Zoekresultaten voor "pican or 3 or can or bus or board or for or raspberry or pi or 4 or with or 3 or a or smps or rtc"

Bouw uw eigen RISC-V-controllerEerste stappen met de NEORV32 RISC-V softcore voor goedkope FPGA’s Het gebruik van Arduino’s seriële plotterGrafieken plotten met Arduino is gemakkelijk CLUE van AdafruitEen slimme oplossing voor IoT-projecten Bufferboard voor de Raspberry Pi 400Bescherm uw I/O’s Raspberry Pi RP2040-boards in overvloed Een handboek voor DHZ elektronische beveiliging en spionageSRAM – gebakken of diepgevroren Onderdelen identificerenTips & trucs, vakkunstigheden en andere nuttige informatie DHZ aanraakloze lichtschakelaar Alle begin......gaat compenseren en transformeren Nieuwe embedded-ontwikkelingenRust en het up-to-date houden van IoT-implementaties Infographics Hoe de industrie- en automobielsector zullen profiteren van 5G Relais met bewegende spoelVreemde onderdelen Oost West Lab BestAlles draait om de bank... Kennismaking met neuronen in neurale netwerkenDeel 4: embedded neuronen Magnetische levitatie “the very easy way”De derde en meest compacte versie PLC-programmering met de Raspberry Pi en het OpenPLC-projectVisualisatie van PLC-programma’s met AdvancedHMI Uit het leven gegrepenInpakken en wegwezen Onder de radarMicrocontrollers die u zou moeten kennen Draadloos monitoren en debuggenvoor Arduino, ESP32 en co. Draagbare temperatuur- en vochtigheidsmetermet gebruiksklare modules Lithium-accupacks reparerenSpaart geld + geeft meer kracht! GUI's maken met PythonMeme-Generator De drie grote vraagtekensWaarom wat wie Hexadoku

Lees (+) (–)

50+ Android Apps with Raspberry Pi, ESP32 and Arduino This book is about developing apps for Android compatible mobile devices using the MIT App Inventor online development environment. MIT App Inventor projects can be in either standalone mode or use an external processor. In standalone mode, the developed application runs only on the mobile device (e.g. Android). In external processor-based applications, the mobile device communicates with an external microcontroller-based processor, such as Raspberry Pi, Arduino, ESP8266, ESP32, etc. In this book, many tested and fully working projects are given both in standalone mode and using an external processor. Full design steps, block programs, circuit diagrams, QR codes and full program listings are given for all projects. The projects developed in this book include: Using the text-to-speech component Intonating a received SMS message Sending SMS messages Making telephone calls using a contacts list Using the GPS and Pin-pointing our location on a map Speech recognition and speech translation to another language Controlling multiple relays by speech commands Projects for the Raspberry Pi, ESP32 and Arduino using Bluetooth and Wi-Fi MIT APP Inventor and Node-RED projects for the Raspberry Pi The book is unique in that it is currently the only book that teaches how to develop projects using Wi-Fi and Node-RED with MIT App Inventor. The book is aimed at students, hobbyists, and anyone interested in developing apps for mobile devices. All projects presented in this book have been developed using the MIT App Inventor visual programming language. There is no need to write any text-based programs. All projects are compatible with Android-based mobile devices. Full program listings for all projects as well as detailed program descriptions are given in the book. Users should be able to use the projects as they are presented, modifying them to suit their own needs.

Lees (+) (–)

Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. USB Measurement AdapterTesting Current and Signal Quality of USB Ports 4...20 mA Current Output for Arduino UnoA Reliable, EMI-Insensitive Current Loop Interface Vacuum Cleaner Automatic ControlKeep Your Tools’ Work Area Clean DDS Generator with ATtiny Opamp-Tester V2New PCB – Now Also Suitable for SMDs 550-mW “Lamp” Audio AmplifierGet the Warm Sound of Vacuum Tubes With Ease Fuse GuardMonitoring a Fuse with a Flashing LED HQ RIAA PreamplifierGet the Most Out of Your Vinyl Records! Turntable Speed CalibratorAn Arduino-Based 100–120 Hz Strobe Light Generator Elektor Classics: video buffer/repeater Infrared Remote-Controlled DimmerControl Your Halogen or LED Floor Lamp Effortlessly and With Style How to Use switch…case on Strings in C++/Arduino IDE Magnet FinderWith a Simple Hall-Effect Sensor Raspberry Pi Smart Power ButtonA Solution for Raspberry Pi Up to Model 4 Essential Maker TipsProfessional Insights for Everyday Making Practical Projects with the 555 TimerDC Motor Control and Fast Reaction Challenges Basic AC-Load-On MonitorSave Energy with a Simple Device Power Banks in ParallelA Three-Day Continuous Power Solution VFO Up to 15 MHzAn Implementation With Raspberry Pi Pico Violin Tuner with ATtiny202 Elektor Classics: video amplifier for B/W television sets Capacitance Meter20 pF to 600 nF Quasi-Analog Clockwork Mk IITwo LED Rings for Hours and Minutes You Can Do Anything You Want(with the Arduino Ecosystem at Your Side) Neon Lamp Dice Elektor Classics: RTTY calibrator indicator Inspiring Hardware Designs for Your ESPs Elektor Classics: variable 3 A power supply RGB LEDs with Integrated Control CircuitLight with Precision: ICLEDs Set Standards Experiment: Towards a Mixed-Signal Theremin?Blending Modern Time-of-Flight Sensors With the Timeless XR2206 Analog Generator ESP32 Audio Transceiver Board (Part 1)SD Card WAV File Player Demo Infographics: Circuits and Circuit Design 2025 Small Audio MixerA Simple and Versatile Scalable Design Smart Staircase Light TimerSave More Money on the Energy Bill! Smarten Up Your ShuttersControlling Velux Hardware With an ESP32 and MQTT Solid-State Foot WarmerEnergy-Efficient Comfort Is the M5Stamp Fly Quadcopter the Next Tello? Boosting Wi-Fi Range of the ESP32-C3 SuperMiniA Simple and Effective Antenna Mod ZD-8968 Hot-Air Soldering StationA Budget-Friendly Workhorse or Just Hot Air? Parking Sensor TesterFinding Defects in the PDC System of a Car

Lees (+) (–)

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

Lees (+) (–)

KENNISMAKING MET NEURONEN IN NEURALE NETWERKEN (DEEL 1)Kunstmatige Neuronen EMC PRE-COMPLIANCE TEST VOOR UW DC-GEVOED PROJECT (DEEL 1)Dubbele DC-LISN ELEKTRONISCHE BELASTING VOOR DC EN ACTot 400 V en 10 A (piek) ALLE BEGIN......neemt het op tegen de spoel! BEELDVERWERKING MET DE NVIDIA JETSON NANO (DEEL 1)De Hardware en Software EEN GEDETAILLEERD ONDERZOEK NAAR NETTRANSFORMATORENIn- en uitschakelgedrag YES WE CAN MET PICAN 3Een CAN Bus HAT voor de Raspberry Pi 4 ZONNEPANELEN OP JE BALKONZelfbouw balkoncentrale = snel terugverdiend! BEELDVERWERKING EN VIDEO-STREAMING MET EEN RASPBERRY PI 4De Raspberry Pi High-Quality Camera in de praktijk DISPLAYS GEBRUIKEN IN RASPBERRY PI-PROJECTENEen hoofdstuk als voorbeeld: Organische LED-displays (OLED) KENNISMAKING MET DE PARALLAX PROPELLER 2 (DEEL 4):Tekens Versturen ELEKTOR @ 60Een terugblik op voorgaande septembers OOST WEST LAB BESTop het Friese platteland, waar de buizen bloeien... HYBRIDENVreemde onderdelen, de serie EEN KOMPASROOS MET DE GY-271Of waarom we in een acht bewegen om een sensor te kalibreren HOE GROOT IS UW VOETAFDRUK?Bereken de ecologische voetafdruk van uw elektronica CONNECTED THERMOSTAAT MET ESP32Houd uw wijn op de juiste temperatuur! MAGNETISCHE LEVITATIE OP DE DIGITALE MANIERESP32 Pico vervangt de Analoge Comparator ULTIMATE ARDUINO UNO HARDWARE MANUALEen hoofdstuk als voorbeeld: Main Microcontroller Bootloader MICROPYTHON VOOR DE ESP32 C.S. (DEEL 2)Eenvoudig Matrix Displays besturen MADMACHINE SWIFTIO BOARDModerne taal ontmoet moderne Hardware UIT HET LEVEN GEGREPENKnipperlichtrelatie HEXADOKUThe Original Elektorized Sudoku

