Search results for "performance [monitoring]"

showing 10 items of 531 documents

Optical flip-flop memory and data packet switching operation based on polarization bistability in a telecommunication optical fiber

2013

We report the experimental observation of bistability and hysteresis phenomena of the polarization signal in a telecommunication optical fiber. This process occurs in a counterpropagating configuration in which the optical beam nonlinearly interacts with its own Bragg-reflected replica at the fiber output. The proof of principle of optical flip–flop memory and 10  Gbit/s routing operation is also reported based on this polarization bistability. Finally, we also provide a general physical understanding of this behavior on the basis of a geometrical analysis of an effective model of the dynamics. Good quantitative agreement between theory and experiment is obtained.

Physics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Multi-mode optical fiber[ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]Bistabilitybusiness.industryOptical cross-connectSingle-mode optical fiberPhysics::OpticsStatistical and Nonlinear PhysicsPolarization-maintaining optical fiberOptical performance monitoring01 natural sciencesOptical switchAtomic and Molecular Physics and Optics010309 opticsOptics0103 physical sciencesFiber optic splitterOptoelectronics010306 general physicsTelecommunicationsbusinessComputingMilieux_MISCELLANEOUS
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Rateless Codes Performance Tests On Terrestrial FSO Time-Correlated Channel Model

2012

Free Space Optics (FSO) links are affected by several impairments: optical turbulence, scattering, absorption, and pointing. In particular, atmospheric optical turbulence generates optical power fluctuations at the receiver that can degrade communications with fading events, especially, in high data rate links. A way to mitigate FSO link outages can be to add a coding to communications. Nevertheless, in order to study innovative solutions (software or hardware) and to improve the FSO link performance it needs accurate testing models. In this paper we describe an accurate time-correlated channel model able to predict random temporal fluctuations of optical signal irradiance caused by optical…

Physicsbusiness.industrySettore ING-INF/03 - Telecomunicazionicorrelated channelrateless code.Fountain codeOptical powerSettore ING-INF/02 - Campi ElettromagneticiOptical performance monitoringRaptorQ (RQ)Settore ING-INF/01 - ElettronicaSoftwareFree Space Optics (FSO)Luby Tranform (LT)Electronic engineeringFadingbusinessRaptor codeTransform codingAtmospheric opticsComputer Science::Information TheoryCoding (social sciences)Free-space optical communication
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Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run

2013

This paper presents a summary of beam-induced backgrounds observed in the ATLAS detector and discusses methods to tag and remove background contaminated events in data. Triggerrate based monitoring of beam-related backgrounds is presented. The correlations of backgrounds with machine conditions, such as residual pressure in the beam-pipe, are discussed. Results from dedicated beam-background simulations are shown, and their qualitative agreement with data is evaluated. Data taken during the passage of unpaired, i.e. non-colliding, proton bunches is used to obtain background-enriched data samples. These are used to identify characteristic features of beam-induced backgrounds, which then are …

Physics::Instrumentation and DetectorsAccelerator modelling and simulations; multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamicsPROTON BEAMSMonte Carlo methodsingle-particle dynamics01 natural sciencesaccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)MUON DETECTORcluster findingPIXEL DETECTORSNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderPattern recognition cluster finding calibration and fitting methodsAccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)Settore FIS/01 - Fisica SperimentaleObservableATLAScalibration and fitting methodsAccelerator modelling and simulationsCalorimetermedicine.anatomical_structureBunchesAccelerator Modelling and Simulations (Multi-Particle Dynamics Single-Particle Dynamics)Analysis and statistical methodsLHCmulti-particle dynamicsNatural SciencesParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências Físicas530 PhysicsInstrumentationCALORIMETERS:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicssingle-particle dynamics)Atlas (anatomy)Pattern recognition0103 physical sciencesmedicineAccelerator modelling and simulations (multi-particle dynamics single-particle dynamics)High Energy Physicspattern recognition; cluster finding; calibration and fitting methods; single-particle dynamics); analysis and statistical methods; accelerator modelling and simulations (multi-particle dynamics; performance of high energy physics detectorsddc:610010306 general physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsCluster findingFísicaAccelerator modelling and simulations (multi-particle dynamicsAccelerator modelling and simulations (multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamics); Instrumentation; Mathematical PhysicsExperimental High Energy PhysicsPattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors; Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics); Analysis and statistical methodsPhysics::Accelerator PhysicsPerformance of High Energy Physics DetectorsEvent (particle physics)
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Reconstruction of events recorded with the surface detector of the Pierre Auger Observatory

