33 resultados para Deep Belief Network, Deep Learning, Gaze, Head Pose, Surveillance, Unsupervised Learning
em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain
Resumo:
OER-based learning has the potential to overcome many shortcomings and problems of traditional education. It is not hampered by IP restrictions; can depend on collaborative, cumulative, iterative refinement of resources; and the digital form provides unprecedented flexibility with respect to configuration and delivery. The OER community is a progressive group of educators and learners with decades of learning research to draw from, who know that we must prepare learners for an evolving and diverse reality. Despite this OER tends to replicate the unsuccessful characteristics of traditional education. To remedy this we may need to remember the importance of imperfection, mistakes, problems, disagreement, and the incomplete for engaged learning, and relinquish our notions of perfection, acknowledging that learners learn differently and we need diverse learners. We must stretch our perceptions of quality and provide mechanisms for engaging the incredible pool of educators globally to fulfill the promise of inclusive education.
Resumo:
El treball que presentem a continuació desenvolupa un marc teòric i pràctic per a l'avaluació i estudi d'un model generatiu aplicat a tasques discriminatives de senyals sonores sense component harmònica. El model generatiu està basat en la construcció de l'anomenada deep belief network, un tipus de xarxa neuronal generativa que permet realitzar tasques de classificació i regressió com també de reconstrucció dels seus estats interns.A partir de l'anàlisi realitzada hem pogut obtenir resultats en classificació aparellats amb els resultats de l'estat de l'art de classificadors de sons inharmònics. Tot i no establir una clara superioritat envers altres mètodes, el present treball ha permés desenvolupar una anàlisi per almodel avaluat amb moltes possibilitats de millora en un futur per altres treballs. Al llarg del treball es demostra la seva eficàcia en tasques discriminatives, com també la capacitat de reduir la dimensionalitat de les dades d'entrada al model i les possibilitats de reconstruir els seus estats interns per a obtenir unes sortides de dades de la xarxa similars a les entrades de descriptors.El desenvolupament centrat en la deep belief network ens ha permés construir un entorn unificat d'avaluació de diferents mètodes d'aprenentatge, construcció i adequació de diferents descriptors sonors i una posterior visualització d'estats interns del mateix, que han possibilitat una avaluaciócomparativa i unificada respecte altres mètodes classificadors de l'estat de l'art. També ens ha permés desenvolupar una implementació en un llenguatge d'alt nivell, que ha reportat més significància per a l'enteniment i anàlisi del model avaluat, amb una argumentació més sòlida.Els resultats i l'anàlisi que reportem són significatius i positius per al model avaluat, i degut a la poca literatura existent en el camp de classificació de sons inharmònics com els sons percussius,creiem que és una aportació interessant i significativa per al camp en el que s'engloba el treball.
Resumo:
Estudi elaborat a partir d’una estada al Laboratori de Inmunopatología del SIDA del Dr Alcamí a l’Instituto de Salud Carlos III-Centro Nacional de Microbiologia, entre finals de desembre de 2006 i març de 2007. L’objectiu ha estat millorar la caracterització de l’envolta del VIH-1 mitjançant l’obtenció de virus recombinants, ja que això permet estudiar l’envolta viral tant genètica com fenotípicament. En aquest cas, s’ha estudiat l'envolta viral dels pacients sotmesos a vacunació terapèutica amb cèl•lules dendrítiques polsades amb virus autòlegs. Durant aquesta estada es realitza un aprenentatge profund de les tècniques adequades per a l'amplificació i clonatge del gen complet de l'envolta del VIH-1 (env), així com de l’obtenció de virus recombinants amb l’envolta del pacient i els corresponents assaigs de tropisme viral i neutralització sèrica. Aquesta metodologia empra el virus quimèric pNL4.3 delta_env Renilla, construït a partir del virus de referència NL4.3 i que té dues característiques importants: la primera és que conté un gen marcador Renilla, que a l’interior de les cèl•lules infectades té activitat luciferasa. La utilització del virus pNL4.3 delta_env Renilla en assaigs de neutralització presenta diversos avantatges front altres assaigs més convencionals, tant a nivell de sensibilitat i especificitat com d’estalvi de temps.
Resumo:
Major coastal storms, associated with strong winds, high waves and intensified currents, and occasionally with heavy rains and flash floods, are mostly known because of the serious damage they can cause along the shoreline and the threats they pose to navigation. However, there is a profound lack of knowledge on the deep-sea impacts of severe coastal storms. Concurrent measurements of key parameters along the coast and in the deep-sea are extremely rare. Here we present a unique data set showing how one of the most extreme coastal storms of the last decades lashing the Western Mediterranean Sea rapidly impacted the deep-sea ecosystem. The storm peaked the 26th of December 2008 leading to the remobilization of a shallow-water reservoir of marine organic carbon associated with fine particles and resulting in its redistribution across the deep basin. The storm also initiated the movement of large amounts of coarse shelf sediment, which abraded and buried benthic communities. Our findings demonstrate, first, that severe coastal storms are highly efficient in transporting organic carbon from shallow water to deep water, thus contributing to its sequestration and, second, that natural, intermittent atmospheric drivers sensitive to global climate change have the potential to tremendously impact the largest and least known ecosystem on Earth, the deep-sea ecosystem.
