This page has only limited features, please log in for full access.

Unclaimed
Alejandro-I. Barranco-Gutierrez
Cátedras CONACyT - TecNM en Celaya, Celaya, Guanajuato

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 24 July 2020 in Applied Sciences
Reads 0
Downloads 0

Sweet bell peppers are a Solanaceous fruit belonging to the Capsicum annuum L. species whose consumption is popular in world gastronomy due to its wide variety of colors (ranging green, yellow, orange, red, and purple), shapes, and sizes and the absence of spicy flavor. In addition, these fruits have a characteristic flavor and nutritional attributes that include ascorbic acid, polyphenols, and carotenoids. A quality criterion for the harvest of this fruit is maturity; this attribute is visually determined by the consumer when verifying the color of the fruit’s pericarp. The present work proposes an artificial vision system that automatically describes ripeness levels of the bell pepper and compares the Fuzzy logic (FL) and Neuronal Networks for the classification stage. In this investigation, maturity stages of bell peppers were referenced by measuring total soluble solids (TSS), ° Brix, using refractometry. The proposed method was integrated in four stages. The first one consists in the image acquisition of five views using the Raspberry Pi 5 Megapixel camera. The second one is the segmentation of acquired image samples, where background and noise are removed from each image. The third phase is the segmentation of the regions of interest (green, yellow, orange and red) using the connect components algorithm to select areas. The last phase is the classification, which outputs the maturity stage. The classificatory was designed using Matlab’s Fuzzy Logic Toolbox and Deep Learning Toolbox. Its implementation was carried out onto Raspberry Pi platform. It tested the maturity classifier models using neural networks (RBF-ANN) and fuzzy logic models (ANFIS) with an accuracy of 100% and 88%, respectively. Finally, it was constructed with a content of ° Brix prediction model with small improvements regarding the state of art.

ACS Style

Marcos-Jesús Villaseñor-Aguilar; Micael-Gerardo Sánchez-Bravo; José-Alfredo Padilla-Medina; Jorge Luis Vázquez-Vera; Ramón-Gerardo Guevara-González; Francisco-Javier García-Rodríguez; Alejandro-Israel Barranco-Gutiérrez. A Maturity Estimation of Bell Pepper (Capsicum annuum L.) by Artificial Vision System for Quality Control. Applied Sciences 2020, 10, 5097 .

AMA Style

Marcos-Jesús Villaseñor-Aguilar, Micael-Gerardo Sánchez-Bravo, José-Alfredo Padilla-Medina, Jorge Luis Vázquez-Vera, Ramón-Gerardo Guevara-González, Francisco-Javier García-Rodríguez, Alejandro-Israel Barranco-Gutiérrez. A Maturity Estimation of Bell Pepper (Capsicum annuum L.) by Artificial Vision System for Quality Control. Applied Sciences. 2020; 10 (15):5097.

Chicago/Turabian Style

Marcos-Jesús Villaseñor-Aguilar; Micael-Gerardo Sánchez-Bravo; José-Alfredo Padilla-Medina; Jorge Luis Vázquez-Vera; Ramón-Gerardo Guevara-González; Francisco-Javier García-Rodríguez; Alejandro-Israel Barranco-Gutiérrez. 2020. "A Maturity Estimation of Bell Pepper (Capsicum annuum L.) by Artificial Vision System for Quality Control." Applied Sciences 10, no. 15: 5097.

Conference paper
Published: 17 June 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
Reads 0
Downloads 0

Current methods of correlation and point matching between stereoscopic images produce large errors or are completely inefficient when the surface has a repetitive, non-isotropic, low contrast pattern. In this article a new method of Digital Assisted Image Correlation (DAIC) is presented to match specific points in order to estimate the deformation of the surface in the metal sheets used in the automotive industry. To achieve this, it is necessary to stamp the surface to be measured with a regular pattern of points, then a digital image processing is done to obtain the labels of the circles of the pattern. After this, a semi-automatic search is made in the labels of both images to correlate all of them and perform the triangulation. DIC is used to corroborate the correspondence between points and verify the accuracy and efficiency of the developed method. This allows the 3D reconstruction of the sheet with a minimum of information and provides more efficiency and a great benefit in computational cost. Deformation is calculated by two methods, which show similarity between the values obtained with a digital microscope. It is assumed that quality of marks stamping, lighting, and the initial conditions, also contribute for trustworthy effects.

ACS Style

García-Alcalá Carlos-Eduardo; Padilla-Medina José-Alfredo; Barranco-Gutiérrez Alejandro-Israel. Digital Assisted Image Correlation for Metal Sheet Strain Measurement. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 159 -171.

AMA Style

García-Alcalá Carlos-Eduardo, Padilla-Medina José-Alfredo, Barranco-Gutiérrez Alejandro-Israel. Digital Assisted Image Correlation for Metal Sheet Strain Measurement. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():159-171.

Chicago/Turabian Style

García-Alcalá Carlos-Eduardo; Padilla-Medina José-Alfredo; Barranco-Gutiérrez Alejandro-Israel. 2020. "Digital Assisted Image Correlation for Metal Sheet Strain Measurement." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 159-171.

Journal article
Published: 06 June 2020 in Computational Intelligence and Neuroscience
Reads 0
Downloads 0

The image analysis of the brain with machine learning continues to be a relevant work for the detection of different characteristics of this complex organ. Recent research has observed that there are differences in the structure of the brain, specifically in white matter, when learning and using a second language. This work focuses on knowing the brain from the classification of Magnetic Resonance Images (MRIs) of bilingual and monolingual people who have English as their common language. Different artificial neural networks of a hidden layer were tested until reaching two neurons in that layer. The number of entries used was nine hundred and the classifier registered a high percentage of effectiveness. The training was supervised which could be improved in a future investigation. This task is usually carried out by an expert human with Tract-Based Spatial Statistics analysis and fractional anisotropy expressed in different colors on a screen. So, this proposal presents another option to quantitatively analyse this type of phenomena which allows to contribute to neuroscience by automatically detecting bilingual people of monolinguals by using machine learning from MRIs. This reinforces what is reported in manual detections and the way that a machine can do it.

ACS Style

Alejandro-Israel Barranco-Gutiérrez. Machine Learning for Brain Images Classification of Two Language Speakers. Computational Intelligence and Neuroscience 2020, 2020, 1 -7.

AMA Style

Alejandro-Israel Barranco-Gutiérrez. Machine Learning for Brain Images Classification of Two Language Speakers. Computational Intelligence and Neuroscience. 2020; 2020 ():1-7.

Chicago/Turabian Style

Alejandro-Israel Barranco-Gutiérrez. 2020. "Machine Learning for Brain Images Classification of Two Language Speakers." Computational Intelligence and Neuroscience 2020, no. : 1-7.

Review
Published: 30 April 2020 in IEEE Latin America Transactions
Reads 0
Downloads 0
ACS Style

Moises Arredondo-Velazquez; Javier Diaz-Carmona; Alejandro-Israel Barranco-Gutierrez; Cesar Torres-Huitzil. Review of prominent strategies for mapping CNNs onto embedded systems. IEEE Latin America Transactions 2020, 18, 971 -982.

AMA Style

Moises Arredondo-Velazquez, Javier Diaz-Carmona, Alejandro-Israel Barranco-Gutierrez, Cesar Torres-Huitzil. Review of prominent strategies for mapping CNNs onto embedded systems. IEEE Latin America Transactions. 2020; 18 (05):971-982.

Chicago/Turabian Style

Moises Arredondo-Velazquez; Javier Diaz-Carmona; Alejandro-Israel Barranco-Gutierrez; Cesar Torres-Huitzil. 2020. "Review of prominent strategies for mapping CNNs onto embedded systems." IEEE Latin America Transactions 18, no. 05: 971-982.

Journal article
Published: 14 April 2020 in Mathematical Problems in Engineering
Reads 0
Downloads 0

Face recognition using thermal imaging has the main advantage of being less affected by lighting conditions compared to images in the visible spectrum. However, there are factors such as the process of human thermoregulation that cause variations in the surface temperature of the face. These variations cause recognition systems to lose effectiveness. In particular, alcohol intake causes changes in the surface temperature of the face. It is of high relevance to identify not only if a person is drunk but also their identity. In this paper, we present a technique for face recognition based on thermal face images of drunk people. For the experiments, the Pontificia Universidad Católica de Valparaíso-Drunk Thermal Face database (PUCV-DTF) was used. The recognition system was carried out by using local binary patterns (LBPs). The LBP features were obtained from the bioheat model from thermal image representation and a fusion of thermal images and a vascular network extracted from the same image. The feature vector for each image is formed by the concatenation of the LBP histogram of the thermogram with an anisotropic filter and the fused image, respectively. The proposed technique has an average percentage of 99.63% in the Rank-10 cumulative classification; this performance is superior compared to using LBP in thermal images that do not use the bioheat model.

ACS Style

Agustin Sancen-Plaza; Luis Miguel Contreras-Medina; Alejandro Israel Barranco-Gutiérrez; Carlos Villaseñor-Mora; Juan J Martínez-Nolasco; José A. Padilla-Medina. Facial Recognition for Drunk People Using Thermal Imaging. Mathematical Problems in Engineering 2020, 2020, 1 -9.

AMA Style

Agustin Sancen-Plaza, Luis Miguel Contreras-Medina, Alejandro Israel Barranco-Gutiérrez, Carlos Villaseñor-Mora, Juan J Martínez-Nolasco, José A. Padilla-Medina. Facial Recognition for Drunk People Using Thermal Imaging. Mathematical Problems in Engineering. 2020; 2020 ():1-9.

