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检索条件"主题词=Compression algorithms"

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Efficient Data Communication Using Dynamic Switching of compression Method

Efficient Data Communication Using Dynamic Switching of Comp...

引用

International Symposium on Computing and Networking (CANDAR)

作者： Masayuki Omote Kanemitsu Ootsu Takeshi Ohkawa Takashi Yokota Utsunomiya Daigaku Utsunomiya Tochigi JP Graduate School of Engineering Utsunomiya University Utsunomiya Tochigi Japan

As a means for high-speed communication on the network with limited communication bandwidth such as WAN or wireless LAN environment, we can use the online high-speed data compression/decompression method. Since it is necessary to reduce the transfer time including the time of the data compression process, it is difficult to adopt the advanced but time-consuming compression algorithm. However, it is possible to mitigate this constraint, if we take advantage of the multiple cores of multi-core processor that is significantly spread in recent years. By performing data transfer and compression on different processor cores in parallel, it is possible to use the advanced algorithm for higher compression ratio than conventional online algorithm, as long as the compression process catches up with the process of data transmission to network. Thus, it is possible to transfer the data faster, by transferring the more compressed data than conventional. In this paper, we investigate the method of highly efficient data transfer in the network of limited communication bandwidth. The method tries to select the highest compression algorithm dynamically as long as it catches up with the actual speed of sending data, in order to fully utilize the network bandwidth. Our evaluation result shows that the proposed method can select the nearly best compression method, and achieve up to 3 times speed-up maximum in various situations where both communication bandwidth and input data vary with time.

关键词： Bandwidth Switches Data transfer Data compression compression algorithms Heuristic algorithms

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ON THE DESIGN OF AN EFFICIENT ENCRYPTION-THEN-compression SYSTEM

ON THE DESIGN OF AN EFFICIENT ENCRYPTION-THEN-COMPRESSION SY...

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Jiantao Zhou Xianming Liu Oscar C. Au Department of Computer and Information Science University of Macau Macau China School of Computer Science and Technology Harbin Institute of Technology Harbin China Department of ECE Hong Kong University of Science and Technology Hong Kong China

ISBN: (纸本)9781479903573

In many practical scenarios, image encryption has to be conducted prior to image compression. This has led to the problem of how to design a pair of encryption and compression algorithms such that compressing the encrypted image can still be efficiently performed. In this work, we propose a permutation-based image encryption method conducted over the prediction error domain. We also design an arithmetic coding (AC)-based approach to efficiently compress the encrypted image. It can be shown that the proposed scheme can provide reasonably high level of security. More notably, the compression performance on the encrypted image is only slightly degraded, compared with that of compressing the original, un-encrypted one. In contrast, most of the existing approaches induce significant penalty on the compression performance.

关键词： cryptography Security level Imagery (Psychotherapy) Image images COMPRESSED compression algorithms Image compression Data compression arithmetic coding

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A design of sounding rocket video processing system based on wavelet transform compression algorithm

A design of sounding rocket video processing system based on...

引用

International Conference on Information Science and Technology (ICIST)

作者： Linlin Wang Ping Chen Xiujie Jiang Zhimin Chen Bo Liu University of Chinese Academy of Sciences Beijing PRC Laboratory of Rocket and Balloon Sounding Technology Chinese Academy of Sciences Beijing PRC

ISBN: (纸本)9781467327626

In order to construct an integrated sounding rocket experimental platform and to record the status of the sounding rocket as well as onboard payloads, an onboard video processing system based on the wavelet transform compression algorithm is designed in this paper. Specifically, the system utilizes a compression algorithm based on the bi-orthogonal (9, 7) discrete wavelet transform and implements field independent subband coding. Moreover, the system supports 10:1 to 200:1 real-time compression, and the frame rate is at range of 1fps to 25 fps (frame-per-second). To achieve a near constant compressed bit rate, the system adopts the Proportional-Integral-Derivative (PID) algorithm to conduct quantization control. The embedded system architecture, based on ARM and FPGA, is used to design the hardware circuit, which is characterized with the features of simple structure, high integration level and strong flexibility. Practical tests indicate that the proposed system has the characteristics of low power dissipation, low cost, small size, high reliability, high and low temperature resistance, vibration and impact resistance, which can withstand hostile environment on sounding rocket and it is very suitable for sounding rocket application.

