695 research outputs found

    Folk music style modelling by recurrent neural networks with long short term memory units

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    We demonstrate two generative models created by training a recurrent neural network (RNN) with three hidden layers of long short-term memory (LSTM) units. This extends past work in numerous directions, including training deeper models with nearly 24,000 high-level transcriptions of folk tunes. We discuss our on-going work

    ABNT NBR 15965:2011 - estudo prático da classificação aplicada a modelagem 4d e 5d

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    Trabalho de Conclusão de Curso (Graduação)A Indústria da Arquitetura, Engenharia e Construção (AEC) tem um peso expressivo no Produto Interno Bruto (PIB) do Brasil, e por isso, garantir o desenvolvimento desta indústria é assegurar economia crescente e perene. A metodologia BIM (Build Information Modelling) quando aplicada de forma efetiva na Industria da AEC, é uma grande aliada no desenvolvimento do setor, contudo para que esta metodologia seja eficaz, políticas de implantação e modelagem da informação devem ser produzidas. Neste contexto, este trabalho buscou, a partir de análise das partes publicadas da normativa brasileira ABNT NBR 15965:2011 e a conjectura das partes faltantes, organizar um sistema de classificação da modelagem da construção que permeie as dimensões 3D (modelagem), 4D (planejamento) e 5D (orçamentação) do BIM. Iniciou-se a partir da elaboração do sistema de codificação que classificou os objetos e elementos das disciplinas arquitetônica, estrutural e hidrossanitário de uma residência unifamiliar com dois pavimentos, modelados no software Revit® e posterior utilização do modelo para simulação 4D e orçamento 5D. Foi possível, a partir da classificação da informação nos modelos com códigos padronizados, gerar a simulação do planejamento (4D) de forma automática no Navisworks®. Com o auxílio do Dynamo© foi possível elaborar o orçamento (5D) de forma dinâmica e automática. Ao final desse estudo conclui-se que a codificação proporciona modelos mais inteligentes e que a multidisciplinaridade na elaboração de projetos em BIM é essencial

    “Por que educação ambiental?” : reflexões críticas de um jovem pedagogo sobre as práticas de educação ambiental no serviço de limpeza urbana (DF)

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    Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Faculdade de Educação, 2018.Desde o regimento interno de 2006, registra-se que o Serviço de Limpeza Urbana (SLU) do Distrito Federal mantem uma relação com práticas educativas. Em 2014, o órgão, cujo perfil histórico é técnico, estreitou essa relação e passou a se aproximar ainda mais de questões pedagógicas, realizando diversos projetos envolvendo processos de conscientização em escolas e na comunidade. Adotou-se aqui, como território de pesquisa, a minha experiência de estágio não obrigatório no órgão. Este trabalho teve como objetivos analisar as motivações para a aproximação do órgão com a educação e das suas práticas pedagógicas. Foi levantando que a aproximação do órgão com a educação se deu com a relação de longa data que ele possui com propostas educativas, as demandas sociais e da legislação quanto as práticas de educação ambiental. Ao discutir sobre o contexto e as condições das práticas pedagógicas, foi levantado como principal limitação a visão dualista de natureza e ser humano concebido pela gestão, que se concretizava na insistência de se utilizar métodos comportamentalistas. Concluiu-se como principal desafio do órgão a superação de uma visão hierarquizada e fragmentada dos conhecimentos e da abordagem dualista que separa o ser humano da natureza.Since the intern regulation from 2006, the Urban Cleansing Service have been keeping a relation with education practices. However, in 2014, this agency with your historic based on technical issues approached this relation with education and started working with the educational branch, executing several projects involving environmental awareness in schools and communities. It has been adopted as research territory my experience as non-mandatory pedagogy internship. This work had as objectives analyzing the establishment motivations to approach with aducation and your practices. It has pointed that this approach with education it is because its long-time relationship with educational proposals, the social demanding and the legislation itself. After arguing about the fragility of these activities, it was pointed as main cause the limiting dualist conception of nature and human being adopted by the agency’s team, which based their educational practices in behaviorists methods. Was shown as main establishment’s challenge overcoming the hierarchy and fragmentary vision of the sciences and the dualist vision which divides the human being from the nature

    Deep Complex Networks

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    At present, the vast majority of building blocks, techniques, and architectures for deep learning are based on real-valued operations and representations. However, recent work on recurrent neural networks and older fundamental theoretical analysis suggests that complex numbers could have a richer representational capacity and could also facilitate noise-robust memory retrieval mechanisms. Despite their attractive properties and potential for opening up entirely new neural architectures, complex-valued deep neural networks have been marginalized due to the absence of the building blocks required to design such models. In this work, we provide the key atomic components for complex-valued deep neural networks and apply them to convolutional feed-forward networks and convolutional LSTMs. More precisely, we rely on complex convolutions and present algorithms for complex batch-normalization, complex weight initialization strategies for complex-valued neural nets and we use them in experiments with end-to-end training schemes. We demonstrate that such complex-valued models are competitive with their real-valued counterparts. We test deep complex models on several computer vision tasks, on music transcription using the MusicNet dataset and on Speech Spectrum Prediction using the TIMIT dataset. We achieve state-of-the-art performance on these audio-related tasks

    Impact of SM parameters and of the vacua of the Higgs potential in gravitational waves detection

