Search results for "Modeling"

showing 10 items of 4489 documents

Classes of sum-of-cisoids processes and their statistics for the modeling and simulation of mobile fading channels

2013

Published version of an article in the journal: EURASIP Journal on Wireless Communications and Networking. Also available from the publisher at: http://dx.doi.org/10.1186/1687-1499-2013-125 Open access In this paper, we present a fundamental study on the stationarity and ergodicity of eight classes of sum-of-cisoids (SOC) processes for the modeling and simulation of frequency-nonselective mobile Rayleigh fading channels. The purpose of this study is to determine which classes of SOC models enable the design of channel simulators that accurately reproduce the channel’s statistical properties without demanding information on the time origin or the time-consuming computation of an ensemble ave…

Computer Networks and CommunicationsComputer scienceStochastic processAutocorrelationEnsemble averageErgodicityVDP::Technology: 500::Information and communication technology: 550Computer Science ApplicationsModeling and simulationVDP::Mathematics and natural science: 400::Information and communication science: 420Signal ProcessingStatisticsErgodic theoryFadingCommunication channelRayleigh fadingEURASIP Journal on Wireless Communications and Networking
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On coincidence of feedback and global Stackelberg equilibria in a class of differential games

2021

This paper shows for a class of differential games that the global Stackelberg equilibrium (GSE) coincides with the feedback Stackelberg equilibrium (FSE), although the GSE assumes that the leader/regulator an- nounces at the initial time the regulatory instrument rule she will follow for the rest of the game, while in the FSE, the regulator at any time chooses the optimal level of the regulatory instrument rate. This coincidence is based on the fact that the FSE is calculated using dynamic programming what implies that although the regulator chooses the regulatory instrument rate level that maximizes social welfare, the first-order condition for the maximization of the right-hand side of t…

Computer Science::Computer Science and Game Theory050210 logistics & transportation021103 operations researchInformation Systems and ManagementGeneral Computer ScienceComputer scienceQuantitative Biology::Molecular Networks05 social sciences0211 other engineering and technologies02 engineering and technologyMaximizationManagement Science and Operations ResearchOutcome (game theory)Industrial and Manufacturing EngineeringCoincidenceModeling and Simulation0502 economics and businessDifferential gameStackelberg competitionEconomic modelDifferential (infinitesimal)Mathematical economicsEuropean Journal of Operational Research
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Kernel manifold alignment for domain adaptation

2016

The wealth of sensory data coming from different modalities has opened numerous opportu- nities for data analysis. The data are of increasing volume, complexity and dimensionality, thus calling for new methodological innovations towards multimodal data processing. How- ever, multimodal architectures must rely on models able to adapt to changes in the data dis- tribution. Differences in the density functions can be due to changes in acquisition conditions (pose, illumination), sensors characteristics (number of channels, resolution) or different views (e.g. street level vs. aerial views of a same building). We call these different acquisition modes domains, and refer to the adaptation proble…

Computer and Information SciencesKernel FunctionsInformation Storage and RetrievalSocial Scienceslcsh:Medicine1100 General Agricultural and Biological SciencesResearch and Analysis MethodsInfographicsTopologyPattern Recognition AutomatedKernel MethodsCognitionLearning and MemoryMemory1300 General Biochemistry Genetics and Molecular BiologyImage Interpretation Computer-AssistedData MiningHumansPsychologyLife Science910 Geography & travelOperator TheoryManifoldslcsh:ScienceObject Recognition1000 MultidisciplinaryApplied MathematicsSimulation and ModelingData Visualizationlcsh:RCognitive PsychologyBiology and Life SciencesEigenvaluesFacial ExpressionAlgebra10122 Institute of GeographyLinear AlgebraData Interpretation StatisticalPhysical SciencesCognitive SciencePerceptionlcsh:QEigenvectorsGraphsAlgorithmsMathematicsResearch ArticleNeuroscience
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Does Sedentary Behavior Predict Academic Performance in Adolescents or the Other Way Round? A Longitudinal Path Analysis.

2016

This study examined whether adolescents’ time spent on sedentary behaviors (academic, technological-based and social-based activities) was a better predictor of academic performance than the reverse. A cohort of 755 adolescents participated in a three-year period study. Structural Equation Modeling techniques were used to test plausible causal hypotheses. Four competing models were analyzed to determine which model best fitted the data. The Best Model was separately tested by gender. The Best Model showed that academic performance was a better predictor of sedentary behaviors than the other way round. It also indicated that students who obtained excellent academic results were more likely t…

Computer and Information SciencesSocial SciencesEquipmentlcsh:MedicineAdolescentsStructural equation modelingEducationDevelopmental psychologyFamilies03 medical and health sciences0302 clinical medicineSociology030225 pediatricsCovariateMedicine and Health SciencesPublic and Occupational Health030212 general & internal medicineYoung adultPath analysis (statistics)lcsh:ScienceChildrenSedentary lifestyleCommunication EquipmentBehaviorSchoolsMultidisciplinaryCovarianceComputerslcsh:RBiology and Life SciencesRandom VariablesSedentary behaviorProbability TheoryProsocial behaviorAge GroupsPeople and PlacesPhysical SciencesCohortEngineering and TechnologyPopulation Groupingslcsh:QCell PhonesBehavioral and Social Aspects of HealthPsychologyMathematicsResearch ArticlePLoS ONE
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Estimation of confidence limits for descriptive indexes derived from autoregressive analysis of time series: Methods and application to heart rate va…