Lees (+) (–)

A Practical Guide to AI, Python, and Hardware Projects Welcome to your BeagleY-AI journey! This compact, powerful, and affordable single-board computer is perfect for developers and hobbyists. With its dedicated 4 TOPS AI co-processor and a 1.4 GHz Quad-core Cortex-A53 CPU, the BeagleY-AI is equipped to handle both AI applications and real-time I/O tasks. Powered by the Texas Instruments AM67A processor, it offers DSPs, a 3D graphics unit, and video accelerators. Inside this handbook, you‘ll find over 50 hands-on projects that cover a wide range of topics—from basic circuits with LEDs and sensors to an AI-driven project. Each project is written in Python 3 and includes detailed explanations and full program listings to guide you. Whether you‘re a beginner or more advanced, you can follow these projects as they are or modify them to fit your own creative ideas. Here’s a glimpse of some exciting projects included in this handbook: Morse Code Exerciser with LED or BuzzerType a message and watch it come to life as an LED or buzzer translates your text into Morse code. Ultrasonic Distance MeasurementUse an ultrasonic sensor to measure distances and display the result in real time. Environmental Data Display & VisualizationCollect temperature, pressure, and humidity readings from the BME280 sensor, and display or plot them on a graphical interface. SPI – Voltmeter with ADCLearn how to measure voltage using an external ADC and display the results on your BeagleY-AI. GPS Coordinates DisplayTrack your location with a GPS module and view geographic coordinates on your screen. BeagleY-AI and Raspberry Pi 4 CommunicationDiscover how to make your BeagleY-AI and Raspberry Pi communicate over a serial link and exchange data. AI-Driven Object Detection with TensorFlow LiteSet up and run an object detection model using TensorFlow Lite on the BeagleY-AI platform, with complete hardware and software details provided.

Lees (+) (–)

Datenbankmodelle und -software für Elektronikanwendungen Mit seiner Energieeffizienz und seinem reichen Spektrum an quelloffener Software eignet sich der Einplatinencomputer Raspberry Pi auch für die Speicherung von Daten und deren grafische Aufbereitung lokal oder im World Wide Web (WWW). Dieses Buch stellt verschiedene Datenbankmodelle und diverse Datenbanksoftware vor: SQL: MariaDB, SQLite InfluxDB: Telegraf Grafana MQTT Verschlüsselung mit RPi Apache PHP Node RED Docker Es zeigt darüber hinaus ausgewählte Ansätze, gespeicherte Daten anzuzeigen und zu verwalten. Ein eigener Abschnitt ist sowohl der SSL-Verschlüsselung der Verbindung als auch dem Betrieb von Servern im WWW gewidmet. Das Buch richtet sich an alle, die neugierig sind und gerne die Möglichkeiten des Raspberry Pi ausloten möchten, die einen Einstieg in das Datenmanagement mit Datenbanken suchen, die mit einfachen Mitteln schnell loslegen möchten, die Alternativen aufgezeigt bekommen möchten, die in komprimierter Form Tipps für eigene Entwicklungen suchen, die Freude am eigenen Entwickeln und Realisieren haben. Programmierkenntnisse und -erfahrungen sind für die Installation der Software nicht erforderlich. Jeder einzelne Schritt wird detailliert beschrieben und mit Screenshots visuell unterlegt.

