Imaginarios visuales. Espacios de representación en la comunicación visual: el cartelismo en sus orígenes

El present treball de recerca estudia l'evolució del cartell com a mitjà de comunicació des de finals del segle XIX fins a mitjans del XX. En el transcurs d'aquest anàlisi es posa de manifest la importància que va tenir aquest mitjà per a la transmissió ideològica en els nivells artístic, publicitari i de propaganda política. Considerarem els múltiples moviments artístics apareguts en aquest període històric, que van constituir innovadores fonts d'inspiració, una influència que s'estén fins als nostres dies. El cartell treu a l'art dels museus i el converteix en un producte de consum quotidià al voltant del món, gràcies a múltiples artistes, tant coneguts com desconeguts, i la seva creativitat impregna tots els objectes que ens envolten. És a través del recorregut històric que proposem, quan ens descobrim com a espectadors i protagonistes de la major revolució artística que ha existit en els dos últims segles.

Line search multilevel optimization as computational methods for dense optical flow

We evaluate the performance of different optimization techniques developed in the context of optical flowcomputation with different variational models. In particular, based on truncated Newton methods (TN) that have been an effective approach for large-scale unconstrained optimization, we develop the use of efficient multilevel schemes for computing the optical flow. More precisely, we evaluate the performance of a standard unidirectional multilevel algorithm - called multiresolution optimization (MR/OPT), to a bidrectional multilevel algorithm - called full multigrid optimization (FMG/OPT). The FMG/OPT algorithm treats the coarse grid correction as an optimization search direction and eventually scales it using a line search. Experimental results on different image sequences using four models of optical flow computation show that the FMG/OPT algorithm outperforms both the TN and MR/OPT algorithms in terms of the computational work and the quality of the optical flow estimation.

Estudio de la agudeza visual final en correlación con variables anatómicas y funcionales objetivas en pacientes con desprendimiento de retina primario

Estudi de cohort de pacients amb despreniment de retina primaris, intervinguts per vitrectomia posterior i agudesa visual final superior a 0,1. Es recullen 23 pacients i es practica un tall de mesura longitudinal a la cohort, recollint paràmetres demogràfics, agudesa visual final, tomografia de coherència òptica i electrorretinograma multifocal. S'estudien associacions entre l'agudesa visual final i les proves objectives anatòmiques i funcionals.

Repercusión visual posterior al explante de lente intraocular opacificada

INTRODUCCIÓ: Valorar els resultats funcionals i quirúrgics posteriors a l’explant de la lent intraocular H60M opacificada. MATERIAL I MÈTODES: Estudi retrospectiu de vint-i-cinc ulls sotmesos a intercanvi de H60M opacificada. Anàlisi dels resultats visuals i complicacions, abans, durant i després de l’explante. RESULTATS: Trobarem millors resultats visuals i una menor taxa de complicacions quan no associem vitrectomia anterior a la cirurgia, així como amb la col•locació de la lent secundaria a sulcus. CONCLUSIÓ: L’intercanvi de la LIO Hidroview opacificada suposa un risc quirúrgic addicional, que podem minimitzar durant el període intraoperatori intentant preservar les estructures oculars el més anatòmicament possible.

Target-guided synthesis of metal-based phosphatase inhibitors

Report for the scientific sojourn at the Imperial College of London, United Kingdom, from 2007 to 2009. PTEN is a tumour suppressor enzyme that plays important roles in the PI3K pathway which regulates growth, proliferation and survival and is thus related to many human disorders such as diabetes, neurodegenerative diseases, cardiovascular complications and cancer. It is hence of great interest to understand in detail its molecular behaviour and to find small molecules that can switch on/off its activity. For this purpose, metal complexes have been synthesized and preliminary studies in vivo show that all are capable of inhibiting PTEN.

Imatges i paraules : poesia visual catalana a la primera avantguarda

Es pregunta pels trets característics de la poesia visual de la primera avantguarda, els que resten fidels a la inspiració europea i els que sorgeixen com a resposta particular mediatitzada per unes determinades condicions socioculturals, i de quina manera aquests trets prenen cos en la producció poètica.

Librería visual adaptativa para integrar servicios de un touroperador en plataformas web

La innovación abierta (Open innovation) se presenta como una oportunidad para combinar los conocimientos internos de la venta de servicios vacacionales combinado con los conocimientos de tecnologías innovadoras. El desarrollo de una librería visual adaptativa pretende ser una solución a la tendencia de cambio actual y a las dificultades de integración de los servicios vacacionales. En el transcurso del proyecto se desarrolla un marco de trabajo que permita cumplir los objetivos marcados para la librería.

Gestió de factures electròniques amb .NET (Visual Studio Tools for Office)

Creació d¿un software de gestió de factures electròniques desenvolupat en aquesta plataforma tecnològica, amb indicació expressa d¿utilització de les eines VSTO (Visual Studio Tools for Office) en la seva última versió.

