案例驱动下数据结构教材的编写

介绍数据结构的基本概念,讨论对数据结构课程的认知,提出教材编写过程中的几个要点,强调案例驱动教学模式在教材编写中的重要性,从而形成教材自身的特色。     

Robust H-infinity control for uncertain discrete-time Markovian jump systems with actuator saturation

The design of robust H-infinity controller for uncertain discrete-time Markovian jump systems with actuator saturation is addressed in this paper. The parameter uncertainties are assumed to be norm-bounded. Linear matrix inequality (LMI) conditions are proposed to design a set of controllers in order to satisfy the closed-loop local stability and closed-loop H-infinity performance. Using an LMI approach, a set of state feedback gains is constructed such that the set of admissible initial conditions is enlarged and formulated through solving an optimization problem. A numerical example is given to illustrate the effectiveness of the proposed methods.     

双自由度后坐保险机构敏感因子对比

目前国内对双自由度后坐保险机构的研究大多集中于对其动态特性的分析和仿真,对机构运动影响敏感因子的分析很少。借助计算机仿真,运用正交试验设计方法对双自由度后坐保险机构敏感因子进行分析,确定各敏感因子对机构影响程度的主次顺序以及主要敏感因子。结果表明上质量块质量对其运动特性影响最大并为主要敏感因子,然后依次是惯性簧刚度,惯性簧长度和下质量块质量的影响。     

基于PERT图的虚拟拆装过程建模

提出了使用PERT图来建立虚拟拆装过程模型的方法,根据零件之间的约束关系构造PERT图及其对应的依赖矩阵,并且能够根据它来指导虚拟拆装训练过程的实施.所提供的方法在对某设备的虚拟维修中得到了验证.     

层次非负矩阵分解及在文本聚类中的应用

文本聚类的目标是把数据集中内容相似的文档归为一类,而使内容不同的文档分开。目前针对不同领域的需求,多种解决聚类问题的算法应运而生。然而,由于文本数据本身固有的复杂特点,如海量、高维、稀疏等,使得对海量文本数据的聚类仍然是一个棘手的问题。提出了层次非负矩阵分解聚类方法,该方法不但保留了非负矩阵分解的优点,如同步识别文档类别和找出类别本质特征,而且能够展现类别间的层次结构。这种类别层次结构在网页预览等应用中是非常有用的。在真实数据集20Newsgroups和Reuters-RCV1上的实验结果表明,层次非负矩阵分解相比已有的方法更有效。     

混沌密码系统弱密钥随机性分析

弱密钥问题是混沌密码系统设计中的关键问题,已有研究主要从混沌序列退化角度进行分析.然而,本文指出保证混沌序列不退化的密钥参数仍可能构成混沌密码的弱密钥.本文提出以混沌密码序列随机性作为评价标准,应用严格的统计检验方法对混沌密码的弱密钥进行检测.进一步,对一类混沌密码系统进行了弱密钥研究,检测出了该系统大量未被发现的弱密钥.这确证了所提出方法的有效性.另一方面,虽然已有较多研究采用统计检验对混沌比特序列进行测试,但将统计检验用于分析混沌密码弱密钥或弱序列的研究还很少见.本文给出的统计检验弱序列分析,对当前混沌密码统计检验研究是一个很好的补充.     

Heterodyne mixing and polarization diversity techniques in radio over fiber system with high sensitivity and dispersion tolerance

We propose and experimentally demonstrate the heterodyne mixing and polarization diversity tech- niques in radio over fiber (ROF) systems with the advantages of high sensitivity and dispersion endurance. The generation of 2.5 Gb/s optical DPSK and PSK signals, fiber propagation and wireless transmission over 15 GHz subcarrier are illustrated with very low sensitivity of -26 and -32 dBm, respectively. Moreover, based on the wireless polarization diversity techniques, we successfully performed the t...     

基于ARM的智能仪表系统的设计

介绍了一种基于Cortex-m3核的ARM STM32F103RC芯片的智能仪表系统。系统采用了微控制器模块及其外围模块而构建的嵌入式智能仪表系统的模块设计方法,其中包括8路模拟量输入(涉及ADC)、4路数字量输入和4路模拟量输出(涉及DAC)、2路数字量输出,还有CAN控制器部分。目的是完成与现场之间数据信息的传输、数据处理以及通过CAN总线与上位机通信等任务。本文设计重点突出其通用性强、高性能、高可靠性、低成本的优势。     

LPP solution schemes for use with face recognition

Locality preserving projection (LPP) is a manifold learning method widely used in pattern recognition and computer vision. The face recognition application of LPP is known to suffer from a number of problems including the small sample size (SSS) problem, the fact that it might produce statistically identical transform results for neighboring samples, and that its classification performance seems to be heavily influenced by its parameters. In this paper, we propose three novel solution schemes for LPP. Experimental results also show that the proposed LPP solution scheme is able to classify much more accurately than conventional LPP and to obtain a classification performance that is only little influenced by the definition of neighbor samples.