Comparative Study of Compression Tools Like TAR, RAR, ZIP
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Lossless Audio Codec Comparison
Contents Introduction 3 1 CD-audio test 4 1.1 CD's used . .4 1.2 Results all CD's together . .4 1.3 Interesting quirks . .7 1.3.1 Mono encoded as stereo (Dan Browns Angels and Demons) . .7 1.3.2 Compressibility . .9 1.4 Convergence of the results . 10 2 High-resolution audio 13 2.1 Nine Inch Nails' The Slip . 13 2.2 Howard Shore's soundtrack for The Lord of the Rings: The Return of the King . 16 2.3 Wasted bits . 18 3 Multichannel audio 20 3.1 Howard Shore's soundtrack for The Lord of the Rings: The Return of the King . 20 A Motivation for choosing these CDs 23 B Test setup 27 B.1 Scripting and graphing . 27 B.2 Codecs and parameters used . 27 B.3 MD5 checksumming . 28 C Revision history 30 Bibliography 31 2 Introduction While testing the efficiency of lossy codecs can be quite cumbersome (as results differ for each person), comparing lossless codecs is much easier. As the last well documented and comprehensive test available on the internet has been a few years ago, I thought it would be a good idea to update. Beside comparing with CD-audio (which is often done to assess codec performance) and spitting out a grand total, this comparison also looks at extremes that occurred during the test and takes a look at 'high-resolution audio' and multichannel/surround audio. While the comparison was made to update the comparison-page on the FLAC website, it aims to be fair and unbiased. -
Data Preparation & Descriptive Statistics
Data Preparation & Descriptive Statistics (ver. 2.4) Oscar Torres-Reyna Data Consultant [email protected] PU/DSS/OTR http://dss.princeton.edu/training/ Basic definitions… For statistical analysis we think of data as a collection of different pieces of information or facts. These pieces of information are called variables. A variable is an identifiable piece of data containing one or more values. Those values can take the form of a number or text (which could be converted into number) In the table below variables var1 thru var5 are a collection of seven values, ‘id’ is the identifier for each observation. This dataset has information for seven cases (in this case people, but could also be states, countries, etc) grouped into five variables. id var1 var2 var3 var4 var5 1 7.3 32.27 0.1 Yes Male 2 8.28 40.68 0.56 No Female 3 3.35 5.62 0.55 Yes Female 4 4.08 62.8 0.83 Yes Male 5 9.09 22.76 0.26 No Female 6 8.15 90.85 0.23 Yes Female 7 7.59 54.94 0.42 Yes Male PU/DSS/OTR Data structure… For data analysis your data should have variables as columns and observations as rows. The first row should have the column headings. Make sure your dataset has at least one identifier (for example, individual id, family id, etc.) id var1 var2 var3 var4 var5 First row should have the variable names 1 7.3 32.27 0.1 Yes Male 2 8.28 40.68 0.56 No Female Cross-sectional data 3 3.35 5.62 0.55 Yes Female 4 4.08 62.8 0.83 Yes Male 5 9.09 22.76 0.26 No Female 6 8.15 90.85 0.23 Yes Female 7 7.59 54.94 0.42 Yes Male id year var1 var2 var3 1 2000 7 74.03 0.55 Group 1 1 2001 2 4.6 0.44 At least one identifier 1 2002 2 25.56 0.77 2 2000 7 59.52 0.05 Cross-sectional time series data Group 2 2 2001 2 16.95 0.94 or panel data 2 2002 9 1.2 0.08 3 2000 9 85.85 0.5 Group 3 3 2001 3 98.85 0.32 3 2002 3 69.2 0.76 PU/DSS/OTR NOTE: See: http://www.statistics.com/resources/glossary/c/crossdat.php Data format (ASCII)… ASCII (American Standard Code for Information Interchange). -
Contrasting the Performance of Compression Algorithms on Genomic Data
Contrasting the Performance of Compression Algorithms on Genomic Data Cornel Constantinescu, IBM Research Almaden Outline of the Talk: • Introduction / Motivation • Data used in experiments • General purpose compressors comparison • Simple Improvements • Special purpose compression • Transparent compression – working on compressed data (prototype) • Parallelism / Multithreading • Conclusion Introduction / Motivation • Despite the large number of research papers and compression algorithms proposed for compressing genomic data generated by sequencing machines, by far the most commonly used compression algorithm in the industry for FASTQ data is gzip. • The main drawbacks of the proposed alternative special-purpose compression algorithms are: • slow speed of either compression or decompression or both, and also their • brittleness by making various limiting assumptions about the input FASTQ format (for example, the structure of the headers or fixed lengths of the records [1]) in order to further improve their specialized compression. 1. Ibrahim Numanagic, James K Bonfield, Faraz Hach, Jan Voges, Jorn Ostermann, Claudio Alberti, Marco Mattavelli, and S Cenk Sahinalp. Comparison of high-throughput sequencing data compression tools. Nature Methods, 13(12):1005–1008, October 2016. Fast and Efficient Compression of Next Generation Sequencing Data 2 2 General Purpose Compression of Genomic Data As stated earlier, gzip/zlib compression is the method of choice by the industry for FASTQ genomic data. FASTQ genomic data is a text-based format (ASCII readable text) for storing a biological sequence and the corresponding quality scores. Each sequence letter and quality score is encoded with a single ASCII character. FASTQ data is structured in four fields per record (a “read”). The first field is the SEQUENCE ID or the header of the read. -
