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\n  \n 2022\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Parkinson’s Disease Diagnosis Through Electroencephalographic Signal Processing and Sub-optimal Feature Extraction.\n \n \n \n \n\n\n \n Pozo-Ruiz, S.; Morocho-Cayamcela, M., E.; Mayorca-Torres, D.; and H. Peluffo-Ordóñez, D.\n\n\n \n\n\n\n ,118-127. 2 2022.\n \n\n\n\n
\n\n\n\n \n \n \"Parkinson’sWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{\n title = {Parkinson’s Disease Diagnosis Through Electroencephalographic Signal Processing and Sub-optimal Feature Extraction},\n type = {article},\n year = {2022},\n keywords = {EEG,Machine learning,Medical informatics,Parkinson’s disease,Signal processing,Waveform shape},\n pages = {118-127},\n websites = {https://link.springer.com/chapter/10.1007/978-3-030-96293-7_12},\n month = {2},\n publisher = {Springer, Cham},\n day = {9},\n id = {1874b9ae-0ecc-3e32-ae33-68008be49156},\n created = {2022-03-18T22:58:00.873Z},\n accessed = {2022-03-18},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:01.053Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Parkinson's disease is the second most common neurological disorder after Alzheimer. Several limitations and challenges have arisen when aiming to diagnose this disease. In this regard, a computer-aided diagnosis system is enforced for the early detection of any abnormalities. Prominent research efforts have been developed based on speech and gait analysis; nonetheless, electroencephalographic (EEG)-signal-driven approaches have acquired some interest recently to diagnose an early Parkinson's disease. According to recent studies, the angles and sharp-ness of brain waves may hold key hints to detect Parkinson's disease. In the present work, an exploratory study over digital signal processing , and machine learning techniques for characterizing and classifying Parkinson-diagnosed EEG signals is conducted; waveform shape, spectral , statistical and non-linear features are taken into account for the present study. The results, without being definitive, propose a suitable set of processing techniques to increase the performance, estimation accuracy , and interpretation of this physiological phenomenon. At the end, it was found that with the characterization performed, k-NN is the clas-sifier which performs better, obtaining a mean accuracy of 86% when differentiating Parkinson's disease patients and healthy control subjects.},\n bibtype = {article},\n author = {Pozo-Ruiz, Santiago and Morocho-Cayamcela, Manuel Eugenio and Mayorca-Torres, Dagoberto and H. Peluffo-Ordóñez, Diego},\n doi = {10.1007/978-3-030-96293-7_12}\n}
\n
\n\n\n
\n Parkinson's disease is the second most common neurological disorder after Alzheimer. Several limitations and challenges have arisen when aiming to diagnose this disease. In this regard, a computer-aided diagnosis system is enforced for the early detection of any abnormalities. Prominent research efforts have been developed based on speech and gait analysis; nonetheless, electroencephalographic (EEG)-signal-driven approaches have acquired some interest recently to diagnose an early Parkinson's disease. According to recent studies, the angles and sharp-ness of brain waves may hold key hints to detect Parkinson's disease. In the present work, an exploratory study over digital signal processing , and machine learning techniques for characterizing and classifying Parkinson-diagnosed EEG signals is conducted; waveform shape, spectral , statistical and non-linear features are taken into account for the present study. The results, without being definitive, propose a suitable set of processing techniques to increase the performance, estimation accuracy , and interpretation of this physiological phenomenon. At the end, it was found that with the characterization performed, k-NN is the clas-sifier which performs better, obtaining a mean accuracy of 86% when differentiating Parkinson's disease patients and healthy control subjects.\n
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\n \n\n \n \n \n \n \n \n PROPUESTA DE ARQUITECTURA IOT ORIENTADA A LA CREACIÓN DE PROTOTIPOS PARA SU APLICACIÓN EN PLATAFORMAS EDUCATIVAS Y DE INVESTIGACIÓN.\n \n \n \n \n\n\n \n Medina-Barahona, C., J.; Mora, G., A.; Calvache-Pabón, C.; Salazar-Castro, J., A.; Mora-Paz, H., A.; and Mayorca-Torres, D.\n\n\n \n\n\n\n REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA (RCTA), 1(39): 118-125. 7 2022.\n \n\n\n\n
\n\n\n\n \n \n \"PROPUESTAWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{\n title = {PROPUESTA DE ARQUITECTURA IOT ORIENTADA A LA CREACIÓN  DE PROTOTIPOS PARA SU APLICACIÓN EN PLATAFORMAS  EDUCATIVAS Y DE INVESTIGACIÓN},\n type = {article},\n year = {2022},\n keywords = {Arquitectura IoT,educativo,estándares,protocolos,proyectos de prototipado},\n pages = {118-125},\n volume = {1},\n websites = {https://ojs.unipamplona.edu.co/ojsviceinves/index.php/rcta/article/view/1405},\n month = {7},\n publisher = {Latin American and Caribbean Consortium of Engineering Institutions},\n day = {28},\n id = {2a4c3987-29c6-3655-b631-04c477848b17},\n created = {2022-09-02T13:50:32.190Z},\n accessed = {2022-09-02},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-09-02T13:50:48.649Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Este artículo se centra en definir una arquitectura IoT viable para proyectos de prototipado en IoT. Esta arquitectura es la base para definir conceptos como estándares y protocolos de comunicación, almacenamiento y tratamiento de datos. Existe muy poca documentación relacionada con este aspecto del IoT, y las arquitecturas propuestas por los gigantes del mercado son demasiado complejas para servir de punto de partida en una metodología orientada al aprendizaje desde cero, por este motivo se optó por el estudio de artículos científicos que proponen su propia arquitectura. Gracias a esto se pudo definir un modelo de arquitectura con las características mínimas para ser reconocida como tal, que sea aplicable a modelos de prototipado, que son los ideales para proyectos de laboratorio óptimos para la enseñanza práctica de los conceptos. Finalmente se obtiene un listado de los estándares y protocolos más usados como punto de referencia para proyectos futuros del IoT},\n bibtype = {article},\n author = {Medina-Barahona, Camilo J. and Mora, Germán A. and Calvache-Pabón, Carolina and Salazar-Castro, Jose A. and Mora-Paz, Héctor A. and Mayorca-Torres, Dagoberto},\n doi = {10.18687/LACCEI2018.1.1.497},\n journal = {REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA (RCTA)},\n number = {39}\n}
\n
\n\n\n
\n Este artículo se centra en definir una arquitectura IoT viable para proyectos de prototipado en IoT. Esta arquitectura es la base para definir conceptos como estándares y protocolos de comunicación, almacenamiento y tratamiento de datos. Existe muy poca documentación relacionada con este aspecto del IoT, y las arquitecturas propuestas por los gigantes del mercado son demasiado complejas para servir de punto de partida en una metodología orientada al aprendizaje desde cero, por este motivo se optó por el estudio de artículos científicos que proponen su propia arquitectura. Gracias a esto se pudo definir un modelo de arquitectura con las características mínimas para ser reconocida como tal, que sea aplicable a modelos de prototipado, que son los ideales para proyectos de laboratorio óptimos para la enseñanza práctica de los conceptos. Finalmente se obtiene un listado de los estándares y protocolos más usados como punto de referencia para proyectos futuros del IoT\n
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\n  \n 2021\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n Desarrollo de un exoesqueleto mecatrónico para mano dominante, enfocado a facilitar funciones de agarres, de una persona con pérdida de función motora debido a una lesión medular.\n \n \n \n \n\n\n \n Karina Hidalgo Morillo, Daniel Araujo Moran, Ricardo Erazo Jossa, Dagoberto Mayorca-Torres, F., G., M.\n\n\n \n\n\n\n Comunicación de la Ciencia en la era Digital, pages 30-54. Editorial Fundación LASIRC, 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ComunicaciónWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2021},\n pages = {30-54},\n websites = {http://fundacionlasirc.org/images/cap_libro/RED_LASIRC_LIBRO_6.pdf%0A},\n publisher = {Editorial Fundación LASIRC},\n id = {eb089d0e-f309-3654-ad57-fc2ced46b75e},\n created = {2021-06-14T01:48:25.923Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:00.802Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {KarinaHidalgoMorilloDanielAraujoMoranRicardoErazoJossaDagobertoMayorca-Torres2021},\n private_publication = {false},\n bibtype = {inbook},\n author = {Karina Hidalgo Morillo, Daniel Araujo Moran, Ricardo Erazo Jossa, Dagoberto Mayorca-Torres, Fabio Gómez Meneses},\n chapter = {Desarrollo de un exoesqueleto mecatrónico para mano dominante, enfocado a facilitar funciones de agarres, de una persona con pérdida de función motora debido a una lesión medular},\n title = {Comunicación de la Ciencia en la era Digital}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Desarrollo de un sistema de monitoreo de somnolencia para conductores a través del uso de visión artificial.\n \n \n \n \n\n\n \n Juan David Arcos Eraso, Diego Andres Lopez Alban, D., M.\n\n\n \n\n\n\n Comunicación de la Ciencia en la era Digital, pages 55-65. Editorial Fundación LASIRC, 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ComunicaciónWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2021},\n pages = {55-65},\n websites = {http://fundacionlasirc.org/images/cap_libro/RED_LASIRC_LIBRO_6.pdf%0A},\n publisher = {Editorial Fundación LASIRC},\n id = {b6d73255-eebe-3836-b869-4b5209e0e8ad},\n created = {2021-06-14T01:48:26.134Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:01.065Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {JuanDavidArcosErasoDiegoAndresLopezAlban2021},\n private_publication = {false},\n bibtype = {inbook},\n author = {Juan David Arcos Eraso, Diego Andres Lopez Alban, Dagoberto Mayorca-Torres},\n chapter = {Desarrollo de un sistema de monitoreo de somnolencia para conductores a través del uso de visión artificial},\n title = {Comunicación de la Ciencia en la era Digital}\n}
\n
\n\n\n\n
