929 resultados para two input two output


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The main contribution from this paper includes the hydrodynamic modeling and morphological analysis of Lake Água Preta in Belém city, Pará State, Brazil. The lake bathymetry was taken through the data provided by COSANPA (the local sanitation and water supply company) dating back to 1975, and from a 2009 field study. Both bathymetries produced two terrain elevation models, which were used for morphological analysis and hydrodynamic simulations. The morphological analysis has revealed that, from 1975 to 2009, the annual mean rate of sedimentation varies between 23,065 and 29,081 m3/year. Through this result, the sedimentation time of Lake Água Preta, from 2009, has been calculated, which varies between 295 and 381 years, maintaining the same rate of sedimentation, water consumption and pumping. The hydrodynamic model simulated the depths and velocities, showing a slight flow with velocities ranging from 0 to 33 cm/s. This flow is established between water input and output of the lake, which is used as reservoir of Belém city.

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Engenharia Elétrica - FEIS

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Currently new techniques for data processing, such as neural networks, fuzzy logic and hybrid systems are used to develop predictive models of complex systems and to estimate the desired parameters. In this article the use of an adaptive neuro fuzzy inference system was investigated to estimate the productivity of wheat, using a database of combination of the following treatments: five N doses (0, 50, 100, 150 and 200 kg ha(-1)), three sources (Entec, ammonium sulfate and urea), two application times of N (at sowing or at side-dressing) and two wheat cultivars (IAC 370 and E21), that were evaluated during two years in Selviria, Mato Grosso do Sul, Brazil. Through the input and output data, the system of adaptive neuro fuzzy inference learns, and then can estimate a new value of wheat yield with different N doses. The productivity prediciton error of wheat in function of five N doses, using a neuro fuzzy system, was smaller than that one obtained with a quadratic approximation. The results show that the neuro fuzzy system is a viable prediction model for estimating the wheat yield in function of N doses.

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The mobility of water in the soil is a difficult process to be quantified. During precipitation, there is a portion of the water that infiltrates, which is very important for recovering the groundwater balance. This work studies the mobility of water in sandy soils with different textures and residual soils through experiments mounted in lysimeters. The lysimeters were mounted on acrylic cylinder with 11.3 cm diameter and 25.0 cm in length. The sand was deposited using the process sand rain. In the tests it was maintained a hydraulic head of two centimeters above the surface with the aid of a Mariotte flask. The portions of water were controlled in the experiments using relations between weight and volume measurements over time. The data were obtained by monitoring the input and output volumes of water through calibrated reservoir and system weight by an electronic balance. The infiltration front was monitored with the aid of a digital camera. The results indicate that the smaller the particle size of the sand, the lower the speed of the saturation front, the higher the retained volume, the smaller the basic rate of infiltration and the lowest speed of percolation. Moreover, the rate of water loss in the evaporation process indicated no significant difference with variation of the particle size of the samples

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Man can transform the nature according to their needs through technique which enables agriculture, cattle raising, constructions of buildings for housing, transport routes, etc. This action has brought significant transformations to the environment, and relief is one of the most changed elements, mainly at urban areas, which concentrates most of the Brazilian population. In these areas geomorphologic systems have undergone alterations in their flow of matter and energy by the action of man. Thus, it is possible o understand the action of man as geomorphologic action, nowadays, the tecnógeno, since the human action can interfere qualitatively and quantitatively in the input and output of these systems. The anthropic geomorphology has contributed to the analyses of the effects due to the urbanization at the form and at the geomorphologic process in the urban watersheds, indicating the transformations at the shape of the relief and the alterations due to the acceleration of the flow of matter and energy. From these questions, this study had the main diagnose the anthropogenic changes of the relief at the basin of Corrego do Jardim São João, Araras (SP), comparing two scenes, 1997 and 2006, through geomorphological mapping evolutionary in the area. The geomorphological feature altered at the basin are directly linked to the use of soil, mainly at the urban use, which caused effects in the relief at the studied area, making possible to define periods of the urban evolution and impacts caused by the urbanization. Among the changes it was found the decrease of the topographic breaks and at the riverbed channels, as the increase of the accumulation of the plain and riverbed terrace. The elaboration of a letter of the legal restrictions of the basin make possible to evaluate some of the environmental urban problems that occur, which are due to the occupation of the relief in the areas of permanent preservation that brings significant impacts to...

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Pós-graduação em Agronomia (Agricultura) - FCA

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

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Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA

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

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This paper analyzed the energy flow of a route currently designed to transport ethanol from the Midwest region of Brazil for exportation, more precisely from the city of Aparecida do Taboado (MS) to the port of São Sebastiao (SP). The route studied a single modal combined into two pieces, duct - duct. The direct and indirect energy, involved in the operations were used to account for the inputs and outputs of energy from and into the system. The energy input and output were the variables, diesel fuel, lubricants, greases, indirect energy consumption of machinery and equipment, power consumption of labor, the energy consumption and energy consumption in depreciation and maintenance of roads. We found that this route has specific energy consumption of 0,14 MJ km-1 m-3 . The Net Energy Gain (GEl), the Energy Efficiency global (EEg) and Renewable Energy Balance (BEr), which were the energy indicators adopted in this study were obtained respectively: 1.585.958.977,00 MJ; 200,72 and 1.593.900.000,00MJ.

