0000000000074425

AUTHOR

Simone Pozzi

showing 2 related works from this author

Multi-scale analysis of the European airspace using network community detection

2014

We show that the European airspace can be represented as a multi-scale traffic network whose nodes are airports, sectors, or navigation points and links are defined and weighted according to the traffic of flights between the nodes. By using a unique database of the air traffic in the European airspace, we investigate the architecture of these networks with a special emphasis on their community structure. We propose that unsupervised network community detection algorithms can be used to monitor the current use of the airspaces and improve it by guiding the design of new ones. Specifically, we compare the performance of three community detection algorithms, also by using a null model which t…

FOS: Computer and information sciencesDatabases FactualDistributed computingSocial SciencesPoison controllcsh:MedicineSociologycommunity detectionData Mininglcsh:SciencePhysicsMultidisciplinaryMathematical modelApplied MathematicsPhysicsCommunity structureComputer Science - Social and Information NetworksAir traffic controlAir TravelSocial NetworksPhysical SciencesInterdisciplinary PhysicsSocial SystemsEngineering and TechnologyFree flightInformation TechnologyNetwork AnalysisAlgorithmsResearch ArticlePhysics - Physics and SocietyComputer and Information SciencesControl (management)FOS: Physical sciencesComputerApplications_COMPUTERSINOTHERSYSTEMSPhysics and Society (physics.soc-ph)Statistical MechanicsDatabasescomplex networkHumansArchitectureNetworks network communities socio-technical system complex systems Air Traffic ManagementSocial and Information Networks (cs.SI)Null modellcsh:RModels TheoreticalSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Computational SociologySignal ProcessingAir trafficlcsh:QMathematics
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How neurophysiological measures can be used to enhance the evaluation of remote tower solutions

2019

New solutions in operational environments are often, among objective measurements, evaluated by using subjective assessment and judgment from experts. Anyhow, it has been demonstrated that subjective measures suffer from poor resolution due to a high intra and inter-operator variability. Also, performance measures, if available, could provide just partial information, since an operator could achieve the same performance but experiencing a different workload. In this study, we aimed to demonstrate: (i) the higher resolution of neurophysiological measures in comparison to subjective ones; and (ii) how the simultaneous employment of neurophysiological measures and behavioral ones could allow a…

Computer scienceApplied psychologyJudgementElectroencephalographyasSWLDA050105 experimental psychologylcsh:RC321-571Arousal03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineasSWLDA; ECG; EEG; eye blink; GSR; machine learning; mental workload; remote tower air traffic managementRemote Tower Air Traffic Managementmedicine0501 psychology and cognitive sciencesGSREEGlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryOriginal ResearchMental Workloadmedicine.diagnostic_testECG[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesHuman NeuroscienceWorkloadNeurophysiologyAir traffic controlPsychiatry and Mental healthNeuropsychology and Physiological Psychologymachine learningNeurologyDesign processSkin conductance030217 neurology & neurosurgeryEye blink
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