DOCSLIB.ORG

Android Programming with Kotlin for Beginners

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Android Programming with Kotlin for Beginners Android Programming with Kotlin for Beginners Build Android apps starting from zero programming experience with the new Kotlin programming language John Horton BIRMINGHAM - MUMBAI Android Programming with Kotlin for Beginners Copyright © 2019 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. Commissioning Editor: Pavan Ramchandani Acquisition Editor: Larissa Pinto Content Development Editor: Smit Carvalho Technical Editor: Surabhi Kulkarni Copy Editor: Safis Editing Project Coordinator: Kinjal Bari Proofreader: Safis Editing Indexers: Pratik Shirodkar Graphics: Alishon Mendonsa Production Coordinator: Arvindkumar Gupta First published: April 2019 Production reference: 1260419 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78961-540-1 www.packtpub.com I think that everybody has an app inside of them, and all you need do is work hard enough to get it out of you. For Jo, Jack, James, Ray, Rita, and Missy. mapt.io Mapt is an online digital library that gives you full access to over 5,000 books and videos, as well as industry leading tools to help you plan your personal development and advance your career. For more information, please visit our website. Why subscribe? • Spend less time learning and more time coding with practical eBooks and Videos from over 4,000 industry professionals • Learn better with Skill Plans built especially for you • Get a free eBook or video every month • Mapt is fully searchable • Copy and paste, print, and bookmark content Packt.com Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.Packt.com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at [email protected] for more details. At www.Packt.com, you can also read a collection of free technical articles, sign up for a range of free newsletters, and receive exclusive discounts and offers on Packt books and eBooks. Contributors About the author John Horton is a programming and gaming enthusiast based in the UK. He has a passion for writing apps, games, books, and blog articles. He is the founder of Game Code School. About the reviewers Ashok Kumar S has been working in the mobile development domain for about six years. In his early days, he was a JavaScript and Node developer. With his strong web development skills, he mastered web and mobile development. He is a Google-certified engineer, a speaker at global conferences, such as DroidCon Berlin and MODS, and he also runs a YouTube channel called AndroidABCD for Android developers. He also contributes heavily to open source to improve his e-karma. He has written books on WearOS programming and the Firebase toolchain. Ashok has also reviewed books on mobile and web development, namely Mastering Junit5, Android Programming for Beginners, and Developing Enterprise Applications Using JavaScript. Mitchell Wong Ho was born in Johannesburg, South Africa, where he completed his national diploma in electrical engineering. Mitchell's software development career started on embedded systems and then moved to Microsoft desktop/server applications. Mitchell has been programming in Java since 2000 on J2ME, JEE, desktop, and Android applications, and has more recently been advocating Kotlin for Android. Packt is searching for authors like you If you're interested in becoming an author for Packt, please visit authors.packtpub. com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea. Table of Contents Preface xv Chapter 1: Getting Started with Android and Kotlin 1 Why use Kotlin and Android? 2 The beginner's first stumbling block 3 How Kotlin and Android work together 3 The Android API 5 Kotlin is object-oriented 6 Run that by me again – what, exactly, is Android? 