基于神经网络多分类器组合模型的OCR应用研究

根据多分类器组合原理,提出一种基于神经网络的多分类器组合模型.该模型首先使用基于贯穿码特征的分类器对字符分类,然后,由基于投影特征的分类器对经过上一级分类器分类后的字符进行识别.试验表明,该模型能有效提高光学字符识别率.     

基于最终失效强度的层合板结构优化分析

采用有限元方法分析了复合材料层合板结构的最终失效强度，并以此对结构进行了优化分析．层合板结构同时承受面内和面外载荷，每个单层板考虑基体失效和纤维断裂两种失效模式．当某一单层失效后采用比率退化法计算结构新的刚度，然后重新进行结构分析，直到求得结构的最终失效强度．以纤维方向角和层合板厚度作为设计变量，以最终失效强度为目标，对结构进行优化分析．     

城市轨道交通站前交叉渡线折返能力影响因素分析

站前交叉渡线折返是目前城市轨道交通采用较多的一种折返形式,提高该类折返线能力对提高线路运能具有重要意义。文章分析了站前交叉渡线单股道和双股道折返的技术作业过程,通过列车牵引制动运行仿真,研究了进站速度和道岔限速2个关键因素对折返能力的影响,提出了提高折返能力的若干措施。该项研究可为城市轨道交通折返站设置提供依据。     

排气温度、排气流量和海拔高度对SCR系统NOx转化率和NH3泄漏量的影响研究

为研究不同海拔下SCR系统性能,分别在80、90、100 k Pa大气压力下对一台满足国五排放标准的高压共轨柴油机进行性能与排放试验,以研究排气温度、排气流量和海拔变化对NO_x转化率和NH₃泄漏量的影响。结果表明:在排气流量为350 kg/h情况下,NO_x转化率随排气温度升高呈现先增后减的趋势,不同温度下NO_x转化率最大差值为43.4百分点;NH₃泄漏量随着温度的升高大体上呈下降趋势,不同温度下NH₃泄漏量最大差值为328×10^-6;NO_x转化率随排气流量升高呈现先增后减的趋势,在250℃时,不同排气流量下NO_x转化效率最大相差21.5百分点;NH₃泄漏量随排气流量的增大而增加,在250℃时,不同排气流量下NH₃泄漏量最大差值为90.8×10^-6。相同工况下,海拔越高,NO_x转化率越高,NH₃泄漏量越小,大气压力为80和100 k Pa下NO_x转化率最大相差20.1百分点,NH₃泄漏量最大相差54.6×10^-6。     

国外微型潜艇装备技术发展研究

在远洋作战需求的推动下,大型远洋作战潜艇装备逐步成为现阶段世界各国发展重点,但微型潜艇装备以其独特的作战优势与造价优势,成为多国关注重点。     

The evolution of urban traffic control: changing policy and technology

Abstract

The history of urban traffic control (UTC) throughout the past century has been a continued race to keep pace with ever more complex policy objectives and consistently increasing vehicle demand. Many benefits can be observed from an efficient UTC system, such as reduced congestion, increased economic efficiency and improved road safety and air quality.

There have been significant advances in vehicle detection and communication technologies which have enabled a series of step changes in the capabilities of UTC systems, from early (fixed time) signal plans to modern integrated systems. A variety of UTC systems have been implemented throughout the world, each with individual strengths and weaknesses; this paper seeks to compare the leading commercial systems (and some less well known systems) to highlight the key characteristics and differences before assessing whether the current UTC systems are capable of meeting modern transport policy obligations and desires.

This paper then moves on to consider current and future transport policy and the technological landscape in which UTC will need to operate over the coming decades, where technological advancements are expected to move UTC from an era of limited data availability to an era of data abundance.     

功利原则和公正原则的统一——论邓小平经济思想中的伦理意蕴

功利原则和公正原则的统一，是邓小平建设有中国特色的社会主义理论的一个重要组成部分，其中蕴含着丰富的经济伦理思想。     

采用深搅桩护壁的挖孔桩成孔工艺

开挖软弱地层或含水率高的杂填土层进行人工挖孔桩施工,往往由于地下水干扰及土层强度低而无法开挖或造成塌陷,并威胁到施工人员生命安全。对在多个实际工程项目中成功运用的采用深搅桩护壁的桩孔施工工艺进行了分析,并通过试验建立了工程质量控制及评定标准,初步形成了一整套工艺标准。     

Belleli Energy SpA在位于卡塔尔Pearl地区中部的天然气制液体燃料工厂中建造反应器

三年内，Belleli SpA将在迪拜、阿联酋为卡塔尔石油公司和壳牌位于Pearl的天然气制液体燃料装置（这套位于卡塔尔地岬拉斯拉法工业城的装置目前正在建造中）建造12个反应器。这些反应器采用厚壁和耐高压的容器用钢作为材质，从而满足了石油与天然气工业对优质反应器的需求.     

Forecast verification of a 3D model of the Mediterranean Sea. The use of discrete wavelet transforms and EOFs in the skill assessment of spatial forecasts

The quality assessment of a nested model system of the Mediterranean Sea is realised. The model has two zooms in the Provençal Basin and in the Ligurian Sea, realised with a two-way nesting approach. The experiment lasts for nine weeks, and at each week sea surface temperature (SST) and sea level anomaly are assimilated. The quality assessment of the surface temperature is done in a spatio-temporal approach, to take into account the high complexity of the SST distribution. We focus on the multi-scale nature of oceanic processes using two powerful tools for spatio-temporal analysis, wavelets and Empirical Orthogonal Functions (EOFs). We apply two-dimensional wavelets to decompose the high-resolution model and observed SST into different spatial scales. The Ligurian Sea model results are compared to observations at each of those spatial scales, with special attention on how the assimilation affects the model behaviour. We also use EOFs to assess the similarities between the Mediterranean Sea model and the observed SST. The results show that the assimilation mainly affects the model large-scale features, whereas the small scales show little or no improvement and sometimes, even a decrease in their skill. The multiresolution analysis reveals the connection between large- and small-scale errors, and how the choice of the maximum correlation length of the assimilation scheme affects the distribution of the model error among the different spatial scales.