Projeto mecânico de equipamento para fabrico automatizado de vestuário

O fabrico de vestuário é uma atividade que se desenvolve em Portugal há várias décadas. Existem marcas de vestuário com reconhecimento a nível mundial que são de origem portuguesa. Para se conseguir qualidade é necessário inovar e automatizar determinados processos, de forma a aumentar produtividades e reduzir erros devido à mão de obra de tarefas intensivas. Na empresa Portuguesa Henrique Camões, com uma vasta experiência ligada a equipamentos de fabrico têxtil, nasceu a ideia de projetar um protótipo de um equipamento automatizado para o fabrico de colarinhos e punhos, com a finalidade de verificar a sua viabilidade a nível funcional. Este trabalho teve assim por base a necessidade de efetuar um projeto sobre um equipamento capaz de costurar e cortar colarinhos e punhos, a serem aplicados em peças de vestuário. Inicialmente foi efetuado um estudo prévio de levantamento de equipamentos já existentes para fins semelhantes. Foi então necessário idealizar um equipamento capaz de responder às expectativas e exigências por parte do cliente. Após os esboços iniciais, onde foram definidos os tipos de mecanismos e formas de funcionamento dos diferentes sistemas em função dos movimentos e ações pretendidas e a estrutura do equipamento, estes sistemas foram otimizados por forma a se obter como resultado final um equipamento funcional. Foi também projetado o esquema pneumático e Grafcet de funcionamento do equipamento. Como auxiliares do projeto, apresentam-se a lista de componentes e de processos de fabrico, bem como os desenhos de pormenor de todos os componentes integrantes da estrutura. O resultado final é um conjunto de ideias e soluções possíveis de aplicar num equipamento deste tipo. De facto, a solução proposta é uma possibilidade viável para um equipamento automatizado para costura e corte de colarinhos e punhos.Clothing manufacturing is an activity that takes place in Portugal for several decades. Several clothing brands with worldwide recognition are of Portuguese origin. To achieve quality, it is necessary to innovate and automate certain processes, in order to increase productivity and reduce errors due to labor intensive tasks. In the Portuguese company Henrique Camões, which has extensive experience in the design of textile manufacturing equipment, an idea was born to design a prototype of an automated equipment for the manufacture of collars and cuffs, in order to verify its functional viability. This study was thus based on the need to design a machine able to sew and cut collars and cuffs, to be applied on clothing. Initially, a previous survey study for similar purpose existing equipment was performed. Then, it was necessary to devise an equipment able to meet the expectations and requirements of the client. After the initial sketches, in which the types of mechanisms and the desired functions of the different systems were defined as a function of the intended movements and actions and the equipment structure, these systems have been optimized to obtain a functional unit as the final result. The pneumatic scheme and Grafcet of operation of the equipment were also designed. As auxiliary of the project, the list of components and manufacturing processes, as well as detailed plans of all integral components of the structure, were presented. The end result is a set of possible ideas and solutions to apply in equipments of this type. In fact, the proposed solution is a viable possibility for an automated equipment for sewing and cutting collars and cuffs

Object classification in semi structured enviroment using forward-looking sonar

La exploración submarina utilizando robots ha ido en aumento en los últimos años. La automatización de tareas tales como monitoreo, inspección y mantenimiento bajo el agua requiere la comprensión del entorno del robot. El reconocimiento de objetos en la escena se está convirtiendo en un problema crítico para estos sistemas. En este trabajo, se estudia una tubería de clasificación de objetos bajo el agua aplicada en imágenes acústicas adquiridas por Forward-Looking Sonar (FLS). La segmentación de objetos combina el umbral, la búsqueda de píxeles conectados y las técnicas de análisis de picos de intensidad. El descriptor del objeto extrae la intensidad y las características geométricas de los objetos detectados. Se presenta una comparación entre los clasificadores Máquina de vectores de soporte, Vecinos más cercanos a K y Árboles aleatorios. Se desarrolló una herramienta de código abierto para anotar y clasificar los objetos y evaluar su rendimiento de clasificación. El método propuesto segmenta y clasifica eficientemente las estructuras en la escena utilizando un conjunto de datos real adquirido por un vehículo submarino en un área de puerto. Los resultados experimentales demuestran la solidez y precisión del método descrito en este documento.The submarine exploration using robots has been increasing in recent years. The automation of tasks such as monitoring, inspection, and underwater maintenance requires the understanding of the robot’s environment. The object recognition in the scene is becoming a critical issue for these systems. On this work, an underwater object classification pipeline applied in acoustic images acquired by Forward-Looking Sonar (FLS) are studied. The object segmentation combines thresholding, connected pixels searching and peak of intensity analyzing techniques. The object descriptor extract intensity and geometric features of the detected objects. A comparison between the Support Vector Machine, K-Nearest Neighbors, and Random Trees classifiers are presented. An open-source tool was developed to annotate and classify the objects and evaluate their classification performance. The proposed method efficiently segments and classifies the structures in the scene using a real dataset acquired by an underwater vehicle in a harbor area. Experimental results demonstrate the robustness and accuracy of the method described in this paper.• National Institute of Science and Technology - Integrated Oceanography and Multiple Uses of the Continental Shelf and Adjacent Ocean - Integrated Oceanography Center INCT-Mar COI funded by CNPq. Beca 610012/2011-8 • BS-NAVLOC (CAPES no 321/15, DGPU 7523 / 14-9, proyecto MEC PHBP14 / 00083)peerReviewe

