Search results for "computational"

showing 10 items of 5884 documents

Minimum fuel control of the planar circular restricted three-body problem

2012

The circular restricted three-body problem is considered to model the dynamics of an artificial body submitted to the attraction of two planets. Minimization of the fuel consumption of the spacecraft during the transfer, e.g. from the Earth to the Moon, is considered. In the light of the controllability results of Caillau and Daoud (SIAM J Control Optim, 2012), existence for this optimal control problem is discussed under simplifying assumptions. Thanks to Pontryagin maximum principle, the properties of fuel minimizing controls is detailed, revealing a bang-bang structure which is typical of L1-minimization problems. Because of the resulting non-smoothness of the Hamiltonian two-point bound…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Lagrangian point02 engineering and technology01 natural sciences0203 mechanical engineeringControl theory0103 physical sciencesApplied mathematicsBoundary value problemCircular orbit010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUSMathematical PhysicsMathematics020301 aerospace & aeronauticsApplied MathematicsConjugate points[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Astronomy and AstrophysicsOptimal controlThree-body problemControllabilityComputational MathematicsSpace and Planetary ScienceModeling and Simulation[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Hamiltonian (control theory)Celestial Mechanics and Dynamical Astronomy
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Shaken Snow Globes: Kinematic Tracers of the Multiphase Condensation Cascade in Massive Galaxies, Groups, and Clusters

2018

We propose a novel method to constrain turbulence and bulk motions in massive galaxies, groups and clusters, exploring both simulations and observations. As emerged in the recent picture of the top-down multiphase condensation, the hot gaseous halos are tightly linked to all other phases in terms of cospatiality and thermodynamics. While hot halos (10^7 K) are perturbed by subsonic turbulence, warm (10^4 K) ionized and neutral filaments condense out of the turbulent eddies. The peaks condense into cold molecular clouds (< 100 K) raining in the core via chaotic cold accretion (CCA). We show all phases are tightly linked via the ensemble (wide-aperture) velocity dispersion along the line o…

[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph]Astrophysics01 natural sciencesSpectral lineGalaxy groupAbsorption (logic)010303 astronomy & astrophysicsLine (formation)hydrodynamicPhysicsastro-ph.HEHigh Energy Astrophysical Phenomena (astro-ph.HE)Velocity dispersionPhysics - Fluid DynamicsComputational Physics (physics.comp-ph)active [galaxies]astro-ph.COspectroscopic [techniques]Astrophysics - High Energy Astrophysical PhenomenaPhysics - Computational PhysicsAstrophysics - Cosmology and Nongalactic Astrophysics[ INFO ] Computer Science [cs]Cosmology and Nongalactic Astrophysics (astro-ph.CO)astro-ph.GAgalaxies: activeFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsISM [radio lines]0103 physical sciences[ PHYS.PHYS.PHYS-GEN-PH ] Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]/dk/atira/pure/subjectarea/asjc/1900/1912[INFO]Computer Science [cs]Astrophysics::Galaxy Astrophysicsradio lines: ISM010308 nuclear & particles physicsMolecular cloudturbulenceFluid Dynamics (physics.flu-dyn)Astronomy and AstrophysicsAstronomy and AstrophysicAstrophysics - Astrophysics of GalaxiesX-rays: galaxies: clusterGalaxyAccretion (astrophysics)[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]physics.flu-dynphysics.comp-phSpace and Planetary ScienceX-rays: galaxies: clustersAstrophysics of Galaxies (astro-ph.GA)hydrodynamics/dk/atira/pure/subjectarea/asjc/3100/3103galaxies: clusters [X-rays][PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]techniques: spectroscopic
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Experimental and numerical enhancement of Vibrational Resonance in a neural circuit

2012

International audience; A neural circuit exactly ruled by the FitzHugh-Nagumo equations is excited by a biharmonic signal of frequencies f and F with respective amplitudes A and B. The magnitude spectrum of the circuit response is estimated at the low frequency driving f and presents a resonant behaviour versus the amplitude B of the high frequency. For the first time, it is shown experimentally that this Vibrational Resonance effect is much more pronounced when the two frequencies are multiple. This novel enhancement is also confirmed by numerical predictions. Applications of this nonlinear effect to the detection of weak stimuli are finally discussed.

[ PHYS.COND.CM-DS-NN ] Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]02 engineering and technologyLow frequency01 natural sciencesSignalVibrational ResonanceNuclear magnetic resonance[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]0103 physical sciences0202 electrical engineering electronic engineering information engineeringVibrational resonance[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]Electrical and Electronic Engineering010306 general physicsMathematicsQuantitative Biology::Neurons and Cognition020208 electrical & electronic engineering[SPI.TRON]Engineering Sciences [physics]/ElectronicsComputational physics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsNonlinear systemAmplitudeExcited stateNonlinear resonanceBiharmonic equationNonlinear dynamical systemsFitzHugh-Nagumo
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Investigation of the vibrational dynamics of the HCN/CNH isomers through high order canonical perturbation theory

2000

International audience; Molecular vibrations of the molecule HCN/CNH are examined using a combination of a minimum energy path Hamiltonian and high order canonical perturbation theory , as suggested in a recent work [D. Sugny and M. Joyeux, J. Chem. Phys. 112, 31 (2000)]. In addition, the quantum analog of the classical CPT is presented and results obtained therefrom are compared to the classical ones. The MEP Hamiltonian is shown to provide an accurate representation of the original potential energy surface and a convenient starting point for the CPT. The CPT results are subsequently used to elucidate the molecular dynamics: It appears that the isomerization dynamics of HCN/CNH is very tri…

