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检索条件"主题词=Compression algorithms"

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A compression Algorithm for Multi-streams Based on GEP

A Compression Algorithm for Multi-streams Based on GEP

引用

International Conference on Genetic and Evolutionary Computing (WGEC)

作者： Chao Ding Chang-an Yuan Xiao Qin Yu-zhong Peng Computer and Information Engineering College Guangxi Teachers Education University Nanning China Key Laboratory of Scientific Computing & Intelligent Information processing University of Guangxi Nanning Guangxi China Computer and Information Engineering College University of Guangxi Nanning China

This paper applied the Methods which based on GEP in compress multi-streams. The contributions of this paper include: 1) giving an introduction to data function finding based on GEP(DFF-GEP), defining the main conception of Multi-Streams, and revealing the map relation in it; 2) putting forward the compression Algorithm for Multi-Streams according to map relation lied in data between data streams; and 3)providing an experience with the real data and find that (3.1) the compression ratio of the new methods is 120~150 times as the traditional wavelets method, and 35~70 times as the wavelets and coincidence method; (3.2) the relative error of the new method is about 3%, yet maximum relative error is 0.01 by using the traditional relative error standard, the precision is improved from 7% to 15% as compared with the traditional method.

关键词： compression algorithms Scientific computing Competitive intelligence Information processing Chaos Educational institutions Computer science education Monitoring Genetic engineering Gene expression

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Malware Detection via Classifying with compression

Malware Detection via Classifying with Compression

引用

International Conference on Information Science and Engineering (ICISE)

作者： Tao Gong Xiaobin Tan Ming Zhu Department of Automation University of Science and Technology Hefei Anhui China

ISBN: (纸本)9781424449095

The proliferation of malware has been causing great harm to computer and information systems. Traditional signature-based approaches fail to detect obfuscated malware and unknown malware. We present a preliminary study on classifying with compression of program instructions for malware detection. The code structure information was utilized to compress. The disassembled code is converted to its intermediate representation. We extract the opcode to form the stream for prediction by partial matching (PPM). The binaries are classified with this statistical compression algorithm. The preliminary experiment shows that our method can efficiently detect malware with high accuracy and low false positive rate.

关键词： Probability distribution Information systems Learning systems Information science Automation Data mining compression algorithms Data compression Internet Computer security

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Adaptive Linear Filtering compression on realtime sensor networks

Adaptive Linear Filtering Compression on realtime sensor net...

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IEEE International Conference on Pervasive Computing and Communications (PerCom)

作者： Aaron B. Kiely Mingsen Xu Wen-Zhan Song Renjie Huang Behrooz Shirazi Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA Sensorweb Research Laboratory Washington State University Vancouver WA USA

We present a lightweight lossless compression algorithm for realtime sensor networks. Our proposed adaptive linear filtering compression (ALFC) algorithm performs predictive compression, using adaptive linear filtering to predict sample values followed by entropy coding of prediction residuals, encoding a variable number of samples into fixed-length packets. Adaptive prediction eliminates the need to determine prediction coefficients a priori and, more importantly, allows compression to dynamically adjust to a changing source. The algorithm requires only integer arithmetic operations and thus is compatible with sensor platforms that do not support floating-point operations. Significant robustness to packets losses is provided by including small but sufficient overhead data to allow samples in each packet to be independently decoded. Real-world evaluations on seismic data from a wireless sensor network testbed show that ALFC provides more effective compression and uses less resources than some other lossless compression approaches such as S-LZW. Experiments in a multi-hop sensor network also show that ALFC can significantly improve raw data throughput and energy efficiency.

关键词： Maximum likelihood detection compression algorithms Adaptive systems Prediction algorithms Filtering algorithms Entropy coding Encoding Floating-point arithmetic Robustness Decoding

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Distortions of synthesized views caused by compression of views and depth maps

Distortions of synthesized views caused by compression of vi...

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3DTV Conference

作者： Krzysztof Klimaszewski Krzysztof Wegner Marek Domanski Chair of Multimedia Telecommunications and Microelectronics Poznań University of Technology Poland

The paper deals with prospective 3D video transmission systems that would use compression of both multiview video and depth maps. The paper addresses the problem of quality of views synthesized from other views transmitted together with depth information. For the state-of-the-art depth map estimation and view synthesize techniques, the paper proves that AVC/SVC-based multiview video coding technique can be used for compression of both view pictures and depth maps. The paper reports extensive experiments where synthesized video quality has been estimated by use of both PSNR index and subjective assessment. Defined is the critical value of depth quantization parameter as a function of the reference view quantization parameter. For smaller depth map quantization parameters, depth map compression has negligible influence on fidelity of synthesized views.

关键词： Video compression Bit rate Quantization Automatic voltage control Video coding State estimation TV Transmitters compression algorithms Testing

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K-RLE: A New Data compression Algorithm for Wireless Sensor Network

K-RLE: A New Data Compression Algorithm for Wireless Sensor ...

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International Conference on Sensor Technologies and Applications, SensorComm

作者： Eugène Pamba Capo-Chichi Hervé Guyennet Jean-Michel Friedt Laboratory of Computer Science-LIFC University of Franche-Comté Besancon France FEMTO-ST/LPMO University of Franche-Comté Besancon France

In the context of the use of wireless sensor network technology for environmental monitoring, the two main elementary activities of wireless sensor network are data acquisition and transmission. However, transmitting/receiving data are power consuming task. In order to reduce transmission-associated power consumption, we explore data compression by processing information locally. In this article, we evaluate and compare compression algorithms on an ultra-low power microcontroller from Texas Instrument within the MSP430 series used for designing wireless sensor network. We propose and evaluate a new data compression algorithm inspired from run length encoding called K-RLE.

