Search results for "Information Theory"

showing 10 items of 664 documents

Variational parabolic capacity

2015

We establish a variational parabolic capacity in a context of degenerate parabolic equations of $p$-Laplace type, and show that this capacity is equivalent to the nonlinear parabolic capacity. As an application, we estimate the capacities of several explicit sets.

p-parabolic equationcapacityApplied Mathematicsta111Mathematical analysisDegenerate energy levelsMathematics::Analysis of PDEsContext (language use)Parabolic cylinder functionType (model theory)Parabolic partial differential equationHeat capacityNonlinear systemdegenerate parabolic equationsnonlinear potential theoryDiscrete Mathematics and CombinatoricsAnalysisComputer Science::Information TheoryMathematicsDiscrete and Continuous Dynamical Systems
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Model of line to shield power line communication system on a Medium Voltage network

2010

In this paper a complete model of a power line communication (PLC) system on a Medium Voltage (MV) network is presented in the case of a line-ground configuration. A simple and friendly Simulink (R) software is used to develop the model. A distributed parameter MV cable model in line-ground configuration is considered together with the power transformers, the signal coupling networks and the receiving and transmitting line coupling interface of a ST7540 FSK powerline transceiver. The performances of the complete PLC communication system are evaluated for different line lengths by means of the attenuation computed as ratio between the received and transmitted voltage signals.

power line communicationEngineeringFrequency-shift keyingbusiness.industryElectrical engineeringattenuation constantCommunications systemSignalPower-line communicationPower system simulationmedium voltageElectronic engineeringLine (text file)Transceiverbusinessmedium voltage power line communication attenuation constantComputer Science::Information TheoryVoltage2010 IEEE Instrumentation & Measurement Technology Conference Proceedings
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Linear Types for Higher Order Processes with First Class Directed Channels

1995

Abstract We present a small programming language for distributed systems based on message passing processes. In contrast to similar languages, channels are one-to-one connections between a unique sender and a unique receiver process. Process definitions and channels are first class values and the topology of process systems can change dynamically. The operational semantics of the language is defined by means of graph rewriting rules. A static type system based on the notion of linear types ensures that channels are always used as one-to-one connections.

process algebrasGraph rewritinggraph rewritingTheoretical computer scienceGeneral Computer ScienceProcess (engineering)Computer scienceMessage passinglinear typesTopology (electrical circuits)Communicating sequential processesType (model theory)Operational semanticsTheoretical Computer Scienceoperational semanticsComputer Science::Programming Languagesdistributed programmingcomputerComputer Science(all)Computer Science::Information Theorycomputer.programming_languageElectronic Notes in Theoretical Computer Science
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GRANULAR-INFORMATION-BASED RISK ANALYSIS IN UNCERTAIN SITUATIONS

2006

In the real life almost all of the decisions that we have to make incorporate uncertainty about the future events. Assessment of the uncertainty and, thus, the risk that is inherent in these decisions models can be critical. It is even truer if we are talking about the possibility of negative impact on the environment. It is very important to assess all the environmental risks in a project if there is any hazard to the environment. In this paper the possibility of using granular information is considered. The main advantage of the granular information is that it can be used to assess risks in situations when information about future events is incomplete and imprecise. Moreover, we can use n…

risk analysis; fuzzy logic; f-granules; reasoning under uncertainty; entropyRisk analysis (engineering)Probabilistic logicEntropy (information theory)Fuzzy logicNatural languageMathematicsEnvironment. Technology. Resources. Proceedings of the International Scientific and Practical Conference
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Habit and physical activity: Theoretical advances, practical implications, and agenda for future research

2019

Abstract Objective Understanding habits may inform intervention development aimed at promoting physical activity maintenance for long-term health. In the present article, I review theory and research on habits applied to physical activity. I provide an overview of contemporary conceptualizations of habit and habit theory; address whether or not physical activity can be habitual; review perspectives on how physical activity habits develop; summarize research on effects of physical activity habits; identify intervention strategies effective in promoting physical activity habits; and propose an agenda for future research on physical activity habits. Design and Methods Conceptual and narrative …

self-regulationbehavior changemedia_common.quotation_subjectApplied psychologyPsychological interventionitsesääntelyAutomaticityrutiinitautomaticity050105 experimental psychology03 medical and health sciences0302 clinical medicinePromotion (rank)tavat (toimintatavat)Intervention (counseling)0501 psychology and cognitive sciencesta315ta515Applied Psychologymedia_commonConceptualizationIntegrated information theory05 social sciencesBehavior changebehavioral intervention030229 sport sciencesroutinepast behaviorHabitPsychologyfyysinen aktiivisuusPsychology of Sport and Exercise
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Beware of contagion!

