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Author |
Morocho-Cayamcela, M.E. & W. Lim |
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Title |
Lateral confinement of high-impedance surface-waves through reinforcement learning |
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Journal Article |
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Year |
2020 |
Publication |
Electronics Letters |
Abbreviated Journal |
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Vol. 56 |
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23, 12 November 2020 |
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pp. 1262-1264 |
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Abstract |
The authors present a model-free policy-based reinforcement learning
model that introduces perturbations on the pattern of a metasurface.
The objective is to learn a policy that changes the size of the
patches, and therefore the impedance in the sides of an artificially structured
material. The proposed iterative model assigns the highest reward
when the patch sizes allow the transmission along a constrained path
and penalties when the patch sizes make the surface wave radiate to
the sides of the metamaterial. After convergence, the proposed
model learns an optimal patch pattern that achieves lateral confinement
along the metasurface. Simulation results show that the proposed
learned-pattern can effectively guide the electromagnetic wave
through a metasurface, maintaining its instantaneous eigenstate when
the homogeneity is perturbed. Moreover, the pattern learned to
prevent reflections by changing the patch sizes adiabatically. The
reflection coefficient S1, 2 shows that most of the power gets transferred
from the source to the destination with the proposed design. |
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Call Number |
cidis @ cidis @ |
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139 |
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Author |
Ortiz J.; Londono J.; Novillo F.; Ampuno A.; Chávez M. |
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Title |
Determinación de Invariantes en Grandes Centros de Datos basados en Topología Fat-Tree |
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Journal Article |
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Year |
2015 |
Publication |
Revista Politécnica |
Abbreviated Journal |
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Volume |
Vol. 35 |
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pp. 91-96 |
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Keywords |
Invariantes de red, topologías, Fat-tree, simulación, emulación |
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Abstract |
Durante los últimos años ha existido un fuerte incremento en el acceso a internet, causando que los centros de datos ( DC) deban adaptar dinámicamente su infraestructura de red de cara a enfrentar posibles problemas de congestión, la cual no siempre se da de forma oportuna. Ante esto, nuevas topologías de red se han propuesto en los últimos años, como una forma de brindar mejores condiciones para el manejo de tráfico interno, sin embargo es común que para el estudio de estas mejoras, se necesite recrear el comportamiento de un verdadero DC en modelos de simulación/emulación. Por lo tanto se vuelve esencial validar dichos modelos, de cara a obtener resultados coherentes con la realidad. Esta validación es posible por medio de la identificación de ciertas propiedades que se deducen a partir de las variables y los parámetros que describen la red, y que se mantienen en las topologías de los DC para diversos escenarios y/o configuraciones. Estas propiedades, conocidas como invariantes, son una expresión del funcionamiento de la red en ambientes reales, como por ejemplo la ruta más larga entre dos nodos o el número de enlaces mínimo que deben fallar antes de una pérdida de conectividad en alguno de los nodos de la red. En el presente trabajo se realiza la identificación, formulación y comprobación de dos invariantes para la topología Fat-Tree, utilizando como software emulador a mininet. Las conclusiones muestran resultados concordantes entre lo analítico y lo práctico. |
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Escuela Politécnica Nacional |
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Español |
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Español |
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cidis @ cidis @ |
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32 |
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Author |
Patricia L. Suarez, Dario Carpio, Angel D. Sappa |
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Title |
Enhancement of Guided Thermal Image Super-Resolution Approaches |
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Journal |
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Year |
2024 |
Publication |
Neurocomputing |
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573 |
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Neurocomputing |
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cidis @ cidis @ |
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247 |
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Author |
Patricia Súarez, Henry Velesaca, Dario Carpio & Angel Sappa |
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Title |
Corn Kernel Classification From Few Training Samples |
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Journal Article |
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Year |
2023 |
Publication |
In journal Artificial Intelligence in Agriculture |
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Vol. 9 |
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pp. 89-99 |
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25897217 |
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cidis @ cidis @ |
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223 |
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Author |
Pereira J., Mora M. & W. Agila |
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Title |
Qualitative Model to Maximize Shrimp Growth at Low Cost |
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Journal Article |
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Year |
2021 |
Publication |
5th Ecuador Technical Chapters Meeting (ETCM 2021), Octubre 12 – 15 |
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cidis @ cidis @ |
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167 |
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Author |
Rafael E. Rivadeneira, Angel Domingo Sappa, Vintimilla B. X. and Hammoud R. |
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Title |
A Novel Domain Transfer-Based Approach for Unsupervised Thermal Image Super- Resolution. |
Type |
Journal Article |
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Year |
2022 |
Publication |
Sensors |
Abbreviated Journal |
Sensors |
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Vol. 22 |
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Issue 6 |
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cidis @ cidis @ |
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170 |
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Author |
Rato D., Oliveira M., Santos V., Sappa A. & Raducanu B. |
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Title |
Multi-View 2D to 3D Lifting Video-Based Optimization: A Robust Approach for Human Pose Estimation with Occluded Joint Prediction |
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Journal Article |
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Year |
2024 |
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IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Abu Dhabi, October 14-18, 2024 |
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cidis @ cidis @ |
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255 |
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Author |
Ricaurte P; Chilán C; Cristhian A. Aguilera; Boris X. Vintimilla; Angel D. Sappa |
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Title |
Feature Point Descriptors: Infrared and Visible Spectra |
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Journal Article |
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Year |
2014 |
Publication |
Sensors Journal |
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Vol. 14 |
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pp. 3690-3701 |
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Keywords |
cross-spectral imaging; feature point descriptors |
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Abstract |
This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given. |
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Call Number |
cidis @ cidis @ |
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28 |
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Author |
Rosero Vasquez Shendry |
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Title |
Facial recognition: traditional methods vs. methods based on deep learning. Advances in Intelligent Systems and Computing – Information Technology and Systems Proceedings of ICITS 2020. |
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Journal Article |
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2020 |
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615-625 |
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cidis @ cidis @ |
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145 |
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Author |
Rubio, G.A., Agila, W.E |
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Title |
A fuzzy model to manage water in polymer electrolyte membrane fuel cells |
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Journal Article |
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2021 |
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In Processes Journal. (Article number 904) |
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Vol. 9 |
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Issue 6 |
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PEM fuel cell, fuzzy, neural network, electrical response, flooding, drying. |
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In this paper, a fuzzy model is presented to determine in real-time the degree of dehydration or flooding of a proton exchange membrane of a fuel cell, to optimize its electrical response and consequently, its autonomous operation. By applying load, current and flux variations in the dry, normal, and flooded states of the membrane, it was determined that the temporal evolution of the fuel cell voltage is characterized by changes in slope and by its voltage oscillations. The results were validated using electrochemical impedance spectroscopy and show slope changes from 0.435 to 0.52 and oscillations from 3.6 mV to 5.2 mV in the dry state, and slope changes from 0.2 to 0.3 and oscillations from 1 mV to 2 mV in the flooded state. The use of fuzzy logic is a novelty and constitutes a step towards the progressive automation of the supervision, perception, and intelligent control of fuel cells, allowing them to reduce their risks and increase their economic benefits. |
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cidis @ cidis @ |
Serial |
153 |
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