关键词： Data compression Wireless sensor networks Monitoring Data acquisition Energy consumption compression algorithms Microcontrollers Instruments Algorithm design and analysis Encoding

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LICT: Left-uncompressed Instructions compression Technique to improve the decoding performance of VLIW processors 09

LICT: Left-uncompressed Instructions Compression Technique t...

引用

Design Automation Conference

作者： Talal Bonny Jorg Henkel Chair for Embedded Systems University of Karlsruhe Karlsruhe Germany

ISBN: (纸本)9781605584973

Compressing program code compiled for VLIW processors to reduce the amount of memory is a necessary means to decrease costs. The main disadvantage of any code compression technique is the system performance penalty because of the extra time required to decode the compressed instructions during run time. In this paper we improve the performance of decoding compressed instructions by using our novel compression technique (LICT: left-uncompressed instruction technique) which can be used in conjunction with any compression algorithm. Furthermore, we adapt a new code compression approach called Burrows-Wheeler (BW) which has been used before in data compression. It significantly reduces the code size compared to state-of-the-art approaches for VLIW processors. Using our LICT in conjunction with the BW algorithm improves the performance explicitly (2.5times) with little impact on the compression ratio (only 3% compression ratio loss).

关键词： Decoding VLIW compression algorithms Embedded system Costs Performance loss Permission System performance Data compression Hardware

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Low-Complexity Hyperspectral Image compression on a Multi-tiled Architecture

Low-Complexity Hyperspectral Image Compression on a Multi-ti...

引用

NASA/ESA Conference on Adaptive Hardware and Systems (AHS)

作者： Karel H.G. Walters André B.J. Kokkeler Sabih Gerez Gerard J.M. Smit Department of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands

The increasing amount of data produced in satellites poses a downlink communication problem due to the limited data rate of the downlink. This bottleneck is solved by introducing more and more processing power on-board to compress data to a satisfiable rate. This paper introduces an algorithm which has been developed to compress hyperspectral images at low complexity and describes its mapping to a new hardware platform called the Xentium. It is characterized by both high flexibility as well as high processing power. After introducing the algorithm the Xentium hardware is described. The different mapping strategies are explained and a cycle estimation is derived. It turns out that the compression algorithm can indeed be efficiently mapped on a reconfigurable tile like the Xentium. An image of 1024 times 1024 with 50 bands can be compressed in about 4 seconds on a single tile. Adding more tiles gives a close to linear speedup.

关键词： Hyperspectral imaging Image coding Tiles Hardware Hyperspectral sensors Downlink compression algorithms Energy consumption NASA Adaptive systems

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Adaptive data compression for efficient sequential transmission and change updating of remote sensing images

Adaptive data compression for efficient sequential transmiss...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Md. Al Mamun Xiuping Jia Michael Ryan School of Engineering and Information Technology University of New South Wales Campbell ACT Australia School of Engineering and Information Technology Australian Defence Force Academy Campbell ACT Australia

In this paper, a selective data compression scheme is developed to combine the need for efficient data transmission and the receivers' interest in changes presented in the data by taking the advantage of the fact that receivers hold a copy of previous data. Three-step pre-processing is introduced in this paper. Firstly we separate the unchanged areas (the majority) of the image from the changed areas between successive images of the same area. Secondly, the bands which are sensitive to the changes are identified with the aid of statistical measures. Finally, a binary index image of each band is generated to indicate the two categories. Following this pre-processing, compression of the unchanged areas and changed areas is conducted separately. In this way, different compression algorithms can be applied to each case. As the majority data will be unchanged and only a subset of bands reflects the changes, high compression rate is achievable.

关键词： Data compression Remote sensing Image coding Principal component analysis compression algorithms Predictive models Image analysis Australia Data communication Multispectral imaging

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Dynamic range compression algorithm for mobile display devices using average luminance values

Dynamic range compression algorithm for mobile display devic...

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International Symposium on Integrated Circuits (ISIC)

作者： Sungmok Lee Boodong Kwak Hagyong Han Wontae Choi Bongsoon Kang Department of Electronics Engineering Dong-A University Busan South Korea BK21 High Performance Multimedia Team Dong-A University Busan South Korea Image Solution Group Samsung Electro Mechanics Company Limited Suwon South Korea

This paper presents a dynamic range compression method for improving the contrast of color images. A variable transformation is applied to the input image, depending on the local dependency of the intensity. In this work, we present a local contrast correction algorithm that allows for simultaneous lowlight region and high-light region adjustments, based on multi-scale Gaussian filtering. Also, to minimize the change in color saturation between the input and the output image, we present the linear color restoration method.

关键词： Dynamic range compression algorithms Displays IEEE members Image coding Pixel Color Filtering algorithms Low pass filters Image restoration

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Efficient compression Algorithm for CN Top Level Domain DNS Log

Efficient Compression Algorithm for CN Top Level Domain DNS ...

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International Conference on Computational Intelligence and Software Engineering (CiSE)

作者： Zheng Wang Xin Wang Xiaodong Lee Baoping Yan China Internet Network Inf. Center China Comput. Network Inf. Center Chinese Acad. of Sci. Beijing China

The domain name system (DNS) is a fundamental component of the modern Internet. In the deployment of real time DNS monitoring and analysis system, the large volume CN top level domain DNS log, especially by BIND, heavily burdens its transmission from the distributed sites to the data processing center. The redundancy of DNS query type and the repetitiveness of DNS query time, IP and domain name is utilized for the DNS log compression to facilitate its transmission. For IP and domain name compression, the algorithm relies on their time and space locality.

关键词： compression algorithms Internet Bandwidth Data processing Data communication IP networks Domain Name System Monitoring Web server Fluctuations

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