PROPOSTA DE UM FRAMEWORK BASEADO EM MINERAÇÃO DE DADOS PARA REDES 5G

Smart cities are gaining, increasingly, notoriety. Through them, the population can have better services and urban quality of life. With the future fifth generation cellular (5G) networks will be possible to collect data from various sources throughout the city, such as sensors and actuators, mobile devices, mobile and telephone networks among others. In this scenario, it will be necessary to analyze large volumes of data, in order to get knowledge and useful information for a dynamic and clever planning. This article presents a data mining based framework proposal for 5G networks, named Urban Computing Framework in 5G Networks (CoUrbF5G). Real standards of a mobile network are found and analyzed in the proposal by applying data mining techniques along with ancillary methods on the conducting of Data Science processes, such as Knowledge Discovery in Databases (KDD) and Big Data.Cidades inteligentes vêm ganhando, cada vez mais, notoriedade. Através delas, a população pode ter melhores serviços e qualidade de vida urbana. Com as futuras redes de celulares de quinta geração (5G) será possível coletar dados por meio de diversas fontes espalhadas pela cidade, tais como sensores, dispositivos móveis, redes veiculares e de telefonia, dentre outras. Nesse cenário, haverá a necessidade de análise de grandes volumes de dados, com o objetivo de extrair conhecimento e informação útil para o planejamento inteligente e dinâmico. Este artigo apresenta uma proposta de framework baseado em mineração de dados para redes 5G, denominado Urban Computing Framework in 5G Networks (CoUrbF5G). Padrões reais de uma rede de telefonia móvel são encontrados e analisados, aplicando técnicas de mineração de dados, em conjunto com métodos auxiliares na condução de processos como Knowledge Discovery in Databases (KDD) e Big Data

<i>L. (V.) braziliensis</i> isolates differ in their ability to hydrolyze adenine nucleotides.

<p>Promastigotes were isolated on the 5th day of culture and incubated with ATP (A), ADP (B) and AMP (C) for 1 hr at 30°C. Enzymatic activity was evaluated by the measurement of inorganic phosphate released. Bars represent the mean+standard deviation (SD) of three or more independent experiments performed in triplicates. Significant differences are shown below each graph. Statistical analysis was performed by one-way ANOVA followed by Bonferroni post-test.</p

Promastigotes with high ecto-nucleotidase activity inhibit NO production by activated macrophages.

<p>J774-macrophages were infected with promastigotes of <i>L. (V.) braziliensis</i> isolates (5 parasites/cell) for 3 and 72 hr, in presence or not of IFN-γ/LPS. (A) Percentage of infected cells and ATPase activity of promastigotes (nmolPi/10⁸ parasites/hr). (B) Number of parasites per infected macrophage. (C) NO production in 72 hr supernatants. Bars represent the mean+SD of two independent experiments performed in duplicates. (*) indicates statistical difference (p<0.05). Statistical analysis was performed by Students's <i>t</i>-test.</p