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Papers by Juan C Sarmiento

Research paper thumbnail of Guía metodológica para la elaboración de estudios de pre factibilidad en obras civiles

Research paper thumbnail of Supervisión y verificación de las actividades realizadas en las obras del área de urbanismo del proyecto mediterrane Spa & tennis club, sector firenze

Research paper thumbnail of Aislación sísmica de un edificio (Análisis comparativo de comportamiento y costos con un edificio tradicional)

Este estudio es desarrollado para analizar los efectos que tendría la implementación de un sistem... more Este estudio es desarrollado para analizar los efectos que tendría la implementación de un sistema de aislación sísmica sobre el comportamiento estructural y de costos, para un caso en particular: el edificio Hall Central del Hospital de Ambato. Este edificio destinado a hall ...

Research paper thumbnail of Intelligent Sine Cosine Optimization with Deep Transfer Learning Based Crops Type Classification Using Hyperspectral Images

Canadian Journal of Remote Sensing

Hyperspectral Remote Sensing (HRS) is an emergent, multidisciplinary paradigm with several applic... more Hyperspectral Remote Sensing (HRS) is an emergent, multidisciplinary paradigm with several applications, which are developed on the basis of material spectroscopy, radiative transfer, and imaging spectroscopy. HRS plays a vital role in agriculture for crops type classification and soil prediction. The recently developed artificial intelligence techniques can be used for crops type classification using HRS. This study develops an Intelligent Sine Cosine Optimization with Deep Transfer Learning Based Crop Type Classification (ISCO-DTLCTC) model. The ISCO-DTLCTC technique comprises initial preprocessing step to extract the region of interest. The information gain-based feature reduction technique is employed to reduce the dimensionality of the original hyperspectral images. In addition, a fusion of 3 deep convolutional neural networks models namely, VGG16, SqueezeNet, and Dense-EfficientNet perform feature extraction process. Furthermore, sine cosine optimization (SCO) algorithm with Modified Elman Neural Network (MENN) model is applied for crops type classification. The design of SCO algorithm helps to proficiently select the parameters involved in the MENN model. The performance validation of the ISCO-DTLCTC model is carried out using benchmark datasets and the results are inspected under several measures. Extensive comparative results demonstrated the betterment of the ISCO-DTLCTC model over the state of art approaches with maximum accuracy of 99.99%. RÉSUMÉ La t el ed etection hyperspectrale (HRS) est une technologie emergente et multidisciplinaire ayant plusieurs applications d evelopp ees sur la base de la spectroscopie des mat eriaux, du transfert radiatif et de la spectroscopie des images. L'HRS joue un rôle essentiel en agriculture pour la classification des types de cultures et la pr evision des sols. Les techniques d'intelligence artificielle (IA) r ecemment d evelopp ees peuventêtre utilis ees pour la classification des types de cultures a l'aide de HRS. Cette etude d eveloppe un mod ele intelligent d'optimisation du sinus-cosinus avec une classification des types de cultures bas ee sur l'apprentissage par transfert profond (ISCO-DTLCTC). La technique ISCO-DTLCTC comprend une etape initiale de pr etraitement pour extraire la r egion d'int erêt (RoI). La technique IGFR (Information Gain Based Feature Reduction) est utilis ee pour r eduire la dimensionnalit e des images hyperspectrales originales. Une fusion de trois mod eles DCNN (Deep Convolutional Neural Networks), a savoir VGG16, SqueezeNet et Dense-EfficientNet, effectue un processus d'extraction des principales caract eristiques. En outre, l'algorithme d'optimisation du sinuscosinus (SCO) avec le mod ele MENN (Modified Elman Neural Network) est appliqu e a la classification des types de cultures. La conception de l'algorithme SCO permet de s electionner efficacement les param etres impliqu es dans le mod ele MENN. La validation des performances du mod ele ISCO-DTLCTC est effectu ee a l'aide d'ensembles de donn ees de r ef erence et ARTICLE HISTORY

Research paper thumbnail of Privacy perception in location-based services for mobile devices in the university community of the north coast of Colombia

Ingenieria y Universidad, 2019

Introduction: The use of mobile applications has increased in the last years. Most of them requir... more Introduction: The use of mobile applications has increased in the last years. Most of them require the knowledge of the user location, either for their core service or for marketing purposes. Location-based services (LBS) offer context-based assistance to users based on their location. Although these applications ask the user for permission to use their location and even explain in detail how this information will be used in its terms and conditions, most users are not aware or even interested in the fact that their location information is stored in databases and monetized by selling it to third-party companies. Regarding this situation, we developed a study with the aim to assess perception, concerns and awareness from users about their location information. Methods: This work is based on an exploratory survey applied to the university community, mainly from the North Coast of Colombia, to measure the perception of location privacy of users with mobile devices. The questionnaire wa...

