基于OOP、工程数据库和部件的道路CAD系统开发研究

总结了长沙交通学院公路ＣＡＤ研究所在开发“道路路线工程辅助设计系统”的过程中所进的关于道路ＣＡＤ系统的几方面研究,分析了其中主要环节的立论依据和技术背景,同时介绍了相应的研究成果在道路ＣＡＤ系统实际开发过程中的应用情况。     

机械摊铺沥青混凝土路面平整度的控制

1前期技术准备 1．1准备良好的下承层 只有上道工序经过严格验收后，方可进行面层施工。基层平整度、横坡度等技术指标对面层有着至关重要的影响。基层如果标高不准，平整度不好，将使得油面摊铺厚度不等，碾压后表面就会出现不平整。横坡应是单向坡，防止产生复合横坡引起横向摊铺厚度的变化，影响摊铺厚度，平整度下降。     

基于本体论的城市构筑物三维描述

为了解决城市构筑物空间描述现有方法存在的空间目标划分和表达困难的问题,应用本体论的基本理论———部分-整体关系,分析了城市构筑物的描述层次和几何定义;从部分和整体两方面对空间实体的联系进行了分析,提出了一种基于本体论的城市构筑物三维描述框架,并用V isual C 语言和OpenGL Perform er图形软件包实现了原型系统.     

绕线型异步电动机转子绕组事故分析和预防

对绕线型异步电动机转子绕组常见事故的分析,提出了具体的防治措施。     

对公交引导城市发展的思考

本期刊载《哥本哈根TOD模式研究》一文,结合国内城市发展状况,特别提出了中国城市应以快速公交引导城市发展的理念。本刊邀请部分专家围绕TOD模式进行专题讨论,从TOD模式及其对中国城市发展的经验借鉴等角度加以分析,并提出建议。     

浅谈沥青玛蹄脂碎石混合料(SMA)技术

在充分参考、吸收国外先进SMA技术的基础上,结合我国的气候特点和交通状况,详细阐述了符合我国实际的SMA技术。     

已有公路自然区划的框架体系、特点与适应性的研究

公路自然区划是研究自然环境对公路建设影响的产物，同时也是公路建设适应自然环境研究的结果．它可以为公路建设和环境生态保护提供科学的依据。在综合分析我国已有的公路自然区划的基础之上，探讨已有公路自然区划的框架体系、特点及适应性，可为新公路自然区划的制定提供必要的依据。     

INTELLIGENT TOOLS FOR PREDICTING ANXIETY OF ALZHEIMER'S PATIENTS

Objective To predict the incidence of anxiety in Alzheimer's disease (AD) patients by using machine-learning models. Methods A large randomized controlled clinical trial was analyzed in this study, which involved AD patients and caregivers from 6 different sites in the United States. The incidence of anxiety in AD patients was predicted by backpropagation artificial neural networks and several machine learning models, including Bayesian Networks, logistic regression, ADTree, J48, and Decision table. Results Among all models for predicting the incidence of anxiety in AD patients, the artificial neural network with respectively 6 and 3 neurons in the first and second hidden layers achieved the highest predictive accuracy of 85.56 %. The decision tree revealed three main risk factors: "caregiver experiencing psychological distress", "caregiver suffering from chronic disease or cancer", and "lack of professional care service". Conclusion The unique ability of artificial neural networks on classifying nonlinearly separable problems may substantially benefit the prediction, prevention and early intervention of anxiety in Alzheimer's patients. Decision tree has the double efficacy of predicting the incidence and discovering the risk factors of anxiety in Alzheimer's patients. More resources should be provided to caregivers to improve their mental and physical health, and more professional care services should be adopted by Alzheimer's families.     

复合混凝剂处理印染废水

聚合硫酸铝，聚合硫酸铁，以及更为复杂的聚合硫酸铝铁作混凝剂处理COD为3000mg/L,SS为300mg/L左右的印染废水的最佳工艺条件是:pH范围为7．0－9．5，搅拌速度为180r/min，一次处理混凝剂投加量为300mg/L，沉降时间为15min。COD去除率在80％左右，若再经双层滤料柱进行过滤处理，效果更好，能达到排效标准。     

Tool Wear Prediction in Micro-end-milling with Hard Material

The applications of micro-machining have increased drastically in the last ten years. However, tools with less than 1mm diameter using for micro-mills have very short and unpredictable life when they are used to cut hard metals. In this study, preliminary design of experiment (DOE) test program was conducted to investigate and identify the factors affecting tool wear at the micro-scale with hard material. Analysis of variance (ANOVA) and Taguchi method were efficient to determine appropriate cutting condition and the effect of parameters. A simple model was also developed to predict the width of slots on the workpiece along the cutting length. The obtained results can provide the basic guidelines for parameter setting of micro-end-milling with hard material.