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Basic Electronics. Theory and Practice
Mercury Learning and Information, Sean Westcott, Jean Riescher Westcott
This updated edition introduces students and hobbyists to electronics, covering microcontrollers, sensors, and wireless communication. Each chapter includes a lab, progressing to building a robot with Arduino and Netduino. New material on Raspberry Pi and Python is included, with companion files featuring videos and code samples.The course begins with basic electronics concepts, building circuits, and understanding components. It covers digital theory and practical applications with sensors, motors, and microcontrollers. Topics include electricity theory, currents, circuits, tools, safety, and components like resistors, capacitors, diodes, and transistors. Advanced topics include power supplies, soldering, digital theory, integrated circuits, memory, and microcontrollers.These concepts are crucial for innovation in electronics. This book transitions readers from basic labs to constructing a robot using open-source hardware. It covers Raspberry Pi projects and explores cybersecurity and IoT. Appendices include math for electronics, a timeline of innovations, careers in electronics, and a glossary. This guide provides both theoretical knowledge and practical skills, making it invaluable for mastering electronics.
Tekton is a powerful yet flexible Kubernetes-native open source framework for creating continuous integration and continuous delivery (CI/CD) systems. It enables you to build, test, and deploy across multiple cloud providers or on-premise systems.Building CI/CD Systems Using Tekton covers everything you need to know to start building your pipeline and automating application delivery in a cloud-native environment. Using a hands-on approach, you will learn about the basic building blocks, such as tasks, pipelines, and workspaces, which you can use to compose your CI/CD pipelines. As you progress, you will understand how to use these Tekton objects in conjunction with Tekton Triggers to automate the delivery of your application in a Kubernetes cluster.By the end of this book, you will have learned how to compose Tekton Pipelines and use them with Tekton Triggers to build powerful CI/CD systems.
C++ in Embedded Systems. A practical transition from C to modern C++
Amar Mahmutbegović, Steve Branam
Transitioning from C can be daunting, with concerns about performance overhead, added complexity, and unfamiliar tooling. Addressing these challenges, Amar Mahmutbegovic, an advocate for modern C++ in embedded development, shows you how to harness zero-cost abstractions, compile-time checks, and powerful modern C++ capabilities to preserve performance while achieving safer, cleaner code. This book bridges the gap between traditional C and advanced C++, helping you retain the efficiency C developers demand while unlocking the safety and expressiveness of modern C++. Starting with a modern development environment setup, including a Docker container for seamless example replication, you’ll overcome the hurdles of using the C++ standard library in memory-constrained settings and get acquainted with the Embedded Template Library (ETL) as an alternative. The book walks you through essential C++ concepts before exploring advanced topics such as templates, strong typing, error handling, compile-time computation, and RAII. Through practical examples, you'll implement a sequencer, write a type-safe HAL, and apply patterns like Command, State, and Observer to solve common embedded development problems. By the end of this book, you’ll have learned how to apply modern C++ to develop robust, modular firmware with performance matching or exceeding hand-coded C solutions.
Embedded Vision. Mastering Advanced Techniques for Real-Time Image Processing and Analysis
Mercury Learning and Information, S. R. Vijayalakshmi, S. Muruganand
Embedded vision integrates computer vision into machines using algorithms to interpret images or videos. This book serves as an introductory guide for designing vision-enabled embedded products, with applications in AI, machine learning, industrial, medical, automotive, and more. It covers hardware architecture, software algorithms, applications, and advancements in cameras, processors, and sensors.The course begins with an overview of embedded vision, followed by industrial and medical vision applications. It then delves into video analytics, digital image processing, and camera-image sensors. Subsequent chapters cover embedded vision processors, computer vision, and AI integration. The final chapter presents real-time vision-based examples.Understanding these concepts is vital for developing advanced vision-enabled machines. This book takes readers from the basics to advanced topics, blending theoretical knowledge with practical applications. It is an essential resource for mastering embedded vision technology across various industries.