Search results for "complexity"

showing 10 items of 1094 documents

Testing different methodologies for Granger causality estimation: A simulation study

2021

Granger causality (GC) is a method for determining whether and how two time series exert causal influences one over the other. As it is easy to implement through vector autoregressive (VAR) models and can be generalized to the multivariate case, GC has spread in many different areas of research such as neuroscience and network physiology. In its basic formulation, the computation of GC involves two different regressions, taking respectively into account the whole past history of the investigated multivariate time series (full model) and the past of all time series except the putatively causal time series (restricted model). However, the restricted model cannot be represented through a finit…

Multivariate statisticsstate space modelsSeries (mathematics)Computer scienceGranger causality; state space modelsDynamical NetworksMultivariate Time SeriesReduction (complexity)Autoregressive modelGranger causalitySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityState spaceConditioningTime seriesVector Autoregressive ProcessesAlgorithm2020 28th European Signal Processing Conference (EUSIPCO)
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Search for supersymmetric particles in scenarios with a gravitino LSP and stau NLSP

2000

Sleptons, neutralinos and charginos were searched for in the context of scenarios where the lightest supersymmetric particle is the gravitino. It was assumed that the stau is the next-to-lightest supersymmetric particle. Data collected with the DELPHI detector at a centre-of-mass energy near 189 GeV were analysed combining the methods developed in previous searches at lower energies. No evidence for the production of these supersymmetric particles was found. Hence, limits were derived at 95% confidence level.

NEUTRALINOSParticle physicsPhysics and Astronomy (miscellaneous)LOWEST ORDER CALCULATIONSPAIR PRODUCTIONENERGIESMONTE-CARLO SIMULATIONpluridisciplinarityFOS: Physical sciences2-PHOTON PROCESSESContext (language use)01 natural sciencesLightest Supersymmetric ParticlePartícules (Física nuclear)High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)E(+)E(-) COLLISIONS0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]RADIATIVE-CORRECTIONSontology010306 general physicsEngineering (miscellaneous)DELPHIPhysics010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyreflexivityLEPscience studiesepistemologieLARGE ELECTRON POSITRON COLLIDERhistory of sciencePARTICLE PHYSICS; LARGE ELECTRON POSITRON COLLIDER; DELPHIMONTE-CARLO SIMULATION; LOWEST ORDER CALCULATIONS; RADIATIVE-CORRECTIONS; PAIR PRODUCTION; E(+)E(-) COLLISIONS; 2-PHOTON PROCESSES; ENERGIES; BREAKING; LEP; NEUTRALINOSParticlePARTICLE PHYSICSGravitinoFísica nuclearHigh Energy Physics::ExperimentcomplexityParticle Physics - ExperimentBREAKING
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Progreso, complejidad y evolución

2020

Ensayos en honor de Eloy Rada. [ES]: El progreso biológico es un tema ampliamente debatido en biología evolutiva que tiene partidarios y detractores. Sin embargo, no es una cuestión, a pesar de su importancia, de la que podamos afirmar que está resuelta desde el punto de vista científico. En este trabajo presento un análisis del concepto basado en la teoría de la evolución por selección natural, sus paralelismos con el también debatido concepto de “progreso” en la historia de la humanidad y, finalmente, se intenta orientarlo hacia formas accesibles a la investigación científica. Para ello, en lugar del concepto de progreso, recurro al de “complejidad biológica”. Si tenemos formas de medirla…

Natural selectionEvolutionary progressSelección naturalNatural selectionPerspective (graphical)ComplejidadComplexityEpistemologyProgreso evolutivoPhilosophyProgresoBiological evolutionHumanityProgressEvolución biológicaProduct (category theory)SociologyParallelsSimple (philosophy)
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Complexity of operations on cofinite languages

2010

International audience; We study the worst case complexity of regular operation on cofinite languages (i.e., languages whose complement is finite) and provide algorithms to compute efficiently the resulting minimal automata.

Nested wordTheoretical computer scienceSettore INF/01 - Informaticaautomata[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]regular operationReDoSComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technologyDescriptive complexity theorystate complexity01 natural sciencesComplement (complexity)Deterministic finite automaton010201 computation theory & mathematicsTheory of computation0202 electrical engineering electronic engineering information engineeringComputer Science::Programming LanguagesQuantum finite automata020201 artificial intelligence & image processingNondeterministic finite automatoncofinite languageMathematics
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Economie assessments on the use of wired and wireless recharging systems in Italian and European market

2017

The conductive charging method for the electric vehicles is the most widespread, since it is the simplest and has higher returns. In the last years, alternative charging technologies have been investigated. Between these wireless charging systems have been large diffusion and have been commercialized by some manufacturer. Wireless charging systems for electric vehicles have some advantages respect the wired ones, not obliging the user to connect physically the vehicle to the electric charging station. Assuming the efficiency declared by the manufacturer of wireless systems the authors, in this paper, estimate the maximum cost that wireless recharging systems can have to be, however, more fa…