Research paper thumbnail of Design of a Low-Cost Multiplexer for the Study of the Impact of Soiling on PV Panel Performance

Energies, 2021

Atmospheric factors, such as clouds, wind, dust, or aerosols, play an important role in the power... more Atmospheric factors, such as clouds, wind, dust, or aerosols, play an important role in the power generation of photovoltaic (PV) plants. Among these factors, soiling has been revealed as one of the most relevant causes diminishing the PV yield, mainly in arid zones or deserts. The effect of soiling on the PV performance can be analyzed by means of I–V curves measured simultaneously on two PV panels: one soiled and the other clean. To this end, two I–V tracers, or one I–V tracer along with a multiplexer, are needed. Unfortunately, these options are usually expensive, and only one I–V tracer is typically available at the site of interest. In this work, the design of a low-cost multiplexer is described. The multiplexer is controlled by a low-cost single-board microcontroller manufactured by ArduinoTM, and is capable of managing several pairs of PV panels almost simultaneously. The multiplexer can be installed outdoors, in contrast to many commercial I–V tracers or multiplexers. This a...

Research paper thumbnail of Four-dimensional variational data assimilation experiments for a heavy rain case during the 2002 IOP in China

Advances in Atmospheric Sciences, 2005

A heavy rainfall event along the mei-yu front during 22-23 June 2002 was chosen for this study. T... more A heavy rainfall event along the mei-yu front during 22-23 June 2002 was chosen for this study. To assess the impact of the routine and additional IOP (intensive observation period) radiosonde observations on the mesoscale heavy rainfall forecast, a series of four-dimensional variational (4DVAR) data assimilation and model simulation experiments was conducted using nonhydrostatic mesoscale model MM5 and the MM5 4DVAR system. The effects of the intensive observations in the different areas on the heavy rainfall forecast were also investigated. The results showed that improvement of the forecast skill for mesoscale heavy rainfall intensity was possible from the assimilation of the IOP radiosonde observations. However, the impact of the IOP observations on the forecast of the rainfall pattern was not significant. Initial conditions obtained through the 4DVAR experiments with a 12-h assimilation window were capable of improving the 24-h forecast. The simulated results after the assimilation showed that it would be best to perform the intensive radiosonde observations in the upstream of the rainfall area and in the moisture passageway area at the same time. Initial conditions created by the 4DVAR led to the low-level moisture convergence over the rainfall area, enhanced frontogenesis and upward motion within the mei-yu front, and intensified middle-and high-level unstable stratification in front of the mei-yu front. Consequently, the heavy rainfall forecast was improved.

Research paper thumbnail of La modulación de sentencias como medio para articular la oportunidad política de la Corte Constitucional colombiana

Proyecto académico sin fines de lucro, desarrollado bajo la iniciativa de acceso abierto

Research paper thumbnail of Las uniones maritales de hecho entre parejas del mismo sexo: una lucha inconclusa contra la discriminación

Revista de Derecho de la Universidad del Norte, …, 2009

entre parejas homosexuales, se argumenta que, pese al amplio margen de aplicación de esta sentenc... more entre parejas homosexuales, se argumenta que, pese al amplio margen de aplicación de esta sentencia, alguna de estas oficinas ejercen formas de violencia simbólica y discriminación y rechazan a las parejas que intentan realizar dicho trámite. Ello permite constatar que las uniones maritales de hecho están lejos de construir un espacio que atenúa la discriminación contra la diversidad sexual. Palabras clave: Discriminación a parejas del mismo sexo, unión marital de hecho entre homosexuales, discriminación institucional, segregación escalonada, violencia simbólica, protección jurídica a la diversidad sexual.

