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Congratulations on purchasing the ODROID-XU4! It is one of the most powerful low-cost Single Board computers available, as well as being an extremely versatile device. Featuring an octa-core Exynos 5422 big.LITTLE processor, advanced Mali GPU, and Gigabit ethernet, it can function as a home theater set-top box, a general purpose computer for web browsing, gaming and socializing, a compact tool for college or office work, a prototyping device for hardware tinkering, a controller for home automation, a workstation for software development, and much more. Some of the modern operating systems that run on the ODROID-XU4 are Ubuntu, Android, Fedora, ARCHLinux, Debian, and OpenELEC, with thousands of free open-source software packages available. The ODROID-XU4 is an ARM device, which is the most widely used architecture for mobile devices and embedded 32-bit computing.
Table of Contents 6 Internet Small Computer System Interface: iSCSI Made Simple 8 A Look at Cyanogenmod: Getting Started with a Clean, Lightweight Flavor of Android 9 Overscan Fix in Ubuntu for ODROID-C1/C1+: Synchronize Your ODROID With Your Monitor 10 Fire Detection for Surveillance Cameras: Taming Fire With a Webcam and an ODROID 13 Linux Gaming: Running Windows 2000 Games on an ODROID 18 ODROID-C0: A Compact Board for Portable and Lightweight Applications 20 ODROID-XU4 User Manual: A Guide For All Expertise Levels 21 OS Spotlight: Odrobian Retrogaming Arcade (ORGA) For ODROID-C1/C1+ 24 Munin: An Open Source Performance Analyzer 28 The OWEN Robot Kit: A Sample Project For the New ODROID-C0 31 Android Development: Accessing the Bluetooth Stack 33 Meet an ODROIDian: David Lima, Quintessential Enterprise Storage Expert and System Administrator
Table of Contents 6 IoT Doorbell: Get An Email Alert Of The Person At Your Door 11 LineageOS 14.1 For ODROID-XU3/XU4: Forget Cyanogen, The Future Is Here 12 Linux Gaming: Open Fodder 14 Causality: A Time Travel Paradox Puzzle Game For Your Discretion 15 RemotePi Board For the ODROID-C2 18 HiFi Shield 2: The Best Audio You Can Achieve On An ODROID 19 Updated XU4 Manual: Revised For Ubuntu and Newer Peripherals 20 Home Data Center: Code Deployment With ArchLinux 23 The ODROID Arcade Box: Have The Perfect Experience With Your Favorite Arcade Games 28 Android Development: Analyzing Application Network Usage 30 Sensing The Presence: Chronicles Of A Mad Scientist 32 Meet an ODROIDian: Viacheslav Alekseev
This book constitutes the refereed proceedings on the 23rd Nordic Conference on Secure IT Systems, NordSec 2018, held in Oslo, Norway, in November 2018. The 29 full papers presented in this volume were carefully reviewed and selected from 81 submissions. They are organized in topical sections named: privacy; cryptography; network and cloud security; cyber security and malware; and security for software and software development.
This book includes the post-conference proceedings of the 21st RoboCup International Symposium, held in Nagoya, Japan, in September 2017. The 33 full revised papers and 9 papers from the winning teams presented were carefully reviewed and selected from 58 submissions. The papers are orginazed on topical sections on Robotics, Artificial intelligence, Environment perception, State estimation and much more.
Discover best practices and troubleshooting solutions when working on ROS Key Features Develop complex robotic applications using ROS to interface robot manipulators and mobile robots Gain insight into autonomous navigation in mobile robots and motion planning in robot manipulators Discover best practices and troubleshooting solutions Book Description In this day and age, robotics has been gaining a lot of traction in various industries where consistency and perfection matter. Automation is achieved via robotic applications and various platforms that support robotics. The Robot Operating System (ROS) is a modular software platform to develop generic robotic applications. This book focuses on the most stable release of ROS (Kinetic Kame), discusses advanced concepts, and effectively teaches you programming using ROS. We begin with aninformative overview of the ROS framework, which will give you a clear idea of how ROS works. During the course of this book, you’ll learn to build models of complex robots, and simulate and interface the robot using the ROS MoveIt! motion planning library and ROS navigation stacks. Learn to leverage several ROS packages to embrace your robot models. After covering robot manipulation and navigation, you’ll get to grips with the interfacing I/O boards, sensors, and actuators of ROS. Vision sensors are a key component of robots, and an entire chapter is dedicated to the vision sensor and image elaboration, its interface in ROS and programming. You’ll also understand the hardware interface and simulation of complex robots to ROS and ROS Industrial. At the end of this book, you’ll discover the best practices to follow when programming using ROS. What you will learn Create a robot model with a seven-DOF robotic arm and a differential wheeled mobile robot Work with Gazebo and V-REP robotic simulator Implement autonomous navigation in differential drive robots using SLAM and AMCL packages Explore the ROS Pluginlib, ROS nodelets, and Gazebo plugins Interface I/O boards such as Arduino, robot sensors, and high-end actuators Simulate and motion plan an ABB and universal arm using ROS Industrial Explore the latest version of the ROS framework Work with the motion planning of a seven-DOF arm using MoveIt! Who this book is for If you are a robotics enthusiast or researcher who want to learn more about building robot applications using ROS, this book is for you. In order to learn from this book, you should have a basic knowledge of ROS, GNU/Linux, and C++ programming concepts. The book is also excellent for programmers who want to explore the advanced features of ROS.
