A Hybrid VLC-RF Portable Phasor Measurement Unit for Deep Tunnels

Autor: Ismael Soto, Rafael Nilson Rodrigues, Gabriel Massuyama, Fabian Seguel, Pablo Palacios Játiva, Cesar A. Azurdia-Meza, Nicolas Krommenacker

Publikováno v: Sensors, Vol 20, Iss 3, p 790 (2020)

In this manuscript we propose a hybrid Visible Light Communication and Radio Frequency (VLC-RF) scheme for the implementation of a portable Phaser Measurement Unit (PMU) for deep underground tunnels. Through computer simulations and laboratory measur

Externí odkaz: https://doaj.org/article/85ce1f5300a84980b284c4bd80030453

Unsupervised machine learning in industrial applications: a case study in iron mining

Autor: Edison Antonio Cardoso Aranha Neto, Rafael Nilson Rodrigues, Leonardo Santiago Benitez Pereira

Publikováno v: 2020 IEEE Bombay Section Signature Conference (IBSSC).

The volume of data collected in the industry has grown rapidly in recent years, transforming into a challenge the task of analyzing this data. To identify patterns and improve industrial processes, several Artificial Intelligence techniques can be us

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f74fa5c10fefbbc5c052732b9574560f
https://doi.org/10.1109/ibssc51096.2020.9332174

A Hybrid VLC-RF Portable Phasor Measurement Unit for Deep Tunnels

Autor: Pablo Palacios Jativa, Gabriel Massuyama, Ismael Soto, Nicolas Krommenacker, Rafael Nilson Rodrigues, Fabian Seguel, Cesar A. Azurdia-Meza

Publikováno v: Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 3, p 790 (2020)
Sensors
Sensors, MDPI, 2020, 20 (3), pp.790. ⟨10.3390/s20030790⟩
Volume 20
Issue 3

International audience; In this manuscript we propose a hybrid Visible Light Communication and Radio Frequency (VLC-RF) scheme for the implementation of a portable Phaser Measurement Unit (PMU) for deep underground tunnels. Through computer simulatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c202b83bdb8f085e5ec72d3800b35a79
https://pubmed.ncbi.nlm.nih.gov/32023989

Machine Learning Applied to Energy Efficiency of Large Consumers

Autor: Neto e E. A. C. Aranha, G. A. Massuyama, Leonardo Santiago Benitez Pereira, Rafael Nilson Rodrigues

Publikováno v: 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON).

The use of electric energy is rapidly increasing, so it is essential that users improve their understanding of electric consumption, thus reducing waste and improper use. The present work uses Machine Learning techniques (specifically Linear Regressi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4af1ddddd96ab2bcd62b03b538ce3c5e
https://doi.org/10.1109/chilecon47746.2019.8988016

Facing the data analysis complexity for the energetic efficiency management at great copper mining, in Codelco Chuquicamata, Chile

Autor: Raúl Carrasco, Sebastian Gutierrez, Rafael Nilson Rodrigues, Manuel Vargas, Guillermo Fuertes, Carolina Lagos

Publikováno v: 2016 IEEE International Conference on Automatica (ICA-ACCA).

This study is centered in the complexity of the data analysis for the management of the energetic efficiency in the productive processes of copper. For that the study is divided in two stages, in the first one, through a process of hierarchical analy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8cde8bdf403faa1746b9c8c7ec4b0c2d
https://doi.org/10.1109/ica-acca.2016.7778482