信息安全评估算法研究

针对目前各企业在网络信息安全测评中采用的对核查结果统计处理算法中的缺点,通过对计算机安全特点的研究,对比通常采用的加权算术平均法中权数的选取,本文提出采用多元线性回归算法求解加权算术平均法中的权数。该算法可以在使用的过程中减少人为因素对评估结果的影响,提高评估结果的可信度。     

一种可支持多路音频、视频同时播放的装置设计

介绍了一种可支持多路音频／视频同时播放的装置,该装置可用来实现电脑或电视等多媒体设备在播放多个视频画面的同时,获得互不干扰的音频输出。该装置中的数据缓存模块连接有多个音频／视频读取模块,音频／视频读取模块的输出端分别与音频输出接口和视频呈现模块连接。     

新型粒子群算法在多元方程组求解中的应用

介绍了求解多元方程组的一种新型粒子群算法。通过引入多路并行的粒子群与可变异惯性权重,有效地增加了算法种群的多样性,提高了算法的整体寻优能力,使传统粒子群算法容易陷入局部最优解的问题得到了有效解决。最后通过求解运算,与传统粒子群算法进行比较,验证了该算法在求解多元方程组问题上的优越性。     

基于ARM9-Linux的注塑机伺服控制系统

全电动注塑机的控制系统任务繁多且要求实时性强。结合全电动注塑机的工艺特点,提出了以ARM9处理器为核心的全电动注塑机硬件系统,并利用嵌入式操作系统Linux提供的多进程多线程通信机制进行软件设计,从而满足全电动注塑机的各种伺服控制要求。     

一种新的基于在线采样的多物体跟踪方法

跟踪多个运动物体,尤其是在遮挡过程中跟踪多个运动物体,是计算机视觉领域一个重要但具有挑战性的问题.该文提出了一种新的在线采样、更新学习和分类的跟踪框架来处理多物体跟踪问题.首先,对遮挡发生前若干帧的各物体进行块采样,作为训练样本进行在线分类器设计.各帧的物体区域也在线进行块采样,并用这些分类器来进行分类标号.如果遮挡没有发生,一些新的训练样本被添加用来更新分类器.当遮挡发生时,根据标号结果,前景区域被分割成多个目标物体.和以往方法相比,新方法不依赖于一些假设条件,如场景深度信息、物体的先验模型(比如形状、种类、区域内颜色各向同性、运动规律等),具有更好的适应能力.实验结果验证了该文方法的稳定性和有效性.     

Using simulation and multi-criteria methods to provide robust solutions to dispatching problems in a flow shop with multiple processors

Dispatching rules are important to the performance of a manufacturing system. Selective applications of different priority rules at different processing stages in a multiple workstation manufacturing system have a positive impact on shop performance. This type of problem is a combinatorial dispatching decision. However, no dispatching rule can consistently produce better performance than all other rules under a variety of operating conditions and criteria. It is the purpose of this study to provide a robust solution for a dispatching decision that will have ‘good’ performance under different operating scenarios. In this paper a simulation case of a flow shop with multiple processors is proposed, specifically a multi-layer ceramic capacitor manufacturing system. Two multiple criteria decision-making methods – techniques for order preference by similarity to ideal solution (TOPSIS) and an analytic hierarchy process (AHP) – in combination with Taguchi orthogonal array are used to find the most suitable dispatching rule for every workstation. The results show that for 15 production scenarios and 4 criteria this combinatorial dispatching rule is robust, in the sense that it outperforms other commonly employed strategies.     

Real-time reliability prediction for dynamic systems with both deteriorating and unreliable components

As an important technology for predictive maintenance, failure prognosis has attracted more and more attentions in recent years. Real-time reliability prediction is one effective solution to failure prognosis. Considering a dynamic system that is composed of normal, deteriorating and unreliable components, this paper proposes an integrated approach to perform real-time reliability prediction for such a class of systems. For a deteriorating component, the degradation is modeled by a time-varying fault process which is a linear or approximately linear function of time. The behavior of an unreliable component is described by a random variable which has two possible values corresponding to the operating and malfunction conditions of this component. The whole proposed approach contains three algorithms. A modified interacting multiple model particle filter is adopted to estimate the dynamic system’s state variables and the unmeasurable time-varying fault. An exponential smoothing algorithm named the Holt’s method is used to predict the fault process. In the end, the system’s reliability is predicted in real time by use of the Monte Carlo strategy. The proposed approach can effectively predict the impending failure of a dynamic system, which is verified by computer simulations based on a three-vessel water tank system.     

Multivariable direct adaptive decoupling controller using multiple models and a case study

In this paper, a multivariable direct adaptive controller using multiple models without minimum phase assumption is presented to improve the transient response when the parameters of the system jump abruptly. The controller is composed of multiple fixed controller models, a free-running adaptive controller model and a re-initialized adaptive controller model. The fixed controller models are derived from the corresponding fixed system models directly. The adaptive controller models adopt the direct adaptive algorithm to reduce the design calculation. At every instant, the optimal controller is chosen out according to the switching index. The interaction of the system is viewed as the measured disturbance which is eliminated by the choice of the weighing polynomial matrix. The global convergence is obtained. Finally, several simulation examples in a wind tunnel experiment are given to show both effectiveness and practicality of the proposed method. The significance of the proposed method is that it is applicable to a non-minimum phase system, adopting direct adaptive algorithm to overcome the singularity problem during the matrix calculation and realizing decoupling control for a multivariable system. Supported by the National Natural Science Foundation of China (Grant Nos. 60504010, 60864004), the National High-Tech Research and Development Program of China (Grant No. 2008AA04Z129), the Key Project of Chinese Ministry of Education (Grant No. 208071), and the Natural Science Foundation of Jiangxi Province (Grant No. 0611006)     

高校校园网络文化的影响与对策

网络文化的兴起与发展,改变和重构了人们的学习、工作及生活方式,也给校园文化带来了巨大的冲击。该文在阐释校园网络文化的内涵和特点的基础上,重点分析了校园网络文化的影响,探究了构建高校和谐校园网络文化的对策。     

建构主义教学法在JAVA程序设计课程中的改革与应用

大学计算机相关专业中,学生在理解和掌握知识的同时更关注自己的学分总数和学分积点,学习兴趣和能力培养成为获取毕业证书和学位证书的一个副产品。导致学生难以产生浓厚的程序设计兴趣,对专业课程的掌握不够扎实。因此改变学生的学习心态和认识尤为重要,基于建构主义的教学方法在专业课程中的应用则会起到促进的效果,让学生在主动学习,享受学习的过程中掌握计算机课程的核心技术,让证书成为一个必然的副产品。