Search results for "Fitting"

showing 10 items of 225 documents

A Characterization of the Class of Finite Groups with Nilpotent Derived Subgroup

2002

The class of all finite groups with nilpotent commutator subgroup is characterized as the largest subgroup-closed saturated formation 𝔉 for which the 𝔉-residual of a group generated by two 𝔉-subnormal subgroups is the subgroup generated by their 𝔉–residuals.

Normal subgroupDiscrete mathematicsMathematics::Group TheoryPure mathematicsMaximal subgroupGeneral MathematicsCommutator subgroupOmega and agemo subgroupNilpotent groupCharacteristic subgroupCentral seriesFitting subgroupMathematicsMathematische Nachrichten
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On finite groups generated by strongly cosubnormal subgroups

2003

[EN] Two subgroups A and B of a group G are cosubnormal if A and B are subnormal in their join and are strongly cosubnormal if every subgroup of A is cosubnormal with every subgroup of B. We find necessary and sufficient conditions for A and B to be strongly cosubnormal in and, if Z is the hypercentre of G=, we show that A and B are strongly cosubnormal if and only if G/Z is the direct product of AZ/Z and BZ/Z. We also show that projectors and residuals for certain formations can easily be constructed in such a group. Two subgroups A and B of a group G are N-connected if every cyclic subgroup of A is cosubnormal with every cyclic subgroup of B (N denotes the class of nilpotent groups). Thou…

Normal subgroupFinite groupHypercentreAlgebra and Number TheoryStrongly cosubnormal subgroupsFormationN-connected subgroupsFitting subgroupCombinatoricsSubnormal subgroupSubgroupLocally finite groupCharacteristic subgroupIndex of a subgroupFinite groupMATEMATICA APLICADAMatemàticaSubnormal subgroupMathematicsNilpotent group
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Optimal design algorithm for seismic retrofitting of RC columns with steel jacketing technique

2020

Abstract Steel jacketing (SJ) of beams and columns is widely employed as retrofitting technique to provide additional deformation and strength capacity to existing reinforced concrete (RC) frame structures. The latter are many times designed without considering seismic loads, or present inadequate seismic detailing. The use of SJ is generally associated with non-negligible costs depending on the amount of structural work and non-structural manufacturing and materials. Moreover, this kind of intervention results in noticeable downtime for the building. This paper presents a new optimization framework which is aimed at obtaining minimization of retrofitting costs by optimizing the position an…

Optimal design0209 industrial biotechnologyDowntimeComputer scienceOpenSEESSeismic loadingsteel jacketing02 engineering and technologyIndustrial and Manufacturing EngineeringEngineering optimizationSettore ICAR/09 - Tecnica Delle Costruzioni020303 mechanical engineering & transports020901 industrial engineering & automationOpenSees0203 mechanical engineeringArtificial IntelligenceconfinementGenetic algorithmRetrofittingSeismic retrofitconfinement; OpenSEES; optimization; steel jacketing; stress-strain curvestress-strain curveAlgorithmoptimization
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A PSO algorithm for designing 3d highway alignments adopting polynomial solutions

2017

Intelligent optimization algorithms for highway alignments have produced good results so far. However, considering the numerous constraints and factors directly implied in the infrastructure design, the researchers' efforts usually focus only on simplifying the alignment choice, supporting engineers in the design phase. Implementing strategic considerations regarding comfort and safety would be also very important. In this paper, the authors propose a method for designing improved 3D highway alignments using a specific optimization algorithm, based on a Swarm Intelligence technique, adopting an innovative polynomial transition curve as the unique horizontal curvature element, called PPC (Po…

OptimizationArtificial intelligenceDesignPolynomial approximationPSO3D highway alignmentCurve fittingSettore ICAR/04 - Strade Ferrovie Ed AeroportiAlignment Artificial intelligence Curve fitting Design Optimization Polynomial approximationtransition curveAlignment
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Organizational technology as a mediating variable in centralization‐formalization fit

2012

PurposeWith a view to contributing to a better understanding of the interactions between design dimensions, the authors aim to present a formal model that analyzes the internal fit relationship between centralization and formalization, taking into account organizational technology and the “systems approach”.Design/methodology/approachBased on the study by Zeffane, the authors develop an alternative, formal model that introduces organizational technology and assumes that greater structural control does not necessarily lead to better organizational integration. The model equally considers the possibilities of underfit and overfit.FindingsThe proposed formal model provides a sound rationale on…

Organizational architectureManagement scienceComputer sciencebusiness.industryOrganizational studiesOrganizational engineeringEquifinalityManagement Science and Operations ResearchOverfittingGeneral Business Management and AccountingOrganizational performanceOrganizational learningOperations managementContingencybusinessManagement Decision
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Nonlinearities in amoxycillin pharmacokinetics. II. Absorption studies in the rat.

