886 resultados para extração de nutrientes
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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O presente trabalho foi conduzido com o objetivo de avaliar algumas características físicas e a distribuição dos nutrientes nos frutos de maracujá doce (Passiflora alata Dryand.), segundo sua classificação. Os frutos classificados como tipo 8 foram maiores e mais pesados que os dos tipos 9 e 12, apresentando maior peso de casca e de polpa. Independentemente da classificação dos frutos, o N, P, B, Cu, Fe e Zn estão distribuídos em maior quantidade na polpa do que na casca dos frutos. O K, Ca, S e o Mn estão distribuídos em maior quantidade na casca do que na polpa dos frutos. O magnésio apresenta uma distribuição na casca levemente superior à da polpa. Na média dos três tipos de frutos, os valores obtidos por fruto (casca+polpa) foram: 578,6 mg de N; 81,9 mg de P; 740,6 mg de K; 56,8 mg de Ca; 64,6 mg de Mg; 98,3 mg de S; 452,3 mg de B; 302,5 mg de Cu; 1471 mg de Fe; 167,5 mg de Mn, e 644,1 mg de Zn.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Gallium is an important material used in the electronic industry whose demand in the world market is increasing in view of its potential applications. A selective technique is required to allow for the production of the metal, separated from aluminium. Due to the fact that microemulsions constitute an attractive alternative to metal extraction procedures, microemulsified systems have been employed as gallium-selective extraction agents. Two surfactants have been synthesized: sodium 12-N,N-diethylamino-9,10-dihydroxyestearate (AMINE) and saponified coconut oil (SCO), both produced from raw materials readily available in Northeastern Brazil. Also, the commercial extraction agent KELEX-100, conventionally used with the same purpose, has been used in this work for comparison. The optimization of the extraction process with microemulsions was carried out by investigating the influence of some parameters, namely the type of cosurfactant, the cosurfactant/surfactant (C/S) ratio, the pH and concentration of metals in the aqueous phase. Pseudoternary diagrams, which are representative of the microemulsified systems under study, have been constructed in order to establish the boundaries of the regions where the several Winsor systems are formed. An experimental planning methodology (Scheffé Net) has been used to optimize the extraction. The extraction percentage values were as high as 100% for gallium and 99.99% for aluminium for the system with KELEX-100; 96.6% for gallium and 98.8% for aluminium for the system containing AMINE; and 88% for gallium and 85% for aluminium for the system with SCO. The microemulsified system chosen for presenting the best results in gallium extraction was composed by SCO/isoamyl alcohol/kerosene/Bayer licquor with a C/S ratio of 28 and pH of the original aqueous phase of 6.0. The selectivity that has not been observed in the extraction stage was accomplished in the reextraction process using HCl. For the KELEX-100 system, gallium was reextracted at 100% with 6M HCl and aluminium was reextracted at 100% with 0.8M HCl. For the AMINE system, the reextraction percentages were also 100% for both metals, using 6M HCl for gallium and 0.5M HCl for aluminium. On the other hand, the reextraction percentages for the system with SCO were as high as 84% for gallium and 92% for aluminium, with HCl in the same concentrations as those used in the AMINE system. Finally, an optimized system was applied in the gallium extraction process employing a reciprocating perforated-plates extractor. As a result, the metal content was extracted at a recovery rate of 95% for gallium and 97% for aluminium
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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In the fields of Machine Vision and Photogrammetry, extracted straight lines from digital images can be used either as vector elements of a digital representation or as control entities that allow the determination of the camera interior and exterior orientation parameters. Applications related with image orientation require feature extraction with subpixel precision, to guarantee the reliability of the estimated parameters. This paper presents three approaches for straight line extraction with subpixel precision. The first approach considers the subpixel refinement based on the weighted average of subpixel positions calculated on the direction perpendicular to the segmented straight line. In the second approach, a parabolic function is adjusted to the grey level profile of neighboring pixels in a perpendicular direction to the segmented line, followed by an interpolation of this model to estimate subpixel coordinates of the line center. In the third approach, the subpixel refinement is performed with a parabolic surface adjustment to the grey level values of neighboring pixels around the segmented line. The intersection of this surface with a normal plane to the line direction generates a parabolic equation that allows estimating the subpixel coordinates of the point in the straight line, assuming that this is the critical point of this function. Three experiments with real images were made and the approach based on parabolic surface adjustment has presented better results.
