Search results for "modeling"

showing 10 items of 4489 documents

Statechart-based design controllers for FPGA partial reconfiguration

2015

Statechart diagram and UML technique can be a vital part of early conceptual modeling. At the present time there is no much support in hardware design methodologies for reconfiguration features of reprogrammable devices. Authors try to bridge the gap between imprecise UML model and formal HDL description. The key concept in author's proposal is to describe the behavior of the digital controller by statechart diagrams and to map some parts of the behavior into reprogrammable logic by means of group of states which forms sequential automaton. The whole process is illustrated by the example with experimental results.

Programming languageProcess (engineering)Computer scienceControl reconfigurationcomputer.software_genreAutomatonLogic synthesisUnified Modeling LanguageComputer architectureKey (cryptography)Digital controlField-programmable gate arraycomputercomputer.programming_languagePhotonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015
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Novel view synthesis for projective texture mapping on real 3D objects

2006

Industrial reproduction, as stereography or lithography, have a lack in texture information, as they only deal with 3D reconstruction. In this paper, we provide a new technique to map texture on real 3D objects, by synthesizing a novel view from two camera images to a projector frame, considered as a camera acting in reverse. No prior information on the pose or the shape of the 3D object is necessary, however hard calibration of the complete system is needed.

Projective texture mappingbusiness.industryComputer scienceEpipolar geometry3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVolume rendering3D modelinglaw.inventionView synthesisProjectorlawTrifocal tensorComputer graphics (images)Computer visionArtificial intelligencebusinessTexture mappingComputingMethodologies_COMPUTERGRAPHICSSPIE Proceedings
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Near-Real-Time Estimation of Water Vapor Column From MSG-SEVIRI Thermal Infrared Bands: Implications for Land Surface Temperature Retrieval

2015

The Meteosat Second Generation-Spinning Enhanced Visible and Infrared Imager (MSG-SEVIRI) instrument provides observations of half the globe every 15 min, at low spatial resolution. These data are an invaluable tool to observe daily to yearly cycle of land surface temperature (LST), as well as for various early warning systems. However, advanced algorithms for LST estimation requires a previous estimation of the water vapor (WV) column above the observed pixel, for which no instantaneous retrieval methods are yet available, and therefore hinders their implementation in a near-real-time processing chain for MSG-SEVIRI data. This work analyzes three different formulations for such WV retrieva…

Propagation of uncertaintyPixelMeteorologyBrightness temperatureGeneral Earth and Planetary SciencesEnvironmental scienceAlgorithm designAtmospheric modelElectrical and Electronic EngineeringImage resolutionWater vaporRemote sensingData modelingIEEE Transactions on Geoscience and Remote Sensing
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Neural network approach to solving fuzzy nonlinear equations using Z-numbers

2020

In this article, the fuzzy property is described by means of the Z-number as the coefficients and variables of the fuzzy equations. This alteration for the fuzzy equation is appropriate for system modeling with Z-number parameters. In this article, the fuzzy equation with Z-number coefficients and variables is tended to be used as the models for the uncertain systems. The modeling issue related to the uncertain system is to obtain the Z-number coefficients and variables of the fuzzy equation. Nevertheless, it is extremely hard to get the Z-number coefficients of the fuzzy equations. In this article, in order to model the uncertain nonlinear systems, a novel structure of the multilayer neura…

Property (programming)Mathematics::General MathematicsReliability (computer networking)Structure (category theory)MathematicsofComputing_NUMERICALANALYSIS02 engineering and technologyfuzzy equationFuzzy logicArtificial IntelligenceComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION0202 electrical engineering electronic engineering information engineeringApplied mathematics/dk/atira/pure/subjectarea/asjc/1700MathematicsArtificial neural networkZ numberApplied MathematicsComputingSystems modelingNonlinear systemComputational Theory and MathematicsControl and Systems EngineeringUncertain nonlinear systemmultilayer neural network020201 artificial intelligence & image processingComputingMethodologies_GENERAL/dk/atira/pure/core/subjects/computingInterpolationComputer Science(all)
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Kinetic analysis and molecular modeling of the inhibition mechanism of roneparstat (SST0001) on human heparanase

