RAVEN: a GUI and an Artificial Intelligence Engine in a Dynamic PRA Framework

Increases in computational power and pressure for more accurate simulations and estimations of accident scenario consequences are driving the need for Dynamic Probabilistic Risk Assessment (PRA) [1] of very complex models. While more sophisticated algorithms and computational power address the back end of this challenge, the front end is still handled by engineers that need to extract meaningful information from the large amount of data and build these complex models. Compounding this problem is the difficulty in knowledge transfer and retention, and the increasing speed of software development. The above-described issues would have negatively impacted deployment of the new high fidelity plant simulator RELAP-7 (Reactor Excursion and Leak Analysis Program) at Idaho National Laboratory. Therefore, RAVEN that was initially focused to be the plant controller for RELAP-7 will help mitigate future RELAP-7 software engineering risks. In order to accomplish such a task Reactor Analysis and V

Comportamento meteorológico e sua influência na vindima de 2010 na Serra Gaúcha.

Nota Técnica

Zonage climatique viticole et cartographie numérique du Rio Grande do Sul - Brésil, par les indices du Système CCM Géoviticole.

Abstract: The State Rio Grande do Sul is the main producer of Brazilian fine wines, with four viticultural regions. The objective is the characterization of the viticultural climatic potential of the State (total surface of 281.749 km2). The methodology use the Géoviticulture Multicriteria Climatic Classification System (Géoviticulture MCC System), based on three climatic indices ? Dryness Index (DI), Heliotermal Index (HI) and Cool Night Index (CI). Based on latitude, longitude, altitude and distance from Atlantic Ocean, the 3 viticultural climatic indices were modeled and the algorithms applied to a DTM using GIS. The results show that Rio Grande do Sul has the following classes of viticultural climate: according to DI ? Moderately Dry, Sub-humid, Humid; according to HI ? Cool, Temperate, Temperate warm, Warm and Very Warm; according to CI ? Cool nights, Temperate nights, Warm nights. Based on the total surface, the most representatives viticultural climates are: « Humid x Temperate » (3,1%), « Humid x Temperate warm » (14,4%), « Humid x Warm » (52,6%), « Sub-humid x Warm » (20,0%) and « Sub-humid x Very warm » (5,8%). According to CI, the viticultural climates have a range of variation as a function of the interaction between « earlyness of the varieties x heliothermal availability ». Key words: climate classification, climate models, climatic Groups, zonin

Comportamento de nove cultivares de videira destinadas a elaboração de vinho branco, em diferentes locais da Microrregião Homogênea 311.

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A cultivar de videira sémillon: características e comportamento no Rio Grande do Sul.

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Caracterização agronômica de vinhedos de Cabernet Sauvignon para vinhos de qualidade na Serra Gaúcha.

O Rio Grande do Sul é o principal estado produtor de vinhos do Brasil. A superfície vitícola corresponde a 48.474 ha com a produção de 705.228 t (Mello, 2008). Entre as regiões produtoras desse Estado a Serra Gaúcha é a mais importante. Aproximadamente 80% das uvas produzidas nessa região são Vitis labrusca, que fornecem matéria-prima para a elaboração de vinhos de mesa e suco de uva e 20% são Vitis vinifera, destinadas à elaboração de vinhos finos. O sistema e a forma de condução bem como o manejo do vinhedo definem o rendimento e a qualidade da uva (SHAULIS e SMART, 1974). O sistema de condução adotado na região, para a elaboração de vinhos finos, é, predominantemente, o latada. Este sistema possibilita grande desenvolvimento vegetativo e alta produtividade, mas as uvas nem sempre atingem a maturação e a qualidade desejada. Outros sistemas de condução, entre eles, o espaldeira, estão sendo adotados na região visando à facilidade na execução dos tratos culturais e à melhoria da qualidade das uvas. O objetivo desse trabalho é de caracterizar o comportamento agronômico da cultivar Cabernet Sauvignon, conduzida no sistema espaldeira, em diferentes locais da Serra Gaúcha

Condições meteorológicas e sua influência na vindima de 2011 no Rio Grande do Sul.

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Deep Image Prior Amplitude SAR Image Anonymization

This paper presents an extensive evaluation of the Deep Image Prior (DIP) technique for image inpainting on Synthetic Aperture Radar (SAR) images. SAR images are gaining popularity in various applications, but there may be a need to conceal certain regions of them. Image inpainting provides a solution for this. However, not all inpainting techniques are designed to work on SAR images. Some are intended for use on photographs, while others have to be specifically trained on top of a huge set of images. In this work, we evaluate the performance of the DIP technique that is capable of addressing these challenges: it can adapt to the image under analysis including SAR imagery; it does not require any training. Our results demonstrate that the DIP method achieves great performance in terms of objective and semantic metrics. This indicates that the DIP method is a promising approach for inpainting SAR images, and can provide high-quality results that meet the requirements of various applications

O cultivo da videira: informações básicas.

bitstream/item/87140/1/o-cultivo.pdfEsta publicação tem dois exemplares editados em anos diferentes:m 1984 e 1996