Search results for "Miss"

showing 10 items of 6417 documents

Edge-Based Missing Data Imputation in Large-Scale Environments

2021

Smart cities leverage large amounts of data acquired in the urban environment in the context of decision support tools. These tools enable monitoring the environment to improve the quality of services offered to citizens. The increasing diffusion of personal Internet of things devices capable of sensing the physical environment allows for low-cost solutions to acquire a large amount of information within the urban environment. On the one hand, the use of mobile and intermittent sensors implies new scenarios of large-scale data analysis

010504 meteorology & atmospheric sciencesComputer scienceDistributed computingUrban sensingMobile sensingContext (language use)Information technology02 engineering and technology01 natural sciences[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Smart cityEdge intelligence11. Sustainability0202 electrical engineering electronic engineering information engineeringLeverage (statistics)Edge computingVoronoi tessellation0105 earth and related environmental sciencesSmart cityOut-of-order executionSettore INF/01 - InformaticaMulti-agent systemMissing data imputation020206 networking & telecommunicationsT58.5-58.64Variety (cybernetics)Multi-agent system[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Mobile deviceInformation Systems
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Estimating Missing Information by Cluster Analysis and Normalized Convolution

2018

International audience; Smart city deals with the improvement of their citizens' quality of life. Numerous ad-hoc sensors need to be deployed to know humans' activities as well as the conditions in which these actions take place. Even if these sensors are cheaper and cheaper, their installation and maintenance cost increases rapidly with their number. We propose a methodology to limit the number of sensors to deploy by using a standard clustering technique and the normalized convolution to estimate environmental information whereas sensors are actually missing. In spite of its simplicity, our methodology lets us provide accurate assesses.

010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subjectReal-time computingEnergy Engineering and Power Technology02 engineering and technologyIterative reconstructionsmart city dealsCluster (spacecraft)01 natural sciencesIndustrial and Manufacturing Engineeringnormalized convolutionstandard clustering technique[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ConvolutionArtificial IntelligenceSmart city11. Sustainability0202 electrical engineering electronic engineering information engineeringLimit (mathematics)SimplicityCluster analysisInstrumentationad-hoc sensors0105 earth and related environmental sciencesmedia_commonSettore INF/01 - InformaticaRenewable Energy Sustainability and the EnvironmentComputer Science Applications1707 Computer Vision and Pattern Recognitionenvironmental informationmissing informationComputer Networks and CommunicationKernel (image processing)020201 artificial intelligence & image processingcluster analysis2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Relations between Air Quality and Covid-19 Lockdown Measures in Valencia, Spain

2021

The set of measures to contain the diffusion of COVID-19 instituted by the European governments gave an unparalleled opportunity to improve our understanding of the transport and industrial sectors’ contribution to urban air pollution. The purpose of this study was to assess the impacts of the lockdown measures on air quality and pollutant emissions in Valencia, Spain. For this reason, we determined if there was a significant difference in the concentration levels of different particulate matter (PM) sizes, PM10, PM2.5, and NOx, NO2, NO, and O3, between the period of restrictions in 2020 and the same period in 2019. Our findings indicated that PM pollutant levels during the lockdown period…

010504 meteorology & atmospheric sciencesCoronavirus disease 2019 (COVID-19)Pollutant emissionsHealth Toxicology and Mutagenesisair pollutionAir pollutionlcsh:Medicine010501 environmental sciencesmedicine.disease_cause01 natural sciencesArticleToxicologylockdownmedicineHumansValenciaAir quality index0105 earth and related environmental sciencesPollutantbiologyparticulate matter (pm)Significant differencelcsh:RPublic Health Environmental and Occupational HealthParticulatesbiology.organism_classificationnitrogen oxidesozoneSpainCommunicable Disease ControlEnvironmental scienceParticulate MatterCovid-19Environmental MonitoringInternational Journal of Environmental Research and Public Health
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Dukono, the predominant source of volcanic degassing in Indonesia, sustained by a depleted Indian-MORB

2017

Co-auteur étranger; International audience; Located on Halmahera island, Dukono is among the least known volcanoes in Indonesia. A compilation of the rare available reports indicates that this remote and hardly accessible volcano has been regularly in eruption since 1933, and has undergone nearly continuous eruptive manifestation over the last decade. The first study of its gas emissions, presented in this work, highlights a huge magmatic volatile contribution into the atmosphere, with an estimated annual output of about 290 kt of SO2, 5000 kt of H2O, 88 kt of CO2, 5 kt of H2S and 7 kt of H2. Assuming these figures are representative of the long-term continuous eruptive activity, then Dukon…

