Search results for " Entropy"

showing 10 items of 236 documents

Juggler's exclusion process

2012

Juggler's exclusion process describes a system of particles on the positive integers where particles drift down to zero at unit speed. After a particle hits zero, it jumps into a randomly chosen unoccupied site. We model the system as a set-valued Markov process and show that the process is ergodic if the family of jump height distributions is uniformly integrable. In a special case where the particles jump according to a set-avoiding memoryless distribution, the process reaches its equilibrium in finite nonrandom time, and the equilibrium distribution can be represented as a Gibbs measure conforming to a linear gravitational potential.

Statistics and Probabilityset-valued Markov processmaximum entropy60K35 82C41General Mathematics82C41FOS: Physical sciencesMarkov process01 natural sciencespositive recurrencesymbols.namesakeGravitational potentialMarkov renewal process0103 physical sciencesjuggling patternFOS: MathematicsErgodic theory0101 mathematicsGibbs measureMathematical PhysicsMathematicsDiscrete mathematicsnoncolliding random walkProbability (math.PR)ta111010102 general mathematicsErgodicityMathematical analysisExclusion processMathematical Physics (math-ph)Gibbs measureDistribution (mathematics)set-avoiding memoryless distribution60K35Jumpsymbolsergodicity010307 mathematical physicsStatistics Probability and UncertaintyMathematics - Probability
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Reliability of Short-Term Heart Rate Variability Indexes Assessed through Photoplethysmography

2018

The gold standard method to monitor heart rate variability (HRV) comprises measuring the time series of interbeat interval durations from electrocardiographic (ECG) recordings. However, due to the widespread use, simplicity and usability of photoplethysmographic (PPG) techniques, monitoring pulse rate variability (PRV) from pulse wave recordings has become a viable alternative to standard HRV analysis. The present study investigates the accuracy of PRV, measured as a surrogate of HRV, for the quantification of descriptive indexes computed in the time domain (mean, variance), frequency domain (low-to-high frequency power ratio LF/HF, HF band central frequency) and information domain (entropy…

Supine positionEntropy0206 medical engineeringBiomedical EngineeringHealth Informatics02 engineering and technologySettore ING-INF/01 - ElettronicaRobust regressionElectrocardiography03 medical and health sciences0302 clinical medicineHeart RatePhotoplethysmogramStatisticsHumansHeart rate variabilityTime domainPhotoplethysmographyMathematicsConditional entropyReproducibility of Results020601 biomedical engineeringFrequency domainSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E Informatica030217 neurology & neurosurgeryInterbeat interval
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Cardiovascular and respiratory variability during orthostatic and mental stress: A comparison of entropy estimators

2017

The aim of this study is to characterize cardiovascular and respiratory signals during orthostatic and mental stress as reflected in indices of entropy and complexity, providing a comparison between the performance of different estimators. To this end, the heart rate variability, systolic blood pressure, diastolic blood pressure and respiration time series were extracted from the recordings of 61 healthy volunteers undergoing a protocol consisting of supine rest, head-up tilt test and mental arithmetic task. The analysis was performed in the information domain using measures of entropy and conditional entropy, estimated through model-based (linear) and model-free (binning, nearest neighbor)…

Supine positionEntropySpeech recognitionBiomedical EngineeringBlood PressureHealth InformaticsCardiovascular System01 natural sciences03 medical and health sciencesOrthostatic vital signs0302 clinical medicineHeart RateTilt-Table Test0103 physical sciencesStatisticsHumansHeart rate variabilityEntropy (information theory)Respiratory system010306 general physicsMathematics1707Conditional entropyEstimatorHeartBlood pressureSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaStress Psychological030217 neurology & neurosurgery
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Disentangling cardiovascular control mechanisms during head-down tilt via joint transfer entropy and self-entropy decompositions

