Название: Advances in Microwave Engineering: From Novel Materials to Novel Microwave Applications
Автор: Ankan Bhattacharya, Bappadittya Roy, Arnab De, Ujjal Chakraborty
Издательство: CRC Press
Серия: Modern Aspects of Computing, Devices, and Communication Engineering
Год: 2024
Страниц: 408
Язык: английский
Формат: pdf (true)
Размер: 30.0 MB

This text showcases recent advancements in the field of microwave engineering, starting from the use of innovative materials to the latest microwave applications. It also highlights safety guidelines for exposure to microwave and radio frequency energy. The book provides information on measuring circuit parameters and dielectric parameters. Microwave engineering and associated technologies will be examined for emerging innovations and cutting-edge research. Microwave engineer­ing encompasses new breakthroughs and novel techniques in microwave antenna design as well as many elements of microwave propagation. Start­ing with single/multiband antennas, this book will demonstrate many design and performance features of wideband to super-wideband antennas, as well as multiple input/multiple outputs (MIMOs) for wireless communication, as well as various gadgets for portable wireless devices. The goal of this book is to highlight various areas of microwave com­munication and networking in addition to highlight reviews and research on cutting-edge technologies by academicians, researchers, and scientists in the fields of microwave engineering and allied areas.

Название: Artificial Intelligence in IoT and Cyborgization
Автор: Rajesh Kumar Dhanaraj, Bharat S. Rawal, Sathya Krishnamoorthi
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 191
Язык: английский
Формат: pdf (true), epub
Размер: 35.0 MB

This book introduces the concept of combining Artificial Intelligence (AI) and Internet of things (IoT) with real human organs to form a cybernetic organism or cyborg. It is a concept of man–machine mixture which helps in restoring or enhancing the ability of a body part by integrating some technology or artificial component with that body part. These smart artificial organs act as a substitute for real organs having various capabilities like scanning the body, detecting and transmitting the diagnostic data to machines. For example, an artificial heart is capable of monitoring the overall health of a person, and lungs can inform the doctor of abnormalities. This book benefits academic researchers and industrialist who work in the field cyborgization and IoT within human bodies. It is asserted that in today’s world, technology is playing an important role in our lives and has a huge impact on the way we communicate, live, and work. Technologies like Artificial Intelligence (AI), Machine Learning, Deep Learning, Internet of Things (IoT), and many more have acquired a major part of our day-to-day lives and have made it very easy. Artificial Intelligence is making machines intelligent in contrast to the natural intelligence shown by human beings and other animals. Machine learning is the application of artificial intelligence which provides machines the ability to learn through experience instead of programming them explicitly. It helps the machines to act cognitively which can be further used in reading, interpreting, and utilizing heaps of data. Another important technology is the Internet of Things (IoT) which facilitates the networks of devices like actuators, software, electronic appliances, sensors, etc., to communicate with each other. The combination of IoT with AI can be used to teach decision-making to machines. Although these two technologies are in their stage of infancy, they have helped in the creation of a new category called Artificial Sensors.

Название: Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures
Автор: Sudeep Pasricha, Muhammad Shafique
Издательство: Springer
Год: 2024
Страниц: 418
Язык: английский
Формат: pdf (true)
Размер: 21.8 MB

This book presents recent advances towards the goal of enabling efficient implementation of Machine Learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying Machine Learning to innovative application domains, exploring the efficient hardware design of efficient Machine Learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Machine Learning (ML) has emerged as a prominent approach for achieving state-of-the-art accuracy for many data analytic applications, ranging from computer vision (e.g., classification, segmentation, and object detection in images and video), speech recognition, language translation, healthcare diagnostics, robotics, and autonomous vehicles to business and financial analysis. The driving force of the ML success is the advent of neural network (NN) algorithms, such as deep neural networks (DNNs)/Deep Learning (DL) and spiking neural networks (SNNs) with support from today’s evolving computing landscape to better exploit data and thread-level parallelism with ML accelerators. This volume of the book focuses on addressing these challenges from a hardware perspective, with multiple solutions towards the design of efficient accelerators, memory, and emerging technology substrates for embedded ML systems.

Название: Robust Battery Management Systems: Theory, Algorithms, and Software
Автор: Balakumar Balasingam
Издательство: Artech House
Год: 2023
Страниц: 305
Язык: английский
Формат: pdf (true)
Размер: 12.0 MB

This book provides model-based solutions to various battery management problems, including battery impedance estimation, battery capacity estimation, state of charge estimation, state of health estimation, battery thermal management, and optimal charging algorithms. The book introduces important battery management problems in a modularized fashion, decoupling each battery management problem from others as much as possible, allowing you to focus on understanding a particular topic rather than having to understand all aspects of a battery management system. You will get the necessary background to understand, implement and improve battery fuel gauges in electric vehicles, and general state of health of the battery; use proven models and algorithms to estimate the thermal properties of a battery; and know the basics of smart battery charger design. You will also be equipped to accurately estimate battery features of vehicles, such as state of charge, expected charging time, and state of health, to make customized charging waveforms for each vehicle. The book teaches you how to create simulation environments to test and validate algorithms against model uncertainty and measurement noise. In addition, the importance of benchmarking battery management algorithms is covered, and several bench marking metrics are presented. Included MATLAB codes give you an easy way to test the algorithms using realistic data and to develop and test alternative solutions.

