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| Author | Benítez-Quintero J., Quevedo-Pinos O., Calderon, Fernanda | ||||
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Notes on Sulfur Fluxes in Urban Areas with Industrial Activity | Type | Conference Article | ||
| Year | 2022 | Publication | 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022, | Abbreviated Journal | |
| Volume | 2022-July | Issue | Pages | ||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 201 | ||
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| Author | Rafael E. Rivadeneira, Henry O. Velesaca, Angel D. Sappa | ||||
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Object Detection in Very Low-Resolution Thermal Images through a Guided-Based Super-Resolution Approach | Type | Conference Article | ||
| Year | 2023 | Publication | 17th International Conference On Signal Image Technology & Internet Based System | Abbreviated Journal | |
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 224 | ||
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| Author | Henry O. Velesaca, Steven Araujo, Patricia L. Suarez, Ángel Sanchez & Angel D. Sappa | ||||
| Title |
Off-the-Shelf Based System for Urban Environment Video Analytics. | Type | Conference Article | ||
| Year | 2020 | Publication | The 27th International Conference on Systems, Signals and Image Processing (IWSSIP 2020) | Abbreviated Journal | |
| Volume | 2020-July | Issue | 9145121 | Pages | 459-464 |
| Keywords | Greenhouse gases, carbon footprint, object detection, object tracking, website framework, off-the-shelf video analytics. | ||||
| Abstract | This paper presents the design and implementation details of a system build-up by using off-the-shelf algorithms for urban video analytics. The system allows the connection to public video surveillance camera networks to obtain the necessary information to generate statistics from urban scenarios (e.g., amount of vehicles, type of cars, direction, numbers of persons, etc.). The obtained information could be used not only for traffic management but also to estimate the carbon footprint of urban scenarios. As a case study, a university campus is selected to evaluate the performance of the proposed system. The system is implemented in a modular way so that it is being used as a testbed to evaluate different algorithms. Implementation results are provided showing the validity and utility of the proposed approach. |
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| Language | English | Summary Language | Original Title | ||
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| ISSN | 21578672 | ISBN | 978-172817539-3 | Medium | |
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 125 | ||
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| Author | Steven Silva, Nervo Verdezoto, Dennys Paillacho, Samuel Millan-Norman & Juan David Hernandez | ||||
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Online Social Robot Navigation in Indoor, Large and Crowded Environments. | Type | Conference Article | ||
| Year | 2023 | Publication | IEEE International Conference on Robotics and Automation (ICRA 2023) | Abbreviated Journal | |
| Volume | 2023-May | Issue | Pages | 9749 - 9756 | |
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| ISSN | 10504729 | ISBN | 979-835032365-8 | Medium | |
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 206 | ||
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| Author | W. Agila; Gomer Rubio; L. Miranda; D. Sanaguano | ||||
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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 | 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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| Call Number | gtsi @ user @ | Serial | 116 | ||
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| Author | Henry Velesaca Lara, Juan Antonio Holgado & José Miguel Gutiérrez | ||||
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Optimizing Smart Factory Operations: A Methodological Approach to Industrial System Implementation based on OPC-UA | Type | Conference Article | ||
| Year | 2024 | Publication | Accepted in CIIA – II International Conference of Applied Industrial Engineering | Abbreviated Journal | |
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 242 | ||
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| Author | Milton Mendieta; F. Panchana; B. Andrade; B. Bayot; C. Vaca; Boris X. Vintimilla; Dennis G. Romero | ||||
| Title |
Organ identification on shrimp histological images: A comparative study considering CNN and feature engineering. | Type | Conference Article | ||
| Year | 2018 | Publication | IEEE Ecuador Technical Chapters Meeting ETCM 2018. Cuenca, Ecuador | Abbreviated Journal | |
| Volume | Issue | Pages | 1-6 | ||
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| Abstract | The identification of shrimp organs in biology using histological images is a complex task. Shrimp histological images poses a big challenge due to their texture and similarity among classes. Image classification by using feature engineering and convolutional neural networks (CNN) are suitable methods to assist biologists when performing organ detection. This work evaluates the Bag-of-Visual-Words (BOVW) and Pyramid-Bagof- Words (PBOW) models for image classification leveraging big data techniques; and transfer learning for the same classification task by using a pre-trained CNN. A comparative analysis of these two different techniques is performed, highlighting the characteristics of both approaches on the shrimp organs identification problem. |
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 87 | ||
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| Author | Raul A. Mira; Patricia L. Suarez; Rafael E. Rivadeneira; Angel D. Sappa | ||||
| 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 | ||
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| 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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| Call Number | gtsi @ user @ | Serial | 112 | ||
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| Author | Suárez P. | ||||
| Title |
Processing and Representation of Multispectral Images Using Deep Learning Techniques | Type | Magazine Article | ||
| Year | 2021 | Publication | In Electronic Letters on Computer Vision and Image Analysis | Abbreviated Journal | |
| Volume | Vol. 19 | Issue | Issue 2 | Pages | pp. 5-8 |
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| Corporate Author | Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector | Thesis | Master's thesis | ||
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| Language | Español | Summary Language | Original Title | ||
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| Notes | Approved | yes | |||
| Call Number | cidis @ cidis @ | Serial | 122 | ||
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