Search results for "Entropy"

showing 10 items of 496 documents

Fractional-order theory of thermoelasticicty. I: Generalization of the Fourier equation

2018

The paper deals with the generalization of Fourier-type relations in the context of fractional-order calculus. The instantaneous temperature-flux equation of the Fourier-type diffusion is generalized, introducing a self-similar, fractal-type mass clustering at the micro scale. In this setting, the resulting conduction equation at the macro scale yields a Caputo's fractional derivative with order [0,1] of temperature gradient that generalizes the Fourier conduction equation. The order of the fractional-derivative has been related to the fractal assembly of the microstructure and some preliminary observations about the thermodynamical restrictions of the coefficients and the state functions r…

Uses of trigonometryGeneralization01 natural sciences010305 fluids & plasmasScreened Poisson equationsymbols.namesakeFractional operators0103 physical sciencesFractional Fourier equationMechanics of Material010306 general physicsFourier seriesMathematicsFourier transform on finite groupsEntropy functionsHill differential equationPartial differential equationMechanical EngineeringFourier inversion theoremMathematical analysisTemperature evolutionMechanics of MaterialssymbolsFractional operatorSettore ICAR/08 - Scienza Delle CostruzioniEntropy function
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(Vapour + liquid) equilibria of (water + dimethylformamide): application of the headspace-gas chromatography for the determination of thermodynamic i…

1998

Abstract Isothermal measurements of the partial vapour pressures have been carried out on {water + dimethylformamide (DMF)} at temperatures betweenT=305.15 K andT=323.15 K using an apparatus composed of a headspace sampler and a normal gas chromatograph. These data were simultaneously evaluated in one step with respect to the (composition dependent, integral) Flory-Huggins interaction parametergby means of a new method which minimizes the Gibbs energy of mixing and does not require chemical potentials. The expression forggiven by Koningsveld and Kleintjens, originally designed for polymer solutions, describes the present results best.

Vapor pressureThermodynamicsFlory–Huggins solution theoryEntropy of mixingAtomic and Molecular Physics and OpticsIsothermal processGibbs free energychemistry.chemical_compoundsymbols.namesakechemistrysymbolsDimethylformamideGeneral Materials ScienceGas chromatographyBinary systemPhysical and Theoretical ChemistryThe Journal of Chemical Thermodynamics
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Human Reaction Times: Linking Individual and Collective Behaviour Through Physics Modeling

2021

An individual’s reaction time data to visual stimuli have usually been represented in Experimental Psychology by means of an ex-Gaussian function. In most previous works, researchers have mainly aimed at finding a meaning for the parameters of the ex-Gaussian function which are known to correlate with cognitive disorders. Based on the recent evidence of correlations between the reaction time series to visual stimuli produced by different individuals within a group, we go beyond and propose a Physics-inspired model to represent the reaction time data of a coetaneous group of individuals. In doing so, a Maxwell–Boltzmann-like distribution appeared, the same distribution as for the velocities …

Visual perceptionPhysics and Astronomy (miscellaneous)Distribution (number theory)Experimental psychologyphysical psychologyGeneral Mathematics050105 experimental psychology03 medical and health sciences0302 clinical medicineideal gas theorySimple (abstract algebra)brain thermodynamicsComputer Science (miscellaneous)Entropy (information theory)0501 psychology and cognitive sciencesMeaning (existential)lcsh:Mathematics05 social sciencesCognitionFunction (mathematics)lcsh:QA1-939Chemistry (miscellaneous)reaction timesvisual stimuli030217 neurology & neurosurgeryCognitive psychologySymmetry
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Machinery Failure Approach and Spectral Analysis to Study the Reaction Time Dynamics over Consecutive Visual Stimuli: An Entropy-Based Model.

2020

[EN] The reaction times of individuals over consecutive visual stimuli have been studied using an entropy-based model and a failure machinery approach. The used tools include the fast Fourier transform and a spectral entropy analysis. The results indicate that the reaction times produced by the independently responding individuals to visual stimuli appear to be correlated. The spectral analysis and the entropy of the spectrum yield that there are features of similarity in the response times of each participant and among them. Furthermore, the analysis of the mistakes made by the participants during the reaction time experiments concluded that they follow a behavior which is consistent with …

Visual stimuliMean time between failuresVisual perceptionComputer scienceGeneral MathematicsFast Fourier transform050109 social psychologySpectral analysisPercepció visual03 medical and health sciences0302 clinical medicineFast Fourier transformComputer Science (miscellaneous)0501 psychology and cognitive sciencesSpectral analysisEngineering (miscellaneous)Reaction timebusiness.industrylcsh:MathematicsSpectral entropy05 social sciencesPattern recognitionMTBF modelTempslcsh:QA1-939Time dynamicsFISICA APLICADAArtificial intelligencebusinessMATEMATICA APLICADA030217 neurology & neurosurgery
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Numerical Analysis of Word Frequencies in Artificial and Natural Language Texts

1997

We perform a numerical study of the statistical properties of natural texts written in English and of two types of artificial texts. As statistical tools we use the conventional Zipf analysis of the distribution of words and the inverse Zipf analysis of the distribution of frequencies of words, the analysis of vocabulary growth, the Shannon entropy and a quantity which is a nonlinear function of frequencies of words, the frequency "entropy". Our numerical results, obtained by investigation of eight complete books and sixteen related artificial texts, suggest that, among these analyses, the analysis of vocabulary growth shows the most striking difference between natural and artificial texts…

