Suchergebnisse für "seminar OR embedded OR linux"

Linux auf dem Desktop – das ist heute leicht und einfach möglich. Embedded Linux ebenso, auch wenn es kompliziert erscheint. Das vorliegende Buch gibt allen Interessierten Hilfestellung, die Linux auf einer Embedded-Plattform installieren und nutzen möchten. Das im Buch vorgestellte System arbeitet mit der Toshiba-ARM9-Familie. Grundlegende Linux-Kenntnisse auf dem PC werden Schritt für Schritt in Richtung Embedded Linux erweitert. Das Buch beantwortet die Fragen, welche Komponenten hierzu erforderlich sind und wie sich diese erstellen lassen. Nach der Vorstellung der verwendeten Hardware beginnt dies bei der Toolchain und setzt sich über JTAG-Debugger, Bootloader und Kernel bis zur Applikation fort. Rezension: c't 25/2010"... Ein Buch aus der Praxis für die Praxis – besser geht es kaum."

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This book is all about building your own DIY home control system. It presents two innovative ways to assemble such a system: By recycling old PC hardware – possibly extending the life of an old PC, or by using Raspberry Pi. In both cases, the main system outlined in this book will consist of a computer platform, a wireless mains outlet, a controller and a USB webcam – All linked together by Linux. By using the Raspberry Pi in conjunction with Arduino (used as an advanced I/O system board), it is possible to construct a small, compact, embedded control system offering enhanced capacity for USB integration, webcams, thermal monitoring and communication with the outside world. The experience required to undertake the projects within this book are minimal exposure to PC hardware and software, the ability to surf the internet, burn a CD-ROM and assemble a small PCB.

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ARM Cortex-M Embedded Design from 0 to 1 Hobbyists can mash together amazing functional systems using platforms like Arduino or Raspberry Pi, but it is imperative that engineers and product designers understand the foundational knowledge of embedded design. There are very few resources available that describe the thinking, strategies, and processes to take an idea through hardware design and low-level driver development, and successfully build a complete embedded system. Many engineers end up learning the hard way, or never really learn at all. ARM processors are essentially ubiquitous in embedded systems. Design engineers building novel devices must understand the fundamentals of these systems and be able to break down large, complicated ideas into manageable pieces. Successful product development means traversing a huge amount of documentation to understand how to accomplish what you need, then put everything together to create a robust system that will reliably operate and be maintainable for years to come. This book is a case study in embedded design including discussion of the hardware, processor initialization, low‑level driver development, and application interface design for a product. Though we describe this through a specific application of a Cortex-M3 development board, our mission is to help the reader build foundational skills critical to being an excellent product developer. The completed development board is available to maximize the impact of this book, and the working platform that you create can then be used as a base for further development and learning. The Embedded in Embedded program is about teaching fundamental skill sets to help engineers build a solid foundation of knowledge that can be applied in any design environment. With nearly 20 years of experience in the industry, the author communicates the critical skill development that is demanded by companies and essential to successful design. This book is as much about building a great design process, critical thinking, and even social considerations important to developers as it is about technical hardware and firmware design. Downloads EiE Software Archive (200 MB) IAR ARM 8.10.1 (Recommended IDE version to use) (1.2 GB) IAR ARM 7.20.1 (Optional IDE version to use) (600 MB)

