基于Agent的网络新闻信息管理系统功能分析

该文从网络新闻信息管理现状出发,结合Agent技术的特性,通过对基于Agent的信息管理系统设计理念的分析,总结并归纳了基于使用者角度的Agent网络新闻信息管理系统三大功能需求;随之,就系统的四个功能模块进行了详细阐述,最后进行系统的兼容性分析。     

Active time scheduling for rechargeable sensor networks

Recent progress in energy harvesting technologies made it possible to build sensor networks with rechargeable nodes which target an indefinitely long operation. In these networks, the goal of energy management is to allocate the available energy such that the important performance metrics, such as the number of detected threats, are maximized. As the harvested energy is not sufficient for continuous operation, the scheduling of the active and inactive time is one of the main components of energy management. The active time scheduling protocols need to maintain the energy equilibrium of the nodes, while considering the uncertainties of the energy income, which is strongly influenced by the weather, and the energy expenditures, which are dependent on the behavior of the targets. In this paper, we describe and experimentally compare three active time scheduling protocols: (a) static active time, (b) dynamic active time based on a multi-parameter heuristic and (c) utility-based uniform sensing. We show that protocols which take into consideration the probabilistic models of the energy income and expenditure and can dynamically adapt to changes in the environment, can provide a significant performance advantage.     

ID3算法在入侵检测系统中的研究与改进

ID3算法是数据挖掘中经典的分类算法。它往往选择取值较多的属性进行分裂训练集,而选取的这个属性并非是最优的。针对这一缺点,提出了一种改进的ID3算法。通过改进信息增益公式,选取最优的划分属性,对采集的数据进行分类处理,建立决策树,这样的决策树包括较少的分支,并且树的高度较低。改进后的算法结合模式匹配算法来检测是否有入侵行为发生。通过实验验证了该算法减少了误报率和漏报率,并且比修改前在速度上有所提高,空间消耗有所减少。     

“编译原理”课程的研讨式教学初探

"编译原理"是计算机专业的核心理论课程之一,兼具较强的理论性和实践性。针对实际教学过程中出现的教难、学难、实验更难的现象,本文阐述了研讨式教学模式在该课程教学中的应用。实践证明,该模式的实施不仅提高了学生对课程知识的掌握程度,而且提高了学生提出问题、分析问题、解决问题的能力。     

．NET复合控件在科研业绩管理系统中的应用研究

在科研业绩管理系统中,成员信息的添加是各类科研业绩录人与维护模块中必不可少的功能,但是会面临姓名写法不规范、重名等一些实际问题。文章提出了复合控件PersonList的设计方案,并围绕提取数据和同步修改两个关键的应用问题展开深入讨论,给出了明确的算法。经实际应用表明,该方案能够显著提高成员信息录入的效率和准确性。     

GF(3)上一类新型自缩控序列

设计GF(3)上一类新型的钟控模型,它由累积函数和钟控生成器复合生成。讨论这种模型所生成序列的数据率、周期、线性复杂度、1-重量复杂度等密码学性质。分析结果表明,生成的新序列具有数据率使用高、周期和线性复杂度较大等伪随机性,且该模型易于实现和推广,适合在通信密码中应用。     

Self-adaptive interval type-2 neural fuzzy network control for PMLSM drives

This paper proposes a self-adaptive interval type-2 neural fuzzy network (SAIT2NFN) control system for the high-precision motion control of permanent magnet linear synchronous motor (PMLSM) drives. The antecedent parts in the SAIT2NFN use interval type-2 fuzzy sets to handle uncertainties in PMLSM drives, including payload variation, external disturbance, and sense noise. The SAIT2NFN is firstly trained to model the inverse dynamics of PMLSM through concurrent structure and parameter learning. The fuzzy rules in the SAIT2NFN can be generated automatically by using online clustering algorithm to obtain a suitable-sized network structure, and a back propagation is proposed to adjust all network parameters. Then, a robust SAIT2NFN inverse control system that consists of the SAIT2NFN and an error-feedback controller is proposed to control the PMLSM drive in a changing environment. Moreover, the Kalman filtering algorithm with a dead zone is derived using Lyapunov stability theorem for online fine-tuning all network parameters to guarantee the convergence of the SAIT2NFN. Experimental results show that the proposed SAIT2NFN control system achieves the best tracking performance in comparison with type-1 NFN control systems.     

基于路径表达式的XML索引查询技术

为减少结构连接操作时对输入数据大小的依赖、在大部分实际情况下提高算法效率,研究了当前结构连接算法产生大量中间结果而导致过多连接次数的问题,提出一种新的基于结构摘要的索引技术。对路径树和XML树分别编码,使用少量预先计算的路径信息。在结构连接时执行交叉操作,该操作由位图在较短时间内实现,并且只返回结点所在路径的位置信息,减少了I/O次数。实验结果表明了其具有较高的查询效率,并且查询时间不依赖于输入数据的规模。     

H.264运动估计算法在心脏影像中的应用

介绍了H.264中运动估计的原理,讨论了4种经典运动估计算法应用于心脏造影影像压缩和传输时可能存在的问题。从提高心脏造影影像的压缩率和重建图像率失真性两方面,对比分析了上述4种运动估计算法,并在JM测试模型上进行了实现。临床数据测试实验结果表明,UMHexagonS算法在高压缩率和较好率失真性两方面达到了均衡,适用于心脏造影影像的压缩和传输。