Search results for "current"

showing 10 items of 2224 documents

CALYPSO: a new HF RADAR network to monitor sea surface currents in the Malta-Sicily channel (Mediterranean sea)

2016

Located in one of the main shipping lanes in the Mediterranean Sea, and in a strategic region for oil extraction platforms, the Malta-Sicily channel is exposed to significant oil spill risks. Shipping and extraction activities constitute a major threat for marine areas of relevant ecological value in the area, and impacts of oil spills on the local ecosystems and the economic activities, including tourism and fisheries, can be dramatic. Damages would be even more devastating for the Maltese archipelago, where marine resources represent important economic assets. Additionally, North Africa coastal areas are also under threat, due to their proximity to the Malta-Sicily Channel. Prevention and…

Coastal processes Ocean observing systems Instruments and techniques Currents
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Brain Oscillatory and Hemodynamic Activity in a Bimanual Coordination Task Following Transcranial Alternating Current Stimulation (tACS): A Combined …

2018

Motor control is associated with synchronized oscillatory activity at alpha (8–12 Hz) and beta (12–30 Hz) frequencies in a cerebello-thalamo-cortical network. Previous studies demonstrated that transcranial alternating current stimulation (tACS) is capable of entraining ongoing oscillatory activity while also modulating motor control. However, the modulatory effects of tACS on both motor control and its underlying electro- and neurophysiological mechanisms remain ambiguous. Thus, the purpose of this study was to contribute to gathering neurophysiological knowledge regarding tACS effects by investigating the after-effects of 10 Hz tACS and 20 Hz tACS at parietal brain areas on bimanual coord…

Cognitive NeurosciencePosterior parietal cortexElectroencephalographyalpha oscillations050105 experimental psychologybimanual movementslcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicineNeuroimagingmedicine0501 psychology and cognitive scienceslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryTranscranial alternating current stimulationOriginal Researchbeta oscillationsmedicine.diagnostic_testbusiness.industry05 social sciencesMotor controlhigh-definition tACSNeurophysiologyafter-effectsElectrophysiologystomatognathic diseasesNeuropsychology and Physiological Psychologymedicine.anatomical_structurebusinessNeuroscience030217 neurology & neurosurgeryHboxyMotor cortexNeuroscienceFrontiers in Behavioral Neuroscience
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Structure of Kac-Moody groups

2008

For a phys ic i s t , a Kac-Moody algebra is the current algebra of a quantum f i e l d theory model in I + I space-time dimensions with an in terna l symmetry group G [ I ] . A More p rec ise ly , l e t ~ be the Lie algebra of G . The Kac-Moody algebra g is a one-dimensional central extension of the loop algebra Map(S I , g ) . I f f l ' f2 C Map(S I ,~ ) , then the commutator is defined point -wise,

CombinatoricsPhysicsHigh Energy Physics::TheoryCommutatorLoop algebraLine bundleMathematics::Quantum AlgebraLoop groupLie algebraStructure (category theory)Current algebraSymmetry groupMathematics::Representation Theory
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Novel patterns for vector mesons from the large-Nc limit

2008

We report on a relation between the decay constants of \rho-like J^{PC}=1^{--} vector mesons, which arises solely from the perturbative analysis of the VV, TT and VT correlators at order \alpha_s^0 in the large-N_c limit. We find f_{V}^T/f_{V}=1/\sqrt{2} for highly excited states together with a pattern of alternation in sign. Quite remarkably, recent lattice determinations reported f_{\rho}^T/f_{\rho}=0.72(2), in excellent agreement with our large-N_c result. This seems to suggest a pattern like f_{Vn}^T/f_{Vn}=(-1)^n/\sqrt{2} for the whole (1^{--}) states. In order to test this conjecture in real QCD we construct a set of spectral sum rules, which turn out to comply nicely with this scena…

CombinatoricsQuantum chromodynamicsPhysicsNuclear and High Energy PhysicsParticle physicsHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)MesonExcited stateLattice (order)FOS: Physical sciencesSum rule in quantum mechanicsCurrent vector
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High Frequency Model of PV Systems for the Evaluation of Ground Currents

2012

A high frequency model of a photovoltaic (PV) plant is developed and analysed to investigate the common mode (CM) currents circulating through the ground connections of the plant. The modelling method is based on the measurement of the impedance frequency response of photovoltaic module and on a high frequency representation of the power conversion unit. An overall lumped parameters circuit model is obtained and then implemented in PSpice. The CM leakage currents are evaluated by simulation.

Common mode currents.High frequency modelling Parameters identification Photovoltaic plants Common mode currents.Renewable Energy Sustainability and the EnvironmentComputer sciencebusiness.industryPhotovoltaic systemElectrical engineeringEnergy Engineering and Power TechnologySettore ING-IND/31 - ElettrotecnicaPhotovoltaic plantsElectrical and Electronic EngineeringbusinessHigh frequency modellingParameters identificationRenewable Energy and Power Quality Journal
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Evaluation of ground currents in a PV system with high frequency modeling

2018

In this work a high frequency model of a photovoltaic (PV) plant is identified and implemented aiming to investigate the common mode (CM) currents circulating through the ground connections of the plant. From the identification of the impedance obtained by frequency response of photovoltaic module and by a suitable of the power conversion unit, an equivalent high frequency circuit representation has been developed. The lumped parameters circuit model is implemented in PSpice environment to obtain the CM leakage currents. Harmonics at frequencies multiple of the switching frequency and a strong resonance at about 12 MHz are detected.

