对CAN总线下自动测控系统的应用分析

CAN作为现场设备级的通信总线,和其他总线相比,其有很高的可靠性和性价比,其总线规范已经成为国际标准,因而被公认为是当今几种最有前途的现场总线之一,事实上,如今CAN总线的应用范围己远远超出最初的汽车应用,在工业自动化、火车、轮船的导航和控制系统、医疗系统、农业机械等都可以看到CAN的应用.本文则在此基础上对CAN总线下自动测控系统的应用作出一番探讨.     

SDH设备应用的优势

本文介绍了SDH发展的历程,以及它的基本原理和作为SDH基础设备的功能和特点,介绍了SDH设备定时同步特点,着重介绍了SDH设备在实际应用中作为分/插复器及在自愈环中的应用,预测了今后的发展方向.     

基于测地路径的牙齿模型交互分割算法研究

从3维牙颌模型中精确地分离出单颗牙齿是计算机辅助正畸治疗的重要步骤。由于牙齿有不同的形状并且不同个体之间有很大差异,其自动分离比较困难。为此,提出一种交互分割单颗牙齿的方法：首先,在牙颌模型上交互选定特征点,然后计算特征点间近似测地路径,待测地路径封闭后,利用区域生长方法从整个牙颌模型上精确分离出单颗牙齿。实验结果显示,该算法执行速度快,用户交互量少,且分割得到的牙齿边界线平滑,较好地满足口腔正畸的临床要求。     

多站时差频差高精度定位技术

针对多站时差频差联合定位系统,建立了定位模型,推导了定位误差表达式并作了仿真分析.仿真结果表明,在观测站构型较差的情况下,多站时差频差联合定位与纯时差或频差定位相比可提高定位精度.本文同时提出了利用相参脉冲串实现雷达信号高精度频差测量方法,推导了无模糊频率估计的充要条件及相参脉冲串测频的CRLB,仿真及实验室测试结果证明了在一定条件下可实现对相参雷达信号的Hz级测量精度,对工程应用具有一定的价值.     

一种快速车牌定位算法

提出一种快速的车辆牌照定位算法,对获取的车辆图像进行相应预处理后,根据图像的纹理特征,分析牌照区域字符分布情况及变化规律,利用车牌号码区域像素值的变化频率,在一个特定范围内进行水平和垂直方向上的定位,从而准确地得到车牌区域。实验结果表明,本文提出的算法能够较好地快速定位车辆图像中车牌区域。     

浅析网络传播环境下开源软件与知识产权

开源软件从一直面临知识产权问题,而且随着开源软件的发展,开源软件与知识产权的冲突愈加激烈。在网络传播环境下,解决这种冲突最好的办法是制定并遵循“开放下”的规则。     

CAD/CAE公共服务平台中资源共享智能型系统研究

在产业技术公共服务平台的影响和带动下,随着其用户规模不断扩大和信息技术的发展,越来越要求平台服务向智能化发展,有必要对其中之一的资源共享智能型系统建设进行探讨。     

采油厂信息建设整合提升配套技术研究

通过采油厂的信息化建设与实践,形成了采油厂信息建设整合提升配套技术体系;围绕勘探开发、生产运行、经营管理等三条主线全力推进信息应用的集成整合;形成分领域、按专业整合形成专业部门信息应用的整体解决方案。为采油厂信息化建设的科学发展、快速发展奠定了理论、技术、实施等基础。     

Segmentation and recognition of phonetic features in handwritten Pitman shorthand

There is a wish to be able to enter text into mobile computing devices at the speed of speech. Only handwritten shorthand schemes can achieve this data recording rate. A new, overall solution to the segmentation and recognition of phonetic features in Pitman shorthand is proposed in this paper. Approaches to the recognition of consonant outlines, vowel and diphthong symbols and shortforms, which are different components of Pitman shorthand, are presented. A new rule is introduced to solve the issue of smooth junctions in the consonant outlines which was normally the bottleneck for recognition. Experiments with a set of 1127 consonant outlines, 2039 vowels and diphthongs and 841 shortforms from three shorthand writers have demonstrated that the proposed solution is quite promising. The recognition accuracies for consonant outlines, vowels and diphthongs, and shortforms achieved 75.33%, 96.86% and 91.86%, respectively. From the evaluation of 461 outlines with smooth junction, the introduction of the new rule has a great positive effect on the performance of the solution. The recognition accuracy of smooth junction improves from 37.53% to 93.41% given a writing time increase of 14.42%.     

Real-time crowd motion planning

Real-time crowd motion planning requires fast, realistic methods for path planning as well as obstacle avoidance. In a previous work (Morini et al. in Cyberworlds International Conference, pp. 144–151, 2007), we introduced a hybrid architecture to handle real-time motion planning of thousands of pedestrians. In this article, we present an extended version of our architecture, introducing two new features: an improved short-term collision avoidance algorithm, and simple efficient group behavior for crowds. Our approach allows the use of several motion planning algorithms of different precision for regions of varied interest. Pedestrian motion continuity is ensured when switching between such algorithms. To assess our architecture, several performance tests have been conducted, as well as a subjective test demonstrating the impact of using groups. Our results show that the architecture can plan motion in real time for several thousands of characters.