236 resultados para Otimização de algoritmos


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Engenharia Mecânica - FEG

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Engenharia Elétrica - FEIS

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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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Pós-graduação em Alimentos e Nutrição - FCFAR

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A novel AC Biosusceptometry (ACB) system with thirteen sensors it was implemented and characterized in vitro using magnetic phantoms. The system presenting coils in a coaxial arrangement with one pair of excitation coil outside and thirteen pairs of detection coils inside. A first-order gradiometric configuration was utilized for optimal detection of magnetic signals. Several physical parameters such as baseline, number of turns, excitation field and diameters were studied for improvement of the signal/noise ratio. This system exhibits an enhanced sensitivity and spatial resolution, due to the higher density of sensors/area. In the future those characteristics will turn possible to obtain images of magnetic marker or tracer in the gastrointestinal tract focusing on physiological and pharmaceutical studies. ACB emerged due to its interesting nature, noninvasiveness and low cost to investigate gastrointestinal parameters and this system can contribute for more accurate interpretation of biomedical signals and images

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There is a growing search for continuous improvement within the companies which creates an obligation of reducing and when it is possible eliminating waste. Production Planning and Control Department (PCP) is not out of this question, making necessary the application of methods and creation of tools that eliminate steps which do not add value to the planning process. This paper aims to develop a tool which concentrates in just one place all the necessary information to make the packaging material requirement planning (MRP) in a agribusiness company. Besides, it also aims, in a more visual way and using devices that prevent mistakes (Poka-Yoke), to reduce the number of reviews and mistakes made by analysts. As a result, an Excel spreadsheet was developed. This spreadsheet shows what happens with the status of planning and receiving of packaging, giving some advices when some critical situation happens. The use of Lean Manufacturing Method and the action research method helped to well define the problem and to reduce the number of steps, spreadsheets and time of process in 80%, 60% and 75%, respectively

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There are many advantages when using a phantom for the evaluation of the mammographic images, one of them is to test the visibility of the distribution of objects that constitute it, and then, set the best image in order to obtain a diagnostic medical insurance, trying to reach the best risk - benefit ratio for the patient. Typically, the quality of the mammographic image is performed by subjective and quantitative assessments. This study developed algorithms that can quantitatively evaluate digital images (DICOM), obtained from mammographic phantom consisting of test objects. The results were adjusted by the response of the subjective evaluation performed by experts in radiology. This procedure aims to create an independence of the experts in radiology in daily tests of quality control in routine clinical diagnostic radiology

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Almost forty years computed tomography (CT) has been one of the most powerful tools in diagnostic imaging. However, this modality delivers relatively high doses to their patients. It is known that the inappropriate use and unnecessary radiation may be associated with a significant risk of cancer, especially in pediatric patients. Moreover, the quality assurance in CT, provided and required by Portaria 453/98 and the guide of the RE 1016/05, ensures that the images generated by computer tomography provide reliable diagnostic information with doses as low as reasonably achievable. This research aimed to make the quality control (QC) of CT equipment; establish a better relationship between dose and noise on the image to protocols of skull CT according to the study of optimization proposed in 2005 by Daros; and assess the dose distribution in different cranial organs for protocols of adult and pediatric use in the routine of the Department of Diagnostic Imaging of HCFMB-UNESP. The equipment used for testing QC, optimization and dosimetry was a third generation tomograph GE Sytec 3000i

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Techniques of image combination, with extraction of objects to set a final scene, are very used in applications from photos montages to cinematographic productions. These techniques are called digital matting. With them is possible to decrease the cost of productions, because it is not necessary for the actor to be filmed in the location where the final scene occurs. This feature also favors its use in programs made to digital television, which demands a high quality image. Many digital matting algorithms use markings done on the images, to demarcate what is the foreground, the background and the uncertainty areas. This marking is called trimap, which is a triple map containing these three informations. The trimap is done, typically, from manual markings. In this project, methods were created that can be used in digital matting algorithms, with restriction of time and without human interaction, that is, the creation of an algorithm that generates the trimap automatically. This last one can be generated from the difference between a color of an arbitrary background and the foreground, or by using a depth map. It was also created a matting method, based on the Geodesic Matting (BAI; SAPIRO, 2009), which has an inferior processing time then the original one. Aiming to improve the performance of the applications that generates the trimap and of the algorithms that generates the alphamap (map that associates a value to the transparency of each pixel of the image), allowing its use in applications with time restrictions, it was used the CUDA architecture. Taking advantage, this way, of the computational power and the features of the GPGPU, which is massively parallel