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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.

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Raspberry Pi goes Industry (E-book)

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The QAV250 Kit is the perfect way to get started developing on either PX4 or Ardupilot. It pairs a carbon fiber 250 racing frame and essential electronics with Pixhawk 6C mini autopilot. The kit is easy to assemble. No soldering needed. Specifications Micro Power Module (PM06 v2) Motors: 2207 KV1950 Wheelbase: 250 mm Dimensions: 198 x 235 x 70 mm Weight: 347 g Included Carbon fiber 250 airframe with hardware Micro Power Module (PM06 v2) Motors: 2207 KV1950 5' Plastic Props Fully assembled Power Management Board with ESCs (BLHeli S ESC 20A) Battery Straps Note: LiPo battery is not included.

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Most people are increasingly confronted with the applications of Artificial Intelligence (AI). Music or video ratings, navigation systems, shopping advice, etc. are based on methods that can be attributed to this field. The term Artificial Intelligence was coined in 1956 at an international conference known as the Dartmouth Summer Research Project. One basic approach was to model the functioning of the human brain and to construct advanced computer systems based on this. Soon it should be clear how the human mind works. Transferring it to a machine was considered only a small step. This notion proved to be a bit too optimistic. Nevertheless, the progress of modern AI, or rather its subspecialty called Machine Learning (ML), can no longer be denied. In this book, several different systems will be used to get to know the methods of machine learning in more detail. In addition to the PC, both the Raspberry Pi and the Maixduino will demonstrate their capabilities in the individual projects. In addition to applications such as object and facial recognition, practical systems such as bottle detectors, person counters, or a “talking eye” will also be created. The latter is capable of acoustically describing objects or faces that are detected automatically. For example, if a vehicle is in the field of view of the connected camera, the information 'I see a car!' is output via electronically generated speech. Such devices are highly interesting examples of how, for example, blind or severely visually impaired people can also benefit from AI systems.

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The Elektor Arduino Nano MCCAB Training Board contains all the components (incl. Arduino Nano) required for the exercises in the "Microcontrollers Hands-on Course for Arduino Starters", 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 1x Elektor Arduino Nano Training Board MCCAB 1x Arduino Nano

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From Simple Ciphers to Secure Systems Understanding how to apply cryptography on modern microcontrollers is essential for building secure, reliable, and trustworthy systems. This book explains cryptography in the context of embedded hardware, from classical ciphers that illustrate core principles to modern techniques such as AES for practical high-security applications. By combining mathematical theory with real-world microcontroller implementations, readers learn not only how cryptography works, but also how to implement it effectively on systems with limited processing power and memory. The book is intended for students starting out in cryptography, hobbyists securing personal projects, and engineers looking for a structured guide to embedded security. The book covers these key topics in applied cryptography: Classical ciphers on Arduino Uno and Raspberry Pi Pico, with full programs: Spartan Scytale, Hebrew Atbash, Caesar, ROT13, Alberti Disk, Vigenère, Affine, Polybius, Playfair, Beaufort, Ottoman Codebook, and One-Time Pad. Hacking classical ciphers using microcontrollers, with examples. Pseudo-random (PRNG) and true random number generation (TRNG) on microcontrollers. Symmetric-key cryptography with full programs: DES and AES-128/256. Memory and speed constraints of cryptography on microcontrollers. Asymmetric cryptography: public/private keys, digital signatures, key distribution and derivation (KDF), RSA, and SHA-256 implementations. A complete secure communication program using RSA and AES-256. A glossary of commonly used cryptography terms.

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Dieses Buch beschäftigt sich mit DC-Elektromotoren und deren Einsatz in Arduino und Raspberry Pi Zero W-Projekten. Das Buch enthält zahlreiche Motorsteuerungsprojekte, wobei jedes Projekt denselben Aufbau besitzt: Projekttitel Beschreibung des Projekts Blockschaltbild Schaltplan Zusammenbau Vollständiges Programmlisting Umfassende Erläuterung des Programms Die Projekte im Buch umfassen die Standard-DC-Motoren, Schrittmotoren, Servomotoren und mobile Roboter. Das Buch richtet sich an Elektronik-Bastler, die Projekte mit dem Arduino Uno oder dem Raspberry Pi Zero W entwickeln und dabei Motoren einsetzen möchten. Ein besonders reizvolles Projekt dieses Buches ist die Fernsteuerung eines mobilen Roboters von einem Mobiltelefon aus mit dem Arduino Uno sowie dem Raspberry Pi Zero W. Dieses Projekt wird sowohl über Wi-Fi als auch über Bluetooth mit dem Handy gesteuert. Die Leser sollten in der Lage sein, einen Roboter vorwärts, rückwärts, links oder rechts zu bewegen, indem sie einfache Befehle vom Mobiltelefon aus senden. Die vollständigen Programmlistings aller Projekte sowie die detaillierten Programmbeschreibungen finden Sie im Buch. Der Leser kann die Projekte Schritt für Schritt nachbauen oder sie an die eigenen Bedürfnisse anpassen.

