Search results for " Tracking"

showing 10 items of 431 documents

Radiation hard monolithic CMOS sensors with small electrodes for High Luminosity LHC

2019

Abstract The upgrade of the tracking detectors for the High Luminosity-LHC (HL-LHC) requires the development of novel radiation hard silicon sensors. The development of Depleted Monolithic Active Pixel Sensors targets the replacement of hybrid pixel detectors with radiation hard monolithic CMOS sensors. We designed, manufactured and tested radiation hard monolithic CMOS sensors in the TowerJazz 180 nm CMOS imaging technology with small electrodes pixel designs. These designs can achieve pixel pitches well below current hybrid pixel sensors (typically 50 ×  50 μ m ) for improved spatial resolution. Monolithic sensors in our design allow to reduce multiple scattering by thinning to a total si…

Nuclear and High Energy PhysicsParticle tracking detectors ; Radiation-hard detectors ; Electronic detector readout concepts ; CMOS sensors ; Monolithic active pixel sensorsPhysics::Instrumentation and DetectorscostsRadiationElectronic detector readout concepts01 natural sciences7. Clean energy030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicinesemiconductor detector: pixelElectronic detector readout conceptCMOS sensorselectrode: designParticle tracking detectors0103 physical sciences[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]InstrumentationImage resolutionRadiation hardeningspatial resolutionradiation: damagePhysicsCMOS sensorsemiconductor detector: technologyMonolithic active pixel sensorPixelirradiation010308 nuclear & particles physicsbusiness.industrytracking detector: upgradeDetectorCMOS sensorParticle tracking detectorMonolithic active pixel sensorsUpgradeCERN LHC CollCMOSefficiencyOptoelectronicsbusinessperformanceRadiation-hard detectors
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Using deep neural networks for kinematic analysis: Challenges and opportunities

2020

Kinematic analysis is often performed in a lab using optical cameras combined with reflective markers.\ud With the advent of artificial intelligence techniques such as deep neural networks, it is now possible\ud to perform such analyses without markers, making outdoor applications feasible. In this paper I summarise\ud 2D markerless approaches for estimating joint angles, highlighting their strengths and limitations.\ud In computer science, so-called ‘‘pose estimation” algorithms have existed for many years. These methods\ud involve training a neural network to detect features (e.g. anatomical landmarks) using a process called\ud supervised learning, which requires ‘‘training” images to be …

Motion analysisComputer scienceProcess (engineering)media_common.quotation_subject0206 medical engineeringBiomedical EngineeringBiophysicsneuroverkot02 engineering and technologyMachine learningcomputer.software_genreTask (project management)QA7603 medical and health sciences0302 clinical medicineDeep LearningArtificial IntelligenceHumansOrthopedics and Sports MedicineQuality (business)liikeanalyysiPosemedia_commonQMliikeoppiArtificial neural networkGV557_SportsT1business.industrymotion analysisRehabilitationSupervised learningdeep neural networkartificial intelligence020601 biomedical engineeringBiomechanical Phenomenakoneoppiminenkinematicsmarkerless trackingArtificial intelligenceNeural Networks ComputerbusinessTransfer of learningcomputer030217 neurology & neurosurgeryAlgorithms
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Response of AGATA segmented HPGe detectors to gamma rays up to 15.1MeV

2013

WOS: 000314826000009

AGATA; Gamma-ray spectroscopy; Gamma-ray tracking; HPGe detectors; Pulse-shape and gamma-ray tracking algorithms; Semiconductor detector performance and simulationsNuclear and High Energy PhysicsPulse-shape and gamma-ray tracking algorithmsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesSemiconductor detector performance and simulationsTracking (particle physics)01 natural sciencesNuclear physicsGamma-ray tracking0103 physical sciencesGamma spectroscopyddc:530Gamma-ray spectroscopyNuclear Experiment (nucl-ex)010306 general physicsNuclear ExperimentInstrumentationNuclear ExperimentDetectors de radiacióPhysicsSpectrometer010308 nuclear & particles physicsDetectorHPGe detectorsGamma ray81V35Semiconductor detectorAGATAFísica nuclearHpge detectorAGATA
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New ALICE detectors for Run 3 and 4 at the CERN LHC

2020

Abstract Run 3 at the CERN LHC is scheduled to start in March 2021. In preparation for this new data taking period the ALICE experiment is making major modifications to its subsystems and is introducing three new detectors: the new Inner Tracking System, the Muon Forward Tracker, and the Fast Interaction Trigger. The new detectors will enhance tracking, especially at low transverse momenta, improve vertexing, provide the required triggering, fast timing, luminosity, and forward multiplicity functionality. For instance, it will be possible to measure beauty from displaced J/ ψ vertices down to transverse momenta p T ∼ 0 and improve precision for the ψ (2S) measurements. The upgraded ALICE wi…

PhysicsNuclear and High Energy PhysicsParticle physicsMuonLuminosity (scattering theory)Large Hadron Colliderbusiness.industryPhysics::Instrumentation and DetectorsDetectortutkimuslaitteetMultiplicity (mathematics)Tracking systemhiukkasfysiikkaTracking (particle physics)ALICE upgradeinner tracking systemmuon forward trackerALICE (propellant)businessInstrumentationHL-LHCfast interaction trigger
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Algorithms and software for biological multiscale image analysis

2013

electron microscopyBioImageXDsegmentationelectron tomographybioinformatiikkatietokoneohjelmatmethod validationelektronimikroskopiaanalyysimenetelmätsingle-particle reconstructionsimulated datamikroskopiakuvankäsittelyfluorescence microscopycolocalizationbioimage informaticskuvantaminentomografiaalgoritmitsingle-particle trackingbioimage analysis
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Technical design report for the upgrade of the ALICE inner tracking system

