桥梁施工进度控制GERT网络仿真研究

根据GERT网络特点,引入计算机仿真技术,研究了桥梁施工进度控制模拟仿真网络模型GERTS,通过网络要素的节点和活动仿真,提出了产生规定分布随机数的中值平方法、中值乘法、线性同余法,建立了GERTS计算机模拟网络模型,结合实桥钻孔桩施工网络仿真,编制了仿真网络的计算机程序并进行了模拟分析,其仿真工期都在150d上下波动,随着程序运行次数的增多,该结果越来越接近工期理论计算值150d,仿真效果符合工程实际规律,结果表明:GERT仿真网络是控制桥梁施工进度的一种有效方法。     

微机控制点火系的检修方法

微机控制点火系的种类有3种,然而根据其结构设计不同又可以把点火系统分为6种,其检修方法各有不同,本文重点介绍点火系统的具体检测维修方法。     

基于视觉的前方车辆探测技术研究方法综述

对国内外关于车道上本车前方车辆检测方法进行了综述。根据探测车辆所采用的传感器不同,分别对采用单目视觉、双目视觉、视觉与其他传感器融合以及非视觉传感器的几种探测方法进行了比较与分析。同时,针对每种探测方法,进一步阐述了目前车辆识别的一些具体算法。最后,指出了每种方法存在的优点和一些不足。     

基于计算机自动控制技术的多探头测深系统研制与改造

通过加装控制盒的方式,实现单探头测深仪与自动控制探头之间的流畅切换,将传统单探头测深仪改造成具有多探头功能的高效水下测量仪器系统,主要用于航道和码头基床等的水下扫测。利用该系统进行的码头基床扫测已经取得成功,可为同类测量设备的改造提供全新的思路。     

大学计算机基础课程教学方式的改革与实践

随着信息技术和计算机技术迅速发展和普及，传统的计算机基础教学方式面临新的挑战。本文探讨了当前形势下大学计算机基础课程教学模式的改革方向，根据多年的教学实践，探讨了高校计算机基础教学改革模式。     

某型直流充电柜温度场仿真

对某型直流充电柜满负载工况下温度场进行仿真,根据实验测量数据验证仿真结果准确性,成功完成了对充电柜温度场的建模仿真工作,并实现对初始模型的简化,为对整个充电站进行温度场建模仿真奠定了基础。     

A proposed vision and vehicle-to-infrastructure communication-based vehicle positioning approach

It is essential to obtain accurate location of vehicles for new applications of Intelligent Transportation Systems. To remedy the defects of present Global Positioning System and vehicle-to-infrastructure (V-I) positioning technology, a new positioning approach based on vision and V-I communication is proposed. This approach aims at lane-level positioning with lower cost than conventional ones. In this approach, the position of the vehicle is represented by its lateral position (the lane number) and longitudinal position (the distance from entrance of the road) in a course coordinate system along the road; the specific lane the vehicle is occupying (the lane number) can be judged using the information of lane lines detected by vision systems; then the distance to the vehicle is obtained by a Road Side Unit (RSU) during the V-I communication; and the longitudinal position is calculated. The error of the approach on typical operating conditions is analyzed, indicating that the new approach can achieve the accuracy of less than 0.31 m for straight road and 0.58 m for typical arc road with ultra-wideband communication and ranging technologies and rational arrangement of RSUs. The feasibility of this approach is presented.     

A data model applied to the knowledge-based ICAS

Image-guided computer aided surgery system (ICAS) contributes to safeness and success of surgery operations by means of displaying anatomical structures and showing correlative information to surgeons in the process of operation. Based on analysis of requirements for ICAS, a new concept of clinical knowledge-based ICAS was proposed. Designing a reasonable data structure model is essential for realizing this new concept. The traditional data structure is limited in expressing and reusing the clinical knowledge such as locating an anatomical object, topological relations of anatomical objects and correlative clinical attributes. A data structure model called mixed adjacency lists by octree-path-chain (MALOC) was outlined, which can combine patient's images with clinical knowledge, as well as efficiently locate the instrument and search the objects' information. The efficiency of data structures was analyzed and experimental results were given in comparison to other traditional data structures. The result of the nasal surgery experiment proves that MALOC is a proper model for clinical knowledge-based ICAS that has advantages in not only locating the operative instrument precisely but also proving surgeons with real-time operation-correlative information. It is shown that the clinical knowledge-based ICAS with MALOC model has advantages in terms of safety and success of surgical operations, and help in accurately locating the operative instrument and providing operation-correlative knowledge and information to surgeons in the process of operations.     

轨道交通自动化监控系统的特点及其发展趋势

城市轨道交通自动化监控系统的特点是:集成和互联的专业子系统数量多、差异大,现场设备复杂,技术发展快,自动化程度高,要求系统安全、稳定、可靠。城市轨道交通自动化监控系统经过了从人工、分立系统到综合监控系统的发展历程。当前,综合监控系统是国内轨道交通建设自动化监控系统采用的主要形式,并有向深度集成、路网综合监控发展的趋势。     

基于背景建模的钢轨表面缺陷像素级检测方法

钢轨表面缺陷具有独特性和稀疏性,利用机器视觉技术自动地检测钢轨表面缺陷仍存在很大挑战.提出一种基于背景建模的钢轨表面缺陷像素级检测方法,利用钢轨图像固有特性构建图像背景分布模型,找到背景分布簇中心,以定位到可疑像素点;提出一种钢轨表面缺陷像素级识别方法,根据可疑像素点的上下文特征和空间位置先验概率识别该像素点是否属于真...