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    In this work we discuss two different phases of a complex singlet extension of the Standard Model (SM) together with an extension that also includes new fermion fields, in particular, a Majoron model equipped with an inverse seesaw mechanism. All considered scenarios contain a global U(1)\mathrm{U}(1) symmetry and allow for first-order phase transitions while only two of them are strong enough to favour the detection of primordial gravitational waves (GWs) in planned experiments such as LISA. In particular, this is shown to be possible in the singlet extension with a non vanishing real VEV at zero temperature and also in the model with extra fermions. In the singlet extension with no additional fermions, the detection of GWs strongly depends on the U(1)\mathrm{U}(1) symmetry breaking pattern of the scalar potential at zero temperature. We study for the first time the impact of the precision in the determination of the SM parameters on the strength of the GWs spectrum. It turns out that the variation of the SM parameters such as the Higgs boson mass and top quark Yukawa coupling in their allowed experimental ranges has a notable impact on GWs detectability prospects.Comment: 28 pages, 13 figure

    Fatal hemoperitoneum due to segmental arterial mediolysis

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    Spontaneous hemoperitoneum due to vascular injury is a life-threatening condition mostly associated with aortic or splanchnic arterial disease, which stems from atherosclerotic, inflammatory, or infectious origin. However, in 1976, Slavin and Gonzales described a nonatherosclerotic arterial disease that may render aneurysmal formation predominantly in the splanchnic arterial bed. The clinical presentation is diverse, but abdominal pain and shock prevail. We report the case of a middle-aged man who presented a hemoperitoneum due to a middle colic artery aneurysm rupture and died after undergoing a surgical treatment attempt. The preoperative imaging study revealed the presence of a huge hematoma in the epiplon retrocavity, and abdominal free liquid as well as extensive arterial disease with multiple aneurysms. The autopsy findings included hemoperitoneum, hematoma in the upper left abdominal quadrant, the surgical ligature of the middle colic artery, and histologic features consistent with segmental arterial mediolysis. The authors call attention to this rare entity and highlight the autopsy as a fundamental examination to accurately reach this diagnosi

    Method for evaluation of coarse cork oak root system by means of digital imaging

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    Digital imaging is becoming a powerful tool for data storage and information retrieval. Image comparison and similarity evaluation has become part of the information market and it is today a common part of, for example, web search engines. The cork oak tree (Quercus suber L.), the dominant species of the ‘montado’ woodland system is, due to its cultural and socio-economic value, protected by law that prevents extensive destructive studies on an essential part of the tree—the root. Especially in the Mediterranean zone, where the water is the limiting growth factor, the root development studies are of significant interest. In this work we present a method of using digital images for cork oak coarse root systems-evaluation by means of digital imaging. Acquired images of structural roots are processed automatically to prevent subjective decisions by the human observer. The performance of the method, its potential for semantic retrieval and similarity assess- ment is demonstrated, having as example eight young cork oak root systems, and critical issues for evalu- ation and conclusion-making, are discussed

    Parameters for vocal acoustic analysis - cured database

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    This paper describes the construction and organization of a database of speech parameters extracted from a speech database. This article intends to inform the community about the existence of this database for future research. The database includes parameters extracted from sounds produced by patients distributed among 19 diseases and control subjects. The set of parameters of this database consists of the jitter, shimmer, Harmonic to Noise Ratio (HNR), Noise to Harmonic Ratio (NHR), autocorrelation and Mel Frequency Cepstral Coefficients (MFCC) extracted from the sound of sustained vowels /a/, /i/ and /u/ at the high, low and normal tones, and a short German sentence. The cured database has a total number of 707 pathological subjects (distributed by the various diseases) and 194 control subjects, in a total of 901 subjects.info:eu-repo/semantics/publishedVersio

    Hepatoid adenocarcinoma of the lung

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    Lung adenocarcinomas with a mixture of tubular or papillary pattern, sheet-like or trabecular architecture, eosinophilic cytoplasm with centrally located nuclei and alpha-fetoprotein-producing cells have been described as hepatoid adenocarcinomas. Hepatoid adenocarcinomas are mainly found in the stomach but rare cases in other organs have been described. Immunostaining for alpha-fetoprotein (AFP), hepatocyte paraffin 1 (HepPar-1) and thyroid transcription factor-1 (TTF-1) helps in the diagnostic workup. Tumor behavior is still not entirely known but it seems to be associated with early metastases. We report on a 66-year-old, heavy-smoker male patient who had a 10-month history of respiratory complaints and weight loss. At the time he was hospitalized, respiratory failure was already established. The computed tomography corresponded to a collapsed right lung due to a poorly defined expanding mass. The bronchoscopy revealed narrowing of the inferior and medium lobar bronchi. The patient developed irreversible shock and died. At the right lung inferior lobe was extensively replaced by a grayish diffuse neoplasia in a “pneumonia-like” gross pattern. Metastatic disease was found in the right adrenal gland and thoracic and abdominal lymph nodes. Microscopic dissemination through lymphatics, pleura, and airways was detected. Histological examination revealed a poorly differentiated adenocarcinoma with hepatoid features. Immunohistochemmistry stains were positive for keratin 7, polyclonal carcinoembryonic antigen (CEA) in a diffuse pattern, AFP and HepPar-1 antibody. TTF-1 showed a diffuse granular cytoplasmic staining of the neoplastic cells, and only focal nuclear positivity. Multiple bilateral emboli originated from deep venous thrombosis were present in large and medium branches of the pulmonary artery and contributed to the cause of death
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