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检索条件"主题词=Compression Algorithms"

共 2082 条记录，以下是11-20 订阅

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Application of Machine Learning Methods for Classification of Telemetric Frames by compression algorithms

Application of Machine Learning Methods for Classification o...

引用

International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： A.V. Levenets En Un Chye I.V. Bogachev Pacific National University 136 Tihookeanskaya str. Khabarovsk Russia

ISBN: (纸本)9781728149127

Problem statement: adaptive data compression systems include, as an integral part, a certain classifier that allows you to select the most efficient compression algorithm. At the same time, for such systems, parallel training of the classifier and data compression should be ensured, which increases the computational cost and complicates the architecture of the transceiver devices. Thus, the question of developing an effective classifier for compression systems is quite acute. Objective: to assess the possibility of using the simplest neural network architecture as a classifier for telemetric data frames. Results: the behavior of the averaged errors of training, generalization and confirmation depending on the size of the training sample obtained for a number of telemetry data sets is investigated. Based on the obtained data, neural network training parameters are proposed that allow achieving high efficiency of its work. A comparative analysis of the effectiveness of the proposed approach and a number of specialized numerical methods has been carried out, which has shown that even the most versatile artificial neural network architecture is significantly superior to systems using numerical classification methods.

关键词： compression algorithms Artificial neural networks Telemetry Training Biological neural networks Computer architecture

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A Comparative Experimental Study of Lossless compression algorithms for Enhancing Energy Efficiency in Smart Meters 16

A Comparative Experimental Study of Lossless Compression Alg...

引用

16th IEEE International Conference on Industrial Informatics (INDIN)

作者： Spiegel, Julien Wira, Patrice Hermann, Gilles Univ Haute Alsace Inst Rech Informat Math Automat & Signal Mulhouse France

ISBN: (纸本)9781538648292

An experimental comparative study of data compression algorithms is investigated for enhancing energy efficiency in low-powered smart meters. Data compression is able to reduce the RF communication time. We also propose a new lossless compression algorithm to achieve the best tradeoff between the compression ratio and computational costs. The performance of our proposed Run-Length Binary Encoding (RLBE) algorithm is compared to those obtained with other lossless compression algorithms: Huffman coding, Even-Rodeh, Exponential-Golomb, Lempel-Ziv Welch, Fibonacci coding, and the hybrid Bzip2 algorithm. The energy optimization in data transmission has been achieved under different operating conditions. The performance of each compression algorithms has been verified experimentally with real metering datasets from industrial and domestic cases.

关键词： Encoding compression algorithms Entropy Data compression Dictionaries Intelligent sensors

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A Comparative Experimental Study of Lossless compression algorithms for Enhancing Energy Efficiency in Smart Meters

A Comparative Experimental Study of Lossless Compression Alg...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Julien Spiegel Patrice Wira Gilles Hermann Institut de Recherche en Informatique Mathématiques Automatique et Signal

关键词： Encoding compression algorithms Entropy Data compression Dictionaries Intelligent sensors

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Running compression algorithms in the encrypted domain: a case-study on the homomorphic execution of RLE 15

Running compression algorithms in the encrypted domain: a ca...

引用

15th Annual Conference on Privacy, Security and Trust (PST)

作者： Canard, Sebastien Carpov, Sergiu Kuate, Donald Nokam Sirdey, Renaud Orange Labs Appl Crypto Grp Paris France CEA LIST Paris France

ISBN: (纸本)9781538624876

This paper is devoted to the study of the problem of running compression algorithms in the encrypted domain, using a (somewhat) fully homomorphic encryption (FHE) scheme. We do so with a particular focus on conservative compression algorithms. Despite of the encrypted domain Turing-completeness which comes with the magic of FHE operators, we show that a number of subtleties crop up when it comes to running compression algorithms and, in particular, that guaranteed conservative compression is not possible to achieve in the FHE setting. To illustrate these points, we analyze the most elementary conservative compression algorithm of all, namely Run-Length Encoding (RLE). We first study the way to regularize this algorithm in order to make it (meaningfully) fit within the constraints of a FHE execution. Secondly, we analyze it from the angle of optimizing the resulting structure towards (as much as possible) FHE execution efficiency. The paper is concluded by concrete experimental results obtained using the Fan-Vercauteren cryptosystem as well as the Armadillo FHE compiler. It is also this paper intent to share the concrete return on experience we gained in attempting to run a simple yet practically significant algorithm over FHE.

