Search results for "metro"

showing 10 items of 620 documents

LSOM: A Link State protocol Over MAC addresses for metropolitan backbones using Optical Ethernet switches

2003

This paper presents a new protocol named "Link State Over MAC" (LSOM) for Optical Ethernet switches to allow the use of active loop topologies, like meshes, in Metropolitan Area Networks (MAN) or even Wide Area Networks (WAN) backbone. In this respect, LSOM is an alternative to a ring topology as proposed in draft IEEE 802.17 Resilient Packet Ring (RPR) or a tree topology using IEEE802. 1D Rapid Spanning Tree Protocol (RSTP). LSOM provides higher scalability and is able to achieve better bandwidth utilization and lower latency than RSTP and RPR. Simulation results for 4-node and 9-node topologies show that LSOM can improve throughput over RPR by a factor of up to 1.7. Furthermore, full free…

Ethernetbusiness.industryComputer scienceDistributed computingResilient Packet RingSynchronous optical networkingComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSRing networkThroughputNetwork topologySpanning Tree ProtocolOptical switchMetropolitan areaLink-state routing protocolbusinessComputer networkSecond IEEE International Symposium on Network Computing and Applications, 2003. NCA 2003.
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Sviluppi recenti e nuove tecnologie per la stima dei fabbisogni irrigui in ambiente mediterraneo

2008

FAO-56Modelli agroidrologiciScintillometroSWAPSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliIrrigazione modelli di simulazione agroidrologicaModelli agroidrologici; TDR; FDR; Scintillometro; TSEB; FAO-56; SWAPTSEBTDRFDR
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Group Importance Sampling for particle filtering and MCMC

2018

Bayesian methods and their implementations by means of sophisticated Monte Carlo techniques have become very popular in signal processing over the last years. Importance Sampling (IS) is a well-known Monte Carlo technique that approximates integrals involving a posterior distribution by means of weighted samples. In this work, we study the assignation of a single weighted sample which compresses the information contained in a population of weighted samples. Part of the theory that we present as Group Importance Sampling (GIS) has been employed implicitly in different works in the literature. The provided analysis yields several theoretical and practical consequences. For instance, we discus…

FOS: Computer and information sciencesComputer Science - Machine LearningComputer sciencePosterior probabilityMonte Carlo methodMachine Learning (stat.ML)02 engineering and technologyMultiple-try MetropolisStatistics - Computation01 natural sciencesMachine Learning (cs.LG)Computational Engineering Finance and Science (cs.CE)Methodology (stat.ME)010104 statistics & probabilitysymbols.namesake[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingStatistics - Machine LearningArtificial IntelligenceResampling0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic EngineeringComputer Science - Computational Engineering Finance and ScienceStatistics - MethodologyComputation (stat.CO)ComputingMilieux_MISCELLANEOUSMarkov chainApplied Mathematics020206 networking & telecommunicationsMarkov chain Monte CarloStatistics::ComputationComputational Theory and MathematicsSignal ProcessingsymbolsComputer Vision and Pattern RecognitionStatistics Probability and UncertaintyParticle filter[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithmImportance samplingDigital Signal Processing
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A Review of Multiple Try MCMC algorithms for Signal Processing

2018

Many applications in signal processing require the estimation of some parameters of interest given a set of observed data. More specifically, Bayesian inference needs the computation of {\it a-posteriori} estimators which are often expressed as complicated multi-dimensional integrals. Unfortunately, analytical expressions for these estimators cannot be found in most real-world applications, and Monte Carlo methods are the only feasible approach. A very powerful class of Monte Carlo techniques is formed by the Markov Chain Monte Carlo (MCMC) algorithms. They generate a Markov chain such that its stationary distribution coincides with the target posterior density. In this work, we perform a t…

