广州地铁车辆关门障碍物检测故障及对策

针对广州地铁7号线车辆正线运营期间车门关门障碍物检测异常启动的故障,介绍车门关门防夹检测原理,深入分析故障原因并实施了相应的整改措施,有效地降低了车门故障率。     

基于Simulink的图像角点检测及匹配的实验平台

基于Matlab的Simulink设计的图像角点检测和匹配的实验平台,首先根据角点检测原理利用Level-2 M-file S-Function建立角点检测模块,其次根据角点匹配原理利用Simulink模型库搭建出角点匹配模块,最后将各个模块连接起来形成实验平台。此平台将每个模块封装,可以从模块外部更方便的调整参数,通过图像角点检测和匹配效果来测试各个模块性能,及参数影响效果。实验结果表明,该系统满足实验测试要求。     

基于SAT的可逆线路检测集生成算法

可逆逻辑是量子计算的基本特征,也是日益突出的低能耗需求的一种解决方案。根据可逆电路的可控制性和可观测性,论文提出了一种基于逻辑可满足性的算法来自动产生单门失效错误的完备检测集。基于k-NOT门的可逆逻辑线路中的数据传输进行线性建模,用线性时态逻辑描述单门失效错误约束,运用SAT求解器寻求反例的方法自动生成可逆电路的错误检测集。实验结果显示,本方法能够有效的应用于不规则和复杂的基于k-NOT门的可逆逻辑线路,自动化程度高。     

A generalized sensor location model for the estimation of network origin–destination matrices

This study examined the network sensor location problem by using heterogeneous sensor information to estimate link-based network origin–destination (O–D) demands. The proposed generalized sensor location model enables different sensors’ traffic monitoring capabilities to be used efficiently and the optimal number and deployment locations of both passive- and active-type sensors to be determined simultaneously without path enumeration. The proposed sensor location model was applied to solve the network O–D demand estimation problem. One unique aspect of the proposed model and solution algorithms is that they provide satisfactory network O–D demand estimates without requiring unreasonable assumptions of known prior information on O–D demands, turning proportions, or route choice probabilities. Therefore, the proposed model and solution algorithms can be practically used in numerous offline transportation planning and online traffic operation applications.     

城市道路路面养护措施探讨

现今国内大部分城市道路均存在不同程度的路面损坏情况，缩短了道路的使用时间。目前，不少城市已针对城市道路的现状进行相应的养护，并取得良好的效果，促进了城市的发展。     

某型舰船阀门内漏温差检测法可行性研究

文章针对某型舰船阀门的使用环境状况和内漏特性，提出一套方便可行的温差检测方法及检测系统，通过检测高温介质断流后阀门发生内漏时其前后温度的差异值，来确定阀门的内漏情况，使阀门内漏得到及时监控和处置。     

沧州市新华桥检测及维修加固设计简介

简述沧州市新华桥试验检测过程及结论,针对桥梁缺损状况进行原因分析,详细介绍了维修加固设计要点及主要环节的施工工序。     

A traffic congestion detection and information dissemination scheme for urban expressways using vehicular networks

The cooperative vehicle-infrastructure technologies have enabled vehicles to collect and exchange traffic information in real time. Therefore, it is possible to use Vehicular Ad-hoc NETworks (VANETs) for detecting traffic congestion on urban expressways. However, because of the special topology of urban expressways (consisting of both major and auxiliary roadways), the existing traffic congestion detection methods using VANETs do not work very well. In addition, the existing dissemination methods of congestion information lack the necessary control mechanism, so the information may be disseminated to irrelevant geographical areas. This paper proposes a congestion detection and notification scheme using VANETs for urban expressways. The scheme adopts a simplified Doppler frequency shift method to estimate and differentiate traffic conditions for major and auxiliary roadways. Vehicular cooperation and human cognition are introduced to improve the estimation accuracy and to describe the overall traffic conditions. Additionally, the scheme develops a spatial–temporal effectiveness model based on the potential energy theory to control the dissemination area and survival time of the congestion information. Meanwhile, the proposed scheme uses several broadcast control mechanisms to alleviate vehicular network congestion. Simulations through TransModeler indicate that our scheme ensures the accuracy of the estimation of congestion degree. Consequently, the scheme can provide effective references for driving decision-making and path-planning.     

智能驾驶实时目标检测的深度卷积神经网络

为提高深度学习神经网络运行速度,满足智能驾驶对算法实时性的要求,基于一种一体化实时目标检测算法YOLO和一种目标检测网络模型Faster RCNN,提出一种结合两者特点的实时目标检测神经网络。该网络保留区域卷积神经网络(R-CNN)算法的二次检测模式和区域生成神经网络RPN,去掉先验框,采用YOLO直接预测位置。结合Mask R-CNN中的ROI-Align方法进行二次位置修正,减少了Faster R-CNN中ROI-pooling所带来的位置预测偏差。对改进后的网络在KITTI数据集上进行测试,结果表明:改进后的神经网络检测一次仅耗时38 ms,检测的平均精确度高于YOLO和Faster RCNN,且对于不同大小的目标都具有很好的泛化能力。     

公路施工质量控制与质量检测评价

公路施工之前的质量控制要解决好勘察设计、地质选线、施工图设计等阶段的问题。施工中的质量控制重点在于高填路堤施工技术控制、桥梁施工的质量控制和沥青路面质量控制，并做好公路施工技术管理。公路质量检测评价包含检测评价制度、检测人员专业技术水平、材料控制、施工现场质量控制以及分项工程的质量验收。