2014

ALICE (A Large Ion Collider Experiment) is studying the physics of strongly interacting matter, and in particular the properties of the Quark–Gluon Plasma (QGP), using proton–proton, proton–nucleus and nucleus–nucleus collisions at the CERN LHC (Large Hadron Collider). The ALICE Collaboration is preparing a major upgrade of the experimental apparatus, planned for installation in the second long LHC shutdown in the years 2018–2019. A key element of the ALICE upgrade is the construction of a new, ultra-light, high- resolution Inner Tracking System (ITS) based on monolithic CMOS pixel detectors. The primary focus of the ITS upgrade is on improving the performance for detection of heavy-flavour…

ROOT-S=2.76 TEV; PP COLLISIONS; DETECTORS; RECONSTRUCTION; ELECTRONICS; SILICON; PHYSICS; MODELPhysics::Instrumentation and DetectorsNuclear TheoryNuclear and High Energy Physics;Tracking (particle physics)01 natural sciences7. Clean energydecaylaw.inventionUpgradeALICElawLHC; ALICE; Inner Tracking SystemNuclear ExperimentGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)ComputingMilieux_MISCELLANEOUSPhysicsLarge Hadron ColliderDetectorSettore FIS/01 - Fisica SperimentaleTracking systemPRIRODNE ZNANOSTI. Fizika.UpgradeLHCParticle physicsNuclear and High Energy PhysicsALICE Inner Tracking SystemROOT-S=2.76 TEV; pp collisions; DETECTORS; RECONSTRUCTION; ELECTRONICS; SILICON; PHYSICS; MODEL; decay[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]Dot pitchPHYSICSELECTRONICS0103 physical sciencesDETECTORSRECONSTRUCTIONCMOS pixel sensors010306 general physicsColliderROOT-S=2.76 TEVSILICONPP COLLISIONSPixel010308 nuclear & particles physicsbusiness.industryALICE experimentInner Tracking SystemTechnical Design ReportNATURAL SCIENCES. Physics.MODELDetector upgradeTechnical Design Report; Upgrade; ALICE Inner Tracking SystemHigh Energy Physics::Experimentbusiness
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An empirical evaluation of two natural hand interaction systems in augmented reality

2022

AbstractHuman-computer interaction based on hand gesture tracking is not uncommon in Augmented Reality. In fact, the most recent optical Augmented Reality devices include this type of natural interaction. However, due to hardware and system limitations, these devices, more often than not, settle for semi-natural interaction techniques, which may not always be appropriate for some of the tasks needed in Augmented Reality applications. For this reason, we compare two different optical Augmented Reality setups equipped with hand tracking. The first one is based on a Microsoft HoloLens (released in 2016) and the other one is based on a Magic Leap One (released more than two years later). Both d…

Computer Networks and CommunicationsHardware and Architecturenatural interactiongesture trackingMedia TechnologyhololensUNESCO::CIENCIAS TECNOLÓGICASaugmented realitySoftwaremagic leapMultimedia Tools and Applications
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Power tracking with maximum efficiency for wireless charging of E-bikes

2014

Wireless charging techniques, based on Inductive Power Transfer (IPT), are attractive for Electric Vehicles (EV), due to benefits such as convenience and safety. An accurate valuation of the maximum achievable efficiency in an IPT system is extremely unlikely due to the high sensitivity to parasitic elements variations. Therefore, an “on site” procedure of power efficiency characterization is useful to get a precise description of the efficiency curve and obtain the actual maximum efficiency. In this paper, a power tracking algorithm aiming at efficiency maximization is proposed for a Wireless Charging system. The algorithm aims at finding the maximum power transfer efficiency with respect …

Engineeringbusiness.industryInductive power transfer wireless battery charging power flow control power tracking maximum efficiencyControl variableMaximizationSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciSettore ING-INF/01 - ElettronicaMaximum power point trackingMaximum efficiencyElectronic engineeringMaximum power transfer theoremWirelessbusinessElectrical efficiencyPower control2014 IEEE International Electric Vehicle Conference (IEVC)
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Determinants of spatial intensity of stop locations on cruise passengers tracking data

2021

This paper aims at analyzing the spatial intensity in the distribution of stop locations of cruise passengers during their visit at the destination through a stochastic point process modelling approach on a linear network. Data collected through the integration of GPS tracking technology and questionnaire-based survey on cruise passengers visiting the city of Palermo are used, to identify the main determinants which characterize their stop locations pattern. The spatial intensity of stop locations is estimated through a Gibbs point process model, taking into account for both individual-related variables, contextual-level information, and for spatial interaction among stop points. The Berman…

Spatial intensity010104 statistics & probabilityCruise tourism0502 economics and business05 social sciencesGibbs point processeLinear networkGPS tracking data0101 mathematicsSettore SECS-S/01 - Statistica01 natural sciences050212 sport leisure & tourism
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Walking tourism in Malaga: a pilot survey to explore tourism behaviours with a GPS approach

2018

Walking tourism in urban destinations can be defined as a sequence of day visits and/or a sequence of walking tours. In this work, GPS tracking data on spatio-temporal behaviour of walking tourists in Malaga are reported as case study. Malaga is a booming tourist destination characterized by a city centre, particularly suitable for a pedestrian visit. From 22nd January to 19th March 2018 for a total period of 41 days, a survey was carried out with a specific protocol: 103 interviews were conducted and 101 GPS valid tracks were collected. Walking tourists were systematically sampled, starting from the population of all tourists staying in the surveying day at some selected hotels in the city…

Walking tourism Malaga GPS tracking data spatio-temporal behaviours urban destination city tourismSettore SECS-S/05 - Statistica Sociale
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