测控软件系统检测技术研究

随着计算机测控系统复杂程序和性能的提高,其面向的应用越来越复杂,软件设计技术和编码技术很难跟上硬件技术的发展和应用需求的快速拓展,开发具有可靠性和容错性的软件是很困难的.软件检错技术包括调试时的软件探测技术和正常运行时的监测技术,这样能够缩短调试时间,对软件错误进行实时监控和定位,可以用较少的代价解决软件代码的故障问题.     

基于Struts和Hibernate的小型门店MIS的设计与实现

通过对一般小型门店业务流程的调研和现有的一些基于struts和Hibemate技术上的进销存系统上的分析,设计和实现了一个小型门店销售系统.在整体架构方面增加了多层设计模式,在数据库方面运用了一个主子表的方法.设计后,该系统效率提高、易于维护、便于扩展,大大减少了数据冗余,用户界面也更加友好.     

一种内网端点安全系统的设计

当前很多企业部署了内部网络,并将内网作为信息发布和共享的平台,确保内网安全和端点安全的要求与日俱增,随着攻击工具和手段的日趋复杂多样,传统的防范手段已不能保证内网安全和端点安全。文章针对端点安全,研究了对非安全网络端点的识别和隔离方法,提出了一种内网端点安全系统的设计方案,基于现有网络设备和标准协议,可实现入侵检测和访问控制的功能,成本较低、结构简单、管理方便。     

C++ builder增强图像质量的若干方法

介绍了增强图像质量的若干方法,包括图像平滑处理、图像锐化处理以及Windows API函数SetStretchBltMode的调用,阐述了其原理、算法及该原理在Windows平台上以C++ Builder为开发工具的具体程序实现.     

Dynamical characteristics of software trustworthiness and their evolutionary complexity

Developing trusted softwares has become an important trend and a natural choice in the development of software technology and applications, and software trustworthiness modeling has become a prerequisite and necessary means. To discuss and explain the basic scientific problems in software trustworthiness and to establish theoretical foundations for software trustworthiness measurement, combining the ideas of dynamical system study, this paper studies evolutionary laws of software trustworthiness and the dynamical mechanism under the effect of various internal and external factors, and proposes dynamical models for software trustworthiness, thus, software trustworthiness can be considered as the statistical characteristics of behaviors of software systems in the dynamical and open environment. By analyzing two simple examples, the paper explains the relationship between the limit evolutionary behaviors of software trustworthiness attributes and dynamical system characteristics, and interprets the dynamical characteristics of software trustworthiness and their evolutionary complexity. Supported partially by the National Basic Research Program of China (Grant No. 2005CB321900) and the National Natural Science Foundation of China (Grant No. 60473091)     

Network traffic classification based on ensemble learning and co-training

Classification of network traffic is the essential step for many network researches. However,with the rapid evolution of Internet applications the effectiveness of the port-based or payload-based identifi-cation approaches has been greatly diminished in recent years. And many researchers begin to turn their attentions to an alternative machine learning based method. This paper presents a novel machine learning-based classification model,which combines ensemble learning paradigm with co-training tech-niques. Compared to previous approaches,most of which only employed single classifier,multiple clas-sifiers and semi-supervised learning are applied in our method and it mainly helps to overcome three shortcomings:limited flow accuracy rate,weak adaptability and huge demand of labeled training set. In this paper,statistical characteristics of IP flows are extracted from the packet level traces to establish the feature set,then the classification model is created and tested and the empirical results prove its feasibility and effectiveness.     

Java程序到类图和AISD的转换方法研究

论述了Java类、UML类图和过程蓝图AISD的基本概念,详细介绍了Java程序和类图、抽象实现结构图的映射关系及转换方法,使抽象模型能全面地表达所对应的程序代码.     

高层次数据流的多电压低功耗综合方法

为了有效地进行算法行为描述到寄存器传输级结构描述的转换,提出一种同时考虑功能单元功耗、互连功耗和电压转换功耗的模型和基于网络流的低功耗设计方法.首先对给定的数据流图进行单电压高层次综合,然后对单电压综合结果迭代地进行多电压调整;提取每次迭代时需要调整的网络流子图,对该子图运行最小费用最大流增量算法.该方法充分利用前面迭代中得到的优化解,避免了对整个网络流的重复计算.实验结果表明,文中方法在互连功耗、电压转换功耗和总功耗等方面均有较大优化.     

CAD模型表面区域分割方法

三维模型表面区域分割技术在形状分析,尤其是局部形状分析中具有重要作用,传统的表面分割方法主要针对网格模型,而机械工程中的CAD模型通常用B-rep表达.提出一种B-rep形式的CAD模型表面区域分割方法,将模型表面划分为局部凸区域、凹区域和平区域的组合,并使得分割后的区域数量最少.为提高计算效率,提出一种二步法:首先在模型面的局部凸凹性分析的基础上,快速地将模型表面分割成初始的凸区域、凹区域和平区域;然后通过区域合并的方法对分割后的区域进行组合优化,得到一个最优的分割结果.实验结果证明,该方法能有效地分割模型的表面区域.