Search results for "develop or and or operate or your or lorawan or iot or nodes"

Practical Guide to Modular RF Design Build Your Own Software-Defined Radio combines RF circuitry with hardware programming and PC-based signal processing. The e-book presents a modular approach to building a complete SDR system using RF Bricks – from the mechanical framework and RF modules to measurement tools, PC software, and FPGA implementations. Practical explanations guide readers through real signal paths, construction steps, and measurement routines, linking hardware and software into a flexible SDR platform. Key topics include: Mechanical setup: RF Brick template, chassis, and 19-inch module carrier Bridges: USB isolator, I²C level shifter, I²C power switch, and practical examples Signal-chain design with RF Bricks: antennas, band filters, NanoVNA work, preamplifiers, PLLs, demodulators, direct-conversion chains, multiband options, and narrowband bricks RF measurement Bricks: single- and dual-tone sources, NPR methods, noise generators, notch filters, broadband amplifiers, and impedance bridges Useful accessories: ATU-100 tuner, X-Phase QRM eliminator, and firmware notes PC host software: SoapyAudio adjustments, GQRX, SDR++, and added functionality GnuRadio elements: control blocks, SSB demodulation, GUI components, messaging, and filter handling FPGA-based SDR: VHDL, toolchains, ADC/DAC blocks, oversampling, and a complete SSB/CW signal chain With its modular structure and detailed working examples, this e-book offers a practical path to building and extending modern SDR systems. Downloads Software

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Construisez votre station météo idéale ou explorez les données environnementales avec le monde entier. Avec de nombreux projets pratiques pour Arduino, Raspberry Pi, NodeMCU, ESP32 et autres cartes de développement. Les stations météo jouissent d’une grande popularité depuis des décennies. Tous les magazines d’électronique, qu’ils soient récents ou non, ont publié et publient régulièrement des articles sur la construction d’une station météo. Au fil des années, elles sont devenues de plus en plus sophistiquées et peuvent aujourd’hui être entièrement intégrées dans la maison intelligente. Ceci implique toutefois souvent une fidélité à un fabricant de produits de marque (coûteux) pour tous les composants. Cependant, avec votre propre station météo, vous pouvez facilement suivre le rythme et même capturer des relevés que les appareils commerciaux ne peuvent pas réaliser. Le plaisir ne manque pas : vous développerez de manière ludique vos connaissances en électronique, en cartes de développement de microcontrôleurs modernes et en langages de programmation. Pour moins de dix euros, vous pouvez collecter des données environnementales initiales et étendre votre système au fur et à mesure que votre intérêt grandit. Dans ce numéro Sur la route du vent et de la météo Écran météo OpenWeatherMap à affichage fluorescent Les composés organiques volatils dans l‘air que nous respirons Travailler avec les capteurs MQ : mesurer le monoxyde de carbone Détecteur de CO2 avec connexion IdO vers ThingSpeak Un arrosage automatique pour vos plantes Un climat intérieur sain : la température et l‘humidité de l‘air sont importants Thermomètre avec tubes Nixie Une maison météo rétro pour toute la famille Mesurez la pression atmosphérique et la température avec précision Un détecteur de coups de soleil Capteur maison pour la durée d‘ensoleillement Le smartphone l‘indique : brouillard ou bonne visibilité ? Détecter les tremblements de terre Les niveaux des cours d‘eau et des réservoirs Évaluer la valeur du pH de l’eau Détecter les rayonnements radioactifs Avec le GPS, vous savez où se trouve votre capteur Enregistrer les fichiers journaux avec horodatage sur des cartes SD LoRaWAN, The Things Network et ThingSpeak Exploiter la passerelle LoRaWAN pour le TTN Affichage géant à led avec prévisions météo

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The XIAO ESP32-C3 board combines the ultra-compact form factor of the XIAO series with the full capabilities of the ESP32-C3 chip, including integrated Wi-Fi and Bluetooth 5.0. This book is a comprehensive, hands-on guide to getting the most out of this powerful yet affordable development board. The author takes readers from the fundamentals to advanced projects. Starting with LED blinking and dimming, the book progresses to ADC and PWM for precise sensor interfacing and PWM-controlled lighting effects before moving on to building practical, real-world applications, including: A Wi-Fi weather station with an OLED display and real-time online weather data An ultrasonic parking assistant with audible feedback A refrigerator monitoring probe with climate sensing and Deep Sleep for years of battery operation A retro Pong game controlled by a touch-free sensor A microphone-based party app that responds to claps And much more: lighting control, reaction-time measurement, mains frequency analysis, soil moisture sensing, ambient LED lighting, and 7-segment displays

