Résultats de la recherche pour "all or new or pro or tech or toolkit"

CAN et EOBD dans la technologie automobile (E-book)

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This book details the use of the Arduino Uno and the Raspberry Pi 4 in practical CAN bus based projects. Using either the Arduino Uno or the Raspberry Pi with off-the-shelf CAN bus interface modules considerably ease developing, debugging, and testing CAN bus based projects. This book is written for students, practicing engineers, enthusiasts, and for everyone else wanting to learn more about the CAN bus and its applications. The book assumes that the reader has some knowledge of basic electronics. Knowledge of the C and Python programming languages and programming the Arduino Uno using its IDE and Raspberry Pi will be useful, especially if the reader intends to develop microcontroller-based projects using the CAN bus. The book should be a useful source of reference material for anyone interested in finding answers to questions such as: What bus systems are available for the automotive industry? What are the principles of the CAN bus? How can I create a physical CAN bus? What types of frames (or data packets) are available in a CAN bus system? How can errors be detected in a CAN bus system and how dependable is a CAN bus system? What types of CAN bus controllers exist? How do I use the MCP2515 CAN bus controller? How do I create 2-node Arduino Uno-based CAN bus projects? How do I create 3-node Arduino Uno-based CAN bus projects? How do I set the acceptance masks and acceptance filters? How do I analyze data on the CAN bus? How do I create 2-node Raspberry Pi-based CAN bus projects? How do I create 3-node Raspberry Pi-based CAN bus projects?

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Le téléchargement intégral de ce numéro est disponible pour nos membres GOLD et GREEN sur le site Elektor Magazine ! Pas encore membre ? Cliquez ici. petite caméra thermiqueréalisée avec un Arduino UNO mise à jour du projet #3 : compteur d'énergie basé sur l'ESP32intégration et test avec Home Assistant 2024 : l'odyssée de l'IAaméliorer la détection d'objets : intégration de techniques avancées Raspberry Pi se met à l'IAun nouveau kit comprenant un accélérateur IA matériel et un adaptateur M.2 HAT+ capteurs de stations météorologiqueslequel choisir ? Relevé des compteurs d'eau basé sur l'IA (1)intégrez votre ancien compteur dans l'IdO ! une alarme GSMun module GSM protège votre garage à distance optimisation et contrôle des appareils Thread à faible consommation d'énergiefaible consommation... peu d’effort ? sur le vifmontrez-moi là où ça fait mâle chambre à brouillard à faire soi-mêmevisualiser les rayonnements invisibles SparkFun Thing Plus Mattercarte de développement IdO polyvalente basée sur Matter Rétroéquipement IoTAdaptation des machines à interface RS232 à l'industrie 4.0 ajouter l’IoT grâce aux microcontrôleurs 8 bits la technologie au service du développement durableles avancées technologiques favorisent une utilisation plus efficace de l’énergie dans de nombreuses applications AWS pour Arduino et Cie. (1)utiliser AWS IoT ExpressLink en pratique détecteur de flux d'air Arduinoaucun capteur externe n'est nécessaire ! détecteur de fuite d'eauconnecté à l’Arduino Cloud le quartzdrôle de composant, la série enregistreur universel de données de jardinageun pas vers l’Intelligence Artificielle au Jardin. un générateur analogique 1 kHzondes sinusoïdales à faible distorsion Miletus : utiliser les applications Web hors ligneaccès aux fonctions de l’appareil et du système de la 4G à la 5Gest-ce une étape si facile à franchir ? démarrer en électronique…connexions symétriques

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Elektor 05-06/2021 en PDF (DE)

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here.

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Messtechnik für Niederfrequenzverstärker (E-book)