2016

Heparanase is a β-d-glucuronidase which cleaves heparan sulfate chains in the extracellular matrix and on cellular membranes. A dysregulated heparanase activity is intimately associated with cell invasion, tumor metastasis and angiogenesis, making heparanase an attractive target for the development of anticancer therapies. SST0001 (roneparstat; Sigma-Tau Research Switzerland S.A.) is a non-anticoagulant 100% N-acetylated and glycol-split heparin acting as a potent heparanase inhibitor, currently in phase I in advanced multiple myeloma. Herein, the kinetics of heparanase inhibition by roneparstat is reported. The analysis of dose-inhibition curves confirmed the high potency of roneparstat (I…

Protein Conformation alpha-Helical0301 basic medicineSST0001Molecular modelhomology modelingAmino Acid MotifsPlasma protein bindingMolecular Dynamics SimulationBiochemistryMolecular Docking SimulationheparanaseSubstrate Specificity03 medical and health scienceschemistry.chemical_compound0302 clinical medicinePolysaccharidesHumansProtein Interaction Domains and MotifsHeparanaseHomology modelingEnzyme InhibitorsGlucuronidaseBinding Siteskinetic inhibition analysisHeparinComputational BiologyHeparan sulfateRecombinant ProteinsAcidobacteriaMolecular Docking SimulationEnzyme bindingKinetics030104 developmental biologyCarbohydrate SequenceFondaparinuxchemistryBiochemistryStructural Homology ProteinDocking (molecular)030220 oncology & carcinogenesisBiophysicsroneparstatThermodynamicsProtein Conformation beta-StrandORIGINAL ARTICLESProtein BindingGlycobiology
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Extracellular loop 2 of G protein-coupled olfactory receptors is critical for odorant recognition

2021

International audience; G protein-coupled olfactory receptors (ORs) enable us to detect innumerous odorants. They are also ectopically expressed in non-olfactory tissues and emerging as attractive drug targets. ORs can be promiscuous or highly specific, which is part of a larger mechanism for odor discrimination. Here, we demonstrate that the OR extracellular loop 2 (ECL2) plays critical roles in OR promiscuity and specificity. Using site-directed mutagenesis and molecular modeling, we constructed 3D OR models in which ECL2 forms a lid over the orthosteric pocket. We demonstrate using molecular dynamics simulations that ECL2 controls the shape and the volume of the odorant-binding pocket, m…

Protein Conformation alpha-HelicalOdorant bindingG protein[SDV]Life Sciences [q-bio]Mutagenesis (molecular biology technique)Molecular Dynamics SimulationLigandsReceptors OdorantBiochemistryMice[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyExtracellularOlfactory receptorAnimalsHumans[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyReceptorMolecular BiologyG protein-coupled receptorVirtual screeningmolecular modelingChemistryCell Biologyvirtual screeningLigand (biochemistry)Cell biology[SDV] Life Sciences [q-bio]Smell[SDV.AEN] Life Sciences [q-bio]/Food and NutritionOdorantsMutagenesis Site-Directedsite-directed mutagenesis[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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A Stevedore's protein knot.

2009

Protein knots, mostly regarded as intriguing oddities, are gradually being recognized as significant structural motifs. Seven distinctly knotted folds have already been identified. It is by and large unclear how these exceptional structures actually fold, and only recently, experiments and simulations have begun to shed some light on this issue. In checking the new protein structures submitted to the Protein Data Bank, we encountered the most complex and the smallest knots to date: A recently uncovered α-haloacid dehalogenase structure contains a knot with six crossings, a so-called Stevedore knot, in a projection onto a plane. The smallest protein knot is present in an as yet unclassified …

