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Ultra-Mobile Pcs Where Do They Fit In?
Ultra-Mobile PCs Where do they fit in? Eric White University of Wisconsin Survey Center International Field Directors and Technologies Conference May, 2009 University of Wisconsin Survey Center www.uwsc.wisc.edu Introduction • What are Ultra-Mobile PCs? • Technical specifications and capabilities • Usability for field data collection • Other uses • Future University of Wisconsin Survey Center What are we talking about? • Netbook? Subnotebook? UMPC? • 5 – 10 inch screen • Keyboard and touchpad • No CD/DVD drive • Lightweight (3 pounds or less) • $300 - $400 Lenovo s10 Asus eee pc Dell Inspiron Mini 9 University of Wisconsin Survey Center Tech Specs OS Windows XP (small Linux contingent) Processor Intel Atom, 1.6GHz Memory 1 – 2 GB SDRAM Hard Drive 16GB solid state or 160GB traditional Display 1024x600 Graphics Integrated Battery 6 cell Li-ion (5 hours) Networking 802.11b/g/n and ethernet Ports USB 2.0, VGA, audio jacks Camera 1.3M pixel Microphone Built-in University of Wisconsin Survey Center In the field? • Not in use • Interviewer concerns • UWSC concerns University of Wisconsin Survey Center Concerns • Interviewer Concerns • Laptop body is too small • Questioned laptop’s ruggedness • Slight concern over keyboard size • UWSC Concerns • Screen size and keyboard size might pose problems for respondents University of Wisconsin Survey Center Current UWSC Laptops in field • Lenovo X60 tablets • 12” screen, 4 lbs • Convertible to tablet • Lenovo R400 • 14” screen, 5 lbs. • Very rugged • Popular with interviewers • Full size keyboards • Much -
User Manual - S.USV Solutions Compatible with Raspberry Pi, up Board and Tinker Board Revision 2.2 | Date 07.06.2018
User Manual - S.USV solutions Compatible with Raspberry Pi, UP Board and Tinker Board Revision 2.2 | Date 07.06.2018 User Manual - S.USV solutions / Revision 2.0 Table of Contents 1 Functions .............................................................................................................................................. 3 2 Technical Specification ........................................................................................................................ 4 2.1 Overview ....................................................................................................................................... 5 2.2 Performance .................................................................................................................................. 6 2.3 Lighting Indicators ......................................................................................................................... 6 3 Installation Guide................................................................................................................................. 7 3.1 Hardware ...................................................................................................................................... 7 3.1.1 Commissioning S.USV ............................................................................................................ 7 3.1.2 Connecting the battery .......................................................................................................... 8 3.1.3 Connecting the external power supply ................................................................................. -
Building a Distribution: Openharmony and Openmandriva
Two different approaches to building a distribution: OpenHarmony and OpenMandriva Bernhard "bero" Rosenkränzer <[email protected]> FOSDEM 2021 -- February 6, 2021 1 MY CONTACT: [email protected], [email protected] Way more important than that, he also feeds LINKEDIN: dogs. https://www.linkedin.com/in/berolinux/ Bernhard "bero" Rosenkränzer I don't usually do "About Me", but since it may be relevant to the topic: Principal Technologist at Open Source Technology Center since November 2020 President of the OpenMandriva Association, Contributor since 2012 - also a contributor to Mandrake back in 1998/1999 2 What is OpenHarmony? ● More than an operating system: Can use multiple different kernels (Linux, Zephyr, ...) ● Key goal: autonomous, cooperative devices -- multiple devices form a distributed virtual bus and can share resources ● Initial target devices: Avenger 96 (32-bit ARMv7 Cortex-A7+-M4), Nitrogen 96 (Cortex-M4) ● Built with OpenEmbedded/Yocto - one command builds the entire OS ● Fully open, developed as an Open Source project instead of an inhouse product from the start. ● For more information, visit Stefan Schmidt's talk in the Embedded devroom, 17.30 and/or talk to us at the Huawei OSTC stand. 3 What is OpenMandriva? ● A more traditional Linux distribution - controlled by the community, continuing where Mandriva left off after the company behind it went out of business in 2012. Its roots go back to the first Mandrake Linux release in 1998. ● Originally targeting only x86 PCs - Support for additional architectures (aarch64, armv7hnl, RISC-V) added later ● Repositiories contain 17618 packages, built and updated individually, assembled into an installable product with omdv-build-iso or os-image-builder. -