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USB to S/PDIF InterfaceDigital audio output for computer, laptop, tablet or smartphone Practical ESP32 Multitasking (4)Binary semaphores A Wireless Temperature Sensor for the Nixie Bargraph ThermometerA multipurpose solution with a design trick Multitasking with Raspberry PiShowcase: a traffic lights controller Timer for Headphone Amplifier Open-Network Weather Station Mk.2Part 2: Software Home Automation Made EasyWith ESPHome, Home Assistant & MySensors The Storage CRTPeculiar Parts, the series Artificial Intelligence for Beginners (3)A stand-alone neural network Programming PICs from the Ground UpAssembler routine to output a sine wave IKEA Lamp HackEquipping an inexpensive IKEA lamp with NeoPixel LEDs and WLAN Don't Let Your Hobby Project Collect Dust in a CornerSupply-side time management and spiral development Starting Out in Electronics (4)Easier than imagined! Homelab Tours: The Vinyl CutterReturning to the golden age of LPs The 8-Bit Microcontroller and BeyondInterview with Tam Hanna Small Circuits RevivalFrom the Elektor suggestions box Review: Owon OW18E Bluetooth Multimeter InteractiveCorrections & Updates || Questions & Answers Steeped in ElectronicsLead-free soldering and EU regulatory zeal Promising Project: New 50 Hz – 2 MHz LCR meterAccuracy and ease of use Error AnalysisTips on FMEA, High Current, and More Developer's ZoneTips & Tricks, Best Practices and Other Useful Information Review: Siglent SDL1020X Programmable DC Electronic Load High-Voltage Power Supply with Curve TracerGenerate voltages up to 400 V and trace characteristics curves for valves and transistors Hexadoku 2009EL Analogue Electronics DesignCase Study #2 — Part 1: Analogue filter theory The Elektor StoreNever expensive, always surprising How to Draw a Circuit Diagram

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The FNIRDSI DSO-TC4 is a multifunctional transistor oscilloscope that is both comprehensive and practical. It is designed for use in maintenance and R&D applications, integrating an oscilloscope, transistor tester, and signal generator into a single device. Features Equipped with a 2.8-inch TFT color screen for a clear and intuitive display Built-in high-capacity rechargeable lithium battery (1500 mAh) with a standby time of up to 4 hours Compact and lightweight, ideal for mobile use Specifications Oscilloscope Analog Bandwidth 10 MHz Real-Time Sampling Rate 48 MSa/s Input Impedance 1 MΩ Coupling Mode AC/DC Test Voltage Range 1:1 Probe: 80 Vpp (+40 V) 10:1 Probe: 800 Vpp (+400 V) Vertical Sensitivity 10 mV/div~10 V/div (X1 range) Vertical Displacement Adjustable with indication Time Base Range 50ns~20s Trigger Mode Auto/Normal/Single Trigger Type Rising edge, Falling edge Trigger Level Adjustable with indication Waveform Freeze Yes (HOLD function) Automatic Measurement Max, Min, Avg, RMS, Vpp, Frequency, Cycle, Duty Cycle Component Tester Transistor Amplification factor "hfe"; Base-Emitter voltage "Ube", Ic/Ie, Collector-Emitter reverse leakage current "Iceo", Ices, Forward voltage drop of protection diode "Uf" Diode Forward voltage drop <5 V (Forward voltage drop, Junction capacitance, Reverse leakage current) Zener Diode 0.01~32 V Reverse Breakdown Voltage (K-A-A Test Area) Field-Effect Transistor (FET) JFET: Gate capacitance "Cg", Drain current Id under "Vgs", Forward voltage drop of protection diode "Uf" IGBT: Drain current Id under Vgs, Forward voltage drop of protection diode Uf MIOSTET: Threshold voltage "Vt", Gate capacitance "Cg", Drain-Source resistance "Rds", Forward voltage drop of protection diode "Uf" Unidirectional SCR Trigger voltage <5V, Gate level (Gate voltage) Bidirectional SCR Trigger current <6mA (Gate voltage) Capacitor 25pF~100mF, Capacitance value, Loss factor "Vloss" Resistor 0.01Ω~50MΩ Inductor 10μH~1000μH, DC resistance DS18B20 Temperature sensor, Pins: GND, DQ, VDD DHT11 Temperature and humidity sensor, Pins: VDD, DATA, GND Signal Generator Output Waveform Supports 13 waveform outputs Waveform Frequency 0-50 KHz Square Wave Duty Cycle 0-100% Waveform Amplitude 0.1-3.0 V General Display 2.8-inch TFT color screen Backlight Brightness adjustable Power Supply USB-C (5 V/1 A） Battery 3.7 V/1500 mAh Languages English, German, Spanish, Portuguese, Russian, Chinese, Japanese, Korean Dimensions 90 x 142 x 27.5 mm Weight 186 g Included 1x FNIRSI DSO-TC4 (3-in-1) Oscilloscope (10 MHz) 1x P6100 Oscilloscope probes (10X) 1x Alligator clip probe 3x Test hooks 1x Adapter 1x USB-C charging cable 1x Manual Downloads Manual Firmware V0.0.7 (+V1.0.9)