关键词： compression algorithms Encryption Image coding Logic gates Encoding Video coding

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Making compression algorithms for Unicode text

Making compression algorithms for Unicode text

引用

Data compression Conference (DCC)

作者： Gleave, Adam Steinruecken, Christian Univ Cambridge Cambridge England

ISBN: (纸本)9781509067213

The majority of online content is written in languages other than English, and is most commonly encoded in UTF-8, the world's dominant Unicode character encoding. Traditional compression algorithms typically operate on individual bytes. While this approach works well for the single-byte ASCII encoding, it works poorly for UTF-8, where characters often span multiple bytes. Previous research has focused on developing Unicode compressors from scratch, which often failed to outperform established algorithms such as bzip2. We develop a technique to Unicode compressors to operate directly on Unicode characters, and implement variants of LZW and PPM that apply this technique. We find that our method substantially improves compression effectiveness on a UTF-8 corpus. On ASCII and binary files, our variants perform similarly to the original unmodified compressors.

关键词： Compressors compression algorithms Adaptation models Data compression Encoding Transforms Binary search trees

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DNA sequence compression within traditional text compression algorithms

DNA sequence compression within traditional text compression...

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IEEE Signal Processing and Communications Applications (SIU)

作者： Abdulkadir Şeker Emre Delibaş Banu Diri Bilgisayar Mühendisliği Bölümü Cumhuriyet Üniversitesi Sivas Türkiye Bilgisayar Mühendisliği Bölümü Yıldız Teknik Üniversitesi İstanbul Türkiye

It aimed that traditional text compression methods are using on compression of DNA sequence in this study. It has seen that the random short repeats are vital and it has examined their posivite impact for compression. A pipelined system with multiple algorithms running sequentially for compression. How the contribution of the algorithm to the system was investigated and especially the effect of the BWT on compression was shown. Results show that the pipeline system was found unable to catch the compression success of the Huffman coding alone.

关键词： DNA Pipelines compression algorithms Bioinformatics Data compression Transforms Image coding

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Running compression algorithms in the Encrypted Domain: A Case-Study on the Homomorphic Execution of RLE

Running Compression Algorithms in the Encrypted Domain: A Ca...

引用

Annual Conference on Privacy, Security and Trust, PST

作者： Sebastien Canard Sergiu Carpov Donald Nokam Kuate Renaud Sirdey Applied Crypto Group Orange Labs France CEA LIST France Orange Labs. Appl. Crypto Group France

ISBN: (数字)9781538624876

ISBN: (纸本)9781538624883

This paper is devoted to the study of the problem of running compression algorithms in the encrypted domain, using a (somewhat) fully homomorphic encryption (FHE) scheme. We do so with a particular focus on conservative compression algorithms. Despite of the encrypted domain Turingcompleteness which comes with the magic of FHE operators, we show that a number of subtleties crop up when it comes to running compression algorithms and, in particular, that guaranteed conservative compression is not possible to achieve in the FHE setting. To illustrate these points, we analyze the most elementary conservative compression algorithm of all, namely Run-Length Encoding (RLE). We first study the way to regularize this algorithm in order to make it (meaningfully) fit within the constraints of a FHE execution. Secondly, we analyze it from the angle of optimizing the resulting structure towards (as much as possible) FHE execution efficiency. The paper is concluded by concrete experimental results obtained using the Fan-Vercauteren cryptosystem as well as the Armadillo FHE compiler. It is also this paper intent to share the concrete return on experience we gained in attempting to run a simple yet practically significant algorithm over FHE.

关键词： compression algorithms Encryption Image coding Logic gates Encoding Video coding

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Analysis of the effects of soft errors on compression algorithms through fault injection inside program variables

Analysis of the effects of soft errors on compression algori...

