Publicaciones

@conference{umaquinga2021SVM,

title = {Developments on Support Vector Machines for Multiple-Expert Learning},

author = {Ana C. Umaquinga-Criollo and Juan D. Tamayo Quintero, María N. Moreno-García adn Yahya Aalaila and Diego H. Peluffo-Ordóñez },

editor = {Springer},

url = {https://link.springer.com/chapter/10.1007/978-3-030-91608-4_57},

doi = {https://doi.org/10.1007/978-3-030-91608-4_57},

isbn = {978-3-030-91607-7},

year  = {2021},

date = {2021-11-23},

urldate = {2021-11-23},

booktitle = {International Conference on Intelligent Data Engineering and Automated Learning.},

volume = {13113 },

number = {22},

pages = { 587–598},

publisher = {Intelligent Data Engineering and Automated Learning – IDEAL 2021},

organization = {Spinger},

series = {Intelligent Data Engineering and Automated Learning – IDEAL 2021},

abstract = {In supervised learning scenarios, some applications require solve a classification problem wherein labels are not given as a single ground truth. Instead, the criteria of a set of experts is used to provide labels aimed at compensating for the erroneous influence with respect to a single labeler as well as the error bias (excellent or lousy) due to the level of perception and experience of each expert. This paper aims to briefly outline mathematical developments on support vector machines (SVM), and overview SVM-based approaches for multiple expert learning (MEL). Such MEL approaches are posed by modifying the formulation of a least-squares SVM, which enables to obtain a set of reliable, objective labels while penalizing the evaluation quality of each expert. Particularly, this work studies both two-class (binary) MEL classifier (BMLC) and its extension to multiclass through one-against all (OaA-MLC) including penalization of each expert’s influence. Formal mathematical developments are stated, as well as remarkable discussion on key aspects about the least-squares SVM formulation and penalty factors are provided.},

key = {Multiple expert learning, Supervised learning, Support vector machines},

keywords = {Multiple expert learning, Supervised Learning, Support Vector Machines},

pubstate = {published},

tppubtype = {conference}

}

@conference{fernandez2021_,

title = {A Brief Review on Instance Selection Based on Condensed Nearest Neighbors for Data Classification Tasks},

author = {Fernández-Fernández Y and Peluffo-Ordóñez D.H. and Umaquinga-Criollo A.C. and Lorente-Leyva L.L. and Cabrera-Alvarez E.N},

editor = {Lecture Notes in Electrical Engineering},

url = {https://link.springer.com/chapter/10.1007%2F978-981-33-4909-4_23},

doi = {https://doi.org/10.1007/978-981-33-4909-4_23},

isbn = {978-981-33-4908-7},

year  = {2021},

date = {2021-03-26},

booktitle = {International Conference on Communication, Computing and Electronics Systems. Proceedings of ICCCES 2020},

volume = {733},

pages = {313-324},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {The condensed nearest neighbor (CNN) classifier is one of the techniques used and known to perform recognition tasks. It has also proven to be one of the most interesting algorithms in the field of data mining despite its simplicity. However, CNN suffers from several drawbacks, such as high storage requirements and low noise tolerance. One of the characteristics of CNN is that it focuses on the selection of prototypes, which consists of reducing the set of training data. One of the goals of CNN seeks to achieve the reduction of information in such a way that the reduced information can represent large amounts of data to exercise decision-making on them. This paper mentions some of the most recent contributions to CNN-based unsupervised algorithms in a review that builds on the mathematical principles of condensed methods.},

keywords = {Classification, Nearest neighbor algorithms, Prototypes},

pubstate = {published},

tppubtype = {conference}

}

@conference{fernandez2021,

title = {Overview on kernels for least-squares support-vector-machine-based clustering: Explaining kernel spectral clustering},

author = {Yasmani Fernández and Iris Marrufo and Marcelo Páez and A. C. Umaquinga-Criollo and P. D. Rosero and D. H. Peluffo-Ordónez},

editor = {Universidad de La Habana},

url = {https://rev-inv-ope.pantheonsorbonne.fr/sites/default/files/inline-files/42121-10.pdf},

isbn = {0257-4306},

year  = {2021},

date = {2021-01-01},

booktitle = {Investigacion Operacional},

volume = {42},

number = {1},

pages = {113-123},

publisher = {Investigacion Operacional},

abstract = {ABSTRACT

This letter presents an overview on some remarkable basics on kernels as well as the formulation of a clustering approach based on least-squares support vector machines. Specifically, the method known as kernel spectral clustering (KSC) is of interest. We explore the links between KSC and a weighted version of kernel principal component analysis (WKPCA). Also, we study the solution of the KSC problem by means of a primal-dual scheme. All mathematical developments are carried out following an entirely matrix formulation. As a result, in addition to the elegant KSC formulation, important insights and hints about the use and design of kernel-based approaches for clustering are provided.