VocabularyZipf's lawbusiness.industryApplied Mathematicsmedia_common.quotation_subjectNumerical analysisInversecomputer.software_genreWord lists by frequencyModeling and SimulationEntropy (information theory)Geometry and TopologyArtificial intelligencebusinesscomputerNatural language processingNatural languageMathematicsmedia_commonFractals
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Comparison of machine learning models for gully erosion susceptibility mapping

2020

© 2019 China University of Geosciences (Beijing) and Peking University Gully erosion is a disruptive phenomenon which extensively affects the Iranian territory, especially in the Northern provinces. A number of studies have been recently undertaken to study this process and to predict it over space and ultimately, in a broader national effort, to limit its negative effects on local communities. We focused on the Bastam watershed where 9.3% of its surface is currently affected by gullying. Machine learning algorithms are currently under the magnifying glass across the geomorphological community for their high predictive ability. However, unlike the bivariate statistical models, their structu…

Watershed010504 meteorology & atmospheric sciencesComputer scienceBivariate analysisLogistic model tree model010502 geochemistry & geophysicsMachine learningcomputer.software_genre01 natural sciencesLogistic model treeNatural hazardEntropy (information theory)Oil erosion0105 earth and related environmental sciencesbusiness.industrylcsh:QE1-996.5Statistical modelGISlcsh:GeologyITC-ISI-JOURNAL-ARTICLEGeneral Earth and Planetary SciencesAlternating decision treeAlternating decision tree modelArtificial intelligenceITC-GOLDbusinesscomputerDecision tree modelGeoscience Frontiers
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Answering Schrödinger's "What Is Life?"

2020

In his &ldquo

Work (thermodynamics)Computer sciencemedia_common.quotation_subjectdelayed production of entropyGeneral Physics and Astronomylcsh:AstrophysicsSecond law of thermodynamicscode script01 natural sciencesArticle010305 fluids & plasmasaperiodic solidinformation03 medical and health sciencessymbols.namesakecausally efficaciousthermodynamic workentailing lawslcsh:QB460-4660103 physical sciencesboundary conditionslcsh:Scienceconstraint closure030304 developmental biologyPhysical lawmedia_common0303 health sciencesopen-ended evolutionNewtonian paradigmlcsh:QC1-999Aperiodic graphsymbolslcsh:QMathematical economicsconstrained release of energylcsh:PhysicsSchrödinger's catEntropy (Basel, Switzerland)
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A thread through challenging questions

2015

In the pages which follow I shall try to present a network relating some challenging different problems and questions; questions and problems which in different forms have been discussed with Enric along the years. The thread, of course, is constructed by me and now, and is based on my memory, choices and preferences. For these reasons I am not sure that Enric will totally agree with the particular way in which I have intertwined the different elements composing the thread as well as the pieces it connects. However I presume that this thread - also in the specific subjective form as it appears - will show, anyway, some elements of Enric’s activity and the way in which we have interacted alo…

World Wide WebComputational MathematicsFuzzy entropySettore INF/01 - InformaticaComputer scienceComputer Science (miscellaneous)Thread (computing)
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A Constrained Band Selection Method Based on Information Measures for Spectral Image Color Visualization

2011

International audience; We present a new method for the visualization of spectral images, based on a selection of three relevant spectral channels to build a Red-Green-Blue composite. Band selection is achieved by means of information measures at the first, second and third orders. Irrelevant channels are preliminarily removed by means of a center-surround entropy comparison. A visualization-oriented spectrum segmentation based on the use of color matching functions allows for computational ease and adjustment of the natural rendering. Results from the proposed method are presented and objectively compared to four other dimensionality reduction techniques in terms of naturalness and informa…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing010504 meteorology & atmospheric sciencesBand SelectionComputer science0211 other engineering and technologies02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesRendering (computer graphics)Spectrum SegmentationData visualization[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingColor Matching FunctionsEntropy (information theory)Computer visionSegmentationElectrical and Electronic Engineering021101 geological & geomatics engineering0105 earth and related environmental sciencesVisualizationInformation Measuresbusiness.industryDimensionality reductionPattern recognitionImage segmentationVisualizationMulti/hyperspectral imageryGeneral Earth and Planetary SciencesArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Terahertz Biomedical Imaging: From Multivariate Analysis and Detection to Material Parameter Extraction

2017

Terahertz imaging is an interesting route for biomedical analysis. In particular, cancer imaging is a subject of study for different teams [1,2]. A work is done in Bordeaux in partnership with a hospital to do terahertz analysis of breast tissue. This work is done in reflection with time domain imaging setup with fresh samples. The aim is to accurately assess tumor margins and which could in the future allow a quick validation of the precision of the surgical procedure and know if new surgery should be performed. We have presented in a previous paper [3] the use of automatic methods of image generation with different parameters [4] in order to explore the different contrasts that exist in t…

[SDV.MHEP.AHA] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]Multivariate statisticsMultivariate analysis[SPI.OPTI] Engineering Sciences [physics]/Optics / PhotonicTerahertz radiationComputer science[SDV.CAN]Life Sciences [q-bio]/Cancer01 natural sciences010309 optics[SDV.CAN] Life Sciences [q-bio]/CancerComponent analysis0103 physical sciencesMedical imagingElectronic engineering[SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]Entropy (information theory)Time domainComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry0402 animal and dairy sciencePattern recognition04 agricultural and veterinary sciences040201 dairy & animal science3. Good healthFrequency domain[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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