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This paper proposes a methodology for automatic extraction of building roof contours from a Digital Elevation Model (DEM), which is generated through the regularization of an available laser point cloud. The methodology is based on two steps. First, in order to detect high objects (buildings, trees etc.), the DEM is segmented through a recursive splitting technique and a Bayesian merging technique. The recursive splitting technique uses the quadtree structure for subdividing the DEM into homogeneous regions. In order to minimize the fragmentation, which is commonly observed in the results of the recursive splitting segmentation, a region merging technique based on the Bayesian framework is applied to the previously segmented data. The high object polygons are extracted by using vectorization and polygonization techniques. Second, the building roof contours are identified among all high objects extracted previously. Taking into account some roof properties and some feature measurements (e. g., area, rectangularity, and angles between principal axes of the roofs), an energy function was developed based on the Markov Random Field (MRF) model. The solution of this function is a polygon set corresponding to building roof contours and is found by using a minimization technique, like the Simulated Annealing (SA) algorithm. Experiments carried out with laser scanning DEM's showed that the methodology works properly, as it delivered roof contours with approximately 90% shape accuracy and no false positive was verified.
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In this paper a methodology for automatic extraction of road segments from images with different resolutions (low, middle and high resolution) is presented. It is based on a generalized concept of lines in digital images, by which lines can be described by the centerlines of two parallel edges. In the specific case of low resolution images, where roads are manifested as entities of 1 or 2 pixels wide, the proposed methodology combines an automatic image enhancement operation with the following strategies: automatic selection of the hysteresis thresholds and the Gaussian scale factor; line length thresholding; and polygonization. In medium and high resolution images roads manifest as narrow and elongated ribbons and, consequently, the extraction goal becomes the road centerlines. In this case, it is not necessary to apply the previous enhancement step used to enhance roads in low resolution images. The results obtained in the experimental evaluation satisfied all criteria established for the efficient extraction of road segments from different resolution images, providing satisfactory results in a completely automatic way.
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This article proposes a method for 3D road extraction from a stereopair of aerial images. The dynamic programming (DP) algorithm is used to carry out the optimization process in the object-space, instead of usually doing it in the image-space such as the DP traditional methodologies. This means that road centerlines are directly traced in the object-space, implying that a mathematical relationship is necessary to connect road points in object and image-space. This allows the integration of radiometric information from images into the associate mathematical road model. As the approach depends on an initial approximation of each road, it is necessary a few seed points to coarsely describe the road. Usually, the proposed method allows good results to be obtained, but large anomalies along the road can disturb its performance. Therefore, the method can be used for practical application, although it is expected some kind of local manual edition of the extracted road centerline.
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In this paper is a totally automatic strategy proposed to reduce the complexity of patterns ( vegetation, building, soils etc.) that interact with the object 'road' in color images, thus reducing the difficulty of the automatic extraction of this object. The proposed methodology consists of three sequential steps. In the first step the punctual operator is applied for artificiality index computation known as NandA ( Natural and Artificial). The result is an image whose the intensity attribute is the NandA response. The second step consists in automatically thresholding the image obtained in the previous step, resulting in a binary image. This image usually allows the separation between artificial and natural objects. The third step consists in applying a preexisting road seed extraction methodology to the previous generated binary image. Several experiments carried out with real images made the verification of the potential of the proposed methodology possible. The comparison of the obtained result to others obtained by a similar methodology for road seed extraction from gray level images, showed that the main benefit was the drastic reduction of the computational effort.
