Search results for " processing"

showing 10 items of 7549 documents

Digital holographic microscopy with pure-optical spherical phase compensation

2011

Telecentric architecture is proposed for circumventing, by the pure-optical method, the residual parabolic phase distortion inherent to standard configuration of digital holographic microscopy. This optical circumvention produces several important advantages. One is that there is no need for computer compensation of the parabolic phase during the phase map recovering procedure. The other is that in off-axis configuration, the spatial frequency useful domain is enlarged. The validity of the method is demonstrated by performing quantitative measurement of depth differences with high axial resolution. (C) 2011 Optical Society of America

DYNAMICSMaterials sciencebusiness.industryPhase distortionPhase (waves)Image processingResidualCONTRAST MICROSCOPYAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsCompensation (engineering)INTERFEROMETRYIMAGE-RECONSTRUCTIONOpticsNUMERICAL RECONSTRUCTIONDigital holographic microscopyComputer Vision and Pattern RecognitionSpatial frequencybusinessDigital holographyJournal of the Optical Society of America A
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Search for Technicolor Particles Produced in Association with a W Boson at CDF

2010

7 páginas, 3 figuras, 1 tabla.-- PACS numbers: 14.80.Tt, 12.60.Nz, 13.85.Rm.-- CDF Collaboration: et al.

DYNAMICSParticle physicsHadronTevatronGeneral Physics and AstronomyFOS: Physical sciencesElementary particleddc:500.27. Clean energy01 natural sciences114 Physical sciencesStandard ModelHigh Energy Physics - ExperimentNuclear physicsSYMMETRY-BREAKINGHigh Energy Physics - Experiment (hep-ex)13.85.Rm 14.80.Bn0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Invariant mass010306 general physicsPhysicsMuon010308 nuclear & particles physicsPhysicsHigh Energy Physics::PhenomenologySYMMETRY-BREAKING; DYNAMICSHigh Energy Physics::ExperimentEnergy (signal processing)Lepton
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FRIPON: a worldwide network to track incoming meteoroids

2020

Context. Until recently, camera networks designed for monitoring fireballs worldwide were not fully automated, implying that in case of a meteorite fall, the recovery campaign was rarely immediate. This was an important limiting factor as the most fragile - hence precious - meteorites must be recovered rapidly to avoid their alteration. Aims. The Fireball Recovery and InterPlanetary Observation Network (FRIPON) scientific project was designed to overcome this limitation. This network comprises a fully automated camera and radio network deployed over a significant fraction of western Europe and a small fraction of Canada. As of today, it consists of 150 cameras and 25 European radio receiver…

DYNAMICS[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]MeteorsComputer scienceRadio receiver[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Surveys010502 geochemistry & geophysicsTrack (rail transport)01 natural sciencesMeteorites meteors meteoroidslaw.inventionPlanets and planetary system[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingMethods: observationallaw[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]meteoroids010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUSObservational methodsEarth and Planetary Astrophysics (astro-ph.EP)meteoroids -surveys -methods: observational -interplanetary medium[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]ORIGIN[INFO.INFO-AO]Computer Science [cs]/Computer Arithmeticmeteorites meteors meteoroids – surveys – methods: observational – interplanetary mediumMeteoroidsRECOVERYORBITMeteoriteFully automatedInterplanetary medium; Meteorites meteors meteoroids; Methods: observational; Surveys[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Astrophysics - Instrumentation and Methods for Astrophysics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingFLUXReal-time computingfripon[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]FOS: Physical sciencesContext (language use)CAMERA[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][SPI.AUTO]Engineering Sciences [physics]/Automatic[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology0103 physical sciencesFIREBALL NETWORKobservational [Methods]meteorsInstrumentation and Methods for Astrophysics (astro-ph.IM)0105 earth and related environmental sciencesMeteoroidINNISFREE METEORITE[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Astronomy and AstrophysicsMETEORITE FALLMeteorites meteors meteoroidCamera networkSpace and Planetary Science[SDU]Sciences of the Universe [physics]Interplanetary spaceflightmeteroids trackingmeteoroids - surveys - methods: observationalSYSTEMInterplanetary mediumAstrophysics - Earth and Planetary AstrophysicsMeteorites
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Towards Low-Cost Pavement Condition Health Monitoring and Analysis Using Deep Learning

