Browsing by Issue Date, starting with "2016-09-08"
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- Hierarchical classification and system combination for automatically identifying physiological and neuromuscular laryngeal pathologiesPublication . Cordeiro, Hugo; Fonseca, José; Guimarães, Isabel; Meneses, CarlosObjectives. Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which the use of a noninvasive method for pathologic voice identification is an important step forward for preliminary diagnosis. In this study, a hierarchical classifier and a combination of systems are used to improve the accuracy of a three-class identification system (healthy, physiological larynx pathologies, and neuromuscular larynx pathologies). Method. Three main subject classes were considered: subjects with physiological larynx pathologies (vocal fold nodules and edemas: 59 samples), subjects with neuromuscular larynx pathologies (unilateral vocal fold paralysis: 59 samples), and healthy subjects (36 samples). The variables used in this study were a speech task (sustained vowel /a/ or continuous reading speech), features with or without perceptual information, and features with or without direct information about formants evaluated using single classifiers.Ahierarchical classification system was designed based on this information. Results. The resulting system combines an analysis of continuous speech by way of the commonly used sustained vowel /a/ to obtain spectral and perceptual speech features. It achieved an accuracy of 84.4%, which represents an improvement of approximately 9% compared with the stand-alone approach. For pathologic voice identification, the accuracy obtained was 98.7%, and the identification accuracy for the two pathology classes was 81.3%. Conclusions. Hierarchical classification and system combination create significant benefits and introduce a modular approach to the classification of larynx pathologies.
- Indústria da modaPublication . Carvalho, Inês Piçarra de; Carneiro, AlbertoCada vez mais na indústria mundial da moda, as inovações de marca, produtos, serviços, tecnologia, processos e modelos de negócio são encaradas como uma fonte de vantagem competitiva (Barney, 1991) para as empresas que a constituem, uma vez que a constante transformação da moda resulta de facto numa cadeia de valor (Porter, 1995) economicamente muito importante à escala mundial. O objectivo geral desta dissertação é realizar uma análise comparativa sobre os principais factores inovadores que influenciaram a indústria mundial da moda nos últimos 25 anos. Para o efeito foi desenvolvido uma análise comparativa de benchmarking sobre as praticas desenvolvidas em torno da inovação para a indústria mundial da moda através do estudo de casos, nomeadamente sobre a Zara e a H&M.
- Measurement of the differential cross sections for top quark pair production as a function of kinematic event variables in pp collisions at $\sqrt s$=7 and 8 TeVPublication . CMS collaboration (2311 authors); Hollar, Jonathan; Calpas, Betty; Nayak, Aruna; Bargassa, Pedrame; Beirão Da Cruz E Silva, Cristóvão; Di Francesco, Agostino; Faccioli, Pietro; Ferreira Parracho, Pedro Guilherme; Gallinaro, Michele; Leonardo, Nuno; Lloret Iglesias, Lara; Nguyen, Federico; Rodrigues Antunes, Joao; Seixas, Joao; Toldaiev, Oleksii; Vadruccio, Daniele; Varela, Joao; Vischia, Pietro; David Tinoco Mendes, Andre; Silva, Pedro; Musella, Pasquale; Pela, JoaoMeasurements are reported of the normalized differential cross sections for top quark pair production with respect to four kinematic event variables: the missing transverse energy; the scalar sum of the jet transverse momentum (pT); the scalar sum of the pT of all objects in the event; and the pT of leptonically decaying W bosons from top quark decays. The data sample, collected using the CMS detector at the LHC, consists of 5.0 fb−1 of proton-proton collisions at s=7 TeV and 19.7 fb−1 at s=8 TeV. Top quark pair events containing one electron or muon are selected. The results are presented after correcting for detector effects to allow direct comparison with theoretical predictions. No significant deviations from the predictions of several standard model event simulation generators are observed.