Search results for "elektor or 11 or 12 or 2020 or de"

Der Arduino Uno ist ein Open-Source-Mikrocontroller-Entwicklungssystem, das Hardware, eine integrierte Entwicklungsumgebung (IDE) und eine Vielzahl von Bibliotheken umfasst. Es wird von einer riesigen Gemeinschaft von Programmierern, Elektronikern, Enthusiasten und Akademikern unterstützt. Insbesondere die Bibliotheken erleichtern die Programmierarbeit und reduzieren die Entwicklungszeiten, da sie das Erstellen von Programmen erheblich erleichtern. Der Raspberry Pi 4 kann in vielen Projekten wie Audio- und Videoanwendungen, aber auch in Industriesteuerungen, Robotik, Spielen usw. eingesetzt werden. Dazu bietet er auch WiFi- und Bluetooth-Fähigkeiten, wodurch er sich zudem hervorragend für internetbasierte Steuerungs- und Überwachungsanwendungen eignet. In diesem Buch werden sowohl der Raspberry Pi 4 als auch der Arduino Uno in PID-basierten automatischen Steuerungsanwendungen eingesetzt. Nach einer grundlegenden Theorie der Regelsysteme werden funktionierende und getestete Projekte zur Steuerung realer Systeme mit PID-Reglern vorgestellt. Die Open-Loop-Eigenschaften, die Abstimmung der PID-Parameter und das Closed-Loop-Zeitverhalten der Systeme werden zusammen mit Blockdiagrammen, Schaltplänen und PID-Regelalgorithmen ausführlich diskutiert. Vollständige Programme für den Raspberry Pi und den Arduino Uno runden die im Buch vorgestellten Projekte ab. Die Regelsysteme können problemlos auch auf andere Projekte angewendet werden und die für den Raspberry Pi 4 angegebenen Programme sollten auch mit anderen Modellen der Raspberry Pi-Familie reibungslos funktionieren. Das Buch behandelt folgende Themen: Steuer- und Regelsysteme Analoge und digitale Sensoren Übertragungsfunktionen und zeitkontinuierliche Systeme Systemantwortfunktionen erster und zweiter Ordnung Zeitdiskrete digitale Systeme Zeitkontinuierliche PID-Regler Zeitdiskrete PID-Regler Zweipunkt-Temperaturregelung mit Raspberry Pi und Arduino Uno PID-basierte Temperaturregelung mit Raspberry Pi und Arduino Uno Motorsteuerung mit Raspberry Pi und Arduino Uno Wasserstandsregelung mit Raspberry Pi und Arduino Uno PID-basierte LED-Helligkeitsregelung mit Raspberry Pi und Arduino Uno