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\n \n\n \n \n \n \n \n Sistema de apoyo para la detección de broca y roya en sistemas de producción tradicional de cultivos de café a partir del análisis a variables climáticas a través de protocolos de comunicaciones para IoT.\n \n \n \n\n\n \n Jaime Miguel Castelblanco Bedoya, D., M.; and Castro, J., A., S.\n\n\n \n\n\n\n Comunicación de la Ciencia en la era Digital, pages 342-355. Editorial Fundación LASIRC, 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2021},\n pages = {342-355},\n publisher = {Editorial Fundación LASIRC},\n id = {8dddc3eb-8026-3405-ab25-ea051eeaec5e},\n created = {2021-06-14T01:48:26.175Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:00.809Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {JaimeMiguelCastelblancoBedoya2021},\n private_publication = {false},\n bibtype = {inbook},\n author = {Jaime Miguel Castelblanco Bedoya, Dagoberto Mayorca-Torres and Castro, José Alejandro Salazar},\n chapter = {Sistema de apoyo para la detección de broca y roya en sistemas de producción tradicional de cultivos de café a partir del análisis a variables climáticas a través de protocolos de comunicaciones para IoT},\n title = {Comunicación de la Ciencia en la era Digital}\n}
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\n \n\n \n \n \n \n \n \n Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models.\n \n \n \n \n\n\n \n Sánchez-Pozo, N., N.; Trilles-Oliver, S.; Solé-Ribalta, A.; Lorente-Leyva, L., L.; Mayorca-Torres, D.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n pages 293-304. Sanjurjo González, H.; Pastor López, I.; García Bringas, P.; Quintián, H.; and Corchado, E., editor(s). Springer International Publishing, 2021.\n \n\n\n\n
\n\n\n\n \n \n \"Website\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2021},\n pages = {293-304},\n websites = {https://link.springer.com/10.1007/978-3-030-86271-8_25},\n publisher = {Springer International Publishing},\n city = {Cham},\n id = {94c3b43a-efaf-332a-9762-fc20be83a03e},\n created = {2021-12-13T10:41:50.590Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:36:25.177Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Sanchez-Pozo2021},\n source_type = {CONF},\n private_publication = {false},\n abstract = {This paper presents a comparative analysis of predictive models applied to air quality estimation. Currently, among other global issues, there is a high concern about air pollution, for this reason, there are several air quality indicators, with carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3) being the main ones. When the concentration level of an indicator exceeds an established air quality safety threshold, it is considered harmful to human health, therefore, in cities like London, there are monitoring systems for air pollutants. This study aims to compare the efficiency of stochastic and heuristic predictive models for forecasting ozone (O3) concentration to estimate London's air quality by analyzing an open dataset retrieved from the London Datastore portal. Models based on data analysis have been widely used in air quality forecasting. This paper develops four predictive models (autoregressive integrated moving average - ARIMA, support vector regression - SVR, neural networks (specifically, long-short term memory - LSTM) and Facebook Prophet). Experimentally, ARIMA models and LSTM are proved to reach the highest accuracy in predicting the concentration of air pollutants among the considered models. As a result, the comparative analysis of the loss function (root-mean-square error) reveled that ARIMA and LSTM are the most suitable, accomplishing a low error rate of 0.18 and 0.20, respectively.},\n bibtype = {inbook},\n author = {Sánchez-Pozo, Nadia N and Trilles-Oliver, Sergi and Solé-Ribalta, Albert and Lorente-Leyva, Leandro L and Mayorca-Torres, Dagoberto and Peluffo-Ordóñez, Diego H},\n editor = {Sanjurjo González, Hugo and Pastor López, Iker and García Bringas, Pablo and Quintián, Héctor and Corchado, Emilio},\n doi = {10.1007/978-3-030-86271-8_25},\n chapter = {Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models}\n}
\n
\n\n\n
\n This paper presents a comparative analysis of predictive models applied to air quality estimation. Currently, among other global issues, there is a high concern about air pollution, for this reason, there are several air quality indicators, with carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3) being the main ones. When the concentration level of an indicator exceeds an established air quality safety threshold, it is considered harmful to human health, therefore, in cities like London, there are monitoring systems for air pollutants. This study aims to compare the efficiency of stochastic and heuristic predictive models for forecasting ozone (O3) concentration to estimate London's air quality by analyzing an open dataset retrieved from the London Datastore portal. Models based on data analysis have been widely used in air quality forecasting. This paper develops four predictive models (autoregressive integrated moving average - ARIMA, support vector regression - SVR, neural networks (specifically, long-short term memory - LSTM) and Facebook Prophet). Experimentally, ARIMA models and LSTM are proved to reach the highest accuracy in predicting the concentration of air pollutants among the considered models. As a result, the comparative analysis of the loss function (root-mean-square error) reveled that ARIMA and LSTM are the most suitable, accomplishing a low error rate of 0.18 and 0.20, respectively.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Sign Language Recognition Using Leap Motion Based on Time-Frequency Characterization and Conventional Machine Learning Techniques.\n \n \n \n \n\n\n \n López-Albán, D.; López-Barrera, A.; Mayorca-Torres, D.; and Peluffo-Ordóñez, D.\n\n\n \n\n\n\n pages 55-67. Florez, H.; and Pollo-Cattaneo, M., F., editor(s). Springer International Publishing, 2021.\n \n\n\n\n
\n\n\n\n \n \n \"Website\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2021},\n pages = {55-67},\n websites = {https://link.springer.com/10.1007/978-3-030-89654-6_5},\n publisher = {Springer International Publishing},\n city = {Cham},\n id = {ae8aa06d-e67b-3e3f-8e71-0da8b50c129d},\n created = {2021-12-13T10:41:50.594Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:36:24.660Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lopez-Alban2021},\n source_type = {CONF},\n private_publication = {false},\n abstract = {The abstract should briefly summarize the contents of the paper in Sign language is the form of communication between the deaf and hearing population, which uses the gesture-spatial configuration of the hands as a communication channel with their social environment. This work proposes the development of a gesture recognition method associated with sign language from the processing of time series from the spatial position of hand reference points granted by a Leap Motion optical sensor. A methodology applied to a validated American Sign Language (ASL) Dataset which involves the following sections: (i) preprocessing for filtering null frames, (ii) segmentation of relevant information, (iii) time-frequency characterization from the Discrete Wavelet Transform (DWT). Subsequently, the classification is carried out with Machine Learning algorithms (iv). It is graded by a 97.96% rating yield using the proposed methodology with the Fast Tree algorithm.},\n bibtype = {inbook},\n author = {López-Albán, D and López-Barrera, A and Mayorca-Torres, D and Peluffo-Ordóñez, D},\n editor = {Florez, Hector and Pollo-Cattaneo, Ma Florencia},\n doi = {10.1007/978-3-030-89654-6_5},\n chapter = {Sign Language Recognition Using Leap Motion Based on Time-Frequency Characterization and Conventional Machine Learning Techniques}\n}
\n
\n\n\n
\n The abstract should briefly summarize the contents of the paper in Sign language is the form of communication between the deaf and hearing population, which uses the gesture-spatial configuration of the hands as a communication channel with their social environment. This work proposes the development of a gesture recognition method associated with sign language from the processing of time series from the spatial position of hand reference points granted by a Leap Motion optical sensor. A methodology applied to a validated American Sign Language (ASL) Dataset which involves the following sections: (i) preprocessing for filtering null frames, (ii) segmentation of relevant information, (iii) time-frequency characterization from the Discrete Wavelet Transform (DWT). Subsequently, the classification is carried out with Machine Learning algorithms (iv). It is graded by a 97.96% rating yield using the proposed methodology with the Fast Tree algorithm.\n
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\n \n\n \n \n \n \n \n \n Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images.\n \n \n \n \n\n\n \n Pachajoa, D.; Mora-Paz, H.; Mayorca-Torres, D.; Pachajoa, D.; Mora-Paz, H.; and Mayorca-Torres, D.\n\n\n \n\n\n\n Revista Facultad de Ingeniería, 30(58): 2021. 2021.\n \n\n\n\n
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\n
@article{\n title = {Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images},\n type = {article},\n year = {2021},\n pages = {2021},\n volume = {30},\n websites = {http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0121-11292021000400106&lng=en&nrm=iso&tlng=en,http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S0121-11292021000400106&lng=en&nrm=iso&tlng=en},\n publisher = {Universidad Pedagógica y Tecnológica de Colombia},\n id = {48dbdef6-4594-3201-86d0-56f9acf5752c},\n created = {2022-03-18T22:52:48.269Z},\n accessed = {2022-03-18},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:01.157Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Due to the growing energy demand and the eminent global warming, there is special},\n bibtype = {article},\n author = {Pachajoa, Dalila-Mercedes and Mora-Paz, Héctor-Andrés and Mayorca-Torres, Dagoberto and Pachajoa, Dalila-Mercedes and Mora-Paz, Héctor-Andrés and Mayorca-Torres, Dagoberto},\n doi = {10.19053/01211129.V30.N58.2021.13845},\n journal = {Revista Facultad de Ingeniería},\n number = {58}\n}
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\n Due to the growing energy demand and the eminent global warming, there is special\n
