Energy production predication via Internet of Thing based machine learning system

© 2019 Elsevier B.V. Wind energy is an interesting source of alternative energy to complement the Brazilian energy matrix. However, one of the great challenges lies in managing this resource, due to its uncertainty behavior. This study addresses the estimation of the electric power generation of a wind turbine, so that this energy can be used efficiently and sustainable. Real wind and power data generated in set of wind turbines installed in a wind farm in Ceará State, Brazil, were used to obtain the power curve from a wind turbine using logistic regression, integrated with Nonlinear Autoregressive neural networks to forecast wind speeds. In our system the average error in power generation estimate is of 29 W for 5 days ahead forecast. We decreased the error in the manufacturer\u27s power curve in 63%, with a logics regression approach, providing a 2.7 times more accurate estimate. The results have a large potential impact for the wind farm managers since it could drive not only the operation and maintenance but management level of energy sells

Composição centesimal e análise sensorial da carne de ovinos Morada Nova alimentados com dietas contendo melão em substituição ao milho Centesimal composition and sensorial analysis of Morada Nova lambs fed diets containing melon fruit in substitution of corn grain

Objetivou-se avaliar a influência da adição de melão em substituição ao milho moído em dietas sobre a composição centesimal e análise sensorial da carne de ovinos da raça Morada Nova. Foram utilizados 20 animais da raça Morada Nova, machos não-castrados, com peso vivo médio inicial de 15 kg, distribuídos em delineamento inteiramente ao acaso para avaliação de quatro níveis (0, 30, 60 e 100%) de inclusão de melão em substituição ao milho moído, cada um avaliado com cinco repetições. Para determinar a composição centesimal da carne, utilizou-se o músculo semimembranosus. Com o músculo longissimus dorsi, procedeu-se à análise sensorial quantificando, por intermédio de notas, os atributos de sabor, odor, suculência, maciez e aparência global. As análises dos dados não apresentaram diferenças significativas para a composição centesimal (umidade, proteína, lipídio e matéria mineral). Na análise sensorial, a suculência apresentou comportamento quadrático, com ponto de máximo de 5,18, e as demais qualidades organolépticas (odor, sabor, maciez e aparência global) não foram influenciadas pela inclusão de melão em substituição ao milho nas dietas. A utilização de melão em substituição ao milho em dietas para ovinos Morada Nova não afeta as principais qualidades organolépticas da carne.<br>The objective of this trial was to evaluate the influence of the addition of melon fruit replacing ground corn in diets on the centesimal composition and sensory analysis of meat from Morada Nova lambs. Twenty Morada Nova males with average weight of 15 kg were distributed in a completely randomized design with four increasing levels (0, 30, 60 and 100%) of melon in substitution of ground corn, each one with five replications. To determine the chemical composition of meat, the semimembranosus muscle was used. With the muscle longissimus dorsi sensory analysis, the attributes of taste, odor, juiciness, softness and overall appearance were conducted by quantifying, by means of scoring. Data analysis showed no significant differences in proximate composition (moisture, protein, lipid and ash). At the sensory analysis, juiciness showed quadratic response with a maximum peak of 5.18 and the other organoleptic qualities (flavor, tenderness and overall appearance) were not affected by the inclusion of melon replacing corn in diets. The use of melon in diets for Morada Nova sheep diets does not affect the main organoleptic qualities of meat

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora