Search results for "computational"

showing 10 items of 5884 documents

Synthesis, spectroscopic study, and crystal structure of a new organotin(IV) selenate derivative

2018

Abstract The polymeric organotin(IV) selenate complex [(Me3Sn)3(SeO4)(OH)]n (1) has been isolated as single crystals from the reaction of [(Me2NH2)2SeO4] and Me3SnCl in methanol. In the solid state, compound 1 was characterized by X-ray diffraction analysis, Fourier transform-infrared spectroscopy, and elemental analysis. 1 crystallizes in the orthorhombic system space group Pbca with a=11.0231(2) Å, b=16.3461(3) Å, c=20.9945(4) Å, α=β=γ=90°, V=3782.89(12) Å3, and Z=8. Its structure can be described as a polymeric zigzag chain based on Me3Sn moieties linked by tridentate selenate anions. Pendant (Me3Sn)2OH groups are also connected to the chain, according to a syndiotactic organization, and…

crystal structurechemistry.chemical_elementCrystal structureorganotin(iv)010402 general chemistry010403 inorganic & nuclear chemistry01 natural sciencesSelenateoxoanionschemistry.chemical_compoundComputational chemistryMaterials Chemistry[CHIM]Chemical Sciences[CHIM.COOR]Chemical Sciences/Coordination chemistryseleniumQD1-999ComputingMilieux_MISCELLANEOUSMetals and AlloysGeneral ChemistryCondensed Matter Physics0104 chemical sciencesChemistrychemistrysn-o-se moietySeleniumDerivative (chemistry)Main Group Metal Chemistry
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Approximation of pore space with ellipsoids: a comparison of a geometrical method with a statistical one.

2018

International audience; We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with a number of geometrical primitives significantly smaller than the number of voxels in pore space. In this paper, we use the curve skeleton of a volume to segment it into some regions. We describe the method to compute the curve skeleton and to segment it with a simple segment approximation. We approximate each obtained region with an ellipsoid. The set of final ellipsoids represents the geometry of pore space and will be used in future simulations.…

curve skeletonsegmentationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO] Computer Science [cs][SPI.MAT] Engineering Sciences [physics]/Materials[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]GeneralLiterature_MISCELLANEOUSPhysics::Geophysics[SPI.MAT]Engineering Sciences [physics]/Materialsellipsoids[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][INFO]Computer Science [cs]Pore space approximationComputingMethodologies_COMPUTERGRAPHICS
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Integrated computational and experimental approaches for the identification of new molecules with readthrough activity on premature termination codon…

2015

cystic fibrosiscomputational approaches; readthrough; premature stop codon; cystic fibrosisreadthroughpremature stop codoncomputational approache
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Time-domain effective-one-body gravitational waveforms for coalescing compact binaries with nonprecessing spins, tides and self-spin effects

2018

We present TEOBResumS, a new effective-one-body (EOB) waveform model for nonprecessing (spin-aligned) and tidally interacting compact binaries.Spin-orbit and spin-spin effects are blended together by making use of the concept of centrifugal EOB radius. The point-mass sector through merger and ringdown is informed by numerical relativity (NR) simulations of binary black holes (BBH) computed with the SpEC and BAM codes. An improved, NR-based phenomenological description of the postmerger waveform is developed.The tidal sector of TEOBResumS describes the dynamics of neutron star binaries up to merger and incorporates a resummed attractive potential motivated by recent advances in the post-Newt…

data analysis methodneutron star: binaryGravitational waves effective-one-bodyAstronomyBinary numberFOS: Physical sciencesalternative theories of gravityGeneral Relativity and Quantum Cosmology (gr-qc)Parameter spacegravitational radiation: direct detection01 natural sciencesGeneral Relativity and Quantum CosmologyNumerical studies of other relativistic binaries; Neutron stars; black holes (astrophysics); Gravitational wavesNeutron starsGravitational wavesGravitationBinary black holebinary: coalescence0103 physical sciencesnumerical methodsblack holes (astrophysics)010306 general physicsGeneral Relativity and Quantum Cosmology; General Relativity and Quantum Cosmologyequation of statePhysics010308 nuclear & particles physicsNumerical studies of other relativistic binarieshigher-order: 0spin: effectGravitational Waves analytical template modeling LIGO Virgo numerical relativity Neutron Stars parameter estimationRadiusbinary: compactLIGOgravitational radiation detectorComputational physicsFIS/02 - FISICA TEORICA MODELLI E METODI MATEMATICIdetector: sensitivityNeutron starNumerical relativityblack hole: binaryGeneral relativityrelativity theorygravitation: self-force[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]effective-one-body
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Web mining e Application Programming Interfaces: caratteristiche, strumenti, prospettive e limiti

2014

data mining web mining big data API computational social sciences web semanticoSettore SPS/07 - Sociologia Generale
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Data-Driven Evolutionary Optimization: An Overview and Case Studies

