966 resultados para Método numérico de partículas


Relevância:

30.00% 30.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

30.00% 30.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

30.00% 30.00%

Publicador:

Resumo:

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Relevância:

30.00% 30.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

30.00% 30.00%

Publicador:

Resumo:

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Relevância:

30.00% 30.00%

Publicador:

Resumo:

Durante o processo de extração do conhecimento em bases de dados, alguns problemas podem ser encontrados como por exemplo, a ausência de determinada instância de um atributo. A ocorrência de tal problemática pode causar efeitos danosos nos resultados finais do processo, pois afeta diretamente a qualidade dos dados a ser submetido a um algoritmo de aprendizado de máquina. Na literatura, diversas propostas são apresentadas a fim de contornar tal dano, dentre eles está a de imputação de dados, a qual estima um valor plausível para substituir o ausente. Seguindo essa área de solução para o problema de valores ausentes, diversos trabalhos foram analisados e algumas observações foram realizadas como, a pouca utilização de bases sintéticas que simulem os principais mecanismos de ausência de dados e uma recente tendência a utilização de algoritmos bio-inspirados como tratamento do problema. Com base nesse cenário, esta dissertação apresenta um método de imputação de dados baseado em otimização por enxame de partículas, pouco explorado na área, e o aplica para o tratamento de bases sinteticamente geradas, as quais consideram os principais mecanismos de ausência de dados, MAR, MCAR e NMAR. Os resultados obtidos ao comprar diferentes configurações do método à outros dois conhecidos na área (KNNImpute e SVMImpute) são promissores para sua utilização na área de tratamento de valores ausentes uma vez que alcançou os melhores valores na maioria dos experimentos realizados.

Relevância:

30.00% 30.00%

Publicador:

Resumo:

O presente trabalho analisa o efeito da forma da partícula por meio do método dos Elementos Discretos (DEM). São analisadas quatro partículas com formas e esfericidades diferentes – uma esférica e três não-esféricas. O ângulo de repouso é o principal instrumento de avaliação dos escoamentos. A análise inicia com a calibração da partícula esférica usando dados da literatura, em seguida, estes parâmetros calibrados são empregados para a simulação dos escoamentos das partículas não-esféricas. São feitas comparações dos esforços computacionais e, estas informações, são usadas para verificar as vantagens que a partícula esférica oferece sobre as outras três formas. Nesse cenário, procedimentos foram desenvolvidos para ajudar no processo de calibração dos ângulos de repousos, tendo como base, o conhecimento da sensibilidade de alguns parâmetros DEM. Os resultados mostram a influência das partículas não-esféricas e, principalmente, que é possível obter com a partícula esférica, escoamentos similares aos das partículas não-esféricas, com ganho computacional.

Relevância:

30.00% 30.00%

Publicador:

Resumo:

The goal of this project is the reproduction, through the simulation code based on the MCNPX (Monte Carlo N-Particle eXtended) v2.50 method, of the proton beam interaction with the material, since, in proton therapy, only the particle ionization and excitation are analyzed and the occurence of nuclear interactive inelastic process are not considered. This work will help the development of studies concerning the contribution to the total dosis of secondary particles generated by nuclear interaction in proton therapy. They are: alpha particles ( ), deuterium(2H), tritium (3H), neutron (n) and helium (3He). A MS20 tissue substitute phantom was used as the target and the energy of the proton beams was within an interest range of 100 to 200MeV. With the results obtained, it was possible to generate graphics which allows the analysis of the dosis deposition relation with and without nuclear interaction, the percentage of secondary particles deposited dosis, the radial dispersion of neutrons in the material, the secondary particles multiplicity, as well as the relation between the secondary particles spectrum with the próton generated spectrum

Relevância:

30.00% 30.00%

Publicador:

Resumo:

Chitosan is a natural biodegradable polymer with great potential for pharmaceutical applications due to its biocompatibility, high charge density , nontoxicity and mucoadhesion. Gel formation can be obtained by the interactions of chitosans with low molecular counterions such as polyphosphates, sulphates and crosslinking with glutaraldehyde. This gelling property of chitosan allows a wide range of applications such as coating of pharmaceuticals and food products, gel entrapment of biochemicals, whole cells, microorganisms and algae. One of its main applications is the synthesis of microspheres for coating of pharmaceuticals , magnetic particles an other substances. In such a way, we can build targeted drug delivery systems. In the present work, we applied the method of spraying and coagulation. The resulting microspheres, then, were characterized by optical microscopy

Relevância:

30.00% 30.00%

Publicador:

Resumo:

This work proposes two optimization algorithms for the solution of the Berth Allocation Problem (PAB). Due to the economic development of the country, it became necessary for the improvement of means of transport, which mainly shipping. For this, you need a better system management port, you will receive a lot of ships carrying cargo. In this work the PAB is approached so that the goals are to reduce costs and time handling in ports. For this, we applied two computational techniques, genetic algorithms and optimization for cloud particles, to obtain the best results for this problem. The results obtained with each type of algorithm are compared to conclude which method is more efficient for the port system

Relevância:

30.00% 30.00%

Publicador:

Resumo:

In the treatment plans in conventional Proton therapy are considered only the elastic interactions of protons with electrons and/or nuclei, it means, mainly ionization and coulomb excitation processes. As the energy needed to reach the deep tumors should be of several hundred of MeVs, certainly the nuclear inelastic channels are open. Only some previous studies of the contribution of these processes in the full dose have been made towards targets composed of water. In this study will be presented the results of the simulation of the processes of interaction of beams of protons in the range of 100-200 MeV of energy with a cylindrical phantom composed by striated muscle (ICRU), emphasizing in the contribution to total dose due to the deposition of energy by secondary particles alpha (α), deuterium (2H), tritium (3H), neutron (n) and hélio3 (3He), originated by nuclear inelastic processes. The simulations were performed by using the method of Monte Carlo, via the computer code MCNPX v2.50 (Monte Carlo N-Particle eXtended). The results will be shown demonstrated through the graphics of the deposited dose with or without nuclear interaction, the percentual of dose deposited by secondary particles, the radial dispersion of neutrons, as well as the multiplicity of secondary particles

Relevância:

30.00% 30.00%

Publicador:

Resumo:

In proton therapy, the deposition of secondary particles energy originated by nuclear inelastic process (n, 2H, 3H, 3He and α) has a contribution in the total dose that deserves to be discussed. In calculations of plans implemented for routine treatment, the paid dose is calculated whereas the proton loses energy by ionization and or coulomb excitement. The contribution of inelastic processes associated with nuclear reactions is not considered. There are only estimates for pure materials or simple composition (water, for example), because of the difficulty of processing targets consisting of different materials. For this project, we use the Monte Carlo method employing the code MCNPX v2.50 (Monte Carlo N-Particle eXtended) to present results of the contribution to the total dose of secondary particles. In this work, it was implemented a cylindrical phantom composed by cortical bone, for proton beams between 100 and 200 MeV. With the results obtained, it was possible to generate graphics to analyze: the dose deposition relation with and without nuclear interaction, the multiplicity and percentage of deposited dose for each secondary particle and a radial dispersion of neutrons in the material