En esta investigación se presenta una descripción general de algunos conceptos básicos e importantes sobre kernels, así como la formulación de un enfoque de agrupación basado en máquinas de vectores de soporte de mínimos cuadrados. Específicamente, el método conocido como kernel espectral clustering (KSC) es de interés. Exploramos los enlaces entre KSC y una versión ponderada del análisis de componentes principales del núcleo (WKPCA). Además, estudiamos la solución del problema KSC

por medio de un esquema primal-dual. Todos los desarrollos matemáticos se llevan a cabo siguiendo una formulación completamente matricial. Como resultado, además de una formulación de KSC, se proporcionan ideas y sugerencias importantes sobre el uso y el diseño de enfoques basados en el kernels para clustering.},

keywords = {Clustering, kernel principal component analysis WKPC., Kernel spectral clustering KSC, Support Vector Machine (SVM)},

pubstate = {published},

tppubtype = {conference}

}

@conference{ortega2020,

title = {Introducing the Concept of Interaction Model for Interactive Dimensionality Reduction and Data Visualization},

author = {M. C. Ortega-Bustamante, W. Hasperué, D. H. Peluffo-Ordóñez, M. Paéz-Jaime, I. Marrufo-Rodríguez, P. Rosero-Montalvo, A. C. Umaquinga-Criollo, M. Vélez-Falconí},

editor = {Springer, Cham

Lecture Notes in Computer Science},

url = {https://link.springer.com/chapter/10.1007%2F978-3-030-58802-1_14 



},

doi = {https://doi.org/10.1007/978-3-030-58802-1_14 },

isbn = {978-3-030-58801-4},

year  = {2020},

date = {2020-10-02},

booktitle = {Computational Science and Its Applications – ICCSA 2020},

volume = {12250},

number = {Part II},

pages = {193-203},

abstract = {This letter formally introduces the concept of interaction model (IM), which has been used either directly or tangentially in previous works but never defined. Broadly speaking, an IM consists of the use of a mixture of dimensionality reduction (DR) techniques within an interactive data visualization framework. The rationale of creating an IM is the need for simultaneously harnessing the benefit of several DR approaches to reach a data representation being intelligible and/or fitted to any user’s criterion. As a remarkable advantage, an IM naturally provides a generalized framework for designing both interactive DR approaches as well as readily-to-use data visualization interfaces. In addition to a comprehensive overview on basics of data representation and dimensionality reduction, the main contribution of this manuscript is the elegant definition of the concept of IM in mathematical terms.},

keywords = {Data visualization, Dimensionality reduction, Interaction model Kernel functions},

pubstate = {published},

tppubtype = {conference}

}

@conference{cuzme2020,

title = {Simulation Tools for Solving Engineering Problems. Case Study},

author = {Fabián Cuzme-Rodríguez and Ana Cristina Umaquinga and Luis Suárez Zambrano and Henry Farinango-Endara and Hernán Domínguez-Limaico and Mario Mediavilla-Valverde},

editor = {Springer},

url = {https://link.springer.com/chapter/10.1007%2F978-3-030-42517-3_21

https://doi.org/10.1007/978-3-030-42517-3_21},

doi = {https://doi.org/10.1007/978-3-030-42517-3_21},

isbn = {978-3-030-42516-6},

year  = {2020},

date = {2020-03-03},

booktitle = { Applied Technologies},

journal = {First International Conference ICAT 2019},

volume = {Part I},

pages = { 271-285},

publisher = {Springer},

abstract = {The areas of Engineering in Applied Sciences have contributed significantly to the social, economic and technological advances of the world, being of interest to the academy mainly in the university system and specialization in Ecuador and in several countries both in the teaching-learning process as well as in research, which makes it increasingly stronger and proposes better and new solutions to environmental problems. This article performs a quantitative, descriptive and systemic analysis, which combines with the analysis of the ISO/IEC 25010 standard considers criteria such as functionality, performance, compatibility, usability, reliability, maintainability, portability to evaluate the quality of the software; The analysis involves simulation tools immersed in the teaching-learning processes of the engineering area with the determination to identify the tools used to solve specific problems in this field, particularly in the Telecommunications Engineering Degree at the “Universidad Técnica del Norte” University. This study is based on the opinion of experts in the university and business field who validate the established criteria. The results of this article identify the use of the different simulation tools in the university education and research environment, in addition to promoting the inclusion of these tools in the process of training students so that they can propose solutions at a scientific level and/or technological.},

note = {Print ISBN 978-3-030-42516-6  Online ISBN 978-3-030-42517-3},

keywords = {ISO-25010, MATLAB, NS2, NS3, Simulators},

pubstate = {published},

tppubtype = {conference}

}

@conference{umaquinga2020,

title = {Interactive Visualization Interfaces for Big Data Analysis Using Combination of Dimensionality Reduction Methods: A Brief Review},

author = {Ana C. Umaquinga-Criollo and Diego H. Peluffo-Ordóñez and Paúl D. Rosero-Montalvo and Pamela E. Godoy-Trujillo and Henry Benítez-Pereira},

