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  4. Design of an Underwater Mechatronics System for Detecting Dissolved Solids in Water
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Design of an Underwater Mechatronics System for Detecting Dissolved Solids in Water

Journal
2024 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)
Publisher
IEEE
Date Issued
2024
Author(s)
Estudillo, Eduardo
Facultad de Ingeniería - CampCM  
Bautista, Luis
Facultad de Ingeniería - CampCM  
Cardenas, Gerardo
Facultad de Ingeniería - CampCM  
Mendoza, Aura
Facultad de Ingeniería - CampCM  
Perez, Francisco
Facultad de Ingeniería - CampCM  
Hernandez, Felix
Facultad de Ingeniería - CampCM  
Ponce, Hiram  
Facultad de Ingeniería - CampCM  
Moya-Albor, Ernesto  
Facultad de Ingeniería - CampCM  
Brieva, Jorge  
Facultad de Ingeniería - CampCM  
Type
text::conference output::conference proceedings::conference paper
DOI
10.1109/ICMLANT63295.2024.00028
URL
https://scripta.up.edu.mx/handle/20.500.12552/12090
Abstract
Marine pollution has been one of the most important problems we need to address in modern days, as it can cause an imbalance in the marine life of a body of water. This work presents a proof-of-concept of an underwater unmanned autonomous vehicle for detecting dissolved solids. The system was designed based on the mechatronics engineering model, so that it can move around a body water while measures the solid particles in water. The preliminary results are promising, and we anticipate the use of this low-cost system to help measuring water pollution in near city body waters. ©The authors ©IEEE.
Subjects

Solid modeling

Mechatronics

Atmospheric measureme...

Marine pollution

Urban areas

Solids

Particle measurements...

Water pollution

Pollution measurement...

Robots

License
Acceso Restringido
URL License
https://creativecommons.org/licenses/by-nc-sa/4.0/
How to cite
Estudillo, E., Bautista, L., Cardenas, G., Mendoza, A., Perez, F., Hernandez, F., Ponce, H., Moya-Albor, E., & Brieva, J. (2024). Design of an Underwater Mechatronics System for Detecting Dissolved Solids in Water. In 2024 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) (pp. 132–137). 2024 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT). IEEE. https://doi.org/10.1109/icmlant63295.2024.00028

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