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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Intelligent retrieval of ambient air quality |
| Authors Name: | Mr.T.Thirunavukkarasu , R.Ahalya , J.Amulpriya , S.K.Karthikeyan |
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IJRTI_182515
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| Published Paper Id: | IJRTI2206273 |
| Published In: | Volume 7 Issue 6, June-2022 |
| DOI: | |
| Abstract: | Air quality prediction focuses mainly on industrial areas.Major air pollutants include particulate pollution, carbon monoxide (CO), Sulphur-di-oxide (SO2) and nitrogen oxide (NO2) by WHO Results. In addition to these mentioned gases, PM or Particulate Matter and VOC or Volatile Organic Compounds components also cause serious threats. Long and short-term exposure to air suspended toxicants has a different toxicological impact on humans. Some of the diseases include asthma, bronchitis, some cardiovascular diseases, and long-term chronic diseases such as cancer, lung damage and in extreme cases diseases like pulmonary fibrosis. In this proposed system, an IoT prototype of a large-scale system which uses highend sensors that measures the various air pollutants in the atmosphere is designed. Gas sensors are used in this prototype to record the concentration of the various pollutants that are encountered in the air on a regular basis.The framework uses stored data to train the model using Resnet(Residual Network)algorithmin the local system. The real time data obtained using the different sensors is tested and the results obtained would be used to predict the possibilities of diseases such as asthma, lung cancer, ventricular hypertrophy etc. and the Air Quality Index (AQI) are calculated. In addition to this, predicted disease can be displayed in LCD and AQI values can be obtained by graphical representation through website. Predicated disease can be conveyed to the people using speaker. |
| Keywords: | Machine Learning (ML), Internet of Things(IoT),carbon Monoxide(CO),Nitrogen Oxide (NO), Ammonia(NH3) |
| Cite Article: | "Intelligent retrieval of ambient air quality", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1830 - 1834, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206273.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2206273
Registration ID:182515
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 1830 - 1834 Country: Dharmapuri, Tamil Nadu, India Research Area: Environmental Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206273 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206273 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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