Turn futuristic ideas about computer vision and machine learning into demonstrations that are both functional and entertaining Key FeaturesBuild OpenCV 4 apps with Python 2 and 3 on desktops and Raspberry Pi, Java on Android, and C# in UnityDetect, classify, recognize, and measure real-world objects in real-timeWork with images from diverse sources, including the web, research datasets, and various camerasBook Description OpenCV 4 is a collection of image processing functions and computer vision algorithms. It is open source, supports many programming languages and platforms, and is fast enough for many real-time applications. With this handy library, you’ll be able to build a variety of impressive gadgets. OpenCV 4 for Secret Agents features a broad selection of projects based on computer vision, machine learning, and several application frameworks. To enable you to build apps for diverse desktop systems and Raspberry Pi, the book supports multiple Python versions, from 2.7 to 3.7. For Android app development, the book also supports Java in Android Studio, and C# in the Unity game engine. Taking inspiration from the world of James Bond, this book will add a touch of adventure and computer vision to your daily routine. You’ll be able to protect your home and car with intelligent camera systems that analyze obstacles, people, and even cats. In addition to this, you’ll also learn how to train a search engine to praise or criticize the images that it finds, and build a mobile app that speaks to you and responds to your body language. By the end of this book, you will be equipped with the knowledge you need to advance your skills as an app developer and a computer vision specialist. What you will learnDetect motion and recognize gestures to control a smartphone gameDetect car headlights and estimate their distanceDetect and recognize human and cat faces to trigger an alarmAmplify motion in a real-time video to show heartbeats and breathsMake a physics simulation that detects shapes in a real-world drawingBuild OpenCV 4 projects in Python 3 for desktops and Raspberry PiDevelop OpenCV 4 Android applications in Android Studio and UnityWho this book is for If you are an experienced software developer who is new to computer vision or machine learning, and wants to study these topics through creative projects, then this book is for you. The book will also help existing OpenCV users who want upgrade their projects to OpenCV 4 and new versions of other libraries, languages, tools, and operating systems. General familiarity with object-oriented programming, application development, and usage of operating systems (OS), developer tools, and the command line is required.
​This three-volume set, LNAI 11670, LNAI 11671, and LNAI 11672 constitutes the thoroughly refereed proceedings of the 16th Pacific Rim Conference on Artificial Intelligence, PRICAI 2019, held in Cuvu, Yanuca Island, Fiji, in August 2019. The 111 full papers and 13 short papers presented in these volumes were carefully reviewed and selected from 265 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.
This is the fourth volume of the successful series Robot Operating Systems: The Complete Reference, providing a comprehensive overview of robot operating systems (ROS), which is currently the main development framework for robotics applications, as well as the latest trends and contributed systems. The book is divided into four parts: Part 1 features two papers on navigation, discussing SLAM and path planning. Part 2 focuses on the integration of ROS into quadcopters and their control. Part 3 then discusses two emerging applications for robotics: cloud robotics, and video stabilization. Part 4 presents tools developed for ROS; the first is a practical alternative to the roslaunch system, and the second is related to penetration testing. This book is a valuable resource for ROS users and wanting to learn more about ROS capabilities and features.
The two-volume set LNAI 10841 and LNAI 10842 constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018, held in Zakopane, Poland in June 2018. The 140 revised full papers presented were carefully reviewed and selected from 242 submissions. The papers included in the first volume are organized in the following three parts: neural networks and their applications; evolutionary algorithms and their applications; and pattern classification.