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35 projecten met Raspberry Pi en wireless Arduino Internet of Things (alles aan het internet) is een trend die zich niet meer laat keren. We willen alles in huis met onze mobiel of tablet doen, van Facebook tot TV kijken, van lichten bedienen tot de temperatuur in de gaten houden. In dit boek laten we in 35 leuke en handige projecten zien hoe u op eenvoudige wijze zelf een Internet of Things systeem kunt aanleggen. We gaan in op de hardware (de perfecte combinatie van Raspberry Pi en Arduino) en de software om bediening via internet mogelijk te maken. We maken gebruik van Wi-Fi en radioverbindingen zodat er geen kabels dwars door uw huis hoeven. Wanneer u deze projecten maakt heeft u een compleet Internet of Things systeem waarmee u van alles in uw huis kunt bedienen en bekijken. Bijvoorbeeld of er post in de brievenbus ligt en of de auto in de garage staat. U kunt op vanaf de bank het licht aandoen en het alarm bedienen. Door de heldere uitleg kunt u de projecten eenvoudig aanpassen om bijvoorbeeld uw koffiezetautomaat of tv op afstand aan te zetten. Via de index vindt u gemakkelijk creatieve projecten die als voorbeeld kunnen dienen, zodat u zelfstandig alles met het internet kunt verbinden.

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DEAL: Order the HackRF Pro now and get the e-book "SDR with HackRF One & HackRF Pro" worth €20 for FREE! HackRF Pro is latest Software Defined Radio (SDR) from Great Scott Gadgets and the powerful successor to the legendary HackRF One. With a frequency range from 100 kHz to 6 GHz, it covers an enormous spectrum for transmitting and receiving radio signals. Designed as an open-source hardware platform, the HackRF Pro is the ideal tool for analyzing and developing modern wireless technologies. It can be used flexibly as a USB peripheral or programmed for standalone operation. Specifications Frequency: 100 kHz to 6 GHz Adjustable from 0 Hz to 7.1 GHz Half-duplex transceiver Up to 20 million samples per second 8-bit quadrature samples (8-bit I and 8-bit Q) Compatible with GNU Radio, SDR#, and more Software-configurable RX and TX gain and baseband filter Software-controlled RF port power (50 mA at 3.3 V) SMA RF connector SMA clock input and output for synchronization and triggering Convenient buttons for programming Internal pin headers for expansion High-Speed USB 2.0 with USB-C connector USB-powered Open source hardware Compared to its predecessor, HackRF Pro offers a variety of new features, including: Wider operating frequency range Improved RF performance with flatter frequency response USB-C connector Built-in TCXO crystal oscillator for superior timing stability Logic upgrade from a CPLD to a power-efficient FPGA Elimination of the DC spike Extended-precision mode with 16-bit samples for low sample rates (typical ENOB: 9-11) Half-precision mode with 4-bit samples at up to 40 Msps More RAM and flash memory for custom firmware Installed shielding around the radio section Trigger input and output accessible through clock connectors Cutout in the PCB provides space for future add-ons Improved power management Enhanced RF port protection Facility to hardware-disable transmit mode Full Compatibility: Thanks to its proven architecture, existing software for the HackRF One can also be used directly with the HackRF Pro. The HackRF Pro offers seamless backward compatibility while significantly increasing performance. Note: An antenna is not included. We recommend the ANT500 for the best experience. Included HackRF Pro SDR with plastic enclosure E-book: SDR with HackRF One & HackRF Pro (normal price: €20) Downloads Documentation GitHub

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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.

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