Название: В помощь радиокружку
Автор: Иванов Б.С.
Издательство: Радио и связь
Год: 1982
Cтраниц: 128
Формат: pdf
Размер: 11 мб
Язык: русский

Описываются самодельные конструкции из различных областей радиолюбительского творчества: приемники, усилители, переговорные устройства, электромузыкальные устройства, домашние автоматы, новогодние аттракционы, приборы для фотопечати и многие другие. Для широкого круга радиолюбителей.

Название: The Complete Raspberry Pi Manual - 19th Edition, 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Страниц: 184
Язык: английский
Формат: pdf
Размер: 106.7 MB

Раскрыть и освоить потенциал Raspberry Pi... Благодаря уникальному устройству, операционной системе и удивительному сообществу фантазеров этот маленький компьютер Raspberry Pi стал одним из самых важных образцов образовательной техники в мире. Он помогает людям узнать, как работают компьютеры, программирование и электроника, а также помогает науке и инженерии, астронавтам и техникам, молодым и пожилым, учителям и студентам. С нашим руководством по Raspberry Pi вы узнаете, как работает Pi, что с ним можно делать и куда отправиться в своих приключениях. У нас есть все: от настройки Pi до обучения программированию на нем с помощью Python, от изучения Linux до проектов, которые выведут вас и ваш Pi на новый уровень. Читайте дальше, и давайте раскроем ваше воображение с помощью возможностей Raspberry Pi.

Название: Однокристальные декодеры фирмы STMicroelectronics для цифрового ТВ
Автор: Федоров В.К.
Издательство: СОЛОН-Пресс
Год: 2020
Страниц: 160
Язык: русский
Формат: pdf
Размер: 68.9 MB

Данное руководство является справочным пособием по однокристальным декодерам компании STMicroelectronics, предназначенным для использования в телевизионных приставках (ресиверах), абонентских терминалах и телевизионных приемниках цифровых телевизионных сигналов. Руководство содержит документацию практически на все декодеры ST, начиная с первых интегральных схем, изготовленных по технологии "система-на-кристалле" (SnC) и используемых для приема сигналов стандартной четкости, и заканчивая семейством LIEGE, предназначенным для приема телевизионных сигналов высокой четкости. Помимо описания функциональных устройств однокристальных декодеров, описаны пространственное расположение и назначение их выводов, а также характерные неисправности и методы их устранения, связанные с отказами этих интегральных схем. Данное издание предназначено для всех типов специалистов, занимающихся ремонтом электронной техники, как начинающих, так и имеющих определенный опыт ремонта оборудования в этой области.

Название: Многофункциональные радиолокационные системы
Автор: Дудник П.И., Ильчук А.Р., Татарский Б.Г.
Издательство: М.: Дрофа
Год: 2007
Cтраниц: 283
Формат: pdf
Размер: 29 мб
Язык: русский

В учебном пособии рассматривается круг вопросов, связанных с действием многофункциональных радиолокационных систем (МФ РЛС) в различных режимах излучения и обработки радиолокационных сигналов. Структурно пособие разделено на четыре части. В первой части рассматриваются задачи, решаемые МФ РЛС, предъявляемые к ним требования, а также их режимы излучения и функционирования.

Название: In-Memory Computing Hardware Accelerators for Data-Intensive Applications
Автор: Baker Mohammad, Yasmin Halawani
Издательство: Springer
Год: 2024
Страниц: 145
Язык: английский
Формат: pdf (true), epub
Размер: 34.2 MB

This book describes the state-of-the-art of technology and research on In-Memory Computing Hardware Accelerators for Data-Intensive Applications. The authors discuss how processing-centric computing has become insufficient to meet target requirements and how Memory-centric computing may be better suited for the needs of current applications. This reveals for readers how current and emerging memory technologies are causing a shift in the computing paradigm. The authors do deep-dive discussions on volatile and non-volatile memory technologies, covering their basic memory cell structures, operations, different computational memory designs and the challenges associated with them. Specific case studies and potential applications are provided along with their current status and commercial availability in the market. Memory plays a crucial role in digital system design and computing, primarily by storing data and making it available to execution units as quickly as possible. The architecture of memory has evolved significantly due to advances in technology. In the past, computers had limited on-chip memory, and data had to be moved from main memory to the CPU.

Название: Robot Control and Calibration: Innovative Control Schemes and Calibration Algorithms
Автор: Xin Luo, Zhibin Li, Long Jin, Shuai Li
Издательство: Springer
Серия: SpringerBriefs in Computer Science
Год: 2023
Страниц: 132
Язык: английский
Формат: pdf (true), epub
Размер: 29.1 MB

This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control; recurrent neural network (RNN) for solving perturbed time-varying underdetermined linear systems; and a new joint-drift-free scheme aided with projected ZNN, which can effectively improve robot control accuracy. Moreover, the book develops four advanced algorithms for robot calibration – Levenberg-Marquarelt with diversified regularizations; improved covariance matrix adaptive evolution strategy; quadratic interpolated beetle antennae search algorithm; and a novel variable step-size Levenberg-Marquardt algorithm – which can effectively enhance robot positioning accuracy. We develop some control and calibration schemes for enhancing the tracking and positioning accuracy of the robot. The first model is a Model Predictive Control (MPC) scheme for robot trajectory tracking, which can optimize tracking error, velocity norm, and acceleration norm. The second model is a new recurrent neural network (RNN), which has better performance in dealing with time-varying underdetermined linear systems with double limits. The third model is a novel Joint Drift Free (JDF) scheme synthesized by the Projection Zeroing Neural Network (PZNN) model, which can effectively solve the motion generation and control of redundant manipulators under disturbance.