FOS: Computer and information sciencesComputer scienceMonte Carlo methodMachine Learning (stat.ML)02 engineering and technologyMultiple-try MetropolisBayesian inference01 natural sciencesStatistics - Computation010104 statistics & probabilitysymbols.namesakeArtificial IntelligenceStatistics - Machine Learning0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic EngineeringComputation (stat.CO)Signal processingMarkov chainApplied MathematicsEstimator020206 networking & telecommunicationsMarkov chain Monte CarloStatistics::ComputationComputational Theory and MathematicsSignal ProcessingsymbolsSample spaceComputer Vision and Pattern RecognitionStatistics Probability and UncertaintyAlgorithm
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Adaptive independent sticky MCMC algorithms

2018

In this work, we introduce a novel class of adaptive Monte Carlo methods, called adaptive independent sticky MCMC algorithms, for efficient sampling from a generic target probability density function (pdf). The new class of algorithms employs adaptive non-parametric proposal densities which become closer and closer to the target as the number of iterations increases. The proposal pdf is built using interpolation procedures based on a set of support points which is constructed iteratively based on previously drawn samples. The algorithm's efficiency is ensured by a test that controls the evolution of the set of support points. This extra stage controls the computational cost and the converge…

FOS: Computer and information sciencesMathematical optimizationAdaptive Markov chain Monte Carlo (MCMC)Monte Carlo methodBayesian inferenceHASettore SECS-P/05 - Econometrialcsh:TK7800-8360Machine Learning (stat.ML)02 engineering and technologyBayesian inference01 natural sciencesStatistics - Computationlcsh:Telecommunication010104 statistics & probabilitysymbols.namesakeAdaptive Markov chain Monte Carlo (MCMC); Adaptive rejection Metropolis sampling (ARMS); Bayesian inference; Gibbs sampling; Hit and run algorithm; Metropolis-within-Gibbs; Monte Carlo methods; Signal Processing; Hardware and Architecture; Electrical and Electronic EngineeringGibbs samplingStatistics - Machine Learninglcsh:TK5101-67200202 electrical engineering electronic engineering information engineeringComputational statisticsMetropolis-within-GibbsHit and run algorithm0101 mathematicsElectrical and Electronic EngineeringGaussian processComputation (stat.CO)MathematicsSignal processinglcsh:Electronics020206 networking & telecommunicationsMarkov chain Monte CarloMonte Carlo methodsHardware and ArchitectureSignal ProcessingSettore SECS-S/03 - Statistica EconomicasymbolsSettore SECS-S/01 - StatisticaStatistical signal processingGibbs samplingAdaptive rejection Metropolis sampling (ARMS)EURASIP Journal on Advances in Signal Processing
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Grapham: Graphical models with adaptive random walk Metropolis algorithms

2008

Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementation covering several such methods, with emphasis on graphical models for directed acyclic graphs. The implemented algorithms include the seminal Adaptive Metropolis algorithm adjusting the proposal covariance according to the history of the chain and a Metropolis algorithm adjusting the proposal scale based on the observed acceptance probability. Different variants of the algorithms allow one, for example, to use these two algorithms together, employ delayed rejection and adjust several parameters of the algorithm…

FOS: Computer and information sciencesStatistics and ProbabilityMarkov chainAdaptive algorithmApplied MathematicsRejection samplingMarkov chain Monte CarloMultiple-try MetropolisStatistics - ComputationStatistics::ComputationComputational Mathematicssymbols.namesakeMetropolis–Hastings algorithmComputational Theory and MathematicssymbolsGraphical modelAlgorithmComputation (stat.CO)MathematicsGibbs samplingComputational Statistics & Data Analysis
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Symmetric logarithmic derivative of Fermionic Gaussian states

2018

In this article we derive a closed form expression for the symmetric logarithmic derivative of Fermionic Gaussian states. This provides a direct way of computing the quantum Fisher Information for Fermionic Gaussian states. Applications ranges from quantum Metrology with thermal states and non-equilibrium steady states with Fermionic many-body systems.

