Traffic analysis of Internet user behavior and content demand patterns

El estudio del trafico de internet es relevante para poder mejorar la calidad de servicio de los usuarios. Ser capaz de conocer cuales son los servicios más populares y las horas con más usuarios activos permite identificar la cantidad de tráfico producido y, por lo tanto, diseñar una red capaz de soportar la actividad esperada. La implementación de una red considerando este conocimiento puede reducir el tiempo de espera considerablemente, mejorando la experiencia de los usuarios en la web. Ya existen análisis del trafico de los usuarios y de sus patrones de demanda. Pero, los datos utilizados en estos estudios no han sido renovados, por lo tanto los resultados obtenidos pueden estar obsoletos y se han podido producir cambios importantes. En esta tesis, se estudia la cantidad de trafico entrante y saliente producido por diferentes aplicaciones y se ha hecho una evolución teniendo en cuenta datos presentes y pasados. Esto nos permitirá entender los cambios producidos desde 2007 hasta 2015 y observar las tendencias actuales. Además, se han analizado los patrones de demanda de usuarios del inicio de 2016 y se han comparado con resultados previos. La evolución del tráfico demuestra cambios en las preferencias de los usuarios, a pesar de que los patrones de demanda siguen siendo los mismos que en años anteriores. Los resultados obtenidos en esta tesis confirman las predicciones sobre un aumento del tráfico de 'Streaming Media'; se ha comprobado que el tráfico de 'Streaming Media' es el tráfico total dominante, con Netflix como el mayor contribuidor.L'estudi del trànsit d'Internet és rellevant per a poder millor la qualitat de servei dels usuaris. Ser capaç de conèixer quins són els serveis més popular i les hores amb més usuaris actius permet identificar la quantitat de trànsit produït i, per tant, dissenyar una xarxa capaç de soportar la activitat esperada. L'implementació d'una xarxa considerant aquest coneixement pot reduir el temps d'espera considerablement, millorant l'experiència dels usuaris a la web. Ja existeixen anàlisis del transit dels usuaris i els seus patrons de demanda. Però, les dades utilitzades en aquests estudis no han sigut renovades, per tant els resultats obtinguts poden estar obsolets i s'han produït canvis importants. En aquesta tesis, s'estudia la quantitat de transit entrant i sortint produit per diferents aplicacions i s'ha fet una evolució, tenint en compte dades presents i passades. Això ens permetrà entendre els canvis produïts des de 2007 fins 2015 i observar les tendències actuals. A més, s'han analitzat els patrons de demanda de usuaris de principis de 2016 i s'han comparat amb resultats previs. L'evolució del trànsit mostra canvis en las preferències dels usuaris, en canvi els patrons de demanda continuen sent els mateixos que en anys posteriors. Els resultats obtinguts en aquesta tesis confirmen les prediccions sobre un augment del trànsit de 'Streaming Media'; s'ha comprovat que el trànsit de 'Streaming Media' es el trànsit total dominant, amb Netflix com el major contribuïdor.The study of Internet traffic is relevant in order to improve the quality of service of users. Being able to know which are the most popular services and the hours with most active users can let us identify the amount of inbound and outbound traffic produced, and hence design a network able to support the activity expected. The implementation of a network considering that knowledge can reduce the waiting time of users considerably, improving the users’ experience in the web. Analysis of users’ traffic and user demand patterns already exist. However, the data used in these studies is not renewed, thus the results found can be obsolete and considerable changes would have happened. In this bachelor’s thesis, it is studied the amount of inbound and outbound traffic produced considering different applications and the evolution when regarding previous and actual data has been taken into account. This would let us understand the changes produced from 2007 to 2015 and observe the tendencies nowadays. In addition, it has been analyzed the user demand patterns in the beginning of 2016 and it has been contrasted with previous results. The evolution of traffic has shown changes in users’ preferences, although their demand patterns are still the same as previous years. The results found in this thesis confirmed the expectations about an increase of streaming media Internet traffic; it was proved that streaming media traffic is the dominant total traffic, with Netflix as the major contributor

