Search results for "Matematikk"

showing 10 items of 707 documents

Tapping beam recognition and measurement with infrared camera : Optimisation of an industrial process using an thermal imaging camera and computer vi…

2021

Master's thesis in Mechatronics (MAS500) This thesis presents the research and development of an application for recognition and measuring of a ferrosilicon tapping beam using an Infrared (IR) camera. Ferrosilicon production is a highly endothermic process, requiring large amounts of energy to operate; thus, the need for increased efficiency is constant. Using an IR camera for non-intrusive measurements of the tapping beam and developing computer vision algorithms that can identify distinctive process parameters are investigated in this project. Today a videostream from an IR camera overlooking the tapping area at Elkem Thamshavn is directly displayed in the tapping control room with no for…

VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Teknisk kybernetikk: 553MAS500VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering visualisering signalbehandling bildeanalyse: 429
researchProduct

Regional climate model simulations for Europe at 6 and 0.2 k BP: sensitivity to changes in anthropogenic deforestation

2014

International audience; This study aims to evaluate the direct effects of anthropogenic deforestation on simulated climate at two contrasting periods in the Holocene, ∼ 6 and ∼ 0.2 k BP in Eu-rope. We apply the Rossby Centre regional climate model RCA3, a regional climate model with 50 km spatial resolution, for both time periods, considering three alternative descriptions of the past vegetation: (i) potential natural vegetation (V) simulated by the dynamic vegetation model LPJ-GUESS, (ii) potential vegetation with anthro-pogenic land use (deforestation) from the HYDE3.1 (History Database of the Global Environment) scenario (V + H3.1), and (iii) potential vegetation with anthropogenic land …

VEGETATION DYNAMICSClimate ResearchLAND-COVER CHANGES:Mathematics and natural scienses: 400::Geosciences: 450::Meteorology: 453 [VDP]lcsh:Environmental protectionStratigraphyeducationPotential natural vegetation580 Plants (Botany)Climate modelKlimatforskningNORTHERN SWEDEN:Matematikk og naturvitenskap: 400::Geofag: 450::Meteorologi: 453 [VDP]lcsh:Environmental pollutionDeforestationEvapotranspirationlcsh:TD169-171.8anthropogenic deforestationlcsh:Environmental sciencesHolocene1172 Environmental sciencesddc:910HOLOCENE CLIMATElcsh:GE1-350Global and Planetary ChangeLand useHolocene:Mathematics and natural scienses: 400::Zoology and botany: 480::Vegetation history: 495 [VDP]IBERIAN PENINSULAPaleontologyVegetation[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landAlbedoLAKE-LEVEL FLUCTUATIONSEuropeLAST GLACIAL MAXIMUMRegional climate; deforestation; Europe13. Climate actionPOLLEN DATAClimatologylcsh:TD172-193.5[SDE]Environmental SciencesSURFACE CLIMATEBALTIC SEAClimate model:Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480::Vegetasjonshistorie: 495 [VDP]
researchProduct

A Perspective Review on Integrating VR/AR with Haptics into STEM Education for Multi-Sensory Learning

2022

As a result of several governments closing educational facilities in reaction to the COVID-19 pandemic in 2020, almost 80% of the world’s students were not in school for several weeks. Schools and universities are thus increasing their efforts to leverage educational resources and provide possibilities for remote learning. A variety of educational programs, platforms, and technologies are now accessible to support student learning; while these tools are important for society, they are primarily concerned with the dissemination of theoretical material. There is a lack of support for hands-on laboratory work and practical experience. This is particularly important for all disciplines related …

VRVR; AR; haptics; STEM; educationeducationControl and OptimizationScience & TechnologyMechanical EngineeringCiências Naturais::Ciências da Computação e da InformaçãoSTEMVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420VDP::Teknologi: 500hapticsArtificial IntelligenceVDP::Teknologi: 500::Maskinfag: 570ComputingMilieux_COMPUTERSANDEDUCATIONAR
researchProduct

Human Simulation and Sustainability : Ontological, Epistemological, and Ethical Reflections

2020

This article begins with a brief outline of recent advances in the application of computer modeling to sustainability research, identifying important gaps in coverage and associated limits in methodological capability, particularly in regard to taking account of the tangled human factors that are often impediments to a sustainable future. It then describes some of the ways in which a new transdisciplinary approach within &ldquo

Value (ethics)010504 meteorology & atmospheric scienceshuman simulationGeography Planning and DevelopmentTJ807-830010501 environmental sciencesManagement Monitoring Policy and Lawsocial simulationTD194-19501 natural sciencesVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Renewable energy sourcesGE1-350SociologyontologyVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550computer modeling0105 earth and related environmental sciencesSocial simulationSustainable developmentEnvironmental effects of industries and plantsRenewable Energy Sustainability and the EnvironmentStakeholderepistemologysustainabilityethicsEpistemologydevelopment studiesassemblage theoryEnvironmental sciencesSubject-matter expertPhilosophical analysisSustainabilityOntologyVDP::Samfunnsvitenskap: 200::Urbanisme og fysisk planlegging: 230
researchProduct

Combination of Searches for Invisible Higgs Boson Decays with the ATLAS Experiment

2019

Dark matter particles, if sufficiently light, may be produced in decays of the Higgs boson. This Letter presents a statistical combination of searches for H → invisible decays where H is produced according to the standard model via vector boson fusion, Z(ℓℓ)H, and W/Z(had)H, all performed with the ATLAS detector using 36.1  fb⁻¹ of pp collisions at a center-of-mass energy of √s = 13  TeV at the LHC. In combination with the results at √s = 7 and 8 TeV, an exclusion limit on the H → invisible branching ratio of 0.26(0.17-0.05+0.07) at 95% confidence level is observed (expected).

