Reconocimiento facial en un sistema IoT

En este proyecto se desarrolla un sistema de reconocimiento facial con aprendizaje profundo en una NVIDIA Jetson Nano, la cual obtiene imágenes a través de una cámara y las procesa en tiempo real, para enviar una salida al identificar a un individuo. El programa ubica un rostro en el plano con una red basada en Single-Shot Detector (SSD) y utiliza FaceNet para transformarlo en un vector de características y determinar su similitud con las caras almacenadas. El sistema proporciona robustez frente a cambios en el aspecto de las personas y distorsiones en las imágenes, y una precisión igual o superior a 0.95 en los experimentos realizados con una base de datos creada durante el transcurso del proyecto. El funcionamiento está basado en One-Shot Learning, técnica que permite reconocer a cada persona con una única imagen. Los procedimientos utilizados se seleccionan mediante la previa investigación, desarrollo y comparación de distintos métodos. El trabajo se complementa con un sistema de reconocimiento por voz, basado en una red neuronal que predice una identidad a través de las características de un audio en tiempo real. Se emplea la iluminación de LEDs para el envío de salidas cuando se produce un reconocimiento.This project develops a deep-learning face recognition system on an NVIDIA Jetson Nano, which acquires images from a camera and processes them in real time to send an output when an individual is identified. The software locates a face in the plane with a Single-Shot Detector (SSD)-based network and uses FaceNet to transform it into a feature vector and determine its similarity to stored faces. The system provides robustness against changes in people's appearance and distortions in the images, and an accuracy equal to or better than 0.95 in the experiments carried out with a dataset created during the course of the project. The operation is based on One-Shot Learning, a technique that allows each person to be recognised with a single image. The procedures used are selected through prior research, development and comparison of different methods. The work is complemented by a speaker recognition system, based on a neural network that predicts an identity through the characteristics of audio in real time. LED illumination is used to send outputs when recognition occurs.En aquest projecte es desenvolupa un sistema de reconeixement facial amb aprenentatge profund en una NVIDIA Jetson Nano, que obté imatges a través d'una càmera i les processa en temps real, per enviar una sortida en identificar un individu. El programa ubica una cara al pla amb una xarxa basada en Single-Shot Detector (SSD) i utilitza FaceNet per transformar-lo en un vector de característiques i determinar-ne la similitud amb les cares emmagatzemades. El sistema proporciona robustesa davant de canvis en l'aspecte de les persones i distorsions a les imatges, i una precisió igual o superior a 0, 95 en els experiments realitzats amb una base de dades creada durant el transcurs del projecte. El funcionament està basat en One-Shot Learning, tècnica que permet reconèixer cada persona amb una única imatge. Els procediments utilitzats se seleccionen mitjançant la prèvia investigació, desenvolupament i comparació de diferents mètodes. El treball es complementa amb un sistema de reconeixement per veu basat en una xarxa neuronal que prediu una identitat a través de les característiques d'un àudio en temps real. Es fa servir la il·luminació de LEDs per a l'enviament de sortides quan es produeix un reconeixement

Diets containing sea cucumber (Isostichopus badionotus) meals are hypocholesterolemic in young rats

Peer reviewedPublisher PD

Search for flavour-changing neutral tqH interactions with H -> gamma gamma in pp collisions at root s=13 TeV using the ATLAS detector

A search for flavour-changing neutral interactions involving the top quark, the Higgs boson and an up-type quark q ( q = c, u) is presented. The proton-proton collision data set used, with an integrated luminosity of 139 fb(-1), was collected at root s = 13TeV by the ATLAS experiment at the Large Hadron Collider. Both the decay process t -> qH in tt production and the production process pp. tH, with the Higgs boson decaying into two photons, are investigated. No significant excess is observed and upper limits are set on the t. cH and the t. uH branching ratios of 4.3x10(-4) and 3.8x10(-4), respectively, at the 95% confidence level, while the expected limits in the absence of signal are 4.7x10(-4) and 3.9x10(-4). Combining this search with ATLAS searches in the H. t+ t- and H. b b final states yields observed (expected) upper limits on the t -> cH branching ratio of 5.8 x 10(-4) (3.0 x 10(-4)) at the 95% confidence level. The corresponding observed (expected) upper limit on the t -> uH branching ratio is 4.0 x 10(-4) (2.4 x 10(-4))

Combined Measurement of the Higgs Boson Mass from the Formula Presented and Formula Presented Decay Channels with the ATLAS Detector Using Formula Presented, 8, and 13 TeV Formula Presented Collision Data

A measurement of the mass of the Higgs boson combining the Formula Presented and Formula Presented decay channels is presented. The result is based on Formula Presented of proton-proton collision data collected by the ATLAS detector during LHC run 2 at a center-of-mass energy of 13 TeV combined with the run 1 ATLAS mass measurement, performed at center-of-mass energies of 7 and 8 TeV, yielding a Higgs boson mass of Formula Presented. This corresponds to a 0.09% precision achieved on this fundamental parameter of the Standard Model of particle physics

Observation of an Excess of Dicharmonium Events in the Four-Muon Final State with the ATLAS Detector

A search is made for potential ccc[over ¯]c[over ¯] tetraquarks decaying into a pair of charmonium states in the four muon final state using proton-proton collision data at sqrt[s]=13  TeV, corresponding to an integrated luminosity of 140  fb^{-1} recorded by the ATLAS experiment at LHC. Two decay channels, J/ψ+J/ψ→4μ and J/ψ+ψ(2S)→4μ, are studied. Backgrounds are estimated based on a hybrid approach involving Monte Carlo simulations and data-driven methods. Statistically significant excesses with respect to backgrounds dominated by the single parton scattering are seen in the di-J/ψ channel consistent with a narrow resonance at 6.9 GeV and a broader structure at lower mass. A statistically significant excess is also seen in the J/ψ+ψ(2S) channel. The fitted masses and decay widths of the structures are reported