A Test Bed for Evaluating Graphene Filters in Indoor Environments
Lecture Notes in Networks and Systems, ISSN: 2367-3389, Vol: 497 LNNS, Page: 94-104
2022
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Conference Paper Description
Air pollution has been proved to be responsible for several health hazards. This is particularly an issue for indoor environments, where people usually spend most of their time. The research in air purifiers is then becoming more and more important to guarantee healthier indoor environments. A new class of air filters based on graphene can represent a valid solution thanks to the capability to filter out very small particles, like PM1, particularly harmful to health. The aim of the research presented is to evaluate the performance of different configurations of graphene-based filters. This paper describes the test bed designed to evaluate the filters. The testbed is a home automation IoT-Cloud prototype able to dynamically set up variable values of voltage or current filters, according to different user defined profile, thus changing the filtering capacity that depends on the crossing electricity. Finally, results obtained using different filter configurations are reported.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85132965627&origin=inward; http://dx.doi.org/10.1007/978-3-031-08812-4_10; https://link.springer.com/10.1007/978-3-031-08812-4_10; https://dx.doi.org/10.1007/978-3-031-08812-4_10; https://link.springer.com/chapter/10.1007/978-3-031-08812-4_10
Springer Science and Business Media LLC
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