Moya-Albor, Ernesto
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Moya-Albor, Ernesto
Official Name
Moya Albor, Ernesto
Alternative Name
emoya
Moya-Albor, E.
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Scopus Author ID
55523223700
Researcher ID
J-1891-2019

Research Output
Now showing 1 - 10 of 38
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Image analysis applied to a freeze-concentration water purification system

2017 , Pardo Benito, José Mauricio , Moya-Albor, Ernesto , Ortega Ibarra, Germán , Brieva, Jorge

Freeze concentration is a promising water purification technology, specially due to the low levels of energy consumption when compared with other processes such as evaporation. Nevertheless, its development is still at pilot plant scale and more knowledge of the process is needed. One of the important parameters needed for design and control of the process is the growth velocity of the crystal, commonly known as the limit velocity. Above this velocity ice crystals will entrap solids and separation will not be successful. In this work, we describe a non-invasive technique to measure this limit velocity based on image analysis. Photographs were taken every 30 minutes in an experimental rig that allowed to freeze the sample unidirectionally. Back lighting was used in order to observe variations in luminosity at the samples surface. Image processing algorithms were used to segment the image, to identify the freezing front and to model its movement. Under the experimental conditions of this work, it was determined that the limiting freezing front velocity was 1.17 mm/h, which is a valuable information for the design and control of the process. © 2018 IMEKO-International Measurement Federation Secretariat. All rights reserved.

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RADAMA: Design of an Intelligent Waste Separator with the Combination of Different Sensors

2021 , Dávila Vega, Raúl Alberto , Hoyo de la Sema, Mauricio del , Meza Herz, David , Jurado Martinon, David , Menéndez Gomory, María de Lourdes , Pérez Martínez, Alan Gerardo , Moya-Albor, Ernesto , Ponce, Hiram , Brieva, Jorge

Nowadays, trash generation is a real problem. It is expected that high-income countries will experience waste generation growth in the future. A forecast shows that by 2050 there will be an exponential increase of close to 3.4 billion tonnes per year. Therefore, it is urgent to reduce the levels of garbage that are produced in the world. A possible solution is to develop recycling systems in all the big cities. In this regard, we propose a mechatronic system to separate solid wastes into four categories. To determine the category to which the inorganic waste belongs, we used a combination of four different sensors: inductive, capacitive, infrared, and ultrasonic sensors. To evaluate the efficiency of this proposal, we carried out tests that showed the individual conduct of every component and the total efficiency of the device, obtaining at least 75 percent in overall efficiency. © 2021 IEEE.

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Modular IoT-based Automated Hydroponic System

2021 , Aranda, Manlio , Savage, Alejandra , San Roman, José Luis , Noguera, Luis , Ponce, Hiram , Brieva, Jorge , Moya-Albor, Ernesto

The growth of population and the rapid urbanization have demanded overproduction of food while reducing the water supply, increasing energy consumption, limiting the land, and augmenting the cost of food transportation. Moreover, overproduction comes with food waste and a negative impact on the ecosystem. As an alternative, urban farming has been proposed to mitigate this problem. It includes cultivating in rooftops and residential indoors. In this regard, this work proposes the development of an automatic modular and vertical hydroponic system capable to regulate the water flow, the artificial lights, and the pH of the water. The hydroponic system is made of modules which means the user can upgrade the system depending on the needs like higher production or space reconfiguration. Also, the hydroponic system implements Internet-of-Things to monitor and operate it remotely. A first prototype is presented, and the experimental results validate its potential applicability. © 2021 IEEE.

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Authentication of medical images through a hybrid watermarking method based on Hermite-Jigsaw-SVD

2023 , Gomez-Coronel, Sandra L. , Moya-Albor, Ernesto , Pérez-Daniel, Karina Ruby , Brieva, Jorge , Cruz-Aceves, Ivan , Hernandez-Aguirre, Arturo , Soto-Alvarez, Jose Alfredo

This work presents a watermarking algorithm applied to medical images by using the Steered Hermite Transform (SHT), the Singular Value Decomposition (SVD), and the Jigsaw transform (JS). The principal objective is to protect the patient's information using imperceptible watermarking and preserve its diagnosis. Thus, the watermark imperceptibility is achieved using the high-order Steered Hermite coefficients, whereas the SVD decomposition and the JS ensure the watermark against attacks. We use the medicine symbol Caduceus as a watermark. The metrics employed to evaluate the algorithm's performance are the Peak Signal-to-Noise Ratio (PSNR), the Mean Structural Similarity Index (MSSIM), and the Normalized Cross-Correlation (NCC). The evaluation metrics over the watermarked image show that it does not suffer quantitative and qualitative changes, and the extracted watermark was recovered successfully with high PSNR values. In addition, several watermark extraction tests were performed against geometric and common processing attacks. These tests show that the proposed algorithm is robust under critical conditions of attacks, for example, against nonlinear smoothing (median filter), high noise addition (Gaussian and Salt & Pepper noise), high compression rates (JPEG compression), rotation between 0 to 180 degree, and translations up to 100 pixels.