7 Android Studio 8 Setting up Android Studio 9 Final step – for now 16 What makes an Android app? 17 Android resources 17 The structure of Android's code 18 Packages 18 Classes 19 Functions 19 Our first Android app 19 Possible extra step 1 24 Possible extra step 2 25 Deploying the app so far 25 Running and debugging the app on an Android emulator 26 Running the app on a real device 29 Frequently asked question 30 Summary 31 [ i ] Table of Contents Chapter 2: Kotlin, XML, and the UI Designer 33 Examining the log output 33 Filtering the logcat output 35 Exploring the project's Kotlin code and the main layout's XML code 35 Examining the MainActivity.kt file 35 Code folding (hiding) in Android Studio 36 The package declaration 37 Importing classes 37 The class declaration 38 Functions inside the class 38 A summary of the Kotlin code so far 39 Examining the main layout file 39 UI layout elements 41 UI text elements 42 Adding buttons to the main layout file 43 Adding a button via the visual designer 43 Editing the button's attributes 45 Examining the XML code for the new button 48 Adding a button by editing the XML code 49 Giving the buttons unique id attributes 51 Positioning the two buttons in the layout 52 Making the buttons call different functions 55 Leaving comments in our Kotlin code 56 Coding messages to the user and the developer 57 Writing our first Kotlin code 57 Adding message code to the onCreate function 58 Examining the output 59 Writing our own Kotlin functions 60 Examining the output 62 Frequently asked questions 63 Summary 64 Chapter 3: Exploring Android Studio and the Project Structure 65 A quick guided tour of Android Studio 66 Project Explorer and project anatomy 68 The Empty Activity project 68 Exploring the Empty Activity project 70 The manifests folder 71 The java folder 74 The res folder 76 The res/drawable folder 76 The res/layout folder 77 The res/mipmap folder 78 The res/values folder 79 [ ii ] Table of Contents The Basic Activity project 84 Exploring the Basic Activity project 85 The MainActivity.kt file 85 The activity_main.xml file 86 The extra functions in MainActivity.kt 88 The content_main.xml file 89 Exploring the Android emulator 89 The emulator control panel 90 Using the emulator as a real device 92 Accessing the app drawer 93 Viewing active apps and switching between apps 94 Summary 95 Chapter 4: Getting Started with Layouts and Material Design 97 Material design 98 Exploring Android UI design 98 Layouts 99 Creating the Exploring Layouts project 99 Building a menu with LinearLayout 100 Adding a LinearLayout to the project 101 Preparing your workspace 102 Examining the generated XML 103 Adding a TextView to the UI 103 Adding a multi-line TextView to the UI 106 Wiring up the UI with the Kotlin code (part 1) 108 Adding layouts within layouts 110 Making the layout look pretty 114 Wiring up the UI with the Kotlin code (part 2) 116 Building a precise UI with ConstraintLayout 116 Adding a CalenderView 116 Resizing a view in a ConstraintLayout 117 Using the Component Tree window 118 Adding constraints manually 120 Adding and constraining more UI elements 121 Making the text clickable 125 Laying out data with TableLayout 126 Adding a TableRow to TableLayout 126 Using the Component Tree when the visual designer won't do 127 Organizing the table columns 128 Linking back to the main menu 130 Summary 131 [ iii ] Table of Contents Chapter 5: Beautiful Layouts with CardView and ScrollView 133 Attributes – a quick summary 133 Sizing using dp 134 Sizing fonts using sp 134 Determining size with wrap or match 135 Using padding and margin 137 Using the layout_weight property 138 Using gravity 139 Building a UI with CardView and ScrollView 141 Setting the view with Kotlin code 142 Adding image resources 142 Creating the content for the cards 143 Defining dimensions for CardView 147 Adding CardView to our layout 147 Including layout files inside another layout 149 Themes and material design 152 Using the Android Studio theme designer 153 Creating a tablet emulator 156 Frequently asked question 159 Summary 159 Chapter 6: The Android Lifecycle 161 The life and times of an Android app 162 How Android interacts with our apps 162 A simplified explanation of the Android lifecycle 163 The lifecycle phases demystified 164 How we handle the lifecycle phases 165 The lifecycle demo app 168 Coding the lifecycle demo app 168 Running the lifecycle demo app 171 Examining the lifecycle demo app output 172 Some other overridden functions 173 The structure of Kotlin code – revisited 175 Summary 176 Chapter 7: Kotlin Variables, Operators, and Expressions 177
Load more

Recommended publications
  • Schematic Entry
