Search results for "computation"

showing 10 items of 7362 documents

Fault diagnosis of induction motors broken rotor bars by pattern recognition based on noise cancelation

2014

Current signal monitoring (CSM) can be used as an effective tool for diagnosing broken rotor bars fault in induction motors. In this paper, fault diagnosis and classification based on artificial neural networks (ANNs) is done in two stages. In the first stage, a filter is designed to remove irrelevant fault components (such as noise) of current signals. The coefficients of the filter are obtained by least square (LS) algorithm. Then by extracting suitable time domain features from filter's output, a neural network is trained for fault classification. The output vector of this network is represented in one of four categories that includes healthy mode, a 5 mm crack on a bar, one broken bar, …

removing irrelevant fault componentsEngineeringArtificial neural networkneural networkRotor (electric)Bar (music)business.industryComputer Science::Neural and Evolutionary ComputationFilter (signal processing)Fault (power engineering)law.inventionNoisefault diagnosis and classificationControl and Systems Engineeringlawfault diagnosis and classification; neural network; removing irrelevant fault components; Stator current signal monitoring; Electrical and Electronic Engineering; Control and Systems EngineeringElectronic engineeringTime domainElectrical and Electronic EngineeringStator current signal monitoringbusinessAlgorithmInduction motor2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)
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Selecting the special or choosing the common? A high-powered conceptual replication of Kim and Markus’ (1999) pen study

2022

Kim and Markus (1999) found that 74% of Americans selected a pen with an uncommon (vs. common) color, whereas only 24% of Asians made such a choice, highlighting a pronounced crosscultural difference in the extent to which people opt for originality or make majority-based choices. The present high-powered study (N = 729) conceptually replicates the results from Kim and Markus (1999; Study 3). However, our obtained effect size (r = .12) is significantly weaker than that of the original study (r = .52). Interestingly, given the globalization of mass media and the rapid economic progress of many Asian cultures during the last decades, a larger proportion of Chinese, but not American, participa…

replicationself-construalSocial PsychologyComputer sciencecollectivistuniquenessAMERICANCross-culturalComputational biologySocial and Behavioral SciencesSELFReplication (computing)CULTUREFOS: PsychologyVDP::Samfunnsvitenskap: 200::Psykologi: 260individualisticCOGNITIONPsychologyMETAANALYSISVIVIDNESSADVERTISING APPEALSGENERATIONThe Journal of Social Psychology
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Sur la réductibilité des graphes de contraintes géométriques

2017

La modélisation géométrique par contraintes dont les applications intéressent des communautés issues de divers domaines tels l'ingénierie mécanique, la conception assistée par ordinateur, le calcul symbolique ou la chimie moléculaire est maintenant intégré dans les outils standards de modélisation. Dans cette discipline une forme géométrique est spécifiée par les relations que doivent vérifier les composants de cette forme au lieu de spécifier explicitement ces composants. Le but de la résolution est de déduire la forme répondant à toutes ces contraintes. Diverses méthodes ont été proposées pour résoudre ce problème. Nous nous intéresserons spécifiquement aux méthodes dites graphiques ou ba…

réductibilitéModélisation géométrique 2D[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]contraintes géométriques[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
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Improving the Downwind Sail Design Process by Means of a Novel FSI Approach

2021

The process of designing a sail can be a challenging task because of the difficulties in predicting the real aerodynamic performance. This is especially true in the case of downwind sails, where the evaluation of the real shapes and aerodynamic forces can be very complex because of turbulent and detached flows and the high-deformable behavior of structures. Of course, numerical methods are very useful and reliable tools to investigate sail performances, and their use, also as a result of the exponential growth of computational resources at a very low cost, is spreading more and more, even in not highly competitive fields. This paper presents a new methodology to support sail designers in ev…

sail loadsComputer sciencefinite element methodNaval architecture. Shipbuilding. Marine engineeringVM1-989020101 civil engineeringOcean Engineering02 engineering and technologycomputational fluid dynamicsGC1-1581Computational fluid dynamicsOceanography01 natural sciences010305 fluids & plasmas0201 civil engineeringcomputational fluid dynamic0103 physical sciencesFSISettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeWater Science and TechnologyCivil and Structural EngineeringParametric statisticsbusiness.industryNumerical analysisProcess (computing)Aerodynamicssail designFinite element methodgennakerAerodynamic forceDesign processbusinessMarine engineeringJournal of Marine Science and Engineering
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Some Investigations on Similarity Measures Based on Absent Words

