NOSQL design for analytical workloads: Variability matters

Big Data has recently gained popularity and has strongly questioned relational databases as universal storage systems, especially in the presence of analytical workloads. As result, co-relational alternatives, commonly known as NOSQL (Not Only SQL) databases, are extensively used for Big Data. As the primary focus of NOSQL is on performance, NOSQL databases are directly designed at the physical level, and consequently the resulting schema is tailored to the dataset and access patterns of the problem in hand. However, we believe that NOSQL design can also benefit from traditional design approaches. In this paper we present a method to design databases for analytical workloads. Starting from the conceptual model and adopting the classical 3-phase design used for relational databases, we propose a novel design method considering the new features brought by NOSQL and encompassing relational and co-relational design altogether.Peer ReviewedPostprint (author's final draft

Estudio de las aplicaciones de Machine Learning y Deep Learning en el ámbito de la logística y la fabricación

El presente TFG explica la cuarta revolución industrial, en qué consiste y todas las tecnologías en las que se basa. Para entender mejor lo que implica una revolución industrial primero se explican las anteriores revoluciones industriales. Se cuenta cuál es la situación actual, tanto de Europa como de España, y cómo puede afectar a la cuarta revolución industrial. También se explica brevemente la filosofía de trabajo Lean Manufacturing. Finalmente, el trabajo se centra en el estudio mediante ejemplos de las distintas aplicaciones que se están dando al Machine Learning y al Deep Learning en los ámbitos de la logística y la producción.Departamento de Organización de Empresas y Comercialización e Investigación de MercadosGrado en Ingeniería en Organización Industria

CALIDAD EN LA EDUCACIÓN UNIVERSITARIA EL COMPROMISO DE SER UNIVERSIDAD CATÓLICA

Las Universidades Católicas deben asumir el desafío de ser, simultáneamente universidad y católica; el compromiso resulta ineludible puesto que hace a la esencia misma de su ser. El mejor camino para alcanzar su realización institucional y brindar el servicio que están llamadas a brindar, es la permanente e institucionalizada revisión de su accionar, por medio de la participación pluralista de todos sus miembros, con la finalidad de detectar sus falencias y efectuar las correcciones que demande la concreción de sus fines y objetivos institucionales. Principalmente, se hace hincapié en el proceso de auto evaluación que, adecuado a las características y fines institucionales y con las modalidades propias que le sean particulares a cada institución, debiera llevar adelante toda universidad en forma permanente, como el medio más idóneo para alcanzar, a diario, su mejor nivel. En su marco, deben repensarse los fines y objetivos institucionales, los perfiles de académicos, de docentes y de egresados, que le sean propios para cumplir con dichos fines y, conforme a sus posibilidades, elaborar en conjunto su proyecto educativo institucional. Esta tarea, cuenta con un marco normativo específico que avala de manera formidable este desafío: La Constitución Apostólica “Ex Corde Ecclesiae” y el Decreto General promulgado recientemente por la Conferencia Episcopal, son las herramientas que nos brindan los principios generales para llevar adelante esta tarea. En ella, sólo nuestra fe resulta incuestionable, a partir de allí, debemos animarnos a repensar nuestro ser de universidad católica a fin de que transformemos a nuestras instituciones en un “faro orientador” para el hombre actual. En el presente trabajo se esbozan algunas cuestiones que debieran ser abordadas en general por la comunidad educativa y se pretende motivar el análisis sereno de nuestro ser como universidad católica. El propósito de este trabajo, no es más que el de reflexionar acerca de la necesidad vital que siente hoy la Universidad de trabajar incansablemente en busca de un mejoramiento permanente de su quehacer y, muy especialmente, en cómo se vive este proceso vital, en el seno de una Universidad Católica. Hablar de calidad de la educación resulta hoy obligado. Plantear la necesidad de la calidad de la enseñanza resulta ineludible, más aún si se trata de la enseñanza universitaria

Planar PØP: feature-less pose estimation with applications in UAV localization

© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.We present a featureless pose estimation method that, in contrast to current Perspective-n-Point (PnP) approaches, it does not require n point correspondences to obtain the camera pose, allowing for pose estimation from natural shapes that do not necessarily have distinguished features like corners or intersecting edges. Instead of using n correspondences (e.g. extracted with a feature detector) we will use the raw polygonal representation of the observed shape and directly estimate the pose in the pose-space of the camera. This method compared with a general PnP method, does not require n point correspondences neither a priori knowledge of the object model (except the scale), which is registered with a picture taken from a known robot pose. Moreover, we achieve higher precision because all the information of the shape contour is used to minimize the area between the projected and the observed shape contours. To emphasize the non-use of n point correspondences between the projected template and observed contour shape, we call the method Planar PØP. The method is shown both in simulation and in a real application consisting on a UAV localization where comparisons with a precise ground-truth are provided.Peer ReviewedPostprint (author's final draft

