Steven J. Johnston

TL;DR: Low-cost PM sensors may be suitable for PM monitoring where reference-standard equipment is not available or feasible, and that they may be useful in studying spatially localised airborne PM concentrations.

TL;DR: This paper reports on the “Iridis-Pi” cluster, which consists of 64 Raspberry Pi Model B nodes each equipped with a 700 MHz ARM processor, 256 Mbit of RAM and a 16 GiB SD card for local storage and believes that the choice of an ARM CPU foreshadows a trend towards the increasing adoption of low-power, non-PC-compatible architectures in high performance clusters.

TL;DR: The study concludes that (i) the physical device developed can operate at a city scale; (ii) some low-cost PM sensors are viable for monitoring AQ and for detecting PM trends; and (iii) LoRaWAN is suitable for city scale sensor coverage where connectivity is an issue.

TL;DR: The SBC cluster is a new and distinct computational deployment paradigm, which is applicable to a wider range of scenarios than current clusters, and facilitates Internet of Things and Smart City systems and is potentially a game changer in pushing application logic out towards the network edge.

TL;DR: The Raspberry Pi Foundation aims to promote the teaching of Computer Science and is inspired by devices such as the ZX81 and Spectrum, the first home computers from the 1980s, and government backed in-school devices.