Influence of Sn and Mo on corrosion behavior of ferrite-pearlite steel in the simulated bottom plate environment of cargo oil tank

This work investigated the influence of Sn and Mo on corrosion behavior of ferrite-pearlite steel in the simulated bottom plate environment of cargo oil tank. The results indicate that the corrosion rate of three ferrite-pearlite steels increased with extending the immersion time due to the continuous accumulation of the residual Fe_3C. However, the addition of Sn or the combined addition of Sn and Mo could reduce the corrosion rate of Sn containing steel and Sn-Mo containing steel to 37.5% and 20% of that of carbon steel, respectively. Moreover, the cathodic reaction of Sn containing steel and Sn-Mo containing steel was always controlled by the charge transfer step during the whole immersion test, while that of carbon steel was gradually transformed into the diffusion-controlled process. These results were mainly related with the deposition of metallic Sn and Mo on the steel surface. The metallic Sn and Mo with uniform distribution restrained the galvanic effect through suppressing both the anodic dissolution of ferrite and cathodic hydrogen evolution reaction on the residual Fe_3C.     

nRF24L01在ABS试验平台上的应用

介绍了无线通信模块NRF24L01的结构和特点,设计无线通信的ABS参数测量系统,系统通过对ABS试验平台轮速进行采集,将轮速转化成频率信号,利用周期测量法测出频率,经无线通信模块NRF24L0将数据发送出去。在终端通信模块与主接收模块之间采用TDMA通信方式进行数据交互,主接收模块接收到数据传送到上位机上显示。     

设备远程监控及故障诊断系统

基于GPRS技术和规则引擎,设计开发了一个高校仪器设备远程监控及故障诊断系统。该系统可扩展性强,能实现事件记录、远程监控、故障自诊断等功能。能够真正意义上实现对设备从采购到报废整个生命周期的管理,提高教育投资效益,减少仪器设备重复购置,降低故障率。本文从系统的组成框架、实现流程、关键功能模块以及应用实例等几个方面来介绍该系统设计思想及实现技术。该系统具有人机界面良好,实用性强,成本投资少等特点。     

基坑开挖对邻近建筑物影响的数值模拟

基坑开挖引起的近邻建筑物沉降变形是多种因素耦合作用的结果,现有的计算理论很难考虑这种多因素的耦合作用。针对这一问题,采用大型工程软件ADINA对锚杆支护形式下基坑开挖引起的近邻建筑物沉降问题进行了数值模拟分析,得出了一些基本结论:建筑物的沉降在宽度方向变化显著,在长度和高度方向变化不明显;建筑物的水平位移在高度方向变化显著,在长度和宽度方向变化不明显,基础埋得越深对沉降的影响越小,在开挖到基础标高之前,建筑物沉降不大,当开挖到标高以后,沉降发展很快,因此在实际施工时,基础标高以上可以加快开挖速度,标高以下需要放慢开挖速度。对于结构设计而言,应该在基础以下进行加固处理,以减小由基底附加应力产生的较大沉降。     

基于带Mobile Agent的无线传感器网络的分簇算法

相对于传统方式的无线传感器网络结构,带Mobile Agent(MA)的无线传感器网络(sensor network with mobile agent,SENMA)具有更高的能量效率和更长的网络生存时间.设计了一种针对SENMA的分簇算法:依据节点之间的位置关系将节点分为多个簇并选举出簇头节点,每个簇中,簇成员不与簇头进行通信,由簇头将监测数据回传至MA.实验证明这种算法能较好地平衡节点负载,缓解因节点失效导致的网络性能衰减.     

基于遗传算法的AS-R移动机器人路径规划研究

将遗传算法应用于机器人的全局路径规划,并在AS-R移动机器人上进行了实验研究.首先用栅格法对机器人的工作环境进行划分,得到机器人的环境模型;其次采用遗传算法进行路径搜索,并引入多种遗传算子,增强了算法的实用性.在AS-R机器人上采用VC开发,并在5×5的栅格环境中进行路径规划研究.实验结果表明,遗传算法结合栅格环境对移动机器人进行路径规划,具有简单且通用的效果,所得的折线路径也更适合于机器人进行轨迹跟踪.     

基于循环前缀的OFDM同步算法研究与FPGA实现

提出了一种基于循环前缀的符号同步算法。此算法在最大似然估计的基础上加以改进,简化了符号同步中相关运算的判决方法,在保持同步效率的同时,极大地节约了硬件资源,使算法更易于硬件实现。改进算法基于IEEE 802.11a的标准提出,通过Matlab仿真分析其性能,并在FPGA硬件平台上实现,利用ChipScope观测得到波形。实验结果表明,电路系统工作可靠,满足设计要求。     

Two-stage cascaded classification approach based on genetic fuzzy learning for speech/music discrimination

Automatic discrimination of speech and music is an important tool in many multimedia applications. The paper presents a robust and effective approach for speech/music discrimination, which relies on a two-stage cascaded classification scheme. The cascaded classification scheme is composed of a statistical pattern recognition classifier followed by a genetic fuzzy system. For the first stage of the classification scheme, other widely used classifiers, such as neural networks and support vector machines, have also been considered in order to assess the robustness of the proposed classification scheme. Comparison with well-proven signal features is also performed. In this work, the most commonly used genetic learning algorithms (Michigan and Pittsburgh) have been evaluated in the proposed two-stage classification scheme. The genetic fuzzy system gives rise to an improvement of about 4% in the classification accuracy rate. Experimental results show the good performance of the proposed approach with a classification accuracy rate of about 97% for the best trial.     

云重心评判法在防空兵作战能力评估中的应用

在传统的云重心评判法中,加权偏离度不符合"非负有界性、可加性、归一性"的测度准则,给评测 结果的生成带来了较大困难;鉴于此,提出一种改进的云重心评判法,该方法借鉴TOPSIS法的基本思想,基于理想状态和负理想状态,对综合云重心向量进行归一化,由此得出的修正的加权偏离度符合"非负有界性、可加性、归一性"的测度准则,从而克服了传统云重心评判法的不足;以防空兵作战能力评估为例,应用实例证明了改进的云重心评判法的合理性和有效性.