Search results for "A* algorithm"

showing 10 items of 2538 documents

Performance of $b$-Jet Identification in the ATLAS Experiment

2016

We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF, DNSRC and Lundbeck Foundation, Denmark; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT an…

detector-systems performancePerformance of High Energy Physics Detectorsecondary [vertex]Elementary particle01 natural sciencesPARTONlaw.inventionSubatomär fysikCHANNELcluster findingscattering [p p]impact parameterGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)протон-протонные столкновенияQBLarge detector-systems performanceHigh energy physics detectorLarge Hadron ColliderLarge detector systems for particle and astroparticle physics; Large detector-systems performance; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; Instrumentation; Mathematical Physicstrack data analysisQUARK PAIR PRODUCTIONbottom [jet]CERN LHC CollPattern recognition cluster finding calibration and fitting method7000 GeV-cmscolliding beams [p p]performanceHADRONIC COLLISIONSCiências Naturais::Ciências FísicasLarge detectorFitting methodHigh energy physicATLAS LHC High Energy Physics510 MathematicsmuonDISTRIBUTIONSUncertainty analysis Astroparticle physicHigh Energy Physics010306 general physicsSystematic uncertainties AlgorithmsAstroparticle physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsParticle acceleratorRangingPerformance of High Energy PhysicsCOLLIDERScorrelationExperimental High Energy PhysicsPerformance of High Energy Physics DetectorshadronATLAS детекторБольшой адронный коллайдерcharm [jet]Elementary particleHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)lawSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Detectors and Experimental TechniquesInstrumentationUncertainty analysisMathematical PhysicsPhysicsPattern recognition cluster finding calibration and fitting methods4. EducationATLAS experimentSettore FIS/01 - Fisica SperimentaleDetectorsflavor [jet]calibration and fitting methodsATLASLarge Hadron ColliderLarge detector systems for particle and astroparticle physics; Large; detector-systems performance; Pattern recognition cluster finding; calibration and fitting methods; Performance of High Energy Physics; Detectors; PRODUCTION CROSS-SECTION; QUARK PAIR PRODUCTION; ROOT-S=7 TEV; PARTON; DISTRIBUTIONS; HADRONIC COLLISIONS; MATRIX-ELEMENTS; LHC; COLLIDERS; DETECTOR; CHANNEL8. Economic growthCalibrationparticle identification [bottom]LHCImpact parameterParticle Physics - ExperimentParticle physicsdata analysis method530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciences530MATRIX-ELEMENTSparticle identification [charm]on-line [trigger]Pattern recognition0103 physical sciencesComplementary methodddc:610DETECTORROOT-S=7 TEVCluster findingFísicaLarge detector systems for particle and astroparticle physics; Large detector-systems performance; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics DetectorsPattern recognition systemcalibrationtracksPRODUCTION CROSS-SECTIONefficiencyHadronLarge detector systems for particle and astroparticle physicLargeHigh Energy Physics::ExperimentStatistical correlationstatisticalexperimental results
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Simultaneous Noise and Impedance Fitting to Transition-Edge Sensor Data Using Differential Evolution

2020

We discuss a robust method to simultaneously fit a complex multi-body model both to the complex impedance and the noise data for transition-edge sensors. It is based on a differential evolution (DE) algorithm, providing accurate and repeatable results with only a small increase in computational cost compared to the Levenberg–Marquardt (LM) algorithm. Test fits are made using both DE and LM methods, and the results compared with previously determined best fits, with varying initial value deviations and limit ranges for the parameters. The robustness of DE is demonstrated with successful fits even when parameter limits up to a factor of 10 from the known values were used. It is shown that the…

differential evolutiondifferentiaalievoluutiosignaalinkäsittelygeneettiset algoritmittutkimuslaitteetgenetic algorithmthermal modelanturittransition-edge sensor
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Introduction: Exploring Nordic Game Research

2014

Nordic DiGRA 2012 Conference was held at the University of Tampere on June 6-8, 2012. In this Special Issue of the Transactions of DiGRA journal, we present a selection of the best papers of that conference.

digital gamesMedia studiesLibrary scienceSociologyGame researchSelection (genetic algorithm)digitaaliset pelit
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Decentralized classification in societies of autonomous and heterogenous robots

2011

This paper addresses the classification problem for a set of autonomous robots that interact with each other. The objective is to classify agents that “behave” in “different way”, due to their own physical dynamics or to the interaction protocol they are obeying to, as belonging to different “species”. This paper describes a technique that allows a decentralized classification system to be built in a systematic way, once the hybrid models describing the behavior of the different species are given. This technique is based on a decentralized identification mechanism, by which every agent classifies its neighbors using only local information. By endowing every agent with such a local classifie…

distributed algorithm0106 biological sciencesSpecies classification0209 industrial biotechnologyEngineeringbusiness.industrymulti-robot systemInteraction protocolRoboticsMobile robot02 engineering and technologyAutonomous robotconsensus protocols010603 evolutionary biology01 natural sciencesComputer Science::Multiagent SystemsIdentification (information)020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaRobotArtificial intelligenceSet (psychology)businessClassifier (UML)2011 IEEE International Conference on Robotics and Automation
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Decentralized Deployment of Mobile Sensors for Optimal Connected Sensing Coverage

