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国外多模复合寻的制导武器装备与干扰分析 总被引:1,自引:0,他引:1
现代战争中,多模复合寻的制导武器发挥着越来越重要的作用。介绍国外多模复合寻的制导武器装备的发展情况与干扰动向,指出发展多模复合寻的制导技术的优势和重要性,并对多模复合寻的制导武器的干扰方法进行了分析探讨。 相似文献
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为了研究大跨度斜拉桥超长拉索在不同流场特性下的高阶多模态涡激振动问题,以牛顿定律为基础,建立了考虑张力变化以及垂度效应的拉索结构振子方程,引入改进的Van Der Pol式尾流振子模型,以加速度耦合两非线性振子,提出了一种简便的拉索涡激振动流固耦合预报模型;采用二阶中心差分法,对两振子方程在空间域和时间域进行离散迭代求解,编制了拉索涡激振动的MATLAB计算程序,并验证了其可靠性。该方法为研究拉索涡激振动提供了一种新思路,可解决风洞试验和数值软件(CFD)不便模拟大长细比拉索结构的问题。基于提出的预报模型,以1根330 m超长拉索为研究对象,分析了拉索多模态涡激振动特性,探讨了不同流场特性对拉索涡激振动的影响。研究结果表明:均匀流作用下,拉索发生涡激锁定现象,以单一模态发生振动,随着风速的增加,拉索涡激锁定区间增大而最大振幅不发生改变;剪切流作用下,拉索发生多模态涡激振动,位移响应呈现"拍"的特点,振动频率分布在Strouhal涡脱频率范围内,存在2个或3个主导频率,主导频率全程参与振动,非主导频率间歇参与振动;拉索多模态涡激振动位移响应表现为行波-驻波并存的状态,随着风剖面指数的增加,涡激振动行波效应显著。 相似文献
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分析了铁路国际箱多式联运的进出口业务流程,提出了铁路建立国际箱多式,联运EDI系统的结构模式,描述了该系统的功能,以及建立该系统所采用的软硬件平台. 相似文献
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Handheld global positioning system (GPS) devices can serve as a new tool to collect an individual's trip information with advantages of low cost, accurate data, and intensive spatial coverage. Various machine learning algorithms have been explored to detected trip train information in previous studies; however, few of them focused on the evaluation and comparison of the performance and applicability of different models. Meanwhile, according to previous studies, car and bus mode detection is a thorny issue due to their similar travel characteristics, and algorithms still need to be well explored and improved to solve this problem. In this article, an innovative method is proposed to detect trip information, including trip modes, mode-changing time and location, and other attributes, from personal trajectory data. The method is a two-step process. A machine learning algorith-based module (including artificial neural network, support vector machine, random forests, and Bayesian network) is firstly used to identify walk, bicycle, and motorized trip modes (bus or car); we thoroughly compared the performance of these four algorithms. Then a second module, using critical points on the GPS trajectories, is further developed to distinguish car and bus mode, incorporated with GIS map information. Field test results show that the proposed machine learning models can all be applied for walk, bicycle, and motorized mode detection with high detection rates exceeding 90%; however, the algorithms work relatively poorly for bus and car mode detection, with results mostly below 75%. The proposed two-step method can greatly improve bus and car mode detection accuracy by 14–30%. As a result, the average mode detection rates for all the four modes are above 90%. Compared with mode detection results by using only the machine learning algorithm, the proposed two-step method has much better performance in both accuracy and consistency. 相似文献
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提出了一个可应用于动态交通分配中的多模式决定式点排队模型。模型中不同的交通模式(如小汽车、卡车和公交车等)由于车辆特性以及长度的差异在路网中将分别具有不同的行驶特性。为了能够反映不同模式车辆在路段上的相互作用,将单模式点排队模型扩展为多模式点排队模式。并对这个模型的相关特性进行了研究,如:反映不同模式车辆在路段上的速度收敛特性,在路段上每一模式车辆的先入先出特性(FIFO)以及路段上不同模式车辆的因果特性。 相似文献
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城市间公路客运的客票票价与其客流量之间的灵敏度分析 总被引:7,自引:2,他引:7
应用LOGIT分离模型得出城市间不同运输方式的客流量,在此基础上,提出了一个公路客流在不同公路客运服务方式之间的均衡配流模型,然后用灵敏度分析方法分析了票价国地于不同公路客运服务方式的客流量的影响关系,最后给出一个简单算例,以说明此方法在多模式运输条件下的应用,如何得出不同运输方式竞争条件下,公路客运的客票票价与其客流量之间的相互关系。 相似文献