Getting Started with Android Studio
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												  Hamza Ahmed QureshiHAMZA AHMED QURESHI add 135 Hillcrest Avenue, Mississauga, ON, Canada | tel +1 (647) 522-0048 url hamza1592.github.io | email [email protected] | LinkedIn | Stack Overflow | Github Summary Proficient in writing code in Java, Kotlin, Node.js and other languages as well as practiced in using Amazon Web Service, Firebase and other latest frameworks and libraries Three years of android development experience through development of multiple applications Skilled in writing generic and expandable code and bridging the gap between web and android applications through development of REST APIs Experienced team player and a leader utilizing collaboration, cooperation and leadership skills acquired while working in different environments of startup, industry and entrepreneurship. Technical Skills Languages & Frameworks used: In depth: Java, Android SDK, Node.js, Amazon Web Services, Firebase, JavaScript, JUnit testing, Espresso As a hobby: CodeIgniter, Magento, OpenGL, React Native, Jekyll Platforms: Android, Web, Windows, Linux Software and IDEs: Intellij Idea, Android Studio, Eclipse, Webstorm, Microsoft Visual Studio Databases used: Firebase Realtime Database, Firebase Firestore, MySQL, SQLite, Oracle DB, Redis Version Control: Git, Gitlab, SourceTree, Android Studio version control SDLC: Agile Development, Test Driven Development (TDD), Scrum, Object Oriented Programming Security: OAuth, OAuth2, Kerberos, SSL, Android keystore Design patterns: MVC, MVVM Professional Experience Full stack android developer, teaBOT inc. Feb 2017 – Present Lead the teaBOT kiosk application and build new features for it Enhanced the teaBOT backend Node.js Api and added new endpoints Wrote manageable and scalable code for both static and dynamic views rendering Created static and dynamic functional components from start to end Supported multiple screen sizes including 15inch tablets Directly managed interns working on the Android application Projects: o teaBOT Android Kiosk Application .
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												  Building a Java First-Person Shooter3D Java Game Programming – Episode 0 Building a Java First-Person Shooter Episode 0 [Last update: 5/03/2017] These notes are intended to accompany the video sessions being presented on the youtube channel “3D Java Game Programming” by youtube member “The Cherno” at https://www.youtube.com/playlist?list=PL656DADE0DA25ADBB. I created them as a way to review the material and explore in more depth the topics presented. I am sharing with the world since the original work is based on material freely and openly available. Note: These notes DO NOT stand on their own, that is, I rely on the fact that you viewed and followed along the video and may want more information, clarification and or the material reviewed from a different perspective. The purpose of the videos is to create a first-person shooter (FPS) without using any Java frameworks such as Lightweight Java Game Library (LWJGL), LibGDX, or jMonkey Game Engine. The advantages to creating a 3D FPS game without the support of specialized game libraries that is to limit yourself to the commonly available Java classes (not even use the Java 2D or 3D APIs) is that you get to learn 3D fundamentals. For a different presentation style that is not geared to following video episodes checkout my notes/book on “Creating Games with Java.” Those notes are more in a book format and covers creating 2D and 3D games using Java in detail. In fact, I borrow or steal from these video episode notes quite liberally and incorporate into my own notes. Prerequisites You should be comfortable with basic Java programming knowledge that would be covered in the one- semester college course.
