大跨连拱拱桥动力特性及地震反应分析

结合一座大跨连拱拱桥工程设计实例,采用sap2000程序建立了该桥空间有限元计算模型,分析了该桥的动力特性特点,采用反应谱法和时程分析法对该桥进行了地震反应分析。结果表明：由于各拱拱上立柱高度相差太大,使得各个立柱分担的上部结构的地震惯性力非常不均衡,拱顶附近的立柱由于高度较低、刚度较大,使得其承受较多的上部结构的地震惯性力,成为整个结构的抗震薄弱部位之一。     

GPS和Galileo软件接收机理论仿真与比较

日前，GPS全球定位系统在全世界得到了广泛的应用，其用户端设备-GPS接收机的技术水平随之迅猛发展。软件无线电技术使GPS接收机更加灵活：通过Matlab平台，仿真GPS软件接收机前端下变频，滤波与抽样；产生数字中频信号，实现捕获跟踪算法；并与Galileo信号进行了对比分析。验证了算法的可行性。     

无线传感器网络的军事应用研究

从军事应用的角度比较了无线传感器网络与其它无线网络尤其是Ad Hoc网络的区别，分析了无线传感器网络的军事应用和研究现状，探讨了可能的军事应用场景，展望了无线传感器网络对未来战争的影响。     

中国造船亟需预警机制

国防科工委称,到2015年将达2400万载重吨,占世界市场份额的35%,在吨位方面则达到“世界第一”。随后,中国地方政府借势壮大地方造船业,规划纷纷出台。如果各地的规划完全实现,共有5000多万吨,比全世界的总和还要多。 但是,中国的大投入,却没有换来高收益。据统计,2004年第一季度,全国规模以上605家船舶工业企业完成工业总产值192亿元,全行业盈亏相抵后实现的利润总额只有862万元。船舶工业企业中亏损企业达205家,亏损面达到34%。这反映出了中国造船业缺乏预警机制。面对全球高涨的造船热,中国在统筹、风险、市场方面缺乏应对措施,致使造船业陷入“赔本赚吆喝”的泥淖。这种境况如不尽快扭转,中国造船将被盲目所控制,后果不堪设想。     

大型油船（VLCC）系离海上单点（SPM）操纵的体会

操纵大型油船系离海上单点在中国引航史上还处于起步阶段，作者就首次参与大型油船系离海上单点浮筒的实践，总结了如何确保操纵安全的经验。     

城市轨道交通客运服务标准编制研究

城市轨道交通客运服务标准应主要针对乘客的需求而制定,是当前需要优先制定的服务业标准之一。通过对城市轨道交通客运服务及特性进行分析,结合国际相关服务标准以及我国现行的服务标准及标准化模式,提出了“以人为本”、系统性和与国际接轨的标准编制原则。乘客乘车是一个按时间顺序的活动过程,沿乘客乘车时间次序展开服务次序,是标准编制的重要技术方法。确定城市轨道交通客运服务内容是城市轨道交通客运服务标准编制的一项主要任务。在借鉴国外先进服务标准理念的基础上,通过轨道交通客运服务质量和从乘客实际需求出发来规范服务内容。最后,对乘客相应权益的规定做了说明。     

基于小波变换的机械振动故障诊断系统的研究

小波变换具有良好的时频局部性质.论文介绍了小波变换的基本理论,阐述了小波变换用于机械振动信号的奇异性检测以发现机械故障的原理.根据对振动信号小波变换的系数模极值点来定位奇异信号,检测机械故障.给出了系统实现的硬件框图和软件流程.试验表明,系统可以发现故障机械振动信号带有的奇异性,实现旋转机械的故障诊断.     

THE EXPERIMENTAL STUDY ON THE CELL APOPTOSIS AND EXPRESSION OF BCL-2 PROTEIN IN INTRACEREBRAL HEMORRHAGE IN MODEL OF RATS

Intra-cerebral hemorrhage is a common clinicaldisease,with a high mortality and morbidity.So itis one of the clinical hot topics.It has been foundinrecent years that there is a close relationship bet weenthe cell apoptosis and the course or prognosis of in-tra-cerebral hemorrhage.Bcl-2,as the apoptosis-adjusted gene,plays ani mportant role in the courseof cell apoptosis,but the mechanis min the cell ap-optosis in intra-cerebral hemorrhage remains un-clear.In this experi ment,with the model bui…     

Bayesian network for red-light-running prediction at signalized intersections

Abstract

Red-light-running (RLR) is an important reason for the large number of intersection-related fatalities, injuries, and other losses. The accurate RLR prediction can effectively reduce crashes caused by RLR behavior. The RLR prediction is usually composed of two parts: the vehicle’s stop-or-go behavior and the arrival time when the vehicle reaches the stop line. Previous stop-or-go prediction models are usually based on embedded traffic sensors using machine learning algorithms. While based on the continuous trajectories collected by radar sensors, RLR prediction can be conducted more effectively. In this paper, a probabilistic stop-or-go prediction model based on the Bayesian network (BN) is proposed for RLR prediction. We extend the deterministic output into the probabilistic output, which provides decision-makers with greater autonomy. The causality of BN improves the interpretability of the prediction model. The BN model is calibrated and tested by the continuous trajectories data measured by radar sensors installed at a signalized intersection. We not only consider the movement measurements of individual vehicles (e.g., speed and acceleration), but also take into account the car-following behavior. As a comparison, different machine learning models and the model based on the inductive loop detection (ILD) are adopted. The results show that the proposed BN model has a high prediction accuracy and performs better in the feature interpretation. This paper provides a new way for probabilistic RLR prediction based on continuous trajectories, which will significantly improve traffic safety of signalized intersections.     

轻型车燃用生物柴油瞬态工况排放特性的研究

通过对轻型车燃用生物柴油和0#柴油尾气排放的测量和分析,研究瞬态工况有害排放物模态特性。试验结果表明,与0#柴油相比,轻型车燃用生物柴油可显著改善冷启动过程的HC和CO排放,其HC、CO和PM比排放分别降低76．9％、45．7％和52．8％,但NOx比排放增加5．8％。燃料在燃烧转变为CO2和H2O释放出化学能的同时也将空气中的N2氧化成NOx,因而可用NOx／CO2来描述NOx排放随运行工况的变化规律。