112 resultados para Empirical Mode Decomposition, vibration-based analysis, damage detection, signal decomposition


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The photon statistics of the random laser emission of a Rhodamine B doped di-ureasil hybrid powder is investigated to evaluate its degree of coherence above threshold. Although the random laser emission is a weighted average of spatially uncorrelated radiation emitted at different positions in the sample, a spatial coherence control was achieved due to an improved detection configuration based on spatial filtering. By using this experimental approach, which also allows for fine mode discrimination and timeresolved analysis of uncoupled modes from mode competition, an area not larger than the expected coherence size of the random laser is probed. Once the spectral and temporal behavior of nonoverlapping modes is characterized, an assessment of the photon-number probability distribution and the resulting second-order correlation coefficient as a function of time delay and wavelength was performed. The outcome of our single photon counting measurements revealed a high degree of temporal coherence at the time of maximum pump intensity and at wavelengths around the Rhodamine B gain maximum.

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A mancha preta dos citros é uma doença causada pelo fungo Guignardia citricarpa que produz lesões em frutos em variedades de laranja doce comerciais, causando a queda precoce dos frutos, diminuindo a produtividade e levando a sua depreciação para o mercado de fruta fresca. O objetivo do trabalho foi desenvolver e validar um modelo de favorabilidade climática da mancha preta dos citros relacionado a ocorrência dos sintomas da doença no Estado de São Paulo. Desenvolveu-se um sistema empírico com base em um banco de dados da ocorrência da doença e das condições climáticas, em campo, nos municípios de Barretos/SP e Gavião Peixoto/SP, durante as Safras 2007/2008 e 2008/2009. A variedade de laranjeira doce utilizada nos experimentos foi a 'Valência' enxertada sobre limoeiro 'Cravo', com 10 anos de idade. Para a incidência da mancha preta foi avaliada a porcentagem de frutos com sintomas na planta e para a severidade, a porcentagem de casca lesionada por fruto. Na análise de regressão as variáveis climáticas e os dados de intensidade de doença de Barretos foram selecionados no procedimento 'stepwise'. As melhores equações de regressão foram selecionadas pelo coeficiente de determinação (R²) e pela significância da regressão no teste F (P < 0,05 e P < 0,01) que resultou na equação Y= -502,43 + 9,61 X10 + 4,78 X30 + 0,54 X46 - 7,9 X50 em que Y=Índice de Favorabilidade, X10 é a temperatura média, X30 é a umidade relativa média, X46 é o molhamento foliar e X50 é a temperatura média durante o molhamento foliar, determinados com dados de intervalos de sete dias. Procedeu-se a validação no campo no município de Gavião Peixoto durante a Safra 2008/2009, realizando a correlação entre a incidência e severidade observadas no experimento e os dados previstos que foram os determinados pela equação, sendo que a correlação mostrou-se positiva para a incidência da doença com um R²=0,87.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The acquisition and update of Geographic Information System (GIS) data are typically carried out using aerial or satellite imagery. Since new roads are usually linked to georeferenced pre-existing road network, the extraction of pre-existing road segments may provide good hypotheses for the updating process. This paper addresses the problem of extracting georeferenced roads from images and formulating hypotheses for the presence of new road segments. Our approach proceeds in three steps. First, salient points are identified and measured along roads from a map or GIS database by an operator or an automatic tool. These salient points are then projected onto the image-space and errors inherent in this process are calculated. In the second step, the georeferenced roads are extracted from the image using a dynamic programming (DP) algorithm. The projected salient points and corresponding error estimates are used as input for this extraction process. Finally, the road center axes extracted in the previous step are analyzed to identify potential new segments attached to the extracted, pre-existing one. This analysis is performed using a combination of edge-based and correlation-based algorithms. In this paper we present our approach and early implementation results.

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This paper presents an approach for structural health monitoring (SHM) by using adaptive filters. The experimental signals from different structural conditions provided by piezoelectric actuators/sensors bonded in the test structure are modeled by a discrete-time recursive least square (RLS) filter. The biggest advantage to use a RLS filter is the clear possibility to perform an online SHM procedure since that the identification is also valid for non-stationary linear systems. An online damage-sensitive index feature is computed based on autoregressive (AR) portion of coefficients normalized by the square root of the sum of the square of them. The proposed method is then utilized in a laboratory test involving an aeronautical panel coupled with piezoelectric sensors/actuators (PZTs) in different positions. A hypothesis test employing the t-test is used to obtain the damage decision. The proposed algorithm was able to identify and localize the damages simulated in the structure. The results have shown the applicability and drawbacks the method and the paper concludes with suggestions to improve it. ©2010 Society for Experimental Mechanics Inc.

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A clinical epidemiological study was conducted among 34 rural properties located within the Brazilian Pantanal region and nearby areas between 2007 and 2010. The diagnosis of equine pythiosis was based on antibody detection (by enzyme-linked immunosorbent assay), polymerase chain reaction, histopathological analysis, and cultures positive for Pythium insidiosum. The majority of the affected animals (85%) were in the Pantanal biome, which had a higher disease prevalence (0.9%-66.7%) than that of the Cerrado (2.7%-33.3%). The disease was more prevalent in the rainy season (January-March), with an abrupt fall in the number of cases during the drought period (April-September; correlation of R 2 = 0.77; P < .01). Generally, the average prevalence of equine pythiosis in both regions was 5%, with mortality and lethality rates of 1.3% and 23.1%, respectively, in the Pantanal and 2.3% and 45.5%, respectively, in the Cerrado. However, the treatment with immunotherapy may have underestimated these numbers, especially in the Pantanal. Animals older than 1 year were 8.09 times more affected by the disease than younger animals in the same environment (P < .05). A correlation between the anatomical area of the lesion and the type of skin color was also observed. Approximately 73% of the lesions were found in dark-pigmented areas, and animals with a dark coat color were affected more frequently. These findings highlight the importance of hematophagous insects in the epidemiology of pythiosis because these areas are preferred for blood feeding. © 2013 Elsevier Inc. All rights reserved.

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Biodiesel fuel is gradually replacing petroleum-based diesel oil use. Despite the biodiesel being considered friendlier to the environment, little is known about its effects in aquatic organisms. In this work we evaluated whether biodiesel exposure can affect oxidative stress parameters and biotransformation enzymes in armored catfish (Pterygoplichthys anisitsi, Loricariidae), a South American endemic species. Thus, fish were exposed for 2 and 7d to 0.01mLL-1 and 0.1mLL-1 of pure diesel, pure biodiesel (B100) and blends of diesel with 5% (B5) and 20% (B20) biodiesel. Lipid peroxidation (malondialdehyde) levels and the activities of the enzymes glutathione S-transferase, superoxide dismutase, catalase and glutathione peroxidase were measured in liver and gills. Also, DNA damage (8-oxo-7, 8-dihydro-2'-deoxyguanosine) levels in gills and 7-ethoxyresorufin-O-deethylase activity in liver were assessed. Pure diesel, B5 and B20 blends changed most of the enzymes tested and in some cases, B5 and B20 induced a higher enzyme activity than pure diesel. Antioxidant system activation in P. anisitsi was effective to counteract reactive oxygen species effects, since DNA damage and lipid peroxidation levels were maintained at basal levels after all treatments. However, fish gills exposed to B20 and B100 presented increased lipid peroxidation. Despite biodiesel being more biodegradable fuel that emits less greenhouse gases, the increased lipid peroxidation showed that biofuel and its blends also represent hazards to aquatic biota. © 2013 Elsevier Ltd.