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Praktischer Einstieg mit Arduino, GnuRadio und FPGA Das Thema „Software Defined Radio“ ist facettenreich: Neben der Schaltungstechnik ist auch eine Einarbeitung in die Programmierung von Hardware und PC wichtig. Ein schrittweises Vorgehen erleichtert Ihnen den Einstieg. Mit dem im Buch vorgestellten modularen „RF Bricks“-Konzept werden Sie zum Architekten Ihrer Signalkette. Auf einem Chassis angeordnet gewährleisten die Module einen soliden und gut abgeschirmten Aufbau, den Sie einfach verändern und mit eigenen Ideen anreichern können. Der skalierbare Aufbau bildet Ihr Blockschaltbild auch mechanisch ab – die so gewonnene Übersicht kann in der Aus- und Weiterbildung nützlich sein. Ein Arduino in Ihrem Chassis kommuniziert nach einigen Anpassungen mit üblichen SDR-Programmen, z. B. SDRCPP, GQRX und CubicSDR auf einer Linux-Plattform. Damit können Sie Ihren Empfänger direkt per Mausklick abstimmen. Wenn Sie Blockschaltbilder mögen, ist GnuRadio ein natürlicher Partner der „RF Bricks“. Mit einem selbst programmierten Python-Block gelingt Ihnen in GnuRadio die Fernsteuerung Ihres Empfängers. Im GnuRadio-Universum können Sie Ihre GUI stufenweise ausbauen, behalten dabei aber immer volle Kontrolle über die inneren Abläufe des Programms. Mit einem FPGA können zeitaufwändige Operationen auch direkt in die Hardware verlagert werden. Sie bauen stufenweise einen Doppelsuperhet auf und entwickeln die Filterkoeffizienten für FIR-Filter mit Scilab. Das in VHDL realisierte Weaver-Schema rundet diesen Empfänger ab, der mit hoher Empfindlichkeit und Dynamik aufwarten kann. Mit dem gewonnen Überblick und Ihrer neuen Hardware können Sie die einzelnen Aspekte des Themenkomplexes SDR beliebig weiter vertiefen. Downloads Software