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\n \n\n \n \n \n \n \n \n Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models.\n \n \n \n \n\n\n \n Sánchez-Pozo, N., N.; Trilles-Oliver, S.; Solé-Ribalta, A.; Lorente-Leyva, L., L.; Mayorca-Torres, D.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12886 LNAI: 293-304. 9 2021.\n \n\n\n\n
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@article{\n title = {Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models},\n type = {article},\n year = {2021},\n keywords = {Air quality,Contamination,Forecasting,Predictive models},\n pages = {293-304},\n volume = {12886 LNAI},\n websites = {https://link.springer.com/chapter/10.1007/978-3-030-86271-8_25},\n month = {9},\n publisher = {Springer, Cham},\n day = {22},\n id = {693957cb-36d1-37a0-996a-c0a4352dbc67},\n created = {2022-03-18T22:53:13.470Z},\n accessed = {2022-03-18},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:01.097Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {This paper presents a comparative analysis of predictive models applied to air quality estimation. Currently, among other global issues, there is a high concern about air pollution, for this reason, there are several air quality indicators, with carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3) being the main ones. When the concentration level of an indicator exceeds an established air quality safety threshold, it is considered harmful to human health, therefore, in cities like London, there are monitoring systems for air pollutants. This study aims to compare the efficiency of stochastic and heuristic predictive models for forecasting ozone (O3) concentration to estimate London's air quality by analyzing an open dataset retrieved from the London Datastore portal. Models based on data analysis have been widely used in air quality forecasting. This paper develops four predictive models (autoregressive integrated moving average - ARIMA, support vector regression - SVR, neural networks (specifically, long-short term memory - LSTM) and Facebook Prophet). Experimentally, ARIMA models and LSTM are proved to reach the highest accuracy in predicting the concentration of air pollutants among the considered models. As a result, the comparative analysis of the loss function (root-mean-square error) reveled that ARIMA and LSTM are the most suitable, accomplishing a low error rate of 0.18 and 0.20, respectively.},\n bibtype = {article},\n author = {Sánchez-Pozo, Nadia N. and Trilles-Oliver, Sergi and Solé-Ribalta, Albert and Lorente-Leyva, Leandro L. and Mayorca-Torres, Dagoberto and Peluffo-Ordóñez, Diego H.},\n doi = {10.1007/978-3-030-86271-8_25},\n journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}
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\n This paper presents a comparative analysis of predictive models applied to air quality estimation. Currently, among other global issues, there is a high concern about air pollution, for this reason, there are several air quality indicators, with carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3) being the main ones. When the concentration level of an indicator exceeds an established air quality safety threshold, it is considered harmful to human health, therefore, in cities like London, there are monitoring systems for air pollutants. This study aims to compare the efficiency of stochastic and heuristic predictive models for forecasting ozone (O3) concentration to estimate London's air quality by analyzing an open dataset retrieved from the London Datastore portal. Models based on data analysis have been widely used in air quality forecasting. This paper develops four predictive models (autoregressive integrated moving average - ARIMA, support vector regression - SVR, neural networks (specifically, long-short term memory - LSTM) and Facebook Prophet). Experimentally, ARIMA models and LSTM are proved to reach the highest accuracy in predicting the concentration of air pollutants among the considered models. As a result, the comparative analysis of the loss function (root-mean-square error) reveled that ARIMA and LSTM are the most suitable, accomplishing a low error rate of 0.18 and 0.20, respectively.\n
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\n \n\n \n \n \n \n \n \n Predicting High School Students' Academic Performance: A Comparative Study of Supervised Machine Learning Techniques.\n \n \n \n \n\n\n \n Sanchez-Pozo, N., N.; Mejia-Ordonez, J., S.; Chamorro, D., C.; Mayorca-Torres, D.; and Peluffo-Ordonez, D., H.\n\n\n \n\n\n\n 2021 Machine Learning-Driven Digital Technologies for Educational Innovation Workshop,1-6. 12 2021.\n \n\n\n\n
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\n
@article{\n title = {Predicting High School Students' Academic Performance: A Comparative Study of Supervised Machine Learning Techniques},\n type = {article},\n year = {2021},\n pages = {1-6},\n websites = {https://ieeexplore.ieee.org/document/9733756/},\n month = {12},\n publisher = {IEEE},\n day = {15},\n id = {691ff1b3-2ae4-3f17-b0f3-d2dfed4095a7},\n created = {2022-03-19T11:27:29.999Z},\n accessed = {2022-03-19},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-03-19T11:27:29.999Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Sanchez-Pozo, Nadia N. and Mejia-Ordonez, Juan S. and Chamorro, Diana C. and Mayorca-Torres, Dagoberto and Peluffo-Ordonez, Diego H.},\n doi = {10.1109/IEEECONF53024.2021.9733756},\n journal = {2021 Machine Learning-Driven Digital Technologies for Educational Innovation Workshop}\n}
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\n  \n 2020\n \n \n (11)\n \n \n
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\n \n\n \n \n \n \n \n \n Diseño y construcción de un calentador eficiente de agua basado en inducción electromagnética.\n \n \n \n \n\n\n \n Mayorca-Torres, D.\n\n\n \n\n\n\n Volume 7 . pages 122-126. Boletín Informativo CEI, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Website\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{\n type = {inbook},\n year = {2020},\n pages = {122-126},\n volume = {7},\n issue = {3},\n websites = {http://editorial.umariana.edu.co/revistas/index.php/BoletinInformativoCEI/article/view/2402%0A},\n publisher = {Boletín Informativo CEI},\n id = {c70009b4-8361-331a-888a-c13ee3e65a8f},\n created = {2021-06-14T01:48:25.218Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:01.052Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2020d},\n private_publication = {false},\n bibtype = {inbook},\n author = {Mayorca-Torres, Dagoberto},\n chapter = {Diseño y construcción de un calentador eficiente de agua basado en inducción electromagnética}\n}
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\n \n\n \n \n \n \n \n \n Prototipo de sistema de apoyo a la terapia de exposición controlada enfocada en acrofobia mediante realidad virtual y con captura de signos vitales.\n \n \n \n \n\n\n \n Mayorca-Torres, D.\n\n\n \n\n\n\n Volume 7 . pages 142-146. Boletín Informativo CEI, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Website\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{\n type = {inbook},\n year = {2020},\n pages = {142-146},\n volume = {7},\n issue = {3},\n websites = {http://editorial.umariana.edu.co/revistas/index.php/BoletinInformativoCEI/article/view/2407%0A},\n publisher = {Boletín Informativo CEI},\n id = {b26016e5-6194-3c7c-a516-7b9607446806},\n created = {2021-06-14T01:48:25.290Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:00.817Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2020c},\n private_publication = {false},\n bibtype = {inbook},\n author = {Mayorca-Torres, Dagoberto},\n chapter = {Prototipo de sistema de apoyo a la terapia de exposición controlada enfocada en acrofobia mediante realidad virtual y con captura de signos vitales}\n}
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\n \n\n \n \n \n \n \n \n Sistema de reconocimiento automático de lenguaje señas colombiano mediante Kinect y Leap Motion.\n \n \n \n \n\n\n \n Mayorca-Torres, D.; López, M.; and Lopez, D.\n\n\n \n\n\n\n Volume 7 . pages 116-119. Boletín Informativo CEI, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Website\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2020},\n pages = {116-119},\n volume = {7},\n issue = {3},\n websites = {http://editorial.umariana.edu.co/revistas/index.php/BoletinInformativoCEI/article/view/2403%0A},\n publisher = {Boletín Informativo CEI},\n id = {ab69464d-f503-3507-a6ce-319e74f1dc56},\n created = {2021-06-14T01:48:25.304Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:01.029Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2020b},\n private_publication = {false},\n bibtype = {inbook},\n author = {Mayorca-Torres, Dagoberto and López, Manuel and Lopez, Diego},\n chapter = {Sistema de reconocimiento automático de lenguaje señas colombiano mediante Kinect y Leap Motion}\n}
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\n \n\n \n \n \n \n \n \n Exoesqueleto mecatrónico para mano, enfocado a facilitar funciones de agarres en persona con lesión medular.\n \n \n \n \n\n\n \n Hernando, D.; Moran, A.; Marcela, K.; Morillo, H.; and Torres, D., M.\n\n\n \n\n\n\n Volume 7 . pages 111-115. Boletín Informativo CEI, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Website\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2020},\n pages = {111-115},\n volume = {7},\n issue = {3},\n websites = {http://editorial.umariana.edu.co/revistas/index.php/BoletinInformativoCEI/article/view/2398%0A},\n publisher = {Boletín Informativo CEI},\n id = {e889ac35-39a2-3a32-8d23-aad39640ac6b},\n created = {2021-06-14T01:48:25.419Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:00.809Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Hernando2020},\n private_publication = {false},\n bibtype = {inbook},\n author = {Hernando, Daniel and Moran, Araujo and Marcela, Karina and Morillo, Hidalgo and Torres, Dagoberto Mayorca},\n chapter = {Exoesqueleto mecatrónico para mano, enfocado a facilitar funciones de agarres en persona con lesión medular}\n}
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\n \n\n \n \n \n \n \n Display de ferrofluido basado en electroimánes.\n \n \n \n\n\n \n Martínez Burbano, M.; and Mayorca-Torres, D.\n\n\n \n\n\n\n Volume 7 . pages 127-131. Boletín Informativo CEI, 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2020},\n pages = {127-131},\n volume = {7},\n issue = {3},\n publisher = {Boletín Informativo CEI},\n id = {ceddadd2-adb2-3b33-bdbb-de34a3f746b2},\n created = {2021-06-14T01:48:25.631Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:00.807Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {MartinezBurbano2020},\n private_publication = {false},\n bibtype = {inbook},\n author = {Martínez Burbano, Mateo and Mayorca-Torres, Dagoberto},\n chapter = {Display de ferrofluido basado en electroimánes}\n}