Cluster-Based Delta Compression of a Collection of Files Department of Computer and Information Science
Cluster-Based Delta Compression of a Collection of Files Zan Ouyang Nasir Memon Torsten Suel Dimitre Trendafilov Department of Computer and Information Science Technical Report TR-CIS-2002-05 12/27/2002 Cluster-Based Delta Compression of a Collection of Files Zan Ouyang Nasir Memon Torsten Suel Dimitre Trendafilov CIS Department Polytechnic University Brooklyn, NY 11201 Abstract Delta compression techniques are commonly used to succinctly represent an updated ver- sion of a file with respect to an earlier one. In this paper, we study the use of delta compression in a somewhat different scenario, where we wish to compress a large collection of (more or less) related files by performing a sequence of pairwise delta compressions. The problem of finding an optimal delta encoding for a collection of files by taking pairwise deltas can be re- duced to the problem of computing a branching of maximum weight in a weighted directed graph, but this solution is inefficient and thus does not scale to larger file collections. This motivates us to propose a framework for cluster-based delta compression that uses text clus- tering techniques to prune the graph of possible pairwise delta encodings. To demonstrate the efficacy of our approach, we present experimental results on collections of web pages. Our experiments show that cluster-based delta compression of collections provides significant im- provements in compression ratio as compared to individually compressing each file or using tar+gzip, at a moderate cost in efficiency. A shorter version of this paper appears in the Proceedings of the 3rd International Con- ference on Web Information Systems Engineering (WISE), December 2002. -
Full Document
R&D Centre for Mobile Applications (RDC) FEE, Dept of Telecommunications Engineering Czech Technical University in Prague RDC Technical Report TR-13-4 Internship report Evaluation of Compressibility of the Output of the Information-Concealing Algorithm Julien Mamelli, [email protected] 2nd year student at the Ecole´ des Mines d'Al`es (N^ımes,France) Internship supervisor: Luk´aˇsKencl, [email protected] August 2013 Abstract Compression is a key element to exchange files over the Internet. By generating re- dundancies, the concealing algorithm proposed by Kencl and Loebl [?], appears at first glance to be particularly designed to be combined with a compression scheme [?]. Is the output of the concealing algorithm actually compressible? We have tried 16 compression techniques on 1 120 files, and the result is that we have not found a solution which could advantageously use repetitions of the concealing method. Acknowledgments I would like to express my gratitude to my supervisor, Dr Luk´aˇsKencl, for his guidance and expertise throughout the course of this work. I would like to thank Prof. Robert Beˇst´akand Mr Pierre Runtz, for giving me the opportunity to carry out my internship at the Czech Technical University in Prague. I would also like to thank all the members of the Research and Development Center for Mobile Applications as well as my colleagues for the assistance they have given me during this period. 1 Contents 1 Introduction 3 2 Related Work 4 2.1 Information concealing method . 4 2.2 Archive formats . 5 2.3 Compression algorithms . 5 2.3.1 Lempel-Ziv algorithm . -
The Basic Principles of Data Compression
The Basic Principles of Data Compression Author: Conrad Chung, 2BrightSparks Introduction Internet users who download or upload files from/to the web, or use email to send or receive attachments will most likely have encountered files in compressed format. In this topic we will cover how compression works, the advantages and disadvantages of compression, as well as types of compression. What is Compression? Compression is the process of encoding data more efficiently to achieve a reduction in file size. One type of compression available is referred to as lossless compression. This means the compressed file will be restored exactly to its original state with no loss of data during the decompression process. This is essential to data compression as the file would be corrupted and unusable should data be lost. Another compression category which will not be covered in this article is “lossy” compression often used in multimedia files for music and images and where data is discarded. Lossless compression algorithms use statistic modeling techniques to reduce repetitive information in a file. Some of the methods may include removal of spacing characters, representing a string of repeated characters with a single character or replacing recurring characters with smaller bit sequences. Advantages/Disadvantages of Compression Compression of files offer many advantages. When compressed, the quantity of bits used to store the information is reduced. Files that are smaller in size will result in shorter transmission times when they are transferred on the Internet. Compressed files also take up less storage space. File compression can zip up several small files into a single file for more convenient email transmission. -
