Numeric-based XML labeling schema by generalized dynamic method

Most efficient indeces and query techniques over XML (extensible markup language) data are based on a certain labeling scheme, which can quickly determine ancestor-descendant and parent-child relationship between two nodes. The current basic labeling schemes such as containment scheme and prefix scheme cannot avoid relabeling when XML documents are updated. After analyzing the essence of existing dynamic XML labels such as compact dynamic binary string (CDBS) and vector encoding, this paper gives a common unifying framework for the numeric-based generalized dynamic label, which can be implemented into a variety of dynamic labels according to the different user-defined value comparison methods. This paper also proposes a novel dynamic labeling scheme called radical sign label. Extensive experiments show that the radical sign label performs well for the initialization, insertion and query operations, and especially for skewed insertion where the storage cost of the radical sign label is better than that of former methods.     

一种关联多本体的科技奖励检索方法

现有的科技奖励检索都是基于关键词的匹配,忽略了对用户查询的语义理解。针对传统信息检索存在的问题以及结合当前面向实际应用的基于本体的语义检索的特点,提出一种关联多本体的科技奖励检索方法。通过对科技奖励项目的领域本体构建,对概念相似度计算方法的改进及关联多本体概念,使扩展词语更能表达用户检索意图。实验结果表明,该方法对比传统查询检索和单独本体扩展检索获得了更好的召回率和准确率。     

Automatic Multi-Document Summarization Based on Keyword Density and Sentence-Word Graphs

As a fundamental and effective tool for document understanding and organization,multi-document summarization enables better information services by creating concise and informative reports for large collections of documents.In this paper,we propose a sentence-word two layer graph algorithm combining with keyword density to generate the multi-document summarization,known as Graph Keywordρ.The traditional graph methods of multi-document summarization only consider the influence of sentence and word in all documents rather than individual documents.Therefore,we construct multiple word graph and extract right keywords in each document to modify the sentence graph and to improve the significance and richness of the summary.Meanwhile,because of the differences in the words importance in documents,we propose to use keyword density for the summaries to provide rich content while using a small number of words.The experiment results show that the Graph Keywordρ method outperforms the state of the art systems when tested on the Duc2004 data set.     

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交通气象智能信息服务系统是实现在互联网上更加方便、快捷、自动的搜索到用户所需要的信息的应用平台，该系统不同于现有的限制性搜索模式，首先结合分词系统，采用句型分析算法，并结合系统本身建立的信息检索规则库对用户的输入进行智能分析，然后通过平台内部建立的信息查询索引结构对相关信息进行综合，最终使用户得到更准确的信息。     

检索词上下文相关提问扩展算法

研究了利用相关词进行提问扩展的算法．该算法建立在检索词模糊聚类的基础上，聚类以检索词在文献中共同出现为标准．与提问中检索词相关的群集形成提问的上下文．群集中属于上下文的检索词可用于提问的扩展．实验表明该算法提高了检准率．     

Integrity Based Access Control Model for Multilevel XML Document

XML's increasing popularity highlights the security demand for XML documents. A mandatory access control model for XML document is presented on the basis of investigation of the function dependency of XML documents and discussion of the integrity properties of multilevel XML document. Then, the algorithms for decomposition/recovery multilevel XML document into/from single level document are given, and the manipulation rules for typical operations of XQuery and XUpdate QUERY, INSERT,UPDATE, and REMOVE, are elaborated. The multilevel XML document access model can meet the requirement of sensitive information processing application.     

确定OD矩阵和路段选择率的方法

OD矩阵推算和交通分配的结果是否符合实际,受所用分配模型、分配率P是否符合实际、路段流量是否经过守恒处理等因素影响。不同的分配参数会对分配率P产生不同的影响,从而影响分配结果,最终影响反推。采用对路段选择率和OD量同时推算的方法,尽量避免由于取值问题带来的误差,从而使推算结果更符合实际。     

交通网络最优路径搜索的蚁群算法

针对交通网络中最优路径搜索问题,本文提出一种基于蚁群算法的新的求解方法。首先从剖析最优路径问题的求解要求出发,探讨蚁群算法求解的优势,由于其并行性、正反馈、协作性等特点,能在较短的时间内发现较优解。然后,根据交通网络的特性,在基本蚁群算法的基础上,引入信息素限定规则,采用平滑机制进行局部更新,改进了全局更新模型等,使该算法更能满足交通系统最优路径的求解要求,降低了路径选择的复杂性,从而提高计算效率。对改进的模型进行的模拟实验和比较分析表明,该模型与算法的效果良好。该研究为交通系统最优路径问题开创了一条新的途径,同时显示出蚁群算法在交通分配中的良好使用前景。     

GLOBAL MEASURE ON IMAGE CONTENT

IntroductionContent- based image retrieval has been proposedto allow retrieval to be performed on the basis ofa variety of aspects of image content[1] .A chal-lenging problem arises with many imagedatabases,within which queries are posed via vi-sual or pictorial examples.A common visualquery to an image database system would involvefinding all images in the database which containa subimage that is similar to the query image.Such retrievals must be based on embedded con-tent features,such as sh…     

基于语义的自动文摘研究综述

基于语义的自动文摘方法能解决自动文摘处理中语言复杂性问题,在克服领域局限性的同时从本质上提高文摘的质量．常用语义模型包括统计主题模型扣语义知识模型．基于语义的自动文摘是对传统文摘技术基于语义模型的扩充,在自动文摘的预处理、文档转换、文档候选片段提取和文摘生成4个基本过程中使用各种语义分析方法．     

基于微观仿真的路段行程时间预测方法

实时路段行程时间预测是动态交通分配中路径选择的关键技术之一,采用微观交通仿真手段和指数平滑方法估计路段行程时间,在路段行程时间估计模型中考虑了交叉口排队延误、信号控制延误和交叉口内转向行程时间,提出了基于灰色等维新息GM(1,1)模型的路段行程时间预测方法,根据路段行程时间的历史数据和实时采集数据,滚动预测未来的路段行程时间,通过实例应用证明了模型有很好的预测精度.     

