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Author Wilton Agila; Gomer Rubio; Francisco Vidal; B. Lima pdf  openurl
  Title Real time Qualitative Model for estimate Water content in PEM Fuel Cell Type Conference Article
  Year 2019 Publication 8th International Conference on Renewable Energy Research and Applications (ICRERA 2019); Brasov, Rumania Abbreviated Journal  
  Volume Issue Pages 455-459  
  Keywords  
  Abstract To maintain optimum performance of the electrical

response of a fuel cell, a real time identification of the

malfunction situations is required. Critical fuel cell states depend,

among others, on the variable demand of electric load and are

directly related to the membrane hydration level. The real time

perception of relevant states in the PEM fuel cell states space, is

still a challenge for the PEM fuel cell control systems. Current

work presents the design and implementation of a methodology

based upon fuzzy decision techniques that allows real time

characterization of the dehydration and flooding states of a PEM

fuel cell. Real time state estimation is accomplished through a

perturbation-perception process on the PEM fuel cell and further

on voltage oscillation analysis. The real time implementation of

the perturbation-perception algorithm to detect PEM fuel cell

critical states is a novelty and a step forwards the control of the

PEM fuel cell to reach and maintain optimal performance.
 
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  Call Number gtsi @ user @ Serial 109  
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Author G.A. Rubio; Wilton Agila pdf  openurl
  Title Sustainable Energy: A Strategic View of Fuel Cells Type Conference Article
  Year 2019 Publication 8th International Conference on Renewable Energy Research and Applications (ICRERA 2019); Brasov, Rumania Abbreviated Journal  
  Volume Issue Pages 239-243  
  Keywords  
  Abstract Based on the model of the proton exchange fuel cell in a strategic context,

this document develops the issue of energy as one of the pillars to achieve the

sustainability of our planet, considering the future scenarios up to the year 2060 of the

situation energy, hydrogen as a strategic vector and the contribution of the fuel cell in

solving the serious problems of environmental pollution and economic inequity that

humanity faces; for its application in the energy generation, telecommunications and

vehicle manufacturing industries.
 
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 110  
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Author G.A. Rubio; Wilton Agila pdf  openurl
  Title Transients analysis in Proton Exchange Membrane Fuel Cells: A critical review Type Conference Article
  Year 2019 Publication 8th International Conference on Renewable Energy Research and Applications (ICRERA 2019); Brasov, Rumania Abbreviated Journal  
  Volume Issue Pages 249-252  
  Keywords  
  Abstract When a proton exchange fuel cell operates it produces in addition to electrical

energy, heat and water as sub products, which impact on the performance of the cell. This

paper analyzes the issue of transients and proposes a model that describes the dynamic

operation of the fuel cell. The model considers the transients produced by electrochemical

reactions, by flow water and by heat transfer. Two-phase flow transients result in

increased the parasitic power losses and thermal transients may result in flooding or dryout of the GDL and membrane, understanding transient behavior is critical for reliable

and predictable performance from the cell.
 
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  Call Number gtsi @ user @ Serial 111  
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Author Raul A. Mira; Patricia L. Suarez; Rafael E. Rivadeneira; Angel D. Sappa pdf  openurl
  Title PETRA: A Crowdsourcing-Based Platform for Rocks Data Collection and Characterization Type Conference Article
  Year 2019 Publication IEEE ETCM 2019 Fourth Ecuador Technical Chapters Meeting; Guayaquil, Ecuador Abbreviated Journal  
  Volume Issue Pages 1-6  
  Keywords  
  Abstract This paper presents details of a distributed platform intended for data acquisition, evaluation, storage and visualization, which is fully implemented under the crowdsourcing paradigm. The proposed platform is the result from collaboration between computer science and petrology researchers and it is intended for academic purposes. The platform is designed within a MTV (Model, Template and View) architecture and also designed for a collaborative data store and managing of rocks from multiple readers and writers, taking advantage of ubiquity of web applications, and neutrality of researchers from different

communities to validate the data. The platform is being used and validated by students and academics from our university; in the near future it will be open to other users interested on this topic.
 
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 112  
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Author Sebastián Fuenzalida; Keyla Toapanta; Jonathan S. Paillacho Corredores; Dennys Paillacho pdf  openurl
  Title Forward and Inverse Kinematics of a Humanoid Robot Head for Social Human Robot-Interaction Type Conference Article
  Year 2019 Publication IEEE ETCM 2019 Fourth Ecuador Technical Chapters Meeting; Guayaquil, Ecuador Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract This paper presents an analysis of forward and inverse kinematics for a humanoid robotic head. The robotic head is used for the study of social human-robot interaction, such as a support tool to maintain the attention of patients with Autism Spectrum Disorder. The design of a parallel robot that emulates human head movements through a closed structure is presented. The position and orientation in this space is controlled by three servomotors. For this, the solutions made for the kinematic problem are encompassed by a geometric analysis of a mobile base. This article describes a non-systematic method,

called the geometric method, and compares some of the most popular existing methods considering reliability and computational cost. The geometric method avoids the use of changing reference systems, and instead uses geometric

relationships to directly obtain the position based on joint variables; and the other way around. Therefore, it converges in a few iterations and has a low computational cost.
 