Resumo:
Major coastal storms, associated with strong winds, high waves and intensified currents, and occasionally with heavy rains and flash floods, are mostly known because of the serious damage they can cause along the shoreline and the threats they pose to navigation. However, there is a profound lack of knowledge on the deep-sea impacts of severe coastal storms. Concurrent measurements of key parameters along the coast and in the deep-sea are extremely rare. Here we present a unique data set showing how one of the most extreme coastal storms of the last decades lashing the Western Mediterranean Sea rapidly impacted the deep-sea ecosystem. The storm peaked the 26th of December 2008 leading to the remobilization of a shallow-water reservoir of marine organic carbon associated with fine particles and resulting in its redistribution across the deep basin. The storm also initiated the movement of large amounts of coarse shelf sediment, which abraded and buried benthic communities. Our findings demonstrate, first, that severe coastal storms are highly efficient in transporting organic carbon from shallow water to deep water, thus contributing to its sequestration and, second, that natural, intermittent atmospheric drivers sensitive to global climate change have the potential to tremendously impact the largest and least known ecosystem on Earth, the deep-sea ecosystem.
Resumo:
Projecte d'adaptació del programa GNU Chess al sistema de grid computing 'Condor'. I amb això, es planteja un estudi sobre els algorismes de cerca i la seva aplicació en entorns distribuïts. Una sèrie de proves sobre unes mostres de una partida d'escacs contra el propi GNU Chess ens ajuden a posar de relleu els avantatges i inconvenients de cada un dels algorismes proposats.
Resumo:
This research explores the advantages and disadvantages of collaborative learning departing from two different methodological studies. In the first one, we will go deep into the reflections about group work of a student-teacher in her first experiences during a two months practicum in Sabadell's Emily Bronte. In the second one, we will analyze in a more empirical way the interaction that takes place among a trio of students engaged in a question-answering task about a text based on a three minutes vignette recorded on January 2010
Resumo:
Este proyecto se fraguó previamente a la elección de un trabajo final de carrera. Para poder entenderlo debo mencionar que trabajo como titulado superior de investigación y laboratorio en el Instituto de Ciencias del Mar (ICM)del Consejo Superior de Investigaciones Científicas (CSIC), dentro de un grupo de investigación en oceanografía biológica, concretamente en recursos marinos renovables. En base a mi experiencia con este tipo de entorno de investigación, observe que existían una serie de mejoras de carácter técnico que se podrían introducir, y que ha la larga iban a facilitar mucho más el trabajo científico del grupo.Este grupo durante muchos años se ha dedicado a la obtención de datos de dos especies marinas de interés comercial del mar Mediterráneo que tienen su hábitat en aguas profundas: la gamba rosada (Aristeus antennatus) y la cigala (Nephrops norvegicus). Por ende, de manera colateral, datos de las especies que interaccionan con ellas, y que por este hecho se ven influenciadas al ser pescadas las anteriores. En estos años ha ido en aumento la evidencia de que ecosistemas más someros de nuestros mares tienen una relación mucho mayor de lo que se suponía con los ecosistemas profundos de los mismos. Además estos ecosistemas profundos influyen en los someros, también más de lo que cabía esperar, actuando de refugio de larvas y especies que tienen capacidad de sobrevivir en rangos batimétricos amplios. Si desean tener una visión más profunda al respecto pueden ver algunas de las últimas referencias bibliográficas a las que hago referencia en este párrafo acerca de este hecho, así como del incremento de la importancia de los grupos de investigación en el mundo dedicados a este tipo de investigación. En algunas de estas publicaciones han participado miembros del grupo al cual va dirigido el trabajo que aquí expongo.A medida que crecía el número de miembros del grupo, la importancia del mismo, la mejora tecnológica empleada en los muestreos, las colaboraciones internacionales con otras instituciones y la cantidad de proyectos en el grupo de investigación, crecía a su vez proporcionalmente, la cantidad de datos y la disparidad en formatos y sistemas de almacenaje (Hojas MS Excel o bases de datos MS Access, archivos de texto, etc.). Se ha hecho necesaria entonces la creación de una herramienta que los gestione de una forma común, y una base de datos para el almacenaje de los mismos de una forma coherente y robusta. Así mismo el hecho de tener los datos en una fuente común, posibilitará su distribución a otras bases de datos mundiales sobre la materia con las cuales se colabora, dependientes de organismos tan en la cresta a de la ola, como el Census of marine life (COML), el Alfred Wegener Institute (AWI) y el Center for Marine Environmental Sciences (MARUM)de Alemania. Estos a su vez carecen de datos de las zonas geográficas pertenecientes al mar Mediterráneo foco de la investigación del grupo.