editor = {Springer Charm },

url = {https://link.springer.com/chapter/10.1007/978-3-030-37221-7_17

https://doi.org/10.1007/978-3-030-37221-7_17},

doi = {https://doi.org/10.1007/978-3-030-37221-7_17},

isbn = {978-3-030-37220-0},

year  = {2020},

date = {2020-01-03},

booktitle = {Technology, Sustainability and Educational Innovation (TSIE)},

pages = {193-203},

publisher = {Springer, Cham},

abstract = {The Big Data analysis allows to generate knowledge based on mathematical models that surpass human capabilities, and therefore it is necessary to have robust computer systems. In this connection, the dimensionality reduction (DR) allows to perform approximations to make data perceptible in a simple and compact way while also the computational cost is reduced. Additionally, interactive interfaces enable the user to work with algorithms involving complex mathematical and statistical processes typically aimed at providing weighting factors to each RD algorithm to find the best way to represent data at a low dimension. In this study, a bibliographic re-view of the different models of interactive interfaces for the analysis of Big Data using RD is presented, by considering different, existing proposals and approaches on how to display the information. Particularly, those approaches based on mental processes and uses of color along with an intuitive handling are of special interest.},

note = { Print ISBN 978-3-030-37220-0 Online ISBN 978-3-030-37221-7 },

keywords = {Big data, Business intelligence, data mining, Dimensionality reduction, Interactive interface},

pubstate = {published},

tppubtype = {conference}

}

@conference{vega2019,

title = {Exploring the Characterization and Classification of EEG Signals for a Computer-Aided Epilepsy Diagnosis System},

author = {Emil Vega-Gualán and Andrés Vargas and Miguel Becerra and Ana Umaquinga and Jaime A. Riascos and Diego Peluffo},

editor = {Springer, Charm},

url = {https://link.springer.com/chapter/10.1007/978-3-030-37078-7_19},

doi = {https://doi.org/10.1007/978-3-030-37078-7_19},

isbn = {978-3-030-37078-7},

year  = {2019},

date = {2019-12-15},

booktitle = {Brain Informatics},

volume = {BI 2019},

number = {12},

pages = {189-198},

publisher = {Springer, Cham},

organization = {12th International Conference},

abstract = {Epilepsy occurs when localized electrical activity of neurons suffer from an imbalance. One of the most adequate methods for diagnosing and monitoring is via the analysis of electroencephalographic (EEG) signals. Despite there is a wide range of alternatives to characterize and classify EEG signals for epilepsy analysis purposes, many key aspects related to accuracy and physiological interpretation are still considered as open issues. In this paper, this work performs an exploratory study in order to identify the most adequate frequently-used methods for characterizing and classifying epileptic seizures. In this regard, a comparative study is carried out on several subsets of features using four representative classifiers: Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), K-Nearest Neighbor (KNN), and Support Vector Machine (SVM). The framework uses a well-known epilepsy dataset and runs several experiments for two and three classification problems. The results suggest that DWT decomposition with SVM is the most suitable combination.},

note = { Print ISBN 978-3-030-37077-0 Online ISBN 978-3-030-37078-7 },

keywords = {Electroencephalogram (EEG) Epilepsy diagnosis, K-Nearest Neighbors (KNN), Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Support Vector Machine (SVM)},

pubstate = {published},

tppubtype = {conference}

}

@conference{umaquinga2019a,

title = {Seguimiento académico a estudiantes con repitencia en la Carrera de Ingeniería en Telecomunicaciones: Fase dos periodo académico septiembre 2018 febrero 2019},

author = {Ana Cristina Umaquinga Criollo and Edgar Daniel Jaramillo Vinueza},

url = {https://www.acofipapers.org/index.php/eiei/article/view/122},

issn = {2665-5918},

year  = {2019},

date = {2019-08-31},

booktitle = {Memorias ACOFI Retos en la Formación de Ingenieros en la era digital},

journal = {Memorias ACOFI Retos en la formación de ingenieros en la era digital},

abstract = {Resumen: 

En esta segunda fase de estudio se presenta la continuación de un estudio cuantitativo, exploratorio y descriptivo del seguimiento académico a estudiantes con repitencia de segundas y terceras matrículas de la actual Carrera de Ingeniería en Telecomunicaciones y de la Carrera de Ingeniería en Redes y Comunicación con el fin de identificar las causas de repitencia manteniendo los factores de clasificación de su primera fase: familiares, económicos, sociológicos de los estudiantes en el periodo académico Septiembre 2018- Febrero 2019. 

 

El universo de estudiantes matriculados lo conforman: 289 estudiantes hombres y 81 estudiantes mujeres, dando un total de 370 estudiantes que iniciaron el ciclo de estudios en periodo académico en mención. En la segunda fase se analiza la muestra de 34 estudiantes con segundas y terceras matrículas asignados a una docente para seguimiento académico, el mismo que realiza un estudio comparativo con la fase 1, con el fin de confirmar los factores previamente identificados o en el descubrimiento de nuevos factores a ser considerados para un mejor análisis de las principales causas de repitencia en esta Carrera. 

