Orvañanos-Guerrero, María T.

Afiliación principal
Nombre preferido
Orvañanos-Guerrero, María T.
Nombre oficial
Orvañanos Guerrero, María Teresa
ORCID
0000-0002-1060-0443
Researcher ID
AAA-4499-2020
Scopus Author ID
57208530684

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    Performance Comparison of Multi-Objective Optimizers for Dynamic Balancing of Six-Bar Watt Linkages Using a Fully Cartesian Model
    (MDPI AG, 2025-07-04)
    Orvañanos-Guerrero, María T.  
    ;
    Sánchez-Gómez, Claudia  
    ;
    Robles Jiménez Luis Eduardo
    ;
    Sara Carolina Gómez-Delgado
    <jats:p>Balancing mechanisms require the minimization of both the Shaking Moment (ShM) and Shaking Force (ShF), a complex multi-criteria challenge often tackled using single-objective algorithms. However, these methods face difficulties in navigating competing objectives. In contrast, multi-objective algorithms provide a more efficient and adaptable framework, while Fully Cartesian Coordinates (FCC) simplify the balancing equations compared to conventional Cartesian formulations. This study focuses on optimizing the dynamic balance of a six-bar Watt linkage using FCC. A wide set of optimization methods is analyzed and compared, and among them, the S-Metric Selection Evolutionary Multi-objective Optimization Algorithm (SMS-EMOA) demonstrates superior performance. This algorithm achieves the most significant hypervolume value in only 10.44 min of execution. The results indicate that multi-objective algorithms outperform single-objective approaches, offering faster and more diverse optimization solutions. Additionally, this study introduces an analytical method that enables the straightforward identification of removable counterweights, achieving an equally effective balance while minimizing the number of counterweights required.</jats:p>
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    Fuzzy Rule-Based Combination Model for the Fire Pixel Segmentation
    (Institute of Electrical and Electronics Engineers (IEEE), 2025)
    Lopez-Alanis, Alberto
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    de-la-Torre-Gutierrez, Hector
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    Hernández-Aguirre, Arturo
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    Orvañanos-Guerrero, María T.  
    Color-feature-based wildfire pixel segmentation has become a challenging task extensively addressed in various research studies. Rule-based models aim to identify fire pixels in a binary manner by determining whether the pixel intensity exceeds a specified threshold value. The authors determine the thresholds by analyzing diverse collections of images that contain wildfires. This has resulted in a lack of consensus on the thresholds determined by various researchers, even when the same color space is used during the examination process. Additionally, determining fire pixels in a binary manner complicates the handling of uncertainty and vagueness in color information. This research aims to enhance fire-pixel segmentation by integrating color-based rule models with a fuzzy set approach, which effectively addresses uncertainty and vagueness. The proposed approach automatically learns the optimal set of fuzzy operators and rules for fire detection to construct a combined model. To address the limitations of combining binary class labels, this approach modifies the rule form proposed by various authors to obtain a fuzzy set of data, such as a grayscale fire map, instead of a crisp set of data, such as a binary fire map. In addition, our proposal uses a genetic algorithm approach to construct the best combination model. The final binary form of the fire map is calculated using the widely used Otsu method. The presented method is evaluated qualitatively and quantitatively in a well-accepted dataset designed for wildfire pixel segmentation tasks. The model obtained outperforms state-of-the-art rules and traditional strategies for combining binary labels in the F-measure and IoU metrics. © 2013 IEEE.
      17  111
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    Análisis y optimización de mecanismos para el balanceo dinámico utilizando coordenadas naturales
    (2022-01)
    Orvañanos-Guerrero, María T.  