Chicago/Turabian Style

Agustin Sancen-Plaza; Luis Miguel Contreras-Medina; Alejandro Israel Barranco-Gutiérrez; Carlos Villaseñor-Mora; Juan J Martínez-Nolasco; José A. Padilla-Medina. 2020. "Facial Recognition for Drunk People Using Thermal Imaging." Mathematical Problems in Engineering 2020, no. : 1-9.

Research article
Published: 04 July 2019 in Journal of Sensors
Reads 0
Downloads 0

Artificial vision systems (AVS) have become very important in precision agriculture applied to produce high-quality and low-cost foods with high functional characteristics generated through environmental care practices. This article reported the design and implementation of a new fuzzy classification architecture based on the RGB color model with descriptors. Three inputs were used that are associated with the average value of the color components of four views of the tomato; the number of triangular membership functions associated with the components R and B were three and four for the case of component G. The amount of tomato samples used in training were forty and twenty for testing; the training was done using the Matlab© ANFISEDIT. The tomato samples were divided into six categories according to the US Department of Agriculture (USDA). This study focused on optimizing the descriptors of the color space to achieve high precision in the prediction results of the final classification task with an error of 536,995×10-6. The Computer Vision System (CVS) is integrated by an image isolation system with lighting; the image capture system uses a Raspberry Pi 3 and Camera Module Raspberry Pi 2 at a fixed distance and a black background. In the implementation of the CVS, three different color description methods for tomato classification were analyzed and their respective diffuse systems were also designed, two of them using the descriptors described in the literature.

ACS Style

Marcos J. Villaseñor-Aguilar; J. Enrique Botello-Álvarez; F. Javier Pérez-Pinal; Miroslava Cano-Lara; M. Fabiola León-Galván; Micael-G. Bravo-Sánchez; Alejandro I. Barranco-Gutierrez. Fuzzy Classification of the Maturity of the Tomato Using a Vision System. Journal of Sensors 2019, 2019, 1 -12.

AMA Style

Marcos J. Villaseñor-Aguilar, J. Enrique Botello-Álvarez, F. Javier Pérez-Pinal, Miroslava Cano-Lara, M. Fabiola León-Galván, Micael-G. Bravo-Sánchez, Alejandro I. Barranco-Gutierrez. Fuzzy Classification of the Maturity of the Tomato Using a Vision System. Journal of Sensors. 2019; 2019 ():1-12.

Chicago/Turabian Style

Marcos J. Villaseñor-Aguilar; J. Enrique Botello-Álvarez; F. Javier Pérez-Pinal; Miroslava Cano-Lara; M. Fabiola León-Galván; Micael-G. Bravo-Sánchez; Alejandro I. Barranco-Gutierrez. 2019. "Fuzzy Classification of the Maturity of the Tomato Using a Vision System." Journal of Sensors 2019, no. : 1-12.

Journal article
Published: 24 April 2019 in Applied Sciences
Reads 0
Downloads 0

Nowadays, the deformation measurement in metal sheets is important for industries such as the automotive and aerospace industries during its mechanical stamping processes. In this sense, Digital Image Correlation (DIC) has become the most relevant measurement technique in the field of experimental mechanics. This is mainly due to its versatility and low-cost compared with other techniques. However, traditionally, DIC global image registration implemented in software, such as MATLAB 2018, did not find the complete perspective transformation needed successfully and with high precision, because those algorithms use an image registration of the type “afine” or “similarity”, based on a 2D information. Therefore, in this paper, a DIC initialization method is presented to estimate the surface deformation of metal sheets used in the bodywork automotive industry. The method starts with the 3D points reconstruction from a stereoscopic digital camera system. Due to the problem complexity, it is first proposed that the user indicates four points, belonging to reference marks of a “Circle grid”. Following this, an automatic search is performed among the nearby marks, as far as one desires to reconstruct it. After this, the local DIC is used to verify that those are the correct marks. The results show reliability by reason of the high coincidence of marks in experimental cases. We also consider that the quality of mark stamping, lighting, and the initial conditions also contribute to trustworthy effects.

ACS Style

Alejandro-Israel Barranco-Gutiérrez; José-Alfredo Padilla-Medina; Francisco J. Perez-Pinal; Juan Prado-Olivares; Saúl Martínez-Díaz; Oscar-Octavio Gutiérrez-Frías. New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements. Applied Sciences 2019, 9, 1691 .

AMA Style

Alejandro-Israel Barranco-Gutiérrez, José-Alfredo Padilla-Medina, Francisco J. Perez-Pinal, Juan Prado-Olivares, Saúl Martínez-Díaz, Oscar-Octavio Gutiérrez-Frías. New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements. Applied Sciences. 2019; 9 (8):1691.