2019

In this paper we investigate similarity measures based on minimal absent words, introduced by Chairungsee and Crochemore in [1]. They make use of a length-weighted index on a sample set corresponding to the symmetric difference M(x)ΔM(y) of the minimal absent words M(x) and M(y) of two sequences x and y, respectively. We first propose a variant of this measure by choosing as a sample set a proper subset (x, y) of M(x)ΔM(y), which appears to be more appropriate for distinguishing x and y. From the algebraic point of view, we prove that (x, y) is the base of the ideal generated by M(x)ΔM(y). We then remark that such measures are able to recognize whether the sequences x and y share a common s…

sequence comparisonAlgebra and Number TheorySettore INF/01 - Informaticabusiness.industryComputer sciencePattern recognitionsimilarity measuresMinimal absent wordsTheoretical Computer ScienceComputational Theory and MathematicsSimilarity (network science)Artificial intelligencebusinessInformation SystemsFundamenta Informaticae
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Shape identification in inverse medium scattering problems with a single far-field pattern

2016

Consider time-harmonic acoustic scattering from a bounded penetrable obstacle $D\subset {\mathbb R}^N$ embedded in a homogeneous background medium. The index of refraction characterizing the material inside $D$ is supposed to be Holder continuous near the corners. If $D\subset {\mathbb R}^2$ is a convex polygon, we prove that its shape and location can be uniquely determined by the far-field pattern incited by a single incident wave at a fixed frequency. In dimensions $N \geq 3$, the uniqueness applies to penetrable scatterers of rectangular type with additional assumptions on the smoothness of the contrast. Our arguments are motivated by recent studies on the absence of nonscattering waven…

shape identificationInversenonscattering wavenumbersType (model theory)Convex polygon01 natural sciencesinverse medium scatteringMathematics - Analysis of PDEs78A46FOS: MathematicsWavenumberUniquenessHelmholtz equation0101 mathematicsMathematicsSmoothness (probability theory)ScatteringApplied Mathematics010102 general mathematicsMathematical analysista111uniqueness74B05010101 applied mathematicsComputational Mathematics35R30Bounded functionAnalysisAnalysis of PDEs (math.AP)SIAM Journal on Mathematical Analysis
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Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory

2021

The atmospheric depth of the air shower maximum $X_{\mathrm{max}}$ is an observable commonly used for the determination of the nuclear mass composition of ultra-high energy cosmic rays. Direct measurements of $X_{\mathrm{max}}$ are performed using observations of the longitudinal shower development with fluorescence telescopes. At the same time, several methods have been proposed for an indirect estimation of $X_{\mathrm{max}}$ from the characteristics of the shower particles registered with surface detector arrays. In this paper, we present a deep neural network (DNN) for the estimation of $X_{\mathrm{max}}$. The reconstruction relies on the signals induced by shower particles in the groun…

