中国铁路提速后技术进步对产出贡献的测算

选取我国铁路提速后1997~2007年间的相关数据,采用基于科布——道格拉斯生产函数的Solow余值法,将有限分布滞后模型和半参数回归模型引入计算模型,对数据进行拟合,计算得到铁路提速后技术进步、固定资本投入以及人力资本投入对产出的贡献率,并根据计算结果提出促进我国高速铁路建设的相关对策建议.     

模糊广义系统的静态输出反馈控制

分析模糊广义系统的稳定性,利用模糊Lyapunov泛函方法,给出了一类T-S模糊广义系统的容许性条件,并利用静态输出反馈对该系统进行控制,通过求解严格的线性矩阵不等式,得到模糊广义系统可以通过输出反馈控制的充分条件,并保证闭环系统的容许性和满足一定的性能指标．通过数值仿真验证了结论的正确性以及分析方法的有效性．     

基于DSP的列车走行部故障仿真测试仪设计

本文提出一种基于DSP实现列车走行部故障仿真测试仪的设计原理和方法,介绍故障仿真测试仪的硬件电路和软件流程,以及实验结果.该故障仿真测试仪器使用16通道的数模转换芯片,弥补了市场上通用的函数信号发生器输出通道少、模式固定的缺陷.每个通道同步输出的实时性与扩展性良好,具有频率和幅度可方便调节等优点.     

Non-fragile multi-objective static output feedback control of vehicle active suspension with time-delay

This paper presents an approach to design a delay-dependent non-fragile H_∞/L₂–L_∞ static output feedback (SOF) controller for active suspension with input time-delay. The control problem of quarter-car active suspension with actuator time-delay is formulated to a H_∞/L₂–L_∞ control problem. By employing a delay-dependent Lyapunov function, new existence conditions of delay-dependent non-fragile SOF H_∞ controller and L₂–L_∞ controller are derived, respectively, in terms of the feasibility of bilinear matrix inequalities (BMIs). Then, a procedure based on linear matrix inequality optimisation and a hybrid algorithm of the particle swarm optimisation and differential evolution is used to solve an optimisation problem with BMI constraints. Design and simulation results of non-fragile H_∞/L₂–L_∞ controller for active suspension show that the designed controller not only can achieve the optimal performance and stability of the closed-loop system in spite of the existence of the actuator time-delay, but also has significantly improved the non-fragility characteristics over controller perturbations.     

通用数字信号处理平台的实现

简述了PCI20012卡设备驱动程序的工作过程,介绍了基于开发软件包实现高速数据采集和模拟信号输出的程序编制方法,最后,给出了在Windows平台下使用多线程技术的通用信号处理系统实例,并给出了C＋＋源代码。     

旅游用全垫升气垫船动力系统设计

气垫船动力系统增加了为气垫供气用的垫升风机，同时采用空气螺旋桨推进，整个动力系统设计复杂。介绍了旅游用全垫升气垫船动力装置设置、推进垫升系统布置及动力系统的设计特点，部分设计创新可为未来的气垫船设计积累一定的经验。     

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.     

可移动式汽车发动机功率测量仪设计

汽车发动机功率检测设备结构复杂,操作繁琐,在一般的维修厂很难推广使用.针对这一问题,研制了一种操作简单,成本低的可移动式汽车发动机功率测量仪.采用点火脉冲电流来测量发动机的转速,通过测量驱动轮制动力获得转矩,进而计算发动机输出功率.实验结果表明,该测量仪结构设计合理,能方便地测量发动机功率,误差满足测量精度要求.     

乔列斯基分解应用于偏相干问题的可行性研究

在应用传统的偏相干方法进行噪声源识别时,计算条件输入和耦合较为繁琐、复杂。文章首先通过对偏相干和乔列斯基分解的分析,得到两者之间的关系;进一步运用数学归纳法,从理论上证明了乔列斯基分解应用于偏相干问题的可行性;然后指出对归一化互谱矩阵进行乔列斯基分解,可直接得到各源的贡献比大小;最后给出了应用乔列斯基分解解决偏相干问题的一般步骤。舱段试验验证了该方法的可行性和实时性。     

基于SPD 5.0的舾装快速出图系统开发及应用

为解决船舶产品设计(Ship Product Design, SPD)软件在舾装件制作图出图及物料清单(Bill of Material, BOM)输出方面经常需要设计师大量手动干预、设计效率低下的问题,开发舾装快速出图系统。基于SPD二次开发接口,实现舾装标准件数量和材料的快速抽取,1∶1制作图的批量生成,材料明细表和部件列表的自由增删改,图名、图号和页码的自动批处理,各类BOM数据定制化表格的自动输出等功能。该系统成功应用于实船舾装设计,大幅提升舾装件制作图和BOM表的绘制效率,为后续舾装件的自动化和智能化生产提供数据支撑。