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检索条件"主题词=Compression algorithms"

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A Direct Web Page Templates Detection Method

A Direct Web Page Templates Detection Method

引用

International Conference on Internet Technology and Applications (iTAP)

作者： Su-bin Xie Bin Liang Wen-chang Shi Zhao-hui Liang Xiu-mei Yu Lei Zhang

Currently, a large number of web sites are generated from web templates so as to improve the productivity of web sites construction. However, the prevalence of web templates has a negative impact on the efficiency of search engine in many aspects, including the relevance judgment of web IR and resource usage of analysis tool. In this paper, we present a direct and fast method to detect pages of the same template by DOM tree characteristics. After analyzing and compressing DOM tree nodes of the HTML page, our method generates a hash value digest, also called fingerprint, for each page to identify its DOM structure. In addition, we also introduce some other page features to aid in judging the page template type. Through experimental evaluations over thirty thousand sub-domains, we show that our approach can obtain the analysis results rapidly but with a high accuracy rate above 95 percents.

关键词： HTML Web pages Fingerprint recognition Search engines compression algorithms Accuracy

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Generating Aspect-oriented Multi-Document Summarization with Event-aspect model 11

Generating Aspect-oriented Multi-Document Summarization with...

引用

Conference on empirical methods in natural language processing

作者： Peng Li Yinglin Wang Wei Gao Jing Jiang Shanghai Jiao Tong University Chinese University of Hong Kong Singapore Management University

ISBN: (纸本)9781937284114

In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sentences into aspects. We then use extended LexRank algorithm to rank the sentences in each cluster. We use Integer Linear Programming for sentence selection. Key features of our method include automatic grouping of semantically related sentences and sentence ranking based on extension of random walk model. Also, we implement a new sentence compression algorithm which use dependency tree instead of parser tree. We compare our method with four baseline methods. Quantitative evaluation based on Rouge metric demonstrates the effectiveness and advantages of our method.

关键词： Integer linear programming autogeneration Adjudication compression algorithms Parser laser Doppler anemometry Anterior interventricular branch of left coronary artery Left-sided displacement of abomasum Quantitative Evaluation Random walk

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Andre Burkovski Sebastian Klenk Gunther Heidemann Department for Intelligent Systems University of Stuttgart Stuttgart Germany

The Normalized compression Distance (NCD) has gained considerable interest in pattern recognition as a similarity measure applicable to unstructured data of very different domains, such as text, DNA sequences, or images. NCD uses existing compression programs such as gzip to compute similarity between objects. NCD has unique features: It does not require any prior knowledge, data preprocessing, feature extraction, domain adaptation or any parameter settings. Further, the NCD can be applied to symbolic data and raw signals alike. In this paper we decompose the NCD and introduce a method to measure compression-based similarity without the need to use compression. The Length Delimiting Dictionary Distance (LD 3 ) takes the one component essential in compression methods, the dictionary generation, and strips the NCD of all dispensable components. The LD 3 performs "compression based pattern recognition without compression", keeping all of the above benefits of the NCD while achieving better speed and recognition rates. We first review the NCD, introduce LD 3 as the "essence" of NCD, and evaluate the LD 3 based on language tree experiments, authorship recognition, and genome phylogeny data.

关键词： Dictionaries Complexity theory Pattern recognition Compressors Measurement compression algorithms Image coding

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Evolving alphabet using genetic algorithms

Evolving alphabet using genetic algorithms

引用

World Congress on Nature & Biologically Inspired Computing (NaBIC)

作者： Jan Platos Pavel Kromer Department of Computer Science FEECS VSB-Technical University of Ostrava Ostrava Poruba Czech Republic

Data compression algorithms were usually designed for data processing symbol by symbol. Symbols are usually characters or bytes, but several other techniques may be used. The most well-known approach is using syllables or words as symbols. Another approach is to take 2-grams, 3-grams or any n-grams as a symbols. All these approaches has pros and cons, but none of them is the best for any file. This paper describes approach of evolving alphabet from characters and 2-grams, which is optimal for compressed text files. The efficiency of the approach will be tested on three compression algorithms.

关键词： Genetic algorithms compression algorithms Encoding Data compression Dictionaries Image coding Biological cells

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Performance Measurement of XML compression algorithms for DSRC Messages

Performance Measurement of XML Compression Algorithms for DS...

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Conference on Local Computer Networks (LCN)

作者： Sabit Sayeed Ramiro Liscano Allauddin Ahmad SITE University of Ottawa Canada Faculty of Engineering and Applied Science University of Ontario Institute of Technology (UOIT) Canada

The DSRC standard gives the provision to process messages in XML format instead of the default binary encoding scheme. Although, use of XML encoding provides flexibility, it also introduces bandwidth communication overhead since the message size will increase and end to end communication delay since processing time will also increase. There are many proposed XML compression algorithms to decrease message size but few have been tested for processing and communication delays for inter vehicle communication. In this paper, performance measurements for various compression algorithms on DSRC messages are presented.