    ;
    RAMIRO VELÁZQUEZ GUERRERO;40848
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    Acevedo, Mario
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    Velázquez Guerrero, Ramiro
    ;
    Campus Aguascalientes
    Esta tesis explora la optimización del balanceo dinámico en diferentes tipos de mecanismos en el plano para lograr la reducción máxima de las reacciones correspondientes a la Fuerza de Sacudimiento y al Momento de Sacudimiento a través de la redistribución de masas. Las expresiones que definen las reacciones dinámicas en la base del mecanismo se obtienen de manera analítica, gracias al modelado realizado en coordenadas completamente cartesianas. Esto permite ensamblar una matriz de masas constante para todo el mecanismo, en donde además pueden identificarse fácilmente las condiciones de balanceo dinámico. La optimización se lleva a cabo mediante contrapesos calculados utilizando los algoritmos de Descenso de Gradiente y Evolución Diferencial, y se analizan utilizando Frentes de Pareto. En la mayoría de los casos se realizan análisis de sensibilidad, empleando también Frentes de Pareto, que permiten conocer la importancia que cada contrapeso tiene para el balanceo general. Además, se presenta una propuesta para el análisis de las restricciones de la optimización, empleando diagramas de caja. Usando las técnicas propuestas es posible lograr mejoras de hasta el 99.70% en la Fuerza de Sacudimiento y de hasta un 97.56% en el Momento de Sacudimiento, o incluso mayores al 50% en ambos casos cuando se utiliza únicamente un contrapeso.
      9  34
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    Complete Balancing of the Six-Bar Mechanism Using Fully Cartesian Coordinates and Multiobjective Differential Evolution Optimization
    (2022)
    Orvañanos-Guerrero, María T.  
    ;
    Acevedo, Mario  
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    Daniel U. Campos-Delgado
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    Sánchez-Gómez, Claudia  
    ;
    Amir Aminzadeh Ghavifekr
    <jats:p>The high-speed operation of unbalanced machines may cause vibrations that lead to noise, wear, and fatigue that will eventually limit their efficiency and operating life. To restrain such vibrations, a complete balancing must be performed. This paper presents the complete balancing optimization of a six-bar mechanism with the use of counterweights. A novel method based on fully Cartesian coordinates (FCC) is proposed to represent such a balanced mechanism. A multiobjective optimization problem was solved using the Differential Evolution (DE) algorithm to minimize the shaking force (ShF) and the shaking moment (ShM) and thus balance the system. The Pareto front is used to determine the best solutions according to three optimization criteria: only the ShF, only the ShM, and both the ShF and ShM. The dimensions of the counterweights are further fine-tuned with an analysis of their partial derivatives, volumes, and area–thickness relations. Numerical results show that the ShF and ShM can be reduced by 76.82% and 77.21%, respectively, when importance is given to either of them and by 45.69% and 46.81%, respectively, when equal importance is given to both. A comparison of these results with others previously reported in the literature shows that the use of FCC in conjunction with DE is a suitable methodology for the complete balancing of mechanisms.</jats:p>
    Scopus© Citations 1  2  16
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    SPICE compact model of controlling electrons of spin qubits using FinFET
    (2023)
    Elias A. Pérez-Rodríguez
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    Orvañanos-Guerrero, María T.  
    ;
    Tetsufumi Tanamoto
    <jats:title>Abstract</jats:title> <jats:p>Semiconductor qubits have garnered attention in the field of device physics. Owing to the limited coherence of electrons and holes, smaller and more compact qubits are desirable. This requirement is aligned with the miniaturization of conventional transistors. In this study, we consider a compact spin qubit based on the FinFET (Fin Field-Effect Transistor) by using the SPICE (Simulation Program with Integrated Circuit Emphasis) simulator. The qubits are represented by the quantum dots (QDs) between the Fin structure. In order to setup the qubit, we have to control the number of electrons through the FinFET. Here, we consider the circuit model of our system by treating the transport properties of the QD and the FinFET as single-electron phenomena. We provide the SPICE simulation results and show the single-electron current as the functions of the FinFET parameters such as the channel length and width including the operation temperature.</jats:p>
    Scopus© Citations 1  30  5
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