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2010 2nd International Workshop on Database Technology and Applications最新文献

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Reliability Evaluation of Multi-State Two-Stage Directed Network Systems by Using Combined Stochastic Process Methods and Universal Generating Function 结合随机过程法和通用生成函数的多状态两阶段有向网络系统可靠性评估
Pub Date : 2010-12-06 DOI: 10.1109/DBTA.2010.5658967
Haizhen Sun, Liying Wang
Multi-state two-stage directed network systems can be used to model the performance of pipeline systems such as water supply network,gas supply network,oil transformation network etc..To overcome the"dimension damnation"-huge number of system states and reduce the complexity of computation in the process of reliability evaluation,a method which is based on the combination of the universal generating function (UGF) technique and random process methods is presented.A numerical example is given to illustrate the proposed method.
多状态两级定向网络系统可用于供水、供气、换油等管道系统的性能建模,为克服系统状态数多的“维数限制”,降低可靠性评估过程中的计算复杂度,提出了一种基于通用生成函数(UGF)技术与随机过程方法相结合的可靠性评估方法。最后给出了一个数值算例。
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引用次数: 1
A New Method of Selecting Pivot Features for Structural Correspondence Learning in Domain Adaptive Sentiment Analysis 领域自适应情感分析中结构对应学习的轴心特征选择新方法
Pub Date : 2010-12-06 DOI: 10.1109/DBTA.2010.5658932
Yanbo Zhang, Y. Qu, Junsan Zhang
In recent years,Structural Correspondence Learning (SCL) is becoming one of the most important techniques for domain adaptation in natural language processing.T-SCL method for sentiment classification selects high frequency features which don't have enough ability to discriminate positive instances from negative instances.Therefore, FisherA&IG-SCL method,a new method for selecting pivot features, is proposed. This method makes pivot features selected by Criterion function and Information Gain more discriminative and descriptive. The experimental results show that proposed FisherA&IG-SCL method can produce much better performance.
近年来,结构对应学习(SCL)已成为自然语言处理领域适应的重要技术之一。情感分类的T-SCL方法选择高频特征,这些特征没有足够的能力区分正面和负面实例。为此,提出了一种新的选择枢轴特征的方法——fisher & ig - scl方法。该方法使准则函数和信息增益所选择的枢轴特征具有更强的判别性和描述性。实验结果表明,所提出的fisher & ig - scl方法可以获得更好的性能。
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引用次数: 2
Storing and Indexing RDF Data in a Column-Oriented DBMS 在面向列的DBMS中存储和索引RDF数据
Pub Date : 2010-12-06 DOI: 10.1109/DBTA.2010.5659025
Xin Wang, Shuyi Wang, Pufeng Du, Zhiyong Feng
Effcient RDF data management is an essential factor in realizing the Semantic Web vision. However, most existing RDF storage schemes based on row-store relational databases are constrained in terms of efficiency and scalability. In this paper, we propose an RDF storage scheme that implements sextuple indexing for RDF triples using a column-oriented DBMS. To evaluate the performance of our approach, large-scale datasets upto 13 million triples are generated and benchmark queries that cover important RDF join patterns are devised. The experimental results show that our approach outperforms the row-oriented DBMS approach by upto an order of magnitude and is even competitive to the best state-of-the-art native RDF store.
高效的RDF数据管理是实现语义Web愿景的关键因素。然而,大多数现有的基于行存储关系数据库的RDF存储模式在效率和可伸缩性方面受到限制。在本文中,我们提出了一种RDF存储方案,该方案使用面向列的DBMS实现RDF三元组的六元索引。为了评估我们的方法的性能,我们生成了多达1300万个三元组的大规模数据集,并设计了涵盖重要RDF连接模式的基准查询。实验结果表明,我们的方法比面向行DBMS方法的性能高出一个数量级,甚至可以与最先进的原生RDF存储相媲美。
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引用次数: 8
Towards Natural Language Processing: A Well-Formed Substring Table Approach to Understanding Garden Path Sentence 走向自然语言处理:一种理解花园小径句的格式良好的子串表方法
Pub Date : 2010-12-06 DOI: 10.1109/DBTA.2010.5659102
Jia-li Du, P. Yu
As computers have become more affordable and accessible, the theories and techniques of natural language processing (NLP) are increasingly used as a means for automatically decoding natural language. Well-formed substring table (WFST) is an efficient parsing algorithm used to decode natural language. The form of (START, FINISH, LABELFOUND. TO FIND) is accepted by system as its basic model, and its obvious decoding of natural language can be shown by chart parsing. GP sentence has a special syntactic structure which can bring processing breakdown and backtracking during the automatic decoding. By analyzing the GP sentence on the basis of the techniques of WFST, we reach the conclusions that WFST method is helpful for readers to understand GP sentence which has a complex syntactic structure, that it is necessary for an effective NLP system to have access to syntactic, cognitive and semantic knowledge, and that the integration between machine techniques and human being cognition is essential for system to decode natural language.