[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]010304 chemical physicsChemistryGeneral Physics and Astronomy010402 general chemistry01 natural sciencesMolecular physics0104 chemical sciencesMolecular dynamicssymbols.namesake[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]Computational chemistryMolecular vibration0103 physical sciencesPotential energy surfacesymbolsMoleculePhysical and Theoretical ChemistryHigh orderHamiltonian (quantum mechanics)QuantumIsomerization[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]
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Sub-optimal waypoints, UAV path planning and mosaicing application

2016

International audience; Create a complete system of video surveillance using camera mounted on a robot like UAV to maintain optimized vast area coverage and reconstruct an image by using mosaicing techniques. This paper demonstrated the efficiency of using one UAV to cover vast area using optimized positions.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Cover (telecommunications)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION010103 numerical & computational mathematics01 natural sciencesUnmanned aerial vehicles[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionMotion planning0101 mathematics[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Genetic Algorithmbusiness.industry[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics010101 applied mathematicsCoverage path planningArea coverageRobotArtificial intelligencebusiness
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Some Computational Aspects of DISTANCE-SAT

2007

In many AI fields, one must face the problem of finding a solution that is as close as possible to a given configuration. This paper addresses this problem in a propositional framework. We introduce the decision problem distance-sat, which consists in determining whether a propositional formula admits a model that disagrees with a given partial interpretation on at most d variables. The complexity of distance-sat and of several restrictions of it are identified. Two algorithms based on the well-known Davis/Logemann/Loveland search procedure for the satisfiability problem sat are presented so as to solve distance-sat for CNF formulas. Their computational behaviors are compared with the ones …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Theoretical computer scienceComputational complexity theory0102 computer and information sciences02 engineering and technologyComputer Science::Computational Complexity01 natural sciences[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]#SATArtificial IntelligenceComputer Science::Logic in Computer ScienceDPLL algorithm0202 electrical engineering electronic engineering information engineeringComputingMilieux_MISCELLANEOUSMathematicsDecision problemFunction problemSatisfiabilityPropositional formulaTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputational Theory and Mathematics010201 computation theory & mathematics020201 artificial intelligence & image processingBoolean satisfiability problemAlgorithmSoftware
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Proceedings of the 8th Linked Data in Architecture and Construction Workshop (LDAC2020)

2020

International audience

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.GCIV]Engineering Sciences [physics]/Civil Engineering[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-CE]Computer Science [cs]/Computational Engineering Finance and Science [cs.CE][INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][SPI.GCIV] Engineering Sciences [physics]/Civil Engineering[INFO.INFO-CE] Computer Science [cs]/Computational Engineering Finance and Science [cs.CE]ComputingMilieux_MISCELLANEOUS[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Nouvelles perspectives du BIM

2021

Les dernières avancées dans la modélisation des informations du bâtiment et la maquette numérique ont permis d'améliorer l'efficacité des livraisons et performances, en catalysant des méthodes de travail innovantes dans le domaine général de l'architecture, de l'ingénierie et de la construction (AEC). Malgré les nombreux outils et technologies numériques et les différentes normes ouvertes BIM, il demeure un besoin croissant d'interopérabilité entre acteurs et logiciels.Allant de cas d'études constitués par des projets industriels réels à des projets recherche, les six chapitres de cet ouvrage témoignent de l'intérêt de la filière et des entreprises pour adapter et faire évoluer leurs pratiq…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-CE] Computer Science [cs]/Computational Engineering Finance and Science [cs.CE][SPI.GCIV.CD] Engineering Sciences [physics]/Civil Engineering/Construction durable[INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering
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Inverse Tone Mapping Based upon Retina Response

2014

International audience; The development of high dynamic range (HDR) display arouses the research of inverse tone mapping methods, which expand dynamic range of the low dynamic range (LDR) image to match that of HDR monitor. This paper proposed a novel physiological approach, which could avoid artifacts occurred in most existing algorithms. Inspired by the property of the human visual system (HVS), this dynamic range expansion scheme performs with a low computational complexity and a limited number of parameters and obtains high-quality HDR results. Comparisons with three recent algorithms in the literature also show that the proposed method reveals more important image details and produces …

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]Computational complexity theoryArticle SubjectComputer sciencemedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:MedicineTone mappinglcsh:TechnologyRetinaGeneral Biochemistry Genetics and Molecular BiologyImage (mathematics)BiomimeticsDistortionImage Interpretation Computer-AssistedHumansContrast (vision)Computer visionlcsh:ScienceHigh dynamic rangeGeneral Environmental Sciencemedia_commonDynamic rangebusiness.industrylcsh:Tlcsh:RGeneral MedicineImage EnhancementHuman visual system modellcsh:QArtificial intelligence[ INFO.INFO-AR ] Computer Science [cs]/Hardware Architecture [cs.AR]businessAlgorithmsColor PerceptionResearch ArticleThe Scientific World Journal
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Scheduling independent stochastic tasks on heterogeneous cloud platforms

2019

International audience; This work introduces scheduling strategies to maximize the expected number of independent tasks that can be executed on a cloud platform within a given budget and under a deadline constraint. The cloud platform is composed of several types of virtual machines (VMs), where each type has a unitexecution cost that depends upon its characteristics. The amount of budget spent during the execution of a task on a given VM is the product of its execution length by the unit execution cost of that VM. The execution lengths of tasks follow a variety of standard probability distributions (exponential, uniform, halfnormal, etc.), which is known beforehand and whose mean and stand…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]020203 distributed computingComputer scienceStochastic processbusiness.industryDistributed computing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Processor schedulingCloud computing02 engineering and technologycomputer.software_genreScheduling (computing)Virtual machine0202 electrical engineering electronic engineering information engineeringTask analysisProbability distribution020201 artificial intelligence & image processing[INFO]Computer Science [cs][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]InterruptHeuristicsbusinesscomputer
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