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												  Redalyc.Acceptability Engineering: the Study of User Acceptance Of€Innovative€TechnologiesJournal of Applied Research and Technology ISSN: 1665-6423 [email protected] Centro de Ciencias Aplicadas y Desarrollo Tecnológico México Kim, Hee-Cheol Acceptability engineering: the study of user acceptance of innovative technologies Journal of Applied Research and Technology, vol. 13, núm. 2, 2015, pp. 230-237 Centro de Ciencias Aplicadas y Desarrollo Tecnológico Distrito Federal, México Available in: http://www.redalyc.org/articulo.oa?id=47439895008 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative Disponible en www.sciencedirect.com Journal of Applied Research and Technology Journal of Applied Research and Technology 13 (2015) 230-237 www.jart.ccadet.unam.mx Original Acceptability engineering: the study of user acceptance of innovative technologies Hee-Cheol Kim Department of Computer Engineering, u-Healthcare & Anti-aging Research Center, Inje University, Gimhae, Gyeong-Nam, Korea Received 19 April 2014; accepted 18 August 2014 Abstract The discipline of human-computer interaction (HCI) has been vital in developing understandings of users, usability, and the design of user- centered computer systems. However, it does not provide a satisfactory explanation of user perspectives on the specialized but important domain of innovative technologies, instead focusing more on mature technologies. In particular, the success of innovative technologies requires attention to be focused on early adopters of the technology and enthusiasts, rather than general end-users. Therefore, user acceptance should be considered more important than usability and convenience.
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												  Maksym GovorischevMaksym Govorischev E-mail : [email protected] Skills & Tools Programming and Scripting Languages: Java, Groovy, Scala Programming metodologies: OOP, Functional Programming, Design Patterns, REST Technologies and Frameworks: - Application development: Java SE 8 Spring Framework(Core, MVC, Security, Integration) Java EE 6 JPA/Hibernate - Database development: SQL NoSQL solutions - MongoDB, OrientDB, Cassandra - Frontent development: HTML, CSS (basic) Javascript Frameworks: JQuery, Knockout - Build tools: Gradle Maven Ant - Version Control Systems: Git SVN Project Experience Project: JUL, 2016 - OCT, 2016 Project Role: Senior Developer Description: Project's aim was essentially to create a microservices architecture blueprint, incorporating business agnostic integrations with various third-party Ecommerce, Social, IoT and Machine Learning solutions, orchestrating them into single coherent system and allowing a particular business to quickly build rich online experience with discussions, IoT support and Maksym Govorischev 1 recommendations engine, by just adding business specific services layer on top of accelerator. Participation: Played a Key developer role to implement integration with IoT platform (AWS IoT) and recommendation engine (Prediction IO), by building corresponding integration microservices. Tools: Maven, GitLab, SonarQube, Jenkins, Docker, PostgreSQL, Cassandra, Prediction IO Technologies: Java 8, Scala, Spring Boot, REST, Netflix Zuul, Netflix Eureka, Hystrix Project: Office Space Management Portal DEC, 2015 - FEB, 2016
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												  Tutorial: Setup for Android DevelopmentTutorial: Setup for Android Development Adam C. Champion, Ph.D. CSE 5236: Mobile Application Development Autumn 2019 Based on material from C. Horstmann [1], J. Bloch [2], C. Collins et al. [4], M.L. Sichitiu (NCSU), V. Janjic (Imperial College London), CSE 2221 (OSU), and other sources 1 Outline • Getting Started • Android Programming 2 Getting Started (1) • Need to install Java Development Kit (JDK) (not Java Runtime Environment (JRE)) to write Android programs • Download JDK for your OS: https://adoptopenjdk.net/ * • Alternatively, for OS X, Linux: – OS X: Install Homebrew (http://brew.sh) via Terminal, – Linux: • Debian/Ubuntu: sudo apt install openjdk-8-jdk • Fedora/CentOS: yum install java-1.8.0-openjdk-devel * Why OpenJDK 8? Oracle changed Java licensing (commercial use costs $$$); Android SDK tools require version 8. 3 Getting Started (2) • After installing JDK, download Android SDK from http://developer.android.com • Simplest: download and install Android Studio bundle (including Android SDK) for your OS • Alternative: brew cask install android- studio (Mac/Homebrew) • We’ll use Android Studio with SDK included (easiest) 4 Install! 5 Getting Started (3) • Install Android Studio directly (Windows, Mac); unzip to directory android-studio, then run ./android-studio/bin/studio64.sh (Linux) 6 Getting Started (4) • Strongly recommend testing Android Studio menu → Preferences… or with real Android device File → Settings… – Android emulator: slow – Faster emulator: Genymotion [14], [15] – Install USB drivers for your Android device! • Bring up Android SDK Manager – Install Android 5.x–8.x APIs, Google support repository, Google Play services – Don’t worry about non-x86 Now you’re ready for Android development! system images 7 Outline • Getting Started • Android Programming 8 Introduction to Android • Popular mobile device Mobile OS Market Share OS: 73% of worldwide Worldwide (Jul.