1992

Most factors influencing amoxycillin oral absorption are, even today, unknown. Since many dosage schedules have been shown to lead to incomplete absorption, it would be desirable to find a suitable animal model where these factors could be studied in depth. In this paper, it is shown that, in the rat, plasma level curves obtained after oral doses of 7 and 28 mg kg-1 are poorly fitted using first-order absorption kinetics and that the best fit is obtained through the use of an input equation combining zero and first-order kinetics. In contrast, plasma level curves found after intraduodenal administration of amoxycillin solutions (7 mg kg-1) are well fitted by first-order input kinetics. It w…

PharmacologyAbsorption (pharmacology)MaleChemistryKineticsPharmaceutical ScienceAmoxicillinBiological AvailabilityRats Inbred StrainsGeneral MedicinePharmacologyAmoxicillinModels BiologicalIntestinal absorptionBioavailabilityRatsPharmacokineticsIntestinal AbsorptionOral administrationCurve fittingmedicineAnimalsPharmacology (medical)medicine.drugBiopharmaceuticsdrug disposition
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Operation and first results of the NEXT-DEMO prototype using a silicon photomultiplier tracking array

2013

NEXT-DEMO is a high-pressure xenon gas TPC which acts as a technological test-bed and demonstrator for the NEXT-100 neutrinoless double beta decay experiment. In its current configuration the apparatus fully implements the NEXT-100 design concept. This is an asymmetric TPC, with an energy plane made of photomultipliers and a tracking plane made of silicon photomultipliers (SiPM) coated with TPB. The detector in this new configuration has been used to reconstruct the characteristic signature of electrons in dense gas, demonstrating the ability to identify the MIP and "blob" regions. Moreover, the SiPM tracking plane allows for the definition of a large fiducial region in which an excellent e…

PhotomultiplierMECANICA DE LOS MEDIOS CONTINUOS Y TEORIA DE ESTRUCTURASPhysics - Instrumentation and DetectorsPhysical measurementsParticle tracking detectors (Gaseous detectors)Time projection chambersPattern recognition SystemsFísica -- Mesuramentschemistry.chemical_elementFOS: Physical sciencesTracking (particle physics)01 natural sciences7. Clean energyTECNOLOGIA ELECTRONICAXenonSilicon photomultiplierOpticsCluster analysisDouble beta decayPattern recognition0103 physical sciencesCalibrationReconeixement de formes (Informàtica)Calibratge010306 general physicsInstrumentationImage resolutionMathematical PhysicsDetectors de radiacióPhysicsCalibration and fitting methods010308 nuclear & particles physicsbusiness.industryDetectorCluster findingFísicaInstrumentation and Detectors (physics.ins-det)Double-beta decay detectorsAnàlisi de conglomeratschemistryNuclear countersCalibrationbusiness
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Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks

2021

The Pierre Auger Observatory, at present the largest cosmic-ray observatory ever built, is instrumented with a ground array of 1600 water-Cherenkov detectors, known as the Surface Detector (SD). The SD samples the secondary particle content (mostly photons, electrons, positrons and muons) of extensive air showers initiated by cosmic rays with energies ranging from $10^{17}~$eV up to more than $10^{20}~$eV. Measuring the independent contribution of the muon component to the total registered signal is crucial to enhance the capability of the Observatory to estimate the mass of the cosmic rays on an event-by-event basis. However, with the current design of the SD, it is difficult to straightfo…

PhotonPhysics::Instrumentation and DetectorsAstronomyElectron01 natural sciencesHigh Energy Physics - ExperimentAugerHigh Energy Physics - Experiment (hep-ex)mass [cosmic radiation]surface [detector]Observatory[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]photon: cosmic radiationInstrumentationMathematical PhysicsPhysicsAGASAPhysicsSettore FIS/01 - Fisica SperimentaleDetectorcosmic radiation [photon]Astrophysics::Instrumentation and Methods for AstrophysicsMonte Carlo [numerical calculations]electromagnetic [showers]Augerobservatorycosmic radiation [electron]Analysis and statistical methodsnumerical calculations: Monte CarloAnalysis and statistical methodperformancepositron: cosmic radiationatmosphere [showers]Cherenkov detectordata analysis methodAnalysis and statistical methods; Calibration and fitting methods; Cherenkov detectors; Cluster finding; Large detector systems for particle and astroparticle physics; Pattern recognitionCherenkov counter: waterairneural networkAstrophysics::High Energy Astrophysical Phenomena610FOS: Physical sciencesCosmic raycosmic radiation [positron]cosmic radiation: massCalibration and fitting methodNuclear physicsstatistical analysisPattern recognition0103 physical sciencesshowers: electromagneticddc:530ddc:610High Energy Physics010306 general physicsZenithPierre Auger ObservatoryCalibration and fitting methodscosmic radiation [muon]Muonshowers: atmosphere010308 nuclear & particles physicsdetector: surfacehep-exLarge detector systems for particle and astroparticle physicswater [Cherenkov counter]Cherenkov detectorsCluster findingelectron: cosmic radiationRecurrent neural networkmuon: cosmic radiationLarge detector systems for particle and astroparticle physicExperimental High Energy PhysicsHigh Energy Physics::ExperimentRAIOS CÓSMICOSexperimental results
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Nanosecond-level time synchronization of autonomous radio detector stations for extensive air showers

