Search results for " image processing."

showing 10 items of 2265 documents

Method to find the Minimum 1D Linear Gradient Model for Seismic Tomography

2016

The changes in the state of a geophysical medium before a strong earthquake can be found by studying of 3D seismic velocity images constructed for consecutive time windows. A preliminary step is to see changes with time in a minimum 1D model. In this paper we develop a method that finds the parameters of the minimum linear gradient model by applying a two-dimensional Taylor series of the observed data for the seismic ray and by performing least-square minimization for all seismic rays. This allows us to obtain the mean value of the discrete observed variable, close to zero value.

Local earthquake tomography02 engineering and technology010502 geochemistry & geophysics01 natural sciencesTheoretical Computer SciencePhysics::Geophysicssymbols.namesakeTime windowsLinear gradient of velocity0202 electrical engineering electronic engineering information engineeringTaylor series0105 earth and related environmental sciencesAlgebra and Number TheoryZero (complex analysis)State (functional analysis)GeodesyLinear gradientVariable (computer science)Computational Theory and MathematicsLíkönSeismic tomographysymbols020201 artificial intelligence & image processingMinificationJarðskjálftarMinimum 1D modelGeologyJarðskjálftamælingarInformation Systems
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Coarse-Grained Barrier Trees of Fitness Landscapes

2016

Recent literature suggests that local optima in fitness landscapes are clustered, which offers an explanation of why perturbation-based metaheuristics often fail to find the global optimum: they become trapped in a sub-optimal cluster. We introduce a method to extract and visualize the global organization of these clusters in form of a barrier tree. Barrier trees have been used to visualize the barriers between local optima basins in fitness landscapes. Our method computes a more coarsely grained tree to reveal the barriers between clusters of local optima. The core element is a new variant of the flooding algorithm, applicable to local optima networks, a compressed representation of fitnes…

Local optima networksTheoretical computer scienceFitness landscapeComputer scienceSearch difficulty0102 computer and information sciences02 engineering and technology01 natural sciencesLocal optimum0202 electrical engineering electronic engineering information engineeringCluster (physics)Disconnectivity graphRepresentation (mathematics)MetaheuristicNK-landscapesFlooding algorithmbusiness.industryFitness landscape analysisBig valleyLocal optima networksTree (data structure)010201 computation theory & mathematicsBarrier tree020201 artificial intelligence & image processingArtificial intelligencebusiness
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Fuzzifying topology induced by a strong fuzzy metric

2016

A construction of a fuzzifying topology induced by a strong fuzzy metric is presented. Properties of this fuzzifying topology, in particular, its convergence structure are studied. Our special interest is in the study of the relations between products of fuzzy metrics and the products of the induced fuzzifying topologies.

Logic010102 general mathematicsStructure (category theory)02 engineering and technologyTopologyNetwork topology01 natural sciencesFuzzy logicArtificial IntelligenceMetric (mathematics)Convergence (routing)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0101 mathematicsTopology (chemistry)MathematicsFuzzy Sets and Systems
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Performance evaluation of different techniques to estimate subjective quality in live video streaming applications over LTE-Advance mobile networks

2018

Abstract Current mobile service providers are offering Gigabit Internet access over LTE-Advanced networks. Traditional services, such as live video streaming, over wired networks are feasible on these networks. However different aspects should be taken into account due to the fast changing network conditions as well as the constrained resources of the mobile phones, in order to provide a good subjective video quality in terms of Mean Opinion Score (MOS). Our goal is to estimate and predict this subjective metric without information or reference from the original video, known as Non Reference approach. This approach is important for the Service Provider from a practical point of view, becaus…

Lossless compressionbusiness.product_categoryComputer Networks and CommunicationsComputer scienceMean opinion scoremedia_common.quotation_subject020206 networking & telecommunications02 engineering and technologyService providerVideo qualitycomputer.software_genreComputer Science ApplicationsHardware and ArchitectureMobile phoneBit rate0202 electrical engineering electronic engineering information engineeringInternet access020201 artificial intelligence & image processingQuality (business)Data miningbusinesscomputerSubjective video qualityMobile servicemedia_commonJournal of Network and Computer Applications
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A construction of a fuzzy topology from a strong fuzzy metric