    Schematic Entry Copyrights Software, documentation and related materials: Copyright © 2002 Altium Limited This software product is copyrighted and all rights are reserved. The distribution and sale of this product are intended for the use of the original purchaser only per the terms of the License Agreement. This document may not, in whole or part, be copied, photocopied, reproduced, translated, reduced or transferred to any electronic medium or machine-readable form without prior consent in writing from Altium Limited. U.S. Government use, duplication or disclosure is subject to RESTRICTED RIGHTS under applicable government regulations pertaining to trade secret, commercial computer software developed at private expense, including FAR 227-14 subparagraph (g)(3)(i), Alternative III and DFAR 252.227-7013 subparagraph (c)(1)(ii). P-CAD is a registered trademark and P-CAD Schematic, P-CAD Relay, P-CAD PCB, P-CAD ProRoute, P-CAD QuickRoute, P-CAD InterRoute, P-CAD InterRoute Gold, P-CAD Library Manager, P-CAD Library Executive, P-CAD Document Toolbox, P-CAD InterPlace, P-CAD Parametric Constraint Solver, P-CAD Signal Integrity, P-CAD Shape-Based Autorouter, P-CAD DesignFlow, P-CAD ViewCenter, Master Designer and Associate Designer are trademarks of Altium Limited. Other brand names are trademarks of their respective companies. Altium Limited www.altium.com Table of Contents chapter 1 Introducing P-CAD Schematic P-CAD Schematic Features ................................................................................................1 About
    [Show full text]
  • 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
    [Show full text]
  • Arrow: Integration to 'Apache' 'Arrow'
    Package ‘arrow’ September 5, 2021 Title Integration to 'Apache' 'Arrow' Version 5.0.0.2 Description 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library. Depends R (>= 3.3) License Apache License (>= 2.0) URL https://github.com/apache/arrow/, https://arrow.apache.org/docs/r/ BugReports https://issues.apache.org/jira/projects/ARROW/issues Encoding UTF-8 Language en-US SystemRequirements C++11; for AWS S3 support on Linux, libcurl and openssl (optional) Biarch true Imports assertthat, bit64 (>= 0.9-7), methods, purrr, R6, rlang, stats, tidyselect, utils, vctrs RoxygenNote 7.1.1.9001 VignetteBuilder knitr Suggests decor, distro, dplyr, hms, knitr, lubridate, pkgload, reticulate, rmarkdown, stringi, stringr, testthat, tibble, withr Collate 'arrowExports.R' 'enums.R' 'arrow-package.R' 'type.R' 'array-data.R' 'arrow-datum.R' 'array.R' 'arrow-tabular.R' 'buffer.R' 'chunked-array.R' 'io.R' 'compression.R' 'scalar.R' 'compute.R' 'config.R' 'csv.R' 'dataset.R' 'dataset-factory.R' 'dataset-format.R' 'dataset-partition.R' 'dataset-scan.R' 'dataset-write.R' 'deprecated.R' 'dictionary.R' 'dplyr-arrange.R' 'dplyr-collect.R' 'dplyr-eval.R' 'dplyr-filter.R' 'expression.R' 'dplyr-functions.R' 1 2 R topics documented: 'dplyr-group-by.R' 'dplyr-mutate.R' 'dplyr-select.R' 'dplyr-summarize.R'
    [Show full text]
  • Summer 2010 PPAXAXCENTURIONCENTURION Boston Police Patrolmen’S Association, Inc
    Boston Police Patrolmen’s Association, Inc. PRST. STD. 9-11 Shetland Street U.S. POSTAGE Flagwoman in Boston, Massachusetts 02119 PAID PERMIT NO. 2226 South Boston at WORCESTER, MA $53.00 per hour! Where’s the Globe photographer? See the back and forth with the Globe’s Scot Lehigh. See pages A10 & A11 Nation’s First Police Department • Established 1854 Volume 40, Number 3 • Summer 2010 PPAXAXCENTURIONCENTURION Boston Police Patrolmen’s Association, Inc. Boston Emergency Medical Technicians NATIONAL ASSOCIATION OF POLICE ORGANIZATIONS A DISGRACE!!! Police Picket Patrick City gives Woodman family, Thousands attend two-day picket, attorney Gov. Patrick jeered, AZ Gov. Brewer cheered By Jim Carnell, Pax Editor $3 million housands of Massachusetts municipal settlement Tpolice officers showed up to demon- strate at the National Governor’s Associa- By Jim Carnell, Pax Editor tion meeting held recently in Boston, hosted n yet another discouraging, insulting by our own little Lord Fauntleroy, Gover- slap at working police officers, the city I nor Deval Patrick. recently gave the family of David On Friday, July 9th, about three thousand Woodman and cop-hating Attorney officers appeared outside of Fenway Park Howard Friedman $3 million dollars, to greet the Governors and their staffs at an despite the fact that a formal lawsuit had event featuring our diminutive Governor. not even been filed. Governor Patrick has focused his (and his Woodman died at the Beth Israel allies in the bought-and-sold local media) Hospital eleven days after his initial en- attention upon police officers in particular, counter with police following the Celtics’ attacking police officer’s pay, benefits and 2008 victory.