Research paper thumbnail of Guía metodológica para la elaboración de estudios de pre factibilidad en obras civiles

Research paper thumbnail of Supervisión y verificación de las actividades realizadas en las obras del área de urbanismo del proyecto mediterrane Spa & tennis club, sector firenze

Research paper thumbnail of Aislación sísmica de un edificio (Análisis comparativo de comportamiento y costos con un edificio tradicional)

Este estudio es desarrollado para analizar los efectos que tendría la implementación de un sistem... more Este estudio es desarrollado para analizar los efectos que tendría la implementación de un sistema de aislación sísmica sobre el comportamiento estructural y de costos, para un caso en particular: el edificio Hall Central del Hospital de Ambato. Este edificio destinado a hall ...

Research paper thumbnail of Intelligent Sine Cosine Optimization with Deep Transfer Learning Based Crops Type Classification Using Hyperspectral Images

Canadian Journal of Remote Sensing

Hyperspectral Remote Sensing (HRS) is an emergent, multidisciplinary paradigm with several applic... more Hyperspectral Remote Sensing (HRS) is an emergent, multidisciplinary paradigm with several applications, which are developed on the basis of material spectroscopy, radiative transfer, and imaging spectroscopy. HRS plays a vital role in agriculture for crops type classification and soil prediction. The recently developed artificial intelligence techniques can be used for crops type classification using HRS. This study develops an Intelligent Sine Cosine Optimization with Deep Transfer Learning Based Crop Type Classification (ISCO-DTLCTC) model. The ISCO-DTLCTC technique comprises initial preprocessing step to extract the region of interest. The information gain-based feature reduction technique is employed to reduce the dimensionality of the original hyperspectral images. In addition, a fusion of 3 deep convolutional neural networks models namely, VGG16, SqueezeNet, and Dense-EfficientNet perform feature extraction process. Furthermore, sine cosine optimization (SCO) algorithm with Modified Elman Neural Network (MENN) model is applied for crops type classification. The design of SCO algorithm helps to proficiently select the parameters involved in the MENN model. The performance validation of the ISCO-DTLCTC model is carried out using benchmark datasets and the results are inspected under several measures. Extensive comparative results demonstrated the betterment of the ISCO-DTLCTC model over the state of art approaches with maximum accuracy of 99.99%. RÉSUMÉ La t el ed etection hyperspectrale (HRS) est une technologie emergente et multidisciplinaire ayant plusieurs applications d evelopp ees sur la base de la spectroscopie des mat eriaux, du transfert radiatif et de la spectroscopie des images. L'HRS joue un rôle essentiel en agriculture pour la classification des types de cultures et la pr evision des sols. Les techniques d'intelligence artificielle (IA) r ecemment d evelopp ees peuventêtre utilis ees pour la classification des types de cultures a l'aide de HRS. Cette etude d eveloppe un mod ele intelligent d'optimisation du sinus-cosinus avec une classification des types de cultures bas ee sur l'apprentissage par transfert profond (ISCO-DTLCTC). La technique ISCO-DTLCTC comprend une etape initiale de pr etraitement pour extraire la r egion d'int erêt (RoI). La technique IGFR (Information Gain Based Feature Reduction) est utilis ee pour r eduire la dimensionnalit e des images hyperspectrales originales. Une fusion de trois mod eles DCNN (Deep Convolutional Neural Networks), a savoir VGG16, SqueezeNet et Dense-EfficientNet, effectue un processus d'extraction des principales caract eristiques. En outre, l'algorithme d'optimisation du sinuscosinus (SCO) avec le mod ele MENN (Modified Elman Neural Network) est appliqu e a la classification des types de cultures. La conception de l'algorithme SCO permet de s electionner efficacement les param etres impliqu es dans le mod ele MENN. La validation des performances du mod ele ISCO-DTLCTC est effectu ee a l'aide d'ensembles de donn ees de r ef erence et ARTICLE HISTORY

Research paper thumbnail of Privacy perception in location-based services for mobile devices in the university community of the north coast of Colombia

Ingenieria y Universidad, 2019

Introduction: The use of mobile applications has increased in the last years. Most of them requir... more Introduction: The use of mobile applications has increased in the last years. Most of them require the knowledge of the user location, either for their core service or for marketing purposes. Location-based services (LBS) offer context-based assistance to users based on their location. Although these applications ask the user for permission to use their location and even explain in detail how this information will be used in its terms and conditions, most users are not aware or even interested in the fact that their location information is stored in databases and monetized by selling it to third-party companies. Regarding this situation, we developed a study with the aim to assess perception, concerns and awareness from users about their location information. Methods: This work is based on an exploratory survey applied to the university community, mainly from the North Coast of Colombia, to measure the perception of location privacy of users with mobile devices. The questionnaire wa...