Visual Management Vinotec V.1.0

El projecte amb nom clau Visual Management Vinotec neix de la necessitat d'administrar i gestionar el catàleg de productes d'una empresa que es dedica a la distribució de licors espirituosos (conyacs i whiskies), generesos (Jerez), vins i caves. Es tracta d'una eina web destinada als professionals del món dels destil·lats i del món vinícola.

Traceroute Visual : Geolocalización IP

Aquest document desenvolupa la realització d'un

Search for dark matter using VHE gamma-ray telescopes

One of the unresolved questions of modern physics is the nature of Dark Matter. Strong experimental evidences suggest that the presence of this elusive component in the energy budget of the Universe is quite significant, without, however, being able to provide conclusive information about its nature. The most plausible scenario is that of weakly interacting massive particles (WIMPs), that includes a large class of non-baryonic Dark Matter candidates with a mass typically between few tens of GeV and few TeVs, and a cross section of the order of weak interactions. Search for Dark Matter particles using very high energy gamma-ray Cherenkov telescopes is based on the model that WIMPs can self-annihilate, leading to production of detectable species, like photons. These photons are very energetic, and since unreflected by the Universe's magnetic fields, they can be traced straight to the source of their creation. The downside of the approach is a great amount of background radiation, coming from the conventional astrophysical objects, that usually hides clear signals of the Dark Matter particle interactions. That is why good choice of the observational candidates is the crucial factor in search for Dark Matter. With MAGIC (Major Atmospheric Gamma-ray Imaging Cherenkov Telescopes), a two-telescope ground-based system located in La Palma, Canary Islands, we choose objects like dwarf spheroidal satellite galaxies of the Milky Way and galaxy clusters for our search. Our idea is to increase chances for WIMPs detection by pointing to objects that are relatively close, with great amount of Dark Matter and with as-little-as-possible pollution from the stars. At the moment, several observation projects are ongoing and analyses are being performed.

Autonomous underwater vehicle control using reinforcement learning policy search methods

Autonomous underwater vehicles (AUV) represent a challenging control problem with complex, noisy, dynamics. Nowadays, not only the continuous scientific advances in underwater robotics but the increasing number of subsea missions and its complexity ask for an automatization of submarine processes. This paper proposes a high-level control system for solving the action selection problem of an autonomous robot. The system is characterized by the use of reinforcement learning direct policy search methods (RLDPS) for learning the internal state/action mapping of some behaviors. We demonstrate its feasibility with simulated experiments using the model of our underwater robot URIS in a target following task

Towards Direct Policy Search Reinforcement Learning for Robot Control

This paper proposes a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, when using RL, has been to apply value function based algorithms, the system here detailed is characterized by the use of direct policy search methods. Rather than approximating a value function, these methodologies approximate a policy using an independent function approximator with its own parameters, trying to maximize the future expected reward. The policy based algorithm presented in this paper is used for learning the internal state/action mapping of a behavior. In this preliminary work, we demonstrate its feasibility with simulated experiments using the underwater robot GARBI in a target reaching task

A system to evaluate the accuracy of a visual mosaicking methodology

When underwater vehicles navigate close to the ocean floor, computer vision techniques can be applied to obtain motion estimates. A complete system to create visual mosaics of the seabed is described in this paper. Unfortunately, the accuracy of the constructed mosaic is difficult to evaluate. The use of a laboratory setup to obtain an accurate error measurement is proposed. The system consists on a robot arm carrying a downward looking camera. A pattern formed by a white background and a matrix of black dots uniformly distributed along the surveyed scene is used to find the exact image registration parameters. When the robot executes a trajectory (simulating the motion of a submersible), an image sequence is acquired by the camera. The estimated motion computed from the encoders of the robot is refined by detecting, to subpixel accuracy, the black dots of the image sequence, and computing the 2D projective transform which relates two consecutive images. The pattern is then substituted by a poster of the sea floor and the trajectory is executed again, acquiring the image sequence used to test the accuracy of the mosaicking system

A Camera-Projector System for Robot Positioning by Visual Servoing

Positioning a robot with respect to objects by using data provided by a camera is a well known technique called visual servoing. In order to perform a task, the object must exhibit visual features which can be extracted from different points of view. Then, visual servoing is object-dependent as it depends on the object appearance. Therefore, performing the positioning task is not possible in presence of nontextured objets or objets for which extracting visual features is too complex or too costly. This paper proposes a solution to tackle this limitation inherent to the current visual servoing techniques. Our proposal is based on the coded structured light approach as a reliable and fast way to solve the correspondence problem. In this case, a coded light pattern is projected providing robust visual features independently of the object appearance