车用汽油机射流燃烧系统的研究进展

汽油机射流燃烧系统已有多年的研究开发和实践，经过反复考验，其优越性得到证实。本文从射流室的特殊结构特点出发，利用多通道光纤高速摄影照片和示功图分析并结合紊流燃烧理论，对射流燃烧过程的燃烧特性进行的研究，论证了其诸多方面的优越性。还介绍了目前的研究进展。     

汽车雷达多目标跟踪的模糊数据关联

介绍了一种量测(新测目标)到目标(已知目标)之间的模糊数据关联方法，将模糊聚类均值方法和决策逻辑方法相结合，利用Mahalanobis距离代替聚类运算中的欧氏距离，使量测与目标预测值之间的相似性度量更准确，应用决策逻辑确定量测与目标预测值的关联关系。仿真表明这种方法简单，在杂波环境下，有较高的跟踪精度，这种方法可以用于道路条件下，基于汽车雷达的多目标的可靠跟踪。     

多体船技术开发

回顾并分析近年来国内外多体船技术开发的概况,首先介绍多体船开发的背景,然后以图表、数据展示澳大利亚、英国、中国、日本等国对超细长双体船研究开发的实例,最后简述国内外对三体船以及五体开发的情况。     

船舶核动力装置运行管理专家系统

本文通过对船舶核动力装置二回路凝给水系统运行规则的理解与分析，对运行经验、实行实例的搜集、整理，建立起了多元分层知识体系结构，根据不同知识的特点建立多种知识表示方式，采用多路推理机制，使系统很好地克服了传统专家系统所面临的某些不足，在一定程度上实现子模拟人类思维方式进行决策和解决问题，从而达到故障及时诊断和系统运行管理的目的。     

海洋平台设计选型的多级模糊优化及非结构性模糊决策分析

针对海洋平台开发设计中经常遇到的复杂的方案优化选型问题，提出了将多因素，多级非结构性模糊优选理论引入到平台的设计选型中，根据影响平台选型的线构性因素，采用三级模糊优选，综合考虑了影响平台选型的各种优选目标，针对影响平台选型优化的因素非常复杂，确定隶属函数主观因素较强的情况，引入非结构性模糊决策法以确定其录属度和权重。通过此模糊优选模型，进行了一平台的设计选型优化，得到了比较理想的优选结果，证明了此模型在为海洋平台方案的设计选型的实用性。     

综合船舶监控系统设计

综合应用电子海图技术、CAN总线技术、计算机网络技术、Windows编程技术及控制工程的最新理论成果实现了综合船舶监控系统，具有船舶自动控制、信息综合显示、处理及报警功能。通过CAN总线和485串行通讯技术接收船舶机舱各检测点及各种航海仪器数据；将各种数据处理后送到服务器的数据库中，然后送到综合船舶信息显示及处理系统进行数据显示、处理及报警等；电子海图系统接收雷达及GPS定位信息，进行船位的图形显示及海况信息显示，同时将导航信息送到船舶自动舵，进行航迹或航向控制。     

高职高专旅游管理专业多语教学研究

随着旅游业的发展,越来越需要高素质的旅游服务人才。为培养符合企业用人标准的高职高专毕业生,学校旅游管理专业的学生在学习英语的基础上,开设了二外——日语课程,探索"专业+1+1—"的人才培养模式。实践证明学生能够掌握第二外语,并能在就业后的岗位上实际应用,从而提高了就业竞争力。多语教学为高职高专学生的就业提供了更加广阔的平台。     

工程车辆非线性橡胶悬架动力学建模与优化

以AD250铰接式自卸车的非线性变刚度橡胶悬架为研究对象,应用模态综合法和多柔体系统动力学理论,并通过整车试验建立了整车刚柔耦合动力学模型。以行驶平顺性和操纵稳定性为优化目标,采用序列二次规划法,对不同载荷、不同等级路面和不同车速下的悬架特性参数进行优化,得到了不同工况下的最优悬架特性参数。通过最小二乘法拟合得到了橡胶悬架刚度参数的理想非线性特性曲线。仿真结果表明,优化后的橡胶悬架系统能使车辆保持良好的行驶平顺性。     

The multi‐actor,multi‐criteria analysis methodology (MAMCA) for the evaluation of transport projects: Theory and practice

In this paper the multi‐actor multi‐criteria analysis (MAMCA) method to evaluate transport projects is presented. This evaluation method specifically focuses on the inclusion of qualitative as well as quantitative criteria with their relative importance, defined by the multiple stakeholders, into one comprehensive evaluation process in order to facilitate the decision making process by the different stakeholders. The MAMCA methodology is introduced by an overview of other evaluation methods for transport projects in the past and is illustrated by means of two practical cases. The introduction will lead us to the theoretical conception of the MAMCA method where we draw the attention to the proven usefulness of the MAMCA for the evaluation of transport projects and the inclusion of different kinds of stakeholders, individuals as well as groups, into the evaluation process.     

Examining transport futures with scenario analysis and MCA

Climate change is a global problem and across the world the transport sector is finding it difficult to break projected increases in carbon dioxide (CO₂) emissions; there are very few contexts where deep reductions in transport CO₂ emissions are being made. A number of research studies are now examining the potential for future lower CO₂ emissions in the transport sector. This paper develops this work to consider some of the wider sustainability impacts (economic, social and local environmental) as well as the lower CO₂ transport impacts of different policy trajectories. Hence the central argument made is for an integrated approach to transport policy making over the longer term - incorporating scenario analysis and multi-criteria assessment (MCA) - to help assess likely progress against a range of objectives.The analysis is based on work carried out in Oxfordshire, UK. Different packages of measures are selected and two scenarios developed which satisfy lower CO₂ aspirations, one of which also provides wider positive sustainability impacts. A simulation model has been produced to help explore the strategic policy choices and tensions evident for decision-makers involved in local transport planning. The paper argues for a ‘strategic conversation’ (Van der Heijden, 1996) at the sub-regional and city level, based upon future scenario analysis and MCA, discussing the priorities for intervention. Such an approach will help us examine the scale of change and trade-offs required in moving towards sustainable transport futures.