2016

<p>After the inception of the concept of a fuzzy metric by I. Kramosil and J. Michalek, and especially after its revision by A. George and G. Veeramani, the attention of many researches was attracted to the topology induced by a fuzzy metric. In most of the works devoted to this subject the resulting topology is an ordinary, that is a crisp one. Recently some researchers showed interest in the fuzzy-type topologies induced by fuzzy metrics. In particular, in the paper  (J.J. Mi\~{n}ana, A. \v{S}ostak, {\it Fuzzifying topology induced by a strong fuzzy metric}, Fuzzy Sets and Systems,  6938 DOI information: 10.1016/j.fss.2015.11.005.) a fuzzifying topology ${\mathcal T}:2^X \to [0,1]$ …

Lowen $\omega$-functorFuzzy setfuzzy topology02 engineering and technologyFuzzy subalgebralcsh:AnalysisNetwork topology01 natural sciencesFuzzy logicCombinatorics0202 electrical engineering electronic engineering information engineeringFuzzifying topology0101 mathematicsTopology (chemistry)Lowen $\omega$-functor.MathematicsDiscrete mathematicsFuzzy topologylcsh:Mathematics010102 general mathematicsfuzzifying topologylower semicontinuous functionslcsh:QA299.6-433Fuzzy metricFuzzy pseudo metriclcsh:QA1-939Fuzzy topologyLower semicontinuous functionsFuzzy mathematicsMetric (mathematics)fuzzy metric020201 artificial intelligence & image processingGeometry and TopologyApplied General Topology
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Finite-Time H∞ Filtering for T-S Fuzzy Discrete-Time Systems with Time-Varying Delay and Norm-Bounded Uncertainties

2015

In this paper, we investigate the filtering problem of discrete-time Takagi–Sugeno (T–S) fuzzy uncertain systems subject to time-varying delays. A reduced-order filter is designed. With the augmentation technique, a filtering error system with delayed states is obtained. In order to deal with time delays in system states, the filtering error system is first transformed into two interconnected subsystems. By using a two-term approximation for the time-varying delay, sufficient delay-dependent conditions of finite-time boundedness and $H_{\infty }$ performance of the filtering error system are derived with the Lyapunov function. Based on these conditions, the filter design methods are propose…

Lyapunov function0209 industrial biotechnology02 engineering and technologyFuzzy logicsymbols.namesake020901 industrial engineering & automationControl theoryArtificial Intelligence0202 electrical engineering electronic engineering information engineeringFiltering problemnorm-bounded uncertaintieslinear matrix inequalities (LMIs)T-S fuzzy systemMathematicsApplied MathematicsFilter (signal processing)Finite-time boundednesstime delayFilter designH-infinity methods in control theoryDiscrete time and continuous timeComputational Theory and MathematicsControl and Systems EngineeringBounded functionsymbols020201 artificial intelligence & image processingHâ filteringFinite-time boundedness; H∞ filtering; linear matrix inequalities (LMIs); norm-bounded uncertainties; T-S fuzzy system; time delay; Control and Systems Engineering; Computational Theory and Mathematics; Artificial Intelligence; Applied Mathematics
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Input-to-state stability for discrete-time nonlinear switched singular systems

2016

Discrete-time nonlinear switched singular systems (SSSs) are investigated.The input-to-state stability (ISS) problems for discrete-time nonlinear SSSs are concerned.The ISS criteria are obtained via average dwell time approach and iterative algorithm of discrete-time systems.The switching rules are optimized and designed. This paper investigates the input-to-state stability (ISS) problems for a class of discrete-time nonlinear switched singular systems (SSSs). Two novel ISS criteria are proposed based on average dwell time (ADT) approach and iterative algorithm of discrete-time systems (IADS). In particular, the following two cases are considered for the underlying systems: the first case i…

