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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Small Thermal Imaging CameraAn Arduino UNO-Based DIY Solution Project Update #3: ESP32-Based Energy MeterIntegration and Testing with Home Assistant 2024: An AI OdysseyEnhancing Object Detection: Integrating Refined Techniques Raspberry Pi Goes AINew Kit Incorporates M.2 HAT+ With AI Accelerator Weather Station SensorsWhich One Should You Choose? AI-Based Water Meter Reading (1)Get Your Old Meter Onto the IoT! A GSM AlarmHarnessing GSM Technology for Remote Garage Safety Low-Power Thread Devices Optimized and ScrutinizedLow Power … Low Effort? From Life’s ExperienceThe Gender Gap DIY Cloud ChamberMaking Invisible Radiation Visible SparkFun Thing Plus MatterA Versatile Matter-Based IoT Development Board IoT RetrofittingMaking RS-232 Devices Fit for Industry 4.0 Enabling IoT with 8-Bit MCUs Technology Drives SustainabilityAdvances Lead to More Efficient Use of Energy in Many Applications AWS for Arduino and Co. (1)Using AWS IoT ExpressLink in Real Life Airflow Detector Using Arduino OnlyNo External Sensors Needed! Water Leak DetectorConnected to Arduino Cloud CrystalsPeculiar Parts, the Series Universal Garden LoggerA Step Towards AI Gardening Analog 1 kHz GeneratorSine Waves with Low Distortion Miletus: Using Web Apps OfflineSystem and Device Access Included! From 4G to 5GIs It Such an Easy Step? Starting Out in Electronics……Balances Out

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. An Autonomous Sensor NodeLoRa-Based Data Transmission and Power by Solar Cells Elektor eXpansion Board v1.0For ESP32-S3 and other XIAO controller boards Model Railroad with CameraInstalling an ESP32 CAM Module Broadband Magnetic Antenna for Long WaveMultiple Channels Without Tuning TensorFlow Lite on Small MicrocontrollersA (Very) Beginner’s Point of View A Hub for RS-422 and RS-485 DevicesWire Your Bus Like a Star RF ProbeWith LED Bar Graph Starting Out in Electronics……Reviews More Opamp Circuits Open VarioThe Open-Source Multifunction Variometer for Paragliding From Life’s ExperienceAbout Taking Things for Granted AI-Based Water Meter Reading (Part 2)Get Your Old Meter Onto the IoT! ML-Based Pest DetectionSmart Agriculture Device With IoT Connectivity Why Anybus CompactCom Is the Ideal Choice for Embedded Industrial Communication IQRF Communication StandardReliability for Lossy, Low-Rate Wireless Mesh Networks How to Build a Smart Agricultural RobotEssential Technical Considerations and Challenges Audio Notch Filter with Adjustable FrequencyUniversal Solution for Suppressing Frequencies in Audio Applications The LeoINAGPS SystemGets Useful Insights on Your Electric Vehicle Solar-Powered LoRa NodeA Modular, Compact, and Versatile IoT Solution AWS for Arduino and Co. (2)Sending Data Using AWS IoT ExpressLink Err-lectronicsCorrections, Updates, and Readers’ Letters 2024: An AI OdysseyDesktop Versus Embedded Accelerators: A Look at Some Options ESP32 Range ExtenderA Simple Antenna Modification

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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. qu’est-ce que l’edge AI ?L’IA, intégrée à l’appareil découvrez Edge Impulse StudioConcevez et déployez facilement des modèles d’IA en périphérie détection de mots-clés avec Edge ImpulseCollecter, entraîner et déployer contrôle d’appareils par commande vocale avec le Nordic Thingy:53 Termes clés pour comprendre l’edge AI et le machine learning cours accéléré : démarrez avec Edge ImpulseApprenez à collecter, entraîner et déployer un modèle ML avec l’Arduino Nano 33 BLE Sense un nouveau chapitre pour ArduinoD’une carte pour amateurs à une plateforme d’edge computing premiers pas avec la détection d’objets sur des appareils edge détection de défauts sur circuits imprimésVision par ordinateur avec Raspberry Pi adapter l’IA aux appareils les plus compacts optimiser l’efficacité énergétique des appareils edge AI alimentés sur batterie grille-pain intelligentL’IA qui reconnaît le toast parfait Thundercomm Rubik Pi 3Raspberry Pi et l’edge AI, enfin réunis Leadership, ML embarqué et révolution de l’IA en périphérie modèles vision-langage en périphérieCascade de modèles pour une meilleure fiabilité découvrez Edge ImpulseQuestions de la communauté Elektor mise à jour du projet n°5 : Compteur d’énergie ESP32Utiliser l’Edge AI pour identifier les charges domestiques reconnaissance de mouvements avec détection d’anomaliesUn tutoriel détaillé système de ventilation intelligent : fusion des données sonores et environnementalesUtilisation d’un microcontrôleur double-cœur et du ML pour l’automatisation des fenêtres et persiennes intégrer la commande vocale aux écouteurs et aux casques l'IA en périphérie : au cœur des appareils de demain