2020

Cosmic rays arriving at Earth collide with the upper parts of the atmosphere, thereby inducing extensive air showers. When secondary particles from the cascade arrive at the ground, they are measured by surface detector arrays. We describe the methods applied to the measurements of the surface detector of the Pierre Auger Observatory to reconstruct events with zenith angles less than 60 using the timing and signal information recorded using the water-Cherenkov detector stations. In addition, we assess the accuracy of these methods in reconstructing the arrival directions of the primary cosmic ray particles and the sizes of the induced showers.

Physics::Instrumentation and DetectorsAstronomyprimary [cosmic radiation]01 natural sciences030218 nuclear medicine & medical imagingAugerHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)0302 clinical medicinesurface [detector]Observatory[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Data Processing; Large detector systems for particle and astroparticle physics; Large detector-systems performance; Performance of High Energy Physics DetectorsInstrumentationMathematical PhysicsData Processing; Large detector systems for particle and astroparticle physics; Largedetector-systems performance; Performance of High Energy Physics DetectorsLarge detector-systems performanceHigh Energy Astrophysical Phenomena (astro-ph.HE)Physicsastro-ph.HEInstrumentation et méthodes en physiqueData ProcessingDetectorAstrophysics::Instrumentation and Methods for AstrophysicsAugercascadeobservatoryCascadeLargedetector-systems performanceddc:620Astrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomenaatmosphere [showers]airAstrophysics::High Energy Astrophysical PhenomenawaterFOS: Physical sciencesCosmic rayAtmosphere03 medical and health sciencesOptics0103 physical sciencesHigh Energy Physics14. Life underwater[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]ddc:610Instrumentation and Methods for Astrophysics (astro-ph.IM)ZenithEngineering & allied operationsPierre Auger Observatoryshowers: atmosphere010308 nuclear & particles physicsbusiness.industryhep-exdetector: surfaceLarge detector systems for particle and astroparticle physicsAutres mathématiquescosmic radiation: primaryCherenkov counterExperimental High Energy PhysicsLarge detector systems for particle and astroparticle physicHigh Energy Physics::ExperimentPerformance of High Energy Physics Detectorsbusiness[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]RAIOS CÓSMICOSastro-ph.IM
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A measurement of material in the ATLAS tracker using secondary hadronic interactions in 7 TeV pp collisions

2016

Knowledge of the material in the ATLAS inner tracking detector is crucial in understanding the reconstruction of charged-particle tracks, the performance of algorithms that identify jets containing b-hadrons and is also essential to reduce background in searches for exotic particles that can decay within the inner detector volume. Interactions of primary hadrons produced in pp collisions with the material in the inner detector are used to map the location and amount of this material. The hadronic interactions of primary particles may result in secondary vertices, which in this analysis are reconstructed by an inclusive vertex-finding algorithm. Data were collected using minimum-bias trigger…

Physics::Instrumentation and DetectorsCiencias FísicasHadronsecondary [vertex]01 natural sciencesHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]of photons with matter interaction of hadrons with matter etc)tracking detectorInstrumentationGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Mathematical PhysicsQCPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Performance of high energy physics detectorsLarge Hadron ColliderAtlas (topology)DetectorSettore FIS/01 - Fisica Sperimentaleexotic [particle]ATLAStrackingprimary [vertex]CERN LHC CollDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Performance of High Energy Physics DetectorsAtlasTellurium compoundsParticle Physics - ExperimentperformanceCIENCIAS NATURALES Y EXACTASParticle physics530 PhysicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]Detector modelling and simulations I (interaction of radiation with matter interactionFOS: Physical sciencesLHC ATLAS High Energy Physics530MaterialNuclear physics510 Mathematics0103 physical sciencesddc:610High Energy Physics010306 general physicsCiencias ExactasScience & Technology010308 nuclear & particles physicstracks [charged particle]backgroundFísica//purl.org/becyt/ford/1.3 [https]triggerAstronomíaExperimental High Energy PhysicsHigh Energy Physics::Experimenthadron
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A Model for a Data Acquisition Solution for a Medium Size Accelerator Laboratory