Lyapunov function0209 industrial biotechnologyInformation Systems and ManagementIterative method02 engineering and technologyStability (probability)Theoretical Computer Sciencesymbols.namesake020901 industrial engineering & automationExponential stabilityControl theoryArtificial IntelligenceIterative algorithm0202 electrical engineering electronic engineering information engineeringMathematicsSwitched singular systemInput-to-state stabilityProcess (computing)Computer Science Applications1707 Computer Vision and Pattern RecognitionAverage dwell time; Discrete-time system; Input-to-state stability; Iterative algorithm; Nonlinear system; Switched singular system; Control and Systems Engineering; Theoretical Computer Science; Software; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems and Management; Artificial IntelligenceComputer Science ApplicationsNonlinear systemDwell timeDiscrete time and continuous timeDiscrete-time systemControl and Systems EngineeringsymbolsNonlinear system020201 artificial intelligence & image processingAverage dwell timeSoftware
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On integral input-to-state stability for a feedback interconnection of parameterised discrete-time systems

2014

This paper addresses integral input-to-state stability iISS for a feedback interconnection of parameterised discrete-time systems involving two subsystems. Particularly, we give a construction for a smooth iISS Lyapunov function for the whole system from the sum of nonlinearly weighted Lyapunov functions of individual subsystems. Motivations for such a construction are given. We consider two main cases. The first one investigates iISS for the whole system when both subsystems are iISS. The second one gives iISS for the interconnected system when one of subsystems is allowed to be input-to-state stable. The approach is also valid for both discrete-time cascades and a feedback interconnection…

Lyapunov functionsmall-gain conditions0209 industrial biotechnologyInterconnectionStability (learning theory)Computer Science Applications1707 Computer Vision and Pattern Recognition02 engineering and technologyState (functional analysis)Computer Science ApplicationsWhole systems0-global asymptotic stabilityTheoretical Computer Scienceinput-to-state stabilitysymbols.namesakeparameterised discrete-time systems020901 industrial engineering & automationDiscrete time and continuous timeControl theoryControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processing0-global asymptotic stability; input-to-state stability; integral input-to-state stability; parameterised discrete-time systems; small-gain conditions; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognitionintegral input-to-state stabilityMathematics
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Control of Flow Rate in Pipeline Using PID Controller

2019

In this paper a PID controller is utilized in order to control the flow rate of the heavy-oil in pipelines by controlling the vibration in motor-pump. A torsional actuator is placed on the motor-pump in order to control the vibration on motor and consequently controlling the flow rates in pipelines. The necessary conditions for asymptotic stability of the proposed controller is validated by implementing the Lyapunov stability theorem. The theoretical concepts are validated utilizing numerical simulations and analysis, which proves the effectiveness of the PID controller in the control of flow rates in pipelines.

Lyapunov stability0209 industrial biotechnologyComputer sciencePipeline (computing)PID controller02 engineering and technologyVibrationPipeline transport020901 industrial engineering & automationExponential stabilityControl theory0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingActuator2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC)
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From human to artificial mouth, from basics to results

2009

Papier publié également dans : Proceedings en ligne de American Institute of Physics http://proceedings.aip.org/dbt/dbt.jsp?KEY=APCPCS&Volume=1137&Issue=1 (RN 2508; Sensory perception of the flavor release during the eating of a food piece is highly dependent upon mouth parameters. Major limitations have been reported during in vivo flavor release studies, such as marked intra- and inter-individual variability. To overcome these limitations, a chewing simulator has been developed to mimic the human mastication of food samples. The device faithfully reproduces most of the functions of the human mouth. The active cell comprises several mobile parts that can accurately reproduce shear and comp…

MASS SPECTROMETRY[SPI.OTHER]Engineering Sciences [physics]/OtherAROMA[ SPI.OTHER ] Engineering Sciences [physics]/OtherArtificial mouthAnalytical chemistry02 engineering and technology01 natural sciencesMASTICATION0404 agricultural biotechnology0202 electrical engineering electronic engineering information engineeringMaterials ChemistryFood scienceElectrical and Electronic EngineeringInstrumentationMasticationFlavorRELEASEElectronic nose[SPI.OTHER] Engineering Sciences [physics]/OtherChemistryELECTRONIC NOSEdigestive oral and skin physiology010401 analytical chemistryMetals and Alloysfood and beverages020206 networking & telecommunicationsFood sample04 agricultural and veterinary sciencesFOOD BREAKDOWNequipment and suppliesCondensed Matter Physics040401 food science0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsHuman mouthSIMULATIONActive cell020201 artificial intelligence & image processingBiological systemSensors and Actuators B: Chemical
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