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\n \n\n \n \n \n \n \n Dispensador automático de medicamentos sólidos para pacientes mediante uso de sistemas embebidos.\n \n \n \n\n\n \n Miguel, P.; Bastidas, B.; Giovanni, R.; Perafán, M.; and Mayorca-Torres, D.\n\n\n \n\n\n\n Volume 7 . pages 88-94. Boletín Informativo CEI, 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2020},\n pages = {88-94},\n volume = {7},\n issue = {3},\n publisher = {Boletín Informativo CEI},\n id = {7345ac5b-4ec7-3a09-a773-581435a22484},\n created = {2021-06-14T01:48:25.729Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-16T00:17:00.810Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Miguel2020},\n private_publication = {false},\n bibtype = {inbook},\n author = {Miguel, Paulo and Bastidas, Benavides and Giovanni, Richard and Perafán, Morán and Mayorca-Torres, Dagoberto},\n chapter = {Dispensador automático de medicamentos sólidos para pacientes mediante uso de sistemas embebidos}\n}
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\n \n\n \n \n \n \n \n \n Design of a mechatronic prototype to control the milk coagulation process in cheese making.\n \n \n \n \n\n\n \n Perafan, R., M.; Gomez Meneses, F., c.; Guerrero, N., p.; Saavedra, J., e.; and Torres, D., m.\n\n\n \n\n\n\n In 2020 IX International Congress of Mechatronics Engineering and Automation (CIIMA), pages 1-6, 11 2020. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"DesignWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Design of a mechatronic prototype to control the milk coagulation process in cheese making},\n type = {inproceedings},\n year = {2020},\n pages = {1-6},\n websites = {https://ieeexplore.ieee.org/document/9290323/},\n month = {11},\n publisher = {IEEE},\n day = {4},\n id = {34666cff-7cc7-3e6e-83ec-67f1a0c5318e},\n created = {2021-06-14T01:48:26.189Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T10:41:51.469Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Perafan2020},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Perafan, Richard Moran and Gomez Meneses, Fabio camilo and Guerrero, Nicolas perez and Saavedra, Jhonatan enriquez and Torres, Dagoberto mayorca},\n doi = {10.1109/CIIMA50553.2020.9290323},\n booktitle = {2020 IX International Congress of Mechatronics Engineering and Automation (CIIMA)}\n}
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\n \n\n \n \n \n \n \n \n Knee Joint Angle Measuring Portable Embedded System based on Inertial Measurement Units for Gait Analysis.\n \n \n \n \n\n\n \n Mayorca-Torres, D.; Caicedo-Eraso, J., C.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n International Journal on Advanced Science, Engineering and Information Technology, 10(2): 430. 3 2020.\n \n\n\n\n
\n\n\n\n \n \n \"KneeWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{\n title = {Knee Joint Angle Measuring Portable Embedded System based on Inertial Measurement Units for Gait Analysis},\n type = {article},\n year = {2020},\n keywords = {Gait analysis,IMU,Kalman filter,Knee-joint angle,Motion analysis},\n pages = {430},\n volume = {10},\n websites = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10814},\n month = {3},\n day = {30},\n id = {e507af2c-2b35-3b08-af7f-12c839cc3960},\n created = {2021-06-14T01:50:58.256Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:36:24.883Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2020a},\n private_publication = {false},\n abstract = {Inside clinical research, gait analysis is a fundamental part of the functional evaluation of the human body's movement. Its evaluation has been carried out through different methods and tools, which allow early diagnosis of diseases, and monitoring and assessing the effectiveness of therapeutic plans applied to patients for rehabilitation. The observational method is one of the most used in specialized centers in Colombia; however, to avoid any possible errors associated with the subjectivity observation, technological tools that provide quantitative data can support this method. This paper deals with the methodological process for developing a computational tool and hardware device for the analysis of gait, specifically on articular kinematics of the knee. This work develops a prototype based on the fusion of inertial measurement units (IMU) data as an alternative for the attenuation of errors associated with each of these technologies. A videogrammetry technique measured the same human gait patterns to validate the proposed system, in terms of accuracy and repeatability of the recorded data. Results showed that the developed prototype successfully captured the kneejoint angles of the flexion-extension motions with high consistency and accuracy in with the measurements obtained from the videogrammetry technique. Statistical analysis (ICC and RMSE) exhibited a high correlation between the two systems for the measures of the joint angles. These results suggest the possibility of using an IMU-based prototype in realistic scenarios for accurately tracking a patient's knee-joint kinematics during a human gait.},\n bibtype = {article},\n author = {Mayorca-Torres, Dagoberto and Caicedo-Eraso, Julio C. and Peluffo-Ordóñez, Diego H.},\n doi = {10.18517/ijaseit.10.2.10814},\n journal = {International Journal on Advanced Science, Engineering and Information Technology},\n number = {2}\n}
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\n Inside clinical research, gait analysis is a fundamental part of the functional evaluation of the human body's movement. Its evaluation has been carried out through different methods and tools, which allow early diagnosis of diseases, and monitoring and assessing the effectiveness of therapeutic plans applied to patients for rehabilitation. The observational method is one of the most used in specialized centers in Colombia; however, to avoid any possible errors associated with the subjectivity observation, technological tools that provide quantitative data can support this method. This paper deals with the methodological process for developing a computational tool and hardware device for the analysis of gait, specifically on articular kinematics of the knee. This work develops a prototype based on the fusion of inertial measurement units (IMU) data as an alternative for the attenuation of errors associated with each of these technologies. A videogrammetry technique measured the same human gait patterns to validate the proposed system, in terms of accuracy and repeatability of the recorded data. Results showed that the developed prototype successfully captured the kneejoint angles of the flexion-extension motions with high consistency and accuracy in with the measurements obtained from the videogrammetry technique. Statistical analysis (ICC and RMSE) exhibited a high correlation between the two systems for the measures of the joint angles. These results suggest the possibility of using an IMU-based prototype in realistic scenarios for accurately tracking a patient's knee-joint kinematics during a human gait.\n
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\n \n\n \n \n \n \n \n \n Biopotential Signals Acquisition from the Brain Through the MindWave Device: Preliminary Results.\n \n \n \n \n\n\n \n Galíndez-Floréz, I.; Coral-Flores, A.; Moncayo-Torres, E.; Mayorca-Torres, D.; and Guerrero-Chapal, H.\n\n\n \n\n\n\n Applied Technologies. ICAT 2019, pages 139-152. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"AppliedWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2020},\n pages = {139-152},\n websites = {http://link.springer.com/10.1007/978-3-030-42517-3_11},\n id = {ecb18d50-17ef-3b68-a312-2bb07c5ac679},\n created = {2021-06-14T01:50:58.437Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.376Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Galindez-Florez2020},\n private_publication = {false},\n bibtype = {inbook},\n author = {Galíndez-Floréz, Iván and Coral-Flores, Andrés and Moncayo-Torres, Edna and Mayorca-Torres, Dagoberto and Guerrero-Chapal, Herman},\n doi = {10.1007/978-3-030-42517-3_11},\n chapter = {Biopotential Signals Acquisition from the Brain Through the MindWave Device: Preliminary Results},\n title = {Applied Technologies. ICAT 2019}\n}
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\n \n\n \n \n \n \n \n \n Estudio preliminar de la distribución de presiones en posición bípeda mediante uso de baropodometría óptica y sensores de fuerza resistivos.\n \n \n \n \n\n\n \n Mayorca-Torres, D.; Moncayo-Torres, E.; Burbano-Martínez, D., M.; Chamorro-Lucero, M., A.; Riascos-Salas, J., A.; and Salazar-Castro, J., A.\n\n\n \n\n\n\n Revista Ibérica de Sistemas e Tecnologias de Informação, 33: 1-13. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"EstudioWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Estudio preliminar de la distribución de presiones en posición bípeda mediante uso de baropodometría óptica y sensores de fuerza resistivos},\n type = {article},\n year = {2020},\n pages = {1-13},\n volume = {33},\n websites = {https://www.proquest.com/openview/84d3390ac174369ebf5da474de479b5d/1?pq-origsite=gscholar&cbl=1006393},\n id = {a6e76d86-7b93-3428-8ddc-241b34b6d24a},\n created = {2021-06-14T01:50:58.461Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.381Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2020},\n private_publication = {false},\n bibtype = {article},\n author = {Mayorca-Torres, Dagoberto and Moncayo-Torres, Edna and Burbano-Martínez, Daniel M. and Chamorro-Lucero, Marco A. and Riascos-Salas, Jaime A. and Salazar-Castro, Jose A.},\n journal = {Revista Ibérica de Sistemas e Tecnologias de Informação}\n}