Assessing atypical brain functional connectivity development : an approach based on generative adversarial networks

Generative Adversarial Networks (GANs) are promising analytical tools in machine learning applications. Characterizing atypical neurodevelopmental processes might be useful in establishing diagnostic and prognostic biomarkers of psychiatric disorders. In this article, we investigate the potential of GANs models combined with functional connectivity (FC) measures to build a predictive neurotypicality score 3-years after scanning. We used a ROI-to-ROI analysis of resting-state functional magnetic resonance imaging (fMRI) data from a community-based cohort of children and adolescents (377 neurotypical and 126 atypical participants). Models were trained on data from neurotypical participants, capturing their sample variability of FC. The discriminator subnetwork of each GAN model discriminated between the learned neurotypical functional connectivity pattern and atypical or unrelated patterns. Discriminator models were combined in ensembles, improving discrimination performance. Explanations for the model’s predictions are provided using the LIME (Local Interpretable Model-Agnostic) algorithm and local hubs are identified in light of these explanations. Our findings suggest this approach is a promising strategy to build potential biomarkers based on functional connectivity

Search for the standard model Higgs boson produced in association with top quarks and decaying into a bbˉb\bar{b} pair in pppp collisions at s\sqrt{s} = 13 TeV with the ATLAS detector

A search for the standard model Higgs boson produced in association with a top-quark pair, tt¯H, is presented. The analysis uses 36.1  fb-1 of pp collision data at s=13  TeV collected with the ATLAS detector at the Large Hadron Collider in 2015 and 2016. The search targets the H→bb¯ decay mode. The selected events contain either one or two electrons or muons from the top-quark decays, and are then categorized according to the number of jets and how likely these are to contain b-hadrons. Multivariate techniques are used to discriminate between signal and background events, the latter being dominated by tt¯+jets production. For a Higgs boson mass of 125 GeV, the ratio of the measured tt¯H signal cross-section to the standard model expectation is found to be μ=0.84-0.61+0.64. A value of μ greater than 2.0 is excluded at 95% confidence level (C.L.) while the expected upper limit is μ<1.2 in the absence of a tt¯H signal.Peer Reviewe

Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2

With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13  $\text {TeV}$ for Run 2, events with dense environments, such as in the cores of high-energy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. Basic track quantities are compared between 3.2 fb$^{-1}$ of data collected by the ATLAS experiment and simulation of proton–proton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13  $\text {TeV}$ . The impact of charged-particle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 $\text {GeV}$ is quantified using a novel, data-driven, method. The method uses the energy loss, ${\text { d}}{} \textit{E}/d\textit{x}$ , to identify pixel clusters originating from two charged particles. Of the charged particles creating these clusters, the measured fraction that fail to be reconstructed is $0.061 \pm 0.006\ {\text {(stat.)}} \pm 0.014\ {\text {(syst.)}}$ and $0.093 \pm 0.017\ {\text {(stat.)}}\pm 0.021\ {\text {(syst.)}}$ for jet transverse momenta of 200–400  $\text {GeV}$ and 1400–1600  $\text {GeV}$ , respectively.Peer Reviewe

Measurements of ttˉt\bar{t} differential cross-sections of highly boosted top quarks decaying to all-hadronic final states in pppp collisions at s=13 \sqrt{s}=13\, TeV using the ATLAS detector

Measurements are made of differential cross-sections of highly boosted pair-produced top quarks as a function of top-quark and tt¯ system kinematic observables using proton-proton collisions at a center-of-mass energy of s=13  TeV. The data set corresponds to an integrated luminosity of 36.1  fb-1, recorded in 2015 and 2016 with the ATLAS detector at the CERN Large Hadron Collider. Events with two large-radius jets in the final state, one with transverse momentum pT>500  GeV and a second with pT>350  GeV, are used for the measurement. The top-quark candidates are separated from the multijet background using jet substructure information and association with a b-tagged jet. The measured spectra are corrected for detector effects to a particle-level fiducial phase space and a parton-level limited phase space, and are compared to several Monte Carlo simulations by means of calculated χ2 values. The cross-section for tt¯ production in the fiducial phase-space region is 292±7(stat)±71(syst)  fb, to be compared to the theoretical prediction of 384±36  fb.Peer Reviewe