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Siglent's SDG2000X is a series of dual-channel function/arbitrary waveform generators with specifications of up to 120 MHz maximum bandwidth, 1.2 GSa/s sampling rate and 16-bit vertical resolution. The proprietary TrueArb & EasyPulse techniques help to solve the weaknesses inherent in traditional DDS generators when generating arbitrary, square and pulse waveforms. With advantages above, SDG2000X can provide users with a variety of high fidelity and low jitter signals, which can meet the growing requirements of complex and extensive applications. Features Dual-channel, 40 MHz bandwidth, 20Vpp maximum output amplitude, high fidelity output with 80dB dynamic range. High-performance sampling system with 1.2GSa/s sampling rate and 16-bit vertical resolution. No detail in your waveforms will be lost. Innovative TrueArb technology, based on a point-by-point architecture, supports any 8pts~8Mpts Arb waveform with a sampling rate in range of 1μSa/s~75MSa/s. Innovative EasyPulse technology, capable of generating lower jitter Square or Pulse waveforms, brings a wide range and extremely high precision in pulse width and rise/fall times adjustment. Plenty of analog and digital modulation types: AM, DSB-AM, FM, PM, FSK, ASK and PWM. Sweep and Burst functions. High precision Frequency Counter. Standard interfaces: USB Host, USB DeviceUSBTMC, LAN (VXI-11) Optional interface: GPIB. 4.3” touch screen display for easier operation. Specifications Maximum output frequency 40 MHz Output channels 2 Sampling rate 1.2 GSa/s (4X Interpolation) Wave length CH1: 16 Kpts, CH2: 512 Kpts Frequency resolution 1 μHz Vertical resolution 16 bit Standard interfaces Standard interfaces: USB Host, USB Device (USBTMC), LAN (VXI-11) High-performance Sampling System Benefiting from a 1.2GSa/s and 16-bit sampling system, SDG2000X achieves extremely high accuracy performance in both time domain and amplitude, which results in more accurately reconstructed waveforms and lower distortion. Innovative EasyPulse Technology When a Square/Pulse waveform is generated by DDS, there will be a one-clock-jitter if the sampling rate is not an integer-related multiple of the output frequency. SDG2000X EasyPulse technology successfully overcomes this weakness in DDS designs and helps to produce low jitter Square/Pulse waveforms. Innovative TrueArb Technology For arbitrary waveforms, TrueArb not only has all the advantages of traditional DDS, but also eliminates the probability that DDS may cause serious jitter and distortion. Easy controll with 4.3” Touch Screen Display and Arbitrary Waveform Software EasyWave The 4.3” touch screen display, makes operation much more convenient. And EasyWave is a powerful arbitrary waveform editing software that supports several ways to generate arbitrary waveform such as manual drawing, line-drawing, equation-drawing, coordinate-drawing, etc. It is quite convenient for users to edit their own arbitrary waveforms through EasyWave. Included Siglent SDG2042X Arbitrary Function Generator User Manual Guarantee Card CD (including EasyWave 1.0 computer software system) Power Cord USB Cable Quick Start Guide

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En moins de 100 lignes de code par projet avec les cartes Feather Sense et Clue Express d'Adafruit Le langage de programmation Python est apprécié par les pédagogues parce que sa syntaxe le rend facile à comprendre. Il s'est également imposé chez les informaticiens expérimentés. La société Adafruit a développé une version spéciale de Python pour l'embarquer sur les microcontrôleurs à 32 bits : CircuitPython. Ce livre permettra au lecteur de s'initier à la programmation en CircuitPython sur deux cartes : Feather BlueFruit Sense (également appelée Feather nRF52840 Sense) et CLUE nRF52840 Express. Chacune est animée par le SoC nRF52840 de NORDIC avec une architecture à 32 bits. Pour ce voyage dans le monde de la programmation embarquée, l'auteur sort du chemin classique, à savoir un cours complet sur la programmation orientée objet appliquée à ce langage. Il préfère emmener le lecteur directement sur le terrain avec des projets qui mettent en oeuvre les cartes et différents périphériques. Plus d'une quarantaine d'exemples et de montages permettent de découvrir la richesse de CircuitPython. Toutefois l'auteur s'est imposé une limite pour ne pas décourager les novices : le code de chaque projet ne dépasse jamais la centaine de lignes. Pour ce qui est du matériel, là aussi la simplicité domine : aucun programmateur, un simple PC suffit ; aucun soudage grâce au câblage sur platine d'essai. Les cartes d'extension FeatherWing à enficher sur la Feather nRF52840 Sense permettent de démultiplier ses fonctions : matrice de LED, enregistreur de données, écran à encre électronique, écran OLED, écran TFT, commande de moteurs, audio, relais… Toutes les étapes (assemblage des différents composants, installation des bibliothèques requises, programmation, tests…) sont expliquées en détail. Le code des différents exemples et projets est disponible sur Github. Le résultat de chaque projet est même présenté sur de courtes vidéos disponibles sur YouTube. À la fin de sa lecture, le nouveau Pythonien pourra facilement approfondir les notions abordées et donner vie à ses propres projets grâce aux outils qu'il aura essayés. Ce livre s'adresse aux lycéens et étudiants ainsi qu'à toute la communauté des makers. Chaîne YouTube de l'auteur : YouTube (Michaël Bottin)