showers: energylongitudinal [showers]interaction: modelPhysics::Instrumentation and DetectorsAstronomyCalibration and fitting methods; Cluster finding; Data analysis; Large detector systems for particle and astroparticle physics; Particle identification methods; Pattern recognition01 natural sciencesHigh Energy Physics - ExperimentAugerHigh Energy Physics - Experiment (hep-ex)Particle identification methodscluster findingsurface [detector]ObservatoryLarge detector systemsInstrumentationMathematical PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEPhysicsPattern recognition cluster finding calibration and fitting methodsPhysicsSettore FIS/01 - Fisica Sperimentalemodel [interaction]DetectorAstrophysics::Instrumentation and Methods for AstrophysicsData analysicalibration and fitting methodsenergy [showers]AugerobservatoryPattern recognition cluster finding calibration and fitting methodastroparticle physicsAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomenaatmosphere [showers]airneural networkAstrophysics::High Energy Astrophysical PhenomenaUHE [cosmic radiation]Data analysisFOS: Physical sciences610Cosmic raydetector: fluorescencePattern recognition0103 physical sciencesddc:530High Energy Physicsddc:610[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]cosmic radiation: UHEstructureparticle physicsnetwork: performance010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Ciencias ExactasCherenkov radiationfluorescence [detector]Pierre Auger ObservatoryCalibration and fitting methodsmass spectrum [nucleus]showers: atmospheredetector: surfacehep-ex010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsCluster findingFísicaresolutioncalibrationComputational physicsperformance [network]Cherenkov counterAir showerLarge detector systems for particle and astroparticle physicExperimental High Energy PhysicsHigh Energy Physics::Experimentnucleus: mass spectrumshowers: longitudinalRAIOS CÓSMICOSEnergy (signal processing)astro-ph.IM
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Synthesis, characterization, and reactivity of heavier group 13 and 14 metallylenes and metalloid clusters : small molecule activation and more

2015

small molecule activationkemiallinen synteesipienmolekyylitsynthesispuolimetallitmolekyylitmain group chemistrylaskennallinen kemiacomputational chemistrykemialliset sidoksetmetalloid clustersmetallylenesnanohiukkasetröntgenkristallografiaX-ray crystallography
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Computational Rationality as a Theory of Interaction

2022

Funding Information: This work was funded by the Finnish Center for AI and Academy of Finland (“BAD” and “Human Automata”). We thank our reviewers, Xiuli Chen, Joerg Mueller, Christian Guckelsberger, Sebastiaan de Peuter, Samuel Kaski, Pierre-Alexandre Murena, Antti Keuru-lainen, Suyog Chandramouli, and Roderick Murray-Smith for their comments. Publisher Copyright: © 2022 ACM. How do people interact with computers? This fundamental question was asked by Card, Moran, and Newell in 1983 with a proposition to frame it as a question about human cognition - in other words, as a matter of how information is processed in the mind. Recently, the question has been reframed as one of adaptation: how …

sopeutuminenmallintaminenatk-laitteetreinforcement learninguser modelscognitive scienceihmisen ja tietokoneen vuorovaikutushuman-centered computinginteractionadaptationHCI theory concepts and modelstekoälyartificial intelligencekognitiotiedephilosophical/ theoretical foundations of artificial intelligenceteoriatCognitive modelingtietokoneetcomputing methodologiesindividual differencescomputational rationality
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Modelling flow and heat transfer in spacer-filled membrane distillation channels using open source CFD code

2013

Abstract A good understanding of the details of hydrodynamic and heat transport conditions and their impact on temperature polarisation and pressure drops is essential for optimum design of membrane distillation (MD) modules. To this end, the present work reports on initial progress in the development of a tool for 3D simulation of spacer-filled MD channels based on the open source CFD code library OpenFOAM. The paper discusses a number of modelling and implementation aspects including model geometry and computational domain, choice of boundary conditions, and discretisation schemes. The results pertaining to the effect of three different spacer types on the fluid dynamics and heat transfer…

spacer-filled channelPressure dropSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciEngineeringWork (thermodynamics)business.industryMechanical EngineeringGeneral Chemical EngineeringFlow (psychology)temperature polarisationMechanical engineeringMembrane distillationGeneral ChemistryComputational fluid dynamicsMembrane distillationHeat transferFluid dynamicsspacerGeneral Materials ScienceBoundary value problemCFDbusinessWater Science and TechnologyDesalination
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