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\n \n\n \n \n \n \n \n \n Prototipo para la adquisición y caracterización de señales electromiográficas superficiales del movimiento de flexión-extensión de los dedos de la mano.\n \n \n \n \n\n\n \n Ortega, C., D.; Ibarra-Piandoy, A.; Viveros-Villada, E.; and Mayorca-Torres, D.\n\n\n \n\n\n\n Revista Ibérica de Sistemas e Tecnologias de Informação, 33. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"PrototipoWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{\n title = {Prototipo para la adquisición y caracterización de señales electromiográficas superficiales del movimiento de flexión-extensión de los dedos de la mano},\n type = {article},\n year = {2020},\n volume = {33},\n websites = {https://www.proquest.com/docview/2451419834?pq-origsite=gscholar&fromopenview=true},\n id = {e9037316-f53b-3e16-81aa-6ccd6b153f2d},\n created = {2021-06-14T01:50:58.830Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:36:25.167Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Ortega2020},\n private_publication = {false},\n bibtype = {article},\n author = {Ortega, Carlos D. and Ibarra-Piandoy, Alejandro and Viveros-Villada, Edison and Mayorca-Torres, Dagoberto},\n journal = {Revista Ibérica de Sistemas e Tecnologias de Informação}\n}
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\n  \n 2019\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Producto de apoyo mecatrónico centrado en la ocupación (Estudio de caso).pdf.\n \n \n \n\n\n \n Fabio Camilo Gómez Meneses, D., M.\n\n\n \n\n\n\n II Congreso Internacional de Bioingeniería y Sistemas Inteligentes. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2019},\n id = {221c9a7f-87ad-3b03-a5d5-aef5be4abc8c},\n created = {2021-06-14T01:48:24.068Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.013Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {FabioCamiloGomezMeneses2019},\n private_publication = {false},\n bibtype = {inbook},\n author = {Fabio Camilo Gómez Meneses, Dagoberto Mayorca-Torres},\n chapter = {Producto de apoyo mecatrónico centrado en la ocupación (Estudio de caso).pdf},\n title = {II Congreso Internacional de Bioingeniería y Sistemas Inteligentes}\n}
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\n \n\n \n \n \n \n \n Implementación de un sistema de captura de movimiento bidimensional para el analisis de marcha humana.\n \n \n \n\n\n \n Mayorca-Torres, D.; Caicedo-Eraso, J., C.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n II Congreso Internacional de Bioingeniería y Sistemas Inteligentes. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2019},\n id = {7167998a-6884-323d-b40c-37c9ae0f9bc6},\n created = {2021-06-14T01:48:24.727Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:23.693Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Mayorca-Torres2019a},\n private_publication = {false},\n bibtype = {inbook},\n author = {Mayorca-Torres, Dagoberto and Caicedo-Eraso, Julio C. and Peluffo-Ordóñez, Diego H.},\n chapter = {Implementación de un sistema de captura de movimiento bidimensional para el analisis de marcha humana},\n title = {II Congreso Internacional de Bioingeniería y Sistemas Inteligentes}\n}
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\n \n\n \n \n \n \n \n \n Multi-target tracking for sperm motility measurement using the kalman filter and JPDAF: Preliminary results.\n \n \n \n \n\n\n \n Mayorca-Torres, D.; Guerrero-Chapal, H.; Mejía-Manzano, J.; Lopez-Mesa, D.; Peluffo-Ordoñez, D., H.; and Salazar-Castro, J., A.\n\n\n \n\n\n\n Revista Ibérica de Sistemas e Tecnologias de Informação, 2019(E22): 282-294. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Multi-targetWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{\n title = {Multi-target tracking for sperm motility measurement using the kalman filter and JPDAF: Preliminary results},\n type = {article},\n year = {2019},\n keywords = {JPDAF,Kalman filter,Morphology,Motility,Spermatozoa},\n pages = {282-294},\n volume = {2019},\n websites = {https://www.proquest.com/openview/69fcef4b61d6ec863099124a9c2fe66f/1?pq-origsite=gscholar&cbl=1006393},\n id = {acdf8d1e-c0c7-3c99-835d-6aa1acca8909},\n created = {2021-06-14T01:50:58.511Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:36:24.923Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2019},\n private_publication = {false},\n abstract = {The determination of sperm motility characteristics is of great importance for the specification of fertility in men. The semengram is the main diagnostic test to confirm semen quality. Currently, many fertility laboratories use visual assistance techniques to evaluate by using the Makler counting chamber, where motility and sperm count analysis can be performed. This research project proposes a method that allows the quantification of motility through the use of the probabilistic filter (JPDAF) based on the Kalman filter. This research requires the stages of segmentation, feature extraction and development of tracking algorithms for the association of sperm trajectories when there are multiple objectives. A total of 200 individual sperm were selected and the effectiveness for sperm classification was determined according to the mobility categories established by the WHO, obtaining an average value of 93.5% for the categories (A, B, C and D).},\n bibtype = {article},\n author = {Mayorca-Torres, Dagoberto and Guerrero-Chapal, H. and Mejía-Manzano, Julio and Lopez-Mesa, Diana and Peluffo-Ordoñez, Diego H. and Salazar-Castro, José A.},\n journal = {Revista Ibérica de Sistemas e Tecnologias de Informação},\n number = {E22}\n}
\n
\n\n\n
\n The determination of sperm motility characteristics is of great importance for the specification of fertility in men. The semengram is the main diagnostic test to confirm semen quality. Currently, many fertility laboratories use visual assistance techniques to evaluate by using the Makler counting chamber, where motility and sperm count analysis can be performed. This research project proposes a method that allows the quantification of motility through the use of the probabilistic filter (JPDAF) based on the Kalman filter. This research requires the stages of segmentation, feature extraction and development of tracking algorithms for the association of sperm trajectories when there are multiple objectives. A total of 200 individual sperm were selected and the effectiveness for sperm classification was determined according to the mobility categories established by the WHO, obtaining an average value of 93.5% for the categories (A, B, C and D).\n
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\n \n\n \n \n \n \n \n \n Kernel-Spectral-Clustering-Driven Motion Segmentation: Rotating-Objects First Trials.\n \n \n \n \n\n\n \n Oña-Rocha, O.; Riascos-Salas, J., A.; Marrufo-Rodríguez, I., C.; Páez-Jaime, M., A.; Mayorca-Torres, D.; Ponce-Guevara, K., L.; Salazar-Castro, J., A.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n pages 30-40. Cota, V., R.; Barone, D., A., C.; Dias, D., R., C.; and Damázio, L., C., M., editor(s). Springer International Publishing, 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Website\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{\n type = {inbook},\n year = {2019},\n pages = {30-40},\n websites = {http://link.springer.com/10.1007/978-3-030-36636-0_3},\n publisher = {Springer International Publishing},\n city = {Cham},\n id = {389a0aec-b399-3bdd-974a-8d8669ed183e},\n created = {2021-12-13T11:28:46.344Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:39:29.056Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n source_type = {CONF},\n private_publication = {false},\n abstract = {Time-varying data characterization and classification is a field of great interest in both scientific and technology communities. There exists a wide range of applications and challenging open issues such as: automatic motion segmentation, moving-object tracking, and movement forecasting, among others. In this paper, we study the use of the so-called kernel spectral clustering (KSC) approach to capture the dynamic behavior of frames - representing rotating objects - by means of kernel functions and feature relevance values. On the basis of previous research works, we formally derive a here-called tracking vector able to unveil sequential behavior patterns. As a remarkable outcome, we alternatively introduce an encoded version of the tracking vector by converting into decimal numbers the resulting clustering indicators. To evaluate our approach, we test the studied KSC-based tracking over a rotating object from the COIL 20 database. Preliminary results produce clear evidence about the relationship between the clustering indicators and the starting/ending time instance of a specific dynamic sequence.},\n bibtype = {inbook},\n author = {Oña-Rocha, O and Riascos-Salas, J A and Marrufo-Rodríguez, I C and Páez-Jaime, M A and Mayorca-Torres, D and Ponce-Guevara, K L and Salazar-Castro, J A and Peluffo-Ordóñez, D H},\n editor = {Cota, Vinícius Rosa and Barone, Dante Augusto Couto and Dias, Diego Roberto Colombo and Damázio, Laila Cristina Moreira},\n doi = {10.1007/978-3-030-36636-0_3},\n chapter = {Kernel-Spectral-Clustering-Driven Motion Segmentation: Rotating-Objects First Trials}\n}
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\n\n\n
\n Time-varying data characterization and classification is a field of great interest in both scientific and technology communities. There exists a wide range of applications and challenging open issues such as: automatic motion segmentation, moving-object tracking, and movement forecasting, among others. In this paper, we study the use of the so-called kernel spectral clustering (KSC) approach to capture the dynamic behavior of frames - representing rotating objects - by means of kernel functions and feature relevance values. On the basis of previous research works, we formally derive a here-called tracking vector able to unveil sequential behavior patterns. As a remarkable outcome, we alternatively introduce an encoded version of the tracking vector by converting into decimal numbers the resulting clustering indicators. To evaluate our approach, we test the studied KSC-based tracking over a rotating object from the COIL 20 database. Preliminary results produce clear evidence about the relationship between the clustering indicators and the starting/ending time instance of a specific dynamic sequence.\n
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\n \n\n \n \n \n \n \n \n Method for the Improvement of Knee Angle Accuracy Based on Kinect and IMU: Preliminary Results.\n \n \n \n \n\n\n \n Mayorca-Torres, D.; Caicedo-Eraso, J., C.; and Peluffo-Ordoñez, D., H.\n\n\n \n\n\n\n pages 184-199. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Website\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{\n type = {inbook},\n year = {2019},\n pages = {184-199},\n websites = {http://link.springer.com/10.1007/978-3-030-36636-0_14},\n id = {9cb8a417-7a12-34b9-92a1-dbadacb23150},\n created = {2021-12-13T11:36:24.343Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:36:24.343Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {inbook},\n author = {Mayorca-Torres, D. and Caicedo-Eraso, Julio C. and Peluffo-Ordoñez, Diego H.},\n doi = {10.1007/978-3-030-36636-0_14},\n chapter = {Method for the Improvement of Knee Angle Accuracy Based on Kinect and IMU: Preliminary Results}\n}