A Low-Cost Deep Neural Network-Based Autonomous Car
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car Michael G. Bechtely, Elise McEllhineyy, Minje Kim?, Heechul Yuny y University of Kansas, USA. fmbechtel, elisemmc, [email protected] ? Indiana University, USA. [email protected] Abstract—We present DeepPicar, a low-cost deep neural net- task may be directly linked to the safety of the vehicle. This work based autonomous car platform. DeepPicar is a small scale requires a high computing capacity as well as the means to replication of a real self-driving car called DAVE-2 by NVIDIA. guaranteeing the timings. On the other hand, the computing DAVE-2 uses a deep convolutional neural network (CNN), which takes images from a front-facing camera as input and produces hardware platform must also satisfy cost, size, weight, and car steering angles as output. DeepPicar uses the same net- power constraints, which require a highly efficient computing work architecture—9 layers, 27 million connections and 250K platform. These two conflicting requirements complicate the parameters—and can drive itself in real-time using a web camera platform selection process as observed in [25]. and a Raspberry Pi 3 quad-core platform. Using DeepPicar, we To understand what kind of computing hardware is needed analyze the Pi 3’s computing capabilities to support end-to-end deep learning based real-time control of autonomous vehicles. for AI workloads, we need a testbed and realistic workloads. We also systematically compare other contemporary embedded While using a real car-based testbed would be most ideal, it computing platforms using the DeepPicar’s CNN-based real-time is not only highly expensive, but also poses serious safety control workload. -
Openbricks Embedded Linux Framework - User Manual I
OpenBricks Embedded Linux Framework - User Manual i OpenBricks Embedded Linux Framework - User Manual OpenBricks Embedded Linux Framework - User Manual ii Contents 1 OpenBricks Introduction 1 1.1 What is it ?......................................................1 1.2 Who is it for ?.....................................................1 1.3 Which hardware is supported ?............................................1 1.4 What does the software offer ?............................................1 1.5 Who’s using it ?....................................................1 2 List of supported features 2 2.1 Key Features.....................................................2 2.2 Applicative Toolkits..................................................2 2.3 Graphic Extensions..................................................2 2.4 Video Extensions...................................................3 2.5 Audio Extensions...................................................3 2.6 Media Players.....................................................3 2.7 Key Audio/Video Profiles...............................................3 2.8 Networking Features.................................................3 2.9 Supported Filesystems................................................4 2.10 Toolchain Features..................................................4 3 OpenBricks Supported Platforms 5 3.1 Supported Hardware Architectures..........................................5 3.2 Available Platforms..................................................5 3.3 Certified Platforms..................................................7 -
D I E B Ü C H S E D E R P a N D O R a Seite 1
D i e B ü c h s e d e r P a n d o r a Infos zur griechischen Mythologie siehe: http://de.wikipedia.org/wiki/B%C3%BCchse_der_Pandora ______________________________________________________________________________________________________________________________________________________ „Das Öffnen der Büchse ist absolute Pflicht, um die Hoffnung in die Welt zu lassen!“ Nachdruck und/oder Vervielfältigungen, dieser Dokumentation ist ausdrücklich gestattet. Quellenangabe: Der Tux mit dem Notebook stammt von der Webseite: http://www.openclipart.org/detail/60343 1. Auflage , © 9-2012 by Dieter Broichhagen | Humboldtstraße 106 | 51145 Köln. e-Mail: [email protected] | Web: http://www.broichhagen.de | http://www.illugen-collasionen.com Satz, Layout, Abbildungen (wenn nichts anderes angegeben ist): Dieter Broichhagen Alle Rechte dieser Beschreibung liegen beim Autor Gesamtherstellung: Dieter Broichhagen Irrtum und Änderungen vorbehalten! Seite 1 - 12 D i e B ü c h s e d e r P a n d o r a Infos zur griechischen Mythologie siehe: http://de.wikipedia.org/wiki/B%C3%BCchse_der_Pandora ______________________________________________________________________________________________________________________________________________________ Hinweis: Weitere Abbildungen von meiner „Büchse der Pandora“ finden Sie unter http://broichhagen.bplaced.net/ilco3/images/Pandora-X1.pdf Bezeichnungen • SheevaPlug ist kein Katzenfutter und kein Ausschlag • DreamPlug ist kein Auslöser für Alpträume • Raspberry Pi ist kein Himbeer-Kuchen • Pandaboard ist kein Servbrett für Pandabären • Die „Büchse der Pandora“ ist keine Legende Was haben SheevaPlug, DreamPlug, Raspberry Pi und Pandaboard gemeinsam? Sie haben einen ARM und sind allesamt Minicomputer. Wer einen ARM hat, ist nicht arm dran. Spaß bei Seite oder vielmehr, jetzt geht der Spaß erst richtig los. Am Anfang war der ... SheevaPlug Das Interesse wurde durch Matthias Fröhlich geweckt, der einen SheevaPlug- Minicomputer vor 2 Jahren im Linux- Workshop vorstellte. -
