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
Now showing 1 - 10 of 19
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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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Multi-criteria analysis of turbines for pico-hydro power plant in water irrigation channel

2020 , Cumbajín Alferez, Myriam , Sánchez, Patricio , Hidalgo, A. , Gordón, C.

We present the Multi-criteria Analysis of turbines for Pico-Hydro Power plant in Ambato–Huachi–Pelileo water irrigation channel. Not only, we have been able to perform a turbine selection using the common requirements like head and flow rate. But also, we have taken into account a multi-criteria analysis by considering: Quantitative criteria, such as Efficiency and Size, combined with Qualitative criteria, such as Maintainability & Serviceability, Portability, Modularity, and Installation Environment requirements. The criteria were analyzed by using the analytical hierarchy process (AHP). We have reviewed different turbine options for being used in a pico-hydropower plants, from the analytical hierarchy process. We have concluded that Michell Banki turbine is the recommendable option in terms of easy build and highly efficient. The study of the requirements for the development of Pico-Hydro Power plant in Ambato–Huachi–Pelileo water irrigation channel in Ecuador will be a promising method for meeting the energy needs using renewable resources and avoiding the conventional fossil fuels or any other approach that affects the environment. © Springer Nature Switzerland AG 2020.

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Health and Educational Impacts Reduction Using a Supervisory Control and Data Acquisition Web System

2018 , Davila L. , Robalino F. , Gordon C. , Cumbajín Alferez, Myriam

We present the design and implementation of a Supervisory Control and Data Acquisition SCADA web system of pollution factors such as Nitrogen Dioxide (NO2), Carbon Dioxide (CO2) and Carbon Monoxide (CO) in order to manage them, providing comfort in indoor environments. The SCADA web system allows a comparative analysis of the recorded information with the alert, alarm and emergency levels, established in the Ecuadorian air quality regulations, annex 4 of Book VI of the Unified Legislation of Secondary Legislation of the Ministry of the Environment., The SCADA web system performs the comparison of the registered information, with the physical agents of environmental comfort, established in the ASHRAE (American Society of Heating, Refrigerating, and Air-Conditioning Engineers) standards. In the process of stabilization of the pollution factors, in indoor environments, air ionizers are used, which emit negative ions to maintain the standardized range in micrograms per cubic meter (3). Finally, we have been able to develop a SCADA web system for controlling pollution factors in indoor environments thanks to the integration of firebase (Android Studio), authentication (Facebook), notification (Database and Web Server), control and monitoring (Android Studio) interfaces. Besides, the SCADA web system allows preventing long term health problems such as allergic reactions, physical exhaustion and respiratory diseases, which influence academic performance during study days in educational institutions. © 2018 IEEE.

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Absorber length optimization of on-chip colliding pulse mode-locked semiconductor laser

2018 , Gordon C. , Cumbajín Alferez, Myriam , Carpintero G. , Bente E. , Javaloyes J.

We present theoretical and experimental results regarding the saturable absorber length optimization for the generation of stable mode-locked regimes of a novel on-chip colliding pulse mode-locked semiconductor laser structure. We have been able to apply the design criteria acquired from previous theoretical and experimental reports to define a suitable gain section length for a given saturable absorber section length. The latter is independent from the cavity length and allows obtaining stable mode-locked regimes with the required repetition rate and pulse width in the range of picoseconds for different applications. We have developed four on-chip colliding pulse mode-locked laser structures with saturable absorber lengths ranging from 20 to 50 μm in steps of 10 μm with fundamental repetition rate at 25 GHz and twice this frequency at 50 GHz when operated in the colliding pulse mode-locked regime. The theoretical study was carried out by using the simulation tool called FreeTWM which is a free travelling wave model software designed for the study of the dynamics of multisection semiconductor lasers, while the experimental analysis was executed on the samples fabricated on a generic InP photonic integrated technology through a multi-project wafer run. © 1995-2012 IEEE.

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Integration of renewable energies in conventional power systems based on computational reliability

2019 , Cumbajín Alferez, Myriam , Ramírez L. , Gordón C.

We report the successful computational reliability of integrating renewable energy into conventional electric power systems. According to renewable resources available in the province of Imbabura in Ecuador, where there are sufficient renewable resources to generate clean energy with three types of technology, such as wind energy, photovoltaic solar energy and thermoelectric energy. We have been able to conduct two fundamental case studies, and then calculate reliability indices using the non-sequential Monte Carlo method using Matlab programming. The reliability indices allowed us to evaluate the reliability of the system. Due to the fact that the lower the reliability index, the higher the reliability of the system. As a result, this paper provides a promising method for increasing the reliability of electric power systems and supporting the future integration of renewable energies. © 2019, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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Hybrid Storage System Based on Rectenna and Photovoltaic Cells for Low Power IoT Wireless Devices

2023 , Cumbajín Alferez, Myriam , Valle M. , Gordón C. , Peñafiel C.

