Issue 32 – July 2024

Deadline: May 15th, 2024

Ingenius, Revista de Ciencia y Tecnología, cordially invites researchers, teachers, students and the general public to participate in the submission of manuscripts related to empirical research, technological development reports, proposals for models and innovations, products from the elaboration of undergraduate and graduate theses that contribute to the field of science and technology, as well as selected state-of-the-art reviews. These contributions should be in the fields of Mechanical Engineering, Electrical and Electronic Engineering, Computer Science and its integration into what is currently known as Mechatronics.

The submission deadline is May 15th, 2024. Every article approved under double-blind peer review will be published  in Issue 32 on July 1st, 2024.

To send the paper visit our website:https://ingenius.ups.edu.ec/index.php/ingenius/about/submissions


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Current Issue

No. 30 (2023): july-december

Published: 2023-07-01

Editorial

Editorial

John Calle-Siguencia
Abstract 80 | PDF Downloads 112

Computer Science

Design and deployment of an IoT-based monitoring system for hydroponic crops

Jorge González-Escarabay, Manuel Montaño-Blacio, Óscar Jiménez-Sarango, Leydi Mingo-Morocho, César Carrión-Aguirre
Abstract 664 | PDF Downloads 218 HTML Downloads 75

Electrical Engineering - Energies

Mechanical Engineering - Energies

Automotive Engineering

Monte Carlo simulation of uncontrolled Electric Vehicle charging impact on distributed generation

Carlos W. Villanueva-Machado, Jaime E. Luyo, Alberto Rios-Villacorta
Abstract 296 | PDF Downloads 62 HTML Downloads 50

Methodological Proposal for the Design and Analysis of a Formula sae monocoque

Rafael Wilmer Contreras Urgiles, Carlos Ayrton Jaramillo Andrade, Erick Josué Pizarro Barrera
Abstract 229 | PDF Downloads 84 HTML Downloads 51

Advances and strategies to improve the performance of biodiesel in diesel engine

Héctor-Hugo Riojas-González, Liborio-Jesús Bortoni-Anzures, Juan-Julián Martínez-Torres, Héctor A. Ruiz
Abstract 304 | PDF Downloads 66 HTML Downloads 52

Mechanical Engineering - Fluids

Electrical Engineering

Mechanical Engineering - Materials

Evolutionary artificial neural network for temperature control in a batch polymerization reactor

Francisco Javier Sánchez-Ruiz, Elizabeth Argüelles Hernandez, José Terrones-Salgado, Luz Judith Fernández Quiroz
Abstract 298 | PDF Downloads 94 HTML Downloads 46
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