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dc.contributor.author Sudantha, BH
dc.contributor.author Manchanayaka, MALSK
dc.contributor.author Premakumara, N
dc.contributor.author Shiranthika, C
dc.contributor.author Premachandra, C
dc.contributor.author Kawanaka, H
dc.contributor.editor Karunananda, AS
dc.contributor.editor Talagala, PD
dc.date.accessioned 2022-11-10T08:43:40Z
dc.date.available 2022-11-10T08:43:40Z
dc.date.issued 2020-12
dc.identifier.citation B. H. Sudantha, M. MALSK, N. Premakumara, C. Shiranthika, C. Premachandra and H. Kawanaka, "IoT Enabled an Open Framework for Air Pollution Monitoring System," 2020 5th International Conference on Information Technology Research (ICITR), 2020, pp. 1-5, doi: 10.1109/ICITR51448.2020.9310838. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19473
dc.description.abstract Blessing with fresh air to breathe is one of the primary living requirements of the Human being. Nowadays, majority of the countries in the world are suffering from the problem of Air pollution. This problem is getting worse day by day because of rapid economic growth, industrialization, urbanization and the resulting rise in energy demand. Air pollution has been become one of the primary concern in Sri Lanka. In most of the Sri Lankan cities, the primary cause for the air pollution is the lack of the prevalence of proper environmental regulations. Although the scientific evaluation of such technologies and systems is generally recognized as a significant facet of open source technologies and their implementation, it is often underexplored in science. This research provides an integrated approach to the development of an Environmental Monitoring System prototype based on open source hardware and software and to track the reliability of the system in terms of data accuracy. This system is able to measure six environmental parameters namely air temperature, air CO Percentage, air NO 2 percentage, air O 3 percentage, air PM percentage and air SO 2 percentage. This research has shown a promising way to create a dense coverage for more cost-effective monitoring of environmental phenomena. Most of the existing monitoring systems for air pollution have inferior accuracy, low sensitivity and require laboratory study. Our implemented system is a three-phase air pollution monitoring system, which have drastically shown improvements over the existing methodologies combining with the Internet of Things (IOT). en_US
dc.language.iso en en_US
dc.publisher Faculty of Information Technology, University of Moratuwa. en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9310838 en_US
dc.subject Air pollution monitoring en_US
dc.subject IOT en_US
dc.subject Open-source en_US
dc.subject Real time data en_US
dc.title Iot enabled an open framework for air pollution monitoring system en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2020 en_US
dc.identifier.conference 5th International Conference in Information Technology Research 2020 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.proceeding Proceedings of the 5th International Conference in Information Technology Research 2020 en_US
dc.identifier.doi doi: 10.1109/ICITR51448.2020.9310838 en_US


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  • ICITR - 2020 [27]
    International Conference on Information Technology Research (ICITR)

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