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Venous wounds cause physical, psychological and financial problems that impact the quality of life of patients. Treatment alternatives are investigated in order to reduce healthcare costs and improve quality of life of people affected by this problem. Physical resources, such as therapeutic ultrasound (US), are being considered in the treatment of ulcers as a potential healing agent. This study aimed to investigate the application of US as a treatment for venous ulcers. Subjects were divided into two groups: US group, where treatment consisted of 5 sessions of pulsed US (3 MHz, 1W/cm²) associated with compression and kinesiotherapy; and sham group, where individuals went through the same procedures, but with sham US therapy. Subjects were evaluated for wound size by planimetry and digital photography, visual analogue scale for pain, quality of life by the questionnaires SF- 36 and VEINES-QoL/Sym and enzymatic activity of metalloproteinases 2 and 9 by zymography. It was observed mean reduction in wound area of 41.58±53.8% for the US group and 63.47±37.2% for the placebo group, maintenance of quality of life scores in the US group and significant improvement (p<0.05) in the placebo group by VEINES questionnaire. It was observed decreased perception of pain in the placebo group. Sample feasibility for analysis of the protein activity of metalloproteinases 2 and 9 by zymography collected by swab method was also confirmed. Our data did not give us evidence to support the theory that the US accelerates healing of venous ulcers in a short-term analysis. However, we observed that standard care associated with compression therapy and kinesiotherapy were able to significantly shorten the progression of chronic venous ulcers
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The objective of this work is to identify, to chart and to explain the evolution of the soil occupation and the envirionment vulnerability of the areas of Canto do Amaro and Alto da Pedra, in the city of Mossoró-RN, having as base analyzes it multiweather of images of orbital remote sensors, the accomplishment of extensive integrated works of field to a Geographic Information System (GIS). With the use of inserted techniques of it analyzes space inserted in a (GIS), and related with the interpretation and analyzes of products that comes from the Remote Sensoriamento (RS.), make possible resulted significant to reach the objectives of this works. Having as support for the management of the information, the data set gotten of the most varied sources and stored in digital environment, it comes to constitute the geographic data base of this research. The previous knowledge of the spectral behavior of the natural or artificial targets, and the use of algorithms of Processing of Digital images (DIP), it facilitates the interpretation task sufficiently and searchs of new information on the spectral level. Use as background these data, was generated a varied thematic cartography was: Maps of Geology, Geomorfológicals Units soils, Vegetation and Use and Occupation of the soil. The crossing in environment SIG, of the above-mentioned maps, generated the maps of Natural and Vulnerability envirionmental of the petroliferous fields of I Canto do Amaro and Alto da Pedra-RN, working in an ambient centered in the management of waters and solid residuos, as well as the analysis of the spatial data, making possible then a more complex analysis of the studied area
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Objetivou-se, com este trabalho, avaliar os efeitos da adição de diferentes níveis de enzima mais levedura na dieta de bovinos sobre a digestibilidade aparente dos nutrientes e o desempenho em confinamento, utilizando-se 18 animais machos, mestiços, de origem leiteira, com peso vivo (PV) médio de 190±10 kg e 12 meses de idade, e 27 animais da raça Guzerá com PV médio de 325 kg e idade média de 27 meses. Os níveis de enzima mais levedura foram zero (controle), 5 g de enzima (E) mais 5 g de levedura (L) e 10 g de E mais 5 g de L por animal por dia. Todos os animais receberam a mesma dieta, constituída de 65% de silagem (50% de milho:50% de sorgo) e 35% de concentrado composto de milho (24,6%), farelo de algodão (7,4%), uréia (1,2%), sal mineralizado (0,54%) e calcário (0,86%). Esta dieta apresentava 12,4% de PB; 10,1 MJEM/kg MS e 41,1% de FDN. A adição de enzima mais levedura não alterou o consumo de MS (3,31% do PV ou 126,6 g/kg PV0,75), e CDA da MS (63,0%), PB (68,2%), EE (83,3%), CHOT (61,3%), FDN (47,2%), FDA (43,8%) e valor de NDT (62,8%). O GMD e o CMS diminuíram de forma quadrática e a CA alimentar piorou linearmente, em função dos dias de confinamento. O fornecimento de enzima mais levedura para bovinos de corte não traz benefícios nutricionais ou de desempenho.