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\n  \n 2018\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n Vinculación del Programa Ingeniería Mecatrónica de la Universidad Mariana a la Red Nacional de Ingeniería Mecatrónica y Automática.\n \n \n \n\n\n \n Gómez, F., C.; Mayorca-Torres, D.; and Viveros-Villada, E.\n\n\n \n\n\n\n Experiencias de capacidad cientìfica, desarrollo tecnologico e innovaciòn en los grupos de la facultad de ingenierìa - Universidad Mariana, pages 199-202. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{\n type = {inbook},\n year = {2018},\n pages = {199-202},\n id = {8d0a7a45-0667-36fe-ac81-bd2513e1ffe0},\n created = {2021-06-14T01:48:24.034Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.030Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Gomez2018},\n private_publication = {false},\n bibtype = {inbook},\n author = {Gómez, Fabio Camilo and Mayorca-Torres, Dagoberto and Viveros-Villada, Edison},\n doi = {https://doi.org/10.31948/unimar},\n chapter = {Vinculación del Programa Ingeniería Mecatrónica de la Universidad Mariana a la Red Nacional de Ingeniería Mecatrónica y Automática},\n title = {Experiencias de capacidad cientìfica, desarrollo tecnologico e innovaciòn en los grupos de la facultad de ingenierìa - Universidad Mariana}\n}
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\n \n\n \n \n \n \n \n Aplicación de técnicas de visión artificial en la identificación de características biométricas del esperma humano.\n \n \n \n\n\n \n Mayorca-Torres, D.; Muñoz, K., V.; and Gómez, F., C.\n\n\n \n\n\n\n Experiencias de capacidad cientìfica, desarrollo tecnologico e innovaciòn en los grupos de la facultad de ingenierìa - Universidad Mariana, pages 189-196. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{\n type = {inbook},\n year = {2018},\n pages = {189-196},\n id = {843b721e-3503-3e1a-8974-9cf180279ec2},\n created = {2021-06-14T01:48:24.429Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.035Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Mayorca-Torres2018},\n private_publication = {false},\n bibtype = {inbook},\n author = {Mayorca-Torres, Dagoberto and Muñoz, Karol Valentina and Gómez, Fabio Camilo},\n doi = {https://doi.org/10.31948/unimar},\n chapter = {Aplicación de técnicas de visión artificial en la identificación de características biométricas del esperma humano},\n title = {Experiencias de capacidad cientìfica, desarrollo tecnologico e innovaciòn en los grupos de la facultad de ingenierìa - Universidad Mariana}\n}
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\n \n\n \n \n \n \n \n I muestra de proyectos de mecatrónica y automatización 2016.\n \n \n \n\n\n \n Viveros-Villada, E.; Gómez, F., C.; and Mayorca-Torres, D.\n\n\n \n\n\n\n Experiencias de capacidad cientìfica, desarrollo tecnologico e innovaciòn en los grupos de la facultad de ingenierìa - Universidad Mariana, pages 177-181. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{\n type = {inbook},\n year = {2018},\n pages = {177-181},\n id = {8a86d753-9228-3da7-90f9-0ca1c9b44174},\n created = {2021-06-14T01:48:25.737Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.261Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Viveros-Villada2018},\n private_publication = {false},\n bibtype = {inbook},\n author = {Viveros-Villada, Edison and Gómez, Fabio Camilo and Mayorca-Torres, Dagoberto},\n doi = {https://doi.org/10.31948/unimar},\n chapter = {I muestra de proyectos de mecatrónica y automatización 2016},\n title = {Experiencias de capacidad cientìfica, desarrollo tecnologico e innovaciòn en los grupos de la facultad de ingenierìa - Universidad Mariana}\n}
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\n \n\n \n \n \n \n \n Revisión de modelos matemáticos aplicados al control y la simulación del proceso de fermentación.\n \n \n \n\n\n \n Muñoz-Cerón, N.; Rosero-Londoño, B.; and Mayorca-Torres\n\n\n \n\n\n\n I+T+C Investigación, Ciencia y Tecnología, 12. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{\n title = {Revisión de modelos matemáticos aplicados al control y la simulación del proceso de fermentación},\n type = {article},\n year = {2018},\n volume = {12},\n id = {5540cb07-60c3-386c-9c04-3dae831cb8ad},\n created = {2021-06-14T01:50:58.909Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T10:41:52.336Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Munoz-Ceron2018},\n private_publication = {false},\n bibtype = {article},\n author = {Muñoz-Cerón, Natalia and Rosero-Londoño, Brenda and Mayorca-Torres, undefined},\n journal = {I+T+C Investigación, Ciencia y Tecnología}\n}
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\n  \n 2017\n \n \n (7)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n Prototipo para la selección y clasificación de piedras preciosas usando técnicas de visión artificial.\n \n \n \n\n\n \n Torres, D., M.; Bolaños, H., I.; Cabrera, A., Q.; and Jojoa, J., M.\n\n\n \n\n\n\n Investigación al Centro. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2017},\n id = {a01a652d-150b-37c8-bae0-a514303e3499},\n created = {2021-06-14T01:48:24.227Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.038Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Torres2017},\n private_publication = {false},\n abstract = {La minería de piedras preciosas requiere, para el ser humano, un complicado proceso de excavación y extracción de la tierra en la que éstas se encuentran, por lo que se ha ideado un prototipo de máquina que se encargue de lo anterior. Este prototipo permite la recolección de piedras preciosas a partir de un sistema de identificación basado en técnicas de visión artificial, el desplazamiento en una mina y la realización del proceso de localización tridimensional de las piedras para su recolección y clasificación, teniendo en cuenta sus parámetros de tamaño y estimación de volumen. El sistema transmite las imágenes de manera remota a un ordenador para su procesamiento y monitoreo, desde donde se realiza el tratamiento estadístico de la información. Inicialmente se trabaja con la recolección de rubíes y esmeraldas, debido a su color intenso rojo y verde respectivamente, los cuales son más sencillos de identificar mediante visión artificial. El brazo robótico se diseñó de acuerdo con el brazo humano y es el encargado de identificar las piedras preciosas por medio de una cámara, y seleccionarlas para luego clasificarlas.},\n bibtype = {inbook},\n author = {Torres, Dagoberto Mayorca and Bolaños, Héctor Iván and Cabrera, Abigail Quintero and Jojoa, Juan Manuel},\n doi = {https://doi.org/10.31948/unimar},\n chapter = {Prototipo para la selección y clasificación de piedras preciosas usando técnicas de visión artificial},\n title = {Investigación al Centro}\n}
\n
\n\n\n
\n La minería de piedras preciosas requiere, para el ser humano, un complicado proceso de excavación y extracción de la tierra en la que éstas se encuentran, por lo que se ha ideado un prototipo de máquina que se encargue de lo anterior. Este prototipo permite la recolección de piedras preciosas a partir de un sistema de identificación basado en técnicas de visión artificial, el desplazamiento en una mina y la realización del proceso de localización tridimensional de las piedras para su recolección y clasificación, teniendo en cuenta sus parámetros de tamaño y estimación de volumen. El sistema transmite las imágenes de manera remota a un ordenador para su procesamiento y monitoreo, desde donde se realiza el tratamiento estadístico de la información. Inicialmente se trabaja con la recolección de rubíes y esmeraldas, debido a su color intenso rojo y verde respectivamente, los cuales son más sencillos de identificar mediante visión artificial. El brazo robótico se diseñó de acuerdo con el brazo humano y es el encargado de identificar las piedras preciosas por medio de una cámara, y seleccionarlas para luego clasificarlas.\n
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\n \n\n \n \n \n \n \n Prototipo vehículo controlado por visión artificial.\n \n \n \n\n\n \n Mayorca-Torres, D.; and Chamorro_Enríquez, J.\n\n\n \n\n\n\n Investigación al Centro, pages 263-277. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2017},\n pages = {263-277},\n id = {e7da5ab8-0abd-3021-ba05-85767f149e3f},\n created = {2021-06-14T01:48:24.239Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.145Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2017c},\n private_publication = {false},\n abstract = {El proyecto de investigación permite el desarrollo de un vehículo manejado a partir de coordenadas suministrados por un sistema de visión artificial, que permite a partir de la posición del vehículo y el posicionamiento del objetivo realizar la conducción autónoma del mismo. El entorno diario presenta dificultades de carácter visual, y en ocasiones la visión del conductor es limitada o nula. El proyecto pretende dar el apoyo en esos casos y también implementar el mismo sistema donde el beneficiario requiera una supervisión adicional. El análisis de imagen se realiza mediante el programa Matlab, el cual descompone la fotografía en píxeles y puede interpretar cada uno de ellos como información que el usuario o el programa requiera. El sistema es completamente dinámico, y la retroalimentación es en tiempo real, lo que hace que el sistema pueda adaptarse a cualquier situación. La comunicación programa - vehículo se realiza inalámbricamente, lo que permite una fácil manipulación e implementación a cualquier circunstancia},\n bibtype = {inbook},\n author = {Mayorca-Torres, Dagoberto and Chamorro_Enríquez, Jorge},\n doi = {https://doi.org/10.31948/unimar},\n chapter = {Prototipo vehículo controlado por visión artificial},\n title = {Investigación al Centro}\n}
\n
\n\n\n