基于云物元综合评价理论下的高速公路诱导信息有效性研究

根据高速公路诱导信息的相关特性,从动态信息、静态信息、动态反馈信息三个维度建立了高速公路诱导信息有效性评价指标体系;将云理论与物元方法相结合,构建了云物元综合评价模型,实现了只能用自然语言值描述的定性概念的物元表示;最后通过实例运算,对该模型的合理性和可靠性进行了验证.评价结果表明:该模型在高速公路诱导信息有效性综合评价中具有较好的应用效果.     

法律文书语言的构成

法律文书是实用性很强并十分严肃的专用公务文书,有相当一部分要付诸实施,这就决定了法律文书的语言必须准确精炼。为此,法律文书在长期的法律实践领域中,在现代汉民族语言的基础上,形成了自身鲜明的用语特点。文书的制作,只有在明确法律文书用语的构成基础上,选择和使用最适合的语言材料,才能使我们在规范性的法律文书的制订以及非规范性的法律文书的制作过程中,达到最佳的表达效果。本文试从法律文书的词语构成和法律文书的句法特点方面对法律文书语言的构成特点进行阐述。     

基于TF-IDF-MP算法的新闻关键词提取研究

TF-IDF算法使用词频和逆文档频率来判断文章中词语的重要性,但类别区分效果不是很好。为提高分类效果,提出TFIDF-MP算法。首先对语料库中的文档进行段落标注,利用jieba分词工具分词并标注词性,然后根据特征词在单个文档中出现的次数与该特征词在语料库所有文档中出现的平均次数进行比较,采用改进后的Sigmoid函数调整特征词权值,同时根据相关文档的段落位置重要程度赋予不同的位置权重,根据特征词权重大小排序后用朴素贝叶斯分类器对文档进行分类。实验结果表明,TF-IDF-MP算法应用到新闻分类中,精确率、召回率和F1值等评价指标较TF-IDF及相关改进算法都得到较好的提升。     

工程图档管理软件的设计开发

介绍了工程图档管理系统在企业信息化建设中的作用，结合连续挤压设备的设计工作和图纸管理的实际，分析和设计了具体可行的实现方法，描述了用VB开发的工程图档管理系统的过程、功能及特点．系统除了实现了图纸库的建立和管理功能外，还增加了图纸的签入、签出功能，使得跟踪和管理图纸的版本得以实现．并且充分考虑了系统安全，建立了有效的用户权限管理功能模块．     

试论我国仲裁文书格式的统一化

本文根据《中华人民共和国仲裁法》的规定 ,对制订仲裁文书格式的必要性、制订仲裁文书的原则 ,以及仲裁文书的分类进行了分析论证。指出 ,制定统一的仲裁文书格式 ,是实施仲裁法、保证仲裁质量和当事人仲裁活动的法律效力的需要 ,是总结仲裁经验 ,积累档案资料的需要。提出制订仲裁文书应遵循依法制订、协调统一、简明便用的原则。阐述了制作仲裁文书的基本要求。     

高阶QAM信号的前馈神经网络相位修正水声信道盲均衡算法

提出了适用于复值信号的前馈神经网络盲均衡算法,并针对传统常模盲均衡算法不具备相位修正能力的缺点,对代价函数进行了改进,提出了基于前馈神经网络的修正常模盲均衡算法,同时针对算法起伏性大、收敛速度慢的问题,利用判决正方形方法进行了改进．仿真结果表明,在高阶QAM通信系统中,新的神经网络盲均衡算法不仅能够进行相位偏差的自修正,同时在算法的收敛能力、收敛速度以及稳健性方面都较传统神经网络常模算法更有优势．     

基于组合模型的港口集装箱吞吐量预测

根据港口集装箱吞吐量的历史数据,分别利用三次指数平滑法、灰色CM（1,1）模型以及组合预测方法对集装箱吞吐量进行探讨,有益于预测未来几年港口集装箱吞吐量。结果证明：组合预测模型融合了前两种预测方法的优点．其平均绝对误差、平均相对误差绝对值都小于单独用三次指数平滑法或GM（1,1）模型时的平均绝对误差、平均相对误差绝对值,达到最优的精度等级。     

Welded joint fatigue reliability analysis on bogie frame of high-speed electric multiple unit

A new method for welded joint fatigue reliability analysis on bogie frame of high-speed electric multiple unit (EMU) is proposed according to the International Union of Railways (UIC) standard, the Britain Standard Institute (BSI) standard and the Miner rule. Firstly, the fatigue calculation condition is loaded according to the UIC standard. The welded joint damage ratio is calculated by the BSI standard. Fatigue reliability analysis is conducted for a typical welded joint based on probabilistic design system (PDS) module in software ANSYS 14.0. In the system, the automatic program is prepared by ANSYS parametric design language (APDL) to calculate the welded joint fatigue damage ratio. Meantime, the relationship between the input variables and the output response is fitted by the response surface (RS) method. Then, the RS method is improved by the orthogonal design. Specifically, the selecting process optimization for the RS method based on the orthogonal design is conducted to improve the fitting efficiency of the RS method. Finally, a program of the automatic analysis documents is generated by Microsoft foundation class (MFC) technique. Through the self-defined interface, the researchers can easily import the automatic generation of the orthogonal table into the PDS module and analyze the fatigue reliability. Results show that the improved RS method can better fit the RS which covers the sample area, and the distribution law agrees well with the actual situation. At the same time, the improved RS method reduces the calculation time.