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Proceedings. International Conference on Information Technology: Coding and Computing最新文献

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On synchronous coding 关于同步编码
Dongyang Long, W. Jia, Ming Li
Novel synchronous coding schemes are introduced and relationships between optimal synchronous codes and Huffman codes are also discussed. Although the problem of existence of optimal synchronous codes has not been resolved yet, we show that any synchronous code can consider as an optimal synchronous code for some information source and that there always exist optimal synchronous codes for the information source with a dyadic probability distribution. Comparing with Huffman coding, the synchronous coding is used not only for statistical modeling but also for dictionary methods. Moreover, it is proven that breaking a synchronous code is NP-complete.
介绍了新的同步编码方案,并讨论了最优同步码与霍夫曼码之间的关系。虽然最优同步码的存在性问题尚未得到解决,但我们证明了任意同步码都可以被认为是某一信息源的最优同步码,并且该信息源的最优同步码总是以二进概率分布存在。与霍夫曼编码相比,同步编码不仅用于统计建模,而且用于字典方法。此外,还证明了同步代码的破坏是np完全的。
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引用次数: 0
Automatic information discovery from the "invisible Web" 从“看不见的Web”中自动发现信息
King-Ip Lin, Hui Chen
A large amount of online information resides on the "invisible Web" - Web pages that are generated dynamically from databases and other data sources hidden from the user. They are not indexed by a static URL but are generated when queries are made via a search interface (a specialized search engine). In this paper, we propose a system that is capable of automatically making use of these specialized engines to find information on the invisible Web. We describe our overall architecture and process: from obtaining the search engines to picking the right engines to query. Experiments show that we can find information that is not found by traditional search engines.
大量的在线信息驻留在“不可见的Web”上——从数据库和其他对用户隐藏的数据源动态生成的Web页面。它们不是由静态URL索引的,而是在通过搜索接口(专门的搜索引擎)进行查询时生成的。在本文中,我们提出了一个能够自动利用这些专门的引擎在不可见的Web上查找信息的系统。我们描述了我们的整体架构和流程:从获得搜索引擎到选择正确的引擎进行查询。实验表明,我们可以找到传统搜索引擎找不到的信息。
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引用次数: 52
Performance driven circuit clustering and partitioning 性能驱动的电路聚类和划分
Ling Wang, H. Selvaraj
In this paper, the problem of performance driven circuit partitioning is considered. The parameters taken into consideration to measure performance are power interconnection resource constraints. An algorithm is presented to build clusters in a bottom up manner while decomposing clusters for cutsize and delay minimization as well as power consumption and resource constraint. A partitioning method in a top down manner is applied based on the probability function.
本文研究了性能驱动的电路划分问题。衡量性能时考虑的参数是电力互联资源约束。提出了一种基于自底向上的聚类构建算法,同时对聚类进行分解,使聚类最小化、时延最小化、功耗最小化、资源约束最小化。基于概率函数,采用自顶向下的划分方法。
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引用次数: 3
A study of encrypted, tunneling models in virtual private networks 虚拟专用网中加密隧道模型的研究
S. Al-Khayatt, S. Shaikh, Babak Akhgar, J. Siddiqi
The concept of virtual private networks offers a simple and cheap alternative to dedicated secure networks in corporate networks and Internet environments. The choice, however, of authentication and encryption techniques and protocols affect issues such as data throughput and performance throughout the network. This paper looks into two virtual private network models within a corporate network. Two operating system platforms are implemented in this investigation; Novell Netware and Windows 2000. Performance of the two arrangements is, subsequently, analyzed and evaluated.
虚拟专用网络的概念为企业网络和Internet环境中的专用安全网络提供了一种简单而廉价的替代方案。然而,身份验证和加密技术及协议的选择会影响整个网络的数据吞吐量和性能等问题。本文研究了企业网络中的两种虚拟专用网模型。本研究采用了两种操作系统平台;Novell Netware和Windows 2000。随后,对这两项安排的执行情况进行分析和评价。
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引用次数: 9
Invertible spread-spectrum watermarking for image authentication and multilevel access to precision-critical watermarked images 图像认证的可逆扩频水印和对精度要求高的水印图像的多级访问
J. Domingo-Ferrer, F. Sebé
Invertible watermarking has been introduced in the literature for the purpose of image authentication. We present a spread-spectrum invertible watermarking system which can be used to authenticate images in any lossless format, i.e. establish their integrity. A second application of invertible watermarking is multilevel access to watermarked images: depending on her clearance, the image user can "clean" the marks of more or less parts of the image, so as to gain in precision. Both applications make sense for precision-critical images (e.g. military, satellite, medical, quality control, reverse engineering images) whose copyright should still be protected to some extent.