Net Present ValueComputer scienceBiomedical EngineeringEnergy Engineering and Power Technology02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciInductive chargingNet present valueMaintenance engineeringCharging stationReduction (complexity)Order (exchange)Economic indexewireless recharging systems0202 electrical engineering electronic engineering information engineeringWireless0501 psychology and cognitive sciencesRenewable Energy050107 human factorsSustainability and the Environmentbusiness.industryRenewable Energy Sustainability and the Environment05 social sciencesrecharging columns020206 networking & telecommunicationsrecharging columnefficiencywireless recharging systemeconomic indexesValue (economics)economic indexes; efficiency; Net Present Value; recharging columns; wireless recharging systems; Energy Engineering and Power Technology; Biomedical Engineering; Renewable Energy Sustainability and the EnvironmentTelecommunicationsbusiness
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ChemInform Abstract: Nb2Te3, a Niobium Sesquitelluride with Te22- Groups.

2010

The new binary compound Nb2Te3 was synthesized by reduction of NbTe2 with Ga metal; different from the formally analogous Ta2Te3 it crystallizes in the Mo2As3 structure type; based on the results of band structure calculations Nb2Te3 is metallic with quasi one-dimensional metal electronic properties.

NiobiumBinary compoundchemistry.chemical_elementGeneral MedicineStructure typeReduction (complexity)Metalchemistry.chemical_compoundchemistryvisual_artvisual_art.visual_art_mediumPhysical chemistryCondensed Matter::Strongly Correlated ElectronsElectronic band structureElectronic propertiesChemInform
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Robust adaptive algorithm with low computational cost

2006

An adaptive algorithm, which is robust to impulsive noise, is proposed. The cost function underlying this algorithm contains a parameter that controls the immunity to impulsive noise and can be easily adapted. Moreover, weight updating involves a nonlinear function, which recently has been shown to have an efficient hardware implementation. The proposed adaptive algorithm has been successfully tested in terms of accuracy and convergence on a system-identification simulation.

NoiseSignal processingComputational complexity theoryRate of convergenceAdaptive algorithmControl theoryConvergence (routing)System identificationFunction (mathematics)Electrical and Electronic EngineeringAlgorithmMathematicsElectronics Letters
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LCRT: A ToA Based Mobile Terminal Localization Algorithm in NLOS Environment

2009

©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Article also available from publisher: http://dx.doi.org/10.1109/VETECS.2009.5073644 Non line-of-sight (NLOS) propagation in range measurement is a key problem for mobile terminal localization. This paper proposes a low computational residual test (LCRT) algorithm that can identify the number of line-of-sight (LOS) transmissions and reduce the computational com…

Non-line-of-sight propagationTime of arrivalComputational complexity theoryVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Range (statistics)Probability density functionResidualCramér–Rao boundAlgorithmUpper and lower boundsMathematics
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Identification of Spatial-Temporal Muscle Synergies from EMG Epochs of Various Durations: A Time-Warped Tensor Decomposition

2018

Extraction of muscle synergies from electromyography (EMG) recordings relies on the analysis of multi-trial muscle activation data. To identify the underlying modular structure, dimensionality reduction algorithms are usually applied to the EMG signals. This process requires a rigid alignment of muscle activity across trials that is typically achieved by the normalization of the length of each trial. However, this time-normalization ignores important temporal variability that is present on single trials as result of neuromechanical processes or task demands. To overcome this limitation, we propose a novel method that simultaneously aligns muscle activity data and extracts spatial and tempor…

Normalization (statistics)medicine.diagnostic_testbusiness.industryComputer scienceDimensionality reductionProcess (computing)Pattern recognitionElectromyographyTemporal muscleTask (project management)Identification (information)medicineArtificial intelligencebusinessTime complexity
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Measurement of the Mass Difference m(B0) - m(B+)

2008

Using 230 million B Bbar events recorded with the BABAR detector at the e+ e- storage rings PEP-II, we reconstruct approximately 4100 B0 to J/psi K+ pi- and 9930 B+ to J/psi K+ decays with J/psi to mu+ mu- and e+ e-. From the measured B-momentum distributions in the e+ e- rest frame, we determine the mass difference m(B0) - m(B+) = (+0.33 +- 0.05 +- 0.03) MeV/c^2.

Nuclear and High Energy PhysicsBABARFOS: Physical sciencesNEUTRAL BPARTICLE PHYSICS; PEP2; BABAR01 natural sciencesHigh Energy Physics - ExperimentNuclear physicsParticle decayHigh Energy Physics - Experiment (hep-ex)TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYCHARGED B0103 physical sciencesPEP2[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]B MESON; MASS DIFFERENCE; CHARGED B; NEUTRAL BMASS DIFFERENCE010306 general physicsPhysics010308 nuclear & particles physicsParticle physicsBABAR detectorHEPCrystallographyB MESONBaBarPARTICLE PHYSICS13.25.Hw 13.40.Dk 14.40.NdFísica de partículesExperiments
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