新型云计算服务器的设计与实现

采用传统服务器组成云计算数据中心存在体积大、功耗高、效能低等问题。为此,设计并实现一种新型云计算服务器。对该服务器的关键技术进行阐述,包括云处理器、3D-torus网络拓扑结构、负载均衡策略、硬件虚拟化等技术。与传统服务器相比,该新型云计算服务器具有体积较小、功耗低等特点。     

基于词项扩展的XML信息检索反馈技术

为提高XML信息检索的查询准确率,提出一种基于词项扩展的XML信息检索反馈技术.利用词项所在节点的语义权重、词项与查询词间的相邻频度、共现程度,评估词项权重并排序,取权重较大的词项对初始检索词进行扩展,给出各因子的计算方法.在Wikipedia2009数据集上的实验结果表明,扩展后的查询准确率较高.     

On properties not inherited by monoids from their Schützenberger groups

We give an example of a monoid with finitely many left and right ideals, all of whose Schützenberger groups are presentable by finite complete rewriting systems, and so each have finite derivation type, but such that the monoid itself does not have finite derivation type, and therefore does not admit a presentation by a finite complete rewriting system. The example also serves as a counterexample to several other natural questions regarding complete rewriting systems and finite derivation type. Specifically it allows us to construct two finitely generated monoids M and N with isometric Cayley graphs, where N has finite derivation type (respectively, admits a presentation by a finite complete rewriting system) but M does not. This contrasts with the case of finitely generated groups for which finite derivation type is known to be a quasi-isometry invariant. The same example is also used to show that neither of these two properties is preserved under finite Green index extensions.     

M-estimator with asymmetric influence function for estimating the Burr type III parameters with outliers

The Burr type III distribution allows for a wider region for the skewness and kurtosis plane, which covers several distributions including the log-logistic, and the Weibull and Burr type XII distributions. However, outliers may occur in the data set. The robust regression method such as an M-estimator with symmetric influence function has been successfully used to diminish the effect of outliers on statistical inference. However, when the data distribution is asymmetric, these methods yield biased estimators. We present an M-estimator with asymmetric influence function (AM-estimator) based on the quantile function of the Burr type III distribution to estimate the parameters for complete data with outliers. The simulation results show that the M-estimator with asymmetric influence function generally outperforms the maximum likelihood and traditional M-estimator methods in terms of the bias and root mean square errors. One real example is used to demonstrate the performance of our proposed method.     

Further results of recursive evaluation for compound distribution with the severity distribution of mixed type

Yang et al. [J.P. Yang, S.H. Cheng, Q. Wu, Recursive equations for compound distribution with the severity distribution of the mixed type, Science in China Series A 48 (2005) 594-609] investigated a recursive procedure for a kind of compound distributions with the number of claims belonging to (a,b)-family and the severity distribution of the mixed type. In this paper, we extend their results by assuming that the claim number belongs to a larger class. As applications, the excess-of-loss reinsurance treaty is discussed and concrete examples are considered in some detail.     

Halpern-type iterations for strongly relatively nonexpansive mappings in Banach spaces

In this paper, we note that the main convergence theorem in Zhang et al. (2011) [21] is incorrect and we prove a correction. We also modify Halpern’s iteration for finding a fixed point of a strongly relatively nonexpansive mapping in a Banach space. Consequently, two strong convergence theorems for a relatively nonexpansive mapping and for a mapping of firmly nonexpansive type are deduced. Using the concept of duality theorems, we obtain analogue results for strongly generalized nonexpansive mappings and for mappings of firmly generalized nonexpansive type. In addition, we study two strong convergence theorems concerning two types of resolvents of a maximal monotone operator in a Banach space.     

基于序列分析的僵尸网络检测模型

现有的IRC botnet检测技术不适合控制命令交互不频繁的botnet检测。为了实现小规模隐秘僵尸网络的检测,提出了一种基于序列分析的僵尸网络检测模型,对现有的被动检测技术进行补充。讨论了几种探测技术和检测算法,根据客户端响应类型选择检测算法,分析了平均检测轮数,只须观察少量的命令控制交互,能够对单个或多个IRC僵尸主机进行检测。实验结果表明,在保证误报率和漏报率的前提下该方法能在预定检测轮数内完成判定。     

改进的基于内容的文件类型识别算法

在现有基于内容的文件类型识别算法基础上,针对统计特征提取方面存在的问题,采用定长和变长窗口对文件二进制内容进行划分,提取文件的统计特征,并提出将特征选择应用于文件类型识别,结合特征的广度和稳定度设计出一种特征选择评估函数选择标志特征,从而建立文件类型模型,以此为标准识别文件类型.该算法不依靠特定文件类型的结构和关键标识...     

H.264/AVC帧间预测编码模式快速选择算法

通过对H.264/AVC帧间预测模式选择的实验观测,发现最近采用的SKIP/DIRECT模式或者16×16宏块模式,和当前块的选择模式有着空间和时间上的关联。依据这一现象,提出了一种快速的帧间自适应宏块模式选择算法。从验证模型JM7.6上的实验结果来看,在保持图像编码质量,视频编码比特没有太大增加的情况下,该算法对变化不是很剧烈的视频序列,可节省近50%的编码时间,对变化较为剧烈的视频序列,亦可节省近10%的编码时间,降低了原标准在进行帧间预测时的复杂度,提高了编码器的工作效率。     

一种面向主题的关键词查询扩展方法

提出一种基于局部统计和语义扩展相结合,面向主题的关键词查询扩展方法。该方法通过对给定主题的初始关键词搜索反馈网页进行分析,采用TF*PSF语义加权方法计算主题候选词的权重来进一步筛选主题关键词。在此基础上,设计了面向Web的主题关键词迭代查询扩展算法,采用主题关键词的组合查询策略,迭代扩展出主题的关键词集合。实验证明该方法是有效的。