关键词： Rockets Wavelet transforms Cameras Streaming media compression algorithms Payloads

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Lossless compression of wind plant data

Lossless compression of wind plant data

引用

IEEE General Meeting Power& Energy Society

作者： Henry Louie Agnieszka Miguel ECE Seattle University

Summary form only given. Substantial quantities of wind plant data are being accumulated as interest and investment in renewable energy grows. These data sets can approach tens of terabytes in size, making their management, storage, manipulation, and transmission burdensome. Lossless compression of the data sets can mitigate these challenges without sacrificing accuracy. This paper develops and analyzes lossless compression algorithms that can be applied to data used in integration studies and data used in wind plant monitoring and operation. The algorithms exploit wind speed-to-wind power relationships, and the temporal and spatial correlations in the data. The Shannon entropy of wind power and speed data is computed to gain insight on the uncertainty of wind power and speed and to benchmark performance of the compression algorithms. The algorithms are applied to the National Renewable Energy Laboratory's Western and Eastern Data Sets and to actual wind turbine data. The resulting compression ratios are up to 50 percent higher than those obtained by direct application of off-the-shelf lossless compression methods.

关键词： Renewable energy sources compression algorithms Wind power generation Educational institutions Investment Accuracy Monitoring

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A challenge revisited: An efficient bi-fragmented 16-bit Genpack technique for genetic (DNA&mRNA) compression

A challenge revisited: An efficient bi-fragmented 16-bit Gen...

引用

IEEE International Advance Computing Conference, IACC

作者： V. Hari Prasad P.V. Kumar Jawaharlal Nehru Technological University Andhra Pradesh India Osmania University Hyderabad Andhra Pradesh India

ISBN: (纸本)9781467345279

While technology keeps growing the world keeps shrinking. Necessity of genome compression is playing a predominant role in the real vogue. Day by day more and more genetic living organism is generated and its accumulation is creating a major problem for processing in centralized and distributed environment. Genome data can be classified into DNA and mRna textures which encoded by four literals of A, C, G and T. Due to the excessive storage of living organism in the public data bases like GenBank and EMBL their size is exponentially growing, for ease of processing the data in the network and storage in the data base genetic compression striving into the world as a major concern. Many classical algorithms are fails to explain genetic sequences due to tandem and non tandem repeats in DNA&mRNA. Some algorithms explained the performance analysis based on tandem repeats in Best, Avg and worst cases but results are not ample. Our proposed technique Genpack uses public 32 bit key for encoding and decoding process. Gen pack will work on both tandem repeats and non tandem repeats and observed that compression is 1.002 bits/characters. It is a finest technique among all existed ones and by using this technique data can be easily managed by substantially reducing its infrastructure in networks, obviously quality of service(Qos) can be reinforced.

关键词： DNA Bioinformatics Genomics Algorithm design and analysis Encoding Image coding compression algorithms

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Effective dictionary based data compression and pattern searching in dictionary based compressed data

Effective dictionary based data compression and pattern sear...

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International Conference on Computing and Networking Technology (ICCNT)

作者： Pooja Jain Anurag Jain Chetan Agrawal Computer Science Department Radharaman Institute of Technology and Science Bhopal

ISBN: (纸本)9781479939275

Effective data compression is the most important concern in data management methods. The LZW compression method is one of the most popular algorithms in different compression method. There is one more concern i.e. compressed pattern matching. Compressed pattern matching is an emerging research area that addresses the problem in which finding patterns in the compressed data and report all the occurrences of the patterns without decompressing the compressed data. In this thesis has developed, analyzed and test a new data compression technique “compression data Based on Dictionary” and "Searching Algorithm in Compressed data". This Algorithm generates the compression codes for words and maintains a dictionary for compression as well as decompression. Searching algorithm uses the quick search string matching algorithm for finding the required patterns.

关键词： Dictionaries compression algorithms Pattern matching Data compression Image coding Channel coding

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An efficient method of ECG signal compression by using a DCT-IV spectrum

An efficient method of ECG signal compression by using a DCT...