Fermionic Gaussian stateSettore FIS/02 - Fisica Teorica Modelli E Metodi Matematiciquantum geometric informationHigh Energy Physics::LatticeGaussianFOS: Physical sciencesGeneral Physics and Astronomylcsh:Astrophysicsquantum metrology; Fermionic Gaussian state; quantum geometric informationcondensed_matter_physics01 natural sciencesArticle010305 fluids & plasmassymbols.namesakeQuantum mechanicslcsh:QB460-4660103 physical sciencesThermalQuantum metrologyLogarithmic derivativelcsh:Science010306 general physicsMathematical physicsCondensed Matter::Quantum GasesPhysicsQuantum Physicsquantum metrologyQuantum fisher informationlcsh:QC1-999Range (mathematics)symbolslcsh:QClosed-form expressionQuantum Physics (quant-ph)lcsh:Physics
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Ripensare i territori metropolitani. Forme e processi di pressione insediativa sui sistemi di interesse naturale

2013

Nei contesti metropolitani siciliani le recenti forme di urbanizzazione hanno raggiunto livelli di consumo di suolo libero e di pregio, e conseguentemente forme di frammentazione ambientale e territoriale, che rischiano di compromettere non soltanto il valore paesaggistico-ambientale dei territori interessati, ma la loro stessa identità. A partire da questo dato il contributo si pone il duplice obiettivo di verificare da un lato il nesso esistente fra forma dell’urbanizzato e impatto sul sistema ambientale; dall’altro di identificare possibili strategie di governo dei processi di trasformazione del territorio riferite ai reciproci rapporti spaziali tra ambiente costruito e territori aperti.

Forme di Urbanizzazione Frammentazione Ambientale Aree MetropolitaneSettore ICAR/21 - Urbanistica
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La derechización del mundo / 3

2007

FranciaSociedad mediáticaVidal-Beneyto JoséAlternativaDerechizaciónEstación del NorteDominantes ideológicasCOMUNICACIÓNMetroConfrontaciónTierno GalvánEleccionesPublicaciones: Obra periodística: Columnas y artículos de opiniónDerechaTrenesLógica mediáticaGrupos económicosIDEOLOGÍAPolicíaPOLÍTICAJuventud marginalMundoRadioVandalismoMinoría de colorInformadoresPrensaResistencia ideológicaTelevisiónMotínPensadores españolesParísmedios de comunicación
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Improvement of Hall Effect Current Transducer Metrological Performances in the Presence of Harmonic Distortion

2010

The performance of Hall effect current transducers (HECTs), under distorted waveform conditions, is usually characterized by means of a frequency response test. In this paper, it was investigated if frequency response is able to correctly evaluate the ratio and the phase errors under distorted conditions. Two HECTs, with the accuracy class level of 1% and 0.5%, respectively, were experimentally characterized under two conditions: 1) sinusoidal excitation with frequencies ranging from 50 to 750 Hz, which is the well-known frequency response test, and 2) nonsinusoidal excitation using fundamental frequency and one harmonic with adjusted amplitude and phase shift. It was found that ratio and p…

Frequency responseElectric current measurementCurrent measurement current transducer frequency response hall effect devices harmonic distortion power system harmonics.AcousticsTransducersPhase (waves)GyratorsNon-sinusoidal excitationHarmonic distortionAccuracy levelFundamental frequenciesHarmonic analysisPhase errorElectric currentsError compensationFrequency responseFrequency response testsWaveformSinusoidal excitationsPhase shiftElectrical and Electronic EngineeringInstrumentationPhysicsTotal harmonic distortionElectric power distributionHall effectCurrent measurementsMetrological performanceCurrent transducerFundamental frequencyLight measurementAmplitudeAccuracy classHarmonicsMagnetic field effectsHarmonicHarmonic amplitudeSettore ING-INF/07 - Misure Elettriche E ElettronicheDistorted waveformsHarmonic componentsHall effect devicesIEEE Transactions on Instrumentation and Measurement
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