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This book is aimed at practising engineers, students and hobbyists. It is intended as a source of reference for hardware and software associated with instrumentation and control engineering. Examples are presented from a range of industries and applications. Throughout the book, circuit diagrams and software listings are described, typical of many measurement and control applications. The hardware and software designs may be used as a basis for application by the reader. The book contains examples of PIC, PLC, PAC and PC programming. All code samples are available to download free of charge from the support website. After an introductory section on control theory and modelling, the text focus is upon software for control system simulation and implementation, with appropriate reference to interfacing, electronic hardware and computing platforms. Introduction to Control Engineering is a sourcebook of solutions for control system applications!

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Although the Arduino isn’t a novelty any longer, there are still many beginners who want to try programming and development with a microcontroller, and to them, it is all new. All beginnings can be difficult, though they should be light and enjoyable. You do not need much or expensive equipment for the examples. The circuits are built on a small breadboard, and, if necessary, connected to an Arduino Uno, which you can program on a Windows PC. You will find clear examples of how to build all circuits, ensuring easy and error-free reproduction. Projects Discussed Current & Voltage – How it all began Arduino Hardware Arduino Programming The Electrical Circuit Measuring with the Multimeter Circuit Diagrams and Breadboards Creating Circuit Diagrams Breadboard Views with Fritzing Online Circuit Simulation Indispensable: Resistors (Part 1) Hands-on with Resistors (Part 2) Variable Resistors Diodes: One-way Street for Current The Transistor Switch Electromagnetism Relays and Motors op-amps: Operational Amplifiers Capacitors The NE555 Timer PWM and Analogue Values with Arduino 7-Segment Temperature Display Introduction to Soldering and LCDs

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The FNIRSI TDM-120P is a thermal imaging multimeter that combines thermal imaging technology with traditional multimeter functions, delivering more comprehensive and intuitive test results for electrical testing and related applications. It is widely used in fields such as electrical engineering, industrial manufacturing, construction, and security monitoring. The TDM-120P provides reliable technical support for equipment testing, fault diagnosis, and maintenance management, helping to improve production efficiency, product quality, and overall safety. Features 2-in-1: Thermal Imager + True RMS Multimeter (19,999 Counts) 120 x 90 HD Imaging | <60 mK High Thermal Sensitivity -20°C to 400°C (-4°F to 752°F) Temperature Range | 0.01–1.00 Adjustable Emissivity 2.8" LCD Touch Screen | 7 Color Palettes | One-Click Save & USB Export Full Multimeter Functions: AC/DC Voltage, Resistance, and Capacitance Wide Application: HVAC, Leak Detection, Electrical & Automotive Repair Specifications 7 Color Palettes Arctic / Hot Iron / Iron Red / Rainbow / Lava / Black Hot / White Hot Detector Type Vanadium oxide Field of View 50° Screen 2.8-inch LCD touchscreen Frame Rate ≤25 Hz Infrared Resolution 120 x 90 Temperature Measurement Display Center point, automatic high/low temperature tracking Temperature Range -20°C ~ 400°C (-4°F ~ 752°F) Temperature Unit °C / °F Accuracy ±2°C or ±2% (maximum value measured) High/Low Temperature Alarm Yes Emissivity 0.01-1 adjustable Languages English, Chinese Multimeter DC Voltage Range: 1.9999V / 19.999V / 199.99V / 1000V Accuracy: ±(0.5% +3) AC Voltage Range: 1.9999V / 19.999V / 199.99V / 750.0V Accuracy: ±(1% +3) Resistance Range: 19.999MΩ / 1.9999MΩ / 199.99KΩ / 19.999KΩ Accuracy: ±(0.5% +3) Range: 1.9999KΩ / 199.99Ω Accuracy: ±(2.0% +3) Capacitance Range: 999.9μF / 99.99μF / 9.999μF / 999.9nF / 99.99nF / 9.999nF Accuracy: ±(2.0% +5) Range: 9.999mF / 99.99mF Accuracy: ±(5.0% +20) Diode Yes Continuity Yes Included 1x FNIRSI TDM-120P Thermal Imaging Multimeter 2x Multimeter Test Leads 1x Storage bag 1x USB cable 1x Manual Downloads Manual Firmware v1.2.6

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Physical Computing met het Arduino-platform Dit leerboek over het Arduino-platform is uniek en brengt u stap voor stap van beginner tot gevorderde Arduino-gebruiker. Er wordt duidelijk in uitgelegd waarom en waardoor toepassingen werken, ondersteund door gedetailleerde afbeeldingen in kleur. Er is slechts een geringe elektronische basiskennis vereist, omdat de benodigde hardware uitgebreid wordt besproken. Het laatste gedeelte van dit boek bevat een degelijke theoretische verdieping, zodat u een krachtig naslagwerk achter de hand houdt. Er bestond in het Nederlands nog geen lesboek over dit platform. De didactische opbouw is zodanig dat de vereiste abstracte kennis wordt uitgelegd aan de hand van toepasbare en actuele praktijkvoorbeelden. De meeste toepassingen zijn gericht op ‘physical computing’, dat is de interactie tussen sensoren, actoren, elektronica en software. Hierdoor is het boek ook geschikt voor technisch beroepsonderwijs, o.a. voor de richting mechatronica. De opbouw van het boek is als volgt: Algemene introductie microcontrollers. Informatie over het Arduino-platform. Oefeningen met uitleg aan de hand van 21 voorbeelden. Praktijkvoorbeelden met uitleg aan de hand van 5 voorbeelden. Theoretische verdieping van de software en hardware. Praktische elektronicaschema´s. Alle software-voorbeelden in het boek zijn als download beschikbaar.

