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Regulaciones, Normativas y Reglamentos [369]

Tesis Doctorales y Trabajos de Grado [2056]

Primer Concurso de Academia Uniquest 2022

Biblioteca de la Universidad de la Costa (Coorporación Universidad de la CostaBarranquilla, 2022-07-05)

Desde Biblioteca impulsamos el deporte nacional y la investigación científica con una serie especial de concursos. En esta primera versión, podrán participar en este concurso únicamente profesores activos y estudiantes de ...
Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation

William Bodah, Brian; Neckel, Alcindo; Stolfo Maculan, Laércio; Milanés Batista, Celene; Korcelski, Cleiton; Ramírez, Omar; Mendez Espinosa, Juan Felipe; Bodah, Eliane Thaine; Silva Oliveira, Marcos Leandro (Elsevier Ltd.United Kingdom, 2022-07-10)

The European Space Agency (ESA) provides opportunities for researchers on a global scale to identify gaseous pollutants using the most modern techniques of analysis by satellite images from the Sentinel-5P satellite, in ...
Diseño de un software de apoyo para impartir las clases de señales y sistemas en la Universidad de la Costa

Cantillo Pérez, Snaider Smith (Corporación Universidad de la CostaCiencia de la Computación y ElectrónicaBarranquilla, ColombiaIngeniería Electrónica, 2022)

This project presents a proposal for innovation in the classroom that aims to address the challenges and difficulties that both students and teachers present in the teaching-learning process of the Signals and Systems ...
Geochemical and morphological evaluations of organic and mineral aerosols in coal mining areas: a case study of Santa Catarina, Brazil

Akinyemi, Segun Ajayi; Oliveira, Marcos L.S.; Nyakuma, Bemgba Bevan; Dotto, Guilherme L. (MDPI AGSwitzerland, 2022-03-24)

Numerous researchers have described the correlation between the short-term contact of nano-particulate (NP) matter in diverse coal phases and amplified death or hospitalizations for breathing disorders in humans. However, ...
Intelligent deep learning-enabled autonomous small ship detection and classification model

Escorcia-Gutierrez, Jose; Gamarra, Margarita; BELEÑO SAENZ, KELVIN; Soto, Carlos; Mansour, Romany (Elsevier Ltd.United Kingdom, 2022)

Autonomous ship technologies have gained considerable interest due to the minimization of the challenging issues faced by the unpredictable errors of manual navigation, and therefore reduces human labor, increasing navigation ...

Envíos recientes

Primer Concurso de Academia Uniquest 2022
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Biblioteca de la Universidad de la Costa | 2022-07-05

Desde Biblioteca impulsamos el deporte nacional y la investigación científica con una serie especial de concursos. En esta primera versión, podrán participar en este concurso únicamente profesores activos y estudiantes de posgrados de la Universidad de la Costa.

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Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation
...
William Bodah, Brian | 2022-07-10

The European Space Agency (ESA) provides opportunities for researchers on a global scale to identify gaseous pollutants using the most modern techniques of analysis by satellite images from the Sentinel-5P satellite, in the TROPOspheric Monitoring Instrument (TROPOMI), for the formation of current scenarios, applied to valuation environment aimed at possible improvements attributed to air quality and human health. The general objective of this manuscript is to analyze the amounts of NO2 and CO gases with Sentinel-5P TROPOMI satellite images, collected during the year 2019, and apply the environmental valuation focused on air quality pollution, in the northern region of the state of Rio Grande do Sul, in the host city, Passo Fundo (southern Brazil) from 2020 to early 2021. The air quality valuation study applied the Contingent Valuation Method (CVM). The results showed that NO2 had the highest concentration with a value of 7.88e +15 Column mol/cm2. CO presented a value of 9.43e +33 Column mol/cm2. The creation of scenarios aimed at valuation for the application of improvements in atmospheric air quality the understanding of the Willingness to Pay (WTP) of the interviewees. 514 residents of the City of Passo Fundo were queried as to their WTP for clean air quality in the city. The resulting WTP values, when applied to all households in the city as a whole, yielded an average WTP value of R$1,517,478.24 and the median WTP is R$599,390.00. It is suggested that pubic policies be written to enable these, or similar, amounts to be collected annually in order to mitigate harmful pollutants, such as NO2 and CO, currently found in the air of the City of Passo Fundo.

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Diseño de un software de apoyo para impartir las clases de señales y sistemas en la Universidad de la Costa
...
Cantillo Pérez, Snaider Smith | 2022

This project presents a proposal for innovation in the classroom that aims to address the challenges and difficulties that both students and teachers present in the teaching-learning process of the Signals and Systems course. The innovation consists in the design of simulator software which is a tool where the fundamental topics in the Signals and Systems course are addressed, such as: Signals and their basic concepts, Convolution, Fourier Series, Fourier Transform, and voice analysis. by spectral representation. The topics addressed were selected according to the study plan of the subject of the Universidad de la Costa and in the order in which the topics are viewed. This software also has a user manual where the student can perform some tests and simulations of the software through a step-by-step guide; in the same way, it is designed to be articulated with the class dictated by the teacher and to strengthen the independent work of the students. For the development of the software, the Python programming language is used using a virtual environment created with Anaconda and the Visual Studio Code IDE, together with a graphical interface created with Pyqt5 Designer. The tool is available to students and teachers so that they can be used on their computers and included in classes.

