3,355 research outputs found

    Software-defined networking: guidelines for experimentation and validation in large-scale real world scenarios

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    Part 1: IIVC WorkshopInternational audienceThis article thoroughly details large-scale real world experiments using Software-Defined Networking in the testbed setup. More precisely, it provides a description of the foundation technology behind these experiments, which in turn is focused around OpenFlow and on the OFELIA testbed. In this testbed preliminary experiments were performed in order to tune up settings and procedures, analysing the encountered problems and their respective solutions. A methodology consisting of five large-scale experiments is proposed in order to properly validate and improve the evaluation techniques used in OpenFlow scenarios

    Using Simulation to Model Time Utilization of Army Recruiters

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    It is a well-known fact Army recruiters work very long hours in a demanding environment. In many cases, recruiting stations are geographically isolated from military bases, with recruiters often tolerating a high cost of living, crime, and other such adverse conditions that characterize the communities they work in. The job itself demands self-starting, motivated individuals with a wide range of skills, from street-savvy to salesmanship, in order to succeed. A number of factors in recent years have made military recruiting more difficult, which include scandals involving highly-placed soldiers and changes in attitudes towards military service among eligible men and women. A recent mission increase has exacerbated this problem even further for the many recruiters who must shoulder this burden. Unlike previous studies which have concentrated on the effects of advertisements and other determinants of enlistments in the Army, this study instead focuses on the individual recruiters themselves, with the ultimate purpose of defining the relationship between the various recruiter tasks and the end product - qualified Army recruits. The key step towards the accomplishment of this goal was the determination of which factors influence recruiter effectiveness. In the course of developing a model and subsequent computer simulation of the recruiting process, a thorough process flow description of the major recruiter tasks was generated. Task completion times were estimated on the basis of empirical studies of actual recruiting stations in anticipation of their use as model input parameters. All of this information was then incorporated into working Simprocess and ModSim computer simulations of a single recruiting station with an arbitrary number of recruiters

    Cultivar de Arroz de Terras Altas BRSGO Serra Dourada: Desempenho Produtivo em Roraima.

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    bitstream/item/135279/1/COT-175-N77.pd

    Evolução do Cultivo e Custo de Produção do Arroz Irrigado em Roraima

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    bitstream/item/35102/1/COT-47-2010-ID-13-1.pd

    Arroz Vermelho: Orientações técnicas para o manejo em lavouras de arroz irrigado em várzeas de Roraima.

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    bitstream/item/37030/1/DOC-41-2010-ID-44-1.pd

    Desempenho produtivo da cultivar de Arroz de terras altas BRS Sertaneja em Roraima no período de 2002 a 2006.

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    bitstream/item/41044/1/BPD-25-2010-ID-54.pd

    BRS Tropical: Nova cultivar de Arroz Para as Várzeas de Roraima.

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    bitstream/item/24082/1/tropical.pd

    The Kumaraswamy-G Poisson Family of Distributions

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    For any baseline continuous G distribution, we propose a new generalized family called the Kumaraswamy-G Poisson (denoted with the prefix “Kw-GP”) with three extra positive parameters. Some special distributions in the new family such as the Kw-Weibull Poisson, Kw-gamma Poisson and Kw-beta Poisson distributions are introduced. We derive some mathematical properties of the new family including the ordinary moments, generating function and order statistics. The method of maximum likelihood is used to fit the distributions in the new family. We illustrate its potentiality by means of an application to a real data set

    Vortex and gap generation in gauge models of graphene

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    Effective quantum field theoretical continuum models for graphene are investigated. The models include a complex scalar field and a vector gauge field. Different gauge theories are considered and their gap patterns for the scalar, vector, and fermion excitations are investigated. Different gauge groups lead to different relations between the gaps, which can be used to experimentally distinguish the gauge theories. In this class of models the fermionic gap is a dynamic quantity. The finite-energy vortex solutions of the gauge models have the flux of the "magnetic field" quantized, making the Bohm-Aharonov effect active even when external electromagnetic fields are absent. The flux comes proportional to the scalar field angular momentum quantum number. The zero modes of the Dirac equation show that the gauge models considered here are compatible with fractionalization
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