010504 meteorology & atmospheric sciencesDepleted mantle sourceLavaEarth sciencedegassing budget[ SDU.STU.VO ] Sciences of the Universe [physics]/Earth Sciences/Volcanology010502 geochemistry & geophysics01 natural sciencesMantle (geology)Geochemistry and Petrology[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistryevolution[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/VolcanologyDukono VolcanoSedimentologyComputingMilieux_MISCELLANEOUSMagma source0105 earth and related environmental sciencesDukono volcanogeographygeography.geographical_feature_categorySubductionGas emissionsmagma source evolution[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/GeochemistryVolcanodepleted mantle sourceDegassing budget13. Climate actionGeology
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A dust-enshrouded tidal disruption event with a resolved radio jet in a galaxy merger

2018

Tidal disruption events (TDEs) are transient flares produced when a star is ripped apart by the gravitational field of a supermassive black hole (SMBH). We have observed a transient source in the western nucleus of the merging galaxy pair Arp 299 that radiated >1.5 × 10 erg at infrared and radio wavelengths but was not luminous at optical or x-ray wavelengths. We interpret this as a TDE with much of its emission reradiated at infrared wavelengths by dust. Efficient reprocessing by dense gas and dust may explain the difference between theoretical predictions and observed luminosities of TDEs. The radio observations resolve an expanding and decelerating jet, probing the jet formation and evol…

010504 meteorology & atmospheric sciencesGeneral Science & TechnologyInfraredAstronomyAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysicsGalaxy merger01 natural sciencesTidal disruption eventGravitational fieldMD Multidisciplinary0103 physical sciencesAstrophysics::Solar and Stellar AstrophysicsCOREBLACK-HOLES010303 astronomy & astrophysicsAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsJet (fluid)Supermassive black holeta115Science & TechnologyMultidisciplinaryAstrophysics - Astrophysics of GalaxiesGalaxyMultidisciplinary SciencesWavelengthAstrophysics of Galaxies (astro-ph.GA)Science & Technology - Other TopicsAstrophysics::Earth and Planetary AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaEMISSIONSTARS
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Exploiting Maximum Entropy method and ASTER data for assessing debris flow and debris slide susceptibility for the Giampilieri catchment (north-easte…

2016

This study aims at evaluating the performance of the Maximum Entropy method in assessing landslide susceptibility, exploiting topographic and multispectral remote sensing predictors. We selected the catchment of the Giampilieri stream, which is located in the north-eastern sector of Sicily (southern Italy), as test site. On 1 October 2009, a storm rainfall triggered in this area hundreds of debris flow/avalanche phenomena causing extensive economical damage and loss of life. Within this area a presence-only-based statistical method was applied to obtain susceptibility models capable of distinguishing future activation sites of debris flow and debris slide, which where the main source of fai…

010504 meteorology & atmospheric sciencesGeography Planning and DevelopmentMultispectral imageLandslideLand cover010502 geochemistry & geophysics01 natural sciencesDebrisMultispectral pattern recognitionDebris flowAdvanced Spaceborne Thermal Emission and Reflection RadiometerEarth and Planetary Sciences (miscellaneous)Digital elevation modelGeology0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingEarth Surface Processes and Landforms
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IceCube Search for High-Energy Neutrino Emission from TeV Pulsar Wind Nebulae

2020

Pulsar wind nebulae (PWNe) are the main gamma-ray emitters in the Galactic plane. They are diffuse nebulae that emit nonthermal radiation. Pulsar winds, relativistic magnetized outflows from the central star, shocked in the ambient medium produce a multiwavelength emission from the radio through gamma-rays. Although the leptonic scenario is able to explain most PWNe emission, a hadronic contribution cannot be excluded. A possible hadronic contribution to the high-energy gamma-ray emission inevitably leads to the production of neutrinos. Using 9.5 yr of all-sky IceCube data, we report results from a stacking analysis to search for neutrino emission from 35 PWNe that are high-energy gamma-ray…