Lees (+) (–)

IMAGE PROCESSING WITH THE NVIDIA JETSON NANO (PART 2)Image Recognition Using Edge Impulse ELEKTOR JUMPSTARTER NEWSUpcoming Campaigns AN OPEN-SOURCE GPS TRACKING PLATFORMTraccar Maps Vehicle Tracking Without the Need for a Third-Party Cloud Server JOY-IT LCR-T7 MULTI-FUNCTION TESTERTesting Passives, Discrete Semiconductors and IR Remote Controls NOISE SYNTHESIZERFrom Noise to Music with the PRBSynth1 STARTING OUT IN ELECTRONICSEasier than Imagined! ... Continuing with the Coil UNDERSTANDING THE NEURONS IN NEURAL NETWORKS (PART 2)Logical Neurons ISSUES WITH SECURITY? FIGHT FIRE WITH FIRE!Flashbulb-Protected Analogue Memory Add-on For the Tamper-Evident Box LCR METER POSTER BLUETOOTH BEACONS IN PRACTICEBeacons Light the Way Ahead C PROGRAMMING ON RASPBERRY PICommunicating over Wi-Fi (Sample Chapter) EMC PRE-COMPLIANCE TEST FOR YOUR DC-POWERED PROJECT (PART 2)The Hardware and How to Use It HANDS ON THE PARALLAX PROPELLER 2 (PART 5)Inside the Smart Pin MODBUS OVER WLAN (PART 1)Hardware and Programming HOMELAB TOURSWhere the Junior Computer Is Brought to Life Again BUILD YOUR OWN HIGH-PRECISION CALIBRATOR-10 V to +10 V, 0 to 40 mA, 0.001% ARDUINO NANO RP2040 CONNECTRaspberry Pi RP2040 + Wi-Fi + Bluetooth THE PHYSICAL BODY OF ARTIFICIAL INTELLIGENCE ERR-LECTRONICSCorrections, Updates and Readers’ Letters CREATE GUIS WITH PYTHONIntroducing guizero CO2 METER KIT FOR THE CLASSROOMAn ESP8266-Based Device from the University of Applied Sciences Aachen NOSTALGIC MK484 MW/LW RADIO...Always Fun to Build! ELEKTOR @ 60Let There Be Light! HEXADOKUThe Original Elektorized Sudoku

Lees (+) (–)

De SDRplay RSP1B is een verbeterde versie van de populaire RSP1A – een krachtige, breedbandige, complete 14-bits SDR die het RF-spectrum van 1 kHz tot 2 GHz bestrijkt. De RSP1B is uitgevoerd in een robuuste, zwartgelakte stalen behuizing en biedt aanzienlijk verbeterde ruisprestaties. Het enige wat nodig is, is een computer en een antenne voor uitstekende communicatie- en ontvangstfunctionaliteit. Het wordt geleverd met SDRuno voor Windows en de multi-platform SDRconnect-software voor Windows, macOS en Linux (gratis geleverd door SDRplay). U kunt tot 10 MHz spectrum tegelijk monitoren. Een gedocumenteerde API stelt ontwikkelaars in staat om nieuwe demodulatoren of applicaties voor het platform te creëren. Kenmerken Covers all frequencies from 1 kHz through VLF, LF, MW, HF, VHF, UHF and L-band to 2 GHz, with no gaps Receive, monitor and record up to 10 MHz of spectrum at a time Free use of windows-based SDRuno software which provides an ever-increasing feature-set Strong and growing software support network Calibrated S meter/ RF power and SNR measurement with SDRuno (including datalogging to .CSV file capability) Documented API provided to allow demodulator or application development on multiple platforms Excellent dynamic range for challenging reception conditions Works with popular 3rd party SDR software (including HDSDR, SDR Console and Cubic SDR) ExtIO based plugin available Software upgradeable for future standards Strong and growing software support network API provided to allow demodulator or application development Multiplatform driver and API support including Windows, Linux, Mac, Android and Raspberry Pi Up to 16 individual receivers in any 10 MHz slice of spectrum using SDRuno Calibrated S meter and power measurements with SDRuno Stand-alone windows-based spectrum analyser software available (with sweep, sample and hold features) Ideal for monitoring of ISM/IoT/Telemetry bands <2 GHz Ideal for portable operation Specificaties Frequency Range 1 kHz – 2 GHz Antenna Connector SMA Antenna Impedance 50 Ohms Current Consumption (Typical) 185 mA (excl. Bias-T) USB Connector USB Type B Maximum Input Power +0 dBm Continuous+10 dBm Short Duration ADC Sample Rates 2-10.66 MSPS ADC Number of Bits 14 bit 2-6.048 MSPS12 bit 6.048-8.064 MSPS10 bit 8.064-9.216 MSPS8 bit >9.216 MSPS Bias-T 4.7 V100 mA guaranteed Reference 0.5ppm 24 MHz TCXO.Frequency error trimmable to 0.01ppm in field. Operating Temperature Range -10✓C to +60✓C Dimensions 98 x 88 x 34 mm Weight 110 g Downloads Datasheet Software RSP1B vs RSPdx vs RSPduo RSP1B RSPdx RSPduo Continuous coverage from 1 kHz to 2 GHz ✓ ✓ ✓ Up to 10 Mhz visible bandwidth ✓ ✓ ✓ 14-bit ADC silicon technology plus multiple high-performance input filters ✓ ✓ ✓ Software selectable AM/FM & DAB broadcast band notch filters ✓ ✓ ✓ 4.7 V Bias-T for powering external remote antenna amplifier ✓ ✓ ✓ Powers over the USB cable with a simple type B socket ✓ ✓ ✓ 50✓ SMA antenna input(s) for 1 kHz to 2 GHz operation (software selectable) 1 2 2 Additional software selectable Hi-Z input for up to 30 Mhz operation ✓ Additional software selectable 50✓ BNC input for up to 200 MHz operation ✓ Additional LF/VLF filter for below 500 kHz ✓ 24 MHz reference clock input (+ output on RSPduo) ✓ ✓ Dual tuners enabling reception on 2 totally independent 2 MHz ranges ✓ Dual tuners enabling diversity reception using SDRuno ✓ Robust and strong plastic case (with internal RF shielding layer) ✓ Rugged black painted steel case ✓ ✓ Overall performance below 2 MHz for MW and LF + ++ + Multiple simultaneous applications + + ++ Performance in challenging fading conditions (*using diversity tuning) + + *++

