Search results for "Algorithm"

showing 10 items of 4887 documents

Search for Cosmic Neutrino Point Sources with Four Year Data of the ANTARES Telescope

2012

In this paper, a time-integrated search for point sources of cosmic neutrinos is presented using the data collected from 2007 to 2010 by the ANTARES neutrino telescope. No statistically significant signal has been found and upper limits on the neutrino flux have been obtained. Assuming an E ¿2 n; spectrum, these flux limits are at 1-10 ¿10¿8 GeV cm¿2 s¿1 for declinations ranging from ¿90° to 40°. Limits for specific models of RX J1713.7¿3946 and Vela X, which include information on the source morphology and spectrum, are also given.

cosmic neutrinosUNIVERSEFluxVela01 natural scienceslaw.inventionHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)lawSIGNALSABSORPTION[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]MAXIMUM-LIKELIHOOD010303 astronomy & astrophysicsATMOSPHERIC MUONSPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)COSMIC cancer database[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]ASTRONOMYneutrinosastroparticle physicsFísica nuclearNeutrinoAstrophysics - High Energy Astrophysical PhenomenaREMNANT RX J1713.7-3946Particle physics[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Astrophysics::High Energy Astrophysical PhenomenaNeutrino telescope[SDU.STU]Sciences of the Universe [physics]/Earth SciencesFOS: Physical sciencesddc:500.2Telescopeneutrinos; cosmic rays; astroparticle physicscosmic rays0103 physical sciencesPoint (geometry)ALGORITHMNeutrinosDETECTORCosmic raysUNDERWATER CHERENKOV NEUTRINO TELESCOPES010308 nuclear & particles physicsAstronomy and AstrophysicsHIGH-ENERGY PHOTONSSpace and Planetary ScienceFISICA APLICADAAstroparticle physics
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Probing the origin of ultra-high-energy cosmic rays with neutrinos in the EeV energy range using the Pierre Auger Observatory

2019

Neutrinos with energies above 1017 eV are detectable with the Surface Detector Array of the Pierre Auger Observatory. The identification is efficiently performed for neutrinos of all flavors interacting in the atmosphere at large zenith angles, as well as for Earth-skimming τ neutrinos with nearly tangential trajectories relative to the Earth. No neutrino candidates were found in ∼ 14.7 years of data taken up to 31 August 2018. This leads to restrictive upper bounds on their flux. The 90% C.L. single-flavor limit to the diffuse flux of ultra-high-energy neutrinos with an Eν -2 spectrum in the energy range 1.0 × 1017 eV -2.5 × 1019 eV is E2 dNν/dEν < 4.4 × 10-9 GeV cm-2 s-1 sr-1, placing str…

cosmological neutrinosAstronomyFluxAstrophysics01 natural sciences7. Clean energycosmic ray experiments; cosmological neutrinos; neutrino astronomy; ultra high energy cosmic rayssurface [detector]Ultra-high-energy cosmic rayPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)cosmological neutrinoSettore FIS/01 - Fisica SperimentaleDETETORESneutrino: UHEUHE [neutrino]Augerobservatorytrajectoryneutrino: flavorProduction (computer science)NeutrinoAstrophysics - High Energy Astrophysical PhenomenaAstrophysics::High Energy Astrophysical PhenomenaUHE [cosmic radiation]FOS: Physical sciencescosmic ray experimentCosmic rayultra high energy cosmic raysneutrino: productionneutrino astronomyproduction [neutrino]TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0103 physical sciencesddc:530model [neutrino]High Energy Physicscosmic radiation: UHEZenithAstrophysiqueneutrino: modelPierre Auger ObservatorySPECTRUM010308 nuclear & particles physicsdetector: surfaceHigh Energy Physics::Phenomenologyflavor [neutrino]Astronomy and AstrophysicsAstronomiefluxExperimental High Energy PhysicsatmosphereHigh Energy Physics::Experimentcosmic ray experiments[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Energy (signal processing)
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Ferro- and Antiferromagnetic Interactions in Oxalato-Centered Inverse Hexanuclear and Chain Copper(II) Complexes with Pyrazole Derivatives.