随着计算机变得越来越便宜和容易使用,自然语言处理(NLP)的理论和技术越来越多地被用作自动解码自然语言的手段。格式良好子字符串表(WFST)是一种用于自然语言解码的高效解析算法。(START, FINISH, LABEL / FOUND)的形式。TO FIND)被系统接受为其基本模型,其对自然语言的明显解码可以通过图解析来体现。GP句具有特殊的句法结构,在自动解码过程中会造成处理中断和回溯。通过对基于WFST技术的GP句子进行分析,得出了WFST方法有助于读者理解具有复杂句法结构的GP句子,有效的NLP系统需要获得句法、认知和语义知识,机器技术与人类认知的融合是系统解码自然语言的必要条件。
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引用次数: 4
Seismic Prediction Technology for Carbonate Karst Reservoir in Weixi'nan Sag of Beibu Gulf Basin 北部湾盆地渭西南凹陷碳酸盐岩岩溶储层地震预测技术
Pub Date : 2010-12-06 DOI: 10.1109/DBTA.2010.5658929
Xiao Jun, Zhu Bei
The carbonate karst reservoir with severe heterogeneity is one of the most attractive research objects in petroleum geology and petroleum geophysics. The Carboniferous carbonate karst reservoir in Weixi'nan sag has been studied by using the prediction technology of seismic attribute in this paper, and four major research results are emphasized: It is believed that researches on the carbonate karst reservoir are significant both for theoretical and exploration practice.
非均质性严重的碳酸盐岩岩溶储层是石油地质和石油地球物理领域最具吸引力的研究对象之一。本文利用地震属性预测技术对渭南凹陷石炭系碳酸盐岩岩溶储层进行了研究,重点介绍了4项主要研究成果:认为碳酸盐岩岩溶储层的研究具有重要的理论意义和勘探实践意义。
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引用次数: 0
Verifying the Completeness of Query Results on Multi-Dimensional Data 验证多维数据查询结果的完整性
Pub Date : 2010-12-06 DOI: 10.1109/DBTA.2010.5658983
Mingyan Teng
Security issues are quite important in applications of Database As a Service (DAS) where data are published to the untrusted service providers by data owners. This paper is to address the problem of verifying the completeness of query results generated from the untrusted service providers in DAS applications. Existing studies on completeness verification of query results are focused on one dimensional data, which cannot be easily extended to multi-dimensional data. In this paper, we propose a novel approach of completeness verification on multidimensional data, namely neighborhood-based completeness verification (NBCV) scheme. It works by modelling and exploiting the contiguity among multi-dimensional data. Extensive experiments were conducted, and the results show the effectiveness of the proposed scheme in completeness verification of query results on multi-dimensional data.
在数据库即服务(DAS)的应用程序中,安全问题非常重要,其中数据由数据所有者向不受信任的服务提供者发布。本文旨在解决验证DAS应用程序中由不受信任的服务提供者生成的查询结果的完整性问题。现有的查询结果完整性验证研究主要集中在一维数据上,不易扩展到多维数据。本文提出了一种新的多维数据完整性验证方法,即基于邻域的完整性验证(NBCV)方案。它通过建模和利用多维数据之间的连续性来工作。实验结果表明,该方法在多维数据查询结果的完整性验证方面是有效的。
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引用次数: 1
An Improved ID3 Algorithm Based on Attribute Importance-Weighted 基于属性重要性加权的改进ID3算法
Pub Date : 2010-12-06 DOI: 10.1109/DBTA.2010.5659010
Hongwu Luo, Yongjie Chen, Wendong Zhang
For the problems of large computational complexity and splitting attribute selection inclining to choose the attribute which has many values in ID3 algorithm,this paper presents an improved algorithm based on the Information Entropy and Attribute Weights.In the improved algorithm,it has been combined with the Taylor's theorem and Attribute Similarity theorem to simplify the calculation of Entropy and determine the attribute importance weights,and an amended information gain is accomplished as the attribute selection criteria.The results of experiment comparison proved that the algorithm can improve the speed of classification, significantly improve the accuracy of rules, and derive more practical rules for applications.