Lees (+) (–)

Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! Die Open-Source-Prozessorarchitektur RISC-V16 Boards und MCUs, die Sie kennen sollten Audio-Player mit FPGA und EqualizerTeil 1. Digitale Audiosignale mischen mit einem MKR Vidor 4000 von Arduino Laserkopf für Pico-basierte SanduhrZeichnen mit Licht Nehmen Sie teil am STM32 Edge AI Contest! Umweltüberwachung von Pflanzen mit mehreren SensorenDrahtlose Messung der Wasserversorgung und Lichtverhältnisse Maixduino: Automatischer KI-TüröffnerGesichtserkennung mit einer Kamera Embedded-Elektronik 2024KI wird die Branche neu definieren Ladungsbasiertes In-Memory Compute bei EnCharge AI KI-Inferencing bei 10-fach geringerer Leistungsaufnahme zu 20-fach geringeren Kosten Click-Board hilft bei der Entwicklung und dem Training von ML-Modellen für die Schwingungsanalyse Der Elektor Mini-WheelieEin Bausatz für einen selbstbalancierenden Roboter MCU, ich sehe dich!MCUViewer, ein Open-Source-Multiplattform-Debugging-Werkzeug USB-2.0-IsolatorGeräte galvanisch isoliert per USB verbinden Eingriff vor dem SchadenPredictive Maintenance in der Praxis SPoE - Elektromagnetische VerträglichkeitSingle-Pair mit Power-over-Ethernet im EMV-Fokus Retro-TechnikWie das Farbfernsehen eine neue Welt schuf EKG-MonitorMit Hexabitz-Modulen und einem STM32CubeMonitor Der Kampf um KI at the Edge HaLow erreicht Rekorddistanz von 16 km für WLAN bei 900 MHz Erster CHERI RISC-V-Embedded Chip und Early Access Programm Die dritte Generation der Waldbrandfrüherkennung nutzt Satellitenverbindungen Aus dem Leben gegriffenDie Qual der Wahl Aller Anfang......ist nicht schwer: Wir setzen die Filterung und Klangregelung fort. Riesen-LED-UhrNeuauflage eines Elektor-Klassikers Ein modularer Ansatz für die SensorprüfungDas Sensor Evaluation Board mit ESP32-S3 2025: Eine Odyssee in die KIDer Aufstieg der Basismodelle und ihre Rolle bei der Demokratisierung der KImocratizing AI Standalone MIDI-Synthesizer mit Raspberry PTeil 1: Eine Plattform für Edge-KI-Experimente vorbereiten Projekt 2.0Korrekturen, Updates und Leserbriefe CPU, GPU, DSP, FPGA; ein universeller KI-RISC-V-Prozessor kann alles! CEO-Interview: Ventivas dünne und kühle Technologie Dual-Core-Programmierung beim Raspberry Pi PicoEinstieg in die Welt der parallelen Programmierung

