Modeling time-of-day car use behavior: A Bayesian network approach

In this research, a Bayesian network (BN) approach is proposed to model the car use behavior of drivers by time of day and to analyze its relationship with driver and car characteristics. The proposed BN model can be categorized as a tree-augmented naive (TAN) Bayesian network. A latent class variable is included in this model to describe the unobserved heterogeneity of drivers. Both the structure and the parameters are learned from the dataset, which is extracted from GPS data collected in Toyota City, Japan. Based on inferences and evidence sensitivity analysis using the estimated TAN model, the effects of each single observed characteristic on car use measures are tested and found to be significant. The features of each category of the latent class are also analyzed. By testing the effect of each car use measure on every other measure, it is found that the correlations between car use measures are significant and should be considered in modeling car use behavior.     

盾构法施工单机核算管理模式的应用

近年来盾构机越来越多地应用于各种隧道工程中,其中地铁应用的数量最多,约占80%。现代盾构已演变成为一种高度智能化的大型工程机械装备,对其控制的好坏将直接影响到整个工程的施工成本和企业的经营效益,而通过单机核算降低机械成本是降低施工成本、提高企业效益的有效手段,因此推行盾构法施工单机核算显得尤为重要。文章结合地铁2222标施工项目,重点介绍了盾构法单机核算管理模式及其在施工中的应用。     

基于烧结机尾断面图像处理系统的开发

介绍了DSP6711的硬件特性和烧结机尾断面图像检测、识别的原理及算法的选型,并运用基于DCT变换域的LDA特征的提取方法,实现了烧结机尾断面图像的自动识别.系统的实际运行是稳定和有效的.     

多分类转导支持向量机

为了完成分类学习,传统的支持向量机基于带标记信息的经验数据归纳出一个通用的决策函数。而转导支持向量机则不同,它考虑包含测试集在内的所有数据信息并致力于最小化测试样本的分类错误数。在已有的2类分类方法的基础上构造了直接求解多类分类问题的的转导支持向量机。     

浅析重卡新能源高压线束加工工艺

文章主要介绍的是重卡新能源高压线束工艺分解过程中,对于原材料选型、屏蔽层的处理以及导线对插接器防水性能的影响进行简单分析,简明扼要地阐述了高压线加工的难点,为线束工艺设计人员提供一些参考。     

载人潜器人因工程研究

对载人潜器人因工程的研究现状、研究范畴、技术手段和发展趋势进行梳理和总结,旨在为指导载人潜器设计总体集成优化、提高潜器综合效能、节省全寿命周期费用及缩减潜器人员编制提供参考。     

Autonomous vehicle perception: The technology of today and tomorrow

Perception system design is a vital step in the development of an autonomous vehicle (AV). With the vast selection of available off-the-shelf schemes and seemingly endless options of sensor systems implemented in research and commercial vehicles, it can be difficult to identify the optimal system for one’s AV application. This article presents a comprehensive review of the state-of-the-art AV perception technology available today. It provides up-to-date information about the advantages, disadvantages, limits, and ideal applications of specific AV sensors; the most prevalent sensors in current research and commercial AVs; autonomous features currently on the market; and localization and mapping methods currently implemented in AV research. This information is useful for newcomers to the AV field to gain a greater understanding of the current AV solution landscape and to guide experienced researchers towards research areas requiring further development. Furthermore, this paper highlights future research areas and draws conclusions about the most effective methods for AV perception and its effect on localization and mapping. Topics discussed in the Perception and Automotive Sensors section focus on the sensors themselves, whereas topics discussed in the Localization and Mapping section focus on how the vehicle perceives where it is on the road, providing context for the use of the automotive sensors. By improving on current state-of-the-art perception systems, AVs will become more robust, reliable, safe, and accessible, ultimately providing greater efficiency, mobility, and safety benefits to the public.     

GTM法在公路沥青路面施工中的应用研究

结合GTM法技术在河北省张石高速公路中的实践应用,介绍GTM法的设计原理、施工工艺和质量控制体系,尤其是对施工过程质量控制点和沥青路面最大密实度标准的研究分析,有效地降低了工程施工费用,提高了路面的服务寿命。     

土压平衡盾构法隧道施工中影响地表沉降的因素浅析

地层损失是盾构法隧道施工引起地表沉降的主要原因,正常地层损失不可避免,而非正常与灾害性地层损失仍困扰着工程技术人员。文章结合南京地铁土压平衡盾构施工实践,根据监测数据结果,对影响地表沉降的主要因素,即土压设置、注浆参数与出碴控制进行了分析,并讨论了由于操作失误、施工参数设置不当引起的非正常地层损失,以及灾害性地层损失的实例,总结了一些经验,希望对类似工程有所帮助。     

地铁盾构隧道施工对周边环境影响的监测

地铁盾构隧道在通过不良地质条件地段施工过程中会对地层产生扰动,可能引起地表及周边建筑物变形或沉降,尤其是隧道穿过正在施工的基坑止水幕墙时,可能会拉裂幕墙危及基坑及附近建筑物安全,因此必须进行监测。文章介绍了广州地铁盾构隧道施工过程中的第三方监测的经验和体会,可供同类工程施工中借鉴。