Chicago/Turabian Style

Alejandro-Israel Barranco-Gutiérrez; José-Alfredo Padilla-Medina; Francisco J. Perez-Pinal; Juan Prado-Olivares; Saúl Martínez-Díaz; Oscar-Octavio Gutiérrez-Frías. 2019. "New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements." Applied Sciences 9, no. 8: 1691.

Research article
Published: 07 April 2019 in Journal of Sensors
Reads 0
Downloads 0

The ripening process in bananas causes the waste of a significant part of the production of this fruit. The aim of this research is to find a new technique useful for identifying, registering, and quantifying the ripening process of a banana (Musa AAB Simmonds) at the seventh stage of the growing process. This quantification is proposed with a nondestructive technique based on processing multispectral images. This experiment used a set of multispectral imagery registered in a range of 270-1000 nm (from UV to IR) with the aid of a monochromatic camera and a set of 10 optical filters. Multispectral images were analyzed with three different techniques: Fourier fractal analysis, Hotelling transform, and homogeneity texture analysis based on cooccurrence matrix. First, a characteristic index was computed for each technique for a daily set of multispectral imagery. These indexes are slope index, for Fourier fractals; the average of the computed eigenvalues, with Hotelling transform; and the texture homogeneity value. These indexes were evaluated using the behavior of the resulting graphs for a seven-day period, being preferred those graphs with a tendency of decreasing values. Finally, the repeatability of each technique was evaluated by reproducing similar values for each day during the evaluation period. These three methods will be compared in this article in order to select the one with the best performance for measuring the ripening process in bananas. The obtained results show that it is possible to effectively isolate the brown spots from the banana peel with the Hotelling transform by using only 2 optical filters: visible (410-690 nm) and Near-IR (820-910 nm). With the resulting spectral image fusion it was possible to effectively describe the evolution of the brown spots present in the ripening process through the texture homogeneity criteria.

ACS Style

Mauro Santoyo-Mora; Agustin Sancen-Plaza; Alejandro Espinosa-Calderon; Alejandro Israel Barranco-Gutierrez; Juan Prado-Olivarez. Nondestructive Quantification of the Ripening Process in Banana (Musa AAB Simmonds) Using Multispectral Imaging. Journal of Sensors 2019, 2019, 1 -12.

AMA Style

Mauro Santoyo-Mora, Agustin Sancen-Plaza, Alejandro Espinosa-Calderon, Alejandro Israel Barranco-Gutierrez, Juan Prado-Olivarez. Nondestructive Quantification of the Ripening Process in Banana (Musa AAB Simmonds) Using Multispectral Imaging. Journal of Sensors. 2019; 2019 ():1-12.

Chicago/Turabian Style

Mauro Santoyo-Mora; Agustin Sancen-Plaza; Alejandro Espinosa-Calderon; Alejandro Israel Barranco-Gutierrez; Juan Prado-Olivarez. 2019. "Nondestructive Quantification of the Ripening Process in Banana (Musa AAB Simmonds) Using Multispectral Imaging." Journal of Sensors 2019, no. : 1-12.

Journal article
Published: 01 January 2019 in IEICE Electronics Express
Reads 0
Downloads 0

Convolutional Neuronal Networks (CNN) implementation on embedded devices is restricted due to the number of layers of some CNN models. In this context, this paper describes a novel architecture based on Layer Operation Chaining (LOC) which uses fewer convolvers than convolution layers. A reutilization of hardware convolvers is promoted through kernel decomposition. Thus, an architectural design with reduced resources utilization is achieved, suitable to be implemented on low-end devices as a solution for portable classification applications. Experimental results show that the proposed design has a competitive processing time and overcomes resource utilization when compared with state-of-the-art related works.

ACS Style

Moisés Arredondo; Javier Diaz-Carmona; Cesar Torres-Huitzil; Alejandro-Israel Barranco-Gutierrez; Alfredo Padilla-Medina; Juan Prado-Olivarez. A streaming accelerator of Convolutional Neural Networks for resource-limited applications. IEICE Electronics Express 2019, 16, 20190633 -20190633.

AMA Style

Moisés Arredondo, Javier Diaz-Carmona, Cesar Torres-Huitzil, Alejandro-Israel Barranco-Gutierrez, Alfredo Padilla-Medina, Juan Prado-Olivarez. A streaming accelerator of Convolutional Neural Networks for resource-limited applications. IEICE Electronics Express. 2019; 16 (23):20190633-20190633.

Chicago/Turabian Style

Moisés Arredondo; Javier Diaz-Carmona; Cesar Torres-Huitzil; Alejandro-Israel Barranco-Gutierrez; Alfredo Padilla-Medina; Juan Prado-Olivarez. 2019. "A streaming accelerator of Convolutional Neural Networks for resource-limited applications." IEICE Electronics Express 16, no. 23: 20190633-20190633.