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This collection features the best of Elektor Magazine's articles on embedded systems and artificial intelligence. From hands-on programming guides to innovative AI experiments, these pieces offer valuable insights and practical knowledge for engineers, developers, and enthusiasts exploring the evolving intersection of hardware design, software innovation, and intelligent technology. Contents Programming PICs from the Ground UpAssembler routine to output a sine wave Object-Oriented ProgrammingA Short Primer Using C++ Programming an FPGA Tracking Down Microcontroller Buffer Overflows with 0xDEADBEEF Too Quick to Code and Too Slow to Test? Understanding the Neurons in Neural NetworksEmbedded Neurons MAUI Programming for PC, Tablet, and SmartphoneThe New Framework in Theory and Practice USB Killer DetectorBetter Safe Than Sorry Understanding the Neurons in Neural NetworksArtificial Neurons A Bare-Metal Programming Guide Part 1: For STM32 and Other Controllers Part 2: Accurate Timing, the UART, and Debugging Part 3: CMSIS Headers, Automatic Testing, and a Web Server Introduction to TinyMLBig Is Not Always Better Microprocessors for Embedded SystemsPeculiar Parts, the Series FPGAs for BeginnersThe Path From MCU to FPGA Programming AI in Electronics DevelopmentAn Update After Only One Year AI in the Electronics LabGoogle Bard and Flux Copilot Put to the Test ESP32 and ChatGPTOn the Way to a Self-Programming System… Audio DSP FX Processor Board Part 1: Features and Design Part 2: Creating Applications Rust + EmbeddedA Development Power Duo A Smart Object CounterImage Recognition Made Easy with Edge Impulse Universal Garden LoggerA Step Towards AI Gardening A VHDL ClockMade with ChatGPT TensorFlow Lite on Small MicrocontrollersA (Very) Beginner’s Point of View Mosquito DetectionUsing Open Datasets and Arduino Nicla Vision Artificial Intelligence Timeline Intro to AI AlgorithmsPrompt: Which Algorithms Implement Each AI Tool? Bringing AI to the Edgewith ESP32-P4 The Growing Role of Edge AIA Trend Shaping the Future

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History and Future in the Internet of Things This book thoroughly reviews the history of the development of embedded Operating Systems, covers the technical characteristics, historic facts, as well as background business stories of mainstream embedded Operating Systems, and analyzes the technical evolution, market development, and new opportunities of embedded Operating Systems in the age of the Internet of Things. From the perspective of time, the book examines the evolution of critical technical aspects, including real-time and Power Management of embedded Operating Systems and Linux, Internet of Things security, communication, and cloud computing. The book looks into applications of embedded Operating Systems with important markets of mobile phones, communication equipment, automobile, and wearable devices, and also discusses business model and the issue of intellectual property of embedded Operating Systems. In addition, the book walks through the status quo, technical features, product evaluation and background of the Internet of Things Operating Systems in the second half of the book.

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This book is intended as a highly-practical guide for Hobbyists, Engineers and Scientists wishing to build measurement and control systems to be controlled by a local or remote Personal Computer running the Linux operating system. Both hardware and software aspects of designing typical embedded systems are covered in detail with schematics, code listings and full descriptions. Numerous examples have been designed to show clearly how straightforward it can be to create the interfaces between digital and analog electronics, with programming techniques for creating control software for both local and remote systems. Hardware developers will appreciate the variety of circuits, including a novel, low cost modulated wireless link and will discover how using Matlab® overcomes the need for specialist programming skills. Software developers will appreciate how a better understanding of circuits plus the freedom offered by Linux to directly control at the register level enables them to optimize related programs. There is no need to buy special equipment or expensive software tools in order to create embedded projects covered in this book. You can build such quality systems quickly using popular low-cost electronic components and free distributed or low-cost software tools. Some knowledge of basic electronics plus the very basics of C programming only is required. Many projects in this book are developed using Matlab® being a very popular worldwide computational tool for research in engineering and science. The book provides a detailed description of how to combine the power of Matlab® with practical electronics. With an emphasis on learning by doing, readers are encouraged by examples to program with ease; the book provides clear guidelines as to the appropriate programming techniques “on the fly”. Complete and well-documented source code is provided for all projects. If you want to learn how to quickly build Linux-based applications able to collect, process and display data on a PC from various analog and digital sensors, how to control circuitry attached to a computer, then even how to pass data via a network or control your embedded system wirelessly and more – then this is the book for you! Features of this Book Use the power, flexibility and control offered only by a Linux operating system on a PC. Use a free, distributed downloadable GNU C compiler Use (optional) a low-cost Student Version of Matlab®. Use low-cost electronic sub-assemblies for projects. Improve your skills in electronics, programming, networking and wireless design. A full chapter is dedicated to controlling your sound card for audio input and output purposes. Program sound using OSS and ALSA. Learn how to combine electronic circuits, software, networks and wireless technologies in the complete embedded system.

