922 resultados para INTEGRATED BIOLOGICAL POND SYSTEM


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A novel multisampling time-domain architecture for CMOS imagers with synchronous readout and wide dynamic range is proposed. The architecture was implemented in a prototype of imager with 32x32 pixel array fabricated in AMS CMOS 0.35νm and was characterized for sensitivity and color response. The pixel is composed of an n+/psub photodiode, a comparator and a D flip-flop having 16% fill-factor and 30νmx26νm dimensions. The multisampling architecture requires only a 1 bit per pixel memory instead of 8 bits which is typical for time-domain active pixel architectures. The advantage is that the number of transistors in the pixel is low, saving area and providing higher fill-factor. The maximum frame rate is analyzed as a function of number of bits and array size. The analysis shows that it is possible to achieve high frame rates and operation in video mode with 10 bits. Also, we present analysis for the impact of comparator offset voltage in the fixed pattern noise. Copyright 2007 ACM.

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An analog circuit that implements a radial basis function network is presented. The proposed circuit allows the adjustment of all shape parameters of the radial functions, i.e., amplitude, center and width. The implemented network was applied to the linearization of a nonlinear circuit, a voltage controlled oscillator (VCO). This application can be classified as an open-loop control in which the network plays the role of the controller. Experimental results have proved the linearization capability of the proposed circuit. Its performance can be improved by using a network with more basis functions. Copyright 2007 ACM.

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The aim of this work was to develop a detailed econometric analysis to compare a constructed wetland system - combined model, and a waste stabilization pond system - facultative pond, as a function of six different sizes of finishing pig farms and two waste management systems - wet and dry. The constructed wetland system using dried waste management showed the best economic results. This finding is due to the low-cost implementation a year both per animal and per kilogram of meat. This system also required the smallest area for waste treatment. The use of stabilization pond with wet waste management system showed a lower implementation cost a year per animal and per kilogram of meat, but it required large areas. The econometric analysis of both systems of wastewater treatment revealed an economy of scale.

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Sustainable agriculture, reduced production costs and adding value to the system are achieved through the use of agricultural areas throughout the year, in integrated or mixed system. The study aimed to determine the technical coefficients to estimate and evaluate the operational cost and profitability indicators of the consortium of corn with two species of Brachiaria (B. brizantha, MG-5 and B. ruziziensis). The crops were submitted to N rates (0, 100, 200, 300 e 400kg ha-1year-1) at sidedressing, using urea, and winter common bean in succession, in crop-livestock integration under no-tillage, in irrigated conditions, in 2008/2009 agricultural year in Cerrado region (Selvíria - MS). The experiment was conducted in a randomized complete block design with four replications in a 2 x 5factorial. It was concluded thatcathe inputs were the components that most increased the producing cost of corn and common bean in the ILP study. The total operational cost has increased as a function of increasing doses of N. In all treatments the levels of profitability were positive indicating the viability of the system. The treatment that showed the best technical and economic performance was intercropped with corn and B. brizantha, fertilized with 100kg ha-1year-1N and common bean in succession.

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Includes bibliography

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To understand how biological phenomena emerge, the nonlinear interactions among the components envolved in these and the correspondent connected elements, like genes, proteins, etc., can be represented by a mathematical object called graph or network, where interacting elements are represented by edges connecting pairs of nodes. The analysis of various graph-related properties of biological networks has revealed many clues about biological processes. Among these properties, the community structure, i.e. groups of nodes densely connected among themselves, but sparsely connected to other groups, are important for identifying separable functional modules within biological systems for the comprehension of the high-level organization of the cell. Communities' detection can be performed by many algorithms, but most of them are based on the density of interactions among nodes of the same community. So far, the detection and analysis of network communities in biological networks have only been pursued for networks composed by one type of interaction (e.g. protein-protein interactions or metabolic interactions). Since a real biological network is simultaneously composed by protein-protein, metabolic and transcriptional regulatory interactions, it would be interesting to investigate how communities are organized in this type of network. For this purpose, we detected the communities in an integrated biological network of the Escherichia coli and Saccharomyces cerevisiae by using the Clique Percolation Method and we veri ed, by calculating the frequency of each type of interaction and its related entropy, if components of communities... (Complete abstract click electronic access below)

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Communities are present on physical, chemical and biological systems and their identification is fundamental for the comprehension of the behavior of these systems. Recently, available data related to complex networks have grown exponentially, demanding more computational power. The Graphical Processing Unit (GPU) is a cost effective alternative suitable for this purpose. We investigate the convenience of this for network science by proposing a GPU based implementation of Newman community detection algorithm. We showed that the processing time of matrix multiplications of GPUs grow slower than CPUs in relation to the matrix size. It was proven, thus, that GPU processing power is a viable solution for community dentification simulation that demand high computational power. Our implementation was tested on an integrated biological network for the bacterium Escherichia coli

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Through awareness of new trends of consumption of the population with regard to housing, comfort, entertainment, security and sustainability, it was crafted a work that set out to study and develop the concept of home automation and how it will revolutionize the electrical installation projects and energy savings. A pre-wiring project, taking into account, basically, the installed load, is presented as a basis for comparison. The protocols for communication between intelligent devices in an automation environment, used in the work, are the X-10, LonWorks and UPnP. The home network is studied and divided into subsystems, for a better understanding, which are the lighting, audio, video and multimedia system, security, air conditioning and central vacuum system, and the idea of integrated design and system integrator is introduced, showing the change necessity in the design philosophy of electrical installations. The main means of energy savings in an automated home, such as dimerization, master off and smart meters are presented and, finally, it was concluded that there is a need to structure electrical installation projects more comprehensive with regard to home automation, in order to become more efficient and useful to users

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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