 

Abstract: 

 

In this second phase of the study, the continuation of a quantitative, exploratory and descriptive study of academic follow-up is presented to students with second and third enrollment repeats of the current Career in Telecommunications Engineering and the Career in Network and Communication Engineering with the In order to identify the causes of repetition maintaining the classification factors of its first phase: family, economic, sociological of students in the academic period September 2018 - February 2019. 

The universe of students enrolled is made up of: 289 male students and 81 female students, giving a total of 370 students who started the cycle of studies in academic period in mention. In the second phase, the sample of 34 students with second and third enrollments assigned to a teacher for academic follow-up is analyzed, the same one that performs a comparative study with phase 1, in order to confirm the previously identified factors or in the discovery of new factors to be considered for a better analysis of the main causes of repetition in this Career},

keywords = {academic accompaniment, academic follow-up, acompañamiento académico, engineering students, estudiantes de ingeniería, ingeniería en telecomunicaciones, repetition, repitencia, seguimiento académico, telecommunications engineering},

pubstate = {published},

tppubtype = {conference}

}

@conference{yepez2019,

title = {Estudio analítico y situacional de los factores relacionados con la deserción estudiantil en el Instituto Superior Tecnológico "Ibarra" },

author = {Julio Arcesio Yépez and Ana Cristina Umaquinga},

url = {https://www.acofipapers.org/index.php/eiei/article/view/103},

issn = {2665-5918},

year  = {2019},

date = {2019-08-31},

booktitle = {Memorias ACOFI Retos en la Formación de Ingenieros en la era digital},

abstract = {El Instituto Tecnológico Superior Ibarra (ITSI) es una Institución de Educación Superior de derecho privado ubicado en la ciudad de Ibarra-Ecuador, es una institución acreditada en la categoría "A" de los Institutos Técnicos Tecnológicos del país, es reconocido por la Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación SENECYT del Ecuador, cuenta con tres carreras de estudio: Tecnologías en Desarrollo de Software; Diseño Gráfico; Redes y Telecomunicaciones, en tres horarios diurno, vespertino y nocturno al servicio 

 

La deserción estudiantil es una realidad no ajena para esta institución. La presente investigación presenta el estudio y resultados de una investigación descriptiva, exploratoria y cuantitativa en la que se identifica y analiza los factores causantes de la deserción estudiantil en esta institución, tras la toma de datos resultantes en una encuesta propuesta a los 205 estudiantes matriculados en el periodo actual de estudio con el fin aportar en la toma de decisiones en la consecución de soluciones para este problema crítico presente en las instituciones del país y del mundo .},

keywords = {calidad de la educación superior, deserción educación superior, deserción estudiantil, ISTI, rendimiento académico},

pubstate = {published},

tppubtype = {conference}

}

@conference{umaquingaCC2019,

title = {Computación en la Nube: Impacto en el modelo de consumo de las TI Cloud Computing: Impact on the TI consumption model},

author = {Ana C Ramírez-Recalde and Ana C Umaquinga-Criollo and Edgar Maya-Olalla and Carlos Vásquez},

editor = {UTN},

url = {https://issuu.com/utnuniversity/docs/ebook_tendencias_tecnol_gicas/122 

https://www.researchgate.net/publication/335256842_Computacion_en_la_Nube_Impacto_en_el_modelo_de_consumo_de_las_TI_Cloud_Computing_Impact_on_the_TI_consumption_model},

isbn = {978-9942-784-39-1},

year  = {2019},

date = {2019-06-29},

booktitle = {Tendencias tecnológicas aplicadas a la Ingeniería},

volume = {1},

pages = {123-135},

publisher = {UTN},

abstract = {Dada la necesidad actual de las empresas de ampliar la capacidad de sus recursos computacionales, Cloud Computing se ha convertido en una de las alternativas para resolver sus requerimientos con el uso de software, plataformas e infraestructura a través de la nube, reduciendo el costo de uso de hardware, mejorando el desempeño de las prestaciones de sus servicios. Cloud Computing se determina como un conglomerado de servicios referentes al almacenamiento y al tratamiento de aplicaciones desplegados a través de la red de acuerdo a los requerimientos de los usuarios que demandan cada vez mayor capacidad y disponibilidad de recursos. Este estudio señala los aspectos básicos de Cloud Computing; sus Modelos de servicio: Software como servicio (SaaS), Plataforma como servicio (PaaS), e Infraestructura como servicio (IaaS); Modelos de despliegue: Cloud pública, privada, híbrida, comunitaria; Arquitecturas de referencia: Cloud Consumer, Cloud provider, Cloud auditor, Cloud broker, Cloud carrier; y su impacto en el modelo de consumo de Tecnologías de Información. La investigación pretende dar una perspectiva del uso de Cloud Computing dirigido a personas y empresas que se inician o requieren utilizarlo, emplea el método descriptivo y documental que abarca un estudio de los fundamentos de Cloud Computing y del impacto que ha tenido en el campo empresarial, así como, procura ser material de estudio para la Carrera de Ingeniería en Electrónica y Redes de Comunicación de la Universidad Técnica del Norte en Entorno Virtual de Aprendizaje (EVA) utilizando Moodle y la metodología PACIE (Presencia, Alcance, Capacitación, Interacción, E-learning).},

