Raspberry Pi technology / / Simon J. Cox, Steven J. Johnston.

• VerfasserIn: Cox, Simon J.,; Johnston, Steven J.,
• TeilnehmendeR: Johnston, Steven J.,
• Place / Publishing House: Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, [2017]; ©2017
• Year of Publication: 2017
• Language: English
• Physical Description: 1 electronic resource (VIII, 296 p.)

The Raspberry Pi Foundation aims to promote the teaching of Computer Science and released the first Raspberry Pi device in February 2012. It is often referred to as a Single Board Computer (SBC), meaning that it runs a full operating system and has sufficient peripherals to start execution without additional hardware. Although other Single Board Computers (SBC) existed before, the Raspberry Pi Foundation made the SBC accessible to almost anyone, introducing not just a low-cost computer, but one that can bridge the gap to the physical world via standard electronic interfaces; controlled programmatically from the operating system. This has led to the popularity of the Raspberry Pi, not only in education but with industry, hobbyists, prototype builders, gamers and the curious, and it has enabled people to experiment in new ways. In this book, we show how the Raspberry Pi is being used for specific research prototypes; to construct testbeds; applied to Internet of Things applications, as well as educational contexts.

Table of Contents

About the Special Issue Editors -- Preface to "Raspberry Pi Technology" -- Steven J Johnston and Simon J Cox, The Raspberry Pi: A Technology Disrupter, and the Enabler of Dreams, Reprinted from: Electronics 2017, 6(3), 51; doi: 10.3390/electronics6030051 -- Michael Kölling, Educational Programming on the Raspberry Pi, Reprinted from: Electronics 2016, 5(3), 33; doi: 10.3390/electronics5030033 -- Xiaoyang Zhong and Yao Liang, Pi: An Effective Vehicle in Teaching the Internet of Things in Computer Science and Engineering, Reprinted from: Electronics 2016, 5(3), 56; doi: 10.3390/electronics5030056 -- Rebecca M. Reck and R. S. Sreenivas Developing an Affordable and Portable Control Systems Laboratory Kit with a Raspberry Pi, Reprinted from: Electronics 2016, 5(3), 36; doi: 10.3390/electronics5030036 -- Juan Emilio Noriega-Linares and Juan Miguel Navarro Ruiz, On the Application of the Raspberry Pi as an Advanced Acoustic Sensor Network for Noise Monitoring, Reprinted from: Electronics 2016, 5(4), 74; doi: 10.3390/electronics5040074 -- Isidro Calvo, José Miguel Gil-García, Igor Recio, Asier López and Jerónimo Quesada, Building IoT Applications with Raspberry Pi and Low Power IQRF Communication Modules, Reprinted from: Electronics 2016, 5(3), 54; doi: 10.3390/electronics5030054 -- Philip J. Basford, Graeme M. Bragg, Jonathon S. Hare, Michael O. Jewell, Kirk Martinez, David R. Newman, Reena Pau, Ashley Smith and Tyler Ward, Erica the Rhino: A Case Study in Using Raspberry Pi Single Board Computers for Interactive Art, Reprinted from: Electronics 2016, 5(3), 35; doi: 10.3390/electronics5030035 -- Michael F. Cloutier, Chad Paradis and Vincent M. Weaver, A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement, Reprinted from: Electronics 2016, 5(4), 61; doi: 10.3390/electronics5040061 -- Argyrios Samourkasidis and Ioannis N. Athanasiadis, A Miniature Data Repository on a Raspberry Pi, Reprinted from: Electronics 2017, 6(1), 1; doi: 10.3390/electronics6010001 -- Chres W. Sørensen, Néstor J. Hernández Marcano, Juan A. Cabrera Guerrero, Simon Wunderlich, Daniel E. Lucani and Frank H. P. Fitzek, Easy as Pi: A Network Coding Raspberry Pi Testbed, Reprinted from: Electronics 2016, 5(4), 67; doi: 10.3390/electronics5040067 -- Néstor J. Hernández Marcano, Chres W. Sørensen, Juan A. Cabrera G., Simon Wunderlich, Daniel E. Lucani and Frank H. P. Fitzek, On Goodput and Energy Measurements of Network Coding Schemes in the Raspberry Pi, Reprinted from: Electronics 2016, 5(4), 66; doi: 10.3390/electronics5040066 -- Wajdi Hajji and Fung Po Tso, Understanding the Performance of Low Power Raspberry Pi Cloud for Big Data, Reprinted from: Electronics 2016, 5(2), 29; doi: 10.3390/electronics5020029 -- Jochen Schlobohm, Andreas Pösch and Eduard Reithmeier, A Raspberry Pi Based Portable Endoscopic 3D Measurement System, Reprinted from: Electronics 2016, 5(3), 43; doi: 10.3390/electronics5030043 -- Vittorio Pasquali, Riccardo Gualtieri, Giuseppe D'Alessandro, Maria Granberg, David Hazlerigg, Marco Cagnetti and Fabio Leccese, Monitoring and Analyzing of Circadian and Ultradian Locomotor Activity, Based on Raspberry-Pi, Reprinted from: Electronics 2016, 5(3), 58; doi: 10.3390/electronics5030058 -- Fabio Leccese, Marco Cagnetti, Stefano Di Pasquale, Sabino Giarnetti and Maurizio Caciotta, A New Power Quality Instrument Based on Raspberry-Pi, Reprinted from: Electronics 2016, 5(4), 64; doi: 10.3390/electronics5040064 -- Ulf Jennehag, Stefan Forsstrom and Federico V. Fiordigigli, Low Delay Video Streaming on the Internet of Things Using Raspberry Pi, Reprinted from: Electronics 2016, 5(3), 60; doi: 10.3390/electronics5030060 -- Matic Virant and Miha Ambrož, Universal Safety Distance Alert Device for Road Vehicles, Reprinted from: Electronics 2016, 5(2), 19; doi: 10.3390/electronics5020019 -- Tushar Semwal and Shivashankar Bhaskaran Nair, AgPi: Agents on Raspberry Pi, Reprinted from: Electronics 2016, 5(4), 72; doi: 10.3390/electronics5040072 -- James Coates, Andrew Chipperfield and Geraldine Clough, Wearable Multimodal Skin Sensing for the Diabetic Foot, Reprinted from: Electronics 2016, 5(3), 45; doi: 10.3390/electronics5030045.