A novel two-box search paradigm for query disambiguation

Precision-oriented search results such as those typically returned by the major search engines are vulnerable to issues of polysemy. When the same term refers to different things, the dominant sense is preferred in the rankings of search results. In this paper, we propose a novel two-box technique in the context of Web search that utilizes contextual terms provided by users for query disambiguation, making it possible to prefer other senses without altering the original query. A prototype system, Bobo, has been implemented. In Bobo, contextual terms are used to capture domain knowledge from users, help estimate relevance of search results, and route them towards a user-intended domain. A vast advantage of Bobo is that a wide range of domain knowledge can be effectively utilized, where helpful contextual terms do not even need to co-occur with query terms on any page. We have extensively evaluated the performance of Bobo on benchmark datasets that demonstrates the utility and effectiveness of our approach.     

Stabilization of a memristor-based chaotic system by intermittent control and fuzzy processing

This paper further investigates the problem of intermittent control of a memristor-based Chua’s oscillator and presents the oscillator as the T-S fuzzy model system. Based on Lyapunov stability theory, we design an intermittent controller to guarantee the stability of the chaotic system. Simulation results are presented to verify the effectiveness of the method.     

Tripartite entanglement of a spin star model with Dzialoshinski–Moriya interaction

The effect of Dzialoshinski–Moriya (DM) interaction on the tripartite thermal entanglement of a spin-star model with four spins has been analyzed by an entanglement measure of the tripartite negativity. Our results imply that the tripartite thermal entanglement can be established among the three surrounding parties which do not interact with each other but interact with the central party independently. From the results, we find that the strong DM interaction can enhance the tripartite thermal entanglement while the high temperature can shrink it. The effect of the inhomogeneous coupling on the tripartite thermal entanglement is also discussed.     

从设计软件中获取明细表信息技术研究

机械机电行业中大量使用设计软件制作的工程图纸,如何从这些图纸中有效和快速的获取其中的明细表信息是一个关键环节.本文针对目前明细表信息提取过程繁琐、效率不高的问题,通过对明细表信息提取方法的阐述,实现了从设计软件图纸中简洁、快速的读取信息的目标.在此基础上还可以把这些信息集成到一个软件中,以便实现和其他软件系统的集成.     

规则引擎在气象资料质量控制中的应用研究

为了提高气象观测资料的质量,为大气运动规律研究及各类气象业务系统提供可靠的数据来源,提出一种基于RETE算法和Drools规则引擎的气象观测资料质量控制方法.该方法能对各类字符编码的气象报文进行实时、准确的检查,并具有灵活的规则自定义与维护功能,以适应各类气象观测资料不断发展、变化的要求.该方法的应用,既继承了传统的历...     

一种低复杂度振动信号检测分类算法

低复杂度的振动信号常规峰度检测算法只能检测人员入侵行为,不能检测车辆入侵行为.根据噪声数据与车辆入侵数据特点,结合时间窗和马尔柯夫过程概念,提出了基于改进峰度的振动信号检测分类算法.该算法引入背景噪声的平均能量,利用包含比例因子P和异常突变阈值r的分段函数代替信号能量,可以避免毛刺信号干扰,检测并区分人员入侵和车辆入侵而不需要任何先验条件.试验表明,该算法具有复杂度低,资源要求低,漏警率低的特点.     

基于MonoRail、Castle和NiHbernate架构的Web开发框架研究

通过研究企业应用架构模式,提出基于MonoRail、Castle和NHibernate等开源框架的4层架构模型,总结出一种适合企业Web应用的通用方法：采用MonoRail来实现MVC模式;将Web应用中的业务逻辑交给Castle管理,相关组件和类通过Castle的配置文件联系起来;由NHibernate负责数据的持久化。实际的项目开发结果表明：整个系统与采用传统的方法所开发的系统相比较,有着更好的可维护性、可扩展性、可移植性和组件的可重用性。     

浅析P2P技术的安全问题与防御体系

P2P作为一种崭新的传输模式,不仅能提供隐私保护与匿名通信,还能提高网络的健壮性和抗毁性。然而,P2P技术也由于其自身存在的一些缺陷。文章在对P2P技术简要论述的基础上,重点分析目前P2P系统安全的各种威胁以及防御体系的建设。     

An application of MODIS data to snow cover monitoring in a pastoral area: A case study in Northern Xinjiang, China

Snow is an important land cover on the earth's surface. It is characterized by its changing nature. Monitoring snow cover extent plays a significant role in dynamic studies and prevention of snow-caused disasters in pastoral areas. Using NASA EOS Terra/MODIS snow cover products and in situ observation data during the four snow seasons from November 1 to March 31 of year 2001 to 2005 in northern Xinjiang area, the accuracy of MODIS snow cover mapping algorithm under varied snow depth and land cover types was analyzed. The overall accuracy of MODIS daily snow cover mapping algorithm in clear sky condition is high at 98.5%; snow agreement reaches 98.2%, and ranges from 77.8% to 100% over the 4-year period for individual sites. Snow depth (SD) is one of the major factors affecting the accuracy of MODIS snow cover maps. MODIS does not identify any snow for SD less than 0.5 cm. The overall accuracy increases with snow depth if SD is equal to or greater than 3 cm, and decreases for SD below 3 cm. Land cover has an important influence in the accuracy of MODIS snow cover maps. The use of MOD10A1 snow cover products is severely affected by cloud cover. The 8-day composite products of MOD10A2 can effectively minimize the effect of cloud cover in most cases. Cloud cover in excess of 10% occurs on 99% of the MOD10A1 products and 14.7% of the MOD10A2 products analyzed during the four snow seasons. User-defined multiple day composite images based on MOD10A1, with flexibilities of selecting composite period, starting and ending date and composite sequence of MOD10A1 products, have an advantage in effectively monitoring snow cover extent for regional snow-caused disasters in pastoral areas.