基于梯度的结构相似度的图像质量评价方法

虽然基于结构信息的图像质量评价方法——结构相似度（SSIM）模型结构简单、评价性能优于峰值信噪比（PSNR）或均方误差（MSE）模型，但SSIM模型不能较好地评价严重模糊的降质图像．文中提出了一种基于梯度的结构相似度（GSSIM）图像质量评价方法，该方法将梯度作为图像的主要结构信息．实验结果表明，GSSIM模型比SSIM和PSNR（MSE）模型更符合人眼视觉系统特性，能较好地评价模糊图像的质量．     

不完全状态差表构成规律

根据不完全封闭n端输出顺序时序机的各种定义,建立了位状态差、序状态差、表状态差运算规律,构成了不完全状态差表及自状态差表,给出了不完全状态差表的一系列重要说明。不完全状态差表在海量数据块检测,模式识别,自然语言理解等方面有广泛应用。自状态差表可成功直观简明精确定不完全封闭n端输出顺序时序机隐式软故障。     

基于语义的Web服务发现机制的研究

在对Web服务和领域本体研究的基础上,把语义网和Web服务相结合,提出了一个售票领域本体模型,用本体中丰富的关系表达传统Web服务所不能表达的语义,依据Web服务描述本身的特点,对基于语义的Web服务相似度计算方法进行了研究,提出了一种不同于关键字匹配的基于语义距离的Web服务匹配算法。     

Design and Implementation of FAQ Automatic Return System Based on Similarity Computation

FAQ （frequently asked question） is widely used on the Internet, but most FAQ＇s asking and answering are not automatic. This paper introduces the design and imple mentation of a FAQ automatic return system based on semantic similarity computation, including computation model choo sing, FAQ characters analyzing, FAQ data formal expressing, feature vector indexing, and weight computing and so on. According to FAQ features of sentence length short, two mapping, strong domain characteristics etc. Vector Space Model with special semantic process was selected in system, and corresponding algorithm of similarity computation was proposed too. Experiment shows that the system has a good performance for high frequent and common questions.     

Selections of data preprocessing methods and similarity metrics for gene cluster analysis

Clustering is one of the major exploratory techniques for gene expression data analysis. Only with suitable similarity metrics and when datasets are properly preprocessed, can results of high quality be obtained in cluster analysis. In this study, gene expression datasets with external evaluation criteria were preprocessed as normalization by line, normalization by column or logarithm transformation by base-2, and were subsequently clustered by hierarchical clustering, k-means clustering and self-organizing maps (SOMs) with Pearson correlation coefficient or Euclidean distance as similarity metric. Finally, the quality of clusters was evaluated by adjusted Rand index. The results illustrate that k-means clustering and SOMs have distinct advantages over hierarchical clustering in gene clustering, and SOMs are a bit better than k-means when randomly initialized. It also shows that hierarchical clustering prefers Pearson correlation coefficient as similarity metric and dataset normalized by line. Meanwhile, k-means clustering and SOMs can produce better clusters with Euclidean distance and logarithm transformed datasets. These results will afford valuable reference to the implementation of gene expression cluster analysis.     

水垫塘底板模型相似准则和模拟要点

介绍了新型消能工水垫塘和水垫塘底板上的水动力荷载,分析并总结了模型中研究水垫塘底板的相似准则和模拟要点。     

Content-based Image Retrieval Using Color Histogram

IntroductionIn these years , with the quick development ofmulti media and computer networks ,the increased numberof digital i mages is astonishing .In many application fieldssuch as biomedicine , military , education, commerce ,entertainment , manufacturing , cri me prevention andWorld Wide Web searing ,large volume of data appear ini mage for m. This envisages the need for fast and effectivei mage retrieval mechanis ms in an efficient manner . Thetraditional text-based technique annotates t…     

基于特征融合的安全审计分析

分析了传统的安全审计分析方法，发现传统方法没有利用主机日志和网络数据特征之间的联系。通过分析主机日志得到可疑安全事件，再进一步融合主机日志和网络数据的有关特征作为一个整体进行分析。比较当前安全事件与正常历史事件、异常历史事件的相似度，审计出异常可疑事件。实验证明了该方法的可行性和有效性。     

矿物资源资产案例估价方法研究

针对收益现值估价法无法合理地估价已探明但未开发或开发时间很短的矿物资源资产这一缺陷。本文综合应用案例决策思想和现代统计理论对矿物资源资产案例估价法进行了研究。首先对属性指标、标的资产、案例资产及案例相似度等关键概念进行了界定,提出了剔除非资源性资产对矿物资源资产价格影响的公式;然后建立了属性强度函数未知情况下案例相似度模型,该模型充分考虑了估价者要加强更相似案例之作用的偏好;最后通过应用实例证明该方法简单易行,只要案例选取得当,估价结果的可信度较高。     

一种处理力学问题的简便方法

利用朗道《力学》提供的一种方法 ,在对运动方程不求解的情况下 ,得出运动性质的某些重要结论 .