End-To-End Learning for Autonomous Driving Robots
End-to-End Learning for Autonomous Driving Robots Anthony Ryan 21713293 Supervisor: Professor Thomas Bräunl GENG5511/GENG5512 Engineering Research Project Submitted: 25th May 2020 Word Count: 8078 Faculty of Engineering and Mathematical Sciences School of Electrical, Electronic and Computer Engineering 1 Abstract This thesis presents the development of a high-speed, low cost, end-to-end deep learning based autonomous robot driving system called ModelCar-2. This project builds on a previous project undertaken at the University of Western Australia called ModelCar, where a robotics driving system was first developed with a single LIDAR scanner as its only sensory input as a baseline for future research into autonomous vehicle capabilities with lower cost sensors. ModelCar-2 is comprised of a Traxxas Stampede RC Car, Wide-Angle Camera, Raspberry Pi 4 running UWA’s RoBIOS software and a Hokuyo URG-04LX LIDAR Scanner. ModelCar-2 aims to demonstrate how the cost of producing autonomous driving robots can be reduced by replacing expensive sensors such as LIDAR with digital cameras and combining them with end-to-end deep learning methods and Convolutional Neural Networks to achieve the same level of autonomy and performance. ModelCar-2 is a small-scale application of PilotNet, developed by NVIDIA and used in the DAVE-2 system. ModelCar-2 uses TensorFlow and Keras to recreate the same neural network architecture as PilotNet which features 9 layers, 27,000,000 connections and 252,230 parameters. The Convolutional Neural Network was trained to map the raw pixels from images taken with a single inexpensive front-facing camera to predict the speed and steering angle commands to control the servo and drive the robot. -
Raspberry Pi Market Research
Raspberry Pi Market Research Contents MARKET ................................................................................................................................................... 3 CONSUMERS ............................................................................................................................................ 8 COMPETITORS ....................................................................................................................................... 12 Element14 ......................................................................................................................................... 12 Gumstix- Geppetto Design ............................................................................................................... 14 Display Module .................................................................................................................................. 17 CoMo Booster For Raspberry Pi Compute Module (Geekroo Technologies ) ................................... 18 2 MARKET When the first Raspberry PI (Pi) was released in February 2012 it made a big impact that extended well beyond the education world for which it was touted. The Pi became a staple amongst the hobbyist and professional maker communities and was used for building everything from media centers, home automation systems, remote sensing devices and forming the brains of home made robots. It has recently been announced that over 5m Raspberry Pi’s have been sold since its inception, making it the best selling -
Computer Architectures an Overview
Computer Architectures An Overview PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Sat, 25 Feb 2012 22:35:32 UTC Contents Articles Microarchitecture 1 x86 7 PowerPC 23 IBM POWER 33 MIPS architecture 39 SPARC 57 ARM architecture 65 DEC Alpha 80 AlphaStation 92 AlphaServer 95 Very long instruction word 103 Instruction-level parallelism 107 Explicitly parallel instruction computing 108 References Article Sources and Contributors 111 Image Sources, Licenses and Contributors 113 Article Licenses License 114 Microarchitecture 1 Microarchitecture In computer engineering, microarchitecture (sometimes abbreviated to µarch or uarch), also called computer organization, is the way a given instruction set architecture (ISA) is implemented on a processor. A given ISA may be implemented with different microarchitectures.[1] Implementations might vary due to different goals of a given design or due to shifts in technology.[2] Computer architecture is the combination of microarchitecture and instruction set design. Relation to instruction set architecture The ISA is roughly the same as the programming model of a processor as seen by an assembly language programmer or compiler writer. The ISA includes the execution model, processor registers, address and data formats among other things. The Intel Core microarchitecture microarchitecture includes the constituent parts of the processor and how these interconnect and interoperate to implement the ISA. The microarchitecture of a machine is usually represented as (more or less detailed) diagrams that describe the interconnections of the various microarchitectural elements of the machine, which may be everything from single gates and registers, to complete arithmetic logic units (ALU)s and even larger elements. -