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The PCBite Magnifier (premium build quality made from CNC machined aluminum) enlarges your target and makes it easier to see during soldering, inspection and measurements. Especially useful when placing PCBite hands free probes on fine pitch SMD components during measurements. 3x magnification edgeless lens for increased visibility of the work surface and AR coating (anti-reflection) to reduce reflections from nearby light sources. Optimized design, magnification and focal point for use together with the PCBite PCB holders and baseplates included in all PCBite kits. Can also be used handheld but not standalone without a metal surface as base. At the bottom of the magnifier foot there is a strong magnet perfectly balanced in strength. A low friction bottom cap protects the magnet and the baseplate to make the magnifier easy to slide when repositioning or removing the magnifier from the baseplate. Friction based adjustment of lens tilt and rotate positions takes away the need for annoying and complicated set screws.

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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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Nahezu alle Menschen werden zunehmend mit den Anwendungen der „Künstlichen Intelligenz“ (KI oder AI für engl. Artificial Intelligence) konfrontiert. Musik- oder Videoempfehlungen, Navigationssysteme, Einkaufsvorschläge etc. basieren auf Verfahren, die diesem Bereich zugeordnet werden können. Der Begriff „Künstliche Intelligenz“ wurde 1956 auf einer internationalen Konferenz, dem Dartmouth Summer Research Project geprägt. Eine grundlegende Idee war dabei, die Funktionsweise des menschlichen Gehirns zu modellieren und darauf basierend fortschrittliche Computersysteme zu konstruieren. Bald sollte klar sein, wie der menschliche Verstand funktioniert. Die Übertragung auf eine Maschine wurde nur noch als ein kleiner Schritt angesehen. Diese Vorstellung erwies sich als etwas zu optimistisch. Dennoch sind die Fortschritte der modernen KI, beziehungsweise ihrem Teilgebiet dem sogenannten „Machine Learning“, nicht mehr zu übersehen. Um die Methoden des Machine Learnings näher kennenzulernen, sollen in diesem Buch mehrere verschiedene Systeme zum Einsatz kommen. Neben dem PC werden sowohl der Raspberry Pi als auch der „Maixduino“ in den einzelnen Projekten ihre Fähigkeiten beweisen. Zusätzlich zu Anwendungen wie Objekt- und Gesichtserkennung entstehen dabei auch praktisch einsetzbare Systeme wie etwa Flaschendetektoren, Personenzähler oder ein „Sprechendes Auge“. Letzteres ist in der Lage, automatisch erkannte Objekte oder Gesichter akustisch zu beschreiben. Befindet sich beispielsweise ein Fahrzeug im Sichtfeld der angeschlossenen Kamera, so wird die Information „I see a car!“ über elektronisch erzeugte Sprache ausgegeben. Derartige Geräte sind hochinteressante Beispiele dafür, wie etwa auch blinde oder stark sehbehinderte Menschen von KI-Systemen profitieren können.

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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PCBite is the complete solution handling your circuit board during the development phase. Powerful magnets together with a stainless base plate makes the system flexible, mobile and user friendly. The holder can easily be repositioned to handle circuit boards of varying shape and sizes. The probes are steady but yet flexible made for instant measurements or total hands-free operations together with your multimeter or prefered tool. Included 4x PCBite holder 2x Banana to DuPont test wires red/black 2x SP10 probe with red/black probe head and pin tipped test needles 2x Extra crown tipped test needle 1x Set of yellow insulation washers 1x Large Baseplate (A4) 1x Microfiber cloth Downloads User Guide

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Architecture, Programming and Applications The MSP430 is a popular family of microcontrollers from Texas Instruments. In this book we will work with the smallest type, which is the powerful MSP430G2553. We will look at the capabilities of this microcontroller in detail, as it is well-suited for self-made projects because it is available in a P-DIP20 package. We will take a closer look at the microcontroller and then build, step by step, some interesting applications, including a 'Hello World' blinking LED and a nice clock application, which can calculate the day of the week based on the date. You also will learn how to create code for the MSP microcontroller in assembler. In addition to that, we will work with the MSP-Arduino IDE, which makes it quite easy to create fast applications without special in-depth knowledge of the microcontrollers. All the code used in the book is available for download from the Elektor website.