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The RISC-V Open-Source Processor Architecture16 Boards and MCUs You Should Know An FPGA-Based Audio Player with Equalizer (1)Mixing Digital Audio with an Arduino MKR Vidor 4000 Laser Head for Pico-Based Sand ClockDrawing with Light Enter the STM32 Edge AI Contest A Multi-Sensor Environmental Monitoring System for PlantsWireless Measurement of Water Supply and Light Conditions Maixduino AI-Powered Automatic DoormanFace Detection with a Camera Embedded Electronics 2024AI Is Set to Redefine the Industry Charge-Based In-Memory Compute at EnCharge AI AI Inferencing at 10 Times Lower Power and 20 Fold Lower Cost Click Board Helps Develop and Train ML Models for Vibration Analysis The Elektor Mini-WheelieA Self-Balancing Robot Kit MCU, I See YouMCUViewer Open-Source Multiplatform Debugging Tool USB 2.0 IsolatorElectrically Isolated Connections for USB Devices Intervention Before DamagePredictive Maintenance in Practice SPoE – Electromagnetic CompatibilitySingle-Pair with Power-Over-Ethernet Through the Eyes of EMC Color TV: A Wonder of Its TimeCreating a New World ECG Graph MonitoringAn Implementation with Hexabitz Modules and an STM32CubeMonitor The Battle for AI at the Edge HaLow Hits Record 16-km Wi-Fi Distance at 900 MHz First CHERI RISC-V Embedded Chip and Early Access Programme Third-Generation Wildfire Detection Uses Satellite Links From Life’s ExperienceChoice Overload Starting Out in Electronics……Continues Filtering and Controls Tone Quasi-Analog ClockworkA Remake of an Elektor Classic A Modular Approach to Sensor TestingThe ESP32-S3-Based Sensor Evaluation Board 2025: An AI OdysseyThe Rise of Foundation Models and Their Role in Democratizing AI Raspberry Pi Standalone MIDI Synthesizer (1)Preparing a Platform for Some Edge AI Experiments Err-lectronicsCorrections, Updates, and Readers’ Letters Universal AI RISC-V Processor Does It All — CPU, GPU, DSP, FPGA CEO Interview: Ventiva’s Thin and Cool Tech Dual-Core Programming with a Raspberry Pi PicoVenture Into the World of Parallel Programming

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In Elektronica Kunst & Kunde worden alle onderwerpen behandeld die ook in standaard elektronica-leerboeken aan de orde komen, plus een groot aantal belangrijke maar vaak veronachtzaamde zaken. In dit tweede deel aandacht voor onder meer de volgende onderwerpen: phase-locked loop-schakelingen, opto-elektronica, busschakelingen, capacitieve belasting, bekabeling, interfacing timing, naaldpulsen, klokvertraging, monostabiele multivibratoren de IBM-PC en de Intel-fanilie, RS232-kabels, seriële poorten, ASCII, modems, SCSI, IPI, GPIB, parallele poorten, local-area-networks de 68000-microprocessorfamilie, perifere LSI-chips, geheugen, programmeerbare instrumenten prototypering, het ontwerpen van printplaten, wire-wrap-technieken, CAD/CAM technieken, de bouw van schakelingen HF-modules, vereenvoudigd ontwerp van HF-versterkers en high-speed schakelaars batterijen, accu's en zonnecellen; micropower-regelaars, -opamps en -microprocessoren methoden om de bandbreedte te beperken, middeling van signalen, lock-in versterkers, pulshoogte-analyse, 'multichannel-scaling'

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Audioschaltungstechnik (E-book)

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Build your own AI microcontroller applications from scratch The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications. This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board: Onboard LEDs and buttons External LEDs and buttons Using analog-to-digital converters I²C projects SPI projects UART projects External interrupts and timer interrupts Using the onboard microphone Using the onboard camera Convolutional Neural Network

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Sprachsteuerung von IoT-Projekten mit Amazon Alexa gibt dem Leser einen tiefen Einblick in die Technik der Sprachsteuerung am Beispiel von Amazon Alexa. Es erklärt detailliert Schritt für Schritt, wie man Raspberry Pi, ESP8266/32 und Arduino mit einem Sprachassistenten verbindet und steuert. Dieses geschieht anhand von Projekten aus den Bereichen Hausautomation und Robotik. Der Leser erfährt, wie man Heizkessel, Roboter und Gartenhäuser mit dieser modernen Mensch-Maschine-Schnittstelle kommandieren kann. Der Autor Walter Trojan führt dabei den Leser in die vielschichtige Welt der Amazon Web Services ein, wo er neben dem Alexa Skills Kit weitere Module wie AWS Lambda und IoT Core kennenlernt. Das erwartet den Leser: Kapitel 1: Sprachassistenten setzen sich durch Kapitel 2: Alexa intern Kapitel 3: Der erste Alexa Skill Kapitel 4: Alexa Skills für Fortgeschrittene Kapitel 5: Erster Hardware-Skill auf Raspberry Pi Kapitel 6: Auch Alexa liebt die Arduino-IDE Kapitel 7: Hacks mit Schaltern Kapitel 8: Alexa steuert ein Gartenhaus Kapitel 9: Auch Roboter gehorchen Alexa Kapitel 10: Alexa geht fremd

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