2021

Two novel copper(II) complexes of formulas {[Cu(4-Hmpz)4][Cu(4-Hmpz)2(µ3-ox-κ2O1,O2:κO2′:κO1′)(ClO4)2]}n (1) and {[Cu(3,4,5-Htmpz)4]2[Cu(3,4,5-Htmpz)2(µ3-ox-κ2O1,O2:κO2′:κO1′)(H2O)(ClO4)]2[Cu2(3,4,5-Htmpz)4(µ-ox-κ2O1,O2:κ2O2′,O1′)]}(ClO4)4·6H2O (2) have been obtained by using 4-methyl-1H-pyrazole (4-Hmpz) and 3,4,5-trimethyl-1H-pyrazole (3,4,5-Htmpz) as terminal ligands and oxalate (ox) as the polyatomic inverse coordination center. The crystal structure of 1 consists of perchlorate counteranions and cationic copper(II) chains with alternating bis(pyrazole)(µ3-κ2O1,O2:κO2′:κO1′-oxalato)copper(II) and tetrakis(pyrazole)copper(II) fragments. The crystal structure of 2 is made up of perchlorat…

crystal structurePharmaceutical Sciencechemistry.chemical_elementCrystal structurePyrazoleOxalateArticleAnalytical ChemistryPerchloratechemistry.chemical_compoundQD241-441TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYDrug DiscoveryAntiferromagnetismPhysical and Theoretical Chemistrypolynuclear complexesOrganic ChemistryPolyatomic ioninverse coordination chemistryoxalatoCopperpyrazoleCrystallographycoordination polymerschemistryChemistry (miscellaneous)Intramolecular forcecopperMolecular Medicinemagnetic propertiesMolecules (Basel, Switzerland)
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How can algorithms help in segmenting users and customers? : A systematic review and research agenda for algorithmic customer segmentation

2023

What algorithm to choose for customer segmentation? Should you use one algorithm or many? How many customer segments should you create? How to evaluate the results? In this research, we carry out a systematic literature review to address such central questions in customer segmentation research and practice. The results from extracting information from 172 relevant articles show that algorithmic customer segmentation is the predominant approach for customer segmentation. We found researchers employing 46 different algorithms and 14 different evaluation metrics. For the algorithms, K-means clustering is the most employed. For the metrics, separation-focused metrics are slightly more prevalent…

customer segmentationmachine learningkoneoppiminenAIalgoritmittekoälyalgorithmssystemaattiset kirjallisuuskatsauksetasiakassegmentointi
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A deterministic simulation study of embryo marker-assisted selection for age at first calving in Nellore (Bos indicus) beef cattle

2007

Submitted by Guilherme Lemeszenski (guilherme@nead.unesp.br) on 2013-08-22T19:04:58Z No. of bitstreams: 1 S1415-47572007000400008.pdf: 85300 bytes, checksum: 7422029b120457123fb366c1bd71e758 (MD5) Made available in DSpace on 2013-08-22T19:04:58Z (GMT). No. of bitstreams: 1 S1415-47572007000400008.pdf: 85300 bytes, checksum: 7422029b120457123fb366c1bd71e758 (MD5) Previous issue date: 2007-01-01 Made available in DSpace on 2013-09-30T20:08:32Z (GMT). No. of bitstreams: 2 S1415-47572007000400008.pdf: 85300 bytes, checksum: 7422029b120457123fb366c1bd71e758 (MD5) S1415-47572007000400008.pdf.txt: 39461 bytes, checksum: 2796161439379a834535eeaff8aac2ba (MD5) Previous issue date: 2007-01-01 Submitt…

dairy-cattlelcsh:QH426-470Ice calvingefficient productionBeef cattleBiologyAnimal Breeding and Genomicsbreeding schemesmarker-assisted selectionmultistage selectionoutbred populationage at first calvingMarker assisted selectionAnimal sciencebeef cattleGenetic variationGeneticsFokkerij en GenomicaMolecular BiologySelection (genetic algorithm)Dairy cattlereproductive traitsbusiness.industryfungibovine preimplantation embryosfood and beveragesBeef cattlegenetic-linkage mapMarker-assisted selectionrespiratory systemBiotechnologyTransplantationlcsh:Geneticspre-selectionGenetic gainsingle blastomerequantitative trait lociWIASbusiness
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Algorytmy — nowy wymiar nadzoru i kontroli nad świadczącym pracę

