Search results for "NETWORKS"

showing 10 items of 3260 documents

Performance potential for simulating spin models on GPU

2012

Graphics processing units (GPUs) are recently being used to an increasing degree for general computational purposes. This development is motivated by their theoretical peak performance, which significantly exceeds that of broadly available CPUs. For practical purposes, however, it is far from clear how much of this theoretical performance can be realized in actual scientific applications. As is discussed here for the case of studying classical spin models of statistical mechanics by Monte Carlo simulations, only an explicit tailoring of the involved algorithms to the specific architecture under consideration allows to harvest the computational power of GPU systems. A number of examples, ran…

Spin glassPhysics and Astronomy (miscellaneous)Computer scienceMonte Carlo methodFOS: Physical sciencesComputational scienceCUDAHigh Energy Physics - LatticeStatistical physicsGraphicsCondensed Matter - Statistical MechanicsNumerical AnalysisStatistical Mechanics (cond-mat.stat-mech)Applied MathematicsHigh Energy Physics - Lattice (hep-lat)RangingStatistical mechanicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksComputational Physics (physics.comp-ph)Computer Science ApplicationsComputational MathematicsModeling and SimulationIsing modelParallel temperingPhysics - Computational Physics
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Towards peptide-based tunable multistate memristive materials

2021

Development of new memristive hardware is a technological requirement towards widespread neuromorphic computing. Molecular spintronics seems to be a fertile field for the design and preparation of this hardware. Within molecular spintronics, recent results on metallopeptides demonstrating the interaction between paramagnetic ions and the chirality induced spin selectivity effect hold particular promise for developing fast (ns–μs) operation times. [R. Torres-Cavanillas et al., J. Am. Chem. Soc., 2020, DOI: 10.1021/jacs.0c07531]. Among the challenges in the field, a major highlight is the difficulty in modelling the spin dynamics in these complex systems, but at the same time the use of inexp…

SpintronicsSpin dynamicsBase SequenceComputer scienceUNESCO::QUÍMICAComplex systemGeneral Physics and AstronomyNanotechnology02 engineering and technologyMemristor010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesLanthanoid Series Elements:QUÍMICA [UNESCO]0104 chemical scienceslaw.inventionNeuromorphic engineeringlawMetalloproteinsAmino Acid SequenceNeural Networks ComputerPhysical and Theoretical Chemistry0210 nano-technologyPeptides
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Interference excision algorithm for frequency hopping spread spectrum based on undecimated wavelet packet transform

2002

An algorithm for reducing narrowband interference effects in frequency hopping spread spectrum is presented. The method is based on the undecimated wavelet packet transform. It improves the performance obtained by other methods. Experimental results demonstrate the suitability of the algorithm.

Spread spectrumInterference excisionComputer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSComputer Science::Networking and Internet ArchitectureElectronic engineeringFrequency-hopping spread spectrumElectrical and Electronic EngineeringAlgorithmWavelet packet decompositionElectronics Letters
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About the Stability of Active Queue Management Mechanism

2004

In this paper, we discuss the influence of multiple bottlenecks on the stability of Active Queue Management (AQM) controllers, usually configured on a single bottleneck basis. To see this, we consider a network scenario where RED is configured at each router according to previously developed control theoretic techniques. These configuration rules assure stability in a single bottleneck scenario. Yet, we show that instability may arise when two links become congested. We justify this result through a multiple bottleneck model.

Stability analysis Communication Networks Control Theory
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AQM Generalized Nyquist stability in multiple bottlenecks networks

2005

The influence of multiple bottlenecks on the stability of Active Queue Management (AQM) controllers, usually configured on a single bottleneck basis is discussed. We consider a network scenario where RED is configured at each router according to previously developed control theoretic techniques. These configuration rules assure stability in a single bottleneck scenario. We show that instability may arise when two links become congested. We justify this result through a multiple bottleneck model using the Generalized Nyquist stability criterion.

Stability analysis Communication Networks Control Theory
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Finite-time stability analysis and stabilization for linear discrete-time system with time-varying delay

2014

Abstract The problem of finite-time stability for linear discrete-time systems with time-varying delay is studied in this paper. In order to deal with the time delay, the original system is firstly transformed into two interconnected subsystems. By constructing a delay-dependent Lyapunov–Krasovskii functional and using a two-term approximation of the time-varying delay, sufficient conditions of finite-time stability are derived and expressed in terms of linear matrix inequalities (LMIs). The derived stability conditions can be applied into analyzing the finite-time stability and deriving the maximally tolerable delay. Compared with the existing results on finite-time stability, the derived …

Stability conditionsDiscrete time systemComputer Networks and CommunicationsControl and Systems EngineeringControl theoryApplied MathematicsSignal ProcessingLinear matrixFinite timeControl and Systems Engineering; Signal Processing; Computer Networks and Communications; Applied MathematicsStability (probability)MathematicsJournal of the Franklin Institute
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INTER-ORGANIZATIONAL NETWORKS FOR INNOVATIONS AND SUSTAINABILITY