Measurement of charged-particle distributions sensitive to the underlying event in s=13 \sqrt{s}=13 TeV proton-proton collisions with the ATLAS detector at the LHC

We present charged-particle distributions sensitive to the underlying event, measured by the ATLAS detector in proton-proton collisions at a centre-of-mass energy of 13 TeV, in low-luminosity Large Hadron Collider fills corresponding to an integrated luminosity of 1.6 nb$^{−1}$. The distributions were constructed using charged particles with absolute pseudorapidity less than 2.5 and with transverse momentum greater than 500 MeV, in events with at least one such charged particle with transverse momentum above 1 GeV. These distributions characterise the angular distribution of energy and particle flows with respect to the charged particle with highest transverse momentum, as a function of both that momentum and of charged-particle multiplicity. The results have been corrected for detector effects and are compared to the predictions of various Monte Carlo event generators, experimentally establishing the level of underlying-event activity at LHC Run 2 energies and providing inputs for the development of event generator modelling. The current models in use for UE modelling typically describe this data to 5% accuracy, compared with data uncertainties of less than 1%.Peer Reviewe

Measurement of the cross section for isolated-photon plus jet production in pppp collisions at s=13\sqrt s=13 TeV using the ATLAS detector

The dynamics of isolated-photon production in association with a jet in proton–proton collisions at a centre-of-mass energy of 13 TeV are studied with the ATLAS detector at the LHC using a dataset with an integrated luminosity of 3.2 fb −1 . Photons are required to have transverse energies above 125 GeV. Jets are identified using the anti- kt algorithm with radius parameter R=0.4 and required to have transverse momenta above 100 GeV. Measurements of isolated-photon plus jet cross sections are presented as functions of the leading-photon transverse energy, the leading-jet transverse momentum, the azimuthal angular separation between the photon and the jet, the photon–jet invariant mass and the scattering angle in the photon–jet centre-of-mass system. Tree-level plus parton-shower predictions from Sherpa and Pythia as well as next-to-leading-order QCD predictions from Jetphox and Sherpa are compared to the measurements.Peer Reviewe

Measurement of the inclusive jet cross-sections in proton-proton collisions at s=8 \sqrt{s}=8 TeV with the ATLAS detector

Inclusive jet production cross-sections are measured in proton-proton collisions at a centre-of-mass energy of $\sqrt{s}=8$ TeV recorded by the ATLAS experiment at the Large Hadron Collider at CERN. The total integrated luminosity of the analysed data set amounts to 20.2 fb$^{−1}$. Double-differential cross-sections are measured for jets defined by the anti-k$_{t}$ jet clustering algorithm with radius parameters of R = 0.4 and R = 0.6 and are presented as a function of the jet transverse momentum, in the range between 70 GeV and 2.5 TeV and in six bins of the absolute jet rapidity, between 0 and 3.0. The measured cross-sections are compared to predictions of quantum chromodynamics, calculated at next-to-leading order in perturbation theory, and corrected for non-perturbative and electroweak effects. The level of agreement with predictions, using a selection of different parton distribution functions for the proton, is quantified. Tensions between the data and the theory predictions are observed.Peer Reviewe

Measurements of top-quark pair differential cross-sections in the eμe\mu channel in pppp collisions at s=13\sqrt{s} = 13 TeV using the ATLAS detector

This article presents measurements of $t\bar{t}$ differential cross-sections in a fiducial phase-space region, using an integrated luminosity of 3.2 fb$^{-1}$ of proton–proton data at a centre-of-mass energy of $\sqrt{s} = 13$  TeV recorded by the ATLAS experiment at the LHC in 2015. Differential cross-sections are measured as a function of the transverse momentum and absolute rapidity of the top quark, and of the transverse momentum, absolute rapidity and invariant mass of the $t\bar{t}$ system. The $t\bar{t}$ events are selected by requiring one electron and one muon of opposite electric charge, and at least two jets, one of which must be tagged as containing a b-hadron. The measured differential cross-sections are compared to predictions of next-to-leading order generators matched to parton showers and the measurements are found to be consistent with all models within the experimental uncertainties with the exception of the Powheg-Box $+$ Herwig++ predictions, which differ significantly from the data in both the transverse momentum of the top quark and the mass of the $t\bar{t}$ system.Peer Reviewe