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Realize your own projects with the Elektor Arduino Nano MCCAB Training Board The microcontroller is probably the most fascinating subfield of electronics. Due to the multitude of functions, it combines on its chip, it is a universal multi-tool for developers to realize their projects. Practically every device of daily use today is controlled by a microcontroller. However, for an electronic layman, realizing his own ideas with a microcontroller has so far remained a pipe dream due to its complexity. The Arduino concept has largely simplified the use of microcontrollers, so that now even laymen can realize their own electronics ideas with a microcontroller. Book & Hardware in the Bundle: 'Learning by Doing' This book, which is included in the bundle, shows how you can realize your own projects with a microcontroller even without much experience in electronics and programming languages. It is a microcontrollers hands-on course for starters, because after an overview of the internals of the microcontroller and an introduction to the programming language C, the focus of the course is on the practical exercises. The reader acquires the necessary knowledge by 'learning by doing': in the extensive practical section with 12 projects and 46 exercises, what is learned in the front part of the book is underpinned with many examples. The exercises are structured in such a way that the user is given a task to solve using the knowledge built up in the theoretical part of the book. Each exercise is followed by a sample solution that is explained and commented on in detail, which helps the user to solve problems and compare it with his own solution. Arduino IDE The Arduino IDE is a software development environment that can be downloaded for free to your own PC and that contains the entire software package needed for your own microcontroller projects. You write your programs ('apps') with the IDE’s editor in the C programming language. You translate them into the bits and bytes that the microcontroller understands using the Arduino IDE's built-in compiler, and then load them into the microcontroller's memory on the Elektor Arduino MCCAB Nano Training Board via a USB cable. Query or control external sensors, motors or assemblies In addition to an Arduino Nano microcontroller module, the Elektor Arduino Nano MCCAB Training Board contains all the components required for the exercises, such as light-emitting diodes, switches, pushbuttons, acoustic signal transmitters, etc. External sensors, motors or assemblies can also be queried or controlled with this microcontroller training system. Specifications (Arduino Nano MCCAB Training Board) Power Supply Via the USB connection of the connected PC or an external power supply unit (not included) Operating Voltage +5 Vcc Input Voltage All inputs 0 V to +5 V VX1 and VX2 +8 V to +12 V (only when using an external power supply) Hardware periphery LCD 2x16 characters Potentiometer P1 & P2 JP3: selection of operating voltage of P1 & P2 Distributor SV4: Distributor for the operating voltagesSV5, SV6: Distributor for the inputs/outputs of the microcontroller Switches and buttons RESET button on the Arduino Nano module 6x pushbutton switches K1 ... K6 6x slide switches S1 ... S6 JP2: Connection of the switches with the inputs of the microcontroller Buzzer Piezo buzzer Buzzer1 with jumper on JP6 Indicator lights 11 x LED: Status indicator for the inputs/outputs LED L on the Arduino Nano module, connected to GPIO D13 JP6: Connection of LEDs LD10 ... LD20 with GPIOs D2 ... D12 Serial interfacesSPI & I²C JP4: Selection of the signal at pin X of the SPI connector SV12 SV9 to SV12: SPI interface (3.3 V/5 V) or I²C interface Switching output for external devices SV1, SV7: Switching output (maximum +24 V/160 mA, externally supplied) SV2: 2x13 pins for connection of external modules 3x3 LED matrix(9 red LEDs) SV3: Columns of the 3x3 LED matrix (outputs D6 ... D8) JP1: Connection of the rows with the GPIOs D3 ... D5 Software Library MCCABLib Control of hardware components (switches, buttons, LEDs, 3x3 LED matrix, buzzer) on the MCCAB Training Board Operating Temperature Up to +40 °C Dimensions 100 x 100 x 20 mm Specifications (Arduino Nano) Microcontroller ATmega328P Architecture AVR Operating Voltage 5 V Flash Memory 32 KB, of which 2 KB used by bootloader SRAM 2 KB Clock Speed 16 MHz Analog IN Pins 8 EEPROM 1 KB DC Current per I/O Pins 40 mA on one I/O pin, total maximum 200 mA on all pins together Input Voltage 7-12 V Digital I/O Pins 22 (6 of which are PWM) PWM Output 6 Power Consumption 19 mA Dimensions 18 x 45 mm Weight 7 g Included Elektor Arduino Nano MCCAB Training Board Arduino Nano Book: Microcontrollers Hands-on Course for Arduino Starters

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. electronica fast forward 2022 Start- & Scale-Up AwardsPreparations Speeding Up! Bluetooth Low Energy with ESP32-C3 and ESP32You Don’t Always Need to Choose Wi-Fi! Bluetooth Low Energy SnifferHacking a makerdiary nRF52840 MDK USB Dongle Magic RGB LED CubeHardware Design Around an RP2040 Auto On/Off for Solder Paste Compressor Elektor Video ContentLivestreams, Webinars, and Courses for Engineers and Pro Makers Bicycle ElectrificationHands-On with an E-Bike Retrofit Kit Starting Out in ElectronicsMultiplying Voltages From Life’s ExperienceSidelines Teensy 4.0Why Is This Board So Fast? Audio Power Amplifier Simulation with TINAThe Try-Before-You-Build Approach Develop and Operate Your LoRaWAN IoT NodesSample Chapter: Dragino LHT65, LDS01, and LDS02 LoRaWAN Modules Err-lectronicsCorrections, Updates and Readers’ Letters 5G Just for MeGaining Complete Control of 5G Deployments with Private Cellular Networks Infographics 7-8/2022 How Does My Device Learn to Transmit?Applications with Wi-Fi Interfaces Smartphones are the Heart of the IoT Audio Spectrum Analyzer with DekatronsA New Way to Use Vintage Tubes Sending Data to TelegramGet It Done with an ESP32 and a Few Parts A Fliege Notch Filter for Audio MeasurementsMake Better Measurements with a Notch Filter CO2 Meter TeardownIs It Hackable for Your Projects? PUT-ting It All TogetherThe Programmable Unijunction Transistor Explained Round Touchscreen for Raspberry PiHyperPixel 2.1 Round from Pimoroni Remote Sensing with Connection Loss DetectionUsing nRF24L01+ Modules Digital FM Receiver with Arduino and TEA5767Stayed Tuned with an Arduino Nano Changing an OLED Interface from SPI to I²C HomeLab ToursA Hobby Does Not Retire A Decade of Ethics in ElectronicsTessel Renzenbrink Reflects on the Digital Society and More HexadokuThe Original Elektorized Sudoku

