360 research outputs found

    Introducing the VisTrails Provenance Explorer Plugin for ParaView

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    Journal ArticleIn order to analyze and validate various hypotheses, it is necessary to create insightful visualizations of both the simulated processes and observed phenomena, using powerful data analysis and visualization tools like ParaView. But to explore data through visualization, scientists need to go through several steps. They need to select data products and specify series of operations that need to be applied to these data to create appropriate visual representations before they can finally view and analyze the results. Often, insight comes from comparing the results of multiple visualizations. Unfortunately, today this process is far from interactive and contains many error-prone and time-consuming tasks. As a result, the generation and maintenance of visualization data products has become a major bottleneck in the scientific process, hindering not only the ability to mine scientific data, but the actual use of scientific data in every day applications. In particular, scientists and engineers need to expend substantial effort managing data (e.g., scripts that encode computational tasks, raw data, data products, and notes) and record provenance (history) information so that basic questions can be answered, such as: Who created a data product and when? When was it modified and by whom? What was the process used to create the data product? Were two data products derived from the same raw data

    Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar

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    Automatic machine learning is an important problem in the forefront of machine learning. The strongest AutoML systems are based on neural networks, evolutionary algorithms, and Bayesian optimization. Recently AlphaD3M reached state-of-the-art results with an order of magnitude speedup using reinforcement learning with self-play. In this work we extend AlphaD3M by using a pipeline grammar and a pre-trained model which generalizes from many different datasets and similar tasks. Our results demonstrate improved performance compared with our earlier work and existing methods on AutoML benchmark datasets for classification and regression tasks. In the spirit of reproducible research we make our data, models, and code publicly available.Comment: ICML Workshop on Automated Machine Learnin

    Uma contribuição a implantação de um modelo de gestão ambiental conforme a norma NBR ISO 14001

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    Orientador: Rachel Negrão CavalcantiDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de GeocienciasResumo: O objetivo deste trabalho é discutir e analisar alguns dos requisitos da norma NBR ISO 14001 de Sistemas de Gestão Ambienta!, considerados os mais relevantes para a implantação e conseqüente certificação do sistema. O estudo é aplicado à empresa ULTRAFERTIL S/A produtora de rocha fosfática no município de Catalão-GO. Os requisitos mencionados referem-se à avaliação de significância dos aspectos e impactos ambientais da atividade, visando o estabelecimento dos objetivos e metas ambientais do Sistema de Gestão Ambiental da empresa. São esses objetivos e metas que condicionam e determinam todos os demais requisitos da norma em questão. As informações utilizadas para a consecução dos objetivos desse trabalho foram obtidas através do Plano de Recuperação de Áreas Degradadas - PRAD, elaborado para o empreendimento e de trabalho de campo realizado num período de 12 meses. Foram aplicados três diferentes métodos de avaliação de significância de aspectos e impactos ambientais e seus resultados foram analisados e comparados com a finalidade de identificar aquele que melhor reflete a situação da empresa em relação aos seus impactos ambientaisAbstract: The objective of this study is to discuss and analyse some of the requirements of NBR ISO 14001 regulation of environmental management systems, considered most important for the establishment and consequent adoption of specific Environmental Management System. The study is applied to the mining compIex of ULTRAFERTIL S/A, a company that produces phosphate rock in the district of Catalão-GO. The requirements refer to the evaluation of significance of environmentaI aspects and impacts of this activity, with a view to establish environmental objectives and aims of the company's specific Environmental Management System. These aims stipulate and determine alI the other requirements of the regulation in questiono The information utilized for achieving of the objectives of this study were acquired ftom the Uhrafertil's pIans for the Regerenation of Degraded Areas - PRAD, prepared for the undertaking and ftom fieldwork carried out over a period of twelve months. Three differents methods of evaluation significance of environmental and impacts were applied. Based on the resuhs obtained it follows that the second method was the one that permited to find resuhs that better reflect the company's situation towards its environmental impactsMestradoAdministração e Politica de Recursos MineraisMestre em Administração e Politica de Recursos Minerai

    Using topological analysis to support event-guided exploration in urban data

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    The explosion in the volume of data about urban environments has opened up opportunities to inform both policy and administration and thereby help governments improve the lives of their citizens, increase the efficiency of public services, and reduce the environmental harms of development. However, cities are complex systems and exploring the data they generate is challenging. The interaction between the various components in a city creates complex dynamics where interesting facts occur at multiple scales, requiring users to inspect a large number of data slices over time and space. Manual exploration of these slices is ineffective, time consuming, and in many cases impractical. In this paper, we propose a technique that supports event-guided exploration of large, spatio-temporal urban data. We model the data as time-varying scalar functions and use computational topology to automatically identify events in different data slices. To handle a potentially large number of events, we develop an algorithm to group and index them, thus allowing users to interactively explore and query event patterns on the fly. A visual exploration interface helps guide users towards data slices that display interesting events and trends. We demonstrate the effectiveness of our technique on two different data sets from New York City (NYC): data about taxi trips and subway service. We also report on the feedback we received from analysts at different NYC agencies

    The State of the Art in Turbulence Modelling in Brazil

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    The present work discusses at length the current status of turbulent research in Brazil, After eight introductory sections on the subject, where some general aspects of the problem are presented, and a brief review of some scientific and engineering approaches is given, the paper strolls over four specific sections, analyzing all work carried out in Brazil in the past twenty five years on turbulence. In fact, the present compilation is restricted to the main events sponsored by the Brazilian Society of Mechanical Sciences. The present review quotes 284 references, presents 6 tables and ¡6 figures. The paper contents is: Paper Outline, Some Insights, The Traditional Approaches, Some Basic Working Rules, Turbulence Models, One-Point Turbulence Closure Models, Some Other Aproaches to Turbulence Modelling, Some Major Achievements, A Bit of History, Statistics, A Personal View, Gallery, Final Remarks, Cited Bibliography and Compiled Bibliography.Indisponível

    25 anos de Copernicus.

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    A secção UAciência é coordenada pelo Professor Universitário Armindo Rodrigues.O programa europeu de observação da Terra, Copernicus, anteriormente chamado “Monitorização Global para o Ambiente e Segurança”, ou GMES na sigla inglesa, é constituído por uma constelação atual de oito satélites (o primeiro tendo sido lançado em 2014 e podendo chegar a um total de quase 20 até 2030) e por um conjunto de sistemas de observação in situ com sensores terrestres, aéreos e marinhos, permitindo o acesso total, gratuito e de acesso aberto aos dados por cientistas, empreendedores, serviços públicos ou qualquer cidadão. Curiosamente, em 2006 decorreu um concurso destinado a jovens estudantes para atribuir um nome mais apelativo a este programa, na altura GMES, tendo sido escolhido o “Pegasus”, todavia não foi implementado, sendo mais tarde escolhido Copernicus em reconhecimento ao matemático e astrónomo polaco Nicolau Copérnico, e para melhor alinhamento com outro programa estratégico de âmbito espacial da União Europeia dedicado à sua afirmação no setor do posicionamento global, Galileo.info:eu-repo/semantics/publishedVersio
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