Common mode currents.Settore ING-IND/31 - ElettrotecnicaParameter identificationRenewable Energy Sustainability and the EnvironmentPhotovoltaic plantsEnergy Engineering and Power TechnologyHigh frequency modellingCommon mode currentPhotovoltaic plant
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The Transcultural Community Resilience Scale: Psychometric Properties and Multinational Validity in the Context of the COVID-19 Pandemic

2021

Few instruments assess community resilience. In the midst of the COVID-19 pandemic, the capacity of communities to support resilience of members deserves to be assessed to develop programs for improving mental health of affected populations. This article presents the development of the Transcultural-Community Resilience Scale (T-CRS), its underlying factorial structure and transcultural validity with a multilingual (English, French, Creole, Kinyarwanda), multinational (DR Congo, Haiti, Rwanda, Togo) and multicultural sample affected by this pandemic. A sample of 1,267 participants (40.9% women) were recruited in the four countries: DRC (n = 626, 43.4% women), Haiti (n = 225, 42.0% women), R…

Community resiliencemedia_common.quotation_subjectConcurrent validityCorrectionConstruct validityContext (language use)Brief Research ReportMental healthConfirmatory factor analysisBF1-990multinational sampleCronbach's alphadepressionmultinational validationPsychologyPsychological resiliencemultilingual samplePsychologyTranscultural Community Resilience Scale psychometric propertiesGeneral PsychologyClinical psychologymedia_commonFrontiers in Psychology
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A simple method to fabricate high-performance nanostructured WO3 photocatalysts with adjusted morphology in the presence of complexing agents

2017

[EN] The rich and complex chemistry of tungsten was employed to synthesize innovative WO3 nanoplatelets/nanosheets by simple anodization in acidic electrolytes containing different concentrations of complexing agents or ligands, namely F- and H2O2. The morphological and photoelectrochemical properties of these nanostructures were characterized. The best of these nanostructures generated stable photocurrent densities of ca. 1.8 mA cm(-2) at relatively low bias potentials (for WO3) of 0.7 V-Ag/AgCl under simulated solar irradiation, which can be attributed to a very high active surface area. This work demonstrates that the morphology and dimensions of these nanostructures, as well as their ph…

Complexing agentsNanostructureMaterials sciencechemistry.chemical_elementNanotechnology02 engineering and technologyElectrolyteTungsten010402 general chemistryElectrochemistry01 natural sciencesINGENIERIA QUIMICACatalysisSynthesislcsh:TA401-492General Materials SciencePhotocatalysisPhotocurrentNanoestructuresAnodizingMechanical EngineeringHydrogen peroxide021001 nanoscience & nanotechnologyWO3 nanostructures0104 chemical sciencesElectroquímicachemistryMechanics of MaterialsPhotocatalysislcsh:Materials of engineering and construction. Mechanics of materialsAnodization0210 nano-technology
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On the Computational Complexity of Binary and Analog Symmetric Hopfield Nets

2000

We investigate the computational properties of finite binary- and analog-state discrete-time symmetric Hopfield nets. For binary networks, we obtain a simulation of convergent asymmetric networks by symmetric networks with only a linear increase in network size and computation time. Then we analyze the convergence time of Hopfield nets in terms of the length of their bit representations. Here we construct an analog symmetric network whose convergence time exceeds the convergence time of any binary Hopfield net with the same representation length. Further, we prove that the MIN ENERGY problem for analog Hopfield nets is NP-hard and provide a polynomial time approximation algorithm for this p…

Computational complexity theoryCognitive NeuroscienceComputationBinary numberHopfield networkTuring machinesymbols.namesakeRecurrent neural networkArts and Humanities (miscellaneous)Convergence (routing)symbolsTime complexityAlgorithmMathematicsNeural Computation
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RNN- and LSTM-Based Soft Sensors Transferability for an Industrial Process

2021

The design and application of Soft Sensors (SSs) in the process industry is a growing research field, which needs to mediate problems of model accuracy with data availability and computational complexity. Black-box machine learning (ML) methods are often used as an efficient tool to implement SSs. Many efforts are, however, required to properly select input variables, model class, model order and the needed hyperparameters. The aim of this work was to investigate the possibility to transfer the knowledge acquired in the design of a SS for a given process to a similar one. This has been approached as a transfer learning problem from a source to a target domain. The implementation of a transf…

Computational complexity theoryProcess (engineering)Computer sciencesulfur recovery unit02 engineering and technologytransfer learningMachine learningcomputer.software_genrelcsh:Chemical technologyBiochemistryRNNField (computer science)ArticleAnalytical ChemistryDomain (software engineering)0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationsystem identificationHyperparameterbusiness.industry020208 electrical & electronic engineeringdynamical modelsSystem identificationAtomic and Molecular Physics and OpticsNonlinear systemRecurrent neural networksoft sensors020201 artificial intelligence & image processingArtificial intelligenceTransfer of learningbusinessLSTMcomputerDynamical models; LSTM; RNN; Soft sensors; Sulfur recovery unit; System identification; Transfer learningSensors
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