Cumbajín Alferez, Myriam
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Preferred name
Cumbajín Alferez, Myriam
Main Affiliation
Ambato
Email
myriamcumbajin@uti.edu.ec
ORCID
Scopus Author ID
57198450868

Research Output

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Software for Horns, Reflectors and Antennas in RF Circuits

2024 , Jorge Unapucha , Ruales, María Belén , Carlos Gordón , Cumbajín Alferez, Myriam

The software developed in Python, fulfills the main objective of facilitating the calculation, graph, design and analysis of horns, reflectors and antennas. Through an intuitive and dynamic graphical interface, with text boxes, users can enter calculation parameters, among which can be the operating frequency, physical dimensions and electrical characteristics, this depending on the type of element that is or will be manipulated within the software, this to configure and observe the different values of the metrics of the different elements of the circuit. The program has numerical modeling and simulation algorithms that allow the analysis of the behavior of horns, reflectors and antennas in the radio frequency domain. Among the aspects evaluated are the radiation, gain, directivity, efficiency and bandwidth of the devices

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Technical Comparisons of Antennas at a Frequency of 3 GHz

2024 , Yessika Jaramillo , Alex Calle , Cumbajín Alferez, Myriam , Carlos Gordón

This paper presents a detailed performance comparison between two widely used antenna types: the Patch Antenna with Insert Field and the 1×4 Linear Array, operating at a frequency of 3 GHz. Using Ansoft Designer software, simulations and modeling were conducted for both antennas, analyzing key parameters such as directivity, gain, reflection coefficient, and radiation pattern. The results show that the 1×4 Linear Array exhibited higher directivity and gain compared to the Patch Antenna with Insert Field. Furthermore, the 1×4 Linear Array demonstrated greater flexibility in controlling the beam pointing angle. On the other hand, the Patch Antenna with Insert Field stood out for its ease of implementation and its capability for more omnidirectional radiation

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Machine Learning Algorithms for Filtering Data Acquired by Arduino

2024 , Mateo Llerena , Jessica López , Cumbajín Alferez, Myriam , Carlos Gordón

In this paper, we developed an artificial intelligence-based data filtering algorithm to improve the accuracy and reliability of MPU6050 sensor measurements. Using the Edge Impulse platform, we trained and optimized the machine learning model for real-time processing of accelerometer and gyroscope readings. The solution was implemented on the ESP32 with a sampling rate of 600 Hz. The experimental results validated the effectiveness of the solution, highlighting its relevance in applications requiring real-time monitoring

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Rectenna Patch-Type Array for Capture of Electromagnetic Energy

2024 , Cumbajín Alferez, Myriam , Sánchez, Patricio , Fausto Tello , Carlos Gordón

This research project is focused on gathering information on rectennas, as well as on patch antenna arrays for Energy Harvesting Systems designed at frequencies up to 3 Ghz, in addition to a simulation and implementation of a rectenna consisting of elements and technology suitable for electromagnetic energy harvesting systems; and at the same time analyze the results obtained from the tests carried out in order to demonstrate its efficiency in the aforementioned systems. The design of this prototype was made in Ansys HFSS software, which allowed us to make a 2×2 array of rectangular patch antennas, in which λ/4 transformers are used to couple the transmission lines to a characteristic impedance of 50 Ω; at the same time the design of a multiplier and voltage rectifier for high frequencies is also performed, in this case for 2.4 Ghz; in such a way that by joining the antenna array with the rectifier, a useful rectenna for electromagnetic energy collection is obtained.

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