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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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Theory, LTspice Simulation, and Hands-On Projects MOSFETs are essential components in modern electronics, used in switching, amplification, motor control, power conversion, digital logic, and audio circuits. This book offers a practical introduction to MOSFET technology, combining clear explanations with LTspice simulations and hands-on projects. Starting with semiconductor fundamentals, you will learn how MOSFETs operate, how they compare with BJTs, and how to apply them in real circuits. The book then progresses from basic switching applications to more advanced designs. You will learn how to: Understand N-channel and P-channel MOSFET operation Work with cutoff, triode, and saturation regions Simulate and analyze circuits using LTspice Build switching circuits for LEDs, relays, buzzers, sensors, and motors Create sensor circuits for light, temperature, touch, tilt, reed switches, and PIR motion detection Control motors and fans using PWM and H-bridge circuits Design MOSFET small-signal amplifiers Build astable, Colpitts, Hartley, phase-shift, and Pierce oscillators Experiment with MOSFET digital logic Explore buck and boost DC-DC converters Understand the basics of MOSFET audio power amplifiers Written for engineers, students, and experienced makers, this book connects theory with simulation and practical construction, giving you the knowledge and experience to design and experiment with MOSFET circuits with confidence.

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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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Arduino-compatible, ESP32-controlled, 2-wheeled Balancing Robot The Elektor Mini-Wheelie is an experimental autonomous self-balancing robot platform. Based on an ESP32-S3 microcontroller, the self-balancing robot is fully programmable using the Arduino environment and open-source libraries. Its wireless capabilities allow it to be controlled remotely over Wi-Fi, Bluetooth or ESP-NOW or to communicate with a user or even another robot. An ultrasonic transducer is available for detecting obstacles. Its color display can be used for displaying cute facial expressions or, for the more down-to-earth users, cryptic debug messages. The robot comes as a neat kit of parts that you must assemble yourself. Everything is included, even a screwdriver. Note: The Mini-Wheelie is an educational development platform intended for learning, experimentation, and robotics development. It is not classified as a toy for children, and its features, documentation, and intended audience reflect this purpose. The product is aimed at students, educators, and developers who wish to explore robotics, programming, and hardware integration in an educational setting. Specifications ESP32-S3 microcontroller with Wi-Fi and Bluetooth MPU6050 6-axis Inertial Measurement Unit (IMU) Two independently controlled 12 V electric motors with tachometer Ultrasonic transducer 2.9" TFT color display (320 x 240) MicroSD card slot Battery power monitor 3S rechargeable Li-Po battery (11.1 V/2200 mAh) Battery charger included Arduino-based open-source software Dimensions (W x L x H): 23 x 8 x 13 cm Included 1x ESP32-S3 Mainboard + MPU6050 module 1x LCD board (2.9 inch) 1x Ultrasonic sensor 1x Battery pack (2200 mAh) 1x Battery charger 1x Motor tyre kit 1x Case board 1x Acrylic board 1x Screwdriver 1x Protective strip 1x Flex cable B (8 cm) 1x Flex cable A (12 cm) 1x Flex cable C 4x Copper column A (25 mm) 4x Copper column B (55 mm) 4x Copper column C (5 mm) 2x Plastic nylon column 8x Screws A (10 mm) 24x Screws B (M3x5) 8x Nuts 24x Metal washers 2x Zip tie 1x MicroSD card (32 GB) Downloads Documentation