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Background The evolutionary advantages of selective attention are unclear. Since the study of selective attention began, it has been suggested that the nervous system only processes the most relevant stimuli because of its limited capacity [1]. An alternative proposal is that action planning requires the inhibition of irrelevant stimuli, which forces the nervous system to limit its processing [2]. An evolutionary approach might provide additional clues to clarify the role of selective attention. Methods We developed Artificial Life simulations wherein animals were repeatedly presented two objects, "left" and "right", each of which could be "food" or "non-food." The animals' neural networks (multilayer perceptrons) had two input nodes, one for each object, and two output nodes to determine if the animal ate each of the objects. The neural networks also had a variable number of hidden nodes, which determined whether or not it had enough capacity to process both stimuli (Table 1). The evolutionary relevance of the left and the right food objects could also vary depending on how much the animal's fitness was increased when ingesting them (Table 1). We compared sensory processing in animals with or without limited capacity, which evolved in simulations in which the objects had the same or different relevances. Table 1. Nine sets of simulations were performed, varying the values of food objects and the number of hidden nodes in the neural networks. The values of left and right food were swapped during the second half of the simulations. Non-food objects were always worth -3. The evolution of neural networks was simulated by a simple genetic algorithm. Fitness was a function of the number of food and non-food objects each animal ate and the chromosomes determined the node biases and synaptic weights. During each simulation, 10 populations of 20 individuals each evolved in parallel for 20,000 generations, then the relevance of food objects was swapped and the simulation was run again for another 20,000 generations. The neural networks were evaluated by their ability to identify the two objects correctly. The detectability (d') for the left and the right objects was calculated using Signal Detection Theory [3]. Results and conclusion When both stimuli were equally relevant, networks with two hidden nodes only processed one stimulus and ignored the other. With four or eight hidden nodes, they could correctly identify both stimuli. When the stimuli had different relevances, the d' for the most relevant stimulus was higher than the d' for the least relevant stimulus, even when the networks had four or eight hidden nodes. We conclude that selection mechanisms arose in our simulations depending not only on the size of the neuron networks but also on the stimuli's relevance for action.

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Das Gebiet der drahtlosen Kommunikationsanwendungen befindet sich in einem permanenten Entwicklungsprozess (Mobilfunkstandards: GSM/UMTS/LTE/5G, glo-bale Navigationssatellitensysteme (GNSS): GPS, GLONASS, Galileo, Beidou) zu immer höheren Datenraten und zunehmender Miniaturisierung, woraus ein hoher Bedarf für neue, optimierte Hochfrequenzmaterialien resultiert. Diese Entwicklung zeigt sich besonders in den letzten Jahren in der zunehmenden Entwicklung und Anzahl von Smartphones, welche verschiedene Technologien mit unterschiedlichen Arbeitsfrequenzen innerhalb eines Geräts kombinieren (data: 1G-4G, GPS, WLAN, Bluetooth). Die für zukünftige Technologien (z.B. 5G) benötigte Performance-steigerung kann durch die Verwendung von auf MIMO basierenden Antennensystemen realisiert werden (multiple-input & multiple-output, gesteuerte Kombination von mehreren Antennen) für welche auf dielectric Loading basierende Technologien als eine der vielversprechendsten Implementierungslösungen angesehen werden. rnDas Ziel dieser Arbeit war die Entwicklung einer geeigneten paraelektrischen Glaskeramik ($varepsilon_{r}$ > 20, $Qf$ > 5000 GHz, |$tau_f$| < 20 ppm/K; im GHz Frequenzbe-reich) im $mathrm{La_{2}O_{3}}$-$mathrm{TiO_{2}}$-$mathrm{SiO_{2}}$-$mathrm{B_{2}O_{3}}$-System für auf dielectric Loading basierende Mobilfunkkommunikationstechnologien als Alternative zu existierenden kommerziell genutzten Sinterkeramiken. Der Fokus lag hierbei auf der Frage, wie die makroskopi-schen dielektrischen Eigenschaften der Glaskeramik mit ihrer Mikrostruktur korreliert bzw. modifiziert werden können. Es konnte gezeigt werden, dass die dielektrischen Materialanforderungen durch das untersuchte System erfüllt werden und dass auf Glaskeramik basierende Dielektrika weitere vorteilhafte nichtelektro-nische Eigenschaften gegenüber gesinterten Keramiken besitzen, womit dielektrische Glaskeramiken durchaus als geeignete Alternative angesehen werden können. rnEin stabiles Grünglas mit minimalen Glasbildneranteil wurde entwickelt und die chemische Zusammensetzung bezüglich Entglasung und Redoxinstabilitäten optimiert. Geeignete Dotierungen für dielektrisch verlustarme $mathrm{TiO_{2}}$-haltige Glaskeramiken wurden identifiziert.rnDer Einfluss der Schmelzbedingungen auf die Keimbildung wurde untersucht und der Keramisierungsprozess auf einen maximalen Anteil der gewünschten Kristallphasen optimiert um optimale dielektrische Eigenschaften zu erhalten. Die mikroskopische Struktur der Glaskeramiken wurde analysiert und ihr Einfluss auf die makroskopischen dielektrischen Eigenschaften bestimmt. Die Hochfrequenzverlustmechanismen wurden untersucht und Antennen-Prototypenserien wurden analysiert um die Eignung von auf Glaskeramik basierenden Dielektrika für die Verwendung in dielectric Loading Anwendungen zu zeigen.