TRIP DISTRIBUTION MODELLING USING FUZZY LOGIC AND A GENETIC ALGORITHM

This article examines possibilities for the application of soft computing techniques for the prediction of travel demand. The model, based on fuzzy logic and a genetic algorithm, successfully solves the trip distribution problem. The possibilities of using the proposed model in solving trip generation, modal split and route choice problems have also been indicated. The model has been tested on a real numerical example. Exceptionally good correspondences between estimated and real values of passenger flows have been obtained.     

Coastal erosion and sea level rise: Implications for ocean beach and San Francisco's westside transport project

Abstract

One of the consequences of sea level rise resulting from the greenhouse effect is increased coastal erosion. This article discusses a model of erosion that can be used to estimate the response of beaches to sea level rise. The model is applied to Ocean Beach, California, with particular attention to the consequences of accelerated erosion for the San Francisco Westside Sewer Transport. Results obtained show that erosion produced by accelerated sea level rise could cause substantial damage to the structure. Large expenditures on beach nourishment will be required to protect the transport and the recreational value of the beach.     

Operating cost based cruise speed reduction for ground delay programs: Effect of scope length

Ground delay programs typically involve the delaying of aircraft that are departing from origin airports within some set distance of a capacity constrained destination airport. Long haul flights are not delayed in this way. A trade-off exists when fixing the distance parameter: increasing the ‘scope’ distributes delay among more aircraft and may reduce airborne holding delay but could also result in unnecessary delay in the (frequently observed) case of early program cancellation. In order to overcome part of this drawback, a fuel based cruise speed reduction strategy aimed at realizing airborne delay, was suggested by the authors in previous publications. By flying slower, at a specific speed, aircraft that are airborne can recover part of their initially assigned delay without incurring extra fuel consumption if the ground delay program is canceled before planned. In this paper, the effect of the scope of the program is assessed when applying this strategy. A case study is presented by analyzing all the ground delay programs that took place at San Francisco, Newark Liberty and Chicago O’Hare International airports during one year. Results show that by the introduction of this technique it is possible to define larger scopes, partially reducing the amount of unrecovered delay.     

基于KFS分布式文件系统元数据模型的改进

研究了云计算环境下的分布式文件系统KFS的系统架构,对于海量数据存储的云存储系统来说元数据管理效率是关键,通过分析KFS文件系统的元数据模型,提出了基于KFS分布式文件系统元数据的改进模型,即利用内存缓冲策略,对待插入的元数据进行预处理并批量插入,减少查找和分裂次数,大大提高了KFS文件系统的数据访问效率.最后通过算法复杂度的分析,证明该改进算法能有效提高分布式文件系统KFS的元数据服务器的效率.同时该改进模型对于采用B^＋树索引机制来集中管理元数据的类似系统同样适用.     

基于JTG D62-2004的裂缝计算软件开发

介绍了采用VB编制的裂缝计算软件,弥补了大型有限元计算程序的不足,紧密联系规范,界面友好,能适用多种计算工况.     

AJAX技术在Struts验证框架中的应用研究

Ajax是当前流行的一种适用于Web应用开发中的技术，它可以实现无需刷新整个页面，就可以动态更新页面中一部分的内容本文。在介绍Ajax技术和Struts验证框架的基础上，提出了将Ajax技术运用于Struts验证框架中进行数据验证的方法。Struts验证框架通过加入Ajax技术，使得Web应用程序的运行效果更接近于桌面应用程序。     

柴油机管理系统开发与设计方法的研究

根据国内外柴油机电控技术开发与设计的经验，阐述了开发与设计柴油机管理系统所采用的最新技术与方法。通过新技术与新方法的运用，提高整个系统功能控制和以数管理的性能，最终达到改善柴油机经济性，动力性及排放等的目的。     

湿式离合器出油口甩出油温度预测方法

为了实现对湿式离合器出油口甩出油温度传感器的冗余校验和自我诊断，提出了一种基于粒计算约简的离合器出油口甩出油温度的模糊预测方法。首先分析出油口甩出油温度的影响因素，将主要影响因素作为预测输入量，并采用模糊推理理论预测当前离合器出油口甩出油温度。在设计模糊预测方法的过程中，通过分析实车数据得到车辆行驶时离合器处于高滑摩功率过程和低滑摩功率过程的不同特性，分别确定相对应的隶属度函数和模糊预测规则，从而进一步提高出油口甩出油温的预测精度。为了提高模糊预测算法的实时性，基于模糊预测规则创建模糊决策表，模糊输入量和模糊输出量分别作为决策表的条件属性集与决策属性集。利用粒计算理论对模糊决策表的条件属性集进行属性约简，通过削减冗余信息有效降低模糊输入量和模糊预测规则的个数。最后利用实车采集的数据对比分析约简前后模糊预测算法的单步运行时间和预测误差等性能指标。试验结果表明：基于粒计算约简的模糊预测算法能够有效保障预测精度，同时拥有更少的模糊预测规则数和模糊输入量，有效解决了模糊预测算法占用资源较多以及实用性较差的问题。     

喷油泵装配线中拧紧技术的研究及应用

本论文介绍了拧紧技术的原理和方法,以及拧紧技术在喷油泵装配线中的应用.最后说明了拧紧程序在喷油泵装配线中的程序防错方法.     

Parallel computing with domain decomposition for the vehicle crashworthiness simulation

The research presented in the paper deals with explicit nonlinear finite element calculation with domain decomposition for vehicle crashworthiness simulation. This is very important for vehicle design. Parallel computing is an efficient solution method to speedup and enhance the solving ability of large-scale numerical simulation. In this paper, a cost-effective domain decomposition method based on contact balance is presented, and the algorithm flowchart including contact computing is provided, and the parallel computing process and communication overhead are analyzed. Furthermore, scalability of the parallel computing method on different hardware platforms, the SGI Onyx 3800 and the ShenWei cluster, is studied. Finally, the effect of different domain decomposition strategy on vehicle crashworthiness simulation computing efficiency is presented. To end users, the research results should provide a reference for vehicle design and choosing appropriate hardware platform and computing software.