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 113  
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Author Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla pdf  openurl
  Title Image patch similarity through a meta-learning metric based approach Type Conference Article
  Year 2019 Publication 15th International Conference on Signal Image Technology & Internet based Systems (SITIS 2019); Sorrento, Italia Abbreviated Journal  
  Volume Issue Pages 511-517  
  Keywords  
  Abstract Comparing images regions are one of the core methods used on computer vision for tasks like image classification, scene understanding, object detection and recognition. Hence, this paper proposes a novel approach to determine similarity of image regions (patches), in order to obtain the best representation of image patches. This problem has been studied by many researchers presenting different approaches, however, the ability to find the better criteria to measure the similarity on image regions are still a challenge. The present work tackles this problem using a few-shot metric based meta-learning framework able to compare image regions and determining a similarity measure to decide if there is similarity between the compared patches. Our model is training end-to-end from scratch. Experimental results

have shown that the proposed approach effectively estimates the similarity of the patches and, comparing it with the state of the art approaches, shows better results.
 
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 115  
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Author Miguel Realpe; Jonathan S. Paillacho Corredores; Joe Saverio & Allan Alarcon pdf  openurl
  Title Open Source system for identification of corn leaf chlorophyll contents based on multispectral images Type Conference Article
  Year 2019 Publication International Conference on Applied Technologies (ICAT 2019); Quito, Ecuador Abbreviated Journal  
  Volume Issue Pages 572-581  
  Keywords  
  Abstract It is important for farmers to know the level of chlorophyll in plants since this depends on the treatment they should give to their crops. There are two common classic methods to get chlorophyll values: from laboratory analysis and electronic devices. Both methods obtain the chlorophyll level of one sample at a time, although they can be destructive. The objective of this research is to develop a system that allows obtaining the chlorophyll level of plants using images.

Python programming language and different libraries of that language were used to develop the solution. It was decided to implement an image labeling module, a simple linear regression and a prediction module. The first module was used to create a database that links the values of the images with those of chlorophyll, which was then used to obtain linear regression in order to determine the relationship between these variables. Finally, the linear

regression was used in the prediction system to obtain chlorophyll values from the images. The linear regression was trained with 92 images, obtaining a root-mean-square error of 7.27 SPAD units. While the testing was perform using 10 values getting a maximum error of 15.5%.

It is concluded that the system is appropriate for chlorophyll contents identification of corn leaves in field tests.

However, it can also be adapted for other measurement and crops. The system can be downloaded at github.com/JoeSvr95/NDVI-Checking [1].
 
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  Call Number gtsi @ user @ Serial 116  
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Author W. Agila; Gomer Rubio; L. Miranda; D. Sanaguano pdf  openurl
  Title Open Control Architecture for the Characterization and Control of the PEM Fuel Cell Type Conference Article
  Year 2019 Publication IEEE ETCM 2019 Fourth Ecuador Technical Chapters Meeting; Guayaquil, Ecuador Abbreviated Journal  
  Volume Issue Pages 1-5  
  Keywords PEM fuel cell, Experimental System, Control Engineering.  
  Abstract Proton exchange membrane (PEM) fuel cells, are an efficient and clean source of electrical energy. The analysis of its operation requires experimental work, which allows measuring, modeling and optimizing PEM fuel cells electrical behavior under different operating conditions. Therefore, having an experimentation platform that allows to easily carry out its study and control is essential. This research presents the design and development of an open instrumental system that allows measuring, controlling and determining the operating parameters of a PEM fuel cell. As results, the polarization curves, voltage-current, obtained by the system itself in different experimental conditions are shown. These curves are a very useful tool to evaluate the electrical behavior of the PEM battery.  
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 118  
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Author Santos V.; Angel D. Sappa.; Oliveira M. & de la Escalera A. pdf  openurl
  Title Special Issue on Autonomous Driving and Driver Assistance Systems Type Journal Article
  Year 2019 Publication In Robotics and Autonomous Systems Abbreviated Journal  
  Volume 121 Issue Pages  
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 119  
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Author Jorge L. Charco; Angel D. Sappa; Boris X. Vintimilla; Henry O. Velesaca pdf  isbn
openurl 
  Title Transfer Learning from Synthetic Data in the Camera Pose Estimation Problem Type Conference Article
  Year 2020 Publication The 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020); Valletta, Malta; 27-29 Febrero 2020 Abbreviated Journal  
  Volume 4 Issue Pages 498-505  
  Keywords Relative Camera Pose Estimation, Siamese Architecture, Synthetic Data, Deep Learning, Multi-View Environments, Extrinsic Camera Parameters.  
  Abstract This paper presents a novel Siamese network architecture, as a variant of Resnet-50, to estimate the relative camera pose on multi-view environments. In order to improve the performance of the proposed model

a transfer learning strategy, based on synthetic images obtained from a virtual-world, is considered. The

transfer learning consist of first training the network using pairs of images from the virtual-world scenario

considering different conditions (i.e., weather, illumination, objects, buildings, etc.); then, the learned weight

of the network are transferred to the real case, where images from real-world scenarios are considered. Experimental results and comparisons with the state of the art show both, improvements on the relative pose

estimation accuracy using the proposed model, as well as further improvements when the transfer learning

strategy (synthetic-world data – transfer learning – real-world data) is considered to tackle the limitation on

the training due to the reduced number of pairs of real-images on most of the public data sets.
 
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-989758402-2 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number gtsi @ user @ Serial 120  
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