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From SRPP and Mu-Follower to OTL Designs Tube amplifiers suffer from distortion. Fortunately, circuits such as the SRPP amplifier, mu-follower, and beta-follower produce minimal distortion even at output voltages of 50 to 100 Vpeak. These designs are often published with errors. Without a sound understanding of the theory, it is easy to arrive at a flawed design. In the first section of this book, we investigate the origin of distortion, while in the second we investigate the design of and SRPP and a mu-follower. On the internet we can find the most exotic designs. Evaluating them teaches us that these designs often make matters worse rather than better. In the chapter on incorrect SRPPs and mu-followers, we sometimes see bizarre and misguided designs where using a simple single-triode amplifier would perform much better. Push-pull output stages also exist. A great number of them are examined, and their similarity to the SRPP is discussed. This is done especially with the help of the theory behind the OTL based on the ‘mother’ of all OTLs, the Philips HF303. Finally, attention is given to frequency characteristics and technical matters such as the supply voltage and the filament power supply. To illustrate these points, there are a few designs covering the subjects discussed. This book presents much new theory that has not been published before. It is often an eye-opener, showing that many things have a beautiful and unexpected simplicity.

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RFID technology has conquered many areas in which barcodes, magnetic strips and contact smartcards were used previously. Everyday applications, such as electronic ticketing, access cards, debit cards and electronic identity documents would not be possible without this technology. MIFARE is the most widely used RFID technology, and this book provides a practical and comprehensive introduction to it. Among other things, the initial chapters cover physical fundamentals, relevant standards, RFID antenna design, security considerations and cryptography. The complete design of a reader’s hardware and software is described in detail. The reader’s firmware and the associated PC software support programming using any .NET language. The specially developed PC program, “Smart Card Magic.NET”, is a simple development environment that supports sending commands to a card at the click of a mouse, as well as the ability to create C# scripts. Alternatively, one may follow all of the examples using Visual Studio 2010 Express Edition. Finally, the major smart card reader API standards are introduced. The focus is on programming contactless smartcards using standard PC/SC readers using C/C++, Java and C#.

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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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Der Elektor Audio DSP FX Processor kombiniert einen ESP32-Mikrocontroller und einen ADAU1701 Audio DSP von Analog Devices. Neben einem vom Benutzer programmierbaren DSP-Kern verfügt der ADAU1701 über hochwertige integrierte Analog-Digital- und Digital-Analog-Wandler und verfügt über einen I²S-Port. Dadurch eignet es sich als hochwertiges Audio-Interface für den ESP32. Programme für den ESP32 können mit Arduino, Platform IO, CMake oder durch die Verwendung des Espressif IDF auf andere Weise erstellt werden. Programme für die Audio-DSPs ADAU7101 werden mit dem kostenlosen visuellen Programmiertool SigmaStudio durch Ziehen und Ablegen vordefinierter Algorithmusblöcke auf einer Leinwand erstellt. Anwendungen Bluetooth/Wi-Fi-Audiosink (z. B. Lautsprecher) & Quelle Gitarreneffektpedal (Stomp-Box) Musiksynthesizer Sound-/Funktionsgenerator Programmierbarer Crossover-Filter für Lautsprecher Erweiterter Audioeffektprozessor (Hall, Chorus, Pitch-Shifting usw.) Mit dem Internet verbundenes Audiogerät DSP-Experimentierplattform Drahtloses MIDI MIDI-zu-CV-Konverter und viele mehr... Technische Daten ADAU1701 28-/56-Bit, 50-MIPS digitaler Audioprozessor, der Abtastraten von bis zu 192 kHz unterstützt ESP32 32-Bit-Dual-Core-Mikrocontroller mit Wi-Fi 802.11b/g/n und Bluetooth 4.2 BR/EDR und BLE 2x 24-Bit-Audioeingänge (2 V RMS, 20 kΩ) 4x 24-Bit-Audioausgänge (0,9 V RMS, 600 Ω) 4x Steuerpotentiometer MIDI Ein- und Ausgang I²C-Erweiterungsport Multi-Mode-Betrieb Stromversorgung: 5 V DC USB oder 7,5-12 V DC (Hohlbuchse, mittlerer Pin ist GND) Stromverbrauch (Durchschnitt): 200 mA Lieferumfang 1x ESP32 Audio DSP FX Prozessor Board (montiert) 1x ESP32-PICO-KIT 2x Jumper 2x 18-Pin Header (female) 4x 10 KB Potentiometer Downloads Documentation GitHub