Raspberry Pi Computer Vision Programming – Second Edition Programming – Second Edition
Raspberry Pi Computer Vision Pajankar Ashwin Edition Second – Programming Vision Computer Pi Raspberry Programming – Second Edition Raspberry Pi is one of the popular on Raspberry Pi, before covering major Raspberry Pi single-board computers of our generation. techniques and algorithms in image All the major image processing and computer processing, manipulation, and computer vision algorithms and operations can be vision. By sequentially working through the implemented easily with OpenCV on steps in each chapter, you'll understand Computer Vision Raspberry Pi. This updated second edition is essential OpenCV features. Later sections packed with cutting-edge examples and new will take you through creating graphical user topics, and covers the latest versions of key interface (GUI) apps with GPIO and OpenCV. technologies such as Python 3, Raspberry Pi, You'll also learn how to use the new computer Programming and OpenCV. This book will equip you with vision library, Mahotas, to perform various the skills required to successfully design and image processing operations. Finally, you'll implement your own OpenCV, Raspberry Pi, explore the Jupyter notebook and how to and Python-based computer vision projects. set up a Windows computer and Ubuntu for computer vision. Second Edition At the start, you'll learn the basics of Python 3, and the fundamentals of single-board By the end of this book, you'll be able to computers and NumPy. Next, you'll discover confi dently build and deploy computer how to install OpenCV 4 for Python 3 vision apps. Design -
Gumstix Edge AI Series for NVIDIA Jetson Nano
Gumstix Edge AI Series for NVIDIA Jetson Nano TensorFlow pre-integration for machine learning and neural networking development. ® Fremont, CA. March 31, 2020— Gumstix , Inc., a leader in computing hardware for intelligent embedded applications, announced the release of four Edge AI devices designed to meet the demands of machine-learning applications moving massive data from the networks edge. Powered by the NVIDIA Jetson Nano running a Quad-core ARM A57, the Gumstix AI development boards feature built in TensorFlow support to make edge AI prototyping more accessible for software engineers and provide a rapid turnkey solution for deployment. Gumstix AI devices streamline the software-hardware integration and provide users the following benefits: ● Easy to customize modular designs available in the Geppetto app. ● GPU enabled TensorFlow support. ● Customizable OS (Yocto) for rapid and simple deployment. “Ever since launching our first products in 2003- running a full Linux implementation in the size of a stick of gum - we have sought to make the world of tiny devices more and more powerful.” says W.Gordon Kruberg, M.D., Head of Modular Hardware, Altium, Inc., “This new AI series of expansion boards, featuring the SnapShot, and our support of the NVIDIA Nano, grows from our belief in the power and primacy of neural-network algorithms.” The Gumstix Snapshot with up to 16 video streams along with the 3 other new boards, are now available for purchase at www.gumstix.com. In addition, users are able to also easily customize the form, fit and function of these modular designs online and receive a customized board in 15 days. -
Spjaldtölvur Í Norðlingaskóla Smáforrit Í Nóvember 2012 – Upplýsingar Um Forritin Skúlína Hlíf Kjartansdóttir – 31.8.2014
Spjaldtölvur í Norðlingaskóla Smáforrit í nóvember 2012 – upplýsingar um forritin Skúlína Hlíf Kjartansdóttir – 31.8.2014 Lýsingar eru úr iTunes Preview eða af vefsíðum fyrirtækja framleiðnda forritanna. ! Not found on itunes http://ruckygames.com/ 30/30 – Productivity By Binary Hammer https://itunes.apple.com/is/app/30-30/id505863977?mt=8 You have never experienced a task manager like this! Simple. Attractive. Useful. 30/30 helps you get stuff done! 3D Brain – Education / 1 Cold Spring Harbor Lab http://www.g2conline.org/ https://itunes.apple.com/is/app/3d-brain/id331399332?mt=8 Use your touch screen to rotate and zoom around 29 interactive structures. Discover how each brain region functions, what happens when it is injured, and how it is involved in mental illness. Each detailed structure comes with information on functions, disorders, brain damage, case studies, and links to modern research. 3DGlobe2X – Education By Sreeprakash Neelakantan http://schogini.com/ View More by This Developer https://itunes.apple.com/us/app/3d-globe-2x/id430309485?mt=8 2 An amazing way to twirl the world! This 3D globe can be rotated with a swipe of your finger. Spin it to the right or left, and if you want it closer zoom in, or else zoom out. Watch the world revolve at your fingertips! An interesting feature of this 3D globe is that you can type in the name of a place in the given space and it is shown on the 3D globe by affixing a flag to show you the exact location. Also, when you click on the flag, you will get the details about the place on your screen.