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International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Shin-Chi Lai Chien-Sheng Lan Sheau-Fang Lei Department of Electrical Engineering Department National Cheng Kung University Tainan Taiwan

ISBN: (纸本)9781479930524

In this paper, we propose an efficient electrocardiogram (ECG) compression algorithm with the advantages of high-accuracy and high-compressing-ratio. The ECG signal sources are employed by the MIT-BIH arrhythmia database with a sampling rate of 360 Hz, and then we transform these ECG signals from time domain into frequency domain by using 64-point the type IV of Discrete Cosine Transform (DCT-IV), which is difference to the traditional DCT-II method. In addition, a differential value coding and a Huffman coding are both employed in the proposed algorithm. Compared with Lee et al.'s algorithm, the simulation results clearly show that the proposed method has a greater performance in terms of Compressing Ratio (CR), Percent Root-mean-square Difference (PRD), Signal to Noise Ratio (SNR), and Quality Score (QS). Especially, the QS value of the proposed algorithm has an outstanding improvement by increasing 23.8%.

关键词： Electrocardiography compression algorithms Databases Quantization (signal) Signal to noise ratio Discrete cosine transforms

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A Simple Desktop compression and Streaming System

A Simple Desktop Compression and Streaming System

引用

IEEE International Symposium on Multimedia

作者： Ilija Hadic Hans C. Woithe Martin D. Carroll Nokia Bell Labs Murray Hill NJ US Bell Labs Alcatel-Lucent Murray Hill NJ USA

We present a compression algorithm and a streaming protocol designed for streaming of computer-desktop graphics. The encoder has low memory requirements and can be broken into a large number of independent contexts with a high degree of data locality. The encoder also uses only simple arithmetic, which makes it amenable to hardware or highly parallel software implementation. The decoder is trivial and requires no memory, which makes it suitable for use on devices with limited computing capabilities. The streaming protocol runs over UDP and has its own unique error recovery mechanism specifically designed for interactive applications.

关键词： Tiles Image color analysis Decoding Encoding Protocols compression algorithms Instruction sets

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compression and Indexing Based on BWT: A Survey

Compression and Indexing Based on BWT: A Survey

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Web Information Systems and Applications Conference (WISA)

作者： Dengfeng Zhang Qing Liu Yuewan Wu Yaping Li Lin Xiao School of Information Renmin University of China

Burrows-Wheeler Transform (BWT) is a new data transform method, firstly introduced by Burrows and Wheeler in 1994 and used in a lossless data compression algorithm. In the original version of data compression algorithm based on BWT, Burrows and Wheeler used the Move-To-Front (MTF) transform after the BWT and entropy coding (Huffman coding) for encoding the transform result in the last stage. Ferragina and Manzini combined the compression algorithm based on BWT and the suffix array data structure, and proposed a new opportunistic data structure. They shortly called it FM-index in that it is a Full-text index and occupies Minute space. This paper mainly describes the methods about compression and index based on BWT, and relationship between them. At last, the paper compares some tools.

关键词： Transforms compression algorithms Arrays Simple object access protocol Indexes Sorting

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A Simple Online Competitive Adaptation of Lempel-Ziv compression with Efficient Random Access Support

A Simple Online Competitive Adaptation of Lempel-Ziv Compres...

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Data compression Conference (DCC)

作者： Akashnil Dutta Reut Levi Dana Ron Ronitt Rubinfeld MIT CSAIL Cambridge MA USA School of Computer Science Tel Aviv University Israel School of Electrical Engineering Tel Aviv University Israel

ISBN: (纸本)9781467360371

We present a simple adaptation of the Lempel Ziv 78' (LZ78) compression scheme that supports efficient random access to the input string. The compression algorithm is given as input a parameter ε > 0, and with very high probability increases the length of the compressed string by at most a factor of (1 + ε). The access time is O(log n + 1/ε 2 ) in expectation, and O(log n/ε 2 ) with high probability. The scheme relies on sparse transitive-closure spanners. Any (consecutive) substring of the input string can be retrieved at an additional additive cost in the running time of the length of the substring. The main benefit of the proposed scheme is that it preserves the online nature and simplicity of LZ78, and that for every input string, the length of the compressed string is only a small factor larger than that obtained by running LZ78.

关键词： compression algorithms Indexes Data structures Electronic mail Educational institutions Encoding Computer science

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