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Philip J. Basford

Researcher at University of Southampton

Publications -  28
Citations -  595

Philip J. Basford is an academic researcher from University of Southampton. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 11, co-authored 26 publications receiving 452 citations.

Papers
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Journal ArticleDOI

Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment

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.
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City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices

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.
Journal ArticleDOI

Commodity single board computer clusters and their applications

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.
Proceedings ArticleDOI

Reflectance transformation imaging systems for ancient documentary artefacts

TL;DR: This paper discusses the interim results of the AHRC RTISAD project, which has developed and tested a range of techniques for gathering and processing reflectance transformation imaging (RTI) data and identifies on-going software development work of value to the broad EVA community and proposes further enhancements.
Journal ArticleDOI

Performance analysis of single board computer clusters

TL;DR: The improvements in SBC cluster performance and construction techniques mean that these SBC clusters are realising their potential as valuable developmental edge compute devices rather than just educational curiosities.