基于项目驱动式教学法的高职基础会计课程教学设计

项目驱动式教学法是一种注重学生职业能力培养的教学法。文中以基础会计教学过程中的一个项目设计为例,指出了如何运用项目驱动式教学法进行教学,并分析了运用项目驱动式教学法时应注意的几个问题。     

碾压膨胀土波速变化规律及声波技术应用探讨

针对百色地区膨胀土,利用TH204非金属超声波测试系统,对以最佳含水率和塑限含水率为控制含水率下的碾压膨胀土进行声波测试,得到了等幅度干湿循环作用后的纵波速度的变化规律。试验研究结果表明,随着循环次数的增加,不同控制含水率下碾压膨胀土试件的平均纵波速度呈非线性衰减,其0～1次循环,衰减程度最大。循环幅度对膨胀土的波速衰减有较大的影响,循环幅度越大,纵波速度衰减越大。结合声波技术在岩体材料中的应用,探讨了声波技术在路基膨胀土中的应用问题。     

经济型轿车传动轴布置校核设计方法

为研究经济型轿车传动轴布置的设计方法,以2轴式布置形式的传动轴为倒,初定轴长,利用CATIA软件模拟传动轴实际工况下数模状态,并对各状态的固定节夹角和移动节滑移曲线进行校核,通过对各工况下数模间隙检查,识别风险部位。经校核：左右传动轴移动节滑移距离均满足滑移曲线要求,固定节最大夹角为42．24°（〈45°）,移动节最大夹角为13．76°（〈23°）,传动轴跳动过程中与周围部件最小间隙均大于10mm,满足设计要求。设计及校核方法已经过多车型的实际验证,效果较好,对传动轴布置有一定指导意义。     

P2构型混合动力汽车电压控制功能算法研究

为解决P2构型混合动力汽车的高压电池管理系统(BMS)发生严重故障切断继电器时,12 V电源易消耗殆尽而被迫停车的问题,提出了控制驱动电机发电维持母线电容电压的方法,达到经DC/DC对12 V电源充电的目的.因电机转速和低压负载的急剧变化会对母线电压造成较大波动,同时考虑电机电磁参数和负载变化速率对母线电压的影响,设计...     

电动汽车轮毂电机发展综述

在节能减排、气候变化等多重因素驱动下,许多国家正在积极促进电动汽车产业的发展。轮毂电机驱动是现代电动汽车驱动方式的一个发展方向。文章主要通过对轮毂电机驱动技术的优势和特点进行简单介绍,分析其国内外研究现状,总结出目前轮毂电机存在的一些问题及解决措施,并指出了轮毂电机技术的趋势。     

基于CVT的混联式电动汽车动力切换平稳性研究

针对四轮驱动越野车提出了一种基于金属带式无级自动变速器(CVT)的混联式结构,其动力切换平稳性是这种混联式电动汽车必须解决的关键技术之一。通过发动机、电机、离合器和CVT的协调控制可以使系统在驾驶员发出加速命令时快速响应以及在模式切换时平稳,这将保证驾驶员在车辆切换过程中没有异常感觉。     

基于支持向量数据描述的驱动桥异响检测

针对驱动桥异响检测缺乏故障样本的问题,提出了异响检测的单值分类法———支持向量数据描述法(SVDD)。这种方法只需要正常运行状态的数据样本,就可以建立单值分类器,区分出正常和异常状态。试验中,提取驱动桥振动信号频谱的二维谱熵作为特征指标,输入到SVDD分类器。结果表明SVDD算法计算效率高,分类效果好,可以满足在线检测的要求。     

Orchestration of driving simulator scenarios based on dynamic actor preparation and automated action planning

In driving simulation, a scenario includes definitions of the road environment, the traffic situation, simulated vehicles’ interactions with the participant’s vehicle and measurements that need to be collected. The scenarios need to be designed in such a way that the research questions to be studied can be answered, which commonly imply exposing the participant for a couple of predefined specific situations that has to be both realistic and repeatable. This article presents an integrated algorithm based on Dynamic Actor Preparation and Automated Action Planning to control autonomous simulated vehicles in the simulation in order to generate predefined situations. This algorithm is thus able to plan driving actions for autonomous vehicles based on specific tasks with relevant contextual information as well as handling longitudinal transportation of simulated vehicles based on the contextual information in an automated manner. The conducted experiment shows that the algorithm is able to guarantee repeatability under autonomous traffic flow. The presented algorithm can benefit not only the driving simulation community, but also relevant areas, such as autonomous vehicle and in-vehicle device design by providing them with an algorithm for target pursue and driving task accomplishment, which can be used to design a human-vehicle cooperation system in the coming era of autonomous driving.     

Measuring risk aversion to guide transportation policy: Contexts,incentives, and respondents

Road pricing may provide a solution to increasing traffic congestion in metropolitan areas. Route, departure time and travel mode choices depend on risk attitudes as commuters perceive the options as having uncertain effects on travel times. We propose that Experimental Economics methods can deliver data that uses real consequences and where the context can be varied by the researcher. The approach relies on the controlled manipulation of contexts, similar to what is done in the Stated Choice approach, but builds in actual consequences, similar to the Revealed Preference approach. This paper investigates some of the trade-offs between the cost of conducting Experimental Economics studies and the behavioral responses elicited. In particular, we compare responses to traditional lottery choice tasks to the route choice tasks in simulated driving environments. We also compare students (a low cost convenient participant pool) to field participants recruited from the driving population. While we see initial differences across our treatment groups, we find that their risk taking behavior converge with minimal repetition.     

Comparative evaluation of resource cycle strategies on operating and environmental impact in container terminals

This paper examines the use of single and dual cycle operations for three types of resources, namely, quay cranes, vehicles, and yard cranes to improve the operating efficiency and reduce the energy consumption in a container terminal. Various cycle strategies are proposed and their corresponding estimation models, describing the stowage distributions of outbound and inbound containers on a ship and the storage sharing level of blocks in the yard, are formulated to estimate the total number of cycles for the resources. Statistical analyses are conducted to evaluate and compare the effect of different cycle strategies on the cycle reductions. From the experiment results, it was found that collaboration between resources with the single cycle operation always outperforms that under the dual cycle operation without collaboration.