DECOM - Trabalhos apresentados em eventos

URI permanente para esta coleçãohttp://www.hml.repositorio.ufop.br/handle/123456789/581

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2010 - 20127

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Data inicial: 2010Tem arquivos: Sim

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Agora exibindo 1 - 7 de 7
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    Entendendo a twitteresfera brasileira.
    (2011) Souza, Fabrício Benevenuto de; Silveira, Diego; Bombonato, Leonardo; Fortes, Reinaldo Silva; Pereira Junior, Álvaro Rodrigues
    O Twitter vem constantemente crescendo como um importante sistema onde usuários discutem sobre tudo, expressando opiniões, visão política, orientação sexual e ate mesmo humor, como felicidade ou tristeza. Redes sociais são apontadas como locais onde usuários influenciam e são influenciados por outros sendo, portanto, ambientes perfeitos para a realização de marketing boca-a-boca, propagandas e campanhas políticas. Com o intuito de oferecer entendimento sobre o uso do Twitter no Brasil, este trabalho prove uma ampla caracterização dos usuários brasileiros no Twitter e do conteúdo postado por esses usuários. Nos correlacionamos dados demográficos brasileiros com dados da localização dos usuários do Twitter para mostrar que alguns estados brasileiros estão subestimados nesse sistema. Alem disso, n´os caracterizamos os diferentes padrões linguísticos adotados, analisamos as URLs mais propagadas, e identificamos os usuários brasileiros mais influentes no Twitter em cada região brasileira.
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    IDEAL-TRAFFIC : a self-adaptive management framework for building monitoring applications with support to network topology changes.
    (2012) Silva, Saul Emanuel Delabrida; Oliveira, Ricardo Augusto Rabelo; Pereira Junior, Álvaro Rodrigues
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    A general variable neighborhood search approach for the resolution of the Eternity II Puzzle.
    (2010) Coelho, Igor Machado; Coelho, Bruno Nazário; Coelho, Vitor Nazário; Haddad, Matheus Nohra; Souza, Marcone Jamilson Freitas; Ochi, Luiz Satoru
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    Um algoritmo de amostragem multivariada para redes de sensores sem fio.
    (2010) Silva Junior, Orlando; Aquino, André Luiz Lins de; Mini, Raquel Aparecida de Freitas
    A wireless sensor network (WSN) is energy constrained, and the ex-tension of its lifetime is an important issue in its design. A WSN can be used to collect and process data of environment that can be, in some cases, multivariate. In this way, to help the data processing, this work proposes a multivariate sampling algorithm which uses component analysis techniques to rank the data and then to select only the data more relevant to the application. Simulation results show that our technique reduces the data keeping its representativeness. In addition, the energy consumption and delay on the network are reduced.
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    A wavelet-based sampling algorithm for wireless sensor networks applications.
    (2010) Aquino, André Luiz Lins de; Oliveira, Ricardo Augusto Rabelo; Wanner, Elizabeth Fialho
    This work proposes and evaluates a sampling algorithm based on wavelet transforms with Coiflets basis to reduce the data sensed in wireless sensor networks applications. The Coiflets basis is more computationally efficient when data are smooth, which means that, data are well approximated by a polynomial function. As expected, this algorithm reduces the data traffic in wireless sensor network and, consequently, decreases the energy consumption and the de-lay to delivery the sensed information. The main contribution of this algorithm is the capability to detect some event by adjusting the sampling dynamically. In order to evaluate the algorithm, we compare it with a static sampling strategy considering a real sens-ing data where an external event is simulated. The results reveal the efficiency of the proposed method by reducing the data with-out loosing its representativeness, including when some event oc-curs. This algorithm can be very useful to design energy-efficient and time-constrained sensor networks when it is necessary to detect some event.
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    Um algoritmo coevolutivo cooperativo para configuração de uma rede de sensores sem fio.
    (2011) Ruela, André Siqueira; Aquino, André Luiz Lins de; Guimarães, Frederico Gadelha; Freitas, Alan Robert Resende de
    This work proposes a cooperative coevolutionary algorithm for design of a wireless sensor network considering complex network metrics. It is proposed a heuristic to find a network configuration such that its communication structure presents a small value for the average shortest path length and a high cluster coefficient. This configuration considers a cluster based network, where the cluster heads have two communication radii. We describe how the problem can be partitioned and how the fitness computation can be divided such that the cooperative coevolution model is feasible. The results reveal that our methodology allows the configuration of networks with more than a hundred nodes with two specifics complex network measurements allowing the reduction of energy consumption and the data transmission delay.
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    A framework for sensor stream reduction in wireless sensor networks.
    (2011) Aquino, André Luiz Lins de
    This work presents a general methodology to perform sensor stream reduction in wireless sensor networks. This methodology considers the application requirements, the reduction design, and the data reduce validation. Specifically, the reduction design, we present a architecture that can be applied to reduce the data when it is sensed or routed through to sink. The objective of this work is to show step-by-step how we can realize reduction applications in wireless sensor networks by using our methodology. The study cases show the usefulness of our methodology applied on a general sensing and a real time scenarios.