Dspic DSC Speex Speech Encoding/Decoding Library As a Development Tool to Emulate and Debug Firmware on a Target Board
dsPIC® DSC Speex Speech Encoding/Decoding Library User’s Guide © 2008-2011 Microchip Technology Inc. DS70328C Note the following details of the code protection feature on Microchip devices: • Microchip products meet the specification contained in their particular Microchip Data Sheet. • Microchip believes that its family of products is one of the most secure families of its kind on the market today, when used in the intended manner and under normal conditions. • There are dishonest and possibly illegal methods used to breach the code protection feature. All of these methods, to our knowledge, require using the Microchip products in a manner outside the operating specifications contained in Microchip’s Data Sheets. Most likely, the person doing so is engaged in theft of intellectual property. • Microchip is willing to work with the customer who is concerned about the integrity of their code. • Neither Microchip nor any other semiconductor manufacturer can guarantee the security of their code. Code protection does not mean that we are guaranteeing the product as “unbreakable.” Code protection is constantly evolving. We at Microchip are committed to continuously improving the code protection features of our products. Attempts to break Microchip’s code protection feature may be a violation of the Digital Millennium Copyright Act. If such acts allow unauthorized access to your software or other copyrighted work, you may have a right to sue for relief under that Act. Information contained in this publication regarding device Trademarks applications and the like is provided only for your convenience The Microchip name and logo, the Microchip logo, dsPIC, and may be superseded by updates. -
Encryption Introduction to Using 7-Zip
IT Services Training Guide Encryption Introduction to using 7-Zip It Services Training Team The University of Manchester email: [email protected] www.itservices.manchester.ac.uk/trainingcourses/coursesforstaff Version: 5.3 Training Guide Introduction to Using 7-Zip Page 2 IT Services Training Introduction to Using 7-Zip Table of Contents Contents Introduction ......................................................................................................................... 4 Compress/encrypt individual files ....................................................................................... 5 Email compressed/encrypted files ....................................................................................... 8 Decrypt an encrypted file ..................................................................................................... 9 Create a self-extracting encrypted file .............................................................................. 10 Decrypt/un-zip a file .......................................................................................................... 14 APPENDIX A Downloading and installing 7-Zip ................................................................. 15 Help and Further Reference ............................................................................................... 18 Page 3 Training Guide Introduction to Using 7-Zip Introduction 7-Zip is an application that allows you to: Compress a file – for example a file that is 5MB can be compressed to 3MB Secure the -
Metadefender Core V4.12.2
MetaDefender Core v4.12.2 © 2018 OPSWAT, Inc. All rights reserved. OPSWAT®, MetadefenderTM and the OPSWAT logo are trademarks of OPSWAT, Inc. All other trademarks, trade names, service marks, service names, and images mentioned and/or used herein belong to their respective owners. Table of Contents About This Guide 13 Key Features of Metadefender Core 14 1. Quick Start with Metadefender Core 15 1.1. Installation 15 Operating system invariant initial steps 15 Basic setup 16 1.1.1. Configuration wizard 16 1.2. License Activation 21 1.3. Scan Files with Metadefender Core 21 2. Installing or Upgrading Metadefender Core 22 2.1. Recommended System Requirements 22 System Requirements For Server 22 Browser Requirements for the Metadefender Core Management Console 24 2.2. Installing Metadefender 25 Installation 25 Installation notes 25 2.2.1. Installing Metadefender Core using command line 26 2.2.2. Installing Metadefender Core using the Install Wizard 27 2.3. Upgrading MetaDefender Core 27 Upgrading from MetaDefender Core 3.x 27 Upgrading from MetaDefender Core 4.x 28 2.4. Metadefender Core Licensing 28 2.4.1. Activating Metadefender Licenses 28 2.4.2. Checking Your Metadefender Core License 35 2.5. Performance and Load Estimation 36 What to know before reading the results: Some factors that affect performance 36 How test results are calculated 37 Test Reports 37 Performance Report - Multi-Scanning On Linux 37 Performance Report - Multi-Scanning On Windows 41 2.6. Special installation options 46 Use RAMDISK for the tempdirectory 46 3. Configuring Metadefender Core 50 3.1. Management Console 50 3.2. -