2020

Autor wskazuje, że algorytmy stają się kluczową technologią władzy nad świadczącym pracę. Pozwalają na sformatowanie zarówno samych pracowników, jak i wzajemnych oddziaływań między nimi zasadniczo w jednym celu — optymalizacji procesów pracy służących zwiększeniu wydajności. Z tej perspektywy pracownik jest cyfrowym modelem zbudowanym z danych i informacji. Oznacza to, że wszelkie jego ekspresje ujawniane w środowisku pracy będą mogły być mierzalne, i to na rożne sposoby. Algorytmy rzucają również nowe światło na zagadnienie podporządkowania w zatrudnieniu. A wszystko dzięki ,,wtapianiu się” ich w środowisko danych biometrycznych osób świadczących pracę. W pewien sposób przejmują one własno…

dane biometrycznepodporządkowanie technologicznetechnological subordinationbiometric dataPolitical sciencealgorytmy uczenia głębokiegodeep learning algorithmsalgorithmic enterprisesAlgorithmprzedsiębiorstwa algorytmiczneinformacjainformationPraca i Zabezpieczenie Społeczne
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Track finding at Belle II

2021

Computer physics communications 259, 107610 (2021). doi:10.1016/j.cpc.2020.107610

data analysis methodPhysics - Instrumentation and DetectorsComputer scienceReal-time computingFOS: Physical sciencesGeneral Physics and AstronomyBELLETrack (rail transport)01 natural sciences530programming010305 fluids & plasmasHigh Energy Physics - ExperimentTracking algorithmsHigh Energy Physics - Experiment (hep-ex)Tracking detectorsSoftware0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Belle II; Tracking algorithms; Tracking detectorsBelle IIddc:530[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsSpurious relationshipSelection (genetic algorithm)Event reconstructionbusiness.industrytrack data analysisInstrumentation and Detectors (physics.ins-det)Modular designResolution (logic)charged particleHardware and Architecturebusinessperformance
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Col : A Data Collection Protocol for Vanet

2012

International audience; In this paper, we present a protocol to collect data within a vehicular ad hoc network (VANET). In spite of the intrinsic dynamic of such network, our protocol simultaneously offers three relevant properties: (1) It allows any vehicle to collect data beyond its direct neighborhood (i.e., vehicles within direct communication range) using vehicle-to-vehicle communications only (i.e., the infrastructure is not required); (2) It tolerates possible network partitions; (3) It works on demand and stops when the data collection is achieved. To the best of our knowledge, this is the first collect protocol having these three characteristics. All that is chiefly obtained thanks…

data collection protocolVehicular communication systemsVANETCorrectnessnetwork operator antComputer sciencedata acquisitionDistributed computing[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]self-stabilization area02 engineering and technologyVehicle dynamics[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Transient analysis[SPI]Engineering Sciences [physics]0203 mechanical engineeringvehicular ad hoc networkvehicle to vehicle communication0202 electrical engineering electronic engineering information engineeringAlgorithm design and analysisHeuristic algorithmsCOL algorithmProtocol (object-oriented programming)ComputingMilieux_MISCELLANEOUSAirplug software distributionVehicular ad hoc networkData collectionbusiness.industryNetwork partitionnetwork partition020206 networking & telecommunications020302 automobile design & engineeringVehiclesSoftware distributionRoadsAlgorithm designvehicular ad hoc networksbusinessProtocolsComputer network
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UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

2021

Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in mul…

data collection scenariosTK7800-8360Computer Networks and CommunicationsProcess (engineering)Computer scienceDistributed computingComputerApplications_COMPUTERSINOTHERSYSTEMSwireless sensor networks (WSNs)mobile robotsenergy consumptionComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSunmanned aerial vehicles (UAVs)Electrical and Electronic EngineeringData collectionControl algorithmcommunication structuresCommunication structures Control algorithms Data collection scenarios Energy consumption Mobile robots Unmanned aerial vehicles (UAVs) Wireless sensor networks (WSNs)Mobile robotEnergy consumptionSettore ING-IND/31 - ElettrotecnicaHardware and ArchitectureControl and Systems EngineeringSignal Processingcontrol algorithmsElectronicsMobile deviceWireless sensor networkLimited resourcesElectronics
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Data-Driven Evolutionary Optimization: An Overview and Case Studies

2019

Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. In solving many real-world optimization problems, however, such objective functions may not exist, instead computationally expensive numerical simulations or costly physical experiments must be performed for fitness evaluations. In more extreme cases, only historical data are available for performing optimization and no new data can be generated during optimization. Solving evolutionary optimization problems driven by data collected in simulations, physical experiments, production processes, or daily life are termed data-driven evolutionary optimization. In this…

data-driven optimizationMathematical optimizationOptimization problemmodel managementevoluutiolaskenta02 engineering and technologymatemaattinen optimointiEvolutionary computationTheoretical Computer ScienceData modelingData-drivenModel managementkoneoppiminenComputational Theory and MathematicsdatatiedeoptimointiTaxonomy (general)Constraint functionsalgoritmit0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingsurrogateevolutionary algorithmsSoftware
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