实训场所"一校两制"建设管理模式利弊谈

实训场所建设与管理的好坏直接关系到专业建设与改革的成败。为了配合新形势下的专业建设,探索最佳的实训场所建设与管理模式是非常必要的。为此广东交通职业技术学院实训场所实行了“一校两制”的管理模式。文中分析了“一校两制”的管理模式的利弊及对应措施。     

粉煤灰代替矿粉拌制沥青混合料的试验研究

粉煤灰作填料拌制沥青混合料,采用大马歇尔试验方法进行室内试验.结果表明:粉煤灰代替矿粉作填料的沥青混合料各项技术指标均能满足规范要求.因此,从合理利用资源、保护环境的角度出发,将粉煤灰应用到沥青混合料中具有一定经济效益和社会效益.     

基于矩阵分析的公共交通网络最优路径算法

为了更符合实际情况，即充分考虑换乘次数是乘客选择公共交通网络的决定因素，运行时问是其重要因素，分析了乘客心理特征，用CIS技术建立了公共交通网络模型，构建了适合公共交通分析的直达矩阵和最小换乘矩阵．在此基础上，结合路段、节点运行时间，提出了公共交通网络最优路径算法，并用一个简单的算例对算法进行了说明．     

基于Logit模型的城市轨道交通接驳方式预测研究

为提高轨道交通与其他交通的换乘效率,本文考虑轨道交通出行者的个人属性、家庭社会经济因素、出行属性等建立基于Logit模型的城市轨道交通接驳选择预测模型。借助spss软件对模型参数进行拟合和检验,研究结果表明出行者的家庭收入、接驳距离、接驳费用等因素对接驳轨道交通均有影响。模型的精度高达81%,接驳选择预测模型能够很好地应用于对轨道交通接驳方式的预测。     

A Target-Orientated Marker Image Binarization Method for Orthopaedic Surgical Navigation System

Camera calibration is the key technique in a C-arm based orthopaedic surgical navigation system. The extraction of marker location information is a necessary step in the calibration process. Ideal marker images should possess uniform background and contain marker shadow only, but in fact marker images always possess nonuniform background and are contaminated by noise and unwanted anatomic information, making the extraction very difficult. A target-orientated marker shadow extraction method was proposed. With this method a proper threshold for marker image binarization can be determined.     

New Maintenance Strategies for Generating Companies in Power Market

A new approach to maintenance scheduling of generating units(MSU)in competitive electricity markets was presented,which was formulated as a noncooperative game with complete information.The payoff of each generating company(Genco)was defined as the profit from the energy auction market minus maintenance cost and risk loss.The compensation fee of interruptible load was a part of the maintenance cost when the permitted maintenance capacity in the system was insufficient.Hourly energy auction was incorporated in the computation of both revenues from energy market and risk loss of maintenance strategy as a nested game.A new heuristic search algorithm for the calculation of the game equilibrium of MSU was presented,which coordinates the solutions of non-equilibrium,unique equilibrium and multiple equilibria.Numerical results for a two-Genco system and a realistic system were used to demonstrate the basic ideas and the applicability of the proposed method,as well as its computational efficiency.     

Nonlinear Statistical Process Monitoring Based on Control Charts with Memory Effect and Kernel Independent Component Analysis

A novel nonlinear combination process monitoring method was proposed based on techniques with memory effect (multivariate exponentially weighted moving average (MEWMA)) and kernel independent component analysis (KICA). The method was developed for dealing with nonlinear issues and detecting small or moderate drifts in one or more process variables with autocorrelation. MEWMA charts use additional information from the past history of the process for keeping the memory effect of the process behavior trend. KICA is a recently developed statistical technique for revealing hidden, nonlinear statistically independent factors that underlie sets of measurements and it is a two-phase algorithm: whitened kernel principal component analysis (KPCA) plus independent component analysis (ICA). The application to the fluid catalytic cracking unit (FCCU) simulated process indicates that the proposed combined method based on MEWMA and KICA can effectively capture the nonlinear relationship and detect small drifts in process variables. Its performance significantly outperforms monitoring method based on ICA, MEWMA-ICA and KICA, especially for long-term performance deterioration.     

虹桥综合客运枢纽车道边规模论证与仿真评价

采用理论计算与软件仿真相结合的方式．依托对现有虹桥机场与浦东机场车道边上落客特征调查数据分析．对规划中的虹桥枢纽车道边的适用规模进行建模论证．并通过仿真软件对不同车道边形式的集散效果进行评价，可为虹桥综合客运枢纽的规划设计提供理论和技术支撑。     

基于GIS的道路交通信息系统研究

交通系统中,信息手段的有效运用能起到运输系统能量倍增器的作用。随着智能交通的发展,运用GIS技术,通过配置数据网络布局、建立道路网GIS空间数据库和地图要素属性数据库构建的道路交通信息系统,实现了交通信息的实时输入与输出及电子政务、安全监控等的应用。     

Parameter Estimation for Blur Image Combining Defocus and Motion Blur using Cepstrum Analysis

The degraded parameters recognition is very important for the restoration of blurred images. There are two common types of blurs for most camera systems. One is the defocus blur due to the optical system's defocus phenomenon and the other is the motion blur due to the relative movement between the objectives and the camera. Compared with the recognition for the blurred image with only one blur model, the parameter estimation for the picture combining defocus and motion blur models is a more complicated mission. A method was proposed for computer to estimate the parameters of defocus blur and motion blur in cepstrum area simultaneously. According to characters of both blur models in the frequency domain, an adjustment approach was suggested in the frequency area and then convert to the cepstrum field to increase the accuracy of measurement.