Search results for "Series"

showing 10 items of 1193 documents

Theory of Heterogeneous Circuits With Stochastic Memristive Devices

2022

We introduce an approach based on the Chapman-Kolmogorov equation to model heterogeneous stochastic circuits, namely, the circuits combining binary or multi-state stochastic memristive devices and continuum reactive components (capacitors and/or inductors). Such circuits are described in terms of occupation probabilities of memristive states that are functions of reactive variables. As an illustrative example, the series circuit of a binary memristor and capacitor is considered in detail. Some analytical solutions are found. Our work offers a novel analytical/numerical tool for modeling complex stochastic networks, which may find a broad range of applications.

Computer scienceContinuum (topology)Binary numberCapacitorsMemristorSwitching circuitsTopologyInductorSeries and parallel circuitslaw.inventionComputer Science::Hardware ArchitectureCapacitorRange (mathematics)Mathematical modelComputer Science::Emerging TechnologiesStochastic processesIntegrated circuit modelinglawHardware_INTEGRATEDCIRCUITSElectrical and Electronic EngineeringMemristorsSwitchesElectronic circuitIEEE Transactions on Circuits and Systems II: Express Briefs
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Modelling and Control of a 2-DOF Robot Arm with Elastic Joints for Safe Human-Robot Interaction

2021

Collaborative robots (or cobots) are robots that can safely work together or interact with humans in a common space. They gradually become noticeable nowadays. Compliant actuators are very relevant for the design of cobots. This type of actuation scheme mitigates the damage caused by unexpected collision. Therefore, elastic joints are considered to outperform rigid joints when operating in a dynamic environment. However, most of the available elastic robots are relatively costly or difficult to construct. To give researchers a solution that is inexpensive, easily customisable, and fast to fabricate, a newly-designed low-cost, and open-source design of an elastic joint is presented in this w…

Computer scienceFuzzy logicHuman–robot interactionhuman-robot interactionArtificial IntelligenceControl theorycollaborative robotTJ1-1570Mechanical engineering and machineryVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550series elastic actuatorOriginal ResearchRobotics and AIroboticsbusiness.industryRoboticsQA75.5-76.95Computer Science Applicationsrobot armElectronic computers. Computer scienceControl systemRobotArtificial intelligencebusinessActuatorRobotic armFrontiers in Robotics and AI
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Multiscale Granger causality analysis by à trous wavelet transform

2017

Since interactions in neural systems occur across multiple temporal scales, it is likely that information flow will exhibit a multiscale structure, thus requiring a multiscale generalization of classical temporal precedence causality analysis like Granger's approach. However, the computation of multiscale measures of information dynamics is complicated by theoretical and practical issues such as filtering and undersampling: to overcome these problems, we propose a wavelet-based approach for multiscale Granger causality (GC) analysis, which is characterized by the following properties: (i) only the candidate driver variable is wavelet transformed (ii) the decomposition is performed using the…

Computer scienceGeneralization0206 medical engineering02 engineering and technology01 natural sciencesQuantitative Biology - Quantitative MethodsCausality (physics)WaveletGranger causality0103 physical sciencesTime seriesElectrical and Electronic Engineering010306 general physicsInstrumentationbusiness.industryWavelet transformPattern recognitionFilter (signal processing)multiscale analysi020601 biomedical engineeringUndersamplingscalp EEGQuantitative Biology - Neurons and CognitionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityWavelet transformArtificial intelligencebusiness
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Statistical geometric affinity in human brain electric activity

2007

10 pages, 9 figures.-- PACS nrs.: 87.19.La; 05.45.Tp.-- ISI Article Identifier: 000246890100105

Computer scienceModels NeurologicalNeurophysiologyElectroencephalographyInterpretation (model theory)[PACS] Time series analysis (nonlinear dynamical systems)LacunaritymedicineHumansComputer SimulationDiagnosis Computer-AssistedWakefulnessRepresentation (mathematics)ScalingEvoked PotentialsModels Statisticalmedicine.diagnostic_testbusiness.industry[PACS] Neuroscience (higher organisms)BrainPattern recognitionElectroencephalographyNeurophysiologyAmplitudeStatistical analysisData Interpretation StatisticalBioelectric phenomenaLacunarityAffine transformationArtificial intelligenceSleep StagesbusinessSleep
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An Optimization Device for Series Parallel Connected PV Plants

2017

In this paper it is presented a testing prototype of a reconfiguration system for photovoltaic (PV) plants. The system enables to increase the total energy output by reducing the electrical mismatch between the PV array modules. The architecture of the implemented switching matrix, performing the dynamic electrical interconnections of the PV panels, enables to reconfigure nine solar modules in a series-parallel (SP) configuration. The contribution is organized as follows. A brief state of the art is first presented, followed by a comparison between the SP and Total-Cross-Tied (TCT) connections. The prototype then is thoroughly described as well as the main design choices. Finally some tests…

