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Engineering Proceedings, Volume 77, Issue 1

JIEE 2024 2024 - 34 articles

The XXXII Conference on Electrical and Electronic Engineering

Quito, Ecuador | 12–15 December 2024

Volume Editors:
Walter Vargas, Escuela Politécnica Nacional, Ecuador
Jackeline Abad, Escuela Politécnica Nacional, Ecuador
Christian Tipantuña, Escuela Politécnica Nacional, Ecuador
Pablo Proaño, Escuela Politécnica Nacional, Ecuador
Jaime Cepeda, Escuela Politécnica Nacional, Ecuador

Cover Story: The Electrical and Electronic Engineering Conference is an annual event organized by the Faculty of Electrical and Electronic Engineering at the National Polytechnic School, Ecuador. The 2024 conference was the XXXII edition of this meeting and was held on 12–15 November 2024. This conference brings together students, professors, researchers, and professionals with the aim of disseminating their graduation projects, curricular integration initiatives, research project advancements, and engagement activities, as well as presenting academic papers. During these conference sessions, keynote lectures, exhibitions, and other events are held, focusing on topics related to Electrical Engineering, Electronics and Automation, Telecommunications, and Information Technologies.
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Articles (34)

  • Editorial
  • Open Access
2,515 Views
2 Pages

Preface: XXXII Conference on Electrical and Electronic Engineering

  • Walter Vargas,
  • Jackeline Abad,
  • Christian Tipantuña,
  • Pablo Proaño and
  • Jaime Cepeda

11 December 2024

The XXXII Electrical and Electronic Engineering Conference (XXXII JIEE-2024) is an annual event organized by the Faculty of Electrical and Electronic Engineering at the Escuela Politécnica Nacional, Quito, Ecuador [...]

  • Proceeding Paper
  • Open Access
1,266 Views
10 Pages

20 November 2024

This paper presents a comprehensive approach to modeling interacting tanks as a multi-agent system. The primary goal is to develop a model that considers the dynamics of each agent and their interconnection so that the behavior of the whole system ca...

  • Proceeding Paper
  • Open Access
1 Citations
3,009 Views
11 Pages

Machine Learning G-Code Optimization

  • Héctor Lasluisa-Naranjo,
  • David Rivas-Lalaleo,
  • Joaquín Vaquero-López and
  • Christian Cruz-Moposita

18 November 2024

G-codes are essential in CNC systems, providing crucial instructions for controlling machine parameters and operations in manufacturing, including 3D printing. They may contain errors affecting product quality and increasing resource consumption. Thi...

  • Proceeding Paper
  • Open Access
1,559 Views
10 Pages

Comprehensive Evaluation of LoRaWAN Technology in Urban and Rural Environments of Quito

  • Ricardo Mena,
  • Mario Ramos,
  • Luis Urquiza and
  • José D. Vega-Sánchez

18 November 2024

The long-range wide area network (LoRaWAN) protocol is one of the most effective technologies for internet of things (IoT) applications, offering long-distance connectivity with low power consumption. This paper presents a practical approach by imple...

  • Proceeding Paper
  • Open Access
2 Citations
1,520 Views
9 Pages

Direction-of-Arrival (DOA) Estimation Based on Real Field Measurements and Modified Linear Regression

  • Luis Antonio Flores,
  • Ismael Lomas,
  • Lenin Guachalá,
  • Pablo Lupera-Morillo,
  • Robin Álvarez and
  • Ricardo Llugsi

18 November 2024

This study applied modified linear regression in machine learning (ML) to predict the direction of arrival (DoA) in cellular networks using field measurements and radiofrequency parameters. Models were developed from base station data, with preproces...

  • Proceeding Paper
  • Open Access
1,070 Views
8 Pages

Communication System Comparison of IoT Applications Using Custom-Designed Antennas: A Basic Experimental Study

  • Marco Vinueza Bustamante,
  • Jordan Guillén Arteaga,
  • Carlos Yépez Vera,
  • Aldrin Reyes Narváez and
  • Hernan Barba Molina

4 November 2024

A comparative study of the performance of a communication system for IoT applications is presented. The experiment is based on the bit error rate, which is obtained by varying the distance between two transceiver modules, each attached to a microcont...

  • Proceeding Paper
  • Open Access
2 Citations
977 Views
9 Pages

Fault Detection in Distribution Networks with Distributed Generation: A Practical Guide to the Morphological Median Filter for the Feature Extraction of Faults

  • Verónica Rosero-Morillo,
  • Le Nam Hai Pham,
  • Sebastián Salazar-Pérez,
  • Francisco Gonzalez-Longatt and
  • Eduardo Orduña

18 November 2024

In this paper, a signal processing method based on Mathematical Morphology (MM) is developed, designed to extract representative characteristics of signals that allow the identification and detection of various types of faults in distribution network...

  • Proceeding Paper
  • Open Access
3 Citations
1,035 Views
8 Pages

Optimal Load Shedding Scheme Considering the Dynamic Frequency Response

  • Carlos Lozada,
  • Walter Vargas,
  • Nelson Granda and
  • Marlon Chamba

18 November 2024

A power system is never in a steady state due to continuous load variations, disturbances, maneuvers, and the operation of protection systems. A generation deficit causes a frequency drop in the system that must be controlled. If this frequency devia...

  • Proceeding Paper
  • Open Access
1,796 Views
10 Pages

Sliding Mode Control for Trajectory Tracking of a TurtleBot3 Mobile Robot in Obstacle Environments

  • Jacob Riera,
  • Sebastián Cachiguango,
  • Michael Pedraza,
  • Gabriela M. Andaluz and
  • Paulo Leica

18 November 2024

The proposed work presents a Sliding Mode Controller (SMC) for trajectory tracking of a TurtleBot3 Burger mobile robot based on sliding mode. Trajectory tracking is performed in congested environments; therefore, an obstacle avoidance strategy is pre...

  • Proceeding Paper
  • Open Access
1,289 Views
12 Pages

18 November 2024

This paper investigates the domain of Natural Language Inference (NLI), with an emphasis on Recognizing Textual Entailment (RTE). We utilize the Stanford Natural Language Inference (SNLI) dataset, a benchmark for RTE tasks, to examine the efficacy of...

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Eng. Proc. - ISSN 2673-4591