文献中引入了可逆水印技术用于图像认证。提出了一种扩频可逆水印系统,该系统可用于验证任何无损格式的图像,即建立图像的完整性。可逆水印的第二个应用是对水印图像的多级访问:根据她的清除,图像用户可以“清除”图像或多或少部分的标记,从而获得精度。这两种应用都适用于精度要求很高的图像(例如军事、卫星、医疗、质量控制、逆向工程图像),这些图像的版权在某种程度上仍应受到保护。
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引用次数: 16
Analysis of combining multiple query representations with varying lengths in a single engine 在单个引擎中组合具有不同长度的多个查询表示的分析
Abdur Chowdhury, S. Beitzel, Eric C. Jensen
We examine the issues of combining multiple query representations in a single IR engine. Differing query representations are used to retrieve different documents. Thus, when combining their results, improvements are observed in effectiveness. We use multiple TREC query representations (title, description and narrative) as a basis for experimentation. We examine several combination approaches presented in the literature (vector addition, CombSUM and CombMNZ) and present a new combination approach using query vector length normalization. We examine two query representation combination approaches (title + description and title + narrative) for 150 queries from TREC 6, 7 and 8 topics. Our QLN (Query Length Normalization) technique outperformed vector addition and data fusion approaches by as much as 32% and was on average 24% better. Additionally, QLN always outperformed the single best query representation in terms of effectiveness.
我们研究了在单个IR引擎中组合多个查询表示的问题。不同的查询表示用于检索不同的文档。因此,当结合他们的结果时,可以观察到有效性的提高。我们使用多个TREC查询表示(标题、描述和叙述)作为实验的基础。我们研究了文献中提出的几种组合方法(向量加法、CombSUM和CombMNZ),并提出了一种使用查询向量长度归一化的新组合方法。我们研究了来自TREC 6,7和8主题的150个查询的两种查询表示组合方法(标题+描述和标题+叙述)。我们的QLN(查询长度归一化)技术比向量加法和数据融合方法的性能高出32%,平均高出24%。此外,就有效性而言,QLN总是优于单一最佳查询表示。
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引用次数: 5
SqueezeX: synthesis and compression of XML data SqueezeX: XML数据的合成和压缩
M. Cannataro, C. Comito, Andrea Pugliese
XML is emerging as the "universal" language for semi-structured data description/exchange, and new issues regarding the management of XML data, both in terms of performance and usability, are becoming critical. The application of knowledge-based synthesis and compression methods (i.e. derivation of synthetic views and lossless/lossy approximation of contents) can be extremely beneficial in this scenario. In this paper, we present SqueezeX, a system for the synthesis/compression of XML data based on a multidimensional/classification-based interpretation of their schema and on the application of semantic and type-oriented compression techniques.
XML正在成为半结构化数据描述/交换的“通用”语言,有关XML数据管理的新问题,无论是在性能方面还是在可用性方面,都变得至关重要。基于知识的合成和压缩方法的应用(即合成视图的推导和内容的无损/有损近似)在这种情况下是非常有益的。在本文中,我们介绍了SqueezeX,这是一个基于多维/基于分类的模式解释和基于语义和面向类型压缩技术的应用的XML数据综合/压缩系统。
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引用次数: 9
A methodology for collection selection in heterogeneous contexts 在异构上下文中选择集合的方法
Faïza Abbaci, M. Beigbeder, J. Savoy
Demonstrates that, in an ideal distributed information retrieval environment, it can be effective to take into account the ability of each collection server to return relevant documents when selecting collections. Based on this assumption, we suggest a new approach to resolve the collection selection problem. In order to predict a collection's ability to return relevant documents, we inspect a limited number (n) of documents retrieved from each collection and analyse the proximity of search keywords within them. In our experiments, we vary the underlying parameter n of our suggested model in order to define the most appropriate number of top documents to be inspected. Moreover, we evaluate the retrieval effectiveness of our approach and compare it with both the centralized indexing and the CORI (COllection Retrieval Inference) approaches. Preliminary results from these experiments, conducted on the WT10g test collection of Web pages, tend to demonstrate that our suggested method can achieve appreciable retrieval effectiveness.
