Search results for "Machine"

showing 10 items of 2592 documents

Sensorless induction machine drive for fly-wheel generation unit based on a TLS-based non-linear observer

2016

This paper proposes a sensorless technique for an induction machine Flywheel Energy Storage System (FESS) based on a non-linear observer integrated with a total least-squares speed estimator taking into consideration the IM (Induction Machine) saturation effects. The nonlinear observer is based on an original formulation of the dynamic model of the IM including the magnetic saturation, rearranged in a space-state form, after assuming as state variables the stator current and the rotor magnetizing current space-vectors in the stator reference frame. The choice of the observer gain has been made by the use of Lyapunov's method. The speed signal needed by the non-linear observer for the flux e…

Non-linear observerLyapunov functionState variableEngineeringTotal least squaresComputer simulationSensor-less techniquebusiness.industryStatorMagnetic separationEstimatorControl engineeringFlywheellaw.inventionsymbols.namesakeInduction machine driveSettore ING-INF/04 - AutomaticaControl theorylawsymbolsbusinessFlywheel energy storage systemReference frame2016 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)
researchProduct

Natural Language Inference in Ordinary and Support Verb Constructions

2020

The family of clause types known as 'support (or 'light') verb construction' (SVC) manifests a peculiar syntax-semantics interface if compared with ordinary verb constructions (OVC). If, in e.g. She laughed, the verb licenses an argument and assigns it a semantic role, syntacticians of every stripe nowadays agree that it is the noun laugh, in She gave a laugh, which fulfils the same function. The differences between the two types have been extensively discussed in the linguistics literature (systematic research started in the 1970s), less so in Computational Linguistics. This paper has two objectives. First, it will propose an innovative type of semantic role, which is termed Cognate Semant…

Non-verbal predicates Semantic roles Entailments Paraphrasing.Machine translationComputer scienceVerbNotationcomputer.software_genreLinguisticsPredicate (grammar)Settore L-LIN/01 - Glottologia E LinguisticaNounCognateArgument (linguistics)Computational linguisticscomputer
researchProduct

Real-Time Vector Automata

2013

We study the computational power of real-time finite automata that have been augmented with a vector of dimension k, and programmed to multiply this vector at each step by an appropriately selected k×k matrix. Only one entry of the vector can be tested for equality to 1 at any time. Classes of languages recognized by deterministic, nondeterministic, and "blind" versions of these machines are studied and compared with each other, and the associated classes for multicounter automata, automata with multiplication, and generalized finite automata.

Nondeterministic algorithmDiscrete mathematicsMatrix (mathematics)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESFinite-state machineDimension (vector space)Computer scienceMultiplicationNonlinear Sciences::Cellular Automata and Lattice GasesComputer Science::Formal Languages and Automata TheoryAutomatonPower (physics)
researchProduct

Active Learning of Recursive Functions by Ultrametric Algorithms

2014

We study active learning of classes of recursive functions by asking value queries about the target function f, where f is from the target class. That is, the query is a natural number x, and the answer to the query is f(x). The complexity measure in this paper is the worst-case number of queries asked. We prove that for some classes of recursive functions ultrametric active learning algorithms can achieve the learning goal by asking significantly fewer queries than deterministic, probabilistic, and even nondeterministic active learning algorithms. This is the first ever example of a problem where ultrametric algorithms have advantages over nondeterministic algorithms.

Nondeterministic algorithmTheoretical computer scienceActive learning (machine learning)Probabilistic logicNatural numberFunction (mathematics)Inductive reasoningUltrametric spaceAlgorithmMathematicsRandomized algorithm
researchProduct

Combining Inter-Subject Modeling with a Subject-Based Data Transformation to Improve Affect Recognition from EEG Signals

2019

Existing correlations between features extracted from Electroencephalography (EEG) signals and emotional aspects have motivated the development of a diversity of EEG-based affect detection methods. Both intra-subject and inter-subject approaches have been used in this context. Intra-subject approaches generally suffer from the small sample problem, and require the collection of exhaustive data for each new user before the detection system is usable. On the contrary, inter-subject models do not account for the personality and physiological influence of how the individual is feeling and expressing emotions. In this paper, we analyze both modeling approaches, using three public repositories. T…

Normalization (statistics)Data AnalysisSupport Vector MachineDatabases FactualComputer sciencemedia_common.quotation_subjectEmotionsData transformation (statistics)Context (language use)02 engineering and technologyvalence detectionElectroencephalographyAffect (psychology)Machine learningcomputer.software_genrelcsh:Chemical technologyBiochemistryModels BiologicalArticleAnalytical Chemistrydata transformation0202 electrical engineering electronic engineering information engineeringmedicinePersonalityHumanslcsh:TP1-1185EEGElectrical and Electronic EngineeringInstrumentationarousal detectionmedia_commonmedicine.diagnostic_testbusiness.industry020206 networking & telecommunicationsSubject (documents)ElectroencephalographySignal Processing Computer-AssistedAtomic and Molecular Physics and Opticsnormalization020201 artificial intelligence & image processingArtificial intelligencebusinessArousalcomputerSensors
researchProduct

First observation of a baryonic Bc+ decay

2014

A baryonic decay of the $B_c^+$ meson, $B_c^+\to J/\psi p\overline{p}\pi^+$, is observed for the first time, with a significance of $7.3$ standard deviations, in $pp$ collision data collected with the LHCb detector and corresponding to an integrated luminosity of $3.0$ fb$^{-1}$ taken at center-of-mass energies of $7$ and $8$ $\mathrm{TeV}$. With the $B_c^+\to J/\psi \pi^+$ decay as normalization channel, the ratio of branching fractions is measured to be \begin{equation*} \frac{\mathcal{B}(B_c^+\to J/\psi p\overline{p}\pi^+)}{\mathcal{B}(B_c^+\to J/\psi \pi^+)} = 0.143^{\,+\,0.039}_{\,-\,0.034}\,(\mathrm{stat})\pm0.013\,(\mathrm{syst}). \end{equation*} The mass of the $B_c^+$ meson is dete…