2005

Pipeline transportRandom access memoryData acquisitionOptical controlComputer sciencebusiness.industryControl systemOptical performance monitoringOptical filterbusinessComputer hardwareSeventh Conference Real Time '91 on Computer Applications in Nuclear, Particle and Plasma Physics Conference Record
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THE “ENTREPRENEURIAL UNIVERSITY”: A PRELIMINARY ANALYSIS OF THE MAIN MANAGERIAL AND ORGANISATIONAL FEATURES TOWARDS THE DESIGN OF PLANNING & CONTROL …

2013

In the last decade, European academic institutions have been affected by significant reforms aimed to improve their own performance levels. The reason for these reforms has been inspired by various factors, such as budgetary restrictions imposed by National Governments and the “marketisation” of the Higher Education sector. This has led European universities to increase their autonomy and accountability to successfully perform and compete in a worldwide competitive system. Both autonomy and accountability have involved a greater emphasis on performance management and Planning & Control (P&C) systems. In the light of the new institutional and competitive context, the aim of this paper is to …

Planning & Control systems.University managementUniversity management; ‘Entrepreneurial University’ features; Academic performance management-based perspective; Planning & Control systems.Academic performance management-based perspective„Entrepreneurial University‟ featureManagement Research and Practice
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A new indicator for higher education student performance

2014

The debate on academic achievement is a heated issue that involves all the higher education contexts. This paper attempts to provide an indicator that can make the measurement of university student performance easier and that can be easily applied to different systems, making comparisons more fair. The Italian University System is used as a starting point to make several considerations on the current measures and to build up a new performance indicator. Then, a generalization for other marking systems is shown and finally a quantile regression is performed to investigate some determinants of the new performance indicator, also with respect to the current one.

Point (typography)Higher educationOperations researchGPA Measurement of educational path Credits and marks Quantile regressionGeneralizationbusiness.industryComputer scienceRegression analysisAcademic achievementEducationQuantile regressionEconometricsPerformance indicatorSettore SECS-S/05 - Statistica SocialebusinessSettore SECS-S/01 - StatisticaUniversity system
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Blending Collaborative Governance and Dynamic Performance Management to Foster Policy Coordination in Renewable Energy Supply Chains

2020

As the use of renewable energy is growing worldwide, the wind industry is being endorsed as a promising source for clean energy supply. In this context, the strategic management of the supply chain is fundamental to pursue a steady expansion of renewable energy. However, the fragmentation between energy policy design and implementation has been considered as a major cause threatening the effectiveness in managing the supply chain. This problem has been provoked mainly by an unsynchronized and uncoordinated decision-making process that involves public and private institutions. This chapter proposes the adoption of a dynamic performance management approach for enhancing a collaborative govern…

Policy coordinationDynamic performance managementPerformance managementbusiness.industrySupply chainEnvironmental economicsEnergy policyRenewable energy supplyRenewable energyMarket fragmentationSystem dynamics modellingSettore SECS-P/07 - Economia AziendaleStrategic managementBusinessCollaborative governanceCollaborative governance
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How to support energy policy coordination? Findings from the Brazilian wind industry

2019

Abstract Despite a growing sense of urgency, the deployment of clean technologies has been affected by fragmentation of energy policy design and implementation. In some case, wicked policy issues around renewable energy infrastructure have delayed or even halted the uptake of renewables. To find possible answer to consistent policy design that involves public/private institutions of the electricity sector, the authors propose the adoption of a dynamic performance management approach to support the energy policy coordination.

Policy coordinationRenewable energyDynamic performance managementPerformance managementbusiness.industry020209 energy02 engineering and technology010501 environmental sciencesEnvironmental economics01 natural sciencesEnergy policyRenewable energyMarket fragmentationSettore SECS-P/07 - Economia AziendaleSoftware deploymentManagement of Technology and Innovation0202 electrical engineering electronic engineering information engineeringBusinessElectricityBusiness and International ManagementPolicy designSimulation0105 earth and related environmental sciencesEnergy (miscellaneous)Collaborative governance
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