Steganography and Vulnerabilities in Popular Archives Formats.| Nyxengine Nyx.Reversinglabs.Com
Hiding in the Familiar: Steganography and Vulnerabilities in Popular Archives Formats.| NyxEngine nyx.reversinglabs.com Contents Introduction to NyxEngine ............................................................................................................................ 3 Introduction to ZIP file format ...................................................................................................................... 4 Introduction to steganography in ZIP archives ............................................................................................. 5 Steganography and file malformation security impacts ............................................................................... 8 References and tools .................................................................................................................................... 9 2 Introduction to NyxEngine Steganography1 is the art and science of writing hidden messages in such a way that no one, apart from the sender and intended recipient, suspects the existence of the message, a form of security through obscurity. When it comes to digital steganography no stone should be left unturned in the search for viable hidden data. Although digital steganography is commonly used to hide data inside multimedia files, a similar approach can be used to hide data in archives as well. Steganography imposes the following data hiding rule: Data must be hidden in such a fashion that the user has no clue about the hidden message or file's existence. This can be achieved by -
GNU CPIO GNU Cpio 2.5 June 2002
GNU CPIO GNU cpio 2.5 June 2002 by Robert Carleton Copyright c 1995, 2001, 2002 Free Software Foundation, Inc. This is the first edition of the GNU cpio documentation, and is consistent with GNU cpio 2.5. Published by the Free Software Foundation 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the con- ditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into another lan- guage, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the Free Software Foundation. Chapter 2: Tutorial 1 1 Introduction GNU cpio copies files into or out of a cpio or tar archive, The archive can be another file on the disk, a magnetic tape, or a pipe. GNU cpio supports the following archive formats: binary, old ASCII, new ASCII, crc, HPUX binary, HPUX old ASCII, old tar, and POSIX.1 tar. The tar format is provided for compatability with the tar program. By default, cpio creates binary format archives, for compatibility with older cpio programs. When extracting from archives, cpio automatically recognizes which kind of archive it is reading and can read archives created on machines with a different byte-order. -
Lossless Compression of Internal Files in Parallel Reservoir Simulation
Lossless Compression of Internal Files in Parallel Reservoir Simulation Suha Kayum Marcin Rogowski Florian Mannuss 9/26/2019 Outline • I/O Challenges in Reservoir Simulation • Evaluation of Compression Algorithms on Reservoir Simulation Data • Real-world application - Constraints - Algorithm - Results • Conclusions 2 Challenge Reservoir simulation 1 3 Reservoir Simulation • Largest field in the world are represented as 50 million – 1 billion grid block models • Each runs takes hours on 500-5000 cores • Calibrating the model requires 100s of runs and sophisticated methods • “History matched” model is only a beginning 4 Files in Reservoir Simulation • Internal Files • Input / Output Files - Interact with pre- & post-processing tools Date Restart/Checkpoint Files 5 Reservoir Simulation in Saudi Aramco • 100’000+ simulations annually • The largest simulation of 10 billion cells • Currently multiple machines in TOP500 • Petabytes of storage required 600x • Resources are Finite • File Compression is one solution 50x 6 Compression algorithm evaluation 2 7 Compression ratio Tested a number of algorithms on a GRID restart file for two models 4 - Model A – 77.3 million active grid blocks 3.5 - Model K – 8.7 million active grid blocks 3 - 15.6 GB and 7.2 GB respectively 2.5 2 Compression ratio is between 1.5 1 compression ratio compression - From 2.27 for snappy (Model A) 0.5 0 - Up to 3.5 for bzip2 -9 (Model K) Model A Model K lz4 snappy gzip -1 gzip -9 bzip2 -1 bzip2 -9 8 Compression speed • LZ4 and Snappy significantly outperformed other algorithms