Special issue article
Published: 29 June 2018 in Computer Applications in Engineering Education
Reads 0
Downloads 0

This work presents the development of a virtual tool used in the power management of a microgrid connected to a PV arrangement. The virtual tool proposes five different control strategies used as main power management controller. Those strategies can be selected and compared to evaluate their different time responses and overall characteristics. In addition, results of an integrative evaluation of the virtual tool is reported, which was conducted using different Learning Gain Surveys. It was found that this pedagogical approach was appreciated by students and they learned the main concepts in spite of this methodology was new for them. Final recommendation and conclusions are provided at the end of this paper.

ACS Style

Juan J. Martínez Nolasco; José A. Padilla Medina; Alejandro I. Barranco Gutiérrez; Francisco J. Pérez Pinal; Juan Prado Olivares; Carlos A. Herrera Ramírez. Design of an analysis virtual tool for PV sourced microgrid systems. Computer Applications in Engineering Education 2018, 26, 1653 -1667.

AMA Style

Juan J. Martínez Nolasco, José A. Padilla Medina, Alejandro I. Barranco Gutiérrez, Francisco J. Pérez Pinal, Juan Prado Olivares, Carlos A. Herrera Ramírez. Design of an analysis virtual tool for PV sourced microgrid systems. Computer Applications in Engineering Education. 2018; 26 (5):1653-1667.

Chicago/Turabian Style

Juan J. Martínez Nolasco; José A. Padilla Medina; Alejandro I. Barranco Gutiérrez; Francisco J. Pérez Pinal; Juan Prado Olivares; Carlos A. Herrera Ramírez. 2018. "Design of an analysis virtual tool for PV sourced microgrid systems." Computer Applications in Engineering Education 26, no. 5: 1653-1667.

Research article
Published: 05 March 2018 in Mathematical Problems in Engineering
Reads 0
Downloads 0

The need for reconfigurable, high power density, and low-cost configurations of DC-DC power electronic converters (PEC) in areas such as the transport electrification and the use of renewable energy has spread out the requirement to incorporate in a single circuit several topologies, which generally result in an increment of complexity about the modeling, control, and stability analyses. In this paper, a reconfigurable topology is presented which can be applied in alterative/changing power conversion scenarios and consists of a reconfigurable Buck, Boost, and Buck-Boost DC-DC converter (RBBC). A unified averaged model of the RBBC is obtained, a robust controller is designed through a polytopic representation, and a Lyapunov based switched stability analysis of the closed-loop system is presented. The reported RBBC provides a wide range of voltage operation, theoretically from -∞ to ∞ volts with a single power source. Robust stability, even under arbitrarily fast (bounded) parameter variations and reconfiguration changes, is reported including numerical and experimental results. The main advantages of the converter and the robust controller proposed are simple design, robustness against abrupt changes in the parameters, and low cost.

ACS Style

Martín Antonio Rodríguez Licea; Francisco Javier Perez Pinal; Alejandro Israel Barranco Gutiérrez; Carlos Alonso Herrera Ramírez; Jose Cruz Nunez Perez. A Reconfigurable Buck, Boost, and Buck-Boost Converter: Unified Model and Robust Controller. Mathematical Problems in Engineering 2018, 2018, 1 -8.

AMA Style

Martín Antonio Rodríguez Licea, Francisco Javier Perez Pinal, Alejandro Israel Barranco Gutiérrez, Carlos Alonso Herrera Ramírez, Jose Cruz Nunez Perez. A Reconfigurable Buck, Boost, and Buck-Boost Converter: Unified Model and Robust Controller. Mathematical Problems in Engineering. 2018; 2018 ():1-8.

Chicago/Turabian Style

Martín Antonio Rodríguez Licea; Francisco Javier Perez Pinal; Alejandro Israel Barranco Gutiérrez; Carlos Alonso Herrera Ramírez; Jose Cruz Nunez Perez. 2018. "A Reconfigurable Buck, Boost, and Buck-Boost Converter: Unified Model and Robust Controller." Mathematical Problems in Engineering 2018, no. : 1-8.