2015

A full decomposition of the predictive entropy (PE) of the spontaneous variations of the heart period (HP) given systolic arterial pressure (SAP) and respiration (R) is proposed. The PE of HP is decomposed into the joint transfer entropy (JTE) from SAP and R to HP and self-entropy (SE) of HP. The SE is the sum of three terms quantifying the synergistic/redundant contributions of HP and SAP, when taken individually and jointly, to SE and one term conditioned on HP and SAP denoted as the conditional SE (CSE) of HP given SAP and R. The JTE from SAP and R to HP is the sum of two terms attributable to SAP or R plus an extra term describing the redundant/synergistic contribution to the JTE. All q…

Supine positionInformation storageComputer sciencePhysiologyAutonomic nervous system; Baroreflex; Blood pressure variability; Cardiopulmonary coupling; Heart rate variability; Information dynamics; Multivariate linear regression analysis; Physiology; Physiology (medical)Cardiovascular controlAutonomic Nervous Systemlcsh:PhysiologyNuclear magnetic resonanceCardiopulmonary couplingPhysiology (medical)Cardiac controlHeart rate variabilityOriginal Researchlcsh:QP1-981redundancymultivariate linear regression analysiscardiopulmonary couplingBaroreflexHead-Down TiltInformation dynamicSynergySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaSystolic arterial pressureTransfer entropyblood pressure variabilityMultivariate linear regression analysiinformation dynamicsAlgorithmFrontiers in Physiology
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Detecting self-similarity in surface microstructures

2000

The relative configurational entropy per cell as a function of length scale is a sensitive detector of spatial self-similarity. For Sierpinski carpets the equally separated peaks of the above function appear at the length scales that depend on the kind of the carpet. These peaks point to the presence of self-similarity even for randomly perturbed initial fractal sets. This is also demonstrated for the model population of particles diffusing over the surface considered by Van Siclen, Phys. Rev. E 56 (1997) 5211. These results allow the subtle self-similarity traces to be explored.

Surface (mathematics)Length scalePhysicsCondensed Matter - Materials Scienceeducation.field_of_studySelf-similarityStatistical Mechanics (cond-mat.stat-mech)PopulationConfiguration entropyMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesSurfaces and InterfacesFunction (mathematics)Condensed Matter PhysicsSurfaces Coatings and FilmsSierpinski triangleMaterials ChemistryPoint (geometry)Statistical physicseducationCondensed Matter - Statistical Mechanics
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Thermal potential of ion-exchange membranes and its application to thermoelectric power generation

2016

The low efficiency and high price of thermoelectric semiconductors has generated interest in unconventional forms of thermoelectric materials. In this article, ionic thermoelectricity has been studied with commercial ion-exchange membranes for different aqueous 1:1 electrolytes. The theory of thermal membrane potential has been derived taking into account the ionic heats of transport, the non-isothermal Donnan potentials, the temperature polarization, and the thermally-induced concentration polarization of the electrolyte. Also the generated thermoelectric power has been experimentally studied. The experiments show good agreement with the theory, and suggest ways for systematic improvement …

TRANSPORTED ENTROPYNon-isothermal electrodiffusionHALIDE SOLUTIONSThermodynamicsFiltration and Separation02 engineering and technologyElectrolyte010402 general chemistry01 natural sciencesBiochemistrySeebeck coefficientThermoelectric effectAQUEOUS-SOLUTIONSGeneral Materials SciencePhysical and Theoretical ChemistryPolarization (electrochemistry)NONISOTHERMAL SYSTEMSta116Concentration polarizationIonic heat of transportChemistryTEMPERATURE POLARIZATIONThermal membrane potentialThermoelectric power generation021001 nanoscience & nanotechnologyThermoelectric materialsELECTROLYTE-SOLUTIONSSODIUM-CHLORIDE0104 chemical sciencesIonic Seebeck coefficientThermoelectric generatorMembraneMASS-TRANSPORTIon-exchange membranes0210 nano-technologyCHARGED MEMBRANESSORET COEFFICIENTSJOURNAL OF MEMBRANE SCIENCE
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Grain Boundary Wetting Phenomena in High Entropy Alloys Containing Nitrides, Carbides, Borides, Silicides, and Hydrogen: A Review