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Technology is constantly changing. New microcontrollers become available every year and old ones become redundant. The one thing that has stayed the same is the C programming language used to program these microcontrollers. If you would like to learn this standard language to program microcontrollers, then this book is for you! ARM microcontrollers are available from a large number of manufacturers. They are 32-bit microcontrollers and usually contain a decent amount of memory and a large number of on-chip peripherals. Although this book concentrates on ARM microcontrollers from Atmel, the C programming language applies equally to other manufacturer’s ARMs as well as other microcontrollers. Features of this book Use only free or open source software. Learn how to download, set up and use free C programming tools. Start learning the C language to write simple PC programs before tackling embedded programming - no need to buy an embedded system right away! Start learning to program from the very first chapter with simple programs and slowly build from there. No programming experience is necessary! Learn by doing - type and run the example programs and exercises. Sample programs and exercises can be downloaded from the Internet. A fun way to learn the C programming language. Ideal for electronic hobbyists, students and engineers wanting to learn the C programming language in an embedded environment on ARM microcontrollers.

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Dieses Bundle enthält das Arduino UNO Q (2 GB) und das neue Buch "Arduino UNO Q and AI". The Arduino UNO Q is the first UNO board with a hybrid dual-brain architecture, combining a powerful Linux processor with a real-time microcontroller – bringing advanced computing and precise control together on one board. Powered by a Qualcomm Dragonwing QRB2210 MPU running Debian Linux and a STM32U585 MCU for real-time tasks, the UNO Q is built for next-generation applications. From Edge Computing and AI to robotics and automation, it delivers high performance without sacrificing ease of use. Simply connect your peripherals and get started – no extra hardware required. Features Dual-core architecture: Linux MPU + real-time MCU Qualcomm Dragonwing QRB2210 with Debian Linux support STM32U585 microcontroller for deterministic control Runs Arduino sketches via Zephyr OS Ideal for AI, IoT, robotics, and industrial projects Technische Daten Microprocessor (MPU) Qualcomm Dragonwing QRB2210:Quad-core Arm Cortex-A53 @ 2.0 GHzAdreno GPU 3D graphics accelerator2× ISP (13 MP + 13 MP or 25 MP) @ 30 fps Microcontroller (MCU) STM32U585Arm Cortex-M33 up to 160 MHz2 MB flash memory786 KB SRAM RAM 2 GB LPDDR4 Power Supply From USB-C connector 5 V max at 3 AInput Voltage (VIN): 7-24 V Storage 16 GB eMMC USB 1× USB-C port with host/device role switching, power role switch and video output Connectivity Wi-Fi 5 2.4/5 GHz with onboard antennaBluetooth 5.1 with onboard antenna Interfaces I²C/I³CSPIPWMCANUARTPSSIGPIOJTAGADC Video Video output support via USB-CMIPI DSI pins on JMEDIA header Extra 4× RGB user-controllable LEDs8×13 Blue LED Matrix1× Qwiic connector voltage 3V3, I²C1× User push-buttonJCTL: MPU Remote Debug connector Audio Microphone IN / Headphone OUT / Line OUT on JMISC MPU Operating System Linux Debian OS with upstream support Real-time Operating System Arduino Core on Zephyr OS Containerization Docker and Docker Compose support Support Operating Systems for Arduino App Lab Windows: Windows 10 or later (64-bit)macOS: macOS 11 or later (64-bit)Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit) Dimensions 68,85 × 53,34 mm (UNO form factor) Downloads Datasheet User Manual Pinout Schematics Buch: Arduino UNO Q and AI – Learn to Build Intelligent Embedded Systems Build smarter embedded systems with Arduino UNO Q. This book gives you the tools, knowledge, and confidence to turn ideas into intelligent, working solutions using the Arduino UNO Q platform. Discover how to build intelligent embedded systems with the Arduino UNO Q and AI. Unlock the full potential of the Arduino UNO Q, a next-generation platform that combines the real-time power of the STM32U585 microcontroller with the flexibility of a Qualcomm Dragonwing QRB2210 microprocessor. Learn how to rapidly prototype real-world applications using the Arduino IDE for low-level embedded control and Python in Arduino App Lab for high-level development. Build confidence through hands-on projects that guide you step by step from basic board features to complete working systems. Explore ready-to-use, AI based Arduino App Lab examples and see how they can jump-start your development and reduce time to deployment. Step into the world of Edge AI with a clear, practical introduction to Edge Impulse Studio—no prior AI experience required. Follow a complete, real-world workflow to create a Keyword Spotting AI application, covering data collection, model training, optimization, and on-device inference using the Edge Impulse Studio. Bridge the gap between embedded systems and machine learning and learn how to bring intelligence directly onto your hardware. Perfect for embedded engineers, educators, students, and makers looking to stay ahead in AI-enabled product development. Dieses Bundle enthält: Arduino UNO Q (2 GB) (Einzelpreis: 50 €) Buch: Arduino UNO Q and AI (Einzelpreis: 35 €)