WIMP nucleon: scatteringMATÉRIA ESCURA13000 GeV-cmsGeneral Physics and Astronomy01 natural sciencesWIMP: dark matterVector bosonHigh Energy Physics - Experimentdark matter [WIMP]Subatomär fysikHiggs particle: hadroproductionHigh Energy Physics - Experiment (hep-ex)vector boson: fusionSubatomic Physicsscattering [p p]S126.7[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Z0: hadronic decayvector boson: associated productionPhysicsS030DMPLarge Hadron Colliderhadronic decay [Z0]ATLAS experimentSettore FIS/01 - Fisica SperimentaleConfidence levelsBranching ratioATLAS:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]Vector bosonmedicine.anatomical_structureThe standard modelCERN LHC CollHiggs particle: branching ratio: upper limitHiggs bosonLHCgamma-ray excesscolliding beams [p p]Particle Physics - ExperimentS126:Desig=7Particle physicsp p: scattering530 PhysicsCiências Naturais::Ciências FísicasHiggs bosonDark matter:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesATLAS experimentHiggs particle: invisible decaybranching ratio: upper limit [Higgs particle]LHC ATLAS High Energy Physicsddc:500.2fusion [vector boson]530Standard ModelmodelsParticle dark matterAtlas (anatomy)0103 physical sciencesmedicineDark matterddc:530High Energy Physics010306 general physicshadronic decay [W]Ciencias ExactasATLAS CollaborationW: hadronic decayScience & TechnologyBranching fractionscattering [WIMP nucleon]hep-exATLAS detectorsHigh Energy Physics::Phenomenology:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]Físicaleptonic decay [Z0]Higgs Boson decayInvisible decaysExperimental High Energy PhysicsZ0: leptonic decayExtensions of Higgs sectorDark matter particlesElementary Particles and Fieldshadroproduction [Higgs particle]associated production [vector boson]High Energy Physics::ExperimentHadron-hadron collisionsstatisticalp p: colliding beamsinvisible decay [Higgs particle]experimental results
researchProduct

Resolution of the ATLAS muon spectrometer monitored drift tubes in LHC Run 2

2019

The momentum measurement capability of the ATLAS muon spectrometer relies fundamentally on the intrinsic single-hit spatial resolution of the monitored drift tube precision tracking chambers. Optimal resolution is achieved with a dedicated calibration program that addresses the specific operating conditions of the 354 000 high-pressure drift tubes in the spectrometer. The calibrations consist of a set of timing offsets and drift time to drift distance transfer relations, and result in chamber resolution functions. This paper describes novel algorithms to obtain precision calibrations from data collected by ATLAS in LHC Run 2 and from a gas monitoring chamber, deployed in a dedicated gas fac…

Wire chambers (MWPCdrift tube13000 GeV-cmsPhysics::Instrumentation and DetectorsmuonsTracking (particle physics)01 natural sciences030218 nuclear medicine & medical imagingHigh Energy Physics - ExperimentSubatomär fysikMWPCHigh Energy Physics - Experiment (hep-ex)Gaseous detectors0302 clinical medicineWire chambersDrift tubesSubatomic Physicsscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]tracking detectorProportional chambersmomentum resolutionInstrumentationImage resolutionMathematical Physicsdrift tubesPhysicsLarge Hadron ColliderDrift chamberstrack data analysisMuon spectrometersResolution (electron density)DetectorSettore FIS/01 - Fisica SperimentaleATLAS:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]Wire chambers (MWPC Thin-gap chambers drift chambers drift tubes proportional chambers etc)medicine.anatomical_structureCERN LHC Collproportional chambers etc)Gaseous detectors; Muon spectrometers; Particle tracking detectors (gaseous detectors); Wire chambers (MWPC thin-gap chambers drift chambers drift tubes proportional chambers etc)MDT chambersWire chambers (MWPC)LHCcolliding beams [p p]Particle Physics - Experimentp p: scatteringspectrometer [muon]Ciências Naturais::Ciências Físicas530 PhysicsParticle tracking detectors (Gaseous detectors):Ciências Físicas [Ciências Naturais]610FOS: Physical sciencesdrift chamber [muon]gas [monitoring]programming03 medical and health sciencesOpticsAtlas (anatomy)Muon spectrometer0103 physical sciencesCalibrationmedicinemuon: drift chamberGaseous detectorddc:610drift chambersHigh Energy Physicsspatial resolutionMuonScience & Technology010308 nuclear & particles physicsbusiness.industryhep-ex:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]Thin-gap chamberscalibrationmonitoring: gasExperimental High Energy Physicsbusinessp p: colliding beamsmuon: spectrometerexperimental results
researchProduct

