Varela Aldas, José

Preferred name

Varela Aldas, José

Main Affiliation

Centro de investigación en Mecatrónica y Sistemas Interactivos

Ambato

josevarela@uti.edu.ec

ORCID

0000-0002-4084-1424

Scopus Author ID

57192546163

Now showing 1 - 10 of 153

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Temperature control system with hysteresis for drying oven using IoT
(2023)
Bucay-Valdiviezo J.
;
Veronica-Ocana Parra S.
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Saa F.
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Varela Aldas, José
The fourth industrial revolution (Industry 4.0) spread to the whole world, improving all kinds of industrial processes. Thus, temperature control and monitoring of ovens through the Internet of Things (IoT) is part of this technology, especially in the automotive industry. In this work, the temperature control with hysteresis of a drying oven is carried out incorporating the IoT, with the objective of maintaining the temperature within a certain range in the drying process inside an oven. For this, a thermocouple, heat lamps, couplers and an electronic board are used. The temperature data from the drying oven is sent to the internet via WiFi using a router. The oven temperature data is recorded in the cloud for its respective subsequent analysis using the ThingSpeak services. For the results, the temperature is configured in the range of 50 ° C to 70 ° C that is monitored through a mobile application developed in App Inventor. The tests carried out demonstrate the proper functioning of the system and the high usability of the application. © 2023 IEEE.
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Voltammetric Electronic Tongues Applied to Classify Sucrose Samples Through Multivariate Analysis
(2021)
Fuentes, E.M.
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Varela Aldas, José
;
Verdú S.
;
Meló R.G.
;
Alcañiz M.
The aim of the present study was to classify samples of sugar with different concentrations through a Voltammetric Electronic tongues (VET), with a generic pulse sequence consisted of 22 pulses ranging from –1000 mV to + 1000 mV with a duration of 20 ms/pulse over different samples such as 1.25mM, 2.5mM, 5mM and 10mM, of sucrose concentration, these were measured 4 times each concentration and the test was developed 4 times, giving a total number of 506.880 data supervised learning algorithm using support vector machine was employed, choosing a linear function as a classifying element. In the training, 75% of the data was used to determine the coefficients of the classification function, and the remaining (25%) was used to evaluate the performance of the proposal. The results showed a concordance of more than 80% in the separation of sample, allowing to conclude as acceptable the performance of the classifier and the data acquired through the voltammetric tongue. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Analysis of Urban Transport User Satisfaction in Ambato: Segmented Results from a Target Population
(2025)
Junta, Christian
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William Avila-Armijos
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Núñez-Naranjo, Aracelly Fernanda
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Varela Aldas, José
;
Fernando Vladimir Junta
Urban public transportation plays a crucial role in the daily mobility of citizens, especially in medium-sized cities like Ambato, Ecuador. This study aims to evaluate user satisfaction levels with different urban transport cooperatives through a data-driven approach. A total of 123 responses were collected via a digitally distributed survey using QR codes, with a methodological focus on individuals aged 20 to 40 due to their higher digital literacy. The questionnaire included dimensions such as comfort and safety, risk perception, and punctuality. The analysis, conducted through Power BI, revealed differentiated levels of satisfaction across service dimensions. Comfort and safety received a mean rating of 41.5%, while risk perception reached 53.8%. Punctuality, evaluated through a single item, showed a favorable perception from 66.7% of users. These findings indicate specific areas of concern, such as perceptions of security and cleanliness, which require attention from transport providers and local authorities. The results provide a scalable model for user satisfaction assessment that can be replicated in other urban contexts. Moreover, the integration of business intelligence tools facilitates evidencebased decision-making and supports future initiatives to enhance urban mobility systems in Ecuador and Latin America. © 2025 IEEE.
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Estimation of Unmodeled Dynamics: Nonlinear MPC and Adaptive Control Law With Momentum Observer Dynamic
(2024)
Bryan S. Guevara
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Luis F. Recalde
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Viviana Moya
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Varela Aldas, José
;
Daniel C. Gandolfo
This article proposes an enhancement to estimate unmodeled dynamics within the simplified dynamic model of a quadcopter by integrating three key methodologies: Nonlinear Model Predictive Control (NMPC), a Momentum Observer Dynamics (MOD), and an adaptive control law. Termed as Adaptive NMPC with MOD, this integrated approach leverages NMPC, implemented using the CasADi framework, for real-time decision-making, while the momentum observer facilitates system state estimation and uncertainty mitigation. Simultaneously, the adaptive control law adjusts parameters to estimate errors in unmodeled dynamics. Through digital twin and Model in Loop (MiL) simulations, the effectiveness of this framework is demonstrated. Specifically, the study focuses on the simplified quadcopter model, acknowledging often overlooked inherent dynamics resulting from the simplification by not considering the nonlinearities induced by the drone's attitude angles. Addressing these unmodeled dynamics is critical, and the Adaptive NMPC with MOD method emerges as a robust solution, showcasing its potential across various scenarios.
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Dynamics of a Unicycle-Type Wheeled Mobile Manipulator Robot
(2020)
Varela Aldas, José
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Chicaiza, F.A.
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Andaluz V.H.
Mathematical modeling is widely used in robotics to display behaviors and design control algorithms; the dynamic model of a robot describes the movements considering the action of internal and external forces of the system. This paper presents the dynamics of a unicycle mobile manipulator robot using the Euler-Lagrange proposal and conditioning the model to obtain the output velocities in the robot from the desired velocities. Additionally, the dynamic model is complemented by the identification of parameters using experimental data obtained from the AKASHA robot. The results present the signals applied in the identification, the values of the dynamic constants are found and the validation data which indicate a correct performance of the proposal are graphically shown. © 2020, Springer Nature Switzerland AG.
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Effects of immersive virtual reality on the heart rate of athlete’s warm-up
(2019)
Varela Aldas, José
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Palacios-Navarro G.
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García-Magariño I.
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Fuentes E.M.
