4to. Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad. Memoria académica

Este volumen acoge la memoria académica de la Cuarta edición del Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad, CITIS 2017, desarrollado entre el 29 de noviembre y el 1 de diciembre de 2017 y organizado por la Universidad Politécnica Salesiana (UPS) en su sede de Guayaquil. El Congreso ofreció un espacio para la presentación, difusión e intercambio de importantes investigaciones nacionales e internacionales ante la comunidad universitaria que se dio cita en el encuentro. El uso de herramientas tecnológicas para la gestión de los trabajos de investigación como la plataforma Open Conference Systems y la web de presentación del Congreso http://citis.blog.ups.edu.ec/, hicieron de CITIS 2017 un verdadero referente entre los congresos que se desarrollaron en el país. La preocupación de nuestra Universidad, de presentar espacios que ayuden a generar nuevos y mejores cambios en la dimensión humana y social de nuestro entorno, hace que se persiga en cada edición del evento la presentación de trabajos con calidad creciente en cuanto a su producción científica. Quienes estuvimos al frente de la organización, dejamos plasmado en estas memorias académicas el intenso y prolífico trabajo de los días de realización del Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad al alcance de todos y todas

Unsupervised Cardiac Image Segmentation via Multiswarm Active Contours with a Shape Prior

This paper presents a new unsupervised image segmentation method based on particle swarm optimization and scaled active contours with shape prior. The proposed method uses particle swarm optimization over a polar coordinate system to perform the segmentation task, increasing the searching capability on medical images with respect to different interactive segmentation techniques. This method is used to segment the human heart and ventricular areas from datasets of computed tomography and magnetic resonance images, where the shape prior is acquired by cardiologists, and it is utilized as the initial active contour. Moreover, to assess the performance of the cardiac medical image segmentations obtained by the proposed method and by the interactive techniques regarding the regions delineated by experts, a set of validation metrics has been adopted. The experimental results are promising and suggest that the proposed method is capable of segmenting human heart and ventricular areas accurately, which can significantly help cardiologists in clinical decision support

Evidence for protection of targeted reef fish on the largest marine reserve in the Caribbean

Metallic nanoparticles, of a few nanometers radii, show nonlinearities that are the object of experimental and theoretical studies, in particular in the framework of composites. A quantum mechanical analysis of such structures predict a Kerr type nonlinearity, however quite a recent publication on a classical approach has shown that a classical metallic nanoparticles composite shows a nonlinearity proportional to the electric field amplitude, not to the intensity as is in the Kerr case. The capability of filling up the core of a piece fiber with such composites open the possibility of preparing long enough pieces of fiber with such a composite as well as the straightforward drawing of a fiber doped with nanoparticles. In this work we carry on the numerical simulation on such class of fibers, with the specific aim of looking at the corresponding soliton propagation in an optical fiber with a core doped metal nanoparticles. " 2009 SPIE.",,,,,,"10.1117/12.839854",,,"http://hdl.handle.net/20.500.12104/43204","http://www.scopus.com/inward/record.url?eid=2-s2.0-70449557114&partnerID=40&md5=7e41b05555b5e864d0bc6a2fc045628d",,,,,,,,"Proceedings of SPIE - The International Society for Optical Engineering",,,,"7386",,"Scopus",,,,,,,,,,,,"Nonlinear pulse propagation in an optical fiber doped with conducting nano-particles",,"Conference Paper" "43140","123456789/35008",,"Pina-Amargós, F., Centro de Investigaciones de Ecosistemas Costeros, Cayo Coco, Morán, Ciego de Ávila, Cuba; González-Sansín, G., Department of Studies for Sustainable Development of the Coastal Zone, University of Guadalajara, Jalisco, Mexico; Martín-Blanco, F., Florida Fish andWildlife Conservation Commission, Fish and Wildlife Research Institute, Tequesta, FL, United States; Valdivia, A., Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States",,"Pina-Amargos, F

Nonlinear pulse propagation in an optical fiber doped with conducting nano-particles

Metallic nanoparticles, of a few nanometers radii, show nonlinearities that are the object of experimental and theoretical studies, in particular in the framework of composites. A quantum mechanical analysis of such structures predict a Kerr type nonlinearity, however quite a recent publication on a classical approach has shown that a classical metallic nanoparticles composite shows a nonlinearity proportional to the electric field amplitude, not to the intensity as is in the Kerr case. The capability of filling up the core of a piece fiber with such composites open the possibility of preparing long enough pieces of fiber with such a composite as well as the straightforward drawing of a fiber doped with nanoparticles. In this work we carry on the numerical simulation on such class of fibers, with the specific aim of looking at the corresponding soliton propagation in an optical fiber with a core doped metal nanoparticles. © 2009 SPIE

Scalable Visible Light Indoor Positioning System Using RSS

This paper proposes a visible light positioning system that utilizes commercial Light-Emitting Diode (LED) lamps as transmitters and Silicon PIN photodiodes as receivers. The light signals are transmitted and received using Intensity Modulation and Direct Detection (IMDD). The lamps are modulated using On–Off Keying (OOK) with the Manchester code, and the medium access control is achieved by Time-Division Multiplexing (TDM). The position is estimated using trilateration based on the Received Signal Strength (RSS). The system’s scalability is accomplished by replicating primary localization cells composed of seven lamps and drawing on the neighborhood synchrony, exploiting the spatial multiplexing property of the light. A basic unit in the cell comprises three lamps forming a localization triangle; then, one primary localization cell shall consist of six triangles sharing lights among basic neighbor units. The cell prototype was implemented to prove the working principle of the system. Three estimation methods were used to compute the position: a deterministic approach based on least-squares regression, an Artificial Neural Network (ANN) per lamp, and an ANN for the complete system. The best per lamp estimator was the ANN, computing positions that reached an experimental accuracy of 2.5 cm under indoor conditions