Funcionalidades e evolução do sistema embarcado SITIS IO.

confiabilidade dos dados obtidos na fenotipagem complementar conduzida em condições de casa de vegetação, utilizando métodos manuais para a aplicação de tratamentos e monitoração de experimentos, diminui conforme o número de colunas de solo a serem acompanhadas aumenta. Para solucionar este problema, o sistema SITIS está sendo desenvolvido para automatizar os processos de irrigação e monitoramento dos experimentos, com os seguintes módulos: SITIS Web, SITIS Controle e SITIS IO. O módulo SITIS IO atua diretamente em contato com as colunas de solo e suas funcionalidades são: a leitura dos sensores de umidade; a leitura da massa da coluna; o controle da irrigação; e o envio das informações coletadas da coluna de solo para o SITIS Controle. O SITIS IO é composto por um software embarcado e por um hardware especializado

Silvipastoral systems on Amazon river floodplains: identification of multipurpose forest species based on traditional knowledge of riverside inhabitants.

Resumo

Efeito da temperatura no desenvolvimento de Cylindrocladium candelabrum obtidos de Eucalyptus.

Resumo

Effective models of quantum gravity induced by Planck scale modifications in the covariant quantum algebra

In this paper we introduce a modified covariant quantum algebra based in the so-called Quesne-Tkachuk algebra. By means of a deformation procedure we arrive at a class of higher derivative models of gravity. The study of the particle spectra of these models reveals an equivalence with the physical content of the well-known renormalizable and super-renormalizable higher derivative gravities. The particle spectrum exhibits the presence of spurious complex ghosts and, in light of this problem, we suggest an interesting interpretation in the context of minimal length theories. Also, a discussion regarding the non-relativistic potential energy is proposed.Comment: Small corrections were made; improved figures; results unchanged; published versio

Considerações sobre recuperação de áreas alteradas por atividades agropecuária e florestal na Amazônia brasileira.

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Avaliação do crescimento micelial de Cylindrocladium candelabrum sob várias temperaturas.

Edição dos resumos do 35º Congresso Paulista de Fitopatologia, 2012, Jaguariúna

Microgeneration of Wind Energy for Micro and Small Businesses: Application of ANN in Sensitivity Analysis for Stochastic Economic Feasibility

To reduce the risks of a new energy crisis and increase energy availability, the use of renewable energy sources (RES) is important and recommended. In Brazil, micro and small companies contribute about 25% of gross domestic product (GDP), and electric energy is employed intensively, so the importance of microgeneration is observable. This research aims to analyze the economic viability of the micro-generation wind energy project for micro and small businesses. Thus, three Brazilian states, Rio Grande do Norte, Rio Grande do Sul and Minas Gerais were considered, and different scenarios were proposed. A feasibility analysis is then performed, followed by a stochastic analysis using Monte Carlo simulation (MCS). Finally, models of artificial neural networks (ANN) are used to evaluate the relative importance (RI) of the variables. The results show that none of the states appears economically feasible under the conditions presented. In the stochastic analysis, the probability of viability is between 17% and 24% in all states, which shows the low probability of viability for microgeneration. Through ANN training, it was possible to calculate the RI, in which it is possible to identify the variables that have most impact on the net present value (NPV) in all states; it is considered the most important variable in the project's viability. In addition, the discussion explores the importance of public incentives for promoting investment in renewable energy, which can reduce investment costs and make it attractive to small and medium-sized businesses