引用

Latin American Test Workshop, LATW

作者： S. Avramenko M. Sonza Reorda M. Violante G. Fey Politecnico di Torino Torino Italy German Aerospace Center (DLR) Bremen Germany

Data logging applications, such as those deployed in satellite launchers to acquire telemetry data, may require compression algorithms to cope with large amounts of data as well as limited storage and communication capabilities. When commercial-off-the-shelf hardware components are used to implement such applications, radiation-induced soft errors may occur, especially during the last stages of the launcher cruise, potentially affecting the algorithm execution. The purpose of this work is to analyze two compression algorithms using fault injection to evaluate their robustness against soft errors. The main contribution of the work is the analysis of the compression algorithm susceptibility by attacking their data structures (also referred as program variables) rather than the memory elements of the computing platform in charge of the algorithm execution. This approach is agnostic of the downstream implementation details. Instead, the intrinsic robustness of compression algorithms can be evaluated quickly, and system-level decisions can be taken before the computing platform is finalized.

关键词： compression algorithms Algorithm design and analysis Encoding Telemetry Hardware Robustness Entropy

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Study and analysis of ECG compression algorithms

Study and analysis of ECG compression algorithms

引用

International Conference on Communications and Signal Processing

作者： M Pallavi H M Chandrashekar Department of Telecommunication Engineering Digital Communication in Siddaganga Institute of Technology Tumakuru Karnataka India Department of Telecommunication Engineering Siddaganga Institute of Technology Tumakuru Karnataka India

ISBN: (纸本)9781467385497

Electrocardiogram (ECG) is one testing method for measuring electrical activity of heart. ECG is the graphical representation of the electrical signal generated from heart. Heart is an organ of human which pump blood for the entire body. It require huge amount of data to store and transmit these ECG signals. So it is necessary for compression of the ECG signals. In few last years, many algorithms have evolved to compress the ECG signals, in that four algorithms such as Amplitude Zone Time Epoch Coding algorithm (AZTEC), Turning Point (TP), compression by using Discrete Cosine Transform (DCT) and Backward difference and compression by using Empirical Mode Decomposition (EMD) are implemented and explained detail. The performance of all the algorithms are analyzed by using two parameters namely, Percent Root means square Difference (PRD) and compression Ratio (CR). The CR and PRD are calculated for all 48 ECG records from the database of MIT-BIH arrhythmia. Finally the CR and PRD values are compared with all the four algorithms. The experimental result indicates that the compression by EMD gives better CR and PRD compare to all other methods.

关键词： Electrocardiography Discrete cosine transforms compression algorithms Signal processing algorithms Heart Encoding Data compression

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Classification of sleep states in mice using generic compression algorithms

Classification of sleep states in mice using generic compres...

引用

IEEE Signal Processing in Medicine and Biology Symposium (SPMB)

作者： Owen Mayer Diane C. Lim Allan I. Pack Matthew C. Stamm Department of Electrical and Computer Engineering Drexel University Philadelphia PA Division of Sleep Medicine University of Pennsylvania School of Medicine Philadelphia PA

ISBN: (纸本)9781509067145

Sleep is associated with a variety of chronic diseases as well as most psychiatric, addiction and mood disorders. To analyze sleep patterns in rodents, researchers analyze polysomnogram data containing electroencephalographs (EEG) and electromyographs (EMG). However, the analysis is performed manually by a expert human scorer, which is a slow, time consuming, and expensive process that is also subject to known human error and inter-scorer inconsistency [1]. To address this, researchers have developed a variety of techniques to automatically classify rodent sleep states using features extracted from EEG and EMG signals [2]. In many approaches, researchers extract a variety of heuristic features from explicitly chosen spectral bands of the EEG and EMG signals [3]. However, human designed, heuristic features often do not capture complete salient sleep-state information, which leads to inferior classification performance.

关键词： Sleep Dictionaries compression algorithms Electroencephalography Mice Electromyography Support vector machines

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