960 resultados para Máquinas


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Este estudo teve o objetivo de avaliar o impacto do tráfego de máquinas na qualidade física do solo e produtividade de milho em Argissolo. O delineamento experimental foi inteiramente casualizado, com seis tratamentos e oito repetições representadas por parcelas de 14 m². Os tratamentos foram: T0) sem tráfego; T1*) uma passada de trator de 3,0 t, uma ao lado da outra; T1) uma passada; T2) duas passadas; T4) quatro passadas; T8) oito passadas de um trator de 8,0 t. Utilizou-se o milho (Zea mays L.) híbrido master, que foi avaliado quanto à produtividade de grãos. No solo, foram avaliados a porosidade, a densidade do solo, a resistência à penetração, o intervalo hídrico ótimo e a densidade do solo relativa. O tráfego de máquinas compactou o solo até 0,25 m de profundidade e reduziu a produtividade de milho em até 22%. O intervalo hídrico ótimo diminuiu com o aumento do tráfego de máquinas indicando decréscimo da qualidade física do solo para o milho. A densidade do solo relativa limitante à produtividade de milho é de 0,89.

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The number of applications based on embedded systems grows significantly every year, even with the fact that embedded systems have restrictions, and simple processing units, the performance of these has improved every day. However the complexity of applications also increase, a better performance will always be necessary. So even such advances, there are cases, which an embedded system with a single unit of processing is not sufficient to achieve the information processing in real time. To improve the performance of these systems, an implementation with parallel processing can be used in more complex applications that require high performance. The idea is to move beyond applications that already use embedded systems, exploring the use of a set of units processing working together to implement an intelligent algorithm. The number of existing works in the areas of parallel processing, systems intelligent and embedded systems is wide. However works that link these three areas to solve any problem are reduced. In this context, this work aimed to use tools available for FPGA architectures, to develop a platform with multiple processors to use in pattern classification with artificial neural networks

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The human voice is an important communication tool and any disorder of the voice can have profound implications for social and professional life of an individual. Techniques of digital signal processing have been used by acoustic analysis of vocal disorders caused by pathologies in the larynx, due to its simplicity and noninvasive nature. This work deals with the acoustic analysis of voice signals affected by pathologies in the larynx, specifically, edema, and nodules on the vocal folds. The purpose of this work is to develop a classification system of voices to help pre-diagnosis of pathologies in the larynx, as well as monitoring pharmacological treatments and after surgery. Linear Prediction Coefficients (LPC), Mel Frequency cepstral coefficients (MFCC) and the coefficients obtained through the Wavelet Packet Transform (WPT) are applied to extract relevant characteristics of the voice signal. For the classification task is used the Support Vector Machine (SVM), which aims to build optimal hyperplanes that maximize the margin of separation between the classes involved. The hyperplane generated is determined by the support vectors, which are subsets of points in these classes. According to the database used in this work, the results showed a good performance, with a hit rate of 98.46% for classification of normal and pathological voices in general, and 98.75% in the classification of diseases together: edema and nodules

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Forage sorghum can be grown in areas presenting dry and hot environmental situations where the yield of other grasses can often be uneconomical. The objective of this study was to analyze the operating performance of agricultural machines in the deployment of sorghum forage in four tillage systems, as follows: no-tillage system, disk harrow + seeding, disk harrow + two light disking + seeding, minimum tillage + seeding and four seeding different speeds, as follows: 3, 5, 6 and 9 km h(-1). The study was performed under field conditions in FCA/UNESP, Botucatu County, SP, Brazil. The data were subjected to variance analysis in a simple factorial 4 x 4, and a random block design with split plots. Operational performance of the agricultural machinery, physical characteristics the soil, its water content and the yield of dry matter and green sorghum were determined. The operational performance of agricultural machines in the deployment of sorghum forage is influenced by the sowing speed and the soil tillage system used. Chisel plow was the equipment that required the highest mean traction force, mean traction and slip, as well as the lowest mean speed for the studied tillage system. Forage sorghum showed higher yields in no-tillage systems at a seeding speed of 5 km h(-1).

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This paper aims to design and develop a control and monitoring system of vending machines, based on a Central Processing Unit with peripheral Internet communication. Coupled with the condom vending machines, a data acquisition module will be connected to the original circuits in order to collect and send, via internet, the information to the healthy government agencies, in the form of charts and reports. In the face of this, such agencies may analyze these data and compare them with the rates of reduction, in medium or long term, of the STD/AIDS in their respective regions, after the implementation of these vending machines, together with the conventional preventing programs. Reading the methodology, this paper is about an explaining and bibliography research, with the aspect of a qualitative-quantitative methodology, presenting a deductive method of approach and an indirect documentation technique research. About the results of the tests and simulations, we concluded that the implementation of this system will have the same success in any other type of dispenser machine

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Reinforcement learning is a machine learning technique that, although finding a large number of applications, maybe is yet to reach its full potential. One of the inadequately tested possibilities is the use of reinforcement learning in combination with other methods for the solution of pattern classification problems. It is well documented in the literature the problems that support vector machine ensembles face in terms of generalization capacity. Algorithms such as Adaboost do not deal appropriately with the imbalances that arise in those situations. Several alternatives have been proposed, with varying degrees of success. This dissertation presents a new approach to building committees of support vector machines. The presented algorithm combines Adaboost algorithm with a layer of reinforcement learning to adjust committee parameters in order to avoid that imbalances on the committee components affect the generalization performance of the final hypothesis. Comparisons were made with ensembles using and not using the reinforcement learning layer, testing benchmark data sets widely known in area of pattern classification