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Fumes released during the soldering process are potentially harmful to health. This solder fume extractor is securely fastened to the work table with a bracket. Thanks to the 3 axes, the solder fume extractor can be positioned perfectly, i.e. directly above the rising solder fumes. The harmful solder fumes are extracted by a powerful but quiet fan and filtered by an activated-carbon filter mat. Features Removes solder fumes Absorbs toxic gases and fumes from brazing operations Helps reduce the likelihood of headaches, eye irration and neusea Adjustable absorption angle for accurate placement Easy replaceable activated carbon filter High-performance fan Low noise and long life service Specifications Absorption capacity: 1 m³/min (max.) Power consumption: 23 W Power supply: 220-240 VAC Amount of activated carbon filter: 7 g Maximum absorption weight: 2 g Dimensions: 220 x 270 x 168 mm (W x H x D) Weight: 1.4 kg

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Practical Projects and Programs With Experimenting with Red Pitaya STEMlab Gen 2, Red Pitaya goes beyond a versatile board. It becomes a powerful laboratory instrument for precision measurement, analysis, and control. From the fundamentals of electronic project development, monitoring, control, and design to testing, this book walks you step-by-step through everything you need to know to harness the full potential of Red Pitaya hardware and software. The book presents real-time, FPGA-based projects that are developed on a PC using the Vivado environment, then transferred to the Red Pitaya for execution and testing. You will learn about enhanced performance, expanded I/O capabilities, improved FPGA features, and advanced connectivity options that open up new frontiers for precision measurement, monitoring, and control in your embedded applications. Inside the book you will discover: A deep dive into Red Pitaya architecture and hardware design Electronic experiments using Red Pitaya for measurement and monitoring Hands-on projects using the Python programming language Practical guidance for FPGA programming using Red Pitaya Red Pitaya FPGA projects using the Verilog HDL under Vivado IDE Practical design of electronic projects including measurement and testing Step-by-step examples that bridge theory and real-world implementation Whether you are designing your own electronic circuits, developing signal analysis tools, or creating real-time control or monitoring systems, this book provides you the knowledge and confidence you need to fully learn and customize the Red Pitaya platform.

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The FNIRSI SG-003A multi-functional Signal Generator a.k.a. Process Meter/Calibrator is a high-precision voltage/current generator and meter. The SG-003A provides highly accurate reference voltages or currents for testing and calibrating other measurement instruments like multimeters and oscilloscopes. Besides voltages and currents, the SG-003A also generates rectangular pulse signals with precisely programmable frequencies and duty cycles. Its converter mode turns the SG-003A into a precision voltage-controlled current source, or current-controlled voltage source, and even a voltage- or current-controlled frequency generator. The SG-003A is a great tool for checking your multimeter’s accuracy and precision, and for testing e.g. LEDs. Features Accuracy (voltage/current) 0.1% ±0.005 Resolution (current) 0.01 mA Frequency 0-10 kHz Resolution 5 digits Output power 24 V Display 2.4" TFT LCD (320 x 240) Dimensions 92 x 72 x 30 mm Weight 165 g Specifications Signal Range Precision Resolution Max load External power supply Active current output 0~24 mA ±(0.1% + 0.005) 0.01 mA 750 Ω Passive current output (XMT) 0~24 mA ±(0.1% + 0.005) 0.01 mA 0~30 V Voltage output 0~24 V ±(0.1% + 0.005) 0.01 V 24 V loop 0~24 mA ±(0.1% + 0.005) 0.01 mA Frequency output 0~9999 Hz ±2% 5 digits Current input 0~24 mA ±(0.1% + 0.005) 0.01 mA Voltage input 0~30 V ±(0.1% + 0.005) 0.01 V Included 1x FNIRSI SG-003A Signal generator 4x Test clips 1x USB charger 1x USB-C cable 1x Manual Downloads Manual Firmware V4.3

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