Reprint

Open-Source Electronics Platforms

Open-Source Electronics Platforms

Edited by
May 2019
262 pages
  • ISBN978-3-03897-972-2 (Paperback)
  • ISBN978-3-03897-973-9 (PDF)

This book is a reprint of the Special Issue Open-Source Electronics Platforms: Development and Applications that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Summary

Open-source electronics are becoming very popular, and are integrated with our daily educational and developmental activities. At present, the use open-source electronics for teaching science, technology, engineering, and mathematics (STEM) has become a global trend. Off-the-shelf embedded electronics such as Arduino- and Raspberry-compatible modules have been widely used for various applications, from do-it-yourself (DIY) to industrial projects. In addition to the growth of open-source software platforms, open-source electronics play an important role in narrowing the gap between prototyping and product development. Indeed, the technological and social impacts of open-source electronics in teaching, research, and innovation have been widely recognized.

Format
  • Paperback
License
© 2019 by the authors; CC BY-NC-ND license
Keywords
human-computer interface (HCI); electrooculogram (EOG); electromyogram (EMG); modified sliding window algorithm; piecewise linear approximation (PLA); support vector regression; eye tracking; blockchain; ontology; context; cyber-physical systems; robotics; interaction; coalition; individual management of livestock; momentum data sensing; remote sensing platform; sensor networks; technology convergence; industry 4.0; distributed measurement systems; automation networks; node-RED; cloud computing; OPC UA; hardware trojan taxonomy; thermal imaging; side channel analysis; infrared; FPGA; Internet of Things; wireless sensor networks; Cloud of Things; virtual sensor; sensor detection; smart cities; Internet of Things; Raspberry Pi; BeagleBoard; Arduino; Internet of Things; open hardware; smart farming; teaching robotics; science teaching; STEM; robotic tool; Python; Raspberry Pi; PiCamera; vision system; service learning; robotics; open platform; automated vehicle; EPICS; open-source platform; visual algorithms; digital signal controllers; embedded systems education; dsPIC; Java; smart converter; maximum power point tracking (MPPT); photovoltaic (PV) system; Field Programmable Gate Array (FPGA); Digital Signal Processor (DSP); interleaved; DC/DC converter; distributed energy resource; n/a