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Design IoT Projects with Raspberry Pi, Arduino and ESP32 The Internet of Things (IoT) is becoming a major application area for embedded systems. As a result, more and more people are becoming interested in learning about embedded design and programming. Technical colleges and universities are moving away from legacy 8 and 16-bit microcontrollers and are introducing 32-bit embedded microcontrollers to their curriculums. Many IoT applications demand precision, high processing power, and low power consumption. Produced by IBM, Node-RED is an open-source visual editor for wiring the Internet of Things. Node-RED comes with a large number of nodes to handle a multitude of tasks. The required nodes are selected and joined together to perform a particular task. Node-RED is based on flow type programming where nodes are configured and joined together to form an application program. There are nodes for performing complex tasks, including web access, Twitter, E-mail, HTTP, Bluetooth, MQTT, controlling GPIO ports, etc. One particularly nice aspect of Node-RED is that the programmer does not need to learn how to write complex programs. For example, an email can be sent by simply joining nodes together and writing only a few lines of code. The aim of this book is to teach how Node-RED can be used in projects. The main hardware platform used with most of the projects in this book is Raspberry Pi 4. Chapters are included to show how Node-RED can be also be used with Arduino Uno, ESP32 DevKitC, and the ESP8266 NodeMCU microcontroller development boards.

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Book: Mastering the Arduino Uno R4 Based on the low-cost 8-bit ATmega328P processor, the Arduino Uno R3 board is likely to score as the most popular Arduino family member, and this workhorse has been with us for many years. Eleven years later, the long-overdue successor, the Arduino Uno R4, was released. It is built around a 48 MHz, 32-bit Arm Cortex-M4 microcontroller and provides significantly expanded SRAM and Flash memory. Additionally, a higher-precision ADC and a new DAC are added to the design. The Uno R4 board also supports the CAN Bus with an interface. Two versions of the board are available: Uno R4 Minima, and Uno R4 WiFi. This book is about using these new boards to develop many different and interesting projects with just a handful of parts and external modules. All projects described in the book have been fully tested on the Uno R4 Minima or the Uno R4 WiFi board, as appropriate. The project topics include the reading, control, and driving of many components and modules in the kit as well as on the relevant Uno R4 board, including LEDs 7-segment displays (using timer interrupts) LCDs Sensors RFID Reader 4x4 Keypad Real-time clock (RTC) Joystick 8×8 LED matrix Motors DAC (Digital-to-analog converter) LED matrix WiFi connectivity Serial UART CAN bus Infrared controller and receiver Simulators … all in creative and educational ways with the project operation and associated software explained in great detail. Arduino Uno R4 WiFi The Arduino Uno R4 is powered by the Renesas RA4M1 32-bit ARM Cortex-M4 processor, providing a significant boost in processing power, memory, and functionality. The WiFi version comes with an ESP32-S3 WiFi module in addition to the RA4M1, expanding creative opportunities for makers and engineers. The Arduino Uno R4 runs at 48 MHz, which provides a 3x increase over the popular Uno R3. Additionally, SRAM has been upgraded from 2 kB to 32 kB, and flash memory from 32 kB to 256 kB to support more complex projects. Responding to community feedback, the USB port is now USB-C, and the maximum power supply voltage has been raised to 24 V with an enhanced thermal design. The board includes a CAN bus and an SPI port, enabling users to reduce wiring and perform parallel tasks by connecting multiple shields. A 12-bit analog DAC is also provided on the board. Specifications Microcontroller Renesas RA4M1 (ARM Cortex-M4) USB USB-C Programming Port Pins Digital I/O Pins 14 Pins Analog input pins 6 DAC 1 RTC 1 PWM pins 6 Communication UART 1x I²C 1x SPI 1x Qwiic I²C connector 1x CAN 1x CAN Bus Power Circuit operating voltage 5 V Input voltage (VIN) 6-24 V DC Current per I/O Pin 8 mA Clock speed Main core 48 MHz Memory RA4M1 256 kB Flash, 32 kB RAM LED Matrix 12 x 8 (96 red LEDs) Dimensions 68.9 x 53.4 mm Downloads Datasheet Schematics This bundle contains: Book: Mastering the Arduino Uno R4 (normal price: €45) Arduino Uno R4 WiFi (normal price: €30)

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