Patterns of location of immigrants in Spain

Treball Final de Grau en Economia. Codi: EC1049. Curs acadèmic: 2018-2019This TFG tries to analyse the patterns that determine the location of immigrants in the different Spanish provinces through a Logit-Conditional model. The study is focused on the analysis of migrant’s inflows to Spain, the main idea is to detect the determinants of localization that consider the foreign population when decide to came to Spain, which provinces? Economic or tourism reasons? Coast or inside? Answer to these questions allows to know the motivation of immigrants to locate their households, and therefore to adequate political decisions to the different migration patterns. For a methodological point of view, location pattern has been detected using a logit conditional model that allows to ask following question: why a foreign people decide to locate in a province and not in the others

Pultec EQP-1A Modeling with Wave Digital Filters

This thesis presents the development of a virtual analog model of the passive equal-izer section of the Pultec EQP-1A studio equalizer using Wave Digital Filters (WDF). The aim of the project was to provide an accurate and high performance open-source emulation of the circuitry and sound characteristics of the original hardware unit. The development process involved compiling the original unit’s schematics, gener-ating LTSpice simulations, and implementing the circuit in Python using the pywdf library and R-Type adaptors (a kind of adaptor used for modeling complex circuit junctions that cannot be classified as series or parallel). Since the R-Type adaptors greatly affected the performance of the model, the circuit was slightly modified to maintain its behavior without the need for R-Type adaptors. The frequency response of the Python prototype was compared to the LTSpice simulation showing that at sufficiently high sampling rates the error between the model and the simulations are minimal. The Python model was then ported to C++ using the JUCE framework and Chowdsp’s wdf library to generate a VST3 plug-in that can be loaded into digital audio worksta-tions. The plug-in has oversampling capabilities to preserve the adequate behavior of the circuit at frequencies close to Nyquist. The performance and accuracy of the Python model was measured, and the C++ im-plementation compared against another open-source implementation of the circuit using WDFs and R-Type adaptors (developed in the Faust programming language). The final EQP-1A Python model was 75% faster than our own one that used R-Type adaptors and the C++ implementation was 40% faster than the EQP-1A implemen-tation in Faust and a much more accurate emulation of the original circuit

Modeling of Respiratory Diseases Evolving with Fibrosis from Organoids Derived from Human Pluripotent Stem Cells

Respiratory disease is one of the leading causes of morbidity and mortality worldwide. There is no cure for most diseases, which are treated symptomatically. Hence, new strategies are required to deepen the understanding of the disease and development of therapeutic strategies. The advent of stem cell and organoid technology has enabled the development of human pluripotent stem cell lines and adequate differentiation protocols for developing both airways and lung organoids in different formats. These novel human-pluripotent-stem-cell-derived organoids have enabled relatively accurate disease modeling. Idiopathic pulmonary fibrosis is a fatal and debilitating disease that exhibits prototypical fibrotic features that may be, to some extent, extrapolated to other conditions. Thus, respiratory diseases such as cystic fibrosis, chronic obstructive pulmonary disease, or the one caused by SARS-CoV-2 may reflect some fibrotic aspects reminiscent of those present in idiopathic pulmonary fibrosis. Modeling of fibrosis of the airways and the lung is a real challenge due to the large number of epithelial cells involved and interaction with other cell types of mesenchymal origin. This review will focus on the status of respiratory disease modeling from human-pluripotent-stem-cell-derived organoids, which are being used to model several representative respiratory diseases, such as idiopathic pulmonary fibrosis, cystic fibrosis, chronic obstructive pulmonary disease, and COVID-19.This research was funded by Instituto de Salud Carlos III (ISCIII) grant number PI19CIII/00003 and the APC was funded by IJMS.S

Nuevas citas para tres híbridos de "Asplenium" ("Aspleniaceae", Pteridophyta) en la Península Ibérica

Nuevas citas para tres híbridos de Asplenium (Aspleniaceae, Pteridophyta) en la Península Ibérica. Se dan a conocer nuevas localidades en la Península Ibérica para los siguientes híbridos de Asplenium: Asplenium x protomajoricum nothosubsp. protomajoricum (= A. fontanum subsp. fontanum x A.petrarchae subsp. bivalens), A. x recoderi nothosubsp. recoderi (= A. fontanum subsp. fontanum x A. ruta-muraria subsp. ruta-muraria) y A. x sleepiae nothosubsp. sleepiae (= A. obovatum subsp. lanceolatum x A. foreziense). Se aportan los datos del análisis citológico y se describen los principales caracteres morfológicos de las frondes