Search results for "Data processing"

showing 5 items of 175 documents

CONOSCENZA E CONSERVAZIONE. PROSPETTIVE PER LE DOMUS DI PIAZZA DELLA VITTORIA A PALERMO.

2014

Il tema di ricerca possiede un carattere multidisciplinare, coinvolge ampi settori e, con un approccio metodologico di tipo olistico, mette in evidenza le complessità storiche, artistiche, architettoniche, archeologiche e urbanistiche, tenendo conto delle differenti implicazioni sul piano sia tecnologico che museografico. Il caso di studio scelto, per elaborare una strategia d’intervento e riproponibile in altri contesti, è costituito dalle Domus di Piazza della Vittoria a Palermo, un exemplum di complesso residenziale unico nell’ambito della città, arricchito dalla presenza di importanti mosaici che testimoniano la circolazione di possibili culti praticati nell’area occidentale della Sicil…

ricerca archeologicaknowledgeconservazioneconservationarchaeological data processingdocumentation of findsarchaeological heritagevalorizzazioneSettore ICAR/12 - Tecnologia Dell'Architetturapatrimonio archeologicoelaborazione dati archeologiciconoscenzaarchaeological researchdocumentazione repertivalorization
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Nouvelles technologies et aide à la compréhension de documents techniques : Construction et expérimentation d'un simulateur de fonctionnement de grue…

2001

Reading skills are more and more required to succeed professional examination. French crane drivers are concerned with this problem. In order to help them, we have conducted a study with three main steps. First, we carried out a cognitive work analysis. Second, we test several analogical modalities of written presentations focusing on the construction of a specific simulator. Finally, two experiments are presented showing a significative effect of this simulator on the comprehension of cranes technical documentation.

simulatorilliteracyEducation<br />Computer-assisted educationtechnical writingsergonomie cognitive de l'apprentissage[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Educationdocuments techniques[ SHS.EDU ] Humanities and Social Sciences/Educationcognitive ergonomic trainingmultimodaliténouvelles technologiesEducation -- Data processing<br />Computer-assisted instructionreprésentation fonctionnelleEnseignement assisté par ordinateur<br />Nouvelles technologies de l'information et de la communicationEducational technologies<br />Information and communications technologysimulateurinstructional technologyComprehensionfunctional mental modelillettrisme
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Scalable implementation of dependence clustering in Apache Spark

2017

This article proposes a scalable version of the Dependence Clustering algorithm which belongs to the class of spectral clustering methods. The method is implemented in Apache Spark using GraphX API primitives. Moreover, a fast approximate diffusion procedure that enables algorithms of spectral clustering type in Spark environment is introduced. In addition, the proposed algorithm is benchmarked against Spectral clustering. Results of applying the method to real-life data allow concluding that the implementation scales well, yet demonstrating good performance for densely connected graphs. peerReviewed

ta113ta213Apache SparkComputer sciencedatasetsCorrelation clusteringdata miningcomputer.software_genrealgorithmsSpectral clusteringComputational sciencedependence clusteringData stream clusteringCURE data clustering algorithmScalabilitySpark (mathematics)algoritmitCanopy clustering algorithmData miningtiedonlouhintaCluster analysisclustering algorithmscomputerdata processingtietojenkäsittely
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The ALICE experiment at the CERN LHC

2008

Journal of Instrumentation 3(08), S08002 (2008). doi:10.1088/1748-0221/3/08/S08002

visible and IR photonsLiquid detectorshigh energyPhotonPhysics::Instrumentation and DetectorsTransition radiation detectorsTiming detectors01 natural sciencesOverall mechanics designParticle identificationSoftware architecturesParticle identification methodsGaseous detectorscluster findingDetector cooling and thermo-stabilizationDetector groundingParticle tracking detectors[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Special cablesDetector alignment and calibration methodsDetectors and Experimental TechniquesNuclear ExperimentVoltage distributions.Photon detectors for UVInstrumentationMathematical PhysicsQuantum chromodynamicsPhysicsLarge Hadron ColliderSpectrometersPhysicsDetectorcalibration and fitting methodsTransition radiation detectorScintillatorsData processing methodsAnalysis and statistical methodsData reduction methodsParticle physicsCherenkov and transition radiationTime projection chambers610dE/dx detectorsNuclear physicsCalorimetersPattern recognitionGamma detectors0103 physical sciencesddc:610Solid state detectors010306 general physicsMuonInstrumentation for heavy-ion acceleratorsSpectrometerLarge detector systems for particle and astroparticle physics010308 nuclear & particles physicsCERN; LHC; ALICE; heavy ion; QGPCherenkov detectorsComputingVoltage distributionsManufacturingscintillation and light emission processesanalysis and statistical methods; calorimeters; cherenkov and transition radiation; cherenkov detectors; computing; data processing methods; data reduction methods; de/dx detectors; detector alignment and calibration methods; detector cooling and thermo-stabilization; detector design and construction technologies and materials; detector grounding; gamma detectors; gaseous detectors; instrumentation for heavy-ion accelerators; instrumentation for particle accelerators and storage rings - high energy; large detector systems for particle and astroparticle physics; liquid detectors; manufacturing; overall mechanics design; particle identification methods; particle tracking detectors; pattern recognition; cluster finding; calibration and fitting methods; photon detectors for uv; visible and ir photons; scintillators; scintillation and light emission processes; simulation methods and programs; software architectures; solid state detectors; special cables; spectrometers; time projection chambers; timing detectors; transition radiation detectors; voltage distributionsInstrumentation for particle accelerators and storage ringsInstrumentation; Mathematical PhysicsHigh Energy Physics::ExperimentSimulation methods and programsDetector design and construction technologies and materials
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Impact of using different levels of threshold-based artefact correction on the quantification of heart rate variability in three independent human co…

2020

Heart rate variability (HRV) is a non-invasive indicator of autonomic nervous system function. HRV recordings show artefacts due to technical and/or biological issues. The Kubios software is one of the most used software to process HRV recordings, offering different levels of threshold-based artefact correction (i.e., Kubios filters). The aim of the study was to analyze the impact of different Kubios filters on the quantification of HRV derived parameters from short-term recordings in three independent human cohorts. A total of 312 participants were included: 107 children with overweight/obesity (10.0 &plusmn

young adultsmedicine.medical_specialtyMiddle-aged adultslcsh:Medicine030204 cardiovascular system & hematologyOverweightStandard deviationArticle03 medical and health sciences0302 clinical medicinechildrenInternal medicinemedicineAutonomic nervous systemHeart rate variabilityChildrenbusiness.industrymiddle-aged adultsHeart rate monitorlcsh:Rautonomic nervous system030229 sport sciencesGeneral MedicineData processingAutonomic nervous systemCardiologyAnalysis of varianceKubios softwaremedicine.symptombusinessdata processingYoung adultscirculatory and respiratory physiology
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