说明在理想的分布式信息检索环境中,在选择集合时考虑每个集合服务器返回相关文档的能力是有效的。基于这一假设,我们提出了一种解决集合选择问题的新方法。为了预测集合返回相关文档的能力,我们检查从每个集合检索到的有限数量的文档,并分析其中搜索关键字的接近度。在我们的实验中,我们改变了建议模型的基础参数n,以便定义要检查的最合适的顶级文档数量。此外,我们评估了该方法的检索效率,并将其与集中式索引和CORI(集合检索推理)方法进行了比较。在Web页面的WT10g测试集合上进行的这些实验的初步结果倾向于证明我们建议的方法可以获得可观的检索效率。
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引用次数: 15
Improve precategorized collection retrieval by using supervised term weighting schemes 使用监督项加权方案改进预先分类的集合检索
Ying Zhao, G. Karypis
The emergence of the World Wide Web has led to an increased interest in methods for searching for information. A key characteristic of many online document collections is that the documents have pre-defined category information, such as the variety of scientific articles accessible via digital libraries (e.g. ACM, IEEE, etc.), medical articles, news-wires and various directories (e.g. Yahoo, OpenDirectory Project, etc.). However, most previous information retrieval systems have not taken the pre-existing category information into account. In this paper, we present weight adjustment schemes based upon the category information in the vector-space model, which are able to select the most content-specific and discriminating features. Our experimental results on TREC data sets show that the pre-existing category information does provide additional beneficial information to improve retrieval. The proposed weight adjustment schemes perform better than the vector-space model with the inverse document frequency (IDF) weighting scheme when queries are less specific. The proposed weighting schemes can also benefit retrieval when clusters are used as an approximations to categories.
万维网的出现增加了人们对搜索信息方法的兴趣。许多在线文档集合的一个关键特征是文档具有预定义的分类信息,例如通过数字图书馆(例如ACM, IEEE等)访问的各种科学文章,医学文章,新闻线路和各种目录(例如Yahoo, OpenDirectory Project等)。然而,以往的信息检索系统大多没有考虑到已有的类别信息。在本文中,我们提出了基于向量空间模型中类别信息的权重调整方案,该方案能够选择最具内容特异性和区别性的特征。我们在TREC数据集上的实验结果表明,预先存在的类别信息确实为改进检索提供了额外的有益信息。当查询不太具体时,所提出的权重调整方案比具有逆文档频率(IDF)加权方案的向量空间模型性能更好。当使用聚类作为类别的近似时,所提出的加权方案也有利于检索。
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引用次数: 10
On Arabic-English cross-language information retrieval: a machine translation approach 阿英跨语言信息检索:一种机器翻译方法
Mohammed Aljlayl, O. Frieder, D. Grossman
Machine translation (MT) is an automatic process that translates from one human language to another by using context information. We empirically evaluate the use of an MT-based approach for query translation in an Arabic-English cross-language information retrieval (CLIR) system, called ALKAFI, using the TREC-7 and TREC-9 topics and collections. The effect of the query length on the MT performance is also investigated in order to explore how much context is actually required for successful MT processing.
机器翻译(MT)是利用上下文信息将一种人类语言翻译成另一种语言的自动过程。我们使用TREC-7和TREC-9主题和集合,实证地评估了基于mt的方法在阿拉伯-英语跨语言信息检索(CLIR)系统(称为ALKAFI)中查询翻译的使用。为了探索成功的机器翻译处理实际需要多少上下文,还研究了查询长度对机器翻译性能的影响。
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引用次数: 23
期刊
Proceedings. International Conference on Information Technology: Coding and Computing
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