计算机应用现状及发展趋势

人类步入信息时代以后,计算机和人类的关系也显得日益密切.人们的生活、生产以及科学研究都离不开计算机.在这个计算机飞速发展的年代,我们应该了解计算机应用的现状以及它的发展趋势.     

Micromachined sol–gel carbon nanotube/SnO2 nanocomposite hydrogen sensor

A novel micromachined single wall carbon nanotube (SWCNT) reinforced nanocrystalline tin dioxide gas sensor has been developed. The presence of SWCNT in SnO₂ matrix was realized by a spin-on sol–gel process. The SWCNT/SnO₂ sensor's sensitivity for hydrogen detection has greatly increased by a factor of three, in comparison to that of pure SnO₂ sensor. The novel sensor also lowers the working temperature, response time and recovery time. The greatly improved performances are mainly attributed to the effective gas accessing nano passes through SWCNT plus the smaller distance between adjacent gas accessing boundaries formed by the distribution of tiny SWCNTs. Therefore, both the spatial requirement (D ≤ 2L, D is the distance between adjacent gas accessing boundaries and L is the space charge layer thickness) and surficial requirement (adequate gas activation area) are met and the maximum inherent sensitivity of SnO₂ is achieved.     

浅谈《数据库技术》实验课教学方法设计

本文针对目前高校计算机试验课教学的特点和现状,从试验教学的内容和形式方法上进行了探讨,同时提出了关于《数据库技术》试验课教学的改革方法。     

基于GFSIN的车载式智能加速度传感单元的设计

为实现机动车运行安全状态监测,解决车身运动姿态监测问题,引入运用在飞行器导航中的无陀螺捷联惯性导航系统（GFSINS）基本原理,建立了基于三维加速度计正方体四顶点车身姿态监测模型,并研究了车载式智能加速度传感单元的设计与实现。实验结果表明,该智能加速度传感单元车速测量误差为1.98%,响应时间为0.38s,可以满足应用要求。     

基于PRI谱的双门限雷达信号分选算法及其硬件平台设计

针对修正的PRI变换法无法分选重频参差雷达信号的缺点,提出了一种基于PRI谱的双门限雷达信号分选算法.该算法先对PRI谱设定双门限检测各个准PRI,再结合组合查看及序列搜索提取各个PRI.同时,构建了一种预分选、主分选结合的新型分选平台.预分选利用带有PowerPC的FPGA构架片上系统,完成对脉冲雷达信号的实时测量、AOA分类及数据存储;主分选采用DSP专职完成其他维参数的分选算法.谊分选新算法在保留抑制PRI子谐波优点的同时,对重频固定、抖动和参差的雷达脉冲信号都有较好的检测结果.视频信号源的大量测试表明,谊分选平台对普通雷达、PRI抖动和参差雷达、频率捷变雷达及一些特殊雷达均具有较好的分选能力.     

一种新的PBW图像盲水印算法

介绍一种新的PBW水印理论.传统的水印方法是由水印自身携带信息,而在PBW方法中信息与图像中嵌入水印的位置有关,可以选择较好的代表信息的位置去嵌入水印.为了更有效地提取水印信息,还可选择与宿主图像相关度最低的水印作为较好的水印进行嵌入.将PBW方法与扩展谱方法进行对比分析,并在小波变换域进行实验.大量实验结果表明,与传统的扩展谱方法相比,该方法具有更好的鲁棒性和透明性,特别对串谋攻击有很好的鲁棒性.     

网上购物系统数据库的设计与实现

基于．NET网上购物系统的数据库设计,通过一个实例,说明在MIS系统建立数据库应注意的事项.     

一种多模冗余结构存储器系统的容错设计研究

某型飞机代码转换器存储器用于存储ARINC419总线数据的地址,针对存储器数据易丢失影响数据传输的故障,提出了采用多模冗余结构的存储器系统容错设计方案;首先研究了三模冗余结构的可靠性,分析了存储器采用冗余结构设计的可行性,在此基础上,给出了多模冗余结构存储器实现方法和逻辑电路,并对其容错性进行了分析;实际工程应用表明,采用多模冗余结构存储器设计提高了国产化代码转换器的可靠性,降低了该设备的故障率。     

转子系统早期碰摩故障特征提取方法研究

航空发动机转子系统是发动机的核心部件,针对发动机转子系统早期碰摩故障难以检测的特点,通过对碰摩机理分析及早期故障特征的研究,提出了基于小波变换对原始信号降噪和虚拟仪器对转子系统振动数据采集相结合的方法,对转子系统早期碰摩故障特征进行提取,并在转子试验台上进行了实验验证。结果表明,采用LabVIEW程序采集转子系统振动数据并存储,然后应用小波变换进行数据分析和处理,能够对转子早期碰摩故障特征进行有效地提取。     

Intelligent Optimal-Setting Control for Grinding Circuits of Mineral Processing Process

During the operation of a grinding circuit (GC) in mineral processing plant the main purpose of control and optimal operation is to control the product quality index, namely the product particle size, into its technically desired ranges. Moreover, the grinding production rate needs to be maximized. However, due to the complex dynamic characteristics between the above two indices and the control loops, such control objectives are difficult to achieve using existing control methods. The complexity is reflected by the existence of process heavy nonlinearities, strong coupling and large time variations. As a result, the lower level loop control with human supervision is still widely used in practice. However, since the setpoints to the involved control loops cannot be accurately adjusted under the variations of the boundary conditions, the manual setpoints control cannot ensure that the actual production indices meet with technical requirements all the time. In this paper, an intelligent optimal-setting control (IOSC) approach is developed for a typical two-stage GC so as to optimize the production indices by auto-adjusting on line the setpoints of the control loops in response to the changes in boundary conditions. This IOSC approach integrates case-based reasoning (CBR) pre-setting controlling, neural network (NN)-based soft-sensor and fuzzy adjusting into one efficient control model. Although each control element is well known, their innovative combination can generate better and more reliable performance. Both industrial experiments and applications show the validity and effectiveness of the proposed IOSC approach and its bright application foreground in industrial processes with similar features.