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Vortex Optimization of a Low-Head Gravity Hydroelectric Power Plant

2022 , Ayala-Chauvin, Manuel Ignacio , Rojas-Asuero H. , Riba-Sanmartí G. , Ramón-Campoverde J.

Gravitational Water Vortex Power Plant (GWVPP) is a Small-Scale Hydropower System which converts energy in a moving fluid to rotational energy. The main advantage of this technology is the low head hydraulic requirements. The aim of this work is to optimize the hydraulic geometry of the vortex, to achieve this, two prototypes (A and B) were designed and built to validate the proposed design process. The prototype A has a flat-bottom chamber and prototype B has a conical chamber outlet; both induce spiraling fluid streamlines. Prototypes were studied numerically and experimentally. The numerical study was developed in ANSYS CFX R19.0 software and the experimental phase was carried out in the fluid’s laboratory of the Technical University of Loja in Ecuador. The results show that the conical chamber improves strong free-surface vortex formation and increases water velocity in the center of the vortex flow. Finally, the proposed design method was validated and allows to reproduce the hydraulic structures of the gravity water vortex power plant. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Static reactive power compensator design, based on three-phase voltage converter

2021 , Ayala-Chauvin, Manuel Ignacio , Kavrakov B.S. , Buele, Jorge , Varela Aldas, José

At present, electrical network stability is of the utmost importance because of the increase in electric demand and the integration of distributed generation deriving from renewable energy. In this paper, we proposed a static reactive power compensator model with common direct current voltage sources. Converter parameters were calculated and designed to fulfill specifications. In order to ascertain the device response for different operating modes as reactive power consumer and generator, we developed the model’s power and control circuits in Matlab Simulink. Simulations were performed for different conditions, and as a result, the current and voltage waveforms and the circular power chart were obtained. This paper has theoretically proven it is possible to achieve the consumption or generation of purely active or reactive power by implementing a static reactive power compensator with common DC voltage sources. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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Editorial Design Based on User Experience Design

2020 , Borja Galeas, Carlos , Guevara Maldonado, César Byron , Castillo Salazar, David Ricardo , Arias Flores, Hugo Patricio , Fierro-Saltos, W. , Rivera, R. , Yandún-Velasteguí, M. , Varela Aldas, José , Hidalgo-Guijarro J.

This research deals with editorial design based on user experience design. The traditional editorial design has had to adapt to the new digital media composition, where multimedia audiovisual elements unthinkable a few years ago need to be integrated. The participation of the reader, as an external observer who only receives information through texts and images, now has new scenarios in which he can actively participate and decide what will come to his hands. In this study, a work methodology based on UxD User Experience Design is presented, in which will generate the editorial design of an educational book on environmental issues, which includes augmented reality for children from 6 to 8 years of age. The aim of this study is to know if an editorial product with augmented reality and developed from the user experience design can improve meaningful learning in a playful and active way. For its development, a composition model based on the Fibonacci sequence and the golden ratio will be used. Additionally, its graphic composition will be guided by the Massimo Vignelli canon and will be complemented by the reticular model of Beth Tondreau. The augmented reality markers position will also be based on the composition model previously mentioned, which will allow keeping the attention of the reader in the printed document and in the augmented reality animations. The user experience design will be applied with teachers, parents and students from 4 schools in Quito and Ambato. Once the production is completed, the impact on teaching-learning process will be evaluated with a control and a test group, and the methodology with which they will work in the classroom with the educational material developed will be defined. At the end of the study, copies of the book will be delivered to the participating schools of this research for its implementation. © Springer Nature Switzerland AG 2020.

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Improving English Language Skills with a Technological Approach in Teaching

2024 , Núñez Naranjo, Aracelly , Chimarro Reinoso S.E. , Morales-Urrutia E.

Worldwide, the teaching of the English language has gained strength and attitude as it is the most studied and spoken language in the world, whether as a first language or a second language. However, it has been seen that the process of teaching the English language presents certain shortcomings in promoting the development of the four skills (listening, reading, writing and speaking) in students by identifying the lack of digital platforms in the extension of skills. The objective of the research is to validate the use of a digital platform through activities that promote the development of the four skills of learning the English language in students. The use of the platform is promoted through activities aimed at teaching the language, develop each of the skills in Basic Education students. For this research, the mixed methodology was used that combined the qualitative and quantitative approach with a population of 59 students, which allowed an evaluation of the pre-test and post-test to evaluate the development of skills, obtaining a value of 6.82. In the pre-test and a value of 8.77 in the post-test. When measuring the effect of this statistical improvement, it is calculated using Cohen’s d, which determines a very large effect of this improvement. With this result, it is identified that the development English language skills improved significantly after using the platform, both in listening, reading, writing and speaking skills. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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Prototype System for Control the ScorBot ER-4U Robotic Arm Using Free Tools