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Elektor GREEN en GOLD leden kunnen deze uitgave hier downloaden.Nog geen lid? Klik hier om een lidmaatschap af te sluiten. High-end uit het Elektor-lab Fortissimo-100 high-end versterkervolledig symmetrische audio-eindtrap levert 100/190 W Controleer de frequentie van afgestemde kringen en kristallen Printen ontwerpentips en trucs Solderen – nou en?moderne soldeertechnologie nader bekeken Bluetooth-garagedeurbediening met geringe latentiemet korte BLE-berichten vanaf een smartphone Ideale diode-controllerdiodeschakelingen met geringe vermogensdissipatie LED-slingers met ESP32 en FreeRTOSknipperen dat het een lieve lust is Alle begin......zenert er vrolijk op los FM/DAB+ ontvangerhet beste van twee werelden Uit het leven gegrepenelektronica obscura De oorzaak van software-bugs draadloos opsporencirculaire buffer en webserver op de ESP32 Heeft Covid de innovatie gestimuleerd?innovatieve componenten en oplossingen uit 2022 Ersa i-CON TRACEhet IoT-soldeerstation voor makers Elektor Infographics Wat moeten we met al die computers? Aansturing van het e-paper display van Ynvisible InnoFaith: innovatie en nog eens innovatievraaggesprek met Walter Arkesteijn Industriële automatiseringeenvoudige en schaalbare IoT-retrofitting Reed-relaisvreemde onderdelen Low-profile lineaire connectorenvereenvoudigen multisignaal-databeheer Slim – Innovatief – KosteneffectiefGateMate FPGA’s worden ontwikkeld en geproduceerd in Duitsland Tools voor de ontwikkeling van goedkope sensoren Polyfusesvreemde onderdelen Geïsoleerde analoge uitgang voor Arduino Uno Oost West Lab Best...ontdekt de Theremin electronica fast forward 2022 – powered by Elektorde deelnemers en het programma Radiorichtingzoekerspoor verloren weersensoren op Schat de interne ruis van een ICeen eenvoudige methode Ethiek in actiepowered by WEEF Zonder ethiek geen duurzaam ondernemenvraaggesprek met professor Stefan Heinemann De WEEF Index 2023 Filtersoftwareontwerp-tools voor analoge filters TV-B-Gone!...of tenminste TV tabee Meting van de luchtkwaliteitop basis van de RP2040 elekterminal Snelstart met Python 3voorbeeldhoofdstuk: digitale beeldbewerking en de Wand-bibliotheek SOLARPUNKeen mooiere toekomst in het verschiet Hexadoku

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An Introduction to Circuit Simulation LTspice, developed by Analog Devices, is a powerful, fast, and free SPICE simulator, schematic capture, and waveform viewer with a large database of components supported by SPICE models from all over the world. Drawing a schematic in LTspice is easy and fast. Thanks to its powerful graphing features, you can visualize the voltages and currents in a circuit, and also the power consumption of its components and much more. This book is about learning to design and simulate electronic circuits using LTspice. Among others, the following topics are treated: DC and AC circuits Signal diodes and Zener diodes Transistor circuits including oscillators Thyristor/SCR, diac, and triac circuits Operational amplifier circuits including oscillators The 555 timer IC Filters Voltage regulators Optocouplers Waveform generation Digital logic simulation including the 74HC family SPICE modeling LTspice is a powerful electronic circuit simulation tool with many features and possibilities. Covering them all in detail is not possible in a book of this size. Therefore, this book presents the most common topics like DC and AC circuit analysis, parameter sweeping, transfer functions, oscillators, graphing, etc. Although this book is an introduction to LTspice, it covers most topics of interest to people engaged in electronic circuit simulation. The book is aimed at electronic/electrical engineers, students, teachers, and hobbyists. Many tested simulation examples are given in the book. Readers do not need to have any computer programming skills, but it will help if they are familiar with basic electronic circuit design and operation principles. Readers who want to dive deeper can find many detailed tutorials, articles, videos, design files, and SPICE circuit models on the Internet. All the simulation examples used in the book are available as files at the webpage of this book. Readers can use these example circuits for learning or modify them for their own applications.

