弱机动目标的参数估计

本文探讨了卡尔曼滤波用于估计弱机动目标状态参数问题。在极坐标系下建立目标机动的相关加速度模型,通过对运动目标斜距二阶变化率和方位角加速度的定量分析,建立了自适应估计目标动态模型噪声强度的弱机动目标参数估计算法。对几种典型航路的模拟证实了在选择适当参数时该算法对目标机动,不同类型的机动间的转换,不仅能较好地压制随机量测噪声,而且能满意地估计目标的速度和航向。     

军机驾驶员通讯用语语音信号及其清晰度影响因素分析

建立了军机驾驶员通讯用语词汇库及与故障相关的通讯用语词汇库,并对其中的主要词汇进行了汉语语音语谱分析。对影响军机驾驶员语音清晰度(可懂度)的有关因素——喉头送话器、座舱噪声、塔台录音进行了较详细的分析,得出主要影响因素为喉头送话器和座舱噪声,指出应改进送话器的方向且不能采用常规的固定参数滤波器来滤除座舱噪声。     

提高理工科学生听力水平的探讨

本文紧紧围绕目前理工科学生实际听力水平状况,详细分析了影响理工科学生听力水平提高的两大制约因素,即语言因素和心理因素;讨论了语言教师针对这两大因素如何加强听力教学;最后根据全国四、六级英语统考题型,提出了听力测试中的有关技巧。     

机构可靠性

本文讨论了机构可靠性问题,指出机构可靠性主要取决于运动副的约束条件的稳定性.其中,包括运动约束条件和几何形状约束条件的稳定性,这就使机构可靠性研究的着眼点更为明确.     

机载超宽带SAR运动误差建模与分析

机载超宽带合成孔径雷达(UWB SAR)具有大积累角和长合成孔径的特点,这使得这类SAR系统的运动误差变得非常复杂.建立了机载UWB SAR运动误差模型,并基于该模型推导了存在运动误差情况下的回波信号频谱.分析了运动误差影响SAR成像处理的根本原因,以及不同特性运动误差对SAR图像所产生的不同影响.仿真实验结果证明了文...     

Cyclic scheduling in robotic flowshops with bounded work‐in‐process levels

This study addresses cyclic scheduling in robotic flowshops with bounded work‐in‐process (WIP) levels. The objective is to minimize the cycle time or, equivalently, to maximize the throughput, under the condition that the WIP level is bounded from above by a given integer number. We present several strongly polynomial algorithms for the 2‐cyclic robotic flowshop scheduling problems for various WIP levels. © 2010 Wiley Periodicals, Inc. Naval Research Logistics 58: 1–16, 2011     

基于混合编码曝光的匀加速运动模糊图像复原方法

针对运动模糊图像复原问题中点扩展函数难以准确获得和图像反卷积的病态性,提出了一种基于混合编码曝光相机的运动模糊复原框架.混合编码曝光相机由一个高速双目立体相机和一个高分辨率编码曝光相机构成.编码曝光相机在其曝光过程中由一个二进制编码控制其快门的开关状态.双目立体摄像机作为一个运动传感器在编码相机曝光的开始、中间和结束时...     

EMS型低速磁浮列车U型电磁铁设计方法研究

针对EMS型低速磁浮列车的U型电磁铁,研究其气隙磁密及结构参数的设计方法.气隙磁密应选为铁芯材料的磁导率下降到其最大值的90％时所对应的磁密.结构参数包括极长、极高、窗宽、窗高和轭厚,极长影响牵引效率及过弯能力,极宽影响承载能力和导向刚度,窗宽和窗高影响重量,但随轨宽而定,轭厚按磁轭与磁极的磁密相等的原则来选取.     

模拟海深条件下提升阀流动特性的实验研究

水压传动技术应用于深海环境可以直接从海洋中吸水加压,高压水作功之后可以直接排入海洋,不需要水箱和回水管道,大大简化了系统,具有独特的优势。然而,在深海作业时,液压元件的工况同陆地相比有较大的差异,海深压力相当于在元件出口加了一个背压。文中用背压来模拟海水压力,对以水作介质时背压对提升阀口流量特性的影响进行了实验研究。研究结果表明,背压使得流量饱和更容易发生;有背压时的流量系数比没有背压时的流量系数大;当阀芯和阀座有叠合时,背压对阀口流量特性的影响比阀芯和阀座没有叠合时的影响大。     

Capacity allocation to sales agents in a decentralized logistics network

Many logistics systems operate in a decentralized way, while most optimization models assume a centralized planner. One example of a decentralized system is in some sea cargo companies: sales agents, who share ship capacity on a network, independently accept cargo from their location and contribute to the revenue of the system. The central headquarters does not directly control the agents' decisions but can influence them through system design and incentives. In this paper, we model the firm's problem to determine the best capacity allocation to the agents such that system revenue is maximized. In the special case of a single‐route, we formulate the problem as a mixed integer program incorporating the optimal agent behavior. For the NP‐hard multiple‐route case, we propose several heuristics for the problem. Computational experiments show that the decentralized system generally performs worse when network capacity is tight and that the heuristics perform reasonably well. We show that the decentralized system may perform arbitrarily worse than the centralized system when the number of locations goes to infinity, although the choice of sales incentive impacts the performance. We develop an upper bound for the decentralized system, where the bound gives insight on the performance of the heuristics in large systems. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007