Research paper thumbnail of Design of a Low-Cost Multiplexer for the Study of the Impact of Soiling on PV Panel Performance

Energies, 2021

Atmospheric factors, such as clouds, wind, dust, or aerosols, play an important role in the power... more Atmospheric factors, such as clouds, wind, dust, or aerosols, play an important role in the power generation of photovoltaic (PV) plants. Among these factors, soiling has been revealed as one of the most relevant causes diminishing the PV yield, mainly in arid zones or deserts. The effect of soiling on the PV performance can be analyzed by means of I–V curves measured simultaneously on two PV panels: one soiled and the other clean. To this end, two I–V tracers, or one I–V tracer along with a multiplexer, are needed. Unfortunately, these options are usually expensive, and only one I–V tracer is typically available at the site of interest. In this work, the design of a low-cost multiplexer is described. The multiplexer is controlled by a low-cost single-board microcontroller manufactured by ArduinoTM, and is capable of managing several pairs of PV panels almost simultaneously. The multiplexer can be installed outdoors, in contrast to many commercial I–V tracers or multiplexers. This a...

Research paper thumbnail of Four-dimensional variational data assimilation experiments for a heavy rain case during the 2002 IOP in China

Advances in Atmospheric Sciences, 2005

A heavy rainfall event along the mei-yu front during 22-23 June 2002 was chosen for this study. T... more A heavy rainfall event along the mei-yu front during 22-23 June 2002 was chosen for this study. To assess the impact of the routine and additional IOP (intensive observation period) radiosonde observations on the mesoscale heavy rainfall forecast, a series of four-dimensional variational (4DVAR) data assimilation and model simulation experiments was conducted using nonhydrostatic mesoscale model MM5 and the MM5 4DVAR system. The effects of the intensive observations in the different areas on the heavy rainfall forecast were also investigated. The results showed that improvement of the forecast skill for mesoscale heavy rainfall intensity was possible from the assimilation of the IOP radiosonde observations. However, the impact of the IOP observations on the forecast of the rainfall pattern was not significant. Initial conditions obtained through the 4DVAR experiments with a 12-h assimilation window were capable of improving the 24-h forecast. The simulated results after the assimilation showed that it would be best to perform the intensive radiosonde observations in the upstream of the rainfall area and in the moisture passageway area at the same time. Initial conditions created by the 4DVAR led to the low-level moisture convergence over the rainfall area, enhanced frontogenesis and upward motion within the mei-yu front, and intensified middle-and high-level unstable stratification in front of the mei-yu front. Consequently, the heavy rainfall forecast was improved.

Research paper thumbnail of La modulación de sentencias como medio para articular la oportunidad política de la Corte Constitucional colombiana

Proyecto académico sin fines de lucro, desarrollado bajo la iniciativa de acceso abierto

Research paper thumbnail of Las uniones maritales de hecho entre parejas del mismo sexo: una lucha inconclusa contra la discriminación

Revista de Derecho de la Universidad del Norte, …, 2009

entre parejas homosexuales, se argumenta que, pese al amplio margen de aplicación de esta sentenc... more entre parejas homosexuales, se argumenta que, pese al amplio margen de aplicación de esta sentencia, alguna de estas oficinas ejercen formas de violencia simbólica y discriminación y rechazan a las parejas que intentan realizar dicho trámite. Ello permite constatar que las uniones maritales de hecho están lejos de construir un espacio que atenúa la discriminación contra la diversidad sexual. Palabras clave: Discriminación a parejas del mismo sexo, unión marital de hecho entre homosexuales, discriminación institucional, segregación escalonada, violencia simbólica, protección jurídica a la diversidad sexual.