keywords = {Computación en la nube; Cloud computing; Modelos de despliegue; modelos de servicio cloud computing; Arquitectura Cloud computing},

pubstate = {published},

tppubtype = {conference}

}

@conference{umaquinga2018redec,

title = {Seguimiento y Acompañamiento académico a estudiantes con repitencia en la Carrera de Ingeniería en Electrónica y Redes de Comunicación: Fase Inicial Periodo Académico Marzo –Agosto 2016},

author = {Ana C Umaquinga-Criollo and Edgar Jaramillo D Vinueza},

editor = {UTN},

url = {https://issuu.com/utnuniversity/docs/ebook_rol-de-la-educacion-superior-/53 

https://www.researchgate.net/publication/335244335_Seguimiento_y_Acompanamiento_academico_a_estudiantes_con_repitencia_en_la_Carrera_de_Ingenieria_en_Electronica_y_Redes_de_Comunicacion_Fase_Inicial_Periodo_Academico_Marzo_-Agosto_2016},

isbn = {978-9942-784-54-4},

year  = {2019},

date = {2019-05-14},

booktitle = {Rol de la Educación Superior frente a los desafíos sociales.},

volume = {II},

pages = {53},

publisher = {UTN},

address = {Pasto 2018},

organization = {II Seminario Internacional. “Desarrollo Latinoamericano de la Educación Superior”},

abstract = {La Carrera de Ingeniería en Electrónica y Redes de comunicación (CIERCOM) actualmente Carrera de Ingeniería en Telecomunicaciones (CITEL) de la Facultad de Ingeniería en Ciencias Aplicadas (FICA) de la Universidad Técnica del Norte (UTN) realiza seguimiento y acompañamiento académico a estudiantes con pérdida de semestre matriculados con segunda y tercera matrícula con el fin de disminuir el número de estudiantes con repitencia por semestre y mejorar el rendimiento académico de los estudiantes. La presente investigación realiza un estudio cualitativo, cuantitativo y descriptivo posterior a la elaboración de fichas de seguimiento a estudiantes con repitencia, como fase inicial se analiza la muestra de 15 estudiantes con 2da. matrícula asignados a una docente de la carrera de Ingeniería en Electrónica y Redes de Comunicación (CIERCOM) con el fin de determinar las principales causas de repitencia considerando factores familiares, económicos, sociológicos del estudiante por una parte mientras que por otra el proceso de enseñanza-aprendizaje del profesor en el periodo académico Marzo 2016 – Agosto 2016.},

keywords = {acompañamiento académico, educación superior, estudiantes de ingeniería, repitencia, seguimiento académico},

pubstate = {published},

tppubtype = {conference}

}

@conference{Rosero2018I,

title = {Air Quality Monitoring Intelligent System Using Machine Learning Techniques},

author = {Paul D Rosero-Montalvo and Jorge A Caraguay-Procel and Edgar D Jaramillo and Jaime M Michilena-Calderón and Ana C Umaquinga-Criollo and Mario Mediavilla-Valverde and Miguel A Ruiz and Luis A Beltrán and Diego H Peluffo},

editor = {IEEE Xplore},

url = {https://ieeexplore.ieee.org/document/8564511/authors#authors},

doi = {10.1109/INCISCOS.2018.00019},

isbn = {978-1-5386-7612-7},

year  = {2018},

date = {2018-12-06},

booktitle = {2018 International Conference on Information Systems and Computer Science (INCISCOS)},

publisher = {IEEE},

abstract = {Environment monitoring is so important because it is based on the first right of people, life and health. For this reason, this system monitoring air quality with different sensor nodes in the Ibarra that evaluate the parameters of CO2, NOx, UV Light, Temperature and Humidity. The data analysis through machine learning algorithms allow the system to classify autonomously if a certain geographical location is exceeding the established emission limits of gases. As a result, the k-Nearest Neighbor algorithm presented a great classification performance when selecting the most contaminated sectors.},

note = {ISBN Information: Electronic ISBN: 978-1-5386-7612-7 Print on Demand(PoD) ISBN: 978-1-5386-7613-4},

keywords = {air quality, intelligent system, monitoring system},

pubstate = {published},

tppubtype = {conference}

}

@conference{RoseroMontalvo2019a,

title = {Intelligent System of Squat Analysis Exercise to Prevent Back Injuries},

author = {Paul D Rosero-Montalvo and Anderson Dibujes and Carlos Vásquez-Ayala and Ana Umaquinga-Criollo and Jaime R Michilena and Luis Suaréz and Stefany Flores and Daniel Jaramillo},