Protein FoldingHydrolasesProtein ConformationComputational Biology/Macromolecular Structure Analysis02 engineering and technologyBiologyMolecular Dynamics SimulationComputational Biology/Molecular DynamicsCombinatorics03 medical and health sciencesCellular and Molecular NeuroscienceKnot (unit)Protein structureGeneticsStructural motifDatabases ProteinMolecular Biologylcsh:QH301-705.5Ecology Evolution Behavior and Systematics030304 developmental biology0303 health sciencesTopological complexityQuantitative Biology::BiomoleculesEcologycomputer.file_format021001 nanoscience & nanotechnologyProtein Data BankMathematics::Geometric TopologyComputational Theory and MathematicsBiochemistrylcsh:Biology (General)Modeling and SimulationProtein foldingStevedore knot0210 nano-technologySingle loopcomputerResearch ArticlePLoS Computational Biology
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Bioinformatic flowchart and database to investigate the origins and diversity of Clan AA peptidases

2009

Abstract Background Clan AA of aspartic peptidases relates the family of pepsin monomers evolutionarily with all dimeric peptidases encoded by eukaryotic LTR retroelements. Recent findings describing various pools of single-domain nonviral host peptidases, in prokaryotes and eukaryotes, indicate that the diversity of clan AA is larger than previously thought. The ensuing approach to investigate this enzyme group is by studying its phylogeny. However, clan AA is a difficult case to study due to the low similarity and different rates of evolution. This work is an ongoing attempt to investigate the different clan AA families to understand the cause of their diversity. Results In this paper, we…

Protein familySequence analysisImmunologyProtein domainMolecular Sequence DataBiologycomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyProtein Structure SecondaryPhylogeneticsSequence Analysis ProteinSoftware DesignConsensus SequenceConsensus sequenceAspartic Acid EndopeptidasesClanAmino Acid SequenceDatabases ProteinPeptide sequencelcsh:QH301-705.5Ecology Evolution Behavior and SystematicsPhylogenyDatabaseAgricultural and Biological Sciences(all)Biochemistry Genetics and Molecular Biology(all)Applied MathematicsResearchComputational BiologyGenetic VariationGene AnnotationTemplates GeneticMarkov ChainsProtein Structure Tertiarylcsh:Biology (General)Modeling and SimulationGeneral Agricultural and Biological SciencescomputerBiology Direct
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Performance Analysis of Synchronous Duty-Cycled MAC Protocols

2015

In this letter, we propose an analytical model to evaluate the performance of the S-MAC protocol. The proposed model improves the accuracy of previous models in two aspects. First, it incorporates the dependence among the nodes within a cluster by defining a DTMC that models the number of active nodes, whereas the previous models considered that nodes were mutually independent. Second, it proposes new methods for calculating packet delay and energy consumption. The analytical model is validated through discrete-event based simulations. Numerical results demonstrate that the proposed analytical model and methods yield accurate results under realistic assumptions

Protocol (science)Markov modelingMarkov chainComputer scienceNetwork packetLoad modelingReal-time computingEnergy consumptionINGENIERIA TELEMATICAMarkov modelWSNsDelay and energy consumptionControl and Systems EngineeringPacket lossDuty-cycled MAC protocolsCluster (physics)Electrical and Electronic EngineeringAlgorithm
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Modeling and numerical simulation of the propagation of pitting corrosion of iron in chlorinated medium : contribution to the evaluation of the durab…

2012

This study deals with the understanding of the mechanisms of pitting corrosion susceptible to occur on carbon steel selected for high level nuclear waste containers. Transport/reaction models have been developed in order to simulate, by finite element method, the propagation of a pit on iron in chlorinated medium. For conservative models, pit is activated by imposing a potential on metal. Thanks to different parametric studies (geometry, environment…) simulations have permitted to classify, by severity order, the factors responsible of the increase or the inhibition of the localized corrosion rate. Otherwise, experiments on occluded (called « lead-in-pencil ») electrodes confirm that confin…

PrécipitationMéthodes des éléments finis[SPI.OTHER] Engineering Sciences [physics]/OtherIronOccluded electrodesModelingChute ohmiqueOhmic dropPrecipitationÉvasementFerCouplingCorrosion par piqûresÉlectrodes occlusesCouplageModélisation[CHIM.OTHE] Chemical Sciences/OtherFinite Element MethodOpening of the defectPitting corrosionConfinement
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