Open-Source Electronics Platforms

Ngo, Trung Dung

doi:10.3390/books978-3-03897-973-9

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https://mdpi.com/books/pdfview/book/1299

Author(s)

Ngo, Trung Dung

Language

English

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Abstract

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.

URI

https://directory.doabooks.org/handle/20.500.12854/55271

Keywords

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