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Electrical Motors transform electrical energy into mechanic energy in a relatively easy way. In some specific applications, there is a need for electrical motors to function with noncontaminated fluids, in high speed systems, under inhospitable conditions, or yet, in local of difficult access and considerable depth. In these cases, the motors with mechanical bearings are not adequate as their wear give rise to maintenance. A possible solution for these problems stems from two different alternatives: motors with magnetic bearings, that increase the length of the machine (not convenient), and the bearingless motors that aggregate compactness. Induction motors have been used more and more in research, as they confer more robustness to bearingless motors compared to other types of machines building with others motors. The research that has already been carried out with bearingless induction motors utilized prototypes that had their structures of stator/rotor modified, that differ most of the times from the conventional induction motors. The goal of this work is to study the viability of the use of conventional induction Motors for the beringless motors applications, pointing out the types of Motors of this category that can be more useful. The study uses the Finite Elements Method (FEM). As a means of validation, a conventional induction motor with squirrel-cage rotor was successfully used for the beringless motor application of the divided winding type, confirming the proposed thesis. The controlling system was implemented in a Digital Signal Processor (DSP)

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The power system stabilizers are used to suppress low-frequency electromechanical oscillations and improve the synchronous generator stability limits. This master thesis proposes a wavelet-based power system stabilizer, composed of a new methodology for extraction and compensation of electromechanical oscillations in electrical power systems based on the scaling coefficient energy of the maximal overlap discrete wavelet transform in order to reduce the effects of delay and attenuation of conventional power system stabilizers. Moreover, the wavelet coefficient energy is used for electric oscillation detection and triggering the power system stabilizer only in fault situations. The performance of the proposed power system stabilizer was assessed with experimental results and comparison with the conventional power system stabilizer. Furthermore, the effects of the mother wavelet were also evaluated in this work

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Este artigo avalia os resultados do processo de reestruturação da indústria brasileira de máquinas têxteis, originado pelas reformas econômicas liberalizantes iniciadas no final dos anos 1980 e início dos 1990 e pelas medidas macroeconômicas que deram sustentação ao Plano Real, a partir de julho de 1994. Inicialmente, fazemos uma avaliação teórica das fontes do conhecimento e das formas de capacitação tecnológica nessa indústria. A seguir, expomos brevemente as principais características da indústria de máquinas têxteis em âmbito global. Posteriormente, direcionando a discussão para o caso brasileiro, apresentamos as especificidades da indústria têxtil, usuária daqueles bens, e do próprio setor de máquinas nacional. Através dos fluxos de comércio exterior do Brasil entre 1990 e 2004 e da variação do valor médio (US$ FOB/KG) desses fluxos, o artigo examina as mudanças estruturais, tecnológicas e, por conseguinte, na competitividade, que culminaram na transformação da indústria brasileira de máquinas têxteis, em termos de dimensão (escala) e escopo, e em uma nova inserção internacional, agora mais especializada e subordinada.

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No Brasil, o tráfego contínuo e inadequado de rodados de máquinas e a ação da soleira dos implementos sobre áreas agrícolas na região dos Cerrados têm provocado alterações dos atributos físicos e mecânicos dos solos. Com este entendimento, este estudo teve por objetivo avaliar a influência do rodado traseiro e da soleira de implementos agrícolas, usualmente utilizados na região dos Cerrados, sobre a compressibilidade de um Latossolo Vermelho distrófico típico. Os ensaios foram realizados em parcelas preparadas com arado de discos, arado de aivecas, grade aradora e semeadora/adubadora, que, desde novembro de 1994 até à data da amostragem, novembro de 1999, estiveram sob o sistema plantio direto. As alterações na compressibilidade foram avaliadas pela quantificação das pressões de preconsolidação, assim como por algumas propriedades físicas e hídricas (densidade do solo, porosidade e condutividade hidráulica do solo saturado) no momento do preparo e depois da colheita. No momento do preparo, logo depois da passada do rodado e antes que o implemento mobilizasse o solo, o solo foi avaliado em superfície (SP - 0,00 a 0,05 m) e na profundidade média de trabalho (PMT - 0,24 a 0,27 m). A influência da soleira dos implementos foi avaliada logo depois do corte, na profundidade de trabalho abaixo da soleira de cada implemento (PT-SI). Depois da colheita, as amostragens foram repetidas, o que permitiu verificar a influência dos tráfegos subseqüentes. A intensidade de tráfego do rodado e a ação da soleira dos implementos alteraram a compressibilidade, a densidade do solo, a porosidade e condutividade hidráulica do solo saturado do Latossolo Vermelho distrófico nas profundidades: superficial (SP), profundidade média de trabalho (PMT) e profundidade de corte dos implementos (PT-SI). de maneira geral, a passada do rodado traseiro aumentou os valores de pressão de preconsolidação (sigmap) do solo na superfície (SP), enquanto o tráfego subseqüente, necessário ao cultivo, elevou esses valores em subsuperfície, tanto na PMP como em PT-SI. A passada do rodado elevou e reduziu a densidade do solo (Ds) e a macroporosidade, respectivamente, tendo sido o arado de aivecas o implemento que mais modificou essas propriedades. As soleiras dos órgãos ativos do arado de discos e da grade aradora foram as que mais elevaram a pressão de preconsolidação (sigmap), consolidando, portanto, a estrutura do solo na profundidade PT-SI. Com exceção da semeadora/adubadora, a soleira dos órgãos ativos dos demais implementos avaliados reduziram significativamente a condutividade hidráulica do solo saturado (Ks) na profundidade PT-SI, tendo o arado de aivecas se mostrado o implemento mais impactante, seguido da grade aradora e arado de discos.