\n El proyecto de investigación permite el desarrollo de un vehículo manejado a partir de coordenadas suministrados por un sistema de visión artificial, que permite a partir de la posición del vehículo y el posicionamiento del objetivo realizar la conducción autónoma del mismo. El entorno diario presenta dificultades de carácter visual, y en ocasiones la visión del conductor es limitada o nula. El proyecto pretende dar el apoyo en esos casos y también implementar el mismo sistema donde el beneficiario requiera una supervisión adicional. El análisis de imagen se realiza mediante el programa Matlab, el cual descompone la fotografía en píxeles y puede interpretar cada uno de ellos como información que el usuario o el programa requiera. El sistema es completamente dinámico, y la retroalimentación es en tiempo real, lo que hace que el sistema pueda adaptarse a cualquier situación. La comunicación programa - vehículo se realiza inalámbricamente, lo que permite una fácil manipulación e implementación a cualquier circunstancia\n
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\n \n\n \n \n \n \n \n Diseño y construcción de una banda mecánica para la selección de objetos de color.\n \n \n \n\n\n \n Coral, A., F.; Silva, S.; Torres, D., M.; and Meneses4, F., C., G.\n\n\n \n\n\n\n Investigación al Centro, pages 413-429. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2017},\n pages = {413-429},\n id = {8dffcef1-ddd0-38d3-b05a-db0c82072535},\n created = {2021-06-14T01:48:24.325Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.256Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Coral2017},\n private_publication = {false},\n abstract = {Este proyecto de investigación propone el diseño e implementación de una banda transportadora clasificadora de objetos por color, integrando técnicas de control y diseño industrial. El sistema cuenta con una banda transportadora, un sensor de color, motores para transporte y selección, y una unidad de procesamiento arduino uno que se encarga de identificar las dimensiones reales del fruto. La banda transportadora es un sistema de transporte continuo, usado principalmente para el traslado eficaz de diferentes objetos entre dos lugares determinados con diferentes propósitos. En la actualidad, el proceso de transporte de productos naturales o procesados desempeña un rol muy importante en los diferentes procesos industriales porque mejora y optimiza los tiempos de trabajo; además se destaca el manejo de productos en el transporte, la facilidad de adaptación en diferentes terrenos, la posibilidad de transporte de diversos materiales (productos agrícolas, vegetales, combustibles, materiales empleados en la construcción, etc.). El alcance de los resultados de este proyecto es contribuir al conocimiento en el sistema de control industrial, dada su gran importancia económica en el sector agroindustrial en la región de Nariño, impulsando a las diferentes microempresas del sector para que sean capaces de competir con las grandes multinacionales, presentando productos de excelente calidad.},\n bibtype = {inbook},\n author = {Coral, Andrés Felipe and Silva, Santiago and Torres, Dagoberto Mayorca and Meneses4, Fabio Camilo Gómez},\n doi = {https://doi.org/10.31948/unimar},\n chapter = {Diseño y construcción de una banda mecánica para la selección de objetos de color},\n title = {Investigación al Centro}\n}
\n
\n\n\n
\n Este proyecto de investigación propone el diseño e implementación de una banda transportadora clasificadora de objetos por color, integrando técnicas de control y diseño industrial. El sistema cuenta con una banda transportadora, un sensor de color, motores para transporte y selección, y una unidad de procesamiento arduino uno que se encarga de identificar las dimensiones reales del fruto. La banda transportadora es un sistema de transporte continuo, usado principalmente para el traslado eficaz de diferentes objetos entre dos lugares determinados con diferentes propósitos. En la actualidad, el proceso de transporte de productos naturales o procesados desempeña un rol muy importante en los diferentes procesos industriales porque mejora y optimiza los tiempos de trabajo; además se destaca el manejo de productos en el transporte, la facilidad de adaptación en diferentes terrenos, la posibilidad de transporte de diversos materiales (productos agrícolas, vegetales, combustibles, materiales empleados en la construcción, etc.). El alcance de los resultados de este proyecto es contribuir al conocimiento en el sistema de control industrial, dada su gran importancia económica en el sector agroindustrial en la región de Nariño, impulsando a las diferentes microempresas del sector para que sean capaces de competir con las grandes multinacionales, presentando productos de excelente calidad.\n
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\n \n\n \n \n \n \n \n Sistema Automático de monitoreo de tráfico vehicular medinate técnicas de visión artificial.\n \n \n \n\n\n \n Dagoberto Mayorca-Torres, Hamilton Guerrero, E., V.\n\n\n \n\n\n\n CACIED, pages 56. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2017},\n pages = {56},\n id = {2f03d976-8133-3b5b-83e3-57bcd4b79703},\n created = {2021-06-14T01:48:24.447Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.160Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {DagobertoMayorca-TorresHamiltonGuerrero2017},\n private_publication = {false},\n bibtype = {inbook},\n author = {Dagoberto Mayorca-Torres, Hamilton Guerrero, Edison Viveros},\n chapter = {Sistema Automático de monitoreo de tráfico vehicular medinate técnicas de visión artificial},\n title = {CACIED}\n}
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\n \n\n \n \n \n \n \n Control predictivo sujeto a restricciones de un motor DC presente en un exoesqueleto de miembro inferior.\n \n \n \n\n\n \n Mayorca-Torres, D.; Chamorro_Enríquez, J.; and Gómez, F.\n\n\n \n\n\n\n I Congreso Internacional de Bioingeniería y Sistemas Inteligentes, pages 19. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2017},\n pages = {19},\n id = {ac76cfe2-3ea6-366b-9d15-f9f77c63d3c8},\n created = {2021-06-14T01:48:24.677Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:23.781Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2017b},\n private_publication = {false},\n bibtype = {inbook},\n author = {Mayorca-Torres, Dagoberto and Chamorro_Enríquez, Jorge and Gómez, Fabio},\n chapter = {Control predictivo sujeto a restricciones de un motor DC presente en un exoesqueleto de miembro inferior},\n title = {I Congreso Internacional de Bioingeniería y Sistemas Inteligentes}\n}
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\n \n\n \n \n \n \n \n Análisis de morfología y distribución de presiones en el diseño de calzado en pacientes on diabétes mellitus.\n \n \n \n\n\n \n Mayorca-Torres, D.; Viveros, E.; and López, A.\n\n\n \n\n\n\n I Congreso Internacional de Bioingeniería y Sistemas Inteligentes, pages 11. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2017},\n pages = {11},\n id = {96ac8923-0b9b-3e03-92c7-c2100f40723e},\n created = {2021-06-14T01:48:24.729Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:23.913Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2017a},\n private_publication = {false},\n bibtype = {inbook},\n author = {Mayorca-Torres, Dagoberto and Viveros, Edison and López, Anghelo},\n chapter = {Análisis de morfología y distribución de presiones en el diseño de calzado en pacientes on diabétes mellitus},\n title = {I Congreso Internacional de Bioingeniería y Sistemas Inteligentes}\n}
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\n \n\n \n \n \n \n \n Diseño y construcción de prototipo para la clasificación de lulo, Solanum sp mediante técnicas de visión artificial y automatización.\n \n \n \n\n\n \n Mayorca-Torres, D.; Muñoz, K., V.; and Gómez, F., C.\n\n\n \n\n\n\n Investigación al Centro. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2017},\n id = {686d169c-574f-3147-b8f8-17fd266651b1},\n created = {2021-06-14T01:48:25.464Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.260Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2017},\n private_publication = {false},\n abstract = {En este trabajo de investigación se propone el diseño e implementación de un módulo para la clasificación de lulos, integrando técnicas de control y visión artificial. Este proceso de clasificación se realiza mediante supervisión visual de los agricultores de la región, que conlleva a que el tiempo de selección sea elevado. El análisis de imágenes es muy utilizado en el campo de la biología, ya que a partir de éstas se puede llegar a explicar y relacionar los cambios bioquímicos internos particulares del proceso de maduración del fruto, con los cambios físicos visualizados externamente. El sistema realiza la clasificación del lulo teniendo en cuenta cambios en tamaño, y del proceso de maduración del fruto de lulo en tres estadios de maduración: verde, pintón y amarillo. El alcance de los resultados es contribuir al conocimiento del comportamiento de maduración de los frutos, dada su gran importancia económica con grandes perspectivas de exportación},\n bibtype = {inbook},\n author = {Mayorca-Torres, Dagoberto and Muñoz, Karol Valentina and Gómez, Fabio Camilo},\n doi = {https://doi.org/10.31948/unimar},\n chapter = {Diseño y construcción de prototipo para la clasificación de lulo, Solanum sp mediante técnicas de visión artificial y automatización},\n title = {Investigación al Centro}\n}
\n
\n\n\n
\n En este trabajo de investigación se propone el diseño e implementación de un módulo para la clasificación de lulos, integrando técnicas de control y visión artificial. Este proceso de clasificación se realiza mediante supervisión visual de los agricultores de la región, que conlleva a que el tiempo de selección sea elevado. El análisis de imágenes es muy utilizado en el campo de la biología, ya que a partir de éstas se puede llegar a explicar y relacionar los cambios bioquímicos internos particulares del proceso de maduración del fruto, con los cambios físicos visualizados externamente. El sistema realiza la clasificación del lulo teniendo en cuenta cambios en tamaño, y del proceso de maduración del fruto de lulo en tres estadios de maduración: verde, pintón y amarillo. El alcance de los resultados es contribuir al conocimiento del comportamiento de maduración de los frutos, dada su gran importancia económica con grandes perspectivas de exportación\n