This article presents the results of a research project, in which a system for harvesting Radio Frequency energy in the Wi-Fi frequency and a system for harvesting solar energy were developed, later they were connected. The two voltage sources collected in series to add them and an MT3608 circuit was added to its output, to have a regulated voltage between 5 to 27 V at the system output and charge a 3.7 V lithium battery at 300 mA, and a 9 V battery. The antenna that was designed was a patch-type Sierpinski carpet until the second interaction, which together with a two-stage Cockcroft Walton multiplier is improved to acquire up to 254 mV, the solar panel on the other hand was a 6 V at 150 mA, when implementing the entire system, 27 V were acquired at the output, a voltage that, thanks to the MT3608 regulator, can be regulated to obtain a sufficiently voltage at the output of the system. To carry out several systems loads tests in different day conditions such as: cloudy, sunny and at night, managing to charge 90% 3.7 V and 9 V batteries in 4 h. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Multiband Broadband Modulator Implementation on Field-Programmable Gate Array

2020 , Castro, C. , Gordón, C. , Encalada, P. , Cumbajín Alferez, Myriam

The proper management of resources available in FPGA’s is one of the main issues that designers must consider when implementing a high bandwidth communications system. For this reason, we report the hardware-efficient implementation, for mapping stages and pulse shaping, of broadband multi-level QAM signals, in Field-Programmable Gate Array (FPGA) devices. The process for designing the system is based on the large capacity of analog-digital (ADC) converters that exist today, in this case the ADC has a sampling rate of 5 GSPS, which allows the transmission of signals with bandwidths of about 2.5 GHz. The model implements in the same polyphase FIR structure multiplier-less the mapping schemes Q-PSK, 16-QAM, 64-QAM y 256-QAM together with the RRC filter. As a result, this implementation shows that the proposed architecture eliminates the use of dedicated multipliers which would be around 3150 if conventional methods were used. The Error Vector Module is used as a figure of merit in the selection of the RRC filter and the digital quantization levels. We achieved the target frequency for hardware operation at 312.5 MHz con un factor de interpolation de 16 and an EVM < 2%. Also, Hardware Description Language (HDL) models are validates in test benches with reference to the finite precision models of Simulink. © 2020, Springer Nature Switzerland AG.

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Biosignal Monitoring System Through an Interface to Optimize People’s Emotional Well-Being

2025 , Kevin Gamboa , Dario Guaman , Carlos Gordon , Myriam Cumbajin

This document presents the development of a Node-RED application with an interactive graphical interface for the visualization of emotional biosignals, allowing users to monitor and analyze their emotional state. The objective is to record relevant information on the implementation of algorithms in real time and the integration of sensors such as the MAX30100 and AD8232 ECG, together with an ESP32 and electrodes to take the samples, in order to identify emotional patterns using predefined thresholds. The aim is to optimize the efficiency of the system by improving biosignal transmission algorithms, minimizing resource consumption, and guaranteeing fast and fluid visualization of emotions on OLED screens, to improve the overall user experience. In this study, a methodology divided into four phases was used: research, development, integration, and optimization. Once the application was implemented, the results obtained in the identification of emotional patterns were compared and the algorithms that offered the best performance were optimized. Finally, an intuitive graphical interface was created in Node-RED that allows users to efficiently visualize and monitor their emotional biosignals, functioning as a tool to optimize people’s emotional well-being.

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Low-Cost Signal Generator: Design and Implementation

2025 , Sharon Solano , Kevin Diaz , Carlos Gordon , Cumbajín Alferez, Myriam

This document meticulously details the design and implementation process of a Low-Cost Signal Generator using the AD9833 module. This device can generate sinusoidal, triangular, and square signals with a high degree of precision, making it ideal for applications in electronics laboratories and educational projects. The methodology employed is divided into four main stages: circuit design, simulation, fabrication, and characterization tests of the signal generator. Operational tests demonstrated that the generator meets the design specifications, producing stable signals in a frequency range of 0.1 Hz to 12.5 MHz. The features of the AD9833 module allow for flexible configuration of waveforms and frequencies, facilitating its use in various testing and development applications. This work was developed to provide a solid foundation for the creation of economical and efficient signal generators, thus contributing to the accessibility of advanced tools in educational and research environments.

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Convolutional neural network oriented to the gesticulation control of an interactive social robot with humanoid aspect [Red neuronal convolucional orientado a la gesticulación de un robot social interactivo con aspecto humanoide]

2019 , Arias E. , Encalada P. , García M. , Granizo C. , Tigre F. , Cumbajín Alferez, Myriam

Social robots present the boom of an infinity of investigations in terms of design and control, these in turn approach with greater intensity to be our partners at home or work, however, still lack similar social interaction skills to the human being. This paper presents the implementation of a convolutional neuronal network algorithm aimed at the arrest of emotions for decision-making in the gesticulation of the social robot with a humanoid appearance. In addition, emphasis is placed on the use of visemas as a unit of labial movement for improve the human-robot interaction in any field in which the social robot can be used, be it teaching, therapies, safe navigation, etc., simultaneously coordinating and similar to the human naturalness the movement of servomechanisms of the mouth and the synthesized audio of the text that the robot gives in response. © 2019, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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