基于无人机的高层住宅最后“一百米”配送优化

针对城市高层住宅顾客对上门配送服务的需求，借助无人机停放平台，考虑包裹异质性以及无人机在不同配送阶段的精确能耗，构建以无人机飞行成本和能耗成本最小为目标，以无人机容量、电池组容量等为约束的高层住宅无人机上门配送模型，解决“垂直位置最后一百米配送”问题。基于此模型，设计带变邻域下降(VND)搜索的混合蚁群算法(HACO-VND)，引入4个算子进行变邻域下降搜索，为了提高算法的求解性能，提出两种局部搜索算子组合，根据顾客点数量使用不同的算子组合。实验结果表明，HACO-VND算法较CPLEX在求解精度与求解时间方面更优，特别是在大中型算例中表现出较佳性能。参数分析表明，高层住宅楼层数越多，无人机单次 飞行的能耗利用率越大，无人机容量与电池组容量共同对配送方案产生影响。为以后无人机送货上门服务方面的研究提供参考和思路。     

铁路地理信息系统研究

铁路地理信息系统是一个利用计算机网络技术,采用分布式数据库系统建立的专业化管理与决策空间信息系统,支持管理和科技人员快速查询全国铁路资源及铁路沿线环境状况,实现政务办公、综合分析、战略决策、信息管理等方面自动化,以及防治铁路灾害决策科学化。本文从我国铁路地理信息系统的需求分析入手,探讨全国铁路地理信息系统的总体设计。     

自适应神经网络用于船舶动力定位系统

船舶动力定位（DP）采用一种控制系统驱动装在船上的侧推器和尾部推进器或者几个全回转的推进器，使船定位在海平面的要求位置上。船受到风、浪及流等海洋环境力的作用时会漂移离开原位置，传统的控制方法是采用PID（比例、积分、微分）反馈控制。顾和李（1994）提出了一种新的基于人工神经网络的控制方法，它具有许多优越性：①一个可随意调节的目标函数以适合不同的需求──定位精度高或节约定位能量后前馈控制并能自适应于不同的环境力变化包括非线性的波浪漂力；本文在目标函数中引入了与速度相关的项，从而提高控制质量。这一方法也可用于自动驾驶船舶沿设定的轨迹航行。计算机模拟结果表明本方法能达到很好的控制效果。     

尺度适应性二代小波的图像去噪方法

根据二代小波变换的基本理论和特点,研究二代小波对图像去噪的效果。提出基于二代小波的尺度适应性分解算法,并使用改进阈值函数进行阈值分析后再对噪声图像进行去噪处理。实验结果证明,使用尺度适应性二代小波对图像去噪比其他方法具有更好的效果,去噪后的图像信噪比大大提高。     

Driver requirements and road traffic informatics

Initially the driver's role as a link in the driver-vehicle-road-traffic control-chain is discussed in a historical perspective. The gradual changes and the advantages and problems arising from these changes are discussed from behavioural point of view.Then the driver tasks are analyzed. A separation is made between trip planning, navigation, road following, traffic interaction, rule compliance, other than traffic tasks, car handling and speed choice. The relations between and the weights of these subtasks are discussed. Some existing driver behaviour models are reviewed in relation to the above mentioned tasks.Finally an effort is made based on the analyses of driver tasks and driver models to specify some general and some more specific potential advantages and problems with expected future RTI-systems.     

基于黑板体系的CGF智能决策系统的构造

介绍了一种智能决策系统的结构设计，此设计以黑板体系为构架，通过内置的黑板结构、知识源结构及椎理控制策略为CGF提供一个简易、友好的智能决策系统。在决策推理决策中，由于不精确推理算法的使用，使得此智能决策系统决策快速而准确，满足了CGF智能决策的需求。     

Ground truthing sediment profile imagery with traditional benthic survey data along an established disturbance gradient

Macrobenthic surveys are an expensive, slow and labour intensive means to establish the health of benthic communities. Sediment profile imagery (SPI) is a means of rapid reconnaissance for monitoring large areas of the benthos. SPI has often been used to monitor gross anthropogenic disturbance. The aim of this study is to determine if SPI can be used as a tool to reliably map change in communities along natural estuarine gradients. Macrobenthic sampling was carried out at five stations along an established estuarine gradient. This faunal data was analysed using standard multivariate techniques and to ground truth a concurrent SPI survey. Faunal analysis showed that habitat quality in Inner Galway Bay was generally good, with some localised disturbance from the River Corrib and the sewage out flow exterior to the city dock. Four distinct groups were identified with a degree of overlap occurring between stations 3 and 4. While existing SPI indices mapped habitat quality in the same manner as the faunal data for end member stations, the level of distinction between the habitats of an intermediate staging was found to be poor. This lack of distinction amongst the stage 2 and 3 stations was overcome by developing a tailored index, the Galway Bay index of habitat quality (GBHQ). This index was derived from the 5 observed variables in the SPI data that were determined to best match the faunal distribution by permutative mantel testing. The 5 observed variables from the SPI data were the depth of the apparent redox potential discontinuity (aRPD), the depth of penetration by the prism, and the presence/absence of infauna, surface faecal pellet layer and biogenic mounding. The GBHQ was able to distinguish between the 5 stations to a greater extent than previously described indices, showing clearly the separate groupings defined by the faunal data. The index was tested on a follow up SPI survey and shown to be applicable in mapping a broader range of habitats in Galway Bay. Indices generated for localised mapping of estuarine gradients should be derived from observed features and be ground truthed using faunal data. Some aspects of the GBHQ should be generally applicable to fine grained boreal estuarine sediments (aRPD/penetration), while others may be of limited utility in other locations depending on the digging characteristics of the particular SPI camera, and local factors influencing the persistence of biogenic features in the profile. This derivation technique provides a simple way to optimise SPI to particular studies and localities.     

抗蛇行减振器横向安装位置对机车动力学性能的影响

基于机车车辆动力学理论,运用SIMPACK多体动力学仿真软件,以机车车辆动力学指标为依据,系统分析了抗蛇行减振器的横向安装位置对机车动力学性能的影响。仿真结果表明:增大抗蛇行减振器的横向安装跨距,可以显著提高机车的蛇行临界速度,不会对机车运行于曲线上的脱轨系数、轮重减载率、轮轴横向力3项指标产生明显影响。     

特殊位置接触网线岔弓网故障分析

分析了特殊位置接触网线岔发生弓网故障的原因,结合既有线特殊位置接触网线岔调整经验,提出了对策和建议,为防止类似事故的发生提供借鉴。     

刚构-连续梁桥船撞桥墩最不利位置及安全性评价

以湘府路湘江大桥(65+5×120+65)m刚构-连续梁桥为工程背景,采用2种方法研究了桥墩在纵横向船舶撞击力作用下的墩身弯矩随船舶撞击高度的变化规律,以确定船撞桥墩的最不利位置。方法一采用简化计算模型进行桥墩弯矩公式推导,方法二采用Midas Civil建立空间有限元仿真全桥模型进行墩身弯矩计算。计算结果表明:有限元仿真全桥模型计算得出的墩身弯矩与简化计算模型推导出的结论是一致的,在船撞力作用下整个桥墩中墩底弯矩最大,且墩底弯矩随着船撞力作用点的升高而增大;简化计算模型中采用了若干简化处理,在进行桥梁船撞安全性评价时宜采用有限元仿真全桥模型计算。本文结果对桥墩设计与船撞安全评价具有一定的指导意义,并在此基础上对此刚构—连续梁桥船撞桥墩安全性进行了评价。