5Cr套管钢在不同CO2分压下高温高压腐蚀特性研究

为了研究5Cr套管钢在不同CO₂分压下的腐蚀特性,进行了5Cr套管钢高温高压腐蚀失重和高温高压电化学试验,并采用XRD、SEM和EDS等手段对其腐蚀产物进行微观分析。结果表明,在高温高压腐蚀环境下随着CO₂分压从低到高,其表面点蚀坑的深度和直径均无明显变化,而点蚀速率则出现逐渐减小的趋势;其腐蚀产物膜由Cr(OH)₃、FeCO₃和CaCO₃共同组成,且随着CO₂分压的升高Cr的富集量逐渐增加;在电化学测试中,随着CO₂分压的不断升高,5Cr套管钢表现出半钝化特征,产物膜逐渐增厚且致密,且极化电阻逐渐增大,阳极反应受到抑制,电化学反应阻力增大,其抗局部腐蚀能力不断提高。     

Intermetallic phase formation in directionally solidified Al−Si−Fe alloy

The present study has been undertaken to better understand the solidification behavior of Al−Si−Fe alloys containing 7wt.% Si and 0.9wt.% Fe, with particular regard to the formation of phase during controlled solidification and influence of growth rates on intermetallic phase selection. The alloys studied were Al-7Si-0.9Fe alloys, which were produced by a modified Bridgman solidification arrangement. These alloys were solidified unidirectionally with different growth rates (1–30mm/min). The solidified microstructure of these alloys consists of the growth of primary aluminum and multiple second phase reactions.     

压力传感器在线状态监测装置研发

目前煤炭输送皮带采用双托辊(2个传感器)或四托辊(4个传感器)并采取传感器输出信号并联方法,以此提高皮带秤的准确性和稳定性.然而该并联方法无法对传感器进行独立采集,同时影响了传感器的故障判断.采用MSC1210Y5单片机和信号分离器,设计并联称重传感器系统的压力传感器状态在线监测装置,实现多个压力传感器并联应用时的独立采集;设计压力传感器在线状态比对算法,将不断变化的称重累计量转换为定量值,解决称重累计量为变量而无法准确在线监测的技术弊端.测试结果表明该装置较好地满足了压力传感器独立采集的要求,为称重计量装置等集中监控提供有效手段.     

HTML5移动web应用技术实现分析

与Native应用相比,移动web应用能很好地解决目前Native操作系统割裂的问题,将为产业链各方带来全新的平等竞争机会,引导移动互联网产业链的新模式发展。本文首先介绍了HTML5移动web应用的发展概况,然后分析了基于HTML5移动web应用相关技术标准的发展情况,随后对基于HTML5的移动web应用及终端的技术实现方案进行了分析,最后对全文内容进行了总结,从HTML5移动web应用、技术标准及终端的发展趋势进行了展望。     

基于FPGA＋DSP的跳频电台传输系统

高速率跳频、高带宽技术是提高跳频发射机性能的关键,本文结合软件无线电思想和架构,提出一种基于FPGA＋DSP的跳频电台传输系统的设计方案,该系统兼容多种调制方式和跳频速率及数码率。系统采用上下变频器作为系统基带信号与中频信号之间的频率转换器,还给出了系统电路原理图和程序流程图。     

TYPHOON PROCESS AND ITS IMPACT ON THE SURFACE CIRCULATION IN THE NORTHERN SOUTH CHINA SEA

A severe typhoon Utor,occurring between July 3 and 8,2001,brought heavy rainfall,strong wind and storm surge.Utor was responsible for tremendous destruction and economic losses in Philippines,Taiwan and Guangdong.An air-sea model system (MM5 and Princeton Ocean Model(POM))was built to simulate meteorological dynamics and ocean circulation in the South China Sea(SCS).In the POM the output of MM5 was used as the input data.With an increased number of vertical levels,a high-resolution planetary boundary layer scheme and updated landuse/vegetation data,the accuracy of computing wind,temperature and other meteorological fields are improved in near surface and upper levels in MM5 simulations.The simulated trajectory and wind speed of Utor are close to the observed results.The simulated distribution of rainfall is accorded well with measured data in the Pearl River Delta(PRD)area.At different meteorological stations in Hong Kong,the wind,temperature and sea surface pressure are well simulated.The simulated ocean surface current and surface temperature fields have an obvious rightward-biased response to the typhoon Utor,and the maximum velocity and the lowest temperature region appear in the 30 km of the right side of the typhoon track.The typhoon Utor could make the water 50m under the surface ocean unwell to surface and the ocean surface temperature decrease by about 2°C.     

基于Eclipse与JBoss的EJB3应用研究

本文介绍了JEE5及EJB3的新特点,研究了基于JBoss应用服务器的EJB3应用。     

光学显微镜数字化改造的设计及仿真

目前数字显微镜得到了广泛的应用,强大的图像处理功能和友好的用户接口是其主要优势。为了充分利用医学院校的传统光学显微镜,提出了数字化的改造方法。设计出通过CCD采集、DSP图像处理、视频显示的数字化显微图像分析系统仿真平台。并且根据显微图像噪声特点提出分频的对比度受限直方图均衡算法,从而提高图像的对比度,抑制噪声放大。仿真结果表明,硬件平台可以稳定、有效地增强显微图像,并可达到20帧/秒的处理速度。     

Using k-nn and discriminant analyses to classify rain forest types in a Landsat TM image over northern Costa Rica

Conservation and land use planning in humid tropical lowland forests urgently need accurate remote sensing techniques to distinguish among floristically different forest types. We investigated the degree to which floristically and structurally defined Costa Rican lowland rain forest types can be accurately discriminated by a non-parametric k nearest neighbors (k-nn) classifier or linear discriminant analysis. Pixel values of Landsat Thematic Mapper (TM) image and Shuttle Radar Topography Mission (SRTM) elevation model extracted from segments or from 5 × 5 pixel windows were employed in the classifications. 104 field plots were classified into three floristic and one structural type of forest (regrowth forest). Three floristically defined forest types were formed through clustering the old-growth forest plots (n = 52) by their species specific importance values. An error assessment of the image classification was conducted via cross-validation and error matrices, and overall percent accuracy and Kappa scores were used as measures of accuracy. Image classification of the four forest types did not adequately distinguish two old-growth forest classes, so they were merged into a single forest class. The resulting three forest classes were most accurately classified by the k-nn classifier using segmented image data (overall accuracy 91%). The second best method, with respect to accuracy, was the k-nn with 5 × 5 pixel windows data (89% accuracy), followed by the canonical discriminant analysis using the 5 × 5 pixel window data (86%) and the segment data (82%). We conclude the k-nn classifier can accurately distinguish floristically and structurally different rain forest types. The classification accuracies were higher for the k-nn classifier than for the canonical discriminant analysis, but the differences in Kappa scores were not statistically significant. The segmentation did not increase classification accuracy in this study.     

A Hidden‐picture Puzzles Generator

A hidden‐picture puzzle contains objects hidden in a background image, in such a way that each object fits closely into a local region of the background. Our system converts image of the background and objects into line drawing, and then finds places in which to hide transformed versions of the objects using rotation‐invariant shape context matching. During the hiding process, each object is subjected to a slight deformation to enhance its similarity to the background. The results were assessed by a panel of puzzle‐solvers.