2021

The present Thesis is structured as a collection of three essays linked by one core idea: contributing to research knowledge on inter-organizational network dynamics in the context of innovation and the promotion of sustainability. In this Thesis, the author takes a systemic perspective and analyses the interactions between diverse groups of stakeholders, aiming to identify and interpret the logic underlying the formation of inter-organizational partnerships to promote innovation and sustainability. The dynamics of inter-organizational networks are influenced by several internal and external factors, such as strategic cooperation with stakeholders, structural changes (such as an R&I policy …

StakeholdersFramework programPolicySustainabilityPath dependenceSustainable innovationHealthcare sectorNetwork analysisPublic-private partnershipsSettore SECS-P/08 - Economia E Gestione Delle ImpreseInter-organizational networksCoronavirus (COVID-19)
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VLPZ: The Vehicular Location Privacy Zone

2016

International audience; One of the key challenges in the success of vehicular ad hoc networks (VANETs) is to consider the location privacy of drivers. Although, the pseudonym changing approach is suggested by standardization development organizations such as IEEE and ETSI, the development of an effective pseudonym changing strategy is still an open issue. The existing pseudonym changing strategies are either not effective to protect against the pseudonyms linking attacks or can have a negative impact on the VANETs’ applications. To address these issues, this paper proposes a new pseudonym changing strategy based on the Vehicular Location Privacy Zone (VLPZ), which is a roadside infrastructu…

StandardizationComputer scienceWireless ad hoc networkSecurity.02 engineering and technologyPseudonymComputer securitycomputer.software_genre[SPI]Engineering Sciences [physics]0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringVANETsGeneral Environmental ScienceLocation privacybiologybusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020302 automobile design & engineering020206 networking & telecommunicationsPseudonym ChangingTollMetric (mathematics)biology.proteinKey (cryptography)SecurityGeneral Earth and Planetary SciencesComputingMilieux_COMPUTERSANDSOCIETYbusinesscomputerAnonymityComputer network
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Measurement of the single-top-quark production cross section at CDF.

2008

We report a measurement of the single top quark production cross section in 2.2 ~fb-1 of p-pbar collision data collected by the Collider Detector at Fermilab at sqrt{s}=1.96 TeV. Candidate events are classified as signal-like by three parallel analyses which use likelihood, matrix element, and neural network discriminants. These results are combined in order to improve the sensitivity. We observe a signal consistent with the standard model prediction, but inconsistent with the background-only model by 3.7 standard deviations with a median expected sensitivity of 4.9 standard deviations. We measure a cross section of 2.2 +0.7 -0.6(stat+sys) pb, extract the CKM matrix element value |V_{tb}|=0…

StandardsTop quarkParticle physicsFOS: Physical sciencesGeneral Physics and Astronomyddc:500.2Astrophysics::Cosmology and Extragalactic Astrophysics114 Physical sciences01 natural sciencesStandard ModelHigh Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment (hep-ex)Tellurium compoundsMatrix elementsCross section (physics)Colliding beam acceleratorsStandard deviations0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Sensitivity (control systems)010306 general physicsStandard models14.65.Ha 13.85Qk 12.15Hh 12.15.JiPhysicshep-ex010308 nuclear & particles physicsCabibbo–Kobayashi–Maskawa matrixPhysicsStatisticsHigh Energy Physics::PhenomenologyOrder (ring theory)Collider Detector at FermilabCross sections_Parallel analysisProduction (computer science)High Energy Physics::ExperimentCollider Detector at FermilabNeural networksQuark productions
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Descriptor-type Kalman Filter and TLS EXIN Speed Estimate for Sensorless Control of a Linear Induction Motor.

2014

This paper proposes a speed observer for linear induction motors (LIMs), which is composed of two parts: 1) a linear Kalman filter (KF) for the online estimation of the inductor currents and induced part flux linkage components; and 2) a speed estimator based on the total least squares (TLS) EXIN neuron. The TLS estimator receives as inputs the state variables, estimated by the KF, and provides as output the LIM linear speed, which is fed back to the KF and the control system. The KF is based on the classic space-vector model of the rotating induction machine. The end effects of the LIMs have been considered an uncertainty treated by the KF. The TLS EXIN neuron has been used to compute, in …

State variableEngineeringObserver (quantum physics)neural networks (NNs)linear induction motor controlLinear Induction Motor (LIM) Kalman Filter Total Least-Squares Neural Networks.Industrial and Manufacturing EngineeringSettore ING-INF/04 - AutomaticaKalman filter (KF)Control theorylinear induction motor (LIM)state estimationElectrical and Electronic EngineeringTotal least squaresAlpha beta filterArtificial neural networkbusiness.industryEstimatorKalman filterLinear motorFlux linkagetotal least squares (TLS)Control and Systems EngineeringLinear induction motorbusinessInduction motor
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