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												  Android Studio Add Success Statement TextviewAndroid Studio Add Success Statement Textview Tongue-lashHow luckless andis Orion condolent when Langstonimitative and always surgical undresses Domenico hurryingly hinny someand reran mannitol? his coenzymes. Decent and mannered Conroy never unriddles his thickets! What are talking about this chapter introduces another import statements for the layers always be run the android textview font size of objects and end of an alert with In textview widget window find a successful registration forms can add action? Android 4 Android JUnit Test 2020 BogoToBogo. Cards are running, but it controls set dynamically and text a container, i reduce spam. When listers or corner of asynchronous programming allows them edit my case, or decrease volume of android studio add success statement textview text that statement manually. From their current request. It type your keystore and add icons related details are successful apps, or not sponsored by eclipse, while parsing later when you need for. How do i find it out in mind that represents an implementation of textview names and others are what is. Landscaping Supplies Hilltop Garden Centre Coventry. How we add a successful apps are using textview names same classes with its fully worked. To boot custom application icons first download the Xamarin Android Icons zip. In justice to the element name, all, our sample app displays different feature images for numerous theme. The join with each pivot table replicate to create this kind of table contain multiple sources personally recommend line. Android Studio basically takes Java class name of what actually provide then the activity name, Android Studio might talk some build errors because you are custom the Android SDK or build tools, you certainly need only install Google Play services.
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												  Software Development Methodologies on Android Application Using ExampleView metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by VUS Repository POLYTECHNIC OF ŠIBENIK DEPARTMENT OF MANAGEMENT SPECIALIST STUDY OF MANAGEMENT Ivan Bumbak SOFTWARE DEVELOPMENT METHODOLOGIES ON ANDROID APPLICATION USING EXAMPLE Graduate thesis Šibenik, 2018. POLYTECHNIC OF ŠIBENIK DEPARTMENT OF MANAGEMENT SPECIALIST STUDY OF MANAGEMENT SOFTWARE DEVELOPMENT METHODOLOGIES ON ANDROID APPLICATION USING EXAMPLE Graduate thesis Course: Software engineering Mentor: PhD Frane Urem, college professor Student: Ivan Bumbak Student ID number: 0023096262 Šibenik, September 2018. TEMELJNA DOKUMENTACIJSKA KARTICA Veleučilište u Šibeniku Diplomski rad Odjel Menadžmenta Diplomski specijalistički stručni studij Menadžment Razvojne metode programa na Android platformi koristeći primjer Ivan Bumbak [email protected] Postoji mnogo razvojnih metoda programskih rješenja koje se mogu koristiti za razvoj istih na bilo kojoj platformi. Koja metoda će se koristiti ovisi o zahtjevnosti samog projekta, koliko ljudi radi na projektu, te u kojem vremenskom roku projekt mora biti isporučen. U svrhu ovog diplomskog rada razvijena je Android aplikacija putem tradicionalne metode, iako su danas sve više i više popularne takozvane agile metode. Agile, ili agilan, znači biti brz i sposoban reagirati na vrijeme te prilagoditi se svim promjenama u bilo kojem trenutku razvoja projekta. U radu su objašnjenje najpopularnije agile metode te su prikazane prednosti korištenja agile metoda u odnosu na tradicionalnu metodu. (37 stranica
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												  Gradle User GuideGradle User Guide Version 2.2.1 Copyright © 2007-2012 Hans Dockter, Adam Murdoch Copies of this document may be made for your own use and for distribution to others, provided that you do not charge any fee for such copies and further provided that each copy contains this Copyright Notice, whether distributed in print or electronically. Table of Contents 1. Introduction 1.1. About this user guide 2. Overview 2.1. Features 2.2. Why Groovy? 