An adequate warm-up prior to intensive exercise can bring benefits to athletes, these requirements may vary depending on the physical activity and the training needs. The immersive virtual reality could have benefits in the warm-up and it can be determined by physiological data of the athlete. This work presents a mobile virtual reality application to stimulate the warm-up of an athlete using a standard treadmill, where the developed application is composed of a pleasant and stimulating environment. A Smartphone and the Gear VR are used as an HMD device, and wireless headphones are placed in the users, in addition, the heart rate of the athletes is monitored using a Polar H7 sensor. Experimental results are obtained in athletes with similar characteristics and conditions, identified a direct relation of the virtual environment with the pulsations per minute (ppm), denoting pulsations greater than usual in case of the stimulating environment and lower pulsations for the pleasant environment. Finally, a usability test is performed that shows the level of sociability of the system. © Springer Nature Switzerland AG 2019.
Scopus© Citations 7 13
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Support vector machine as tool for classifying coffee beverages
(2020)
Varela Aldas, José
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Fuentes, E.M.
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Buele, Jorge
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Meló, R.G.
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Barat, J.M.
Classifiers are tools widely used nowadays to process data and obtain prediction models that are trained through supervised learning techniques; there is a wide variety of sensors that acquire the data to be processed, such as the voltammetric electronic tongue, as a device employed to analyze food compounds. This paper presents a normal and decaffeinated coffee beverage classifier using a Support Vector Machine with a linear separation function, detailing the classification function and the model optimization method; to train the model, the data measured by 4 electrodes of a voltammetric tongue that is excited by a predetermined sequence of positive pulses is used. In addition, the results graphically show the measurements obtained, the support vectors and the evaluation data, the values of the classifier parameters are also presented. Finally, the conclusions establish an acceptable error in the classification of coffee drinks according to caffeine presence at the sample analyzed. © Springer Nature Switzerland AG 2020.
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An assessment of a ROS class using an educational mobile robot
(2024)
Varela Aldas, José
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Junta, Christian
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Buele, Jorge
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Guillermo Palacios-Navarro
The Robot Operating System (ROS) is a middleware that standardizes robot programming, both in simulation and with real equipment. Despite this open-source tool being available for several years, there's still a need to enhance its utilization in robotics education across all educational levels. In this study, a ROS class is assessed among university students using a commercial educational robot. The primary objective is to measure academic emotions in learning and student performance to determine the impact of the class using the open-access tool from a GitHub repository (https://github.com/joseVarelaAldas/ROS-Crowbot). This tool is based on the rosserial package, compatible with the ESP32 board. For class, CrowBot robots connected to the local wireless network via WiFi are used. TThe participants in this study were eight students from an electronics degree program at a higher education institution, who had no prior experience with ROS and received practical training using the educational mobile robot. For data collection on class performance, three parameters are assessed: execution time, functionality, and motivation, and to measure academic emotions, a validated self-report instrument is used. The results show an overall performance of 82.1%, and in the self-report on academic emotions, a high score in enjoyment (95%) and the lowest score in boredom (24.1 %) were obtained. In conclusion, the repository provides an interesting, practical, and accessible tool for an introduction into the world of robotics using ROS.
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Prototype of a Low Cost Turbine for the Generation of Clean Energy in the Ecuadorian Amazon
(2020)
Guáitara B.
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Buele, Jorge
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Salazar F.W.
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Varela Aldas, José
Access to electricity supply in remote areas is limited, despite having wealth of other natural resources such as water. This document presents the design and construction of a scale electric generation system, taking advantage of the hydraulic energy produced by a constant flow of water flow. For this, the turbine design is described, which is based on the principles of Francis and Kaplan. In addition, the structural design made in CAD/CAM software and the actual implementation of the system are shown. To determine the generated electric potential, the electromagnetic analysis is performed based on the Maxwell-Faraday equation and the respective calculations. The validation of this proposal is determined by conducting experimental tests with balanced, unbalanced, series and parallel coils and with their implementation in a home. © 2020, Springer Nature Switzerland AG.
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Development of Behavior Profile of Users with Visual Impairment
(2020)
Guevara Maldonado, César Byron
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Arias Flores, Hugo Patricio
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Varela Aldas, José
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Castillo Salazar, David Ricardo
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Borja M.
The interaction of the user with visual impairment with assistive technologies, and in particular with screen readers, generates a group of actions and events during their navigation. These interactions are defined as behavioral patterns, which have a sequence that occurs at specific time slot. Understanding user behavior by analyzing their interaction with applications, in addition, details the characteristics, relationships, structures and functions of the sequence of actions in a specific application domain. The objective of this document is to find activity patterns from a set of commands used by the user, combining data mining and a Bayesian model. This model calculates the probability of the functions used with the screen reader and generates a behavior profile to improve the user experience. For this study, the screen reader JAWS version 2018, the Open Journal Systems platform version 3.0.1 and a computer with Windows 10 operating system were used. During the first phase, command history used by the user by interacting with the Open Journal Systems platform were collected. The result is that the accessibility of users with visual impairment to interact with the computer and its applications has been improved by applying this model. © Springer Nature Switzerland AG 2020.
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Varela Aldas, José

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