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Raspberry Pi 3 Cookbook for Python Programmers
Raspberry Pi 3 is a tiny affordable chip used to learn and program through interactive projects. It has gained a lot of traction as the first choice in single-board computers due to its versatility. It extends a wide range of support to Python programming. This recipe-based guide will allow you to showcase the capabilities of Raspberry Pi 3.
eBook
Raspberry Pi for dummies
In Raspberry Pi For Dummies, 3rd Edition veteran tech authors Sean McManus and Mike Cook make it easier than ever to get you up and running on your Raspberry Pi, from setting it up, downloading the operating system, and using the desktop environment to editing photos, playing music and videos, and programming with Scratch--and everything in between.
Book
Intelligent Mobile Projects with TensorFlow
Google TensorFlow is used to train all the models deployed and running on mobile devices. This book covers 10 projects on the implementation of all major AI areas on iOS, Android, and Raspberry Pi: computer vision, speech and language processing, and machine learning, including traditional, reinforcement, and deep reinforcement.
eBook
Learn electronics with Raspberry Pi : physical computing with circuits, sensors, outputs, and projects
Learning electronics can be tremendous fun -- your first flashing LED circuit is a reason to celebrate! But where do you go from there, and how can you move into more challenging projects without spending a lot of money on proprietary kits? One excellent answer is Raspberry Pi. Raspberry Pi is everywhere, it's inexpensive, and it's a wonderful tool for teaching about electronics and programming. Learn Electronics with Raspberry Pi shows you how to make a variety of cool projects using the Pi with programming languages like Scratch and Python, with no experience necessary. You'll learn how the Pi works, how to work with Raspbian Linux on the Pi, and how to design and create electronic circuits. You'll then create projects like an arcade game, disco lights, and infrared transmitter, and an LCD display. You'll also learn how to control Minecraft's Steve with a joystick and how to build a Minecraft house with a Pi, and even how to control a LEGO train with a Pi. You'll even learn how to create your own robot, including how to solder and even design a printed circuit board! Learn how to design and build electronic circuits, and even how to make a PCB Learn how to make fun projects like an arcade game, a robot, and a Minecraft controller while learning about sensors and how devices talk to each other Get started programming the Pi with Scratch and Python.
Book
Internet of Things with Raspberry Pi 3
Internet of Things (IoT) is currently a growing trend in the technology space, and Raspberry Pi is the perfect board to get started with building IoT projects. Applications of IoT are the basis of smart homes and when scaled up, we can drive smart cities and achieve manufacturing automation. This book covers many powerful features of.
eBook
Design and Implementation of a Real-Time Smart Home Management System Considering Energy Saving
One of the most challenging problems related to the operation of smart microgrids is the optimal home energy management scheme with multiple and conflicting objectives. Moreover, there is a noticeable increase in homes equipped with renewable energy sources (RESs), where the coordination of loads and generation can achieve extra savings and minimize peak loads. In this paper, a solar-powered smart home with optimal energy management is designed in an affordable and secure manner, allowing the owner to control the home from remote and local sites using their smartphones and PCs. The Raspberry Pi 4 B is used as the brain of the proposed smart home automation management system (HAMS). It is used to collect the data from the existing sensors and store them, and then take the decision. The home is monitored using a graphical interface that monitors room temperature, humidity, smoke, and lighting through a set of sensors, as well as PIR sensors to monitor the people movement. This action enables remote control of all home appliances in a safe and emission-free manner. This target is reached using Cayenne, which is an IoT platform, in addition to building some codes related to some appliances and sensors not supported in Cayenne from scratch. Convenience for people with disabilities is considered by using the Amazon Echo Dot (Alexa) to control home appliances and the charging point by voice, implementing the associated code for connecting the Raspberry pi with Alexa from scratch, and simulating the system on LabVIEW. To reach the optimal operation and reduce the operating costs, an optimization framework for the home energy management system (HEMS) is proposed. The operating costs for the day amounted to approximately 16.039 €. There is a decrease in the operating costs by about 23.13%. The consumption decreased after using the smart HAMS by 18.161 kWh. The results of the optimization also show that the least area that can be used to install solar panels to produce the desired energy with the lowest cost is about 118.1039 m2, which is about 23.62% of the total surface area of the home in which the study was conducted. The obtained results prove the effectiveness of the proposed system in terms of automation, security, safety, and low operating costs.
Journal Article
Learn robotics with Raspberry Pi : build and code your own moving, sensing, thinking robots
\"A beginner's guide to building and coding robots with the Raspberry Pi microcomputer. Each chapter teaches progressively complex lessons, from wireless control to line following, through detailed instructions and projects\"-- Provided by publisher.
Book
All‐in‐one, versatile and low‐cost experimental set‐up to implement environmental stochasticity in mesocosms (PiStoch)
Environmental stochasticity in abiotic factors is inherent to ecosystems and is exacerbated by global change. However, experimental protocols typically cancel this factor by using cyclic or constant conditions, limiting the study of environmental variations. This simplification highlights the need for better methodological tools to control fluctuating environmental variables. We present here a guidance and solution for generating and implementing stochastic environmental conditions through our Raspberry Pi System for environmental Stochasticity (PiStoch). This low‐cost, low‐tech and scalable method for mesocosm experiments also has the potential to replicate any other form of variability, including cyclic patterns. This system successfully reproduced stochastic time series in temperature and oxygen manipulation experiments. Testing with two biological case studies (macrophyte biomass and freshwater fish oxygen consumption), it demonstrated that thermal stochasticity had stronger effects than mean temperature, highlighting the importance of studying fluctuating conditions. Developing accessible methods to study organismal responses to environmental stochasticity is essential for improving the realism of laboratory experiments and enhancing the accuracy of physiological and ecological predictions. Résumé La stochasticité environnementale est inhérente aux écosystèmes et exacerbée par le changement climatique actuel. Cependant, les protocoles expérimentaux en laboratoire ne prennent pas en compte ce paramètre n’utilisant que des conditions cycliques ou constantes, limitant ainsi la connaissance des effets des variations environnementales sur le vivant. Cette simplification expérimentale souligne la nécessité de disposer d’outils méthodologiques performants pour contrôler les fluctuations des variables environnementales en laboratoire. Nous présentons ici un appareillage accompagné d’un guide pour générer et mettre en œuvre des conditions environnementales stochastiques grâce à un système appelé PiStoch et basé sur un Raspberry Pi. Cette méthode peu coûteuse, simple à mettre en place et évolutive permet de reproduire toute forme de variabilité au sein de mésocosmes. Ce système a reproduit avec succès des séries temporelles stochastiques lors d’expériences sur des variations de température et d’oxygène. Testé sur deux modèles biologiques différents (macrophytes et poissons d’eau douce), il a démontré qu’à moyenne égale, la stochasticité thermique avait des effets plus importants que la température constante, soulignant l’importance d’étudier ces conditions fluctuantes. Le développement de méthodes accessibles pour étudier les réponses des organismes à la stochasticité environnementale est essentiel pour améliorer le réalisme des expériences en laboratoire et accroître la précision des prédictions physiologiques et écologiques.
Journal Article