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Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sind Sie noch kein Mitglied? Hier klicken! Drehscheibentelefon als Fernbedienung Licht einschalten, wählen Sie die 1, Kaffeemaschine einschalten, wählen Sie die 2 GPS-gestützte Geschwindigkeitsüberwachung Nie mehr Rasen, nie mehr Knöllchen! RGB-Stroboskop mit Arduino Farbenfrohe Anwendung eines nützlichen Werkzeugs Drahtloser Notruf-Taster Erhöhte Sicherheit mit LoRa Aller Anfang... …muss nicht schwer sein: Folgen Sie dem Emitter! Beliebige und unabhängige Hysteresestufen für Komparatoren mit Simulationen, Tabellenkalkulationen und etwas Algebra ESP32-basierter Impedanz-Analysator Einfach, kompakte Bauteile und preiswert! Das besondere Projekt Ermutigung zum Heimwerken Mikrocontroller-Praxiskurs für Arduino-Einsteiger mit Trainingsboard All-in-One-Trainingshardware für den Mikrocontroller-Kurs Aus dem Leben gegriffen Moderner Luddismus Sensor 1x1: Temperatur-Sensor DS18B20 Anschluss am 1-Draht-Bus Rettet Matter das Smart Home? Neue Standards zur Vereinfachung der Hausautomatisierung Eine Frage der Zusammenarbeit Entwickeln mit dem Board Thing Plus Matter und dem Simplicity Studio Infografik: IoT und Sensoren Matter, ExpressLink, Rainmaker – Worum geht es eigentlich? Interview mit Amey Inamdar von Espressif Development-Kits für IoT- und IIoT-Anwendungen Über die Auswahl von Mikrocontroller-Entwicklungsboards Kondensatoren verhalten sich nicht immer kapazitiv Eine NTP-Uhr mit CircuitPython Warum Sie diese Programmiersprache verwenden sollten Bauen Sie ein cooles IoT-Display Mit dem Phambili Newt Der Doppler-Bewegungssensor HB100 Theorie und Praxis eines ungewöhnlichen Sensors Eine Anleitung zur Bare-Metal-Programmierung Teil 1: STM32 und andere Controller Siglent-Multimeter SDM3045X Mikroprozessoren für virtuelle Systeme Bemerkenswerte Bauteile Mikrocontroller-Dokumentation verstehen Teil 3: Blockdiagramme und mehr LoRa-Wetterstation mit niedriger Stromaufnahme Bauen Sie Ihre entfernte Wetterstation selbst! Transverter für das 70-cm-Band Klima ruft Ingenieure Bewegen Sie sich schnell und reparieren Sie die Dinge Hexadoku

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. What to expect This Elektor edition guest-edited by Edge Impulse explores the edge AI workflow, from data collection and model training to deployment and optimization: End-to-End Edge AIA hands-on object detection series that walks through the complete machine learning pipeline on embedded hardware. High-Resolution, High-Speed Object Counting (Nvidia Jetson Nano, TensorRT)Pushing inference speed and precision for visual counting applications. PCB Defect Detection with Computer Vision (Raspberry Pi)Smarter manufacturing through embedded vision. Smart Building Ventilation with Sensor FusionAI-powered environmental optimization for energy efficiency. Analog Meter Reading (Arduino Nicla Vision)A TinyML approach to automating analog infrastructure. Smart Appliance Control Using Voice Commands (Nordic Thingy:53)Speech recognition at the edge. Liquid Classification with TinyML (Seeed Wio Terminal + TDS Sensor)Combining IoT sensing and embedded ML for fluid analysis. Surgery Inventory Object DetectionApplying real-time vision to healthcare logistics. Plus, the magazine includes exclusive interviews with: Edge Impulse co-founders Zach Shelby and Jan Jongboom; Qualcomm Technologies VP of product management Manny Singh; and EDGE AI FOUNDATION CEO Pete Bernard. Also included are a Tech the Future essay titled "AI at the Edge: Powering the Next Generation of Devices," an Industry Case Study on GlobalSense, and more. Contents What the Heck Is Edge AI Anyway?Bringing Intelligence to the Device Meet Edge Impulse StudioEasily Build and Deploy Edge AI Models Keyword Spotting with Edge ImpulseCollect, Train, and Deploy Smart Appliance Control Using Voice Commands with the Nordic Thingy:53 Key Terms for Understanding Edge AI and Machine Learning Crash Course: Getting Started with Edge ImpulseLearn to Collect, Train, and Deploy an ML Model with the Arduino Nano 33 BLE Sense A New Chapter for ArduinoFrom Hobby Board to Edge Computing Powerhouse Getting Started with Object Detection on Edge Devices PCB Defect DetectionComputer Vision with Raspberry Pi Scaling AI to the Smallest Devices Optimizing Power Efficiency in Battery-Driven Edge AI Devices AI ToasterWhen Edge AI Meets Breakfast Thundercomm Rubik Pi 3Raspberry Pi Familiarity Meets Edge AI Leadership, Embedded ML, and the Edge Revolution Vision Language Models for the EdgeCascading Models for Better Reliability Get to Know Edge ImpulseQuestions from the Elektor Community Project Update #5: ESP32-Based Energy MeterUsing Edge AI to Recognize Household Loads Motion Recognition with Anomaly DetectionAn End-to-End Tutorial Smart Ventilation System: Fusing Sound and Environmental DataA Dual-MCU Machine Learning Approach for Automated Window and Louver Control Bringing Voice Control to Earbuds and Headsets AI at the Edge: Powering the Next Generation of Devices

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