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\n  \n 2016\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Diseño de un sistema de visión por computador en tiempo real para la determinación de caracterísiticas morfológicas y movilidad de esperma humano.\n \n \n \n\n\n \n Mayorca-Torres, D.; and Viveros, E.\n\n\n \n\n\n\n CICI 2016 \"Uniendo fronteras desde la Orinoquía para el mundo\", pages 6. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{\n type = {inbook},\n year = {2016},\n pages = {6},\n id = {5a5d9fb4-ebe0-3811-b7c2-7ef407b1bd5c},\n created = {2021-06-14T01:48:24.320Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.231Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2016a},\n private_publication = {false},\n abstract = {La determinación de las características de la morfología y movilidad de los espermatozoides son de gran importancia para la especificación de la fertilidad en el hombre. En la actualidad muchos laboratorios de fertilidad usan técnicas de asistencia visual para la evaluación de este exámen, lo que puede llevar a cometer errores en el proceso, por ende el objetivo de este trabajo de investigación propone el desarrollo de una herramienta de apoyo al bacteriologo mediante el uso de técnicas de visión artificial para el análisis objetivo de una muestra de espermatozoides humanos. Para el desarrollo de la investigación fue necesario realizar las etapas de segmentación, extracción de características y desarrollo de algoritmo de reconocimiento de las trayectorias de los espermatozoides. El sistema permitió la identificación y clasificación para una base de datos de 200 espermatozoides mediante (MSV) obteniendo una exactitud en los resultados para la identificación de expermatozoides normales del 89.4%, para el conteo de espermatozoides muertos del 91.1% y movilidad se establece los porcentajes de fiabilidad por encima del 92% para categorías A y B. El software evidenció un buen desempeño en relación a los datos obtenidos por el experto y muestra ser una herramienta de apoyo viable por su fácil uso y bajo costo},\n bibtype = {inbook},\n author = {Mayorca-Torres, Dagoberto and Viveros, Edison},\n chapter = {Diseño de un sistema de visión por computador en tiempo real para la determinación de caracterísiticas morfológicas y movilidad de esperma humano},\n title = {CICI 2016 "Uniendo fronteras desde la Orinoquía para el mundo"}\n}
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\n La determinación de las características de la morfología y movilidad de los espermatozoides son de gran importancia para la especificación de la fertilidad en el hombre. En la actualidad muchos laboratorios de fertilidad usan técnicas de asistencia visual para la evaluación de este exámen, lo que puede llevar a cometer errores en el proceso, por ende el objetivo de este trabajo de investigación propone el desarrollo de una herramienta de apoyo al bacteriologo mediante el uso de técnicas de visión artificial para el análisis objetivo de una muestra de espermatozoides humanos. Para el desarrollo de la investigación fue necesario realizar las etapas de segmentación, extracción de características y desarrollo de algoritmo de reconocimiento de las trayectorias de los espermatozoides. El sistema permitió la identificación y clasificación para una base de datos de 200 espermatozoides mediante (MSV) obteniendo una exactitud en los resultados para la identificación de expermatozoides normales del 89.4%, para el conteo de espermatozoides muertos del 91.1% y movilidad se establece los porcentajes de fiabilidad por encima del 92% para categorías A y B. El software evidenció un buen desempeño en relación a los datos obtenidos por el experto y muestra ser una herramienta de apoyo viable por su fácil uso y bajo costo\n
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\n \n\n \n \n \n \n \n \n Digital image processing techniques applied to pressure analysis and morphological features extraction in footprints.\n \n \n \n \n\n\n \n Buchelly, F., J.; Mayorca, D.; Ballarín, V.; and Pastore, J.\n\n\n \n\n\n\n Journal of Physics: Conference Series, 705(1): 012020. 4 2016.\n \n\n\n\n
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@article{\n title = {Digital image processing techniques applied to pressure analysis and morphological features extraction in footprints.},\n type = {article},\n year = {2016},\n pages = {012020},\n volume = {705},\n websites = {https://iopscience.iop.org/article/10.1088/1742-6596/705/1/012020},\n month = {4},\n id = {cacf052f-08cf-3d9a-bb65-e33d6ea1b077},\n created = {2021-06-14T01:50:58.663Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.618Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Buchelly2016},\n private_publication = {false},\n abstract = {This paper shows the correlation between foot morphology and pressure distribution on footplant by means of a morphological parameters analysis and pressure calculation. Footprint images were acquired using an optical pedobarograph and then processed for obtaining binary masks and intensity images in gray scale. Morphological descriptors were obtained from the binary images and the Hernandez Corvo (HC) index was automatically calculated for determine the type of foot. Pressure distributions were obtained from gray scale images making a correspondence between light intensity in footprints and pressure. Pressure analysis was performed by finding the maximum pressure, the mean pressure and the ratio between them that determines the uniformity of the distribution. Finally, a high correlation was found between this ratio and the type of foot determined by HC index.},\n bibtype = {article},\n author = {Buchelly, F. J. and Mayorca, D. and Ballarín, V and Pastore, J.},\n doi = {10.1088/1742-6596/705/1/012020},\n journal = {Journal of Physics: Conference Series},\n number = {1}\n}
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\n This paper shows the correlation between foot morphology and pressure distribution on footplant by means of a morphological parameters analysis and pressure calculation. Footprint images were acquired using an optical pedobarograph and then processed for obtaining binary masks and intensity images in gray scale. Morphological descriptors were obtained from the binary images and the Hernandez Corvo (HC) index was automatically calculated for determine the type of foot. Pressure distributions were obtained from gray scale images making a correspondence between light intensity in footprints and pressure. Pressure analysis was performed by finding the maximum pressure, the mean pressure and the ratio between them that determines the uniformity of the distribution. Finally, a high correlation was found between this ratio and the type of foot determined by HC index.\n
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\n \n\n \n \n \n \n \n Reconstrucción de objetos 3D con simetría axial a partir de triangulación láser.\n \n \n \n\n\n \n Mayorca-Torres, D.; and López, A.\n\n\n \n\n\n\n UNIMAR, 01: 239-253. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Reconstrucción de objetos 3D con simetría axial a partir de triangulación láser},\n type = {article},\n year = {2016},\n pages = {239-253},\n volume = {01},\n id = {164967de-d398-39f2-a02b-afe134a6bc69},\n created = {2021-06-14T01:50:58.885Z},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2021-12-13T11:16:24.673Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mayorca-Torres2016},\n private_publication = {false},\n bibtype = {article},\n author = {Mayorca-Torres, Dagoberto and López, Anghelo},\n journal = {UNIMAR}\n}
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\n  \n 2007\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Simultaneous High-Resolution Electrical Imaging of Endocardial, Epicardial and Torso-Tank Surfaces Under Varying Cardiac Metabolic Load and Coronary Flow.\n \n \n \n \n\n\n \n Shome, S.; and Macleod, R.\n\n\n \n\n\n\n Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4466 LNCS: 320-329. 2007.\n \n\n\n\n
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@article{\n title = {Simultaneous High-Resolution Electrical Imaging of Endocardial, Epicardial and Torso-Tank Surfaces Under Varying Cardiac Metabolic Load and Coronary Flow},\n type = {article},\n year = {2007},\n pages = {320-329},\n volume = {4466 LNCS},\n websites = {https://link.springer.com/chapter/10.1007/978-3-540-72907-5_33},\n publisher = {Springer, Berlin, Heidelberg},\n id = {63ce90bf-9a39-3183-b192-4bd5a24d5151},\n created = {2022-05-09T00:42:17.365Z},\n accessed = {2022-05-08},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-05-09T00:42:17.476Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {We present an experimental preparation that allows simultaneous, high resolution mapping of endocardial, epicardial and torso tank surfaces from an isolated canine heart. The preparation additionally permits control over blood flow rate through a targeted region of...},\n bibtype = {article},\n author = {Shome, Shibaji and Macleod, Rob},\n doi = {10.1007/978-3-540-72907-5_33},\n journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}
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\n We present an experimental preparation that allows simultaneous, high resolution mapping of endocardial, epicardial and torso tank surfaces from an isolated canine heart. The preparation additionally permits control over blood flow rate through a targeted region of...\n
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\n \n\n \n \n \n \n \n \n Diseño de un sistema de procesamiento y caracterización de potenciales ECG para la clasificación de arritmias cardiacas, mediante el uso de técnicas de aprendizaje automático supervisadas | Boletí­n Informativo CEI.\n \n \n \n \n\n\n \n \n\n\n \n\n\n\n \n \n\n\n\n
\n\n\n\n \n \n \"DiseñoWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{\n title = {Diseño de un sistema de procesamiento y caracterización de potenciales ECG para la clasificación de arritmias cardiacas, mediante el uso de técnicas de aprendizaje automático supervisadas | Boletí­n Informativo CEI},\n type = {misc},\n websites = {https://revistas.umariana.edu.co/index.php/BoletinInformativoCEI/article/view/2710},\n id = {af2be89b-ee07-3615-a6ab-db0023335409},\n created = {2022-09-02T13:55:58.772Z},\n accessed = {2022-09-02},\n file_attached = {false},\n profile_id = {87ca63cb-6234-3429-a14d-4b37645af57b},\n group_id = {1ab4b95c-b54d-3697-b8de-c460d572d3f2},\n last_modified = {2022-09-02T13:55:58.772Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n bibtype = {misc},\n author = {}\n}
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