{"title":"基于物联网的室内空气污染物灰色关联评价系统","authors":"Krati Rastogi, Divya Lohani, D. Acharya","doi":"10.1109/COMSNETS48256.2020.9027308","DOIUrl":null,"url":null,"abstract":"Determination of Indoor Air Quality (IAQ) requires measurement and analysis of all the indoor air parameters. Often, the contribution of some parameters is substantial while that of others is meagre. This work aims to develop an IoT system for monitoring the concentrations of indoor air pollutants. Grey Relational Analysis (GRA) is then used to evaluate all the measured indoor air pollutants and select the ones which influence IAQ the most. The selected parameters are then used to build IAQ forecast model using Artificial Neural Networks (ANN). The accuracy of the ANN based forecast model is measured using mean absolute percentage error (MAPE) and coefficient of determination.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"268 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An IoT-based System to Evaluate Indoor Air Pollutants Using Grey Relational Analysis\",\"authors\":\"Krati Rastogi, Divya Lohani, D. Acharya\",\"doi\":\"10.1109/COMSNETS48256.2020.9027308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Determination of Indoor Air Quality (IAQ) requires measurement and analysis of all the indoor air parameters. Often, the contribution of some parameters is substantial while that of others is meagre. This work aims to develop an IoT system for monitoring the concentrations of indoor air pollutants. Grey Relational Analysis (GRA) is then used to evaluate all the measured indoor air pollutants and select the ones which influence IAQ the most. The selected parameters are then used to build IAQ forecast model using Artificial Neural Networks (ANN). The accuracy of the ANN based forecast model is measured using mean absolute percentage error (MAPE) and coefficient of determination.\",\"PeriodicalId\":265871,\"journal\":{\"name\":\"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)\",\"volume\":\"268 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMSNETS48256.2020.9027308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSNETS48256.2020.9027308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An IoT-based System to Evaluate Indoor Air Pollutants Using Grey Relational Analysis
Determination of Indoor Air Quality (IAQ) requires measurement and analysis of all the indoor air parameters. Often, the contribution of some parameters is substantial while that of others is meagre. This work aims to develop an IoT system for monitoring the concentrations of indoor air pollutants. Grey Relational Analysis (GRA) is then used to evaluate all the measured indoor air pollutants and select the ones which influence IAQ the most. The selected parameters are then used to build IAQ forecast model using Artificial Neural Networks (ANN). The accuracy of the ANN based forecast model is measured using mean absolute percentage error (MAPE) and coefficient of determination.
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