editor = {Springer},

url = {https://link.springer.com/chapter/10.1007/978-3-030-02828-2_15},

doi = {10.1007/978-3-030-02828-2_15},

isbn = {Print ISBN 978-3-030-02827-5},

year  = {2018},

date = {2018-10-18},

booktitle = {Intelligent Technologies and Robotics},

pages = {193-205},

publisher = {Springer, Cham},

abstract = {The sports ergonomics study allows a bio-mechanical analysis in order to evaluate the impact produced by different muscle conditioning exercises such as the squat. This exercise, if carried out in an erroneous way, it can cause lumbar injuries. The present electronic system acquire the data of the Smith bar and the back by means of accelerometer sensors. This is done in order to implement an intelligent algorithm that allows to recognize if the athlete performs the exercise properly. For this, a stage of prototypes selection and a comparison of classification algorithms (CA) is carried out. Finally, a quantitative measure of equilibrium between both criteria is established for its proper selection. As a result, the k-Nearest Neighbors algorithm with k = 5 achieves a 96% performance and a 50% training matrix reduction.},

note = {Online ISBN 978-3-030-02828-2 

Information and Communication Technologies of Ecuador (TIC.EC)},

keywords = {Back injuries, Embedded systems, Intelligent systems, Squat analysis},

pubstate = {published},

tppubtype = {conference}

}

@conference{Anrrango2018,

title = {Electrónica Educativa que promueve el desarrollo de las habilidades motoras gruesas básicas en niños de edad temprana},

author = {Ariana De Los Ángeles Anrrango Sanguino and Ómar Ricardo Oña Rocha and Ana Cristina Umaquinga Criollo},

url = {https://www.acofipapers.org/index.php/eiei/article/view/368},

isbn = {978-958-680-084-6},

year  = {2018},

date = {2018-09-18},

booktitle = {Gestión, Calidad y desarrollo en las Facultades de Ingeniería.

Encuentro Internacional De Educación en Ingeniería  },

organization = {Asociación Colombiana de Facultades de Ingeniería},

abstract = {La motricidad se define como "el control que el niño(a) es capaz de tener sobre su propio cuerpo".(Madrona, Jordán, & Barreto, 2008) El desarrollo de las habilidades motoras gruesas a temprana edad en los niños de 3 a 6 años involucra el movimiento de los músculos largos de su cuerpo, incrementa la conciencia de su actividad muscular como el correr, brincar, promueve el desarrollo del sistema nervioso vestibular, así como su confianza y el dominio de su entorno espacial. Entre los métodos de enseñanza-aprendizaje para este rango de edades se encuentra el aprendizaje lúdico como los métodos: Educación personalizada, Agazzi que se enfoca al desarrollo de la vista, el Fröebeliano aporta al desarrollo para el oído y audición, mientras que, el Montessori se orienta al control postural y equilibrio, los mismos que, tienen como característica principal el juego, ya que genera en ellos un mejor uso de sus emociones y comportamientos, reduciendo su estrés y convirtiéndose un incentivo para aprender. Según (Piaget & Inhelder, 1997) "El conocimiento no se obtiene de los objetos sino de las acciones que realice sobre los objetos", en consecuencia, la aplicación de métodos lúdicos de enseñanza-aprendizaje mediante el uso de la tecnología, como dispositivos electrónicos y TICs pretende lograr dicha meta. En este contexto, la implementación de dispositivos electrónicos entre ellos prototipos electrónicos como recursos que faciliten el aprendizaje y enseñanza lúdicos, pretende contribuir a los beneficios significativos sobre la enseñanza tradicional. 

 

Abstract 

Motor skills are defined as "the control that the child is able to have on his own body." (Madrona, Jordán, & Barreto, 2008) 

The development of gross motor skills at an early age in children aged 3 to 6 years involves the movement of the long muscles of their body, increases the awareness of their muscular activity such as running, jumping, promotes the development of the vestibular nervous system, as well as their confidence and the control of their space environment. 

Among the methods of teaching and learning for this age range is ludic learning as the methods: Personalized education, Agazzi that focuses on the development of sight, the Fröebeliano contributes to the development for hearing and hearing, while the Montessori it is oriented to postural control and balance, the same ones that have the main characteristic of the game, since it generates in them a better use of their emotions and behaviors, reducing their stress and becoming an incentive to learn. 

According to (Piaget & Inhelder, 1997) "Knowledge is not obtained from the objects but from the actions that are performed on the objects", consequently, the application of playful methods of teaching and learning through the use of technology, such as electronic devices and ICTs aims to achieve that goal. 

In this context, the implementation of electronic devices including electronic prototypes as resources that facilitate ludic learning and teaching, aims to contribute to the significant benefits of traditional teaching. 