2016

To exploit the full potential of radio measurements of cosmic-ray air showers at MHz frequencies, a detector timing synchronization within 1 ns is needed. Large distributed radio detector arrays such as the Auger Engineering Radio Array (AERA) rely on timing via the Global Positioning System (GPS) for the synchronization of individual detector station clocks. Unfortunately, GPS timing is expected to have an accuracy no better than about 5 ns. In practice, in particular in AERA, the GPS clocks exhibit drifts on the order of tens of ns. We developed a technique to correct for the GPS drifts, and an independent method is used to cross-check that indeed we reach a nanosecond-scale timing accura…

Physics - Instrumentation and DetectorsAutomatic dependent surveillance-broadcastComputer scienceCiencias FísicasAstronomyDetector alignment and calibration methods (lasers sources particle-beams)Calibration and fitting methods; Cluster finding; Detector alignment and calibration methods (lasers sources particle-beams); Pattern recognition; Timing detectors01 natural sciencesTiming detectorsSynchronizationHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)Sine wave[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]InstrumentationMathematical PhysicsTransmitterDetectorSettore FIS/01 - Fisica Sperimentaleparticle-beams)Instrumentation and Detectors (physics.ins-det)Pattern recognition cluster finding calibration and fitting methodGlobal Positioning SystemComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearCIENCIAS NATURALES Y EXACTASsourcesReal-time computingFOS: Physical sciencesCalibration and fitting methodClustersPattern recognition0103 physical sciencesCalibrationHigh Energy Physics010306 general physicsCiencias ExactasCalibration and fitting methods010308 nuclear & particles physicsbusiness.industryCluster findingFísicaAstroparticles//purl.org/becyt/ford/1.3 [https]PhaserAstronomíaDetector alignment and calibration methods (lasersTiming detectorPierre AugerExperimental High Energy PhysicsRECONHECIMENTO DE PADRÕESCalibration and fitting methods; Cluster finding; Detector alignment and calibration methods (lasers sources particle-beams); Pattern recognition; Timing detectors; Instrumentation; Mathematical PhysicsbusinessJournal of Instrumentation
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A layer correlation technique for pion energy calibration at the 2004 ATLAS Combined Beam Test

2010

A new method for calibrating the hadron response of a segmented calorimeter is developed and successfully applied to beam test data. It is based on a principal component analysis of energy deposits in the calorimeter layers, exploiting longitudinal shower development information to improve the measured energy resolution. Corrections for invisible hadronic energy and energy lost in dead material in front of and between the calorimeters of the ATLAS experiment were calculated with simulated Geant4 Monte Carlo events and used to reconstruct the energy of pions impinging on the calorimeters during the 2004 Barrel Combined Beam Test at the CERN H8 area. For pion beams with energies between 20GeV…

Physics - Instrumentation and DetectorsCiências Naturais::Ciências FísicasPhysics::Instrumentation and Detectors:Ciências Físicas [Ciências Naturais]Monte Carlo methodFOS: Physical sciencesddc:500.201 natural sciences7. Clean energyPartícules (Física nuclear)Settore FIS/04 - Fisica Nucleare e SubnucleareHigh Energy Physics - ExperimentNuclear physicsCalorimetersHigh Energy Physics - Experiment (hep-ex)PionAtlas (anatomy)calorimeter methods ; pattern recognition ; cluster finding ; calibration and fitting methods ; calorimeters ; detector modelling and simulations0103 physical sciencesCalibrationmedicine[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Calorimeter methods010306 general physicsNuclear ExperimentInstrumentationMathematical PhysicsPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Science & TechnologyLarge Hadron Collider010308 nuclear & particles physicsPattern recognition cluster finding calibration and fitting methodsSettore FIS/01 - Fisica SperimentaleATLAS experimentInstrumentation and Detectors (physics.ins-det)Calorimetermedicine.anatomical_structureExperimental High Energy PhysicsComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearHigh Energy Physics::ExperimentBeam (structure)Journal of Instrumentation
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