Sistema de detección de intrusión para dispositivos empotrados de bajo consumo

The popularization of smartphones, tablets and personal computers is steering the digital transformation towards the necessities of end users, aiming to provide ease in their everyday tasks. As technology moves forward, the possibility to offer users total management of their home using a single device is becoming more popular. More devices are entering the market every day, such as lights, motors, intruder detection systems, etc. Nowadays, the deployment of affordable devices has become a necessity, given the current economic state. With the assist of microcontrollers, and all the new components that are being introduced regularly in the market, it has become possible for users to develop their own systems for their home, and as such, decide upon the different technologies they require based on their needs. This Bachelor Thesis details the process of obtaining an affordable approach to an intruder detection system. The system will be deployed in a Raspberry Pi, one of the most commonly used microcomputers in the world; and will use an Arduino UNO connected to a PIR sensor for the motion detection. With the help of the Telegram service, we will deploy a Telegram bot that will provide a message service to the user with a friendly and easy to use interface. This application will provide the end user similar functionalities as those systems that are already in the market.La popularización de los Smartphones, tablets y ordenadores personales está dirigiendo la transformación digital hacia las necesidades del usuario final, tratando de proporcionar a los usuarios facilidad en la realización de sus tareas cotidianas. A medida que la tecnología avanza, la posibilidad de ofrecer a los usuarios la opción de controlar completamente de su hogar a través de un único dispositivo se hace cada vez más popular. Cada día aparecen más dispositivos en el mercado, desde luces, motores de movimiento y sistemas de detección de intrusos. Hoy en día, la instalación de dispositivos asequibles se ha convertido en una necesidad, dado el estado económico actual. Con la ayuda de los microcontroladores y todos los nuevos componentes que se introducen regularmente en el mercado, los usuarios pueden desarrollar sus propios sistemas para su hogar y, como tal, decidir sobre las diferentes tecnologías que emplear de acuerdo a sus distintas necesidades. Este Trabajo de Fin de Grado detalla el proceso para obtener una alternativa económica a los sistemas de detección de intrusos. El sistema se implementará en una Raspberry Pi, una de las microcomputadoras más utilizadas en el mundo; y utilizará un Arduino UNO conectado a un PIR para capturar la detección de movimiento. Con la ayuda de la API de Telegram, se implementará un Telegram bot que proporcionará al usuario una interfaz amigable y fácil de usar. Esta aplicación proporcionará al usuario final funcionalidades casi idénticas a los sistemas que ya existen en el mercado.Ingeniería Informátic

Brain MRI super-resolution using generative adversarial networks

In this work we propose an adversarial learning approach to generate high resolution MRI scans from low resolution images. The architecture, based on the SRGAN model, adopts 3D convolutions to exploit volumetric information. For the discriminator, the adversarial loss uses least squares in order to stabilize the training. For the generator, the loss function is a combination of a least squares adversarial loss and a content term based on mean square error and image gradients in order to improve the quality of the generated images. We explore different solutions for the up sampling phase. We present promising results that improve classical interpolation, showing the potential of the approach for 3D medical imaging super-resolution.Postprint (published version

Veus SilenciaDES

Treball Final de Grau en Periodisme. Codi: PE0932. Curs acadèmic 2014-201

Data on interleukin (IL)-2- and IL-15-dependent changes in IL-2Rβ and IL-2Rγ complexes

We provide detailed datasets from our analysis of the proteins that associate with IL-2Rbeta and IL-2Rgamma in T-cells stimulated with IL-2 or IL-15 compared with resting T-cells, as identified by SILAC-based quantitative proteomics. We also include quantitative data regarding site-specific phosphorylation events observed both in IL-2Rbeta and IL-2Rgamma. Moreover, we provide results demonstrating the specific protein recruitment capacity of four of those site-specific phosphorylations. The proteomics and phosphoproteomics data described in this article is associated with a research article entitled "Characterization of receptor-associated protein complex assembly in Interleukin (IL)-2- and IL-15-activated T-lymphocytes" (Osinalde et al., 2016 [1]). The mass spectrometry data have been deposited to the ProteomeEXchange Constorium with the identifier PXD002386

Influence of underwater light climate on periphyton and phytoplankton communities in shallow lakes from the Pampa plain (Argentina) with contrasting steady states

