基于HCM的可扩展路由器体系结构MER

本文提出了基于层次化协同模型的多维可扩展路由器MER。参考Open Router路由器模型,利用层次化协同模型实现了独立于数据层的控制平台CSP,奠定了开放控制的基础;基于功能插件和抽象插件构造了基于插件的路由器抽象层PRA,分离了控制与转发平面,支持路由器转发平面功能的动态扩展;并举例说明了MER中高效的网络应用控制路由选择机制,体现了直接控制原理,有助于设计更为复杂的控制策略。模拟结果表明,MER具有良好的扩展性,支持网络应用直接控制,为控制平面智能化奠定基础。     

一种基于MOF技术的网络建模研究与实现

基于模型驱动架构方法极大提高了软件的开发效率,而模型之间的转换是开发基于模型驱动架构应用工具的关键技术。采用MOF技术建立不同类型模型结构,运用XMI Bus的数据交换技术将MOF和XML很好地结合在一起,极大降低了模型转换的壁垒,使得异构环境下的工具和各种模型间的交互变得简单。本文研究了MOF的相关技术,最后运用该技术实现了网络中的建模过程。     

高性能路由器组播协议实现技术研究

网络流媒体等新型应用的快速发展对路由器具备组播功能提出了迫切需求.针对如何在基于网络处理器的路由器中高效地实现组播协议进行了研究.在路由器标准功能软件基础上实施扩展,提出了IGMP和PIM等组播协议实现的软件结构,利用网络处理器灵活可编程性与高性能的优点,对其关键技术进行了设计和实现.协议测试结果表明,该路由器组播协议系统运行效果良好,最后,展望了IP组播技术发展.     

基于．NET的工作流应用系统设计

分析工作流引擎调度中过程实例和活动实例的状态信息,以关系数据库和.NET来实现工作流的执行引擎,介绍完整的过程E-R关系模型及其相关数据模型,阐述流程调度算法,给出应用实例.在轻量级的工作流管理系统中,该引擎能实现流程的顺利流转.文中设计的工作流引擎已成功应用于电信行业的工程项目管理系统中.     

基于VRRP+MSTP协议的可靠性网络设计

针对现代企业对网络的可靠性需求,根据VRRP(Virtual Router Redundancy Protocol)和MSTP (Multiple Spaning Tree Protocol)协议理论,设计了一种方案使企业在访问网络中心数据时能实现路由冗余和负载均衡,在跨交换机同一子网内互访时也能够实现路由冗余和负载均衡,从而保证企业内关键业务的不间断运行,实现了网络的可靠性设计.     

UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation

Potential safety hazards (PSHs) along the track needs to be inspected and evaluated regularly to ensure a safe environment for high-speed railroad operations. Other than track inspection, evaluating potential safety hazards in the nearby areas often requires inspectors to patrol along the track and visually identify potential threads to the train operation. The current visual inspection approach is very time-consuming and may raise safety concerns for the inspectors, especially in remote areas. Using the unmanned aerial vehicle (UAV) has great potential to complement the visual inspection by providing a better view from the top and ease the safety concerns in many cases. This study develops an automatic PSH detection framework named YOLARC (You Only Look at Railroad Coefficients) using UAV imagery for high-speed railroad monitoring. First, YOLARC is equipped with a new backbone having multiple available receptive fields to strengthen the multi-scale representation capability at a granular level and enrich the semantic information in the feature space. Then, the system integrates the abundant semantic features at different high-level layers by a light weighted feature pyramid network (FPN) with multi-scale pyramidal architecture and a Protonet with residual structure to precisely predict the track areas and PSHs. A hazard level evaluation (HLE) method, which calculates the distance between identified PSH and the track, is also developed and integrated for quantifying the hazard level. Experiments conducted on the UAV imagery of high-speed railroad dataset show the proposed system can quickly and effectively turn UAV images into useful information with a high detection rate and processing speed.     

Real-time 3D multi-pedestrian detection and tracking using 3D LiDAR point cloud for mobile robot

Mobile robots are used in modern life; however, object recognition is still insufficient to realize robot navigation in crowded environments. Mobile robots must rapidly and accurately recognize the movements and shapes of pedestrians to navigate safely in pedestrian-rich spaces. This study proposes real-time, accurate, three-dimensional (3D) multi-pedestrian detection and tracking using a 3D light detection and ranging (LiDAR) point cloud in crowded environments. The pedestrian detection quickly segments a sparse 3D point cloud into individual pedestrians using a lightweight convolutional autoencoder and connected-component algorithm. The multi-pedestrian tracking identifies the same pedestrians considering motion and appearance cues in continuing frames. In addition, it estimates pedestrians' dynamic movements with various patterns by adaptively mixing heterogeneous motion models. We evaluate the computational speed and accuracy of each module using the KITTI dataset. We demonstrate that our integrated system, which rapidly and accurately recognizes pedestrian movement and appearance using a sparse 3D LiDAR, is applicable for robot navigation in crowded spaces.     

带有资源冲突的Seru在线并行调度算法

随着大规模定制的市场需求日趋显著,赛如生产系统(Seru production system,SPS)应运而生,逐渐成为研究和应用领域的热点.本文针对带有资源冲突的Seru在线并行调度问题进行研究,即需要在有限的空间位置上安排随动态需求而构建的若干Seru,以总加权完工时间最小为目标,决策Seru的构建顺序及时间.先基于平均延迟最短加权处理时间(Average delayed shortest weighted processing time,AD-SWPT)算法,针对其竞争比不为常数的局限性,引入调节参数,得到竞争比为常数的无资源冲突的Seru在线并行调度算法.接下来,引入冲突处理机制,得到有资源冲突的Seru在线并行调度算法,αAD-I(α-average delayed shortest weighted processing time-improved)算法,特殊实例下可通过实例归约的方法证明其竞争比与无资源冲突的情况相同.最后,通过实验,验证了在波动的市场环境下算法对于特殊实例与一般实例的优越性.     

基于建构主义的程序设计教学实例设计

在程序设计教学中,实例设计的优劣影响整个程序设计的教学效果。本文以VB程序设计教学为例,提出一种基于建构主义学习理论、融合情境创设教学理念的实例设计方法。使用生活中真实熟悉的软件实例,从整体上由浅入深渐进式把握程序设计的教学。教研组多次教学实践证明,使用该方法设计实例进行教学,易于激发学生的学习兴趣和探究欲望,利于学生的主动意义建构。