نمایش مختصر رکورد

dc.contributor.authorPartheeban, P.en_US
dc.contributor.authorRani Hemamalini, R.en_US
dc.contributor.authorShanthini, B.en_US
dc.date.accessioned1399-07-08T18:31:42Zfa_IR
dc.date.accessioned2020-09-29T18:31:42Z
dc.date.available1399-07-08T18:31:42Zfa_IR
dc.date.available2020-09-29T18:31:42Z
dc.date.issued2019-10-01en_US
dc.date.issued1398-07-09fa_IR
dc.date.submitted2019-06-10en_US
dc.date.submitted1398-03-20fa_IR
dc.identifier.citationPartheeban, P., Rani Hemamalini, R., Shanthini, B.. (2019). Indoor air quality monitoring in urban areas using Smart Sensing Technology. International Journal of Human Capital in Urban Management, 4(4), 311-320. doi: 10.22034/IJHCUM.2019.04.07en_US
dc.identifier.issn2476-4698
dc.identifier.issn2476-4701
dc.identifier.urihttps://dx.doi.org/10.22034/IJHCUM.2019.04.07
dc.identifier.urihttp://www.ijhcum.net/article_37193.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/46118
dc.description.abstractRecently, indoor air quality has attracted the attention of policymakers and researchers as a critical issue like that of external air pollution. Indoor air quality is more important as people spend time longer indoors than outdoors. Indoor environments are closed compared to external environments providing less opportunity for the pollutants to dilute. The emissions contain many substances that are harmful to humans when exposed for a prolonged period or to certain levels of concentration. Internet of Things (IoT) technology is best and low-cost method of measuring air pollution. This paper proposes an IoT technology for an indoor air quality monitoring system to monitor urban homes. The pollution level observed in the Kodungayur (location 8) and Manali (location 9) exceeds the standards.  Maximum outdoor pollution observed value of CO, SO<sub>2</sub>, NO<sub>2</sub> and PM.25 are 9.2, 0.135, 0.102 and 0.215 respectively. Similarly, the indoor pollution levels are varying from 10% to 15 % lesser than that of the outdoor pollution values. The percentage of error varied from – 2.94% to + 2.94%. The percentage of error is within ± 5%, which shows its robustness. Outdoor air pollution does not influence indoor air pollution is the result of this study.en_US
dc.format.extent763
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.publisherMunicipality of Tehranen_US
dc.relation.ispartofInternational Journal of Human Capital in Urban Managementen_US
dc.relation.isversionofhttps://dx.doi.org/10.22034/IJHCUM.2019.04.07
dc.subjectGlobal Positioning Systemen_US
dc.subjectGlobal System for Mobileen_US
dc.subjectinternet of thingsen_US
dc.subjectIndoor Air Quality (IAQ)en_US
dc.subjectsmart sensorsen_US
dc.subjectUrban housesen_US
dc.subjectUrban ecology and related environmental concernsen_US
dc.subjectUrban social and cultural welfareen_US
dc.titleIndoor air quality monitoring in urban areas using Smart Sensing Technologyen_US
dc.typeTexten_US
dc.typeSHORT COMMUNICATIONen_US
dc.contributor.departmentDepartment of civil Engineering, St. Peter's College of Engineering and Technology, Chennai, Tamil Nadu, Indiaen_US
dc.contributor.departmentDepartment of Electrical and Electronics Engineering, St. Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu, Indiaen_US
dc.contributor.departmentDepartment of Information Technology, St. Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu, Indiaen_US
dc.citation.volume4
dc.citation.issue4
dc.citation.spage311
dc.citation.epage320
nlai.contributor.orcid0000-0003-4345-0741


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