2003

Landscape ecology starts from the assumption that diversity and spatial arrangement of ecosystem mosaics has ecological implications and tries to understand the interactions between diversity and structure of large spatially heterogeneous areas and its ecological functions. This approach implies effective use of earth observation techniques and geographic information systems, enabling a global view of the landscape mosaics. Consequently, a large number of indices has been used to quantify the structure of categorical maps as a surrogate of actual landscapes and correlate them to ecological processes. In particular, the entropy-based contagion index has been extensively used to summarize the…

shannon's entropyGeographic information systemEcologyPixelEcologybusiness.industryComputer scienceLandscape epidemiologycategorical maps; evenness; fragmentation; shannon's entropy; shannon’s entropycomputer.file_formatManagement Monitoring Policy and Lawcategorical mapsUrban Studiesshannon’s entropyfragmentationAdjacency listEntropy (information theory)evennessRaster graphicsLandscape ecologybusinessCartographyCategorical variablecomputerNature and Landscape Conservation
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A Telemetry, Tracking, and Command Antennas System for Small-Satellite Applications

2019

Circularly polarized (CP) antennas are used in space applications for telemetry tracking and command (TT&amp

small satellitesComputer Networks and CommunicationsFrequency bandTT&amplcsh:TK7800-836002 engineering and technologyTracking (particle physics)circular patchOpticsCircular patch; Circular polarization; Small satellites; TT&CComputer Science::Systems and ControlCTelemetryTelecommunications link0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringCircular polarizationComputer Science::Information TheoryPatch antennaPhysicsbusiness.industryAxial ratio020208 electrical & electronic engineeringlcsh:ElectronicsAstrophysics::Instrumentation and Methods for Astrophysics020206 networking & telecommunicationsHardware and ArchitectureControl and Systems EngineeringPhysics::Space PhysicsSignal Processingcircular polarizationAntenna (radio)businessSmall satelliteElectronics
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Inferring directionality of coupled dynamical systems using Gaussian process priors: Application on neurovascular systems

2022

Dynamical system theory has recently shown promise for uncovering causality and directionality in complex systems, particularly using the method of convergent cross mapping (CCM). In spite of its success in the literature, the presence of process noise raises concern about CCM's ability to uncover coupling direction. Furthermore, CCM's capacity to detect indirect causal links may be challenged in simulated unidrectionally coupled Rossler-Lorenz systems. To overcome these limitations, we propose a method that places a Gaussian process prior on a cross mapping function (named GP-CCM) to impose constraints on local state space neighborhood comparisons. Bayesian posterior likelihood and…

stochastic analysis methodsstatistical physicsneuronal dynamics01 natural sciencesCausality03 medical and health sciencesnonlinear dynamics0302 clinical medicinephase space methodstime series analysis0103 physical sciencesSettore ING-INF/06 - Bioingegneria Elettronica E Informaticabiological physics010306 general physics030217 neurology & neurosurgeryinformation theoryPhysical Review E
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A comparison between two feature selection algorithms

2017

This article provides a comparison of two feature selection algorithms, Information Gain Thresholding and Koller and Sahami's algorithm in the context of text document classification on the Reuters Corpus Volume 1 dataset. The algorithms were evaluated by testing the performance of classifiers trained on the features they select from a given dataset. Results show that Koller and Sahami's algorithm consistently outperforms Information Gain Thresholding by capturing interactions between features and avoiding redundancy among features, although it achieves its gains through increased complexity and longer running time.

symbols.namesakeTruncation selectionRedundancy (information theory)Computer scienceFeature extractionsymbolsMarkov processFeature selectionAlgorithm designThresholdingAlgorithmRunning time2017 21st International Conference on System Theory, Control and Computing (ICSTCC)
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Computing variations of entropy and redundancy under nonlinear mappings not preserving the signal dimension: quantifying the efficiency of V1 cortex

2021

In computational neuroscience, the Efficient Coding Hypothesis argues that the neural organization comes from the optimization of information-theoretic goals [Barlow Proc.Nat.Phys.Lab.59]. A way to confirm this requires the analysis of the statistical performance of biological systems that have not been statistically optimized [Renart et al. Science10, Malo&Laparra Neur.Comp.10, Foster JOSA18, Gomez-Villa&Malo J.Neurophysiol.19]. However, when analyzing the information-theoretic performance, cortical magnification in the retina-cortex pathway poses a theoretical problem. Cortical magnification stands for the increase the signal dimensionality [Cowey&Rolls Exp. Brain Res.74]. Conventional mo…

symbols.namesakeWaveletRedundancy (information theory)Dimension (vector space)Computer scienceJacobian matrix and determinantsymbolsEntropy (information theory)Total correlationEfficient coding hypothesisAlgorithmCurse of dimensionalityProceedings of Entropy 2021: The Scientific Tool of the 21st Century
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