针对ID3算法计算量大、拆分属性选择倾向于选择具有多个值的属性的问题,提出了一种基于信息熵和属性权重的改进算法。在改进算法中,结合泰勒定理和属性相似定理简化了熵的计算和属性重要度的确定,并完成了修正的信息增益作为属性选择的准则。实验对比结果证明,该算法可以提高分类速度,显著提高规则的准确率,并推导出更实用的规则用于应用。
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引用次数: 10
Word-Lattice Parsing Parallel Algorithm 词格解析并行算法
Pub Date : 2010-12-06 DOI: 10.1109/DBTA.2010.5658930
Guodong Shi, Yuwan Gu, Yuqiang Sun, Xiaokang Wang, A. Yin
In this paper,it is researched thoroughly for CYK-algorithm (Cocke - Younger- Kasami)of parsing normal sentence, in particular,it is analyzed thoroughly for the generating algorithm about initial CYK-table of word-lattice structure,and CYK-algorithm is improved by the attribute of span of time sequence after word-lattice distortion,a kind of word-lattice parsing algorithm based on improved CYK-algorithm is proposed. Structure pattern of independent model is proposed in term of the feature of program structure.At last,the algorithm's feasibility,running process and results,which consist with the results of theoretical analysis,are explained through an instance.
本文对正常句解析的cyk算法(Cocke - Younger- Kasami)进行了深入的研究,特别是对词格结构初始cyk表的生成算法进行了深入的分析,并利用词格失真后时间序列跨度的属性对cyk算法进行了改进,提出了一种基于改进cyk算法的词格解析算法。针对程序结构的特点,提出了独立模型的结构模式。最后通过实例说明了该算法的可行性、运行过程和结果,与理论分析结果一致。
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引用次数: 1
Modeling and Space-Time Correlation Analysis of MIMO Channel MIMO信道建模与空时相关分析
Pub Date : 2010-12-06 DOI: 10.1109/DBTA.2010.5658953
Aihua Wang, Haimin Zhang, Jihua Lu
We set up the uplink MIMO channel model between base station (BS) and mobile station (MS). Several parameters have been considered, including the distinguishable paths, the indistinguishable paths, angular spread, antenna polarization, linear receiving antenna array and other factors. Secondly, this paper simulates the space statistical properties of MIMO antenna channel by MATLAB. Analysis results show that, antenna correlation coefficient in MIMO channel increases with the increasing average arrival angle, decrease with the increasing antenna interval and angular expansion. Besides, this paper has also added the time factor into the correlation coefficient of antenna, and draw its three-dimensional space-time map, this can describe the channel change trend more intuitional .
建立了基站(BS)和移动基站(MS)之间的上行MIMO信道模型。考虑了可分辨路径、不可分辨路径、角扩展、天线极化、线性接收天线阵列等因素。其次,利用MATLAB仿真了MIMO天线信道的空间统计特性。分析结果表明,MIMO信道中天线相关系数随平均到达角的增大而增大,随天线间距和角度扩展的增大而减小。此外,本文还在天线的相关系数中加入了时间因素,绘制了其三维时空图,可以更直观地描述信道变化趋势。
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引用次数: 0
Multisensor Estimation Fusion for Wireless Networks with Mixed Data Delays 混合数据延迟无线网络的多传感器估计融合
Pub Date : 2010-12-06 DOI: 10.1109/DBTA.2010.5659028
Yuepeng Shi, Aiping Cui, Quanbo Ge
Motivated by the extensive application of sensor networks in the multisensor target tracking systems, the problem of data fusion with mixed time delays which includes short timedelay and long time-delay is considered in this paper. In order to overcome several primary problems occurred in the existing fusion methods based on the "Out-Of-Sequence" Measurements (OOSMs), such as high investment for tracking systems, huge computational complexity and bad real-time performance and so forth, a universal linear predict estimate weighted fusion algorithm is proposed. Different from the OOSMs methods in which the transmitted data from local sensors to the fusion center are measurements, the proposed fusion algorithm sends the local estimates to the fusion center for fusion and is called "Out-Of-Sequence" Estimates (OOSEs). The time calibration for fusion is finished by predict operation in the fusion center. The proposed OOSEs method can avoid many problems existed in the OOSMs method, but its fusion accuracy is lower than that of the OOSMs method after a sort. This is because that the OOSMs is a smoothing estimate and the OOSEs is a predict estimate. The superiorities of the proposed method are illustrated by performance analysis.
由于传感器网络在多传感器目标跟踪系统中的广泛应用,本文研究了混合时延数据融合问题,包括短时延和长时延。针对现有基于“乱序”测量的融合方法存在的跟踪系统投资大、计算量大、实时性差等主要问题,提出了一种通用的线性预测估计加权融合算法。与OOSMs方法中从局部传感器传输到融合中心的数据是测量值不同,本文提出的融合算法将局部估计发送到融合中心进行融合,称为“序列外”估计(OOSEs)。在聚变中心进行预测操作,完成聚变时间的标定。提出的OOSEs方法可以避免OOSMs方法存在的许多问题,但经过排序后其融合精度低于OOSMs方法。这是因为ooms是平滑估计,而oose是预测估计。性能分析表明了该方法的优越性。
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引用次数: 1
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2010 2nd International Workshop on Database Technology and Applications
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