2020

Governments are faced with countless challenges to maintain conditions of road networks. This is due to financial and physical resource deficiencies of road authorities. Therefore, low-cost automated systems are sought after to alleviate these issues and deliver adequate road conditions for citizens. There have been several attempts at creating such systems and integrating them within Pavement management systems. This paper utilizes replicable deep learning techniques to carry out hotspot analyses on urban road networks highlighting important pavement distress types and associated severities. Following this, analyses were performed illustrating how the hotspot analysis can be carried out to…

Damage detectionComputer science0211 other engineering and technologies02 engineering and technologylcsh:Technologylcsh:ChemistryTransport engineeringAutomated detectionSeverity assessmentRoad networks021105 building & constructionlow-cost technologies0202 electrical engineering electronic engineering information engineeringSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials ScienceRoad pavement distresseslcsh:QH301-705.5InstrumentationPavement management systemFluid Flow and Transfer Processeslcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningLow-cost technologieGeneral EngineeringPavement managementDeep learningUrban roadIntegrated approachlcsh:QC1-999Computer Science ApplicationsWorkflowlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingArtificial intelligencelcsh:Engineering (General). Civil engineering (General)businesslcsh:PhysicsPavement condition monitoringApplied Sciences
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Machine learning at the interface of structural health monitoring and non-destructive evaluation

2020

While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities and consider ultrasonic/guided-wave inspection as a technology at the interface of the two methodologies. It will discuss how data-based/machine learning analysis provides a powerful approach to ultrasonic NDE/SHM in terms of the available algorithms, and more generally, how different techniques can accommodate the very substantial quantities of data that are provided by modern monitoring campaigns. Several machine learning methods will be illu…

Damage detectionComputer scienceTKGeneral MathematicsInterface (computing)General Physics and AstronomyCompressive sensing machine learning non-destructive evaluation structural health monitoring transfer learning ultrasoundMachine learningcomputer.software_genreMachine LearningSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineEngineeringManufacturing and Industrial FacilitiesNon destructiveHumansUltrasonicsFeature databusiness.industryUltrasonic testingGeneral EngineeringBayes TheoremSignal Processing Computer-AssistedArticlesRoboticsData CompressionIdentification (information)Regression AnalysisStructural health monitoringArtificial intelligenceTransfer of learningbusinesscomputerAlgorithmsPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Modeling crowd dynamics through coarse-grained data analysis

2018

International audience; Understanding and predicting the collective behaviour of crowds is essential to improve the efficiency of pedestrian flows in urban areas and minimize the risks of accidents at mass events. We advocate for the development of crowd traffic management systems, whereby observations of crowds can be coupled to fast and reliable models to produce rapid predictions of the crowd movement and eventually help crowd managers choose between tailored optimization strategies. Here, we propose a Bi-directional Macroscopic (BM) model as the core of such a system. Its key input is the fundamental diagram for bi-directional flows, i.e. the relation between the pedestrian fluxes and d…