2019

Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. In solving many real-world optimization problems, however, such objective functions may not exist, instead computationally expensive numerical simulations or costly physical experiments must be performed for fitness evaluations. In more extreme cases, only historical data are available for performing optimization and no new data can be generated during optimization. Solving evolutionary optimization problems driven by data collected in simulations, physical experiments, production processes, or daily life are termed data-driven evolutionary optimization. In this…

data-driven optimizationMathematical optimizationOptimization problemmodel managementevoluutiolaskenta02 engineering and technologymatemaattinen optimointiEvolutionary computationTheoretical Computer ScienceData modelingData-drivenModel managementkoneoppiminenComputational Theory and MathematicsdatatiedeoptimointiTaxonomy (general)Constraint functionsalgoritmit0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingsurrogateevolutionary algorithmsSoftware
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Predicting the availability of users' devices in Decentralized Online Social Networks

2018

The understanding of the user temporal behavior is a crucial aspect for all those systems that rely on user resources for daily operations, such as decentralized online social networks (DOSNs). Indeed, DOSNs exploit the devices of their users to take on and share the tasks needed to provide services such as storing the published data. In the last years, the increasing popularity of DOSN services has changed the way of how people interact with each other by enabling users to connect to these services at any time by using their personal devices (such as notebooks or smartphones). As a result, the availability of data in these systems is strongly affected (or reflected) by the temporal behavio…

decentralized online social networkdecentralized online social networksavailability predictionComputer Networks and CommunicationComputational Theory and Mathematicsavailabilityuser behaviorComputer Science Applications1707 Computer Vision and Pattern Recognitionpredictionavailability prediction; decentralized online social networks; user behaviorSoftwareTheoretical Computer Science
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Data-driven Interactive Multiobjective Optimization : Challenges and a Generic Multi-agent Architecture

2020

In many decision making problems, a decision maker needs computer support in finding a good compromise between multiple conflicting objectives that need to be optimized simultaneously. Interactive multiobjective optimization methods have a lot of potential for solving such problems. However, the growth of complexity in problem formulations and the abundance of data bring new challenges to be addressed by decision makers and method developers. On the other hand, advances in the field of artificial intelligence provide opportunities in this respect. We identify challenges and propose directions of addressing them in interactive multiobjective optimization methods with the help of multiple int…

decision supportComputer science020209 energyCompromisemedia_common.quotation_subjectpäätöksentekopäätöksentukijärjestelmät02 engineering and technologycomputer.software_genreMulti-objective optimizationField (computer science)Data-drivenIntelligent agentcomputational intelligence0202 electrical engineering electronic engineering information engineeringmulti-agent systemsAgent architecturemultiple criteria optimizationGeneral Environmental Sciencemedia_commoninteractive methodsmonitavoiteoptimointiagentsRisk analysis (engineering)data-driven decision makinginteraktiivisuusälykkäät agentitGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingcomputer
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On approaches for solving computationally expensive multiobjective optimization problems

2016

In this thesis, we consider solving computationally expensive multiobjective optimization problems that take into account the preferences of a decision maker (DM). The aim is to support the DM in identifying the most preferred solution for problems that have several conflicting objectives and when the evaluation of the candidate solutions is time consuming. This is conducted by replacing computationally expensive functions with computationally inexpensive functions, known as surrogates. First, based on a literature survey, we introduce two frameworks, i.e., a sequential and an adaptive framework, based on which surrogate-based methods are classified and compared. We then identify relevant cha…

decompositionpareto-tehokkuussijaismallipäätöksentekomultiobjective optimizationsurrogatedecision-makinghajotelmamatemaattinen optimointimonitavoiteoptimointicomputational costlaskennallinen vaativuus
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Sobre substitució lingüística i autòmats cel.lulars (SLAC): decurs de la investigació

2010

Hem optat per focalitzar la nostra investigació, tot i l'ampla aplicabilitat de la recerca, en la detecció del futur de la nostra llengua a partir dels pressupòsits de la Psicologia Social Computacional. I això mitjançant la utilització de la simulació informàtica, basada en els autòmats cel·lulars, que ha donat els primers resultats que presentem i explicitem en la nostra aportació a l'ANUARI. Així, hi abordem el futur de la llengua pròpia a partir de la conducta referida als parlants del País Valencià i amb la intenció d'esbrinar la reversió de la substitució lingüística.

decurs de la investigació Autòmats cel·lulars conducta dels parlants prospectiva lingüística psicologia social computacional simulació informàtica substitució lingüística. Cellular automata behavior of the speakers linguistic forecasting computational social Psychology computer simulation linguistic language shifts. Artículo [Sobre substitució lingüística i autòmats cel.lulars (SLAC)]:PSICOLOGÍA [UNESCO]UNESCO::PSICOLOGÍASobre substitució lingüística i autòmats cel.lulars (SLAC): decurs de la investigació Autòmats cel·lulars conducta dels parlants prospectiva lingüística psicologia social computacional simulació informàtica substitució lingüística. Cellular automata behavior of the speakers linguistic forecasting computational social Psychology computer simulation linguistic language shifts. Artículo
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