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Analoge schakelingen, sensors en microcontrollers Elektronica is spannend. Het is een hobby die zowel leuk als leerzaam is. Het stelt je in staat om thuis of op het werk nieuwe en nuttige vaardigheden te leren. Een ervaren elektronicus ontwerpt zijn eigen schakelingen, en brengt zijn projecten tot leven. Maar voordat je zover bent, moet je eerst de basis onder de knie krijgen. Daarom brengt dit boek een groot aantal inleidende artikelen samen die in het elektronicatijdschrift Elektor zijn gepubliceerd. Het is je metgezel bij het leerproces in de wereld van de elektronica. Het begint allemaal met analoge elektronica. Je zult de eenvoudigste componenten en circuits ontdekken om te begrijpen hoe ze werken, hoe ze op elkaar inwerken en de mogelijke problemen. De beste manier om vooruitgang te boeken is door echte experimenten uit te voeren, want theorie is niet genoeg. Dit boek begeleid je in een groot aantal praktische projecten voor beginners. Door ze te maken, doe je veel ervaring en kennis op. Het tweede deel van het boek neemt je mee in de wereld van de digitale elektronica. De auteur bespreekt het gebruik van microcontrollers. Taken die voorheen werden uitgevoerd door discrete componenten of conventionele geïntegreerde schakelingen worden nu uitgevoerd door microcontrollers. De programmeertaal BASCOM, maar ook platforms als Arduino, BBC micro:bit en andere, maken dit leerproces veel gemakkelijker. Dit boek beschrijft in detail vele toepassingen van microcontrollers, die betaalbaar zijn voor de beginner. Hier gaan programmeren en solderen hand in hand!

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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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It is becoming important for microcontroller users to quickly learn and adapt to new technologies and architecture used in high performance 32-bit microcontrollers. Many manufacturers now offer 32-bit microcontrollers as general purpose processors in embedded applications. ARM provide 32 and 64-bit processors mainly for embedded applications. These days, the majority of mobile devices including mobile phones, tablets, and GPS receivers are based on ARM technology. The low cost, low power consumption, and high performance of ARM processors makes them ideal for use in complex communication and mixed signal applications. This book makes use of the ARM Cortex-M family of processors in easy-to-follow, practical projects. It gives a detailed introduction to the architecture of the Cortex-M family. Examples of popular hardware and software development kits are described. The architecture of the highly popular ARM Cortex-M processor STM32F107VCT6 is described at a high level, taking into consideration its clock mechanisms, general input/output ports, interrupt sources, ADC and DAC converters, timer facilities, and more. The information provided here should act as a basis for most readers to start using and programming the STM32F107VCT6 microcontroller together with a development kit. Furthermore, the use of the mikroC Pro for ARM integrated development environment (IDE) has been described in detail. This IDE includes everything required to create a project; namely an editor, compiler, simulator, debugger, and device programmer. Although the book is based on the STM32F107VCT6 microcontroller, readers should not find it difficult to follow the projects using other ARM processor family members.

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Practical Applications and Project with Arduino, ESP32, and RP2040 Immerse yourself in the fascinating world of control engineering with Arduino and ESP32! This book offers you a practical introduction to classic and modern control methods, including PID controllers, fuzzy logic, and sliding-mode controllers. In the first part, you will learn the basics of the popular Arduino controllers, such as the Arduino Uno and the ESP32, as well as the integration of sensors for temperature and pH measurement (NTC, PT100, PT1000, and pH sensor). You will learn how to use these sensors in various projects and how to visualize data on a Nextion TFT display. The course continues with an introduction to actuators such as MOSFET switches, H-bridges, and solid-state relays, which are used to control motors and actuators. You will learn to analyze and model controlled systems, including PT1 and PT2 control. The book focuses on the implementation of fuzzy and PID controllers for controlling temperature and DC motors. Both the Arduino Uno and the ESP32 are used. The sliding-mode controller is also introduced. In the second-to-last chapter, you will explore the basics of neural networks and learn how machine learning can be used on an Arduino. In the last chapter, there is a practical example of a fuzzy controller for feeding electricity into the household grid. This book is the perfect choice for engineers, students, and electronics engineers who want to expand their projects with innovative control techniques.