Resumo:
Much of the initial work on Open Educational Resources (OER) has inevitably concentrated on how to produce the resources themselves and to establish the idea in the community. It is now eight years since the term OER was first used and more than ten years since the concept of open content was described and a greater focus is now emerging on the way in which OER can influence policy and change the way in which educational systems help people learn. The Open University UK and Carnegie Mellon University are working in partnership on the OLnet (Open Learning Network), funded by The William and Flora Hewlett Foundation with the aims to search out the evidence for use and reuse of OER and to establish a network for information sharing about research in the field. This means both gathering evidence and developing approaches for how to research and understand ways to learn in a more open world, particularly linked to OER, but also looking at other influences.
Resumo:
This paper describes a Computer-Supported Collaborative Learning (CSCL) case study in engineering education carried out within the context of a network management course. The case study shows that the use of two computing tools developed by the authors and based on Free- and Open-Source Software (FOSS) provide significant educational benefits over traditional engineering pedagogical approaches in terms of both concepts and engineering competencies acquisition. First, the Collage authoring tool guides and supports the course teacher in the process of authoring computer-interpretable representations (using the IMS Learning Design standard notation) of effective collaborative pedagogical designs. Besides, the Gridcole system supports the enactment of that design by guiding the students throughout the prescribed sequence of learning activities. The paper introduces the goals and context of the case study, elaborates onhow Collage and Gridcole were employed, describes the applied evaluation methodology, anddiscusses the most significant findings derived from the case study.
Resumo:
The presence of cavities filled with new minerals in carbonate rocks is a common feature in oil reservoirs and lead-zinc deposits. Since groundwater equilibrates rapidly with carbonates, the presence of dissolution cavities in deep carbonate host rocks is a paradox. Two alternative geochemical processes have been proposed to dissolve carbonates at depth: hydrogen sulfide oxidation to sulfuric acid, and metal sulfide precipitation. With the aid of geochemical modeling we show that mixing two warm solutions saturated with carbonate results in a new solution that dissolves limestone. Variations in the proportion of the end-member fluids can also form a supersaturated mixture and fill the cavity with a new generation of carbonate. Mixing is in general more effective in dissolving carbonates than the aforementioned processes. Moreover, mixing is consistent with the wide set of textures and mineral proportions observed in cavity infillings.
Resumo:
A method to determine the thermal cross section of a deep level from capacitance measurements is reported. The results enable us to explain the nonexponential behavior of the capacitance versus capture time when the trap concentration is not negligible with respect to that of the shallow one, and the Debye tail effects are taken into account. A figure of merit for the nonexponential behavior of the capture process is shown and discussed for different situations of doping and applied bias. We have also considered the influence of the position of the trap level"s energy on the nonexponentiality of the capture transient. The experimental results are given for the gold acceptor level in silicon and for the DX center in Al0.55 Ga0.45As, which are in good agreement with the developed theory.
Resumo:
AMADEUS is a dexterous subsea robot hand incorporating force and slip contact sensing, using fluid filled tentacles for fingers. Hydraulic pressure variations in each of three flexible tubes (bellows) in each finger create a bending moment, and consequent motion or increase in contact force during grasping. Such fingers have inherent passive compliance, no moving parts, and are naturally depth pressure-compensated, making them ideal for reliable use in the deep ocean. In addition to the mechanical design, development of the hand has also considered closed loop finger position and force control, coordinated finger motion for grasping, force and slip sensor development/signal processing, and reactive world modeling/planning for supervisory `blind grasping¿. Initially, the application focus is for marine science tasks, but broader roles in offshore oil and gas, salvage, and military use are foreseen. Phase I of the project is complete, with the construction of a first prototype. Phase I1 is now underway, to deploy the hand from an underwater robot arm, and carry out wet trials with users.
Resumo:
AMADEUS is a dexterous subsea robot hand incorporating force and slip contact sensing, using fluid filled tentacles for fingers. Hydraulic pressure variations in each of three flexible tubes (bellows) in each finger create a bending moment, and consequent motion or increase in contact force during grasping. Such fingers have inherent passive compliance, no moving parts, and are naturally depth pressure-compensated, making them ideal for reliable use in the deep ocean. In addition to the mechanical design, development of the hand has also considered closed loop finger position and force control, coordinated finger motion for grasping, force and slip sensor development/signal processing, and reactive world modeling/planning for supervisory `blind grasping¿. Initially, the application focus is for marine science tasks, but broader roles in offshore oil and gas, salvage, and military use are foreseen. Phase I of the project is complete, with the construction of a first prototype. Phase I1 is now underway, to deploy the hand from an underwater robot arm, and carry out wet trials with users.
Resumo:
This chapter presents the state of the art concerning the deep-sea Mediterranean environment: geology, hydrology, biology and fisheries. These are the fields of study dealt with in the scientific papers of this volume. The authors are specialists who have addressed their research to the Mediterranean deep-sea environment during the last years. This introduction is an overview but not an exhaustive review.