Computer sciencePhotovoltaic systemExtrapolationControl reconfigurationSeries and parallel circuitsSettore ING-INF/01 - ElettronicaField (computer science)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaReal sizeSettore ING-IND/31 - ElettrotecnicaElectronic engineeringState (computer science)Total energyIndustrial and Manufacturing Engineering reconfiguration system PV plants
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Minimally Invasive Assessment of Mental Stress based on Wearable Wireless Physiological Sensors and Multivariate Biosignal Processing

2019

The development of connected health technologies for the continuous monitoring of the psychophysical state of individuals performing daily life activities requires the aggregation of non-intrusive sensors and the availability of methods and algorithms for extracting the relevant physiological information. The present study proposes an integrated approach for the objective assessment of mental stress which combines wirelessly connected low invasive biosensors with multivariate physiological time series analysis. In a group of 18 healthy subjects monitored in a relaxed resting state and during two experimental conditions inducing mental stress and sustained attention (respectively, mental ari…

Computer scienceWearable computerwearable deviceElectroencephalographySettore ING-INF/01 - Elettronica03 medical and health sciences0302 clinical medicinetime series analysimedicineTime domainBiosignalEEGstress assessmentTime series030304 developmental biology0303 health sciencesResting state fMRImedicine.diagnostic_testbusiness.industryContinuous monitoringPattern recognitionphysiological signalConnected healthSettore ING-INF/06 - Bioingegneria Elettronica E Informaticaphysiological signals EEG stress assessment time series analysis wearable devicesArtificial intelligencebusiness030217 neurology & neurosurgery
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Online mass flow prediction in CFB boilers

2009

Fuel feeding and inhomogeneity of fuel typically cause process fluctuations in the circulating fluidized bed (CFB) process. If control systems fail to compensate for the fluctuations, the whole plant will suffer from fluctuations that are reinforced by the closed-loop controls. This phenomenon causes a reduction of efficiency and lifetime of process components. Therefore, domain experts are interested in developing tools and techniques for getting better understanding of underlying processes and their mutual dependencies in CFB boilers. In this paper we consider an application of data mining technology to the analysis of time series data from a pilot CFB reactor. Namely, we present a rather…

Computer sciencebusiness.industryControl systemMass flowBoiler (power generation)Fluidized bed combustionTime seriesProcess engineeringbusinessSimulationActive noise control
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Network attack detection and classification by the F-transform

2015

We solve the problem of network attack detection and classification. We discuss the way of generation and simulation of an artificial network traffic data. We propose an efficient algorithm for data classification that is based on the F-transform technique. The algorithm successfully passed all tests and moreover, it showed ability to perform classification in an on-line regime.

Computer sciencebusiness.industryData classificationNetwork attackData miningArtificial intelligenceTime seriescomputer.software_genrebusinessMachine learningcomputer2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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Speeding up of microstructure reconstruction: I. Application to labyrinth patterns

2011

Recently, entropic descriptors based the Monte Carlo hybrid reconstruction of the microstructure of a binary/greyscale pattern has been proposed (Piasecki 2011 Proc. R. Soc. A 467 806). We try to speed up this method applied in this instance to the reconstruction of a binary labyrinth target. Instead of a random configuration, we propose to start with a suitable synthetic pattern created by cellular automaton. The occurrence of the characteristic attributes of the target is the key factor for reducing the computational cost that can be measured by the total number of MC steps required. For the same set of basic parameters, we investigated the following simulation scenarios: the biased/rando…

Condensed Matter - Materials ScienceSpeedupMaterials scienceSeries (mathematics)Statistical Mechanics (cond-mat.stat-mech)Monte Carlo methodBinary numberMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesComputational Physics (physics.comp-ph)Condensed Matter PhysicsGrayscaleCellular automatonComputer Science ApplicationsSet (abstract data type)Mechanics of MaterialsModeling and SimulationGeneral Materials ScienceCompleteness (statistics)AlgorithmPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Continuous theory of switching in geometrically confined ferroelectrics

2014

A theory of ferroelectric switching in geometrically confined samples like thin films and multilayers with domain structure has been proposed. For that we use Landau–Khalatnikov (LK) equations with free energy functional being dependent on polarization gradients. In this case, the consistent theory can be developed as for thin ferroelectric films and multilayers the domain structure reduces to Fourier series in ferroelectric polarization. The specific calculations are presented for thin film ferroelectric with dead layers and ferro-/paraelectric multilayer. Our theory is generalizable to ferroelectrics and multiferroics with other geometries.

Condensed Matter::Materials ScienceMaterials scienceCondensed matter physicsMultiferroicsDielectricThin filmCondensed Matter PhysicsPolarization (waves)Fourier seriesFerroelectricityElectronic Optical and Magnetic MaterialsEnergy functionalFerroelectrics
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