基于“1+3”的复合型人才课程体系的探索与实践——以新能源汽车技术专业为例

当前时期,针对复合型人才教学体系的创新,应当有对性地构建起更加完善的人才培养体系,并做好对于学生的专业性知识技能和专业性职业技能优化培养。结合现阶段的新能源汽车技术专业培养,要针对把握性教学标准和教学要求,做好有效性的更新和完善,本文主要结合基于"1+3"的复合型人才课程体系的探索与实践展开了研究分析。     

Daily activity pattern recognition by using support vector machines with multiple classes

The focus of this paper is to learn the daily activity engagement patterns of travelers using Support Vector Machines (SVMs), a modeling approach that is widely used in Artificial intelligence and Machine Learning. It is postulated that an individual’s choice of activities depends not only on socio-demographic characteristics but also on previous activities of individual on the same day. In the paper, Markov Chain models are used to study the sequential choice of activities. The dependencies among activity type, activity sequence and socio-demographic data are captured by employing hidden Markov models. In order to learn model parameters, we use sequential multinomial logit models (MNL) and multiclass Support Vector Machines (K-SVM) with two different dependency structures. In the first dependency structure, it is assumed that type of activity at time ‘t’ depends on the last previous activity and socio-demographic data, whereas in the second structure we assume that activity selection at time ‘t’ depends on all of the individual’s previous activity types on the same day and socio-demographic characteristics. The models are applied to data drawn from a set of California households and a comparison of the accuracy of estimation of activity types and their sequence in the agenda, indicates the superiority of K-SVM models over MNL. Additionally, we show that accuracy in estimating activity patterns increases using different sets of explanatory variables or tuning parameters of the kernel function in K-SVM.     

Virtual durability test rigs for automotive engineering

In recent years so-called ‘virtual test rigs’ have become more and more important in the development process of cars and trucks. Originally, the idea was to substitute expensive durability tests with computer simulation. Meanwhile, the focus has changed towards a more cooperative usage of numerical and laboratory rig simulation. For many safety critical issues laboratory tests remain indispensable. In early development stages, when no physical prototypes are available yet, numerical simulation is used to analyse and optimise the design. In this paper, we show how to build numerical simulation models of complex servo-hydraulic test systems and their test specimen using multi-body simulation for the mechanics in combination with simulation models for the hydraulics and controls. We illustrate this at two industrial application examples: a spindle-coupled passenger car suspension rig and a tyre-coupled full vehicle rig. We show how the simulation models are used to design and optimise better test rigs and to support the test rig operation by preparing the physical tests with new specimen, i.e. by performing numerical simulations including numerical drive file iteration before the physical tests start.     

基于安全库存管理的钢板采购订单优化

为合理安排钢板采购，有效降低库存占用，开展基于安全库存管理的钢板采购订单（Purchase Order，PO）优化研究。基于钢板采购流程和采购目标，分析钢板安全库存影响因素。根据钢板管理业务流程，阐述钢板安全库存管理流程，对钢板PO进行优化，帮助船厂更好地实现钢板管理。     

应用框架的设计及安全管理构件的实现

框架实现了代码重用、设计重用、以及分析重用,从而大幅度降低了开发的成本,提高了生产效率和产品质量。因此,对框架的研究和实践越来越引起学术界和产业界的高度重视。本文通过对某电网调度系统的深入调研,利用领域工程知识,设计了一个基于J2EE平台的综合应用框架,并实现了部分功能。     

矿物掺合料对除冰盐环境下混凝土氯离子扩散中劣化效应系数的影响

采用化学分析方法,测定了高强混凝土(HSC)和高性能混凝土(HPC)在3种氯盐环境中的自由氯离子分布规律。根据F ick第二扩散定律和相关公式计算了混凝土中氯离子扩散的劣化效应系数(K)。结果表明:在除冰盐环境下,不掺掺合料的HSC存在劣化现象;掺加粉煤灰(FA)的HPC不存在劣化现象;掺加硅灰(SF)能减小混凝土的劣化程度,掺量为5%时效果最佳;双掺硅灰和粉煤灰(SF FA)的HPC不存在劣化现象。     

An Intelligent Response Surface Methodology for Modeling of Domain Level Constraints

An effective modeling method of domain level constraints in the constraint network for concurrent engineering （CE） was developed. The domain level constraints were analyzed and the framework of modeling of domain level constraints based on simulation and approximate technology was given. An intelligent response surface methodology （IRSM） was proposed, in which artificial intelligence technologies are introduced into the optimization process. The design of crank and connecting rod in the V6 engine as example was given to show the validity of the modeling method.     

简化的能力谱方法在桥梁结构中的应用

为研究简化的能力谱方法的计算精度,通过一座连续桥梁的实际算例,给出简化能力谱方法的具体应用过程。建立简化横向单墩计算模型,用SAP2000有限元程序对模型进行推导分析,得到能力谱曲线;将三条不同地震记录对应的反应谱曲线转化为ADRS格式的需求谱曲线,并与得到的能力谱曲线绘于同一坐标系下,两种曲线的交点即为结构在相应地震动下的弹性响应,继而求得结构相应的非弹性响应。用非线性时程分析方法对同一计算模型及三条地震动加速度纪录进行分析,与采用简化的能力谱方法下得到的计算结果进行比较,从中看出:简化的能力谱方法可以用较少的计算工作量得到比较精确的结构非线性响应;在该方法中采用 μ T关系式,会得到不同精度的计算结果。不同的Rμ     

CKD4C型电传动内燃机车

CKD4c型电传动内燃机车用于委内瑞拉国家铁路自治局货物运输业务。介绍了该型机车的主要技术特点．总体布置、技术参数等。CKD4c型机车性能满足用户的要求，综合体现了“先进、成熟、经济、适用、可靠”的技术原则。     

基于小波包变换的非线性自适应均衡器算法

提出了一种基于小波包变换的非线性均衡器,利用小波包对信号较强的去相关能力来提高均衡器的收敛速度,并通过能量归一化过程给出了一种自适应均衡算法。在仿真实验中,针对无线通信数字信号传输过程中由于多径效应和信道衰落而产生的码间干扰(ISI)问题,比较了最小均方(LMS)算法和基于小波包变换的均衡器算法的均衡效果,并对不同尺度下的均衡算法进行了比较。结果表明,基于小波包变换的均衡算法具有更快的收敛速度;当小波包基的分解尺度增大时,均衡器的收敛速度也随之加快。