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2. Indoor Air Quality: An Emerging Problem Domain

Author

Saini, Jagriti, Dutta, Maitreyee, Marques, Gonçalo, Fortino, Giancarlo, Series Editor, Liotta, Antonio, Series Editor, Saini, Jagriti, editor, Dutta, Maitreyee, editor, Marques, Gonçalo, editor, and Halgamuge, Malka N., editor

Published
2022
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17. List of contributors

Author

Adeniyi, Adewale George, primary, Ahammed, M. Mansoor, additional, Aniagor, Chukwunonso O., additional, Balanescu, Mihaela, additional, Baskaran, Divya, additional, Berenjkar, Kiana, additional, Birdici, Andrei, additional, Bolade, Oladotun Paul, additional, Crucianu, Iacob, additional, Danandeh Mehr, Ali, additional, Drosu, Alexandru, additional, Dutta, Maitreyee, additional, Egbedina, Abisola Opeyemi, additional, Ejimofor, Marcel I., additional, Elbeltagi, Ahmed, additional, Eloka-Eboka, Andrew C., additional, Ewuzie, Ugochukwu, additional, Ezeliora, Chukwuemeka Daniel, additional, Golizadeh Akhlaghi, Yousef, additional, Goodarzi, Erfan, additional, Heddam, Salim, additional, Ighalo, Joshua O., additional, Igwegbe, Chinenye Adaobi, additional, Iordache, George, additional, Iskandaryan, Ditsuhi, additional, Kim, Sungwon, additional, Kisi, Ozgur, additional, Koch, Thomas, additional, Malik, Anurag, additional, Marques, Gonçalo, additional, Menkiti, Matthew C., additional, Moradi, Mohammad Hossein, additional, Musonge, Paul, additional, Oba, Stephen N., additional, Okoji, Anthony Ikechukwu, additional, Okoro, Emmanuel Emeka, additional, Oni, Babalola Aisosa, additional, Onukwuli, Okechukwu Dominic, additional, Onyechi, Pius Chukwukelue, additional, Poenaru, Carmen, additional, Rajamanickam, Ravi, additional, Rajski, Krzysztof, additional, Ramos, Francisco, additional, Sadiku, Emmanuel Rotimi, additional, Saini, Jagriti, additional, Sandu Pasat, Adrian, additional, Sanni, Samuel Eshorame, additional, Sayyaadi, Hoseyn, additional, Shahverdian, Mohammad Hassan, additional, Sohani, Ali, additional, Suciu, George, additional, Taiwo, Abiola Ezekiel, additional, Tandel, Bhaven, additional, Trilles, Sergio, additional, Ugonabo, Victor I., additional, Wagner, Uwe, additional, Yadav, Manoj, additional, Zabihigivi, Mitra, additional, and Zounemat-Kermani, Mohammad, additional

Published
2022
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20. Particulate Matter Assessment in Association with Temperature and Humidity: An Experimental Study on Residential Environment

Author

Saini, Jagriti, Dutta, Maitreyee, Marques, Gonçalo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Dutta, Maitreyee, editor, Krishna, C. Rama, editor, Kumar, Rakesh, editor, and Kalra, Mala, editor

Published
2020
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21. Internet of Things for Enhanced Living Environments, Health and Well-Being: Technologies, Architectures and Systems

Author

Marques, Gonçalo, Saini, Jagriti, Pires, Ivan Miguel, Miranda, Nuno, Pitarma, Rui, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Singh, Pradeep Kumar, editor, Bhargava, Bharat K., editor, Paprzycki, Marcin, editor, Kaushal, Narottam Chand, editor, and Hong, Wei-Chiang, editor

Published
2020
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35. A novel application of fuzzy inference system optimized with particle swarm optimization and genetic algorithm for PM10 prediction.

Author

Saini, Jagriti, Dutta, Maitreyee, and Marques, Gonçalo

Subjects
*FUZZY logic, *FUZZY systems, *MATHEMATICAL optimization, *INDOOR air quality, *AIR pollutants, *NATURAL ventilation, *GENETIC algorithms
Abstract

Indoor air quality (IAQ) is a significant concern for occupant comfort, productivity levels, health, and well-being. The presence of harmful chemicals, inhalable particles, and toxic materials can be ten times worse as compared to outdoor air pollution. The increased concentration of PM10 pollutants in the indoor environment is a serious threat to human health in terms of critical respiratory health issues. Literature supports the application of artificial intelligence for the prediction of pollutant concentrations in building environments. In this paper, we proposed a novel application of fuzzy inference system (FIS) optimized using particle swarm optimization (PSO) and genetic algorithm (GA) for forecasting PM10 concentration. The study was conducted on experimental data obtained from an Internet of Things-based IAQ monitoring system. The real-time monitoring system measures four indoor air pollutants: PM10, PM2.5, CO2, and VOC, along with two crucial thermal comfort parameters (Temperature and Humidity). The forecasting performance of the FIS with normalized dataset was measured in terms of MSE = 4.3656; MAE = 1.9351; MAPE = 9.633% and RMSE = 2.0894. Two optimization algorithms have improved RMSE FIS-PSO = 1.0746; and FIS-GA = 0.998. The optimized FIS can be used to develop real-time air quality prediction systems for indoor environments to promote health and well-being for building occupants. [ABSTRACT FROM AUTHOR]

Published
2022
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46. Modeling indoor PM2.5using Adaptive Dynamic Fuzzy Inference System Tree (ADFIST) on Internet of Things-based sensor network data

Author

Saini, Jagriti, Dutta, Maitreyee, and Marques, Gonçalo

Abstract

Indoor air pollution is crucial for the building environment as it has a direct impact on human health, prosperity, comfort, and productivity levels. Repeated exposure to toxic materials and harmful chemicals leaves a considerable impact on occupant well-being. The degraded air quality in the indoor environment is closely connected to the rising cases of respiratory health issues, cardiovascular disease, lung cancer, and a wide spectrum of symptoms. Therefore, it is required to design a reliable system to assess indoor air quality (IAQ) in residential and commercial spaces to improve the health outcomes and productivity levels of the building occupants. The main contribution of this paper is to provide a rigorous design and development approach for the IAQ monitoring system using the Internet of Things-based sensor network. Furthermore, a forecasting model was designed using Adaptive Dynamic Fuzzy Inference System Tree to predict PM2.5conditions in the target building environment. The performance of the proposed system is tested over multiple datasets obtained from different rural and urban locations; moreover, the findings are further validated against benchmark datasets. The updates about real-time IAQ conditions in the target building environment were made accessible to occupants via an online web portal, and the entire system was named “Vayuveda” – an approach for enhanced air quality in the living spaces. The authors tested multiple methods at every step of the development process and compared performance at each stage to come out with the best model for real-time IAQ assessment.

Published
2022
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