Richard von Mises’ work for ZAMM until his emigration in 1933 and glimpses of the later history of ZAMM

2020

Work (electrical)Applied MathematicsPhilosophyComputational Mechanicsvon Mises yield criterionVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410ClassicsEmigration
researchProduct

Investigating the Affordances and Constraints of SimReal for Mathematical Learning : A Case Study in Teacher Education

2019

Visualizations tools are one of the most innovative technologies that emerged the last few years in educational settings. They provide new potentialities for mathematical learning by means of dynamic animations and representations, interactive simulations, and live streaming of lessons. Moreover, visualization tools have the potential to foster a visual, dynamic, distributed, and embodied mathematics rather than individual achievements and static representations. This paper uses the visualization tool SimReal in teacher education to explore the affordances of the tool for learning mathematics. It proposes a framework that captures the affordances of SimReal at a technological, pedagogical, …

Work (electrical)Embodied cognitionMathematics educationMathematical learningAffordanceLive streamingVDP::Samfunnsvitenskap: 200::Pedagogiske fag: 280VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410Teacher educationVisualization
researchProduct

A high-accuracy calibration method for temperature dependent photoluminescence imaging

2019

This work demonstrates a novel technique for calibrating temperature dependent photoluminescence (PL) images of silicon wafers with high accuracy. The PL signal is calibrated using a heat-controlled photoconductance (PC) stage integrated into the PL imaging system. The PC signal is measured in true steady state condition and used to determine the calibration constant under the same temperature and illumination as the PL image, thus providing a high-precision calibration. This results in a robust method for imaging of important physical parameters, such as the minority carrier lifetime and the implied voltage at different temperatures, as well as the temperature coefficients and the recombin…

Work (thermodynamics)Steady state (electronics)PhotoluminescenceMaterials scienceVDP::Matematikk og Naturvitenskap: 400::Fysikk: 430business.industryCalibrationOptoelectronicsWaferCarrier lifetimebusinessSignalVoltage
researchProduct

Electron and photon energy calibration with the ATLAS detector using 2015-2016 LHC proton-proton collision data

2019

Artículo realizado por muchos autores. Solo se referencian el que aparece en primer lugar, el nombre del grupo de colaboración y los autores que firman como pertenecientes a la UAM

Z0 --> electron positronJ/psi(3100) --> electron positronProton13000 GeV-cmsparticle identification [electron]ElectronZ0 --> electron positronelectron: transverse momentum01 natural sciencesphoton: particle identificationSubatomär fysik0302 clinical medicinescattering [p p]Nuclear Experiment proton–proton collisionsLarge Hadron ColliderCalibration and fittingphoton: transverse momentumand fitting methodsphoton: energy:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]calibration [energy]CERN LHC Collcalibration and fitting methodcolliding beams [p p]transverse momentum [electron]p p: scatteringCiências Naturais::Ciências Físicas610LHC ATLAS High Energy PhysicsPhoton energyFitting methodsJ/psi(3100) --> electron positronradiative decay [J/psi(3100)]Nuclear physicsMomentum03 medical and health sciencesAtlas (anatomy)High Energy Physicspair production [electron]CALORIMETERScience & Technologyradiative decay [Z0]electron: particle identification010308 nuclear & particles physicsenergy [photon]Acceleratorfysik och instrumentering jets energy: calibrationCalorimeter methodExperimental High Energy PhysicsPerformance of High Energy Physics Detectorsp p: colliding beamsacceptancetransverse momentum [photon]PhotonJ/psi(3100): radiative decayCalorimeter methods; Pattern recognition cluster finding calibration; and fitting methods; Performance of High Energy Physics Detectors; PARTON DISTRIBUTIONS; LIQUID AR; CALORIMETER; KR030218 nuclear medicine & medical imagingHigh Energy Physics - Experimentelectron: pair productionHigh Energy Physics - Experiment (hep-ex)Subatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Collisions Calorimeter methodsInstrumentationMathematical PhysicsBosonPhysicsPattern recognition cluster finding calibration and fitting methodsSettore FIS/01 - Fisica Sperimentalecalibration and fitting methodsATLASLIQUID ARmedicine.anatomical_structureKRCalibrationcalibration and fitting methods; Calorimeter methods; cluster finding; Pattern recognition; Performance of High Energy Physics Detectors; Instrumentation; Mathematical PhysicsParticle Physics - Experiment530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesZ0: radiative decayAccelerator Physics and Instrumentationcalibration and fitting methods; Calorimeter methods; cluster finding; Pattern recognition; Performance of High Energy Physics DetectorsPattern recognition0103 physical sciencesmedicineddc:610hep-exCluster finding:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]particle identification [photon]FísicaPARTON DISTRIBUTIONSHigh Energy Physics::Experimentexperimental results
researchProduct