Research article
Published: 04 February 2018 in International Journal of Photoenergy
Reads 0
Downloads 0

This study presents the development and application of a fuzzy control system (FCS) for the control of the charge and discharge process for a bank of batteries connected to a DC microgrid (DC-MG). The DC-MG runs on a maximum power of 1 kW with a 190 V DC bus using two photovoltaic systems of 0.6 kW each, a 1 kW bidirectional DC-AC converter to interconnect the DC-MG with the grid, a bank of 115 Ah to 120 V lead-acid batteries, and a general management system used to define the operating status of the FCS. This FCS uses a multiplexed fuzzy controller, normalizing the controller’s inputs and outputs in each operating status. The design of the fuzzy controller is based on a Mamdani inference system with AND-type fuzzy rules. The input and output variables have two trapezoidal membership functions and three triangular membership functions. LabVIEW and the NI myRIO-1900 embedded design device were used to implement the FCS. Results show the stability of the DC bus of the microgrid when the bank of batteries is in the charging and discharging process, with the bus stabilized in a range of 190 V ± 5%, thus demonstrating short response times to perturbations considering the microgrid’s response dynamics.

ACS Style

Juan José Martínez; José Alfredo Padilla-Medina; Sergio Cano-Andrade; Agustín Sancen; Juan Prado; Alejandro I. Barranco. Development and Application of a Fuzzy Control System for a Lead-Acid Battery Bank Connected to a DC Microgrid. International Journal of Photoenergy 2018, 2018, 1 -14.

AMA Style

Juan José Martínez, José Alfredo Padilla-Medina, Sergio Cano-Andrade, Agustín Sancen, Juan Prado, Alejandro I. Barranco. Development and Application of a Fuzzy Control System for a Lead-Acid Battery Bank Connected to a DC Microgrid. International Journal of Photoenergy. 2018; 2018 ():1-14.

Chicago/Turabian Style

Juan José Martínez; José Alfredo Padilla-Medina; Sergio Cano-Andrade; Agustín Sancen; Juan Prado; Alejandro I. Barranco. 2018. "Development and Application of a Fuzzy Control System for a Lead-Acid Battery Bank Connected to a DC Microgrid." International Journal of Photoenergy 2018, no. : 1-14.

Journal article
Published: 03 January 2018 in Energies
Reads 0
Downloads 0

The reconfigurable power electronic converters (RPECs) are a new generation of systems, which modify their physical configuration in terms of a desired input or output operation characteristic. This kind of converters is very attractive in terms of versatility, compactness, and robustness. They have been proposed in areas such as illumination, transport electrification (TE), eenewable energy (RE), smart grids and the internet of things (IoT). However, the resulting converters operate in switched variable operation-regions, rather than over single operation points. As a result, there is a complexity increment on the modeling and control stage such that traditional techniques are no longer valid. In order to overcome these challenges, this paper proposes a kind of switched polytopic controller (SPC) suitable to stabilize an RPEC. Modeling, control, numerical and practical results are reported. To this end, a 400 W positive synchronous bi-directional buck/boost converter is used as a testbed. It is also shown, that the proposed converter and robust controller accomplish a compact, modular and reliable design during different working configuration, operation points and load changes.

ACS Style

Martín-A. Rodríguez-Licea; Francisco-J. Perez-Pinal; Alejandro-I. Barranco-Gutiérrez; Jose-C. Nuñez-Perez. Switched Polytopic Controller Applied on a Positive Reconfigurable Power Electronic Converter. Energies 2018, 11, 116 .

AMA Style

Martín-A. Rodríguez-Licea, Francisco-J. Perez-Pinal, Alejandro-I. Barranco-Gutiérrez, Jose-C. Nuñez-Perez. Switched Polytopic Controller Applied on a Positive Reconfigurable Power Electronic Converter. Energies. 2018; 11 (1):116.

Chicago/Turabian Style

Martín-A. Rodríguez-Licea; Francisco-J. Perez-Pinal; Alejandro-I. Barranco-Gutiérrez; Jose-C. Nuñez-Perez. 2018. "Switched Polytopic Controller Applied on a Positive Reconfigurable Power Electronic Converter." Energies 11, no. 1: 116.

Proceedings article
Published: 01 November 2017 in 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)
Reads 0
Downloads 0

In this article is presented an electronic experimental platform or kit; this platform consists of an electronic circuit board, a handlebar position-sensor and a capacitive sensor on the front wheel. The platform is intended to obtain a set of linear mathematical models of an electric tricycle for different driving situations. Such models have the throttle-position and the handlebar-angle as inputs and the yaw angle, positioning and speed as states. The models are calculated in realtime, at the same time acquisition data is preserved in a SD-memory if desired. Applications of this platform are dynamical modeling, educational purposes, safety systems and autonomous vehicles control design among others. This low-cost platform can be adapted to any electric tricycle and extended for its use on e-bicycles and electric 4-wheeled vehicles.

ACS Style

M. Rodriguez-Licea; A. Barranco-Gutierrez; F. Perez-Pinal; J. G. Parada-Salado. Online switched model identification platform for an electric tricycle. 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) 2017, 1 -6.

AMA Style

M. Rodriguez-Licea, A. Barranco-Gutierrez, F. Perez-Pinal, J. G. Parada-Salado. Online switched model identification platform for an electric tricycle. 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). 2017; ():1-6.