    [Show full text]
  • Parquet Data Format Performance
    Parquet data format performance Jim Pivarski Princeton University { DIANA-HEP February 21, 2018 1 / 22 What is Parquet? 1974 HBOOK tabular rowwise FORTRAN first ntuples in HEP 1983 ZEBRA hierarchical rowwise FORTRAN event records in HEP 1989 PAW CWN tabular columnar FORTRAN faster ntuples in HEP 1995 ROOT hierarchical columnar C++ object persistence in HEP 2001 ProtoBuf hierarchical rowwise many Google's RPC protocol 2002 MonetDB tabular columnar database “first” columnar database 2005 C-Store tabular columnar database also early, became HP's Vertica 2007 Thrift hierarchical rowwise many Facebook's RPC protocol 2009 Avro hierarchical rowwise many Hadoop's object permanance and interchange format 2010 Dremel hierarchical columnar C++, Java Google's nested-object database (closed source), became BigQuery 2013 Parquet hierarchical columnar many open source object persistence, based on Google's Dremel paper 2016 Arrow hierarchical columnar many shared-memory object exchange 2 / 22 What is Parquet? 1974 HBOOK tabular rowwise FORTRAN first ntuples in HEP 1983 ZEBRA hierarchical rowwise FORTRAN event records in HEP 1989 PAW CWN tabular columnar FORTRAN faster ntuples in HEP 1995 ROOT hierarchical columnar C++ object persistence in HEP 2001 ProtoBuf hierarchical rowwise many Google's RPC protocol 2002 MonetDB tabular columnar database “first” columnar database 2005 C-Store tabular columnar database also early, became HP's Vertica 2007 Thrift hierarchical rowwise many Facebook's RPC protocol 2009 Avro hierarchical rowwise many Hadoop's object permanance and interchange format 2010 Dremel hierarchical columnar C++, Java Google's nested-object database (closed source), became BigQuery 2013 Parquet hierarchical columnar many open source object persistence, based on Google's Dremel paper 2016 Arrow hierarchical columnar many shared-memory object exchange 2 / 22 Developed independently to do the same thing Google Dremel authors claimed to be unaware of any precedents, so this is an example of convergent evolution.
    [Show full text]
  • The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on Iot Nodes in Smart Cities
    sensors Article The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on IoT Nodes in Smart Cities Ammar Nasif *, Zulaiha Ali Othman and Nor Samsiah Sani Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science & Technology, University Kebangsaan Malaysia, Bangi 43600, Malaysia; [email protected] (Z.A.O.); [email protected] (N.S.S.) * Correspondence: [email protected] Abstract: Networking is crucial for smart city projects nowadays, as it offers an environment where people and things are connected. This paper presents a chronology of factors on the development of smart cities, including IoT technologies as network infrastructure. Increasing IoT nodes leads to increasing data flow, which is a potential source of failure for IoT networks. The biggest challenge of IoT networks is that the IoT may have insufficient memory to handle all transaction data within the IoT network. We aim in this paper to propose a potential compression method for reducing IoT network data traffic. Therefore, we investigate various lossless compression algorithms, such as entropy or dictionary-based algorithms, and general compression methods to determine which algorithm or method adheres to the IoT specifications. Furthermore, this study conducts compression experiments using entropy (Huffman, Adaptive Huffman) and Dictionary (LZ77, LZ78) as well as five different types of datasets of the IoT data traffic. Though the above algorithms can alleviate the IoT data traffic, adaptive Huffman gave the best compression algorithm. Therefore, in this paper, Citation: Nasif, A.; Othman, Z.A.; we aim to propose a conceptual compression method for IoT data traffic by improving an adaptive Sani, N.S.
