Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Néstor Diego Rivera Campoverde"'
Publikováno v:
Sensors, Vol 24, Iss 7, p 2304 (2024)
This paper focuses on the emissions of the three most sold categories of light vehicles: sedans, SUVs, and pickups. The research is carried out through an innovative methodology based on GPS and machine learning in real driving conditions. For this p
Externí odkaz:
https://doaj.org/article/14a04e0f4f0f4fc19e8cd4ccd5265383
Publikováno v:
Sensors, Vol 21, Iss 19, p 6344 (2021)
This article proposes a methodology for the estimation of emissions in real driving conditions, based on board diagnostics data and machine learning, since it has been detected that there are no models for estimating pollutants without large measurem
Externí odkaz:
https://doaj.org/article/f5380416471e4b369c67db7cb61eef53
Autor:
Joselyn Elizabeth Morales Espinoza, Paúl Andrés Molina Campoverde, Gina P. Novillo, Néstor Diego Rivera Campoverde, Gabriel Moisés Rodriguez Fernandez
Publikováno v:
Materials Today: Proceedings. 49:8-15
This paper has the purpose of estimating the NOx (Nitrous Oxides) emissions of vehicles equipped with ignition engines caused during the start-up of road slope. Studies currently carried out are scarce on driving right after start-up and its influenc
Autor:
Paúl Andrés Molina Campoverde, William Fernando Ortiz Valverde, Bryan Michael Serrano Ortiz, Néstor Diego Rivera Campoverde, Gina Pamela Novillo Quirola
Publikováno v:
Materials Today. Proceedings
At the end of 2019 in Wuhan China city, the outbreak of the virus called SARS-CoV 2 was originated, which later became a pandemic. In Ecuador, patient zero arrived on February 14, 2020 and the first mobility restriction imposed by the Government occu
Autor:
Paúl Andrés Molina Campoverde, Gina Pamela Novillo Quirola, Andrea Karina Bermeo Naula, Néstor Diego Rivera Campoverde
Publikováno v:
Systems and Information Sciences ISBN: 9783030591939
This work presents an algorithm capable of identifying two habitual driving maneuvers such as braking to decrease speed and disengaging to produce a gear change in the vehicle by studying the PID’s (Identification Parameters) signals from the elect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df890bc6230fcf5cf1b5f6f706f59d74
https://doi.org/10.1007/978-3-030-59194-6_12
https://doi.org/10.1007/978-3-030-59194-6_12
Autor:
Hector Adrian Auquilla Veintimilla, Gina P. Novillo, Néstor Diego Rivera Campoverde, Cesar Daniel Beltrán Orellana
Publikováno v:
International Journal on Advanced Science, Engineering and Information Technology. 10:929
This paper presents a vibration analysis of an internal alternative combustion engine through frequency analysis and wavelet transform, where a form study of the temporary signal and the energy of that signal is carried out to extract certain charact