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An Introduction to Real and Reduced-Scale Autonomous Vehicles Want to cut through the hype and get to the core of autonomous and connected vehicles? Then this book is your clear, accessible guide to a complex and fast-moving field. Starting with Intelligent Transport Systems (ITS), it walks you through the essential foundations, including Advanced Driver Assistance Systems (ADAS) – the stepping stones to full autonomy. Explore how self-driving cars mimic human behavior through a loop of perception, analysis, decision, and action. Discover the key functions that make it possible: localization, obstacle detection, driver monitoring, cooperative awareness – and the most challenging of all, trajectory planning, across strategic, tactical, and operational levels. Will vehicles be connected? The debate is on – but the standards are already here. Learn how connectivity, infrastructure, and vehicles can work in synergy through the innovative concept of floating car data (FCD). Dive into real-world implementation: with embedded electronics account-ing for over 30% of a modern vehicle‘s cost, we unpack the architecture, coordination, and tools required to manage the complexity – brought to life with a hands-on case study. To finish, we open the door to the future: building your own 1:10 scale autonomous vehicle. No plug-and-play solutions – just the foundations for a collaborative, creative, and geek-friendly challenge. Let’s drive the future together.

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Projekte mit Arduino Uno und Raspberry Pi In diesem Buch werden Anwendungen von Arduino Uno und Raspberry Pi 4 in praxisnahen Projekten auf Basis von CAN-Bus detailliert beschrieben. Durch den Einsatz von entweder Arduino Uno oder Raspberry Pi in Verbindung mit handelsüblichen CAN-Bus-Schnittstellenmodulen werden die Entwicklung, Fehlersuche und Fehlerbeseitigung sowie die Überprüfung von Projekten auf CAN-Bus-Basis erheblich erleichtert. Dieses Buch richtet sich an jeden, der mehr über den CAN-Bus lernen möchte und mit den Grundlagen der Elektronik vertraut ist. Hilfreich ist auch Erfahrung mit den Programmiersprachen C und Python sowie mit der Programmierung von Arduino Uno unter Verwendung seiner IDE und von Raspberry Pi zu haben. Das Buch ist eine nützliche Informationsquelle und ein Nachschlagewerk für jeden, der Antworten auf eine oder mehrere der folgenden Fragen sucht: Welche Bussysteme stehen für die Automobilindustrie zur Verfügung? Was sind die Grundprinzipien des CAN-Bus? Welche Arten von Frames (oder Datenpaketen) stehen in einem CAN-Bussystem zur Verfügung? Wie können Fehler in einem CAN-Bussystem erkannt werden, und wie zuverlässig ist ein CAN-Bussystem? Welche Arten von CAN-Bus-Controllern gibt es? Welches sind die Funktionsprinzipien des MCP2515 CAN-Bus-Controllers? Wie kann ich ein CAN-Bus-Projekt mit Arduino Uno realisieren? Wie kann ich Arduino oder Raspberry Pi CAN-Bus-Projekte mit 2 und 3 Knoten erstellen? Wie kann ich die Daten auf dem CAN-Bus analysieren? Wie kann ich ein CAN-Bus-Projekt mit Raspberry Pi ausführen?

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From Theory to Practical Applications in Wireless Energy Transfer and Harvesting Wireless power transmission has gained significant global interest, particularly with the rise of electric vehicles and the Internet of Things (IoT). It’s a technology that allows the transfer of electricity without physical connections, offering solutions for everything from powering small devices over short distances to long-range energy transmission for more complex systems. Wireless Power Design provides a balanced mix of theoretical knowledge and practical insights, helping you explore the potential of wireless energy transfer and harvesting technologies. The book presents a series of hands-on projects that cover various aspects of wireless power systems, each accompanied by detailed explanations and parameter listings. The following five projects guide you through key areas of wireless power: Project 1: Wireless Powering of Advanced IoT Devices Project 2: Wireless Powered Devices on the Frontline – The Future and Challenges Project 3: Wireless Powering of Devices Using Inductive Technology Project 4: Wireless Power Transmission for IoT Devices Project 5: Charging Robot Crawler Inside the Pipeline These projects explore different aspects of wireless power, from inductive charging to wireless energy transmission, offering practical solutions for real-world applications. The book includes projects that use simulation tools like CST Microwave Studio and Keysight ADS for design and analysis, with a focus on practical design considerations and real-world implementation techniques.

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This book is about advanced programming of the Raspberry Pi computer using the Python programming language. The book explains in simple terms and with examples: How to configure the Raspberry Pi computer; How to install and use the Linux operating system and the desktop; How to write advanced programs using the Python programming language; How to use graphics in our programs; How to develop hardware based projects using the Raspberry Pi. The book starts with an introduction to the Raspberry Pi computer and covers the topics of purchasing all the necessary accessories and installing and operating the Linux operating system in command mode. The network interface of the RPi is explained in simple steps, demonstrating how the computer can be accessed remotely from a desktop or a laptop computer. The remaining parts of the book cover the Python programming language in detail, including advanced topics such as operating system calls, multitasking, interprocess synchronization and interprocess communication techniques. The important topic of network programming using UDP and TCP protocols is described with working examples. The Tkinter graphical user interface module (GUI) is described in detail with example widgets and programs. The last part of the book includes hardware projects based on using the advanced programming topics such as multitasking and interprocess communication techniques. All the projects given in the book have been fully tested and are working. Complete program listings of all projects are provided with detailed explanations.

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