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A Computer Vision Approach to Terminus Movement Analysis of Viedma Glacier

2023 , Moya-Albor, Ernesto , Schwartzman, Armin , Brieva, Jorge , Pardo, Mauricio , Ponce, Hiram , Chávez-Domínguez, Rodrigo

In this paper, an automatic segmentation approach of the Viedma glacier terminus is proposed. The method uses multi-spectral images from the Landsat-5 satellite to determine the area of the glacier through computer vision techniques. The area of the glacier is estimated, and a linear model is fitted, obtaining a correlation of 0.968 between the measured area and a fit linear regression model. On the other hand, a bio-inspired optical flow estimation approach is used to calculate and visualize the displacement of the glacier through time. In addition, an analysis is performed between the temperature variation in the Southern Cone and the decrease of the glacier in the function of time. A linear trend (r2=0.95) shows that the analyzed area of the glacier has decreased by about 1.9% annually in the observation season. It reveals an inverse relationship between the change in the size of the glacier and global warming, showing that if the same conditions remain, the glacier's zone analyzed in this work would be close to its disappearance in around 70 years, the time lapse in which a global temperature increase of 1.24 oC would be reached. © 2023 IEEE.

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Stair Climbing Robot Based on Convolutional Neural Networks for Visual Impaired

2019 , Campos, Guillermo , Poza, David , Reyes, Moises , Zacate, Alma , Ponce, Hiram , Brieva, Jorge , Moya-Albor, Ernesto

When a person loses the sense of sight, in general, it is suggested to use a white cane to perform daily activities. However, using a white cane limits the movement of a person. In addition, guide dogs can be served in this impairment. However, the acquisition and maintenance of a guide dog is extremely high for people in development countries. In this regard, this paper presents a proof-of-concept of a low-cost robotic system able to guide a visual impaired, as a guide dog. The robot is specially designed for climbing stairs at indoors, and it uses convolutional neural networks (CNN) for both object detection and hand gesture recognition for special instructions from the user. Experimental results showed that our prototype robot can climb stairs with 86.7% of efficiency in concrete stair surfaces. Also, the visual representation by CNN performed more than 98% accuracy. © 2019 IEEE.

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Distance Estimation Using a Bio-Inspired Optical Flow Strategy Applied to Neuro-Robotics

2018 , Ponce, Hiram , Brieva, Jorge , Moya-Albor, Ernesto

Movement detection and characterization of a 3D scene are relevant tasks in vision systems and particularly in robotic applications controlled by visual features. One of the challenges to characterize a 3D scene in navigation systems is the depth estimation. In contrast to classical approaches using visual based stereo systems, we propose a monocular distance estimation system using convolutional neural networks (CNN) and a bio-inspired optical flow approach as part of a neuro-robotic system. We train the CNN using optical flow visual features guided by ultrasonic sensor-based measures in a 3D scenario. The datasets used are available in: http://sites.google.com/up.edu.mx/robotflow/. Experimental results confirm that a monocular camera can be applie for controlling the robot navigation and obstacle avoidance.

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Motion magnification using the Hermite transform

2015 , Brieva, Jorge , Gomez-Coronel, Sandra L. , Moya-Albor, Ernesto , Escalante-Ramírez, Boris , Mora Esquivel, Juan I. , Ponce, Hiram

We present an Eulerian motion magnification technique with a spatial decomposition based on the Hermite Transform (HT). We compare our results to the approach presented in. We test our method in one sequence of the breathing of a newborn baby and on an MRI left ventricle sequence. Methods are compared using quantitative and qualitative metrics after the application of the motion magnification algorithm.

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Development of an Electric Powered Assisted Cycle with a Heart Rate Sensor Control System

2023 , García Cedillo, Roberto , Martínez López, Diego , Martínez Quintana, Eduardo , Pérez Guerra, Andrea , Sánchez Henkel Moreno, Juan Pablo , Vega Hernández, José Manuel , Moya-Albor, Ernesto , Ponce, Hiram , Brieva, Jorge

In this paper, we present the development of an intelligent bicycle which will be able to help the user achieve a more efficient exercise routine via the control of a DC motor. This project was developed in several stages, from the approach of the system's functions to the components that would conform to it in order to achieve a detailed concept that can meet the requirements correctly. The sector of the population that motivated the realization of this project and to whom it is mainly directed are all those who cycle in Mexico City and find their routines inefficient. Through the use of this bicycle, which has a heart rate measurement system, it is possible to monitor it to regulate the intensity of the exercise. It will be made possible by incorporating a motor that is activated as soon as it detects an elevated heart rate, which may mean that the user requires assistance or has to stop the exercise altogether. The results provide evidence that assisting the user does indeed help reduce overexertion. © 2023 IEEE.

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Optical Flow-Hermite and Fuzzy Q-Learning Based Robotic Navigation Approach

2021 , Moya-Albor, Ernesto , Brieva, Jorge , Ponce, Hiram , Gomez-Coronel, Sandra L.

The present paper presents a bio-inspired optical flow approach to autonomous robotics navigation. It uses a Fuzzy Q-Learning (FQL) method to take decisions in an unknown environment through a reinforcement signal. The proposed method was implemented in a virtual robotics system using the V-REP software and in communication con MATLAB. The preliminary results show that the robot was able to navigate successfully in unknown environments. © 2021 IEEE.

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