疫情背景下高职院校网络课程面临的问题及对策研究

疫情防控推动了包括中国职业教育领域在内的社会各领域的进步和革新。客观看,疫情防控加速了职业教育网络课程的变革、拓展了网络课程的内容、促进了网络课程评价机制的完善、助推了网络课程效能及质量的提升、引起了人才培养标准和价值判断的变化。本文尝试探讨疫情期间,汽车检测与维修技术专业,在网络教学过程中的遇到的问题和解决办法。     

基于银联支付接口的车船税网上申报缴纳系统的设计与实现

为了免去广大机动车主窗口办理业务带来的不便之处,通过开发实施网上缴费系统提供便民服务,对已经登记过资料的非首次缴费机动车提供网上申报缴纳车船税功能,并提供发票打印功能;另外也为业务管理部门工作人员提供相关的后台统计管理工具,能够自动统计相关数据,呈现对应的统计报表。     

轮对参数在线自动检测方法与系统的研究

介绍了一种针对运行列车基于激光三角法原理的轮对参数在线自动检测系统,论述了其测量原理和工作方法。该方法是将线激光器和摄像机分布在钢轨的内外两侧,线激光器投射到车轮的踏面上,外时钟同步触发摄像机,获取车轮截面轮廓图像,采用基于平面靶标的方法实现CCD摄像机的标定,通过坐标变换,求解算出轮对的各个参数。实测表明,该系统可完成运行列车轮对参数的自动测量。     

基于物联网技术的盾构油液在线监测系统研究

为预防盾构故障、降低施工风险，通过长期对盾构检测数据积累和运行状态的研究，研制一套适用于盾构的油液在线监测系统，能够对主轴承润滑油、液压油的黏度、水分和激光颗粒度等指标进行实时监测和远程监测，分析和判断盾构的性能状态，确保盾构顺利施工。在盾构上安装该系统进行试验，系统采集的数据与离线检测的数据基本一致，部分数据最大偏差3.62%，能够反映出盾构运行的真实状态，数据的稳定性和准确性也能满足使用需求。盾构油液在线监测系统的成功研制可为今后盾构管理工作的自动化、网络化、智能化奠定基础。     

基于OpenGL的船用SINS可视化仿真系统

针对OpenGL技术在捷联惯性技术中的应用，根据舰船在海上运动的特点，通过建立数学模型模拟惯性器件输出，进行捷联系统仿真，并在MFC平台上运用OpenGL技术将实时解算出的舰船姿态角，位置和速度信息在虚拟三维海景中呈现出来，动态显示导航信息误差曲线，实现了系统的在线评估。     

基于用户关系的在线社会网络关键用户识别算法

为了从在线社会网络中识别关键用户,并对用户的关键性进行量化排序,提出URRank算法,通过模拟人类社会的投票行为,综合考虑用户自身的活跃度和用户间的关注与互动关系,经过迭代计算,量化用户的关键性.以新浪微博的部分抓取数据为例,通过比较现有几种关键用户排序算法发现,URRank算法能够避免其他算法存在的被欺骗及片面性问题,识别出具有高认知度和高覆盖度的关键用户.     

客户关系管理在交通在线服务体系设计中的应用与创新

通过对交通在线服务体系进行系统研究,引入客户关系管理理论,全面阐述了客户关系管理在我国交通在线服务体系设计中的应用与创新,填补了基于客户关系管理的交通运输行业政府网站建设的研究空白。     

Travel-based multitasking: review of the role of digital activities and connectivity

ABSTRACT

Travel-based multitasking, also referred to as travel time use, is now a well-established concept, whose existence is supported by the technological trajectories, with mobile information and communication technologies (ICT) and vehicle automation working together to allow travel time to be more productive and enjoyable. Despite existence of reviews of travel-time multitasking studies, the systematic overview of the role digital activities, i.e. those that necessarily require modern ICT equipment to participate, has been limited, often wrapped under the umbrella term “use of ICT”, potentially obscuring their complexity and sophistication. Similarly, the role of connectivity and its attributes, e.g. speed (bandwidth), reliability, price, ease of use, data allowance or security, deserves a more systematic overview given its key role in enabling digital online activities and hence the travel-based multitasking options. This paper provides a review of 77 empirical travel-based multitasking-studies that explored the role of digital activities or connectivity. In particular, the review discusses the existing typologies of digital activities, dividing them into hardware-centric, function-centric or a combination of both (mixed). Subsequently, key contributions are discussed with respect to the treatment of digital activities and connectivity and its attributes. Based on the review, it is possible to observe that the existing studies have looked only at a handful of rather restricted online activities that do not sufficiently capture the sophistication with which individuals interact with the virtual world nowadays. Furthermore, the role of connectivity, although deeply embedded in the “C” of the “ICT” concept, has not been looked at or modelled in any detail in studies related to travel time use or its quality. This existing shortcoming might have resulted in an insufficient understanding of the mechanisms driving travel time use, the associated experience indicators of customer satisfaction, productivity or the consequences for relative attractiveness of transport modes. All of these considerations remain, however, crucial for designing, appraising and operating transport infrastructure and services that are able to take the advantage of lifestyle digitisation to meet the increasing customer needs while also delivering broader economic, social benefits and possibly also environmental benefits.     

面向前车的驾驶行为感知与意图识别算法研究

感知周围车辆的驾驶行为并识别其意图将成为新一代高级驾驶辅助系统的重要组成部分。针对现有方法只考虑单一驾驶行为且可扩展性和可伸缩性差,提出一种基于稀疏表示理论的驾驶行为感知字典模型(Driving Behavior Perception Dictionary Model, DBPDM)。将车辆行驶状态视为时间序列,设计基于自回归积分移动平均(Autoregressive Integrated Moving Average,ARIMA)结合在线梯度下降(Online Gradient Descent, OGD)优化器的在线预测模型,提出基于驾驶行为预测的意图识别构架(Intention Recognition Framework, IRF)。首先,采用图Lasso方法估计典型驾驶行为的稀疏逆协方差矩阵构建驾驶行为字典库,并采用Logdet散度方法计算各逆协方差矩阵的差异获得行为感知字典模型。然后,基于在线预测模型对目标车辆的行驶轨迹和运动状态进行预测,结合主车车辆的行驶状态作为稀疏表示的观测信号,以获取预测时域内的目标车辆意图。最后,采用NGSIM (Next Generation SIMulation)真实驾驶数据对模型进行开发和测试。研究结果表明:所提出的行为感知模型能对6种典型驾驶行为构建行为字典,在分类准确率上与现有方法相比有明显提升,对换道和转向行为样本的平均识别准确率分别达到99.1%和92.9%;该模型能够在相对早期阶段准确地识别出车辆行为;在线预测算法能较好预测出目标车辆的行驶轨迹和运动状态,从而间接地反映出其在预测时域内的驾驶意图;IRF可在换道和转向行为开始前的1.5 s较为准确地识别出目标车辆的意图,平均识别准确率超过80%。     

基于Web的货车检修工序监测系统的研制

介绍了铁路货车检修工序进展监控与管理软件的设计.系统通过Web服务器的串口所连接的无线通信模块与现场的无线手持机通信.主机通过轮询方式查询手持机发送的作业进展信息,利用多线程协调完成通信信息的获取与分析.同时,系统采用B/S模式在浏览器页面能对检修工序进展进行实时监视.在Web服务器端,利用Spring任务定时实现每天工作的启停,以及用Spring编写REST风格的Web服务.在浏览器端,利用AJAX技术实现对Web服务的访问,以及将显示结果在页面上动态显示.Web服务通过Json变换向浏览器传递对象消息.