Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Rodrigues, M. J., Postolache, O. & Cercas, F. (2019). Indoor air quality monitoring system to prevent the triggering of respiratory distress. In 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI). Lisbon, Portugal: IEEE.
Exportar Referência (IEEE) 
M. C. Rodrigues et al.,  "Indoor air quality monitoring system to prevent the triggering of respiratory distress", in 2019 Int. Conf. on Sensing and Instrumentation in IoT Era (ISSI), Lisbon, Portugal, IEEE, 2019
Exportar BibTeX 
@inproceedings{rodrigues2019_1730849316750,
	author = "Rodrigues, M. J. and Postolache, O. and Cercas, F.",
	title = "Indoor air quality monitoring system to prevent the triggering of respiratory distress",
	booktitle = "2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI)",
	year = "2019",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ISSI47111.2019.9043669",
	publisher = "IEEE",
	address = "Lisbon, Portugal",
	organization = "IEEE",
	url = "https://ieeexplore.ieee.org/xpl/conhome/9035668/proceeding"
}
Exportar RIS 
TY  - CPAPER
TI  - Indoor air quality monitoring system to prevent the triggering of respiratory distress
T2  - 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI)
AU  - Rodrigues, M. J.
AU  - Postolache, O.
AU  - Cercas, F.
PY  - 2019
DO  - 10.1109/ISSI47111.2019.9043669
CY  - Lisbon, Portugal
UR  - https://ieeexplore.ieee.org/xpl/conhome/9035668/proceeding
AB  - In this paper, an indoor air quality monitoring system based on a wireless sensor network (WSN) and compatible with the internet of things (IoT) is presented. By providing relevant information about indoor air conditions, the system may help to prevent the triggering of respiratory distresses, such as an asthma crisis, by highlighting critical air quality conditions. The sensor network contains several sensing nodes with temperature, humidity, gas and particulate matter sensors, and a set of actuators that will help improve indoor’s thermal comfort and lighting quality. A Web-based application was developed to provide data analysis, system control and alert mechanisms for asthma attacks prevention. A smart lighting system was implemented to generate visual alert mechanisms and improve indoor’s lighting comfort.
ER  -