Search results for "Modeling and Simulation"

showing 10 items of 1561 documents

Concurrent Molecular Dynamics Simulation of ST2 Water on a Transputer Array

1988

Abstract A concurrent implementation of a Molecular Dynamics program for ST2 water molecules is presented, which exploits the great potentialities of the Transputer arrays for statistical mechanical calculations. High load-balance efficiency is obtained using a new task decomposition algorithm which evenly distributes particles and interaction calculations among the processors. This approach can also help to solve efficiently the more general problem of task distribution in parallel computing of symmetric pairwise system properties.

Computer scienceGeneral Chemical EngineeringGeneral problemTransputerGeneral ChemistryParallel computingCondensed Matter PhysicsProcessor arrayMolecular dynamicsMIMDTask (computing)Modeling and SimulationDecomposition (computer science)General Materials SciencePairwise comparisonInformation SystemsMolecular Simulation
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Remarks on IEEE 802.11 DCF performance analysis

2005

This letter presents a new approach to evaluate the throughput/delay performance of the 802.11 distributed coordination function (DCF). Our approach relies on elementary conditional probability arguments rather than bidimensional Markov chains (as proposed in previous models) and can be easily extended to account for backoff operation more general than DCF's one.

Computer scienceMarkov processThroughputDistributed coordination functionCarrier-sense multiple accesssymbols.namesakeIEEE 802.11Wireless lanComputer Science::Networking and Internet ArchitectureElectrical and Electronic EngineeringThroughput (business)IEEE 802.11Markov chainSettore ING-INF/03 - Telecomunicazionibusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSComputer Science ApplicationsComputer Science::PerformanceModeling and SimulationMultiple access controlPerformance evaluationsymbolsIEEE 802.11; Multiple access control; Performance evaluationbusinessAlgorithmComputer networkIEEE Communications Letters
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Automated Scenario Generation for Training of Humanitarian Responders in High-Risk Settings

2019

Computer scienceModeling and Simulation0502 economics and business05 social sciences0202 electrical engineering electronic engineering information engineeringTraining (meteorology)medicine020201 artificial intelligence & image processing02 engineering and technologyMedical emergencymedicine.disease050203 business & managementSoftwareInternational journal of simulation: systems, science & technology
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MPWCA-L: A New Clustering Algorithm to Improve Stability and QoS in MANETs

2013

Computer scienceModeling and SimulationDistributed computingQuality of serviceStability (learning theory)Cluster analysisSoftwareInternational Journal of Simulation Systems Science & Technology
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Special Issue on Advances in EMC numerical modeling

2017

Computer scienceModeling and SimulationSystems engineeringNumerical modelingElectrical and Electronic EngineeringComputer Science ApplicationsInternational Journal of Numerical Modelling: Electronic Networks, Devices and Fields
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Semantic and Logic Modeling of Disaster Simulation for Multi-agent Systems

2019

Computer scienceMulti-agent systemDistributed computing[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationAND gateInternational Journal of Modeling and Optimization
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Structured Output SVM for Remote Sensing Image Classification

2011

Traditional kernel classifiers assume independence among the classification outputs. As a consequence, each misclassification receives the same weight in the loss function. Moreover, the kernel function only takes into account the similarity between input values and ignores possible relationships between the classes to be predicted. These assumptions are not consistent for most of real-life problems. In the particular case of remote sensing data, this is not a good assumption either. Segmentation of images acquired by airborne or satellite sensors is a very active field of research in which one tries to classify a pixel into a predefined set of classes of interest (e.g. water, grass, trees,…

Computer scienceMultispectral imageTheoretical Computer ScienceSet (abstract data type)Kernel (linear algebra)One-class classificationRemote sensingSupport vector machinesStructured support vector machinePixelContextual image classificationbusiness.industryKernel methodsPattern recognitionLand use classificationSupport vector machineTree (data structure)Kernel methodHardware and ArchitectureControl and Systems EngineeringModeling and SimulationKernel (statistics)Radial basis function kernelSignal ProcessingStructured output learningArtificial intelligenceTree kernelStructured output learning; Support vector machines; Kernel methods; Land use classificationbusinessInformation SystemsJournal of Signal Processing Systems
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Status of the EU DEMO HCLL breeding blanket design development

2018

International audience; In the framework of the European “HORIZON 2020” innovation and research programme, the EUROfusion Consortium develops a design of a fusion power demonstrator (DEMO). One of the key components in the fusion reactor is the Breeding Blanket (BB) surrounding the plasma, ensuring tritium self-sufficiency, heat removal for conversion into electricity, and neutron shielding. CEA-Saclay, with the support of Wigner-RCP and Centrum výzkumu Řež, is in charge of the development of one of the four BB concepts investigated in Europe for DEMO: the Helium Cooled Lithium Lead (HCLL) BB. The rationales of the HCLL are the use of Eurofer as structural material, eutectic liquid lithium-…

Computer scienceNuclear engineeringBlanketBreeding7. Clean energy01 natural sciences010305 fluids & plasmasTritium breeding ratio0103 physical sciencesGeneral Materials Science010306 general physicsDEMOSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringBreeding BlanketHelium gasMechanical EngineeringFusion power[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationCoolantNuclear Energy and EngineeringElectromagnetic shieldingHCLLBlanketMaterials Science (all)Design evolution
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Computational Homogenization of Heterogeneous Materials by a Novel Hybrid Numerical Scheme

2020

The Virtual Element Method (VEM) is a recent numerical technique capable of dealing with very general polygonal and polyhedral mesh elements, including irregular or non-convex ones. Because of this feature, the VEM ensures noticeable simplification in the data preparation stage of the analysis, especially for problems whose analysis domain features complex geometries, as in the case of computational micro-mechanics problems. The Boundary Element Method (BEM) is a well known, extensively used and effective numerical technique for the solution of several classes of problems in science and engineering. Due to its underlying formulation, the BEM allows reducing the dimensionality of the proble…

Computer scienceNumerical techniquePolyhedral meshBEM VEM micromechanics02 engineering and technology01 natural sciencesHomogenization (chemistry)Computer Science Applications010101 applied mathematics020303 mechanical engineering & transports0203 mechanical engineeringModeling and SimulationApplied mathematics0101 mathematicsSettore ING-IND/04 - Costruzioni E Strutture AerospazialiBoundary element method
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Car style-holon recognition in computer-aided design

2019

Abstract Multi-scale design can presumably stimulate greater intelligence in computer-aided design (CAD). Using the style-holon concept, this paper proposes a computational approach to address multi-scale style recognition for automobiles. A style-holon is both a whole—it contains sub-styles of which it is composed—as well as a part of a broader style. In this paper, we first apply a variable precision rough set-based approach to car evaluation and ranking. Secondly, we extracted and subsequently computed the each car's characteristic lines from the CAD models. Finally, we identified style-holons using the property of a double-headed style-holon. A style-holon is necessarily included in a t…

Computer scienceProperty (programming)[SHS.INFO]Humanities and Social Sciences/Library and information sciencesComputational MechanicsCAD02 engineering and technologycomputer.software_genre[SHS]Humanities and Social SciencesSet (abstract data type)0203 mechanical engineeringlcsh:TA1740202 electrical engineering electronic engineering information engineeringComputer Aided DesignEngineering (miscellaneous)ComputingMilieux_MISCELLANEOUSbusiness.industryDesign specificationlcsh:Engineering designComputer Graphics and Computer-Aided DesignHuman-Computer InteractionComputational Mathematics020303 mechanical engineering & transportsRankingModeling and Simulation020201 artificial intelligence & image processingArtificial intelligenceRough setHolarchybusinesscomputer
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