Search results for "network"

showing 10 items of 7718 documents

Experimental on-demand recovery of entanglement by local operations within non-Markovian dynamics

2015

In many applications entanglement must be distributed through noisy communication channels that unavoidably degrade it. Entanglement cannot be generated by local operations and classical communication (LOCC), implying that once it has been distributed it is not possible to recreate it by LOCC. Recovery of entanglement by purely local control is however not forbidden in the presence of non-Markovian dynamics, and here we demonstrate in two all-optical experiments that such entanglement restoration can even be achieved on-demand. First, we implement an open-loop control scheme based on a purely local operation, without acquiring any information on the environment; then, we use a closed-loop s…

non-Markovian dynamicsComputer scienceFOS: Physical sciencesMarkov processQuantum entanglementquantum entanglementTopologyArticleSettore FIS/03 - Fisica Della MateriaMultidisciplinary; quantum information; quantum entanglement; open quantum systemsEntanglementsymbols.namesakeNon Markovian dynamicsquantum informationOn demandquantum opticsQuantumQuantum networkLOCCQuantum PhysicsEntanglement entanglement recovery non-Markovian dynamicsMultidisciplinaryHidden entanglementTheoryofComputation_GENERALQuantum Physicsopen quantum systemsOutcome (probability)Dynamics (music)Hidden entanglement non-Markovian dynamics quantum optics quantum informationsymbolsQuantum Physics (quant-ph)entanglement recoveryScientific Reports
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Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algo…

2019

Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stages of maturation were taken in a laboratory. They were used to generate an SOFM neural topological map with centres of concentration of the classified cases. The radial neurons on the map were adequately labelled to represent five suggested quality classes describing the degree of maturation of the composted organic matter. This enabled the creation of a neural separator classify…

non-parametric classificationComputer science020209 energyHealth Toxicology and Mutagenesislcsh:Medicine02 engineering and technology010501 environmental sciencesengineering.material01 natural sciencesArticleDigital imageSoftwareArtificial Intelligence0202 electrical engineering electronic engineering information engineeringLearningTopological map0105 earth and related environmental sciencesLVQ algorithmLearning vector quantizationArtificial neural networkSOFM neural networkCompostbusiness.industryCompostinglcsh:RPublic Health Environmental and Occupational Health<i>LVQ</i> algorithmengineeringNeural Networks ComputerbusinessClassifier (UML)AlgorithmAlgorithmsSoftwareInternational Journal of Environmental Research and Public Health
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Four essays on IT users' psychological states and behaviors

2016

This dissertation is intended to study information technology (IT) users’ psychological states and behaviors. It consists of four essays. The first essay examines how people react to social networking services (SNS). In this essay, we attempted to extend the existing model, which includes dedication- and constraint-based mechanisms, by additionally including the obligation-based mechanism underlying SNS-related behavior. The second essay is designed to investigate individuals’ smartphone use. In particular, we focused on the role of smartphone addiction in shaping individuals’ perceptions about their smartphone. The third essay is about online community behavior. Drawing on the model of eng…

non-work-related computingverkkoyhteisötsosiaalinen mediasitoutuminennettiriippuvuusonline communitiesälypuhelimetsmartphone addictionsocial networking services (SNS)käyttäytymismallitriippuvuusajankäyttötyytyväisyystyöntekijätkäyttäytyminen
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Wiener-Granger Causality in Network Physiology with Applications to Cardiovascular Control and Neuroscience

2016

Since the operative definition given by C. W. J. Granger of an idea expressed by N. Wiener, the Wiener–Granger causality (WGC) has been one of the most relevant concepts exploited by modern time series analysis. Indeed, in networks formed by multiple components, working according to the notion of segregation and interacting with each other according to the principle of integration, inferring causality has opened a window on the effective connectivity of the network and has linked experimental evidences to functions and mechanisms. This tutorial reviews predictability improvement, information-based and frequency domain methods for inferring WGC among physiological processes from multivariate…

nonlinear dynamicComputer scienceReliability (computer networking)Biomedical signal processingPhysiologyCardiovascular controldynamical systemdirectionalityGranger causalitymultivariate regression modelingtime series analysiPredictabilityTime seriesElectrical and Electronic EngineeringStatistical hypothesis testingbusiness.industryheart rate variabilitytransfer entropypartial directed coherencepredictioncoupling strengthCausalityconditional mutual informationFrequency domainspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaArtificial intelligencebusinesscomplexityNeuroscience
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Theoretical and experimental study of two discrete coupled Nagumo chains

2001

We analyze front wave (kink and antikink) propagation and pattern formation in a system composed of two coupled discrete Nagumo chains using analytical and numerical methods. In the case of homogeneous interaction among the chains, we show the possibility of the effective control on wave propagation. In addition, physical experiments on electrical chains confirm all theoretical behaviors.

nonlinear dynamicsNagumoneural network[NLIN.NLIN-PS] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][SPI.TRON] Engineering Sciences [physics]/Electronics[PHYS.COND.CM-DS-NN] Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]
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Impact of Status and Meme Content on the Spread of Memes in Virtual Communities