    [Show full text]
  • Forcepoint DLP Supported File Formats and Size Limits
    Forcepoint DLP Supported File Formats and Size Limits Supported File Formats and Size Limits | Forcepoint DLP | v8.8.1 This article provides a list of the file formats that can be analyzed by Forcepoint DLP, file formats from which content and meta data can be extracted, and the file size limits for network, endpoint, and discovery functions. See: ● Supported File Formats ● File Size Limits © 2021 Forcepoint LLC Supported File Formats Supported File Formats and Size Limits | Forcepoint DLP | v8.8.1 The following tables lists the file formats supported by Forcepoint DLP. File formats are in alphabetical order by format group. ● Archive For mats, page 3 ● Backup Formats, page 7 ● Business Intelligence (BI) and Analysis Formats, page 8 ● Computer-Aided Design Formats, page 9 ● Cryptography Formats, page 12 ● Database Formats, page 14 ● Desktop publishing formats, page 16 ● eBook/Audio book formats, page 17 ● Executable formats, page 18 ● Font formats, page 20 ● Graphics formats - general, page 21 ● Graphics formats - vector graphics, page 26 ● Library formats, page 29 ● Log formats, page 30 ● Mail formats, page 31 ● Multimedia formats, page 32 ● Object formats, page 37 ● Presentation formats, page 38 ● Project management formats, page 40 ● Spreadsheet formats, page 41 ● Text and markup formats, page 43 ● Word processing formats, page 45 ● Miscellaneous formats, page 53 Supported file formats are added and updated frequently. Key to support tables Symbol Description Y The format is supported N The format is not supported P Partial metadata
    [Show full text]
  • Pdfnews 10/04, Page 2 –
    Precursor PDF News 10:4 Adobe InDesign to Challenge Quark At last week’s Seybold conference in Boston, Adobe Systems finally took the wraps off its upcoming “Quark-killer” called InDesign. The new-from-the-ground-up page layout program is set for a summer debut. InDesign will be able to open QuarkXPress 3 and 4 documents and will even offer a set of Quark keyboard shortcuts. The beefy new program will also offer native Photoshop, Illustrator and PDF file format support. The PDF capabilities in particular will change workflows to PostScript 3 output devices. Pricing is expected to be $699 U.S. Find out more on- line at: http://www.adobe.com/prodindex/indesign/main.html PageMaker 6.5 Plus: Focus on Business With the appearance on InDesign, Adobe PageMaker Plus has been targeted toward business customers with increased integration with Microsoft Office products, more templates and included Photoshop 5.0 Limited Edition in the box. Upgrade prices are $99 U.S. PageMaker Plus is expected to ship by the end of March. Find out more on-line at: http://www.adobe.com/prodindex/pagemaker/main.html Adobe Acrobat 4.0 Also at Seybold, Adobe announced that Acrobat 4.0 will ship in late March for $249 ($99 for upgrades) The new version offers Press Optimization for PDF file creation and provides the ability to view a document with the fonts it was created with or fonts native to the viewing machine. Greater post file creation editing capabilities are also built-in And, of course, the new version is 100% hooked in to PostScript 3.
    [Show full text]
  • Bicriteria Data Compression∗
    Bicriteria data compression∗ Andrea Farruggia, Paolo Ferragina, Antonio Frangioni, and Rossano Venturini Dipartimento di Informatica, Universit`adi Pisa, Italy ffarruggi, ferragina, frangio, [email protected] Abstract lem, named \compress once, decompress many times", In this paper we address the problem of trading that can be cast into two main families: the com- optimally, and in a principled way, the compressed pressors based on the Burrows-Wheeler Transform [6], size/decompression time of LZ77 parsings by introduc- and the ones based on the Lempel-Ziv parsing scheme ing what we call the Bicriteria LZ77-Parsing problem. [35, 36]. Compressors are known in both families that The goal is to determine an LZ77 parsing which require time linear in the input size, both for compress- minimizes the space occupancy in bits of the compressed ing and decompressing the data, and take compressed- file, provided that the decompression time is bounded space which can be bound in terms of the k-th order by T . Symmetrically, we can exchange the role of empirical entropy of the input [25, 35]. the two resources and thus ask for minimizing the But the compressors running behind those large- decompression time provided that the compressed space scale storage systems are not derived from those scien- is bounded by a fixed amount given in advance. tific results. The reason relies in the fact that theo- We address this goal in three stages: (i) we intro- retically efficient compressors are optimal in the RAM duce the novel Bicriteria LZ77-Parsing problem which model, but they elicit many cache/IO misses during formalizes in a principled way what data-compressors the decompression step.