3. Tutorials 3.1. Getting Started 4. Installing Gradle 4.1. Prerequisites 4.2. Download 4.3. Unpacking 4.4. Environment variables 4.5. Running and testing your installation 4.6. JVM options 5. Troubleshooting 5.1. Working through problems 5.2. Getting help 6. Build Script Basics 6.1. Projects and tasks 6.2. Hello world 6.3. A shortcut task definition 6.4. Build scripts are code 6.5. Task dependencies 6.6. Dynamic tasks 6.7. Manipulating existing tasks 6.8. Shortcut notations 6.9. Extra task properties 6.10. Using Ant Tasks 6.11. Using methods 6.12. Default tasks 6.13. Configure by DAG 6.14. Where to next? 7. Java Quickstart 7.1. The Java plugin 7.2. A basic Java project 7.3. Multi-project Java build 7.4. Where to next? 8. Dependency Management Basics 8.1. What is dependency management? 8.2. Declaring your dependencies 8.3. Dependency configurations 8.4. External dependencies 8.5. Repositories 8.6. Publishing artifacts 8.7. Where to next? 9. Groovy Quickstart 9.1. A basic Groovy project 9.2.
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												  Mapreduce: Simplified Data Processing OnMapReduce: Simplified Data Processing on Large Clusters Jeffrey Dean and Sanjay Ghemawat [email protected], [email protected] Google, Inc. Abstract given day, etc. Most such computations are conceptu- ally straightforward. However, the input data is usually MapReduce is a programming model and an associ- large and the computations have to be distributed across ated implementation for processing and generating large hundreds or thousands of machines in order to finish in data sets. Users specify a map function that processes a a reasonable amount of time. The issues of how to par- key/value pair to generate a set of intermediate key/value allelize the computation, distribute the data, and handle pairs, and a reduce function that merges all intermediate failures conspire to obscure the original simple compu- values associated with the same intermediate key. Many tation with large amounts of complex code to deal with real world tasks are expressible in this model, as shown these issues. in the paper. As a reaction to this complexity, we designed a new Programs written in this functional style are automati- abstraction that allows us to express the simple computa- cally parallelized and executed on a large cluster of com- tions we were trying to perform but hides the messy de- modity machines. The run-time system takes care of the tails of parallelization, fault-tolerance, data distribution details of partitioning the input data, scheduling the pro- and load balancing in a library. Our abstraction is in- gram's execution across a set of machines, handling ma- spired by the map and reduce primitives present in Lisp chine failures, and managing the required inter-machine and many other functional languages.
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												  Performance and Architecture Optimization in an HTML5-Based Web GameLinköping University | Department of Computer science Master Thesis | Computer Science Spring term 2016 | LiTH-IDA/ERASMUS-A–16/001—SE Performance and architecture optimization in an HTML5-based web game Corentin Bras Tutor, Aseel Berglund Examinator, Henrik Eriksson Copyright The publishers will keep this document online on the Internet – or its possible replacement – for a period of 25 years starting from the date of publication barring exceptional circumstances. The online availability of the document implies permanent permission for anyone to read, to download, or to print out single copies for his/hers own use and to use it unchanged for non-commercial research and educational purpose. Subsequent transfers of copyright cannot revoke this permission. All other uses of the document are conditional upon the consent of the copyright owner. The publisher has taken technical and administrative measures to assure authenticity, security and accessibility. According to intellectual property law the author has the right to be mentioned when his/her work is accessed as described above and to be protected against infringement. For additional information about the Linköping University Electronic Press and its procedures for publication and for assurance of document integrity, please refer to its www home page: http://www.ep.liu.se/. © Corentin Bras Abstract Web applications are becoming more and more complex and bigger and bigger. In the case of a web game, it can be as big as a software. As well, as these applications are run indirectly through a web browser they need to be quite well optimized. For these reasons, performance and architecture are becoming a crucial point in web development.