This study is descriptive, it covers the main approaches in the aspect of play methods and their application, as well as the results of these proposals, in order to be a base material or reference for future research in the area.},

keywords = {dispositivos electrónicos, enseñanza lúdica, innovación tecnológica, metodologías lúdicas, Motricidad gruesa},

pubstate = {published},

tppubtype = {conference}

}

@conference{narvaezb,

title = {Provisión de Mecanismos de Calidad de Servicio (QoS) para WLANs Unificadas. Provision of Quality of Service (QoS) Mechanisms for Unified WLANs},

author = {Sandra Karina Narvaez-Pupiales and Ana Cristina Umaquinga Criollo and Tatyana Katherine Saltos ; Echeverria},

editor = {Universidad de Nariño},

url = {https://www.researchgate.net/publication/336749747_PROVISION_DE_MECANISMOS_DE_CALIDAD_DE_SERVICIO_QoS_PARA_WLANs_UNIFICADAS},

isbn = {978-958-8958-65-1},

year  = {2018},

date = {2018-09-15},

booktitle = {El papel de la Ingeniería en tiempos de construcción de paz y buen vivir},

pages = {184-192},

publisher = {Universidad de Nariño},

abstract = {Resumen: 

El presente trabajo destacó la importancia de gestionar, optimizar los recursos y performance de las WLANs unificadas, con el objetivo principal de potenciar el acceso a la información de los diferentes entes del quehacer diario tanto para instituciones de carácter público o privado. De manera que las necesidades actuales de movilidad y capacidad de los usuarios requiere una especial atención para el fortalecimiento de la infraestructura inalámbrica y de los recursos de red traducidos en una prestación de servicios de mejor calidad que pueden ser potenciados a través del análisis e implementación de mecanismos de QoS WLAN, sin dejar de lado las consideraciones de diseño, planficación y tecnología robusta que estén en la capacidad de solventar o satisfacer la demanda actual de aplicaciones críticas y en tiempo real. 

 

Inicialmente, el estándar que define las WLANs (IEEE 802.11) no consideraba mecanismos de calidad de servicio, pero a raíz de solventar las necesidades aparece la variante 802.11e para dar fin a los inconvenientes presentados en este tipo de infraestructuras debido a la evolución y convergencia de los servicios. Es por eso que este estudio pretende dar a conocer los lineamientos y recomendaciones fundamentales para el despliegue de Calidad de Servicio en las redes inalámbricas de área Local. 

 

 

Abstract: 

 

This paper highlights the importance of managing, optimizing the resources and performance of unified WLANs. The main objective is related with the access to information of the different entities of the daily task both public or private institutions. Thereby, the current mobility and capacity needs of users require special attention for the strengthening of the wireless infrastructure and network resources translated into a provision of better quality services that can be enhanced through the analysis and implementation of WLAN QoS mechanisms, without leaving aside the consideration of design, planning and robust technology which are able to satisfy the current demand of critical applications in real time. 

 

Initially, the standard that defines the WLANs (IEEE 802.11) did not consider quality of service mechanisms, but as a result of solving the needs, the 802.11e variant appears to put an end to the inconveniences presented in this type of infrastructure due to the evolution and convergence of services. That is why this study aims to publicize the fundamental guidelines and recommendations for the deployment of Quality of Service in local area wireless networks.},

keywords = {Access Categories, Access Points, Calidad de Servicio, Categorías de Acceso, cobertura, coverage, Puntos de Acceso, Quality of Service, WLAN},

pubstate = {published},

tppubtype = {conference}

}

@conference{umaquinga2018b,

title = {El aprendizaje automático: Importancia, avances, técnicas y aplicaciones. Machine learning: Importance, advances, techniques and applications},

author = {Ana Cristina Umaquinga-Criollo and Luis Edilberto Suárez-Zambrano and Omar Ricardo Oña-Rocha},

editor = {Universidad de Nariño},

url = {https://www.researchgate.net/publication/336749930_El_aprendizaje_automatico_Importancia_avances_tecnicas_y_aplicaciones_Machine_learning_Importance_advances_techniques_and_applications},

isbn = {978-958-8958-65-1.},

year  = {2018},

date = {2018-09-15},

booktitle = {El papel de la Ingeniería en tiempos de construcción de paz y buen vivir.},

pages = {176-186},

publisher = {Universidad de Nariño},

abstract = {Resumen 

 

Este trabajo presenta un estudio descriptivo de las técnicas de aprendizaje automático llamado machine learning, enfocándose en las técnicas de aprendizaje supervisado y no supervisado, con la presentación de las técnicas exitosas para determinados casos de estudio, experimentación y puesta en producción. 

 

Esta investigación pretende ser de aporte a la comunidad científica y empresarial, principalmente investigadores que inician y quienes experimentan sus estudios en análisis comparativos en esta área de vital importancia. 

Este trabajo es de tipo investigativo, documental y exploratorio. Se realiza un recorrido por los principales tipos de aprendizaje automático, avances y proyectos enfocados a Inteligencia Artificial. 