    [Show full text]
  • Pentaho Big Data Plugin 7.1.0.0 Open Source Software Packages
    Pentaho Big Data Plugin 7.1.0.0 Open Source Software Packages Contact Information: Project Manager Pentaho Big Data Plugin Hitachi Vantara Corporation 2535 Augustine Drive Santa Clara, California 95054 Name of Product/Product Version License Component [ini4j] 0.5.1 Apache License Version 2.0 An open source Java toolkit for 0.9.0 Apache License Version 2.0 Amazon S3 Annotation 1.0 1.1.1 Apache License Version 2.0 Annotation 1.1 1.0.1 Apache License Version 2.0 ANTLR 3 Complete 3.5.2 ANTLR License Antlr 3.4 Runtime 3.4 ANTLR License ANTLR, ANother Tool for Language 2.7.7 ANTLR License Recognition AOP Alliance (Java/J2EE AOP 1.0 Public Domain standard) Apache Ant Core 1.9.1 Apache License Version 2.0 Apache Ant Launcher 1.9.1 Apache License Version 2.0 Apache Aries Blueprint API 1.0.1 Apache License Version 2.0 Name of Product/Product Version License Component Apache Aries Blueprint CM 1.0.5 Apache License Version 2.0 Apache Aries Blueprint Core 1.4.2 Apache License Version 2.0 Apache Aries Blueprint Core 1.0.0 Apache License Version 2.0 Compatiblity Fragment Bundle Apache Aries JMX API 1.1.1 Apache License Version 2.0 Apache Aries JMX Blueprint API 1.1.0 Apache License Version 2.0 Apache Aries JMX Blueprint Core 1.1.0 Apache License Version 2.0 Apache Aries JMX Core 1.1.2 Apache License Version 2.0 Apache Aries JMX Whiteboard 1.0.0 Apache License Version 2.0 Apache Aries Proxy API 1.0.1 Apache License Version 2.0 Apache Aries Proxy Service 1.0.4 Apache License Version 2.0 Apache Aries Quiesce API 1.0.0 Apache License Version 2.0 Apache
    [Show full text]
  • Modern Lossless Compression Techniques: Review, Comparison and Analysis
    JAC : A Journal Of Composition Theory ISSN : 0731-6755 Modern Lossless Compression Techniques: Review, Comparison and Analysis B ASHA KIRAN, M MOUNIKA,B L SRINIVAS Dept of EEE , MRIET. Abstract— With the world drifting more and more enables its storage and transmission over a limited towards the social network, the size and amount of bandwidth channel. Fig.1 shows basic components of a data shared over the internet is increasing day by day. data compression system. The input data is processed by a Since the network bandwidth is always limited, we Data Compressor, which usually iterates over the data require efficient compression algorithms to facilitate twice. In the first iteration, the compression algorithm fast and efficient sharing of data over the network. In tries to gain knowledge about the data which in turn is this paper, we discuss algorithms of widely used used for efficient compression in the second iteration. The traditional and modern compression techniques. In an compressed data along with the additional data used for effort to find the optimum compression algorithm, we efficient compression is then stored or transmitted through compare commonly used modern compression a network to the receiver. The receiver then decompresses algorithms: Deflate, Bzip2, LZMA, PPMd and the data using a decompression algorithm. Though data PPMonstr by analyzing their performance on Silesia compression can reduce the bandwidth usage of a network corpus. The corpus comprises of files of varied type and the storage space, it requires additional computational and sizes, which accurately simulates the vast diversity resources for compression and decompression of data, and of files shared over the internet.
    [Show full text]
  • High-Throughput Variable-To-Fixed Entropy Codec Using Selective, Stochastic Code Forests
    Received March 5, 2020, accepted April 27, 2020, date of publication April 29, 2020, date of current version May 14, 2020. Digital Object Identifier 10.1109/ACCESS.2020.2991314 High-Throughput Variable-to-Fixed Entropy Codec Using Selective, Stochastic Code Forests MANUEL MARTÍNEZ TORRES 1, MIGUEL HERNÁNDEZ-CABRONERO 2, IAN BLANES 2, (Senior Member, IEEE), AND JOAN SERRA-SAGRISTÀ 2, (Senior Member, IEEE) 1Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany 2Information and Communications Engineering, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain Corresponding author: Miguel Hernández-Cabronero ([email protected]) This was supported in part by the Postdoctoral Fellowship Program Beatriu de Pinós through the Secretary of Universities and Research (Government of Catalonia) under Grant 2018-BP-00008, in part by the Horizon 2020 Program of Research and Innovation of the European Union under the Marie Skªodowska-Curie under Grant 801370, in part by the Spanish Government under Grant RTI2018-095287-B-I00, and in part by the Catalan Government under Grant 2017SGR-463. ABSTRACT Efficient high-throughput (HT) compression algorithms are paramount to meet the stringent constraints of present and upcoming data storage, processing, and transmission systems. In particular, latency, bandwidth and energy requirements are critical for those systems. Most HT codecs are designed to maximize compression speed, and secondarily to minimize compressed lengths. On the other hand, decompression speed is often equally or more critical than compression speed, especially in scenarios where decompression is performed multiple times and/or at critical parts of a system. In this work, an algorithm to design variable-to-fixed (VF) codes is proposed that prioritizes decompression speed.
    [Show full text]