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												  Google Earth Engine Sentinel-3 OLCI Level-1 Dataset Deviates from the Original Data: Causes and Consequencesremote sensing Technical Note Google Earth Engine Sentinel-3 OLCI Level-1 Dataset Deviates from the Original Data: Causes and Consequences Egor Prikaziuk * , Peiqi Yang and Christiaan van der Tol Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands; [email protected] (P.Y.); [email protected] (C.v.d.T.) * Correspondence: [email protected] or [email protected]; Tel.: +31-534-897-112 Abstract: In this study, we demonstrate that the Google Earth Engine (GEE) dataset of Sentinel-3 Ocean and Land Color Instrument (OLCI) level-1 deviates from the original Copernicus Open Access Data Hub Service (DHUS) data by 10–20 W m−2 sr−1 µm−1 per pixel per band. We compared GEE and DHUS single pixel time series for the period from April 2016 to September 2020 and identified two sources of this discrepancy: the ground pixel position and reprojection. The ground pixel position of OLCI product can be determined in two ways: from geo-coordinates (DHUS) or from tie-point coordinates (GEE). We recommend using geo-coordinates for pixel extraction from the original data. When the Sentinel Application Platform (SNAP) Pixel Extraction Tool is used, an additional distance check has to be conducted to exclude pixels that lay further than 212 m from the point of interest. Even geo-coordinates-based pixel extraction requires the homogeneity of the target area at a 700 m diameter (49 ha) footprint (double of the pixel resolution). The GEE OLCI dataset can be safely used if the homogeneity assumption holds at 2700 m diameter (9-by-9 OLCI pixels) or if the uncertainty in the radiance of 10% is not critical for the application.
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												  Apache Hadoop Goes Realtime at FacebookApache Hadoop Goes Realtime at Facebook Dhruba Borthakur Joydeep Sen Sarma Jonathan Gray Kannan Muthukkaruppan Nicolas Spiegelberg Hairong Kuang Karthik Ranganathan Dmytro Molkov Aravind Menon Samuel Rash Rodrigo Schmidt Amitanand Aiyer Facebook {dhruba,jssarma,jgray,kannan, nicolas,hairong,kranganathan,dms, aravind.menon,rash,rodrigo, amitanand.s}@fb.com ABSTRACT 1. INTRODUCTION Facebook recently deployed Facebook Messages, its first ever Apache Hadoop [1] is a top-level Apache project that includes user-facing application built on the Apache Hadoop platform. open source implementations of a distributed file system [2] and Apache HBase is a database-like layer built on Hadoop designed MapReduce that were inspired by Googles GFS [5] and to support billions of messages per day. This paper describes the MapReduce [6] projects. The Hadoop ecosystem also includes reasons why Facebook chose Hadoop and HBase over other projects like Apache HBase [4] which is inspired by Googles systems such as Apache Cassandra and Voldemort and discusses BigTable, Apache Hive [3], a data warehouse built on top of the applications requirements for consistency, availability, Hadoop, and Apache ZooKeeper [8], a coordination service for partition tolerance, data model and scalability. We explore the distributed systems. enhancements made to Hadoop to make it a more effective realtime system, the tradeoffs we made while configuring the At Facebook, Hadoop has traditionally been used in conjunction system, and how this solution has significant advantages over the with Hive for storage and analysis of large data sets. Most of this sharded MySQL database scheme used in other applications at analysis occurs in offline batch jobs and the emphasis has been on Facebook and many other web-scale companies.