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| Author | Wilton Agila; Ricardo Cajo; Douglas Plaza | ||||
| Title | Experts Agents in PEM Fuel Cell Control | Type | Conference Article | ||
| Year | 2015 | Publication | 4ta International Conference on Renewable Energy Research and Applications | Abbreviated Journal | |
| Volume | Issue | Pages  |
896 - 900 | ||
| Keywords | s- PEM Fuel Cell; Expert Agent; Perceptive Agents; Acting Agent; Fuzzy Controller | ||||
| Abstract | In the control of the PEM (Proton Exchange Membrane) fuel cell, the existence of both deliberative and reactive processes that facilitate the tasks of control resulting from a wide range of operating scenarios and range of conditions it is required. The latter is essential to adjust its parameters to the multiplicity of circumstances that may occur in the operation of the PEM stack. In this context, the design and development of an expert-agents based architecture for autonomous control of the PEM stack in top working conditions is presented. The architecture integrates perception and control algorithms using sensory and context information. It is structured in a hierarchy of levels with different time window and level of abstraction. The monitoring model and autonomic control of PEM stack has been validated with different types of PEM stacks and operating conditions demonstrating high reliability in achieving the objective of the proposed energy efficiency. Dynamic control of the wetting of the membrane is a clear example. | ||||
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| Publisher | IEEE | Place of Publication | Palermo, Italy | Editor | |
| Language | English | Summary Language | English | Original Title | |
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| Area | Expedition | Conference | 2015 International Conference on Renewable Energy Research and Applications (ICRERA) | ||
| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 46 | ||
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| Author | Cristhian A. Aguilera; Angel D. Sappa; Ricardo Toledo | ||||
| Title | Cross-Spectral Local Descriptors via Quadruplet Network | Type | Journal Article | ||
| Year | 2017 | Publication | In Sensors Journal | Abbreviated Journal | |
| Volume | Vol. 17 | Issue | Pages |
pp. 873 | |
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 64 | ||
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| Author | Jorge L. Charco, Angel D. Sappa, Boris X. Vintimilla | ||||
| Title | Human Pose Estimation through A Novel Multi-View Scheme | Type | Conference Article | ||
| Year | 2022 | Publication | Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 | Abbreviated Journal | |
| Volume | 5 | Issue | Pages |
855-862 | |
| Keywords | Multi-View Scheme, Human Pose Estimation, Relative Camera Pose, Monocular Approach | ||||
| Abstract | This paper presents a multi-view scheme to tackle the challenging problem of the self-occlusion in human pose estimation problem. The proposed approach first obtains the human body joints of a set of images, which are captured from different views at the same time. Then, it enhances the obtained joints by using a multi-view scheme. Basically, the joints from a given view are used to enhance poorly estimated joints from another view, especially intended to tackle the self occlusions cases. A network architecture initially proposed for the monocular case is adapted to be used in the proposed multi-view scheme. Experimental results and comparisons with the state-of-the-art approaches on Human3.6m dataset are presented showing improvements in the accuracy of body joints estimations. |
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| Notes | Approved | yes | |||
| Call Number | cidis @ cidis @ | Serial | 169 | ||
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| Author | Patricia Suarez, Angel D. Sappa | ||||
| Title | A Generative Model for Guided Thermal Image Super-Resolution | Type | Conference Article | ||
| Year | 2024 | Publication | Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024) Rome 27 – 29 February 2024 | Abbreviated Journal | |
| Volume | Vol. 3: VISAPP | Issue | Pages |
765-771 | |
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 240 | ||
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| Author | Silva Steven, Paillacho Dennys, Verdezoto Nervo, Hernandez Juan David | ||||
| Title | TOWARDS ONLINE SOCIALLY ACCEPTABLE ROBOT NAVIGATION | Type | Conference Article | ||
| Year | 2022 | Publication | IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, | Abbreviated Journal | |
| Volume | 2022-August | Issue | Pages |
707-714 | |
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 199 | ||
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| Author | Rafael E. Rivadeneira, Angel D. Sappa and Boris X. Vintimilla | ||||
| Title | Multi-Image Super-Resolution for Thermal Images. | Type | Conference Article | ||
| Year | 2022 | Publication | Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 | Abbreviated Journal | |
| Volume | 4 | Issue | Pages |
635 - 642 | |
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 181 | ||
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| Author | Miguel A. Murillo, Julio E. Alvia, & Miguel Realpe | ||||
| Title | Beyond visual and radio line of sight UAVs monitoring system through open software in a simulated environment. | Type | Conference Article | ||
| Year | 2021 | Publication | The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communications in Computer and Information Science | Abbreviated Journal | |
| Volume | 1388 | Issue | Pages |
629-642 | |
| Keywords | Drone, Open Source, Internet, Web Application, Web Server, SITL, Line of sight, UAV. | ||||
| Abstract | The problem of loss of line of sight when operating drones has be-come a reality with adverse effects for professional and amateur drone opera-tors, since it brings technical problems such as loss of data collected by the de-vice in one or more instants of time during the flight and even misunderstand-ings of legal nature when the drone flies over prohibited or private places. This paper describes the implementation of a drone monitoring system using the In-ternet as a long-range communication network in order to avoid the problem of loss of communication between the ground station and the device. For this, a simulated environment is used through an appropriate open software tool. The operation of the system is based on a client that makes requests to a server, the latter in turn communicates with several servers, each of which has a drone connected to it. In the proposed system when a drone is ready to start a flight, its server informs the main server of the system, which in turn gives feedback to the client informing it that the device is ready to carry out the flight; this way customers can send a mission to the device and keep track of its progress in real time on the screen of their web application. | ||||
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| Language | English | Summary Language | Original Title | ||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 186 | ||
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| Author | Rosero Vasquez Shendry | ||||
| 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. | Type | Journal Article | ||
| Year | 2020 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages |
615-625 | ||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 145 | ||
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| Author | N. Onkarappa; Cristhian A. Aguilera; B. X. Vintimilla; Angel D. Sappa | ||||
| Title | Cross-spectral Stereo Correspondence using Dense Flow Fields | Type | Conference Article | ||
| Year | 2014 | Publication | Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2014 | Abbreviated Journal | |
| Volume | 3 | Issue | Pages |
613 - 617 | |
| Keywords | Cross-spectral Stereo Correspondence, Dense Optical Flow, Infrared and Visible Spectrum | ||||
| Abstract | This manuscript addresses the cross-spectral stereo correspondence problem. It proposes the usage of a dense flow field based representation instead of the original cross-spectral images, which have a low correlation. In this way, working in the flow field space, classical cost functions can be used as similarity measures. Preliminary experimental results on urban environments have been obtained showing the validity of the proposed approach. | ||||
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| Publisher | IEEE | Place of Publication | Editor | ||
| Language | English | Summary Language | English | Original Title | |
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| Area | Expedition | Conference | 2014 International Conference on Computer Vision Theory and Applications (VISAPP) | ||
| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 27 | ||
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| Author | Miguel Realpe; Jonathan S. Paillacho Corredores; Joe Saverio & Allan Alarcon | ||||
| 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 | ||
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| 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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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 116 | ||
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