Nuclear TheoryAnalytical chemistryGeneral Physics and Astronomy01 natural sciencesSettore FIS/04 - Fisica Nucleare e SubnucleareHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]TOOLFactorizationNuclear ExperimentQCPhysicsPhysicsParticle physics12.39.StPhysical SciencesComputer Science::Mathematical SoftwareFísica nuclearLHCMESONParticle Physics - ExperimentComputer Science::Machine LearningMeson530 Physics14.40.NdPhysics MultidisciplinaryFOS: Physical sciencesPhysics InstituteLHCb - Abteilung HofmannAstrophysics::Cosmology and Extragalactic AstrophysicsComputer Science::Digital LibrariesNONuclear physicsPhysics and Astronomy (all)Hadronic decays of bottom meson0103 physical sciencesPi010306 general physicsScience & Technology010308 nuclear & particles physicshep-exHigh Energy Physics::Phenomenologymeson; toolBaryonLHCb13.25.HwBottom mesons (|B|>0)High Energy Physics::ExperimentFísica de partículesExperiments
researchProduct

The squeezer ion guide

1992

Abstract The properties of an ordinary ion guide can be improved by inserting a grid between the nozzle and the skimmer. When positive ions are transported, an electric potential lower than +10 V is connected to the grid and one of the order of − 10 V to the skimmer. Efficient focusing is achieved between the nozzle and the grid by a combined action of the viscous helium flow field and the weak electric field. The focusing device is called a “squeezer”. It can be extended by adding more grids, a second skimmer, and differential pumping. Contrary to the first grid, the additional elements act more or less like electrostatic lenses in medium vacuum. With the squeezer ion guide, ions created i…

Nuclear and High Energy PhysicsChemistryNozzleUltra-high vacuumSkimmer (machine)Electric potentialAtomic physicsInstrumentationQuadrupole mass analyzerElectrostatic lensIonElectric discharge in gasesNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
researchProduct

The development and status of the IGISOL technique

1997

Abstract The development of the IGISOL technique since its earliest beginnings at the University of Jyvaskyla in the early '80s is reviewed. The processes involved in ion survival in the ion guide are discussed. The design and performance of ion guides for different types of reactions is summarised. The mass-separated beam quality for different skimmer systems is compared.

Nuclear and High Energy PhysicsChemistryNuclear engineeringRadiochemistryion guideMass separationon-line isotope separationMASS SEPARATIONPRODUCTSIonGARIS IGISOLLISOLISOTOPE SEPARATOR ONLINESkimmer (machine)ION-GUIDELaser beam qualityPROTON-INDUCED FISSIONInstrumentationHELIUMNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
researchProduct

Preliminary Thermo-Mechanical Design of the Once Through Steam Generator and Molten Salt Intermediate Heat Exchanger for EU DEMO

2020

The European DEMOnstration power plant (DEMO) is considered to be the nearest-term fusion reactor capable of producing several hundred MWs of net electricity, operating with a closed tritium fuel-cycle (achieving the tritium self-sufficiency), and qualifing technological solutions for a fusion power plant with different breeding blanket (BB) concepts that are under investigation. The BB is a key component for the development of the DEMO plant design and, in particular, of those systems having the responsibility to remove the plasma-generated thermal power and its conversion in the electrical energy. This study deals with the preliminary thermo-mechanical design of the heat exchangers and st…

Nuclear and High Energy PhysicsDEMOnstration power plant (DEMO)Power stationbusiness.industryBoiler (power generation)Thermal power stationFusion powerBlanketCondensed Matter Physics01 natural sciences7. Clean energyGeneralLiterature_MISCELLANEOUS010305 fluids & plasmassteam generatorHeat recovery steam generator0103 physical sciencesHeat exchangerEnvironmental scienceHydraulic machineryProcess engineeringbusinessheat exchangertube sheetBalance of plant (BoP)IEEE Transactions on Plasma Science
researchProduct

Artificial neural networks for neutron/ γ discrimination in the neutron detectors of NEDA

2020

Three different Artificial Neural Network architectures have been applied to perform neutron/? discrimination in NEDA based on waveform and time-of-flight information. Using the coincident ?-rays from AGATA, we have been able to measure and compare on real data the performances of the Artificial Neural Networks as classifiers. While the general performances are quite similar for the data set we used, differences, in particular related to the computing times, have been highlighted. One of the Artificial Neural Network architecture has also been found more robust to time misalignment of the waveforms. Such a feature is of great interest for online processing of waveforms. Narodowe Centrum Nau…

Nuclear and High Energy Physics[formula omitted]-ray spectroscopyNeutron detectorComputer Science::Neural and Evolutionary Computationγ -ray spectroscopy[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]01 natural sciences030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineCoincident0103 physical sciencesMachine learningNeutron detectionWaveformNeutron[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]InstrumentationComputingMilieux_MISCELLANEOUSPhysicsArtificial neural networkArtificial neural networksPulse-shape discriminationn- γ discrimination010308 nuclear & particles physicsbusiness.industryPattern recognitionData setn-[formula omitted] discriminationFeature (computer vision)n-? discriminationAGATAArtificial intelligencey-ray spectroscopybusiness
researchProduct