基于点集配准的非接触式地铁限界检测系统标定方法研究

地铁限界是保证地铁车辆安全运行的重要数据,目前使用较多的接触式地铁限界检测存在效率低、无法准确获知超限尺寸的缺点,本文基于激光扫描测距原理开发了一种断面检测密度高、误差小的非接触式地铁限界检测系统。针对非接触式检测系统标定困难影响测量精度的问题,提出了应用机器视觉领域的点集配准迭代最近点(Iterative Closest Point)算法进行系统标定,将2个180°二维激光扫描传感器采集到的数据点拼接成一个完整的基于轨道基准坐标系的测量断面。北京地铁8号线、15号线的现场实验证明,经过该方法标定的限界检测系统可准确获知超限位置和超限尺寸,推行速度为6km/h时采样断面间距密度为0.02m,多次反复测量时系统精度可达±4mm。     

双套LKJ数据同屏对比显示装置的开发研制

LKJ数据的准确性是决定列车安全运行的基本保障,与之相应的数据检验也成为一个重要的项目;本系统采用了集成化设计,将两套便携式LKJ2000型调试装置及工业控制计算机集成在一起,在能够完成监控装置模拟的基础上,内置了工业控制计算机使之集成工作;可以在本系统上对新旧两套监控记录装置的数据进行同步运行和对比,能快速发现监控地面数据修改时的错误,对修改后的地面数据进行验证。     

模糊决策的不动点定理

在求解模糊决策问题中,当φ(α)为连续函数时,φ(α)的不动点问题已经解决,文中讨论一般条件(φ(α)可以不连续)下,φ(α)的不动点问题,给出了φ(α)有不动点的充分必要条件;研究当M~,C~都为r-型模糊集时φ(α)的不动点的存在性问题,并证明了不动点的存在定理.     

Research on the fully fuzzy time-cost trade-off based on genetic algorithms

It is very difficult to estimate exact values of time and cost of an activity in project scheduling process because many uncertain factors, such as weather, productivity level, human factors etc. , dynamically affect them during project implementation process. A GAs-based fully fuzzy optimal time-cost trade-off model is presented based on fuzzy sets and genetic algorithms （GAs）. In tihs model all parameters and variables are characteristics by fuzzy numbers. And then GAs is adopted to search for the optimal solution to this model. The method solves the time-cost trade-off problems under an uncertain environment and is proved practicable through a giving example in ship building scheduling.     

城市停车场规划调查方法探讨

为城市停车场规划进行的停车场调查是一项庞大复杂的系统性工作。该文分别从现状停车泊位数、现状停车场内的停车特征和与停车有关的社会经济指标三个方面探讨停车场的调查方法。     

基于蚁群算法的动车组周转计划研究

通过对高速铁路动车组运用现状进行分析,建立了高速铁路动车组在不固定区段使用条件下周转优化的指派模型,并提出了解决该组合优化问题的蚁群算法,以及动车组使用数量的公式.最后以武广客专为算例,计算出动车组优化运用方案,并铺画了一个车站相关的动车组周转图.通过验证,本文模型和算法具有可行性.     

A Distributed Virtual Backbone Formation for Wireless Ad Hoc and Sensor Networks

The virtual backbone is an approach for solving routing problems in wireless ad hoc and sensor networks. A connected dominating set (CDS) was proposed as a virtual backbone to improve the performance of wireless networks. The quality of a virtual backbone is measured not only by approximation factor, which is the ratio of its size to that of minimum CDS, but also time complexity and message complexity. In this paper, a distributed algorithm is presented to construct a minimum CDS for ad hoc and sensor networks. By destroying triangular loops in the virtual backbone, the proposed algorithm can effectively construct a CDS with smaller size. Moreover, our algorithm, which is fully localized, has a constant approximation ratio, linear message and time complexity, and low implementation complexity. The simulation results and theoretical analysis show that our algorithm has better efficiency and performance than conventional approaches.     

一种新的区间值模糊集推理方法

在两向量相似度的基础上,定义了两个区间值模糊集在一点处相似度,然后在此基础上提出了一种新的模糊推理方法——区间值模糊集相似度推理方法.并且对该种方法的还原性进行了讨论,给出了满足还原算法的条件.