2021

This review was written during the preparation of M-era.Net full proposal “Grain boundaries in multicomponent alloys without principal component” (A.Ko., A.Ku., G.L., and E.R., application No 9345). We also acknowledge the support of the KIT-Publication Fund of the Karlsruhe Institute of Technology. The Institute of Solid State Physics, University of Latvia, as a center of excellence, has received funding from the European Union’s Horizon 2020 Framework Programme H2020-WIDESPREAD-01-2016-2017-TeamingPhase2 under grant agreement no. 739508, project CAMART2.

TechnologyCrystallographyQD901-999grain boundary wetting:NATURAL SCIENCES::Physics [Research Subject Categories]precipitationddc:600high entropy alloysphase diagramsphase transitions
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Measuring spectrally-resolved information transfer for sender- and receiver-specific frequencies

2020

AbstractInformation transfer, measured by transfer entropy, is a key component of distributed computation. It is therefore important to understand the pattern of information transfer in order to unravel the distributed computational algorithms of a system. Since in many natural systems distributed computation is thought to rely on rhythmic processes a frequency resolved measure of information transfer is highly desirable. Here, we present a novel algorithm, and its efficient implementation, to identify separately frequencies sending and receiving information in a network. Our approach relies on the invertible maximum overlap discrete wavelet transform (MODWT) for the creation of surrogate d…

Temporal cortexInformation transferComputer scienceInformation theory01 natural sciencesSurrogate data03 medical and health sciences0302 clinical medicine0103 physical sciencesTransfer entropyCommunication sourceInformation flow (information theory)010306 general physicsAlgorithm030217 neurology & neurosurgeryInformation exchange
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Information dynamics: Temporal behavior of uncertainty measures

2008

We carry out a systematic study of uncertainty measures that are generic to dynamical processes of varied origins, provided they induce suitable continuous probability distributions. The major technical tool are the information theory methods and inequalities satisfied by Fisher and Shannon information measures. We focus on a compatibility of these inequalities with the prescribed (deterministic, random or quantum) temporal behavior of pertinent probability densities.

Theoretical computer science03.65.taComputer sciencesmoluchowski processesQC1-999General Physics and AstronomyFOS: Physical sciencesschrödinger picture evolutionInformation theory05.40.jcfisher informationshannon entropyinformation functionalsQuantumCondensed Matter - Statistical MechanicsMathematical Physicsentropy methodsdynamics of probability densitiesQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)02.50.eyPhysicsMathematical Physics (math-ph)information theoretic inequalitiesCompatibility (mechanics)Probability distributionInformation dynamicsQuantum Physics (quant-ph)
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Boosting Textual Compression in Optimal Linear Time

2005

We provide a general boosting technique for Textual Data Compression. Qualitatively, it takes a good compression algorithm and turns it into an algorithm with a better compression performance guarantee. It displays the following remarkable properties: (a) it can turn any memoryless compressor into a compression algorithm that uses the “best possible” contexts; (b) it is very simple and optimal in terms of time; and (c) it admits a decompression algorithm again optimal in time. To the best of our knowledge, this is the first boosting technique displaying these properties.Technically, our boosting technique builds upon three main ingredients: the Burrows--Wheeler Transform, the Suffix Tree d…

Theoretical computer scienceBurrows–Wheeler transformSuffix treeString (computer science)Data_CODINGANDINFORMATIONTHEORYBurrows-Wheeler transformSubstringArithmetic codinglaw.inventionLempel-Ziv compressorsArtificial IntelligenceHardware and ArchitectureControl and Systems Engineeringlawtext compressionempirical entropyArithmetic codingGreedy algorithmTime complexityAlgorithmSoftwareInformation SystemsMathematicsData compression
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