2017

The growing interest in personalized medicine requires making inferences from descriptive indexes estimated from individual recordings of physiological signals, with statistical analyses focused on individual differences between/within subjects, rather than comparing supposedly homogeneous cohorts. To this end, methods to compute confidence limits of individual estimates of descriptive indexes are needed. This study introduces numerical methods to compute such confidence limits and perform statistical comparisons between indexes derived from autoregressive (AR) modeling of individual time series. Analytical approaches are generally not viable, because the indexes are usually nonlinear funct…

Computer and Information SciencesStatistical methodsConfidence Intervals; Humans; Monte Carlo Method; Regression Analysis; Heart Rate; Biochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)EntropyCardiologylcsh:MedicineResearch and Analysis MethodsSystems ScienceRegression AnalysiHeart RateConfidence IntervalsMedicine and Health SciencesHumanslcsh:ScienceBiochemistry Genetics and Molecular Biology (all)Simulation and ModelingPhysicslcsh:RProbability TheoryMonte Carlo methodAgricultural and Biological Sciences (all)Nonlinear DynamicsWhite NoiseSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPhysical SciencesSignal ProcessingMathematical and statistical techniquesThermodynamicsEngineering and TechnologyRegression Analysislcsh:QConfidence IntervalMathematicsStatistics (Mathematics)HumanResearch ArticleStatistical DistributionsPLoS ONE
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Computer graphics for quantum computation

2008

Computer graphicsReal-time computer graphicsComputer scienceComputer graphics (images)Software renderingScientific visualizationAlternate frame renderingImage-based modeling and rendering3D computer graphicsRendering (computer graphics)ACM SIGGRAPH 2008 posters
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Unreliable predictions about COVID‐19 infections and hospitalizations make people worry: The case of Italy

2021

Computer modeling &ltmedicine.medical_specialty2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)BioinformaticsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)media_common.quotation_subjectcomputer modeling < biostatistics & bioinformatics; epidemiology; statistical inference < biostatistics & bioinformaticsMEDLINEVirologycomputer modeling < biostatistics & bioinformaticsEpidemiologyHumansMedicineLetters to the EditorIntensive care medicineLetter to the Editormedia_commonSARS-CoV-2business.industryCommunicationBiostatistics &ampCOVID-19Computer modeling &lt; Biostatistics &amp; Bioinformaticsstatistical inference < biostatistics & bioinformaticsVirologyInfectious DiseasesItalyStatistical inference &lt; Biostatistics &amp; BioinformaticsepidemiologyWorrySettore SECS-S/01businessForecastingJournal of Medical Virology
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A computer method for estimating volumes and surface areas of complex structures consisting of overlapping spheres

1992

A PASCAL program which calculates volumes and surface areas of structures consisting of overlapping spheres is designed. The calculation is done by modelling the structure in the memory of a computer and then scanning the memory bit- or bytewise. A brief discussion of the error is presented, and an example for testing the algorithm is provided.

Computer programComputer science010102 general mathematics010103 numerical & computational mathematicsPascal (programming language)Programming method01 natural sciencesComputer Science ApplicationsModelling and SimulationModeling and SimulationSPHERES0101 mathematicsAlgorithmcomputercomputer.programming_languageMathematical and Computer Modelling
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Collaborative body sensor networks: Taxonomy and open challenges

2018

International audience; Single Body Sensor Networks (BSNs) have gained a lot of interest during the past few years. However, the need to monitor the activity of many individuals to assess the group status and take action accordingly has created a new research domain called Collaborative Body Sensor Network (CBSN). In such a new field, understanding CBSN's concept and challenges over the roots requires investigation to allow the development of suitable algorithms and protocols. Although there are many research studies in BSN, CBSN is still in its early phases and studies around it are very few. In this paper, we define and taxonomize CBSN, describe its architecture, and discuss its applicati…

Computer science010401 analytical chemistry[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technology[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation01 natural sciencesData science0104 chemical sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Open research[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]0202 electrical engineering electronic engineering information engineeringResearch studies[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]020201 artificial intelligence & image processing[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]ArchitectureWireless sensor network2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)
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Numerical and experimental analysis of a high innovative hydrofoil

2020

The hydrofoil is a craft where the weight is entirely supported by the lift generated by the submerged part of wings. The particular structure of the craft requires a thorough study of the architecture of the hull, whose structure differs from others high speed vessels since the lift on wing surfaces are transmitted to the hull in limited areas (wing attacks). The authors have developed a research to optimize geometry of hull and wing system on a hydrofoil capable to carry 250 passengers at a speed of 35 knots, operating among Sicilian island. The principal goals of the new hydrofoil concern both the fuel reduction that the improvement of the comfort in terms of seakeeping and levels of aco…

Computer science020101 civil engineeringThrust02 engineering and technologySeakeepingIndustrial and Manufacturing Engineering0201 civil engineering0203 mechanical engineeringHullSettore ING-IND/17 - Impianti Industriali MeccaniciTowing tankTakeoffSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeSettore ING-IND/01 - Architettura NavaleTowingWingExperimental analysisExperimental analysiHydrofoil Towing tank Experimental analysis Economic assessmentVibrationLift (force)020303 mechanical engineering & transportsEconomic assessmentModeling and SimulationHydrofoilMarine engineering
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