关键词： Measurement XML compression algorithms Encoding Testing Delay estimation Bandwidth Vehicles Redundancy Computer networks

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Planning updates in multi-application wireless sensor networks

Planning updates in multi-application wireless sensor networ...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Abolhassan Shamsaie Jafar Habibi Department of Computer Engineering Sharif University of Technology Tehran Iran

One of the arising issues in wireless sensor networks is running multiple applications to reduce deployment, administrative and management costs. In this paper we assume a sensor network in which nodes of a group have a set of same applications in their external flash memory that some of them are loaded and running. Occasionally, these applications should be updated for reasons that are manifold ranging from fixing software bugs to retasking. It is often that updates for a subset of applications happen at the same time, for example when a routing protocol shared among a subset of applications is changed. To bring the sensor nodes up to date with the new versions of the applications, existing strategies transfer the delta code, a smaller code obtained from the differential compression between the binary representations of the old and the new version of each application, and let the sensor nodes rebuild the new version from the received delta and the old version. We discuss that these strategies are blind to the order of updates when a set of updates occurs simultaneously. We introduce a heuristic planner that yields a sequence for a set of simultaneous updates, which minimizes the total delta size without adding overhead on the sensor nodes. We illustrate the efficiency of our planner on some TinyOS applications.

关键词： Wireless sensor networks Protocols Ash Planning Concurrent computing Programming compression algorithms

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The design and validation of an automatic email clustering system based on semantics

The design and validation of an automatic email clustering s...

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IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Alexandra Suzana Cernian Iuliana Florea Dorin Carstoiu Valentin Sgarciu Automatic Control and Computer Science Faculty University Politehnica of Bucharest Bucharest Romania

Everybody has at least one email address nowadays. We keep in touch with family, friends, business partners by email. We receive news, notifications and advertisements by email. We subscribe to different newsletters that we also receive by email. But don't you hate it when your inbox gets all crowded with messages and you're having trouble finding exactly the one email you need? We all hate those moments. Common email clients allow us to sort emails by date, by sender or even by subject. But that is not always enough. This paper proposes the design and validation of an automatic system for clustering email messages based on semantic meaning. Our system is based on the clustering by compression technique, which has proven its capabilities during previous tests.

关键词： Electronic mail Power capacitors Clustering algorithms Text processing Semantics Engines compression algorithms

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Eigenvalue Steganography based on eigen characteristics of quantized DCT matrices

Eigenvalue Steganography based on eigen characteristics of q...

引用

International Conference on Information Technology and Multimedia (ICIM)

作者： Yasser M. Behbahani Parham Ghayour Amir Hossein Farzaneh Department of Electrical and Computer Engineering Shahid Beheshti University Tehran Iran

In this paper we propose a new JPEG-based steganography technique, using eigenvalues' properties of matrices of quantized DCT coefficients. We call this new approach, Eigenvalue Steganography. Usual steganography techniques based on JPEG images, hide data by changing the least significant bit (LSB) of DCT coefficients. Eigenvalue Steganography technique hides confidential data employing the eigenvalues of quantized DCT matrices and manipulating them. This technique suggests the subdivision of quantized DCT coefficients blocks into smaller submatrices in DCT domain. Afterwards, this technique efficiently hides confidential information among DCT submatrices, by employing the proposed algorithms and manipulating the eigenvalues of these submatrices. Experiments done in this paper, depicts that the two proposed methods to implement Eigenvalue Steganography show appropriate resistance against Subtractive Pixel Adjacency Matrix (SPAM) steganalyzer. This steganalysis model doesn't have the capability of proper detection for the suggested methods.

关键词： Discrete cosine transforms Eigenvalues and eigenfunctions Transform coding Unsolicited electronic mail Receivers compression algorithms Resistance

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Design QC-LDPC coder based on FPGA

Design QC-LDPC coder based on FPGA

引用

International Conference on Electrical and Control Engineering (ICECE)

作者： Mingchuan Meng He Guan Jing Li Qinggong College Hebei United University Tangshan China

In this paper we study some fundamental properties of QC-LDPC code, we use a recursive compression algorithm to optimize the structure of QC-LDPC code, it can effectively reduce the coding complexity, save the space which is used to storage QC-LDPC code, and don't need to reduce its error correction performance. We use VHDL language to design QC-LDPC decoder in the FPGA chip. This system was simulated in Quartus 117.2.

关键词： Educational institutions Field programmable gate arrays Parity check codes Decoding Lattices Medical services compression algorithms

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Text preprocessing using Enhanced Intelligent Dictionary Based Encoding (EIDBE)

Text preprocessing using Enhanced Intelligent Dictionary Bas...

引用

International Conference on Electronic Computer Technology

作者： Senthil Shanmugasundaram Robert Lourdusamy Department of Computer Science Bharathiar University Coimbatore Tamil Nadu India Shaqra University Shaqra SA

Intelligent Dictionary Based Encoding (IDBE), an encoding strategy offers higher compression ratios and rate of compression. Transforming text into some intermediate form by using IDBE is the basic philosophy of this compression technique. It is observed that a better compression is achieved by using IDBE as the preprocessing stage for the BWT based compressor. This paper aims at developing such a new and advanced technique called "Enhanced Intelligent Dictionary Based Encoding (EIDBE)". This approach is used in conjunction with BWT and is a dictionary based lossless reversible transformation that can be applied to a source text to improve existing or backend algorithm's ability to compress. EIDBE achieves better compression at the preprocessing stage and enough redundancy is retained for the compression algorithms to get better results. The experimental results of this compression method are also analysed.

关键词： Encoding Dictionaries Data compression Transforms Conferences compression algorithms IEEE Computer Society

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