Shallow lakes from the Pampa plain (Argentina) are subjected to the impact of different human activities, and as a consequence, most of them are in a turbid state. Three types of shallow lakes have been described in this region: clear-vegetated, phytoplanktonturbid and inorganic-turbid. We analysed the periphyton and phytoplankton structure in five selected shallow lakes with contrasting optical characteristics. In the case of periphyton, we studied the variation in depth. Pigment compositions of both algal communities were analysed by means of high-performance liquid chromatography. Additionally, we studied the taxonomic algal composition of both communities and the mass variables of periphyton. We observed a general decreasing pattern in the mean values of periphytic abundance with depth, and stratification in periphyton was generally consistent with the vertical profiles of pigments. Relationships between cell counts and pigments also suggested changes in the intracellular pigment concentration due to photoacclimation. In clear lakes, surface periphytic communities were co-dominated by chlorophytes and diatoms. In turbid lakes the surface assemblages were mainly represented by diatoms and the relative contribution of cyanobacteria increased with depth. The interaction between light and nutrients in different turbid scenarios may explain the patterns observed in the development of the periphytic community. We observed lower periphyton accrual in lakes that presented boundary values in the restrictions of either nutrients or light availability. In phytoplanktonturbid lakes, periphyton exhibited a considerable growth due to the rich nutrient conditions, but the community was dominated by the heterotrophic fraction and we also found algal groups well adapted to light limitation.Fil: Sánchez, María Laura. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Limnología; Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina;Fil: Perez, Gonzalo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Instituto de Investigaciones Biotecnológicas - Instituto Tecnológico Chascomús. Instituto de Investigaciones Biotecnológicas (sede Chascomús); Argentina;Fil: Izaguirre, Irina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina; Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Limnología; Argentina;Fil: Pizarro, Haydee Norma. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina; Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Laboratorio de Limnología; Argentina

Sensitization profiles to purified plant food allergens among pediatric patients with allergy to banana.

Banana fruit allergy is well known, but neither immunoglobulin E recognition patterns to purified plant food allergens nor true prevalences of putative banana allergens have been established. This study aimed to characterize β-1,3-glucanase and thaumatin-like protein (TLP) as banana allergens, testing them, together with other plant food allergens, in 51 children with allergic reactions after banana ingestion and both positive specific IgE and skin prick test (SPT) to banana. Banana β-1,3-glucanase and TLP were isolated and characterized. Both banana allergens, together with kiwifruit TLP Act d 2, avocado class I chitinase Pers a 1, palm pollen profilin Pho d 2 and peach fruit lipid transfer protein (LTP) Pru p 3, were tested by in vitro and in vivo assays. Banana β-1,3-glucanase (Mus a 5) was glycosylated, whereas banana TLP (Mus a 4) was not, in contrast with its homologous kiwi allergen Act d 2. Specific IgE to both banana allergens, as well as to peach Pru p 3, was found in over 70% of sera from banana-allergic children, and Mus a 4 and Pru p 3 provoked positive SPT responses in 6 of the 12 tested patients, whereas Mus a 5 in only one of them. Both peptidic epitopes and cross-reactive carbohydrate determinants were involved in the IgE-binding to Mus a 5, whereas cross-reactivity between Mus a 4 and Act d 2 was only based on common IgE protein epitopes. Profilin Pho d 2 elicited a relevant proportion of positive responses on in vitro (41%) and in vivo (58%) tests. Therefore, Mus a 4 and LTP behave as major banana allergens in the study population, and profilin seems to be also a relevant allergen. Mus a 5 is an equivocal allergenic protein, showing high IgE-binding to its attached complex glycan, and low in vivo potency

Triboelectric nanogenerator as self-powered impact sensor

In recent years, triboelectric nanogenerators (TENGs) are used to harvest mechanical energy from ambient environment. These devices convert ambient energies (e.g. vibrations, breathing-driven, impacts or human body motions) into electricity based on the triboelectric effect. Furthermore, some TENGs can be successfully employed as self-power active sensors because the electric response from the TENG is proportional to the magnitude of the mechanical motion. This study report on the design and development of a novel triboelectric nanogenerator, and its potential application as self-powered impact sensor. To prepare the TENG device, membranes of polyvinylidene fluoride (PVDF) and polyvinylpyrrolidone (PVP) nanofibers are sandwiched between copper electrode films and wrapped on PET films. The TENG works based on the triboelectric interaction between the membranes of nanofibers. After the preparation, the TENGs are subjected to several impacts by the drop-ball impact test. The purpose of the experiment is to analyse if the electric response of TENG is dependent on the energy of the impact. The results of the experiment are presented and discussed. The main contributions of this work are the preparation of a novel nanogenerator (TENG) based on the triboelectric interaction between polyvinylidene fluoride and polyvinylpyrrolidone sub-micron polymer fibers and the investigation of its potential use as a self-powered impact sensor