 

Abstract 

 

This paper presents a descriptive study of machine learning techniques called machine learning, focusing on supervised and unsupervised learning techniques, with the presentation of successful techniques for specific cases of study, experimentation and production. 

 

This research aims to be of contribution to the scientific and business community, mainly researchers who initiate and who experience their studies in comparative analysis in this area of vital importance. 

 

This work is of investigative, documentary and exploratory type. A tour through the main types of machine learning, advances and projects focused on Artificial Intelligence.},

keywords = {Aplicaciones de Aprendizaje Automático, Aprendizaje Automático, Aprendizaje no-Supervisado, Aprendizaje Supervisado, Artificial Intelligence, Inteligencia Artificial, Machine Learning, Machine Learning Applications, Supervised Learning, Unsupervised Learning},

pubstate = {published},

tppubtype = {conference}

}

@conference{10.1007/978-3-319-92537-0_64,

title = {A Novel Color-Based Data Visualization Approach Using a Circular Interaction Model and Dimensionality Reduction},

author = {Jose Alejandro Salazar-Castro and Paul D Rosero-Montalvo and Diego Fernando Peña-Unigarro and Ana Cristina Umaquinga-Criollo and Zenaida Castillo-Marrero and Edgardo Javier Revelo-Fuelagán and Diego Hernán Peluffo-Ordóñez and César Germán Castellanos-Domínguez},

editor = {Tingwen Huang and Jiancheng Lv and Changyin Sun and Alexander V Tuzikov},

url = {https://link.springer.com/chapter/10.1007%2F978-3-319-92537-0_64},

doi = {10.1007/978-3-319-92537-0_64},

isbn = {978-3-319-92537-0},

year  = {2018},

date = {2018-05-26},

booktitle = {Advances in Neural Networks - ISNN 2018},

volume = {10878},

pages = {557-567},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {Dimensionality reduction (DR) methods are able to produce low-dimensional representations of an input data sets which may become intelligible for human perception. Nonetheless, most existing DR approaches lack the ability to naturally provide the users with the faculty of controlability and interactivity. In this connection, data visualization (DataVis) results in an ideal complement. This work presents an integration of DR and DataVis through a new approach for data visualization based on a mixture of DR resultant representations while using visualization principle. Particularly, the mixture is done through a weighted sum, whose weighting factors are defined by the user through a novel interface. The interface's concept relies on the combination of the color-based and geometrical perception in a circular framework so that the users may have a at hand several indicators (shape, color, surface size) to make a decision on a specific data representation. Besides, pairwise similarities are plotted as a non-weighted graph to include a graphic notion of the structure of input data. Therefore, the proposed visualization approach enables the user to interactively combine DR methods, while providing information about the structure of original data, making then the selection of a DR scheme more intuitive.},

note = {Print ISBN: 978-3-319-92536-3},

keywords = {Data visualization, Dimensionality reduction, Interactive interface, Pairwise similarity},

pubstate = {published},

tppubtype = {conference}

}

@conference{rosero-montalvo_neighborhood_2017,

title = {Neighborhood Criterion Analysis for Prototype Selection Applied in WSN Data},

author = {P D Rosero-Montalvo and A C Umaquinga-Criollo and S Flores and L Suarez and J Pijal and K L Ponce-Guevara and D Nejer and A Guzman and D Lugo and K Moncayo},

url = {https://ieeexplore.ieee.org/document/8328096},

doi = {10.1109/INCISCOS.2017.47},

isbn = {978-1-5386-2644-3},

year  = {2018},

date = {2018-04-02},

booktitle = {2017 International Conference on Information Systems and Computer Science (INCISCOS)},

pages = {128-132},

publisher = {IEEE},

abstract = {The present work presents an analysis of the neighborhood criterion for the prototype selection (PS) in supervised machine learning classification algorithms. To do this, we use the condensed neighbor algorithm CNN to eliminate redundant data with the normalization of the distance to the centroid of each data subset criterion. This is done, in order to obtain the training matrix of the most optimal model. A selection of neighborhood criterion has been created from the quantification of the balance between the performance of the classification and the reduction of data set (CER). As proof of the test, we performed: (i) CER and (ii) real-time tests with the implementation of the algorithm within the WSN. The result is a data reduction of up to 88 % and a performance of the kNN classifier of 75%. It is concluded that the criterion of neighborhood with normalized distance must be less than or equal to 0.2 and the implementation of kNN with k = 1 obtains the best CER.},

note = {Electronic ISBN: 978-1-5386-2644-3 

Print on Demand(PoD) ISBN: 978-1-5386-2645-0},

keywords = {{WSN} data, classification and the reduction of data set, Computer science, data reduction, data subset criterion, Information systems, learning (artificial intelligence), Machine learning algorithms, neighborhood criterion analysis, normalized distance, pattern classification, prototype selection, Prototypes, redundant data, set theory, Silicon, supervised machine learning classification algorithms, Training, training matrix, wireless sensor networks},

pubstate = {published},

tppubtype = {conference}

}