历史最高,显示了图像工程在中国继续蓬勃发展的趋势。     

基于实例的隐喻理解与生成

语言中的明喻可以看作是带标记的隐喻,比较容易识别,为隐喻的理解和生成提供了很好的知识源.利用web搜索引擎大规模获取明喻实例,自动构建明喻知识库.基于明喻知识库,考察了汉语隐喻的源域分布情况;提出了一个基于实例的隐喻自动理解和生成方法.实验结果表明,隐喻的理解和生成均取得了较高的准确率.该方法具有很好的可扩展性.明喻知识库中所表达的概念之间的组合关系也可以用于其他多种自然语言处理任务.     

基于语义神经网络的汉语表层语义分析

本文提出一种基于语义神经网络的汉语表层语义分析方法。该方法将符号主义和连接主义结合在一起。文中给出了语义神经网络的定义、构造,以及应用于汉语表层语义分析的算法。