Lees (+) (–)

AI in Practice Dive into the fascinating world of robotics and automation! This Elektor Special shows you how to build your own robots with creativity, a little know-how, and affordable technology. From your first DIY project with Arduino or Raspberry Pi to intelligent systems with AI – this issue makes modern robotics understandable and accessible. Discover practical instructions, inspiring projects, and exciting insights into the maker scene. Learn how experimentation, community, and openness give rise to true innovation – and why robotics is so much more than just a technical hobby. Contents Imagination turns into reality Arduino-controlled Drawing Robot GalaxyRVR Mars Rover Kit for Arduino YDLIDAR X4Pro Lidar xHuskyLens AI Camera DOF Robot Arm with Raspberry Pi Pico Manufacturing Robots with Fischertechnik Pneumatic Industrial Robot Why Do We Keep Building Robot Dogs? Elektor Mini-Wheelie Robot Vehicles and Autonomous Driving

Lees (+) (–)

MOTOREN AANSTUREN MET H-BRUGGENeen inleiding tot gelijkstroom-, stappen- en borstelloze motoren HET ELEKTOR LAB-TEAMonze aanpak, onze tools – en meer... RASPBERRY PI ALS KVM-AFSTANDSBEDIENINGsoftwaretest Pi-KVM IQAUDIO CODEC ZEROgeluidskaart voor de Raspberry Pi-familie WAT WE KUNNEN LEREN VAN HET PIKVM-PROJECTeen vraaggesprek met Maxim Devaev AUTONOOM RIJDEN MET 2D-LIDARESP32 Pico interpreteert gegevens van de lidar-module DE RASPBERRY PI ZERO 2 W GAAT QUAD-CORE NOTITIES BIJ VAN HET WORLD ETHICAL ELECTRONICS FORUM 2021 MOTORBESTURINGhoe de complexiteit van motorbesturing wordt gereduceerd GROTE ELEKTROMOTORENbasisprincipes en nuttige informatie AAN DE SLAG MET DE ESP32-C3 RISC-V MCU BESCHERM UZELF EN ANDEREN!DHZ-hoofdschakelaar voor uw werkbank GUI'S MAKEN MET PYTHON (DEEL 2)Spionnennaamkiezer PRODUCTRONICA FAST FORWARD 2021: DE WINNAARSspannende technologieën en creatieve engineeringoplossingen VEELZIJDIGE SERVOTESTERcontroleer het gedrag, ook zonder datasheet MODBUS VIA WLANdeel 2: software voor de Modbus TCP WLAN-module KENNISMAKING MET NEURONEN IN NEURALE NETWERKENdeel 3: neuronen in de praktijk IN EEN OPEN SOURCE-PROCESSORvoorbeeldhoofdstuk: vergelijking van Lattice- en Xilinx-FPGA’s ALLE BEGIN......is nog niet klaar met de spoel PROJECT 2.0correcties, updates en brieven van lezers KLEUR NAAR GELUIDeen kleursensor via I2C uitlezen BATTLAB-ONEmeet en optimaliseer de gebruiksduur van IoT-accu’s EENVOUDIGE AARDLEKTESTERisolatietest voor lichtnetinstallaties ARMOEDE EN ELEKTRONICAhet streven naar duurzame ontwikkeling HEXADOKUpuzzelen voor elektronici

Lees (+) (–)