基于FPGA的保密型密码输入器设计

为了改善现有密码输入器容易造成密码泄露的缺点,设计了保密型密码输入器。阐述了保密型密码输入器的工作原理,给出具体设计、计算机仿真。经过实验分析和计算机仿真,该电路能够最大限度地保护用户密码并且容易在工程中应用。     

基于PLC的矿井自动排水系统设计

采用PLC自动检测水井水位和其它参数,根据水井水位的高低、矿井用电信息等因素,建立数学模型,合理调度水泵运行,实现对矿井排水系统的全自动控制,可以达到节省人力资源和避峰填谷节能的目的,具有一定的推广应用价值.     

信息安全专业人才培养模式浅析

随着网络的普及和发展,信息的安全问题日益突出,使得加强信息安全学科、专业和培训机构体系化建设刻不容缓。信息安全人才的培养需要从培养目标、专业定位、理论教学、实践教学和实验室建设等各个方面综合考虑,制定合理可行的信息安全人才培养模式。     

基于DDE的组态王6．0与MATLAB数据通信在过程控制中的应用

为了充分发挥组态王6．0可视化界面功能与MATLAB强大的数值分析和图形绘制功能的各自优势,利用DDE技术,实现了组态王6．0与MATLAB的通信,开发了一种过程控制实验装置的实时监控系统。该监控系统具有实时监测、控制系统分析、控制系统设计等功能。应用实践表明,该实时监控系统运行可靠,操作方便,而且使得实时监控功能更加强大和灵活。     

Parameter estimation of Poisson mixture with automated model selection through BYY harmony learning

Finite mixture is widely used in the fields of information processing and data analysis. However, its model selection, i.e., the selection of components in the mixture for a given sample data set, has been still a rather difficult task. Recently, the Bayesian Ying-Yang (BYY) harmony learning has provided a new approach to the Gaussian mixture modeling with a favorite feature that model selection can be made automatically during parameter learning. In this paper, based on the same BYY harmony learning framework for finite mixture, we propose an adaptive gradient BYY learning algorithm for Poisson mixture with automated model selection. It is demonstrated well by the simulation experiments that this adaptive gradient BYY learning algorithm can automatically determine the number of actual Poisson components for a sample data set, with a good estimation of the parameters in the original or true mixture where the components are separated in a certain degree. Moreover, the adaptive gradient BYY learning algorithm is successfully applied to texture classification.     

Design and implementation of light-weight mobile multicast for fast MIPv6

Mobile multicast is a research hotspot and can provide many applications. Some mobile multicast schemes have been proposed, but most of them introduce new entities and study construction algorithms of the dynamic multicast delivery structure which is heavyweight for wireless devices. In this paper, we propose a light-weight mobile multicast (LMM) scheme for Fast Mobile IPv6 which reduces the redundant operational overhead by simplifying multicast listener discovery (MLD) proxying. The LMM scheme implements simplified MLD proxying function on home agent to reduce the complicated multicast routing protocol and modifies MLD host part function on mobile node to reduce the multicast membership messages interaction. In order to solve the tunnel convergence problem, LMM also introduces a multicast tunnel combination and reconstruction algorithm. We set up a test-bed to evaluate the performance of LMM, and compare it with other mobile multicast schemes. The experimental results show that LMM reduces the multicast disruption time at handover. Based on the experimental results, we analyze the cost of LMM, and the results show that it has lower protocol cost than other schemes.     

Defending passive worms in unstructured P2P networks based on healthy file dissemination

Propagation of passive worms in unstructured peer-to-peer (P2P) networks can result in significant damages and the loss of network security. This paper obtains the average delay for all peers in the entire transmitting process, and proposes a mathematical model for simulating unstructured P2P networks-based passive worms' propagation taking into account network throughput. According to the file popularity which follows the Zipf distribution, we propose a new healthy file dissemination-based defense strategy. Some parameters related to the propagation of passive worms are studied based on the proposed model. Finally, the simulation results verify the effectiveness of our model, which can provide an important guideline in the control of passive worms in unstructured P2P networks.     

存储受限异构机群系统的多目标串近似匹配并行算法

针对处理机节点具有不同的计算能力、通信延迟和存储容量的情形,考虑计算和通信启动开销,给定处理机分配顺序,基于可分负载理论,分别建立单层和两层树结构模型的存储受限异构机群系统的目标串最优分配线性规划模型,给出相应的目标串最优分配方法,并讨论了处理机最优分配顺序.实验结果表明,本文提出的基于最优分配方法的多目标串近似匹配并行算法优于平均分配算法,获得了较好的加速并具有良好的可扩展性.     

异步数据传输机制（ACM）的有限状态机建模分析

介绍异步数据传输机制(Asynchronous Communication Mechanism,ACM)的基本理论,采用有限状态机理论建立ACM的抽象数学模型,通过此模型分析研究了ACM的相关特性,以及亚稳态问题对于这种机制的影响.ACM在异步模块间的数据传输等方面的应用具有突出的优势.     

高光谱数据反演大气水汽研究

利用Hyperion高光谱数据,基于MODTRAN辐射传输模型进行模拟,分析表明943nm和953nm波段分别对干燥和湿润大气最敏感,是反演水汽的合适通道。提出针对Hyperion数据DCIBR方法反演大气总水汽含量,可以推广到环境与灾害监测预报小卫星星座超光谱数据的大气水汽反演。误差分析表明,大气散射作用以及地表反射率非线性变化,对DCIBR方法计算精度的影响比CIBR算法要小,大气模式引起的反演误差小于2%,通道的光谱特性是影响反演精度的重要因素。