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Programming the Finite State Machine with 8-Bit PICs in Assembly and C Andrew Pratt provides a detailed introduction to programming PIC microcontrollers, as well as a thorough overview of the Finite State Machine (FSM) approach to programming. Most of the book uses assembly programming, but do not be deterred. The FSM gives a structure to a program, making it easy to plan, write, and modify. The last two chapters introduce programming in C, so you can make a direct comparison between the two techniques. The book references the relevant parts of the Microchip datasheet as familiarity with it is the best way to discover detailed information. This book is aimed at Microsoft Windows and Linux users. To keep your costs to a minimum and to simplify the toolchain, specific applications are provided as a free download to enable you to use an FTDI serial lead as the programmer. The assembler used is the open-source "gpasm". All programming can be done in a text editor. There are detailed instructions on how to perform the necessary installations on Windows, Linux Debian, and derivatives such as Ubuntu and Fedora. For programming in C, Microchip's XC8 compiler is used from the command line. In addition to the programming applications, two serial read and serial write applications can be used for communicating with the PICs from a computer. A voltmeter project including practical instructions on building a circuit board from scratch is included. All theory is covered beforehand, including how to do integer arithmetic in assembly. Two PICs are covered: the PIC12F1822 and the PIC16F1823. Both can run at 32 MHz with an internal oscillator. You do not need to buy a factory-made development board and programmer. With relatively inexpensive parts including a serial lead, microcontroller, a few resistors, and LEDs, you can get started exploring embedded programming. Links Updated Programmer

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Learn to Build Intelligent Embedded Systems Build smarter embedded systems with Arduino UNO Q. This book gives you the tools, knowledge, and confidence to turn ideas into intelligent, working solutions using the Arduino UNO Q platform. Discover how to build intelligent embedded systems with the Arduino UNO Q and AI. Unlock the full potential of the Arduino UNO Q, a next-generation platform that combines the real-time power of the STM32U585 microcontroller with the flexibility of a Qualcomm Dragonwing QRB2210 microprocessor. Learn how to rapidly prototype real-world applications using the Arduino IDE for low-level embedded control and Python in Arduino App Lab for high-level development. Build confidence through hands-on projects that guide you step by step from basic board features to complete working systems. Explore ready-to-use, AI based Arduino App Lab examples and see how they can jump-start your development and reduce time to deployment. Step into the world of Edge AI with a clear, practical introduction to Edge Impulse Studio—no prior AI experience required. Follow a complete, real-world workflow to create a Keyword Spotting AI application, covering data collection, model training, optimization, and on-device inference using the Edge Impulse Studio. Bridge the gap between embedded systems and machine learning and learn how to bring intelligence directly onto your hardware. Perfect for embedded engineers, educators, students, and makers looking to stay ahead in AI-enabled product development.

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