计算机输入设备的频谱检测与分析

利用频谱分析仪对计算机输入设备工作时发射的辐射信号进行测试,获取输入设备辐射信号的频谱数据并进行相应的频谱特性分析。找出其泄漏的主要频段和特点,为输入设备的防护提供依据。     

UHT乳中Ccps信息的计算机管理

针对UHT乳系列产品,找出影响质量的关键点,并实时跟踪监测,针对问题实际制定纠偏措施,设计出了关键控制点（CCPs）信息的计算机管理程序,并对数据不定时查询和验证。     

浅谈五笔字型输入法速度

随着科学技术的发展以及办公自动化的普及,文字输入将是提高办公效率的基础。汉字的输入法较多,但是五笔字型输入法是几种输入法中最专业、速度最快、效率最高的一种录入方法。这种方法较其他输入法有着显著的优点,无论多么复杂的汉字和词组,最多只需击四个键便可输入电脑。重码率低于O.02％。懂五笔打字容易,但真正要会五笔打字就要付出相当的努力,还要讲究一定的方法和技巧,进行有效而系统的练习,才能提高五笔字型的输入速度。     

Role of multiplicity in reactive distillation control system design

The impact of steady-state multiplicities on the control of a simulated industrial scale methyl acetate reactive distillation (RD) column is studied. At a fixed reflux rate, output multiplicity, with multiple output values for the same reboiler duty, causes the column to drift to an undesirable steady-state under open loop operation. The same is avoided for a fixed reflux ratio policy. Input multiplicity, where multiple input values give the same output, leads to “wrong” control action under feedback control severely compromising control system robustness. A new metric, rangeability, is defined to quantify the severity of input multiplicity in a steady-state input–output (IO) relation. Rangeability is used in conjunction with conventional sensitivity analysis for the design of robust control structures for the RD column. Results for the two synthesized control structures show that controlling the most sensitive reactive tray temperature results in poor robustness due to low rangeability causing “wrong” control action for large disturbances. Controlling a reactive tray temperature with acceptable sensitivity but larger rangeability gives better robustness. It is also shown that controlling the difference in the temperature of two suitably chosen reactive trays further improves robustness of both the structures as input multiplicity is avoided. The article brings out the importance of IO relations for control system design and understanding the complex dynamic behavior of RD systems.     

Optimized scenario for rainfall forecasting using genetic algorithm coupled with artificial neural network

Rainfall forecasting plays many important role in water resources studies such as river training works and design of flood warning systems. Recent advancement in artificial intelligence and in particular techniques aimed at converting input to output for highly nonlinear, non-convex and dimensionalized processes such as rainfall field, provide an alternative approach for developing rainfall forecasting model. Artificial neural networks (ANNs), which perform a nonlinear mapping between inputs and outputs, are such a technique. Current literatures on artificial neural networks show that the selection of network architecture and its efficient training procedure are major obstacles for their daily usage. In this paper, feed-forward type networks will be developed to simulate the rainfall field and a so-called back propagation (BP) algorithm coupled with genetic algorithm (GA) will be used to train and optimize the networks. The technique will be implemented to forecast rainfall for a number of times using rainfall hyetograph of recording rain gauges in the Upper Parramatta catchment in the western suburbs of Sydney, Australia. Results of the study showed the structuring of ANN network with the input parameter selection, when coupled with GA, performed better compared to similar work of using ANN alone.     

基于UEFI的可信BIOS研究与实现

分析固件基本输入输出系统(BIOS)的安全需求,定义了可信BIOS概念。基于UEFI规范和可信计算机制设计UTBIOS体系结构。UTBIOS的实现以新一代符合UEFI规范的BIOS产品为基础,使用可信测量根核对BIOS运行和系统引导过程中各部件进行可信测量,构建操作系统运行前的可信链,讨论可信测量对BIOS引导过程的性能影响。     

基于造字程序的布莱尔盲文平面输入系统研究与实现

在实际工作学习时,尤其是正常人学习盲文,或正常人之间需要用盲文交流时,或者盲文和普通文字的混排,或者需要简单的方法把盲文输入到普通的文档中.主要介绍了盲文字库的设计方法,以及解决该字库在不同计算机之间的移植和盲文字符的输入法等问题.     

基于HMM的汉语整句拼音输入法研究

介绍了一种基于HMM的汉语整句拼音输入转换为整句汉字的输入法,提出了引入语言知识后的一种音字选择方法.并给出了采用N元拼音文法时的选择模型.实验表明,该方法取得了较好的效果.     

Adaptive control for a class of nonlinear systems with time-varying delays in state and input

This paper is concerned with the adaptive stabilization problem of uncertain input delayed systems.A solution to this problem is given for a class of uncertain nonlinear systems with time-varying delays in both state and input.An adaptive asymptotically stabilizing controller,which can guarantee the stability of the closed-loop system and the convergence of the original system state,is designed by means of the Lyapunov-Krasovskii functional stability theory combined with linear matrix inequalities (LMIs) an...     

State feedback design for input-saturating quadratic systems

This paper proposes a method to design stabilizing state feedback control laws for nonlinear quadratic systems subject to input saturation. Based on a quadratic Lyapunov function, a modified sector condition and a particular representation for the quadratic terms, synthesis conditions in a “quasi”-LMI form are stated in a regional (local) context. An LMI-based optimization problem is then derived for computing the state feedback gains maximizing the estimate of the stability region of the closed-loop system.