台风“达维”移动路径成因分析

利用NCEP/NCAR 1°×1°的6 h再分析资料和常规气象观测资料,综合分析了环流背景、"双台风效应"、冷空气活动和海陆下垫面对台风"达维"移动路径变化的影响,结果表明:(1)台风路径在登陆时第1次发生西折的主要原因是500 hPa副高东撤并由带状调整为块状分布,台风"苏拉"对"达维"吸附作用加强,且台风避开冷SST区趋向暖SST区行进;(2)鲁中山区的地形对台风第2次转向起到重要的阻挡作用,副高588线西伸明显,而副高边缘的西南气流增加了台风的东移分量,西风环流上短波槽的发展南下使台风向西移动的分量减弱消失,双台风强度的减弱和距离的增加使台风的吸附作用迅速减弱,这些因素共同导致了台风第2次转向。     

Analytical solutions for Euler–Bernoulli beam on visco‐elastic foundation subjected to moving load

Analytical solutions for the steady‐state response of an infinite beam resting on a visco‐elastic foundation and subjected to a concentrated load moving with a constant velocity are developed in this paper. The beam responses investigated are deflection, bending moment, shear force and contact pressure. The mechanical resistance of the foundation is modeled using two parameters k_s and t_s — k_s accounts for soil resistance due to compressive strains in the soil and t_s accounts for the resistance due to shear strains. Since this model represents the ground behavior more accurately than the Winkler spring model, the developed solutions produce beam responses that are closer to reality than those obtained using the existing solutions for Winkler model. The dynamic beam responses depend on the damping present in the system and on the velocity of the moving load. Based on the study, dynamic amplification curves are developed for beam deflection. Such amplification curves for deflection, bending moment, shear force and contact pressure can be developed for any beam‐foundation system and can be used in design. Copyright © 2012 John Wiley & Sons, Ltd.     

回归预测模型的稳健性讨论--以润扬大桥工程为例

经典的LS估计法(least squares estimation,LS estimation)是对每个观测数据都给予相同的权重,由此带来了对于异常值的处理不当,从而影响了回归模型的有效性,本文采用迭代加权最小二乘法来进行稳健估计(RobustEstimation),并基于MATLAB软件结合润扬大桥工程实例说明了此法的有效性。     

车辆监控的信息管理系统设计及其关键技术分析

本文针对大量车辆的位置定位及其信息管理等主要内容进行了研究,给出了具有广泛扩展性的车辆监控管理信息系统的设计,并对其关键技术进行了探讨,最后给出了基于GPS与GPRS的系统实例测试分析。     

基于抗差估计的实时单站GPS同震速度获取方法

基于实时单站GPS载波相位历元差分测速模型,引入抗差最小二乘估计,并根据IGGⅢ方案选择合适的等价权因子来削弱小周跳和粗差对结果的影响,并采用一组静态数据和2011年日本"3.11"地震期间MIZU站的高频数据对算法进行测试。结果表明,在含有小周跳和粗差的情况下,抗差最小二乘估计能够明显改善解算速度,可以实时获取测站毫米级的同震速度。     

遗传算法与最小二乘法相结合的遥感图像子像素匹配

图像匹配在计算机视觉和数字摄影测量中都是一项十分重要的任务。为了加速匹配并为高精度子像素匹配提供稳健而相对精度的初值，本文提出了一种基于遗传算法（GA）和最小二乘法匹配（LSM）相结合的遥感图像子像素匹配算法。实验表明：基于遗传算法的匹配算法比序贯相似度度量（SSDA）和经典的平均绝对差（MAD）方法要快得多。以我们的实验数据为例，MAD与GA在相关计算总量上的比至少为36：1。本文从理论上证明了这一点。     

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Least‐square support vector machine applied to settlement of shallow foundations on cohesionless soils

This paper examines the potential of least‐square support vector machine (LSVVM) in the prediction of settlement of shallow foundation on cohesionless soil. In LSSVM, Vapnik's ε‐insensitive loss function has been replaced by a cost function that corresponds to a form of ridge regression. The LSSVM involves equality instead of inequality constraints and works with a least‐squares cost function. The five input variables used for the LSSVM for the prediction of settlement are footing width (B), footing length (L), footing net applied pressure (P), average standard penetration test value (N) and footing embedment depth (d). Comparison between LSSVM and some of the traditional interpretation methods are also presented. LSSVM has been used to compute error bar. The results presented in this paper clearly highlight that the LSSVM is a robust tool for prediction of settlement of shallow foundation on cohesionless soil. Copyright © 2008 John Wiley & Sons, Ltd.     

混合LS-TLS的GM（1,1）模型在基坑水平位移监测中的应用

通过分析传统GM（1,1）模型的局限性,提出了混合整体最小二乘法（混合LS-TLS）的GM（1,1）模型,并将其应用于宁夏某深基坑水平位移的监测中。同时,将此模型与最小二乘法（LS）的GM（1,1）模型及整体最小二乘法（TLS）的GM（1,1）模型进行了对比,分析了3种模型所求水平位移的预测值。结果表明,混合LS-TLS的GM（1,1）模型更符合工程实际,预测精度更高,在深基坑水平位移监测中具有一定的实用性。     

一种削弱NLOS影响的定位算法

通过获取坐标已知的基站间TOA值由此得到它们之间的伪距,与其真实距离做差再取平均值的方法,得到在NLOS误差改正值。具体定位时,先利用NLOS误差改正值对TOA观测值进行改正,然后采用附有约束条件的加权最小二乘法(CLW S)得到最终的定位结果。仿真结果表明,该方法可有效地削弱NLOS误差对定位精度的影响。