2021 , Chávez-Chica E. , Buele J. , Salazar F.W. , Varela Aldas, José

The acquisition of controllers offered by manufacturers represents a high cost for the user and presents limitations for development. Therefore, in this work we propose the development of an electronic controller for the ScorBot ER_4U robotic arm operation. The programs are elaborated in C language, in the ESP-IDF development environment, which allows the manipulation and control of the arm. The development of this research directly benefits the research field. In this way, an open license software is delivered for the modification of codes and circuits that support the evolution of robotics knowledge. The tests carried out validate this proposal, both in operation and in the response times obtained. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Determining of university desertion: survival analysis

2022 , Núñez-Naranjo, Aracelly Fernanda

University desertion is the subject of analysis by several authors over the years. The different causes for which a student abandons his studies and the ways to reduce it, entail the interest of the study. The research was positive with a quantitative approach. The data collection was carried out through a survey, and an observation sheet to the student’s files, we proceeded with the analysis of the Kaplan Meier survival curve, on a base made up of 1078 undergraduate students enrolled in the first semester. in 2014 with follow-up to 2019. It is concluded that the existing university dropout factors are personal and social. The incident variables are age, gender, marital status, region, school, family, venue, modality, homologation, and career. There are no significant differences in ethnicity, school, age and quintile, averages. © 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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A comparison in the teaching of programming for development kits with IoT

2022 , Varela Aldas, José , Miranda M. , Palacios-Navarro G.

Education 4.0 promotes programming at all training levels, making block programming a compatible alternative, including developing applications with hardware. This paper compares UIFLOW and Arduino IDE in programming the M5Stack Core2 development kit for education. The designed task allows students to read, locally view, send, and remotely view the inertial sensor data integrated into the device. The programming in UIFLOW application uses block programming; this software is for the M5stack kits. To program in C code using Arduino IDE is need to install the necessary libraries for compatibility with M5Stack. Students of computer science engineering implement the program using both programming languages. The compared data are development times and acceptance of the participants. The results show the coding times of the program and the scores obtained in the acceptance test, determining faster times in the case of block programming and a better acceptance rate that demonstrates the advantages of using this language in programming education. © 2022 IEEE.

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Optimal position control of a mobile manipulator for minimum energy

2022 , Varela Aldas, José

This work presents the position control with energy optimization for a mobile manipulator and the proposal is based on the Pontryagin's Minimum Principle. The objective function is subject to the kinematic model of the robot with the non-holonomic motion constraint of the mobile platform and the boundary conditions as the desired parameters of the controller. The obtained differential equations are solved using the Shooting method to find the optimal co-states. The simulation performed shows that the position errors tend to zero and the control actions are optimized. Furthermore, these results are evaluated with respect to a control law based on the inverse kinematics of the robot. Finding that the minimum energy objective function is affected by the final time. © 2022 IEEE.

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Adaptive NMPC-RBF with Application to Manipulator Robots

2023 , Recalde, Luis F. , Varela J. , Guevara B.S. , Andaluz V. , Gandolfo D.

Control algorithms must deal with model uncertainties and disturbances, making them perfect for real-world applications. In addition, increased computational power in the industrial field allows the implementation of advanced control algorithms such as nonlinear model predictive control (NMPC), which is an optimal control scheme that includes system and control constraints imposed by robot dynamics and the environment. Nevertheless, modeling the robot and its environment is a complicated task due to high nonlinearities, such as model uncertainties in the form of complex unmodeled dynamics, varying payloads, and parameter mismatch, leading to fast degradation of NMPC; therefore, online adaptation laws that improve the performance even in unknown environments are needed. Due to the facts presented before, this work combines the universal approximation of RBFNN and the optimality offered by NMPC in a unified adaptive framework that guarantees good performance even under uncertainties and unmodeled dynamics. The proposed framework is tested in simulation using a 2-link planar robotic arm (SCARA Bosch SR-800), where optimization techniques were used to identify the robot's dynamics. Finally, a comparison of the proposed architecture with a baseline nominal NMPC is made with particular attention to trajectory tracking performance, demonstrating the reduction of the tracking error over non-adaptive NMPC. © 2023 IEEE.

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Twitter Mining for Multiclass Classification Events of Traffic and Pollution

2020 , Chamorro V. , Rivera R. , Varela Aldas, José , Castillo Salazar, David Ricardo , Borja Galeas, Carlos , Guevara Maldonado, César Byron , Arias Flores, Hugo Patricio , Fierro-Saltos W. , Hidalgo-Guijarro J. , Yandún-Velasteguí M.

During the last decade social media have generated tons of data, that is the primal information resource for multiple applications. Analyzing this information let us to discover almost immediately unusual situations, such as traffic jumps, traffic accidents, state of the roads, etc. This research proposes an approach for classifying pollution and traffic tweets automatically. Taking advantage of the information in tweets, it evaluates several machine learning supervised algorithms for text classification, where it determines that the support vector machine (SVM) algorithm achieves the highest accuracy value of 85,8% classifying events of traffic and not traffic. Furthermore, to determine the events that correspond to traffic or pollution we perform a multiclass classification. Where we obtain an accuracy of 78.9%. © Springer Nature Switzerland AG 2020.