Trip Chain's Activity Type Recognition Based on Support Vector Machine

This paper focuses on support vector machine (SVM) based trip chain's activity type recognition. First, the time-series location information of person trip is processed to obtain the trip chain elements including moving processes and activities, and the activity options are extracted from the geographic information system (GIS) around the activity sites. Second, the activity features are drawn from spatio-temporal factors of trip chain to serve as the input feature vector of classifier. A SVM based one-to-one classifier is established and the method of one-to-one classifier voting is adopted to decide the most likely activity type from the activity options. Finally, the classifiers are trained with simulation data based on the Gaussian radial basis (RBF) kernel function and the multilayer perception (MLP) kernel function respectively, and then examined by cross validation. The result shows that in the one-to-one classifying scheme, the highest and lowest right recognition rate with RBF are 99% and 62%, and the corresponding results with MLP are 97% and 54%, respectively.     

Fast direction of arrival algorithm based on vector-sensor arrays using wideband sources

An acoustic vector sensor （AVS） can capture more information than a conventional acoustic pressure sensor （APS）. As a result, more output channels are required when multiple AVS are formed into arrays, making processing the data stream computationally intense. This paper proposes a new algorithm based on the propagator method for wideband coherent sources that eliminates eigen-decomposition in order to reduce the computational burden. Data from simulations and lake trials showed that the new algorithm is valid： it resolves coherent sources, breaks left/right ambiguity, and allows inter element spacing to exceed a half-wavelength.     

蓄电池测试系统中SVPWM与SPWM的比较研究

针对高性能蓄电池测试系统主变流电路采用的SVPWM和SPWM调制方法，分析了二者间的内在联系，并进行了性能比较。在数字化控制系统中，较SPWM方案，SVPWM方案不仅提高了逆变器的直流电流利用率，且减小了输出电流的纹波系数，降低了谐波污染，使电路更接近单位功率因数运行。     

Development of a semi-empirical friction model in automotive driveshaft joints

High speed and sport utility vehicles with large joint articulation angle demand lower friction in automotive driveshaft joints to meet noise and vibration comfort levels. Thus a more thorough understanding of internal friction characteristics and mechanisms is required. In this paper, a friction model in automotive driveshaft joints was developed through the use of test data from an instrumented Constant Velocity (CV) joint friction apparatus with actual driveshaft assemblies. Experiments were conducted under different realistic operating conditions of oscillatory speeds, CV joint articulation angles, lubrication, and torque. The experimental data was used to develop a physics-based semi-empirical CV joint internal friction model as a function of different CV joint operating parameters. It was found that the proposed friction model captures the experimental results well. Also the friction model estimates the generated axial force (GAF) in tripod CV joints well, which is the main source of force that causes vehicle vibration problems.     

定子电压定向矢量控制系统在泵站电动机上的研究

采用定子电压定向矢量控制策略在d-q坐标系中建立的数学模型,实现对双馈电机的转速和功率因数控制.并在泵站进行了实验运行.     

三种基于四元数模型的声矢量阵MUSIC算法

传统的基于长矢量模型的MUSIC算法没有充分利用矢量水听器各分量之间的正交特性,存在多目标分辨能力不足的缺点。针对这一情况,文中引入了四元数的概念,利用四元数能更好地描述矢量水听器各分量的正交结构这一优点,提出了三种基于四元数模型的二维声矢量阵方位估计算法:Q-VV算法、Q-PV算法和Q-PVV算法。与基于长矢量模型的MUSIC算法相比,新算法降低了协方差矩阵的维数,占用更少的内存空间。同时,由于利用了四元数强正交性约束的特点,新算法有好的单目标估计精度和多目标分辨能力。其中:Q-PV算法和Q-PVV算法利用了声压与振速的相干性,抗各向同性干扰的能力优于Q-VV算法。仿真实验证明了算法的有效性。     

日照港LNG码头配套航道及防波堤工程方案

日照港岚山港区北作业区规划新增LNG码头,针对其配套航道及防波堤工程平面布置问题,提出3个方案。采用数值模拟方法,推算不同方案下港池、航道,尤其是口门处的测点流速。计算结果表明,工程建设后,港池内各点在防波堤掩护下流速有所降低;受防波堤挑流作用的影响,口门位置处横流流速达到最大;以方案2流速相对较小,且流速大于某一值的持续时间较短。在方案2基础上进行优化,将一段防波堤调整为导流堤,由于导流堤上方可通过一部分水体,堤头附近航道横流有所减小。     

肋骨非均匀排列的圆柱壳振动特性研究

研究了肋骨非均匀排列对加肋圆柱壳振动特性的影响。首先,以安德森定域效应的原理为基础,肋骨间距为随机分布,分析了肋骨非均匀排列时圆柱壳的振动特性,然后,采用两种肋骨间距,交替排列,构造整个圆柱壳的肋骨不等间距排列形式,两种肋骨间距的确定方法是:保持两种肋骨间距的总和不变,逐步增大两者的间距差,从而增加相邻的肋骨间的两个圆环结构的固有频率差,直至固有频率差趋于不变,最终确定了两种肋骨间距。分别计算并对比分析了肋骨等间距和不等间距排列的圆柱壳的均方振速,结果表明:肋骨不等间距排列具有一定的减振效果。     

瑞雷波技术在巨粒土路基中的应用研究综述

在对瑞雷面波勘探技术及其在工程中的应用现状回顾的基础上,剖析了瑞雷面波频散曲线正、反演方法的进展及存在问题,提出了通过理论模型和试验测得巨粒土路基中瑞雷波的传播速度,根据波速和路基强度的相关性,建立横波波速与巨粒土路基变形指标之间的关系的思路,从全新的角度评价巨粒土路基的填筑情况,建立相应的变形控制指标,把路基不均匀沉降控制、路面设计指标与质量检测评价指标有机地联系起来,使路基施工、路面设计理论上升到新的理论高度,将是其发展趋势。     

基于PCA-SVM的边坡稳定性预测模型研究

提出了一种基于主成分分析(PCA)和支持向量机(SVM)的边坡稳定性预测模型。首先分析了影响边坡稳定性的因素,采用主成分分析方法求取主成分;再将主成分作为输入对支持向量机进行训练,并利用遗传算法优化支持向量机参数;最后通过实例与常用寻参方法所得结果进行比较。结果表明,该法能减少输入变量维数,提高了边坡工程稳定性的预测精度。