LEER
Geochemical and morphological evaluations of organic and mineral aerosols in coal mining areas: a case study of Santa Catarina, Brazil
...
Akinyemi, Segun Ajayi | 2022-03-24

Numerous researchers have described the correlation between the short-term contact of nano-particulate (NP) matter in diverse coal phases and amplified death or hospitalizations for breathing disorders in humans. However, few reports have examined the short-term consequences of source-specific nanoparticles (NPs) on coal mining areas. Advanced microscopic techniques can detect the ultra-fine particles (UFPs) and nanoparticles that contain potential hazardous elements (PHEs) generated in coal mining areas. Secondary aerosols that cause multiple and complex groups of particulate matter (PM10, PM2.5, PM1 ) can be collected on dry deposition. In this study, scanning electron microscopy (SEM) and high-resolution transmission electron microscopy (HR-TEM) were employed to detect and define the magnitude of particulate matters on restaurants walls at coal mines due to weathering interactions. The low cost self-made passive sampler (SMPS) documented several minerals and amorphous phases. The results showed that most of the detected coal minerals exist in combined form as numerous complexes comprising significant elements (e.g., Al, C, Fe, K, Mg, S, and Ti), whereas others exist as amorphous or organic compounds. Based on the analytical approach, the study findings present a comprehensive understanding of existing potential hazardous elements in the nanoparticles and ultrafine particles from coal mining areas in Brazil.

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Intelligent deep learning-enabled autonomous small ship detection and classification model
...
Escorcia-Gutierrez, Jose | 2022

Autonomous ship technologies have gained considerable interest due to the minimization of the challenging issues faced by the unpredictable errors of manual navigation, and therefore reduces human labor, increasing navigation security and profit margin. On autonomous shipping technologies, small ship detection is vital in ensuring shipping safety. With this motivation, this paper presents an efficient optimal mask regional convolutional neural network (Mask-CNN) technique for small ship detection (OMRCNN-SHD) on autonomous shipping technologies. Primarily, the data augmentation process is performed to resolve the issue of the limited number of real-world samples of small ships and helps to detect small ships in most cases accurately. Besides, the Mask RCNN with SqueezeNet model is used to detect ships and the hyperparameter tuning of the SqueezeNet model takes place by the use of the Adagrad optimizer. Furthermore, the Colliding Body's Optimization (CBO) algorithm with the weighted regularized extreme learning machine (WRELM) technique is employed to classify detected ships effectively. The comparative results analysis demonstrates the betterment of the OMRCNN-SHD technique over the current methods with the maximum accuracy of 98.63%.

LEER

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Primer Concurso de Academia Uniquest 2022

Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation

Diseño de un software de apoyo para impartir las clases de señales y sistemas en la Universidad de la Costa

Geochemical and morphological evaluations of organic and mineral aerosols in coal mining areas: a case study of Santa Catarina, Brazil

Intelligent deep learning-enabled autonomous small ship detection and classification model

Envíos recientes

Primer Concurso de Academia Uniquest 2022

Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation

Diseño de un software de apoyo para impartir las clases de señales y sistemas en la Universidad de la Costa

Geochemical and morphological evaluations of organic and mineral aerosols in coal mining areas: a case study of Santa Catarina, Brazil

Intelligent deep learning-enabled autonomous small ship detection and classification model

Repositorio Universidad de La Costa

Communities in DSpace

Recently Added

Primer Concurso de Academia Uniquest 2022 ﻿

Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation ﻿

Diseño de un software de apoyo para impartir las clases de señales y sistemas en la Universidad de la Costa ﻿

Geochemical and morphological evaluations of organic and mineral aerosols in coal mining areas: a case study of Santa Catarina, Brazil ﻿

Intelligent deep learning-enabled autonomous small ship detection and classification model ﻿

Envíos recientes

Primer Concurso de Academia Uniquest 2022

Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation

Diseño de un software de apoyo para impartir las clases de señales y sistemas en la Universidad de la Costa

Geochemical and morphological evaluations of organic and mineral aerosols in coal mining areas: a case study of Santa Catarina, Brazil

Intelligent deep learning-enabled autonomous small ship detection and classification model

Primer Concurso de Academia Uniquest 2022

Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation

Diseño de un software de apoyo para impartir las clases de señales y sistemas en la Universidad de la Costa

Geochemical and morphological evaluations of organic and mineral aerosols in coal mining areas: a case study of Santa Catarina, Brazil

Intelligent deep learning-enabled autonomous small ship detection and classification model