Chicago/Turabian Style

M. Rodriguez-Licea; A. Barranco-Gutierrez; F. Perez-Pinal; J. G. Parada-Salado. 2017. "Online switched model identification platform for an electric tricycle." 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) , no. : 1-6.

Conference paper
Published: 01 November 2017 in 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)
Reads 0
Downloads 0

In this paper, it is reported the model and control of an obstacle detection system (ODS) for an electric three-wheeled vehicle. The model analysis and considerations are derived in a similar way to the well-known bicycle case. A typical scenario, that simulates several road conditions, is considered to evaluate the proposed ODS's Fuzzy Logic Controller. Numerical simulations show that the reported controller is able to avoid obstacles and evading the roll-over condition.

ACS Style

J.G. Parada-Salado; M. Rodriguez-Licea; F.J. Perez-Pinal; A. I. Barranco-Gutiérrez. Obstacle detection system fuzzy controller applied to an electric three-wheeled vehicle. 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) 2017, 1 -6.

AMA Style

J.G. Parada-Salado, M. Rodriguez-Licea, F.J. Perez-Pinal, A. I. Barranco-Gutiérrez. Obstacle detection system fuzzy controller applied to an electric three-wheeled vehicle. 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). 2017; ():1-6.

Chicago/Turabian Style

J.G. Parada-Salado; M. Rodriguez-Licea; F.J. Perez-Pinal; A. I. Barranco-Gutiérrez. 2017. "Obstacle detection system fuzzy controller applied to an electric three-wheeled vehicle." 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) , no. : 1-6.

Journal article
Published: 01 January 2017 in DYNA
Reads 0
Downloads 0
ACS Style

Alejandro-Israel Barranco-Gutierrez; Andres Miguel Rosales Andrade; Saul Martinez Diaz; Alfredo Padilla Medina; Francisco Perez-Pinal. IMPLEMENTACIÓN EN ANDROID DEL MÉTODO "ESTRUCTURA DESDE EL MOVIMIENTO". DYNA 2017, 92, 379 -379.

AMA Style

Alejandro-Israel Barranco-Gutierrez, Andres Miguel Rosales Andrade, Saul Martinez Diaz, Alfredo Padilla Medina, Francisco Perez-Pinal. IMPLEMENTACIÓN EN ANDROID DEL MÉTODO "ESTRUCTURA DESDE EL MOVIMIENTO". DYNA. 2017; 92 (1):379-379.

Chicago/Turabian Style

Alejandro-Israel Barranco-Gutierrez; Andres Miguel Rosales Andrade; Saul Martinez Diaz; Alfredo Padilla Medina; Francisco Perez-Pinal. 2017. "IMPLEMENTACIÓN EN ANDROID DEL MÉTODO "ESTRUCTURA DESDE EL MOVIMIENTO"." DYNA 92, no. 1: 379-379.

Conference paper
Published: 01 December 2016 in 2016 Future Technologies Conference (FTC)
Reads 0
Downloads 0

Image matching is an area of intensive research. Among others, correlation methods have been used widely for this purpose. In literature several correlation filters have been proposed for image matching. Traditionally linear correlation is applied among the images, however the operation is not robust when images are corrupted with non-Gaussian noise. On the other hand, many recognition systems are based on grayscale images, although color images provide more information. In this paper we propose the use of morphological correlation combined with nonlinear filters for robust color image recognition. Traditionally, this scheme required threshold decomposition of grayscale images and correlation of each pair of binary slices. In order to reduce the great amount of binary correlations needed, we derive an expression to compute a single correlation between the grayscale images Performance of the proposed technique is compared with that of linear and nonlinear filters in terms of discrimination capability. Computer simulation results are provided and discussed.

ACS Style

Saul Martinez-Diaz; Alejandro-Israel Barranco-Gutierrez. Morphological correlation for color image matching. 2016 Future Technologies Conference (FTC) 2016, 516 -520.

AMA Style

Saul Martinez-Diaz, Alejandro-Israel Barranco-Gutierrez. Morphological correlation for color image matching. 2016 Future Technologies Conference (FTC). 2016; ():516-520.

Chicago/Turabian Style

Saul Martinez-Diaz; Alejandro-Israel Barranco-Gutierrez. 2016. "Morphological correlation for color image matching." 2016 Future Technologies Conference (FTC) , no. : 516-520.

