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) 
Glória, A. & Sebastião, P. (2019). Temperature distribution analyses with wireless sensor networks and machine learning. In 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI). Lisbon, Portugal: IEEE.
Exportar Referência (IEEE) 
A. F. Glória and P. J. Sebastião,  "Temperature distribution analyses with wireless sensor networks and machine learning", in 2019 Int. Conf. on Sensing and Instrumentation in IoT Era (ISSI), Lisbon, Portugal, IEEE, 2019
Exportar BibTeX 
@inproceedings{glória2019_1717297782128,
	author = "Glória, A. and Sebastião, P.",
	title = "Temperature distribution analyses with wireless sensor networks and machine learning",
	booktitle = "2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI)",
	year = "2019",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ISSI47111.2019.9043682",
	publisher = "IEEE",
	address = "Lisbon, Portugal",
	organization = "IEEE",
	url = "https://ieeexplore.ieee.org/xpl/conhome/9035668/proceeding"
}
Exportar RIS 
TY  - CPAPER
TI  - Temperature distribution analyses with wireless sensor networks and machine learning
T2  - 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI)
AU  - Glória, A.
AU  - Sebastião, P.
PY  - 2019
DO  - 10.1109/ISSI47111.2019.9043682
CY  - Lisbon, Portugal
UR  - https://ieeexplore.ieee.org/xpl/conhome/9035668/proceeding
AB  - This paper introduces a new way to analyze temperature distribution from an air conditioning unit inside an office using Wireless Sensor Networks and Machine Learning algorithms. The system is able to retrieve real time temperature data and use it to analyze if the air conditioning unit is influencing the temperature inside an office using the temperature difference from various points inside the office. Besides the system architecture, this paper includes a real case scenario implementation and a comparison and discussion of the result for the multiple Machine Learning algorithms applied to categorize if the air conditioner is affecting the office temperature.
ER  -