2015

We examined the influence of meme consistency (vs. inconsistency) and intragroup status on the spread of memes in virtual communities. Prior research suggests that information consistent with the theme of the group is remembered better and that ideas threatening to the group identity are rejected. In addition, previous research shows that low-status group members mimic high-status members and communicate with them to seek information and approval. We analyzed social interactions among members of four online forums from January 1, 2010, to February 21, 2014. Contrary to our prediction, our results show that memes initiated by low-status members spread faster than memes started by high- or mo…

norminfluencesocial networkmemecomputer-mediated communicationstatus
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A note on normalization schemes: The case of generalized forecast error variance decompositions

2016

The aim of this paper is to propose new normalization schemes for the values obtained from the generalized forecast error variance decomposition, in order to obtain more reliable net spillover measures. We provide a review of various matrix normalization schemes used in different application domains. The intention is to contribute to the financial econometrics literature aimed at building a bridge between different approaches able to detect spillover effects, such as spatial regressions and network analyses. Considering DGPs characterized by different degrees of correlation and persistence, we show that the popular row normalization scheme proposed by Diebold and Yilmaz (2012), as well as t…

normalization schemes forecast error variance decomposition spillover networks spatial econometrics VARspatial econometricsspillovernetworksSettore SECS-P/05 - Econometrianormalization schemes forecast error variance decomposition spillover networksforecast error variance decompositionVARnormalization schemes
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Shape staggering of midshell mercury isotopes from in-source laser spectroscopy compared with density-functional-theory and Monte Carlo shell-model c…

2019

Neutron-deficient Hg177-185 isotopes were studied using in-source laser resonance-ionization spectroscopy at the CERN-ISOLDE radioactive ion-beam facility in an experiment combining different detection methods tailored to the studied isotopes. These include either α-decay tagging or multireflection time-of-flight gating for isotope identification. The endpoint of the odd-even nuclear shape staggering in mercury was observed directly by measuring for the first time the isotope shifts and hyperfine structures of Hg177-180. Changes in the mean-square charge radii for all mentioned isotopes, magnetic dipole, and electric quadrupole moments of the odd-A isotopes and arguments in favor of I=7/2 s…

nucl-thNuclear Theory[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]3106ResearchInstitutes_Networks_Beacons/photon_science_instituteharmonic-oscillator basisMonte Carlo methodFOS: Physical sciencesPhoton Science Institute[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]nucl-exNuclear Structure01 natural sciences7. Clean energyodd-massNuclear Theory (nucl-th)Atomic orbitalCharge radius0103 physical sciencesNuclear Physics - ExperimentDalton Nuclear InstituteNeutronneutron-deficient hgNuclear Experiment (nucl-ex)nuclear charge-distribution010306 general physicsNuclear ExperimentNuclear ExperimentHyperfine structurePhysics010308 nuclear & particles physicsGénéralitésexcited structuresstatesResearchInstitutes_Networks_Beacons/dalton_nuclear_institutehyperfine-structure13. Climate actionNuclear Physics - Theoryoblate-prolate transitionaxially deformed solutionQuadrupolemomentsDensity functional theoryAtomic physicsPräzisionsexperimente - Abteilung BlaumMagnetic dipole
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En métal et en céramique. Production, imitation, circulation des oenochoés « rhodiennes » entre la Méditerranée, l’Italie et les communautés no…

2019

At present there is no study taking into account these classe of containers, in different materials and in such a vast geographical area. It is necessary to relate the different productions of these classe of vases, from prototypes to local imitations, in order to understand the role of these products in similar or different contexts. The objective is to approach the contacts between Italy, the Mediterranean and the northern Alpine communities from different aspects:- first of all from the productions and the technical aspects,- then by the identification and in-depth study of the local imitations of these receptacles,- second, by the circulation of imported objects (routes and nature of tr…

oenochoé "rhodienne"[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory"rhodian" jugnetworkspratiques rituellesréseauxproductionritual practicesimitation
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Seizure Prediction Using EEG Channel Selection Method

2022

Seizure prediction using intracranial electroencephalogram (iEEG) is still challenging because of complicated signals in spatial and time domains. Feature selection in the spatial domain (i.e., channel selection) has been largely ignored in this field. Hence, in this paper, a novel approach of iEEG channel selection strategy combined with one-dimensional convolutional neural networks (1D-CNN) was presented for seizure prediction. First, 15-sec and 30-sec iEEG segments with an increasing number of channels (from one channel to all channels) were sequentially fed into 1D-CNN models for training and testing. Then, the channel case with the best classification rate was selected for each partici…

one-dimensional convolutional neural networks (1D-CNN)channel selectionintracranial electroencephalogram (iEEG)koneoppiminensignaalinkäsittelyseizure predictionsairauskohtauksetepilepsysignaalianalyysineuroverkotEEGepilepsia
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