010504 meteorology & atmospheric sciencesHigh-energy astronomyAstrophysics::High Energy Astrophysical PhenomenaNeutrino astronomy; High energy astrophysicsFOS: Physical sciencesCosmic rayAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciences7. Clean energyPulsar0103 physical sciences010303 astronomy & astrophysicsAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEAstronomy and AstrophysicsGalactic planeCOSMIC-RAYSCRAB-NEBULACrab NebulaPhysics and AstronomyNeutrino astronomy13. Climate actionSpace and Planetary ScienceGALACTIC SOURCESDISCOVERYPhysique des particules élémentairesHigh Energy Physics::ExperimentNeutrinoNeutrino astronomyAstrophysics - High Energy Astrophysical PhenomenaHigh energy astrophysicsGAMMA-RAY EMISSIONLepton
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A search for time-dependent astrophysical neutrino emission with IceCube data from 2012 to 2017

2020

Abstract High-energy neutrinos are unique messengers of the high-energy universe, tracing the processes of cosmic ray acceleration. This paper presents analyses focusing on time-dependent neutrino point-source searches. A scan of the whole sky, making no prior assumption about source candidates, is performed, looking for a space and time clustering of high-energy neutrinos in data collected by the IceCube Neutrino Observatory between 2012 and 2017. No statistically significant evidence for a time-dependent neutrino signal is found with this search during this period, as all results are consistent with the background expectation. Within this study period, the blazar 3C 279, showed strong var…

010504 meteorology & atmospheric sciencesHigh-energy astronomyAstrophysics::High Energy Astrophysical Phenomenamedia_common.quotation_subjectmodel [emission]FOS: Physical sciencesCosmic rayAstrophysics01 natural scienceslaw.inventionIceCube Neutrino ObservatoryIceCubeblazarlawemission [gamma ray]0103 physical sciencesCosmic ray sources; High-energy astrophysics; Particle astrophysicsenergy: high [neutrino]Blazar010303 astronomy & astrophysics0105 earth and related environmental sciencesmedia_commonHigh Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEAstroparticle physicsPhysicsbackgroundAstronomy and AstrophysicsCosmic ray sourcesUniverseHigh-energy astrophysicsmessengerobservatorySpace and Planetary Scienceddc:520time dependenceacceleration [cosmic radiation]NeutrinoAstrophysics - High Energy Astrophysical PhenomenaParticle astrophysicsFlare
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Reaction path models of magmatic gas scrubbing

2016

Gas-water-rock reactions taking place within volcano-hosted hydrothermal systems scrub reactive, water-soluble species (sulfur, halogens) from the magmatic gas phase, and as such play a major control on the composition of surface gas manifestations. A number of quantitative models of magmatic gas scrubbing have been proposed in the past, but no systematic comparison of model results with observations from natural systems has been carried out, to date. Here, we present the results of novel numerical simulations, in which we initialized models of hydrothermal gas-water-rock at conditions relevant to Icelandic volcanism. We focus on Iceland as an example of a "wet" volcanic region where scrubb…

010504 meteorology & atmospheric sciencesIcelandMineralogychemistry.chemical_elementVolcanism010502 geochemistry & geophysics01 natural sciencesHydrothermal circulationGas phaseHydrothermal systemGeochemistry and PetrologyReaction path0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryEQ3/6GeologyGas emissionsGas-water-rock interactionSulfurMagmatic gas scrubbing; Gas-water-rock interaction; EQ3/6; Hydrothermal systems; IcelandMagmatic gas scrubbingSettore GEO/08 - Geochimica E VulcanologiachemistryVolcano13. Climate actionGeologyData scrubbing
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Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data

2016

Land Surface Temperature (LST) is one of the key parameters in the physics of land-surface processes on regional and global scales, combining the results of all surface-atmosphere interactions and energy fluxes between the surface and the atmosphere. With the advent of the ESA's Sentinel 3 (S3) satellite, accurate LST retrieval methodologies exploiting the synergy between OLCI and SLSTR instruments can be developed. In this paper we propose a candidate methodology for retrieving LST from data acquired with the forthcoming S3 instruments. The LST algorithm is based on the Split-Window (SW) technique with an explicit dependence on surface emissivity, in contrast to the AATSR level 2 algorithm…

010504 meteorology & atmospheric sciencesLand surface temperatureMean squared errorMeteorology0211 other engineering and technologiesSoil ScienceGeology02 engineering and technologyAATSR01 natural sciencesProxy (climate)EmissivityComputers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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