Conference paper
Published: 01 June 2016 in 2016 IEEE Transportation Electrification Conference and Expo (ITEC)
Reads 0
Downloads 0

Cascaded buck converter has been widely reported in the power electronics literature. The main features are a high voltage step-down ratio and large regulation range. Modeling of this converter has been also reported for a two and n stage cases. Continuous conduction mode (CCM), same switching commutation instant (D1= D2), and similar behavior than a single buck stage have been considered to size its parameters. In addition, it has been reported that once a duty cycle is close to 0 or 1, a degradation of the output voltage and inductor current take place. However, a little effort has been done to correctly size its parameters when they commutate at the same or different switching rates (D1= D2, D1<; D2, D1> D2), and it maintains a final voltage step-down ratio. Therefore, this paper reports the design stages to size its parameters in CCM for the overall cases (D1=D2, D1<; D2 and D1> D2). Numerical simulations for a two stage 100W buck converter are reported.

ACS Style

Ricardo Aguilar-Najar; Francisco Perez-Pinal; Gabriela Lara-Salazar; Carlos Herrera-Ramirez; Alejandro Barranco-Gutierrez. Cascaded buck converter: A reexamination. 2016 IEEE Transportation Electrification Conference and Expo (ITEC) 2016, 1 -5.

AMA Style

Ricardo Aguilar-Najar, Francisco Perez-Pinal, Gabriela Lara-Salazar, Carlos Herrera-Ramirez, Alejandro Barranco-Gutierrez. Cascaded buck converter: A reexamination. 2016 IEEE Transportation Electrification Conference and Expo (ITEC). 2016; ():1-5.

Chicago/Turabian Style

Ricardo Aguilar-Najar; Francisco Perez-Pinal; Gabriela Lara-Salazar; Carlos Herrera-Ramirez; Alejandro Barranco-Gutierrez. 2016. "Cascaded buck converter: A reexamination." 2016 IEEE Transportation Electrification Conference and Expo (ITEC) , no. : 1-5.

Conference paper
Published: 01 June 2016 in 2016 13th International Conference on Power Electronics (CIEP)
Reads 0
Downloads 0

This paper presents an integrated positive synchronous bidirectional buck/boost converter (IPSBBBC), which can be applied to renewable energy (RE) and electric transportation (ET) systems. The proposed converter implements different energy sources, achieves positive output voltage without supplementary transformer, accepts bidirectional energy flow, and it allows discharge or recharge the storage unit by using another external source. The proposed converter accomplishes a compact, modular and reliable design, which lets implementing state of the art classical or high performance controllers. Operation principle is analyzed at different working operation modes using idealized waveforms, fixed frequency and continuous conduction mode. In addition, it is also shown numerical and practical results obtained with a 100W test bed prototype.

ACS Style

Ricardo Aguilar-Najar; Francisco J. Perez-Pinal; Carlos Herrera-Ramirez; A. I. Barranco-Gutiérrez. Novel positive integrated converter. 2016 13th International Conference on Power Electronics (CIEP) 2016, 41 -46.

AMA Style

Ricardo Aguilar-Najar, Francisco J. Perez-Pinal, Carlos Herrera-Ramirez, A. I. Barranco-Gutiérrez. Novel positive integrated converter. 2016 13th International Conference on Power Electronics (CIEP). 2016; ():41-46.

Chicago/Turabian Style

Ricardo Aguilar-Najar; Francisco J. Perez-Pinal; Carlos Herrera-Ramirez; A. I. Barranco-Gutiérrez. 2016. "Novel positive integrated converter." 2016 13th International Conference on Power Electronics (CIEP) , no. : 41-46.

Journal article
Published: 21 March 2016 in IEEE Latin America Transactions
Reads 0
Downloads 0

This paper presents the development of an experimental B-learning laboratory for an electrical machines undergraduate course. A custom conditioning signal board was developed from scratch that fits a low-cost data acquisition board used to interact with the LabVIEW real time target. In addition a friendly graphical user interface was developed that allows real time remote user interaction. The system was developed and fully tested in a standard Lucas-Nulle 300W electrical machines module. It is shown that the resulting system can be extended to other modules already in the market, and the conditioning signal board adapted to other electrical engineering courses.

ACS Style

Francisco Perez-Pinal; S. Nava; J. C. Nunez; Ismael Araujo-Vargas; E. Vera; Alejandro-Israel Barranco-Gutierrez. Experimental B-learning laboratory for an electrical machines undergraduate course. IEEE Latin America Transactions 2016, 14, 524 -529.

AMA Style

Francisco Perez-Pinal, S. Nava, J. C. Nunez, Ismael Araujo-Vargas, E. Vera, Alejandro-Israel Barranco-Gutierrez. Experimental B-learning laboratory for an electrical machines undergraduate course. IEEE Latin America Transactions. 2016; 14 (2):524-529.

Chicago/Turabian Style

Francisco Perez-Pinal; S. Nava; J. C. Nunez; Ismael Araujo-Vargas; E. Vera; Alejandro-Israel Barranco-Gutierrez. 2016. "Experimental B-learning laboratory for an electrical machines undergraduate course." IEEE Latin America Transactions 14, no. 2: 524-529.