2008

In this paper, we address the optimal connected sensing coverage problem, i.e., how mobile sensors with limited sensing capabilities can cooperatively adjust their locations so as to maximize the extension of the covered area while avoiding any internal “holes”, areas that are not covered by any sensor. Our solution consists in a distributed motion algorithm that is based on an original extension of the Voronoi tessellation.

distributed algorithmsSettore ING-INF/04 - AutomaticaComputer scienceSoftware deploymentDistributed computingMobile sensorMotion (geometry)Extension (predicate logic)Motion strategysensing coverageVoronoi diagramComputingMethodologies_COMPUTERGRAPHICS
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Pitch tilt rendering for an 8-DOF driving simulator

2015

International audience; Tilt coordination technique is used for reproducing a sustained linear acceleration in driving simulation by tilting the simulator cabin. Thus a part of gravity is interpreted as a horizontal acceleration. Between the slow rotational motion limited by the rotational perception threshold of semi-circular canals of vestibular system and the fast change of acceleration to render, the design of coupling motions of rotation and translation plays a critical role in the realism of driving simulator. We present here an experiment focusing on longitudinal accelerations rendering with pitch tilt coordination technique. Eight drivers experienced the same accelerations and decel…

driving simulationSynthèse d'image et réalité virtuelle [Informatique]vestibular system[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]Modélisation et simulation [Informatique][INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Interface homme-machine [Informatique]pitch acceleration thresholdtilt coordinationPhysics::Accelerator Physics[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]motion cueing algorithm
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A Forensic Diagnostic Algorithm for Drug-Related Deaths: A Case Series

2022

The best evidence provided in the literature worldwide suggests the importance of harmonizing the investigation in drug-related fatalities. In this study, the application of a multidisciplinary approach in eight cases of drug-related deaths is presented. Although death scene findings could be highly suggestive of drug intoxication, external examination and toxicological screening test alone are insufficient. There are several variables, and it is not always easy to give the proper interpretation of the drug detection. A complete autopsy is necessary to correctly complete organ and tissues sampling for further histological and toxicological studies and obtain body fluids. The use of peripher…

drug intoxication diagnosisdrug-related deaths; forensic diagnosis; diagnostic algorithm; drug intoxication diagnosisChemical Health and SafetySettore MED/43 - Medicina LegaleHealth Toxicology and Mutagenesisdrug-related deathSettore BIO/14 - FarmacologiaSettore MED/05 - Patologia Clinicaforensic diagnosiToxicologydiagnostic algorithmToxics
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Considering safety issues in minimum losses reconfiguration for MV distribution networks

2009

This paper offers a new perspective over the traditional problem of the multiobjective optimal reconfiguration of electrical distribution systems in regular working state. The issue is indeed here formulated including also safety issues. Indeed, dimensioning the earth electrodes of their own secondary substations, distribution companies take into account the probable future configurations of the network due to transformations of overhead lines into cable lines or realization of new lines. On the contrary, they do not consider that, during normal working conditions. the structure of the network can be modified for long periods as a consequence of reconfiguration manoeuvres, with differences …

earthing systemEngineeringreconfigurationbusiness.industryEvolutionary algorithmEnergy Engineering and Power TechnologyControl reconfigurationEarthing systemFuzzy logicReliability engineeringlaw.inventionSettore ING-IND/33 - Sistemi Elettrici Per L'Energiamultiobjective optimizationelectrical safetylawElectronic engineeringElectrical and Electronic EngineeringTransformerbusinessDimensioningRemote controlVoltageEuropean Transactions on Electrical Power
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DAE-GP

2020

Estimation of distribution genetic programming (EDA-GP) algorithms are metaheuristics where sampling new solutions from a learned probabilistic model replaces the standard mutation and recombination operators of genetic programming (GP). This paper presents DAE-GP, a new EDA-GP which uses denoising autoencoder long short-term memory networks (DAE-LSTMs) as probabilistic model. DAE-LSTMs are artificial neural networks that first learn the properties of a parent population by mapping promising candidate solutions to a latent space and reconstructing the candidate solutions from the latent space. The trained model is then used to sample new offspring solutions. We show on a generalization of t…

education.field_of_studyArtificial neural networkbusiness.industryComputer scienceOffspringPopulationProbabilistic logicGenetic programmingStatistical model0102 computer and information sciences02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesTree (data structure)Estimation of distribution algorithm010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinesseducationcomputerMetaheuristicProceedings of the 2020 Genetic and Evolutionary Computation Conference
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Evolution of Complex Acoustic Signals in Drosophila Species

2009

species produce complex acous-tic cues, so-called courtship songs, while pursuing a female.In most of the over 100 species studied so far (see thelist of these species in Hoikkala, 2005), such cues areproduced by wing vibration. Other mechanisms of songproduction include abdomen purring (Hoy, Hoikkala, &Kaneshiro, 1988) and rapid vibrations of the whole body(Ritchie & Gleason, 1995). The carrier frequency of songsproduced through any of these actions ranges from 150 to500Hz. A hitherto unknown mechanism enables males ofsome Hawaiian species to generate songs of up to 15,000Hz(Hoikkala, Hoy, & Kaneshiro, 1989).The structure of the courtship songs of closely relatedspecies often reflects phylo…

education.field_of_studyCommunicationPhylogenetic treeMechanism (biology)business.industrymedia_common.quotation_subjectPopulationReproductive isolationBiologybiology.organism_classificationGenetic divergenceCourtshipEvolutionary biologyeducationbusinessDrosophilaSelection (genetic algorithm)media_common
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