Data AnalysisOperations researchComputer scienceFLOW[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]macroscopic model0904 Chemical EngineeringTransportation02 engineering and technologycomputer.software_genre01 natural sciences010305 fluids & plasmas[SHS]Humanities and Social Sciences[SCCO]Cognitive scienceCrowds0903 Biomedical Engineering0102 Applied Mathematics11. Sustainability0202 electrical engineering electronic engineering information engineeringCluster AnalysisApplied Mathematicsbi-directional fluxcollective behaviourGeneral Medicine[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computational MathematicsCore (game theory)Modeling and Simulation[SCCO.PSYC]Cognitive science/Psychology020201 artificial intelligence & image processingGeneral Agricultural and Biological SciencesLife Sciences & BiomedicineBEHAVIORCrowd dynamicsRelation (database)Bioinformatics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]BioengineeringPedestrianModels PsychologicalMachine learningAdvanced Traffic Management SystemPedestrian traffic0103 physical sciencesHumansComputer Simulation[NLIN.NLIN-AO]Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO]Block (data storage)Science & Technologybusiness.industryMathematical ConceptsSIMULATIONSdata-based modelingCrowdingKey (cryptography)Artificial intelligenceMathematical & Computational Biologybusinesscomputer
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Acquisition, filtering and toll data processing system for obtaining origin-destination matrix and travel times on highways

2012

This paper presents an acquisition, filtering and real-time toll data processing system that provides a base for resolution and generation of studies and models of behavior on highways. Crossing points estimation, speed calculation, study traffic flow, travel time estimation and stopping points can also be provided. The complexity of processing with supplied data volume makes indispensable a less relevant information filtering. This filtering can be done through indicators such as speed or nullity of fields and a performance improvement job in database level using views, materializations, partitioning and parallelism. A web application called MODA has been developed. This application make e…

Data acquisitionData modelData extractionComputer scienceSoftware designData miningGraphicscomputer.software_genreSoftware architecturecomputerData modelingData processing systemProceedings of the 6th Euro American Conference on Telematics and Information Systems
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FO^2 with one transitive relation is decidable

2013

We show that the satisfiability problem for the two-variable first-order logic, FO^2, over transitive structures when only one relation is required to be transitive, is decidable. The result is optimal, as FO^2 over structures with two transitive relations, or with one transitive and one equivalence relation, are known to be undecidable, so in fact, our result completes the classification of FO^2-logics over transitive structures with respect to decidability. We show that the satisfiability problem is in 2-NExpTime. Decidability of the finite satisfiability problem remains open.

Data processing Computer scienceclassical decision problem two-variable first-order logic decidability computational complexityddc:004Computer Science::Formal Languages and Automata Theory
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Monitoring road pavement performance through a novel data processing approach, accelerated pavement test results

2020

This research presents a novel performance-based interpretation method for continuous monitoring of pavement condition through the use of piezoelectric sensors. The objective of this study is to validate the compressed cumulative loading event approach, implemented in a previously developed piezoelectric sensor, for detecting subsurface fatigue cracking through full-scale accelerated pavement testing. A piezo-electric film of polyvinylidene fluoride is used to harvest the microstrain energy induced by the traffic loading at the surface. Epoxy is used to protect the sensor following a H-shape packaging. Piezoelectric sensors were exposed to approximately 1.0 million load repetitions between …

Data processingAccelerated pavement testingbusiness.industryPiezoelectric sensorPavement responseContinuous monitoringStructural engineeringLongitudinal strainAccelerated Pavement Testing (APT)Asphalt concreteCrackingEnvironmental scienceStructural health monitoring (SHM)businessStrain gaugeStrain gaugeEnergy (signal processing)Piezoelectric sensor
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Sun Induced Fluorescence Calibration and Validation for Field Phenotyping

2018

Reliable measurements of Sun Induced Fluorescence (SIF) require a good instrument characterization as well as a complex processing chain. In this paper, we summarize the state of the art SIF retrieval methods and measurements platforms for field phenotyping. Furthermore, we use HyScreen, hyperspectral-imaging system for top of canopy measurements of SIF, as an example of the instrument requirements, data process, and data validation needed to obtain reliable measurements of SIF.

Data processingAnd field spectrometerCalibration and validationRetrievals method010504 meteorology & atmospheric sciencesField (physics)FIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTREComputer scienceSun Induced fluorescenceGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERAData validationHyperspectral measurement010501 environmental sciences01 natural sciencesReflectivityFluorescenceField phenotyping0105 earth and related environmental sciencesRemote sensingIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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