Informações sobre a fase de viveiro de algumas espécies florestais na Amazônia brasileira.

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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

Verification of Magnitude and Phase Responses in Fixed-Point Digital Filters

In the digital signal processing (DSP) area, one of the most important tasks is digital filter design. Currently, this procedure is performed with the aid of computational tools, which generally assume filter coefficients represented with floating-point arithmetic. Nonetheless, during the implementation phase, which is often done in digital signal processors or field programmable gate arrays, the representation of the obtained coefficients can be carried out through integer or fixed-point arithmetic, which often results in unexpected behavior or even unstable filters. The present work addresses this issue and proposes a verification methodology based on the digital-system verifier (DSVerifier), with the goal of checking fixed-point digital filters w.r.t. implementation aspects. In particular, DSVerifier checks whether the number of bits used in coefficient representation will result in a filter with the same features specified during the design phase. Experimental results show that errors regarding frequency response and overflow are likely to be identified with the proposed methodology, which thus improves overall system's reliability

A terminologia aplicada ao projeto INTAGRO na perspectiva da organização e difusão da informação e da representação do conhecimento.

Este trabalho apresenta a fase final do processo de mapeamento e representação do conhecimento com viés terminológico sobre o domínio da intensificação agropecuária no Brasil. Usando o Ambiente e-Termos e a partir da compilação de um corpus textual e da extração automática de termos efetuada, foi criada uma taxonomia com 639 entradas que representa os conceitos e termos deste domínio que juntos serviram de base para a tarefa definitória deste processo. Os resultados finais contam com 93 fichas terminológicas preenchidas e 470 trechos definitórios que representam o início do mapeamento deste domínio do conhecimento com motivação terminológica.CIIC 2012. No 12617

Agrossilvicultura: conceitos, classificação e oportunidades para aplicação na Amazônia brasileira.

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Caracterízação de uvas finas de mesa produzidas em ambiente protegido.

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