Search results for "Computer Science Applications"

showing 10 items of 3993 documents

Temperature controller for brain slice chambers using a current sink output stage.

1985

Temperature controlMaterials scienceBiomedical EngineeringTemperatureBrainHuman physiologyEquipment DesignThermostatHippocampusComputer Science Applicationslaw.inventionRatsSlice preparationlawControl theoryAnimalsStage (hydrology)Current (fluid)Sink (computing)Medicalbiological engineeringcomputing
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Dynamical amplification of electric polarization through nonlinear phononics in 2D SnTe

2020

Ultrafast optical control of ferroelectricity using intense terahertz fields has attracted significant interest. Here we show that the nonlinear interactions between two optical phonons in SnTe, a two-dimensional in-plane ferroelectric material, enables a dynamical amplification of the electric polarization within subpicoseconds time domain. Our first-principles time-dependent simulations show that the infrared-active out-of-plane phonon mode, pumped to nonlinear regimes, spontaneously generates in-plane motions, leading to rectified oscillations in the in-plane electric polarization. We suggest that this dynamical control of ferroelectric material, by nonlinear phonon excitation, can be ut…

Terahertz radiationPhononPhysics::Optics02 engineering and technology01 natural sciences7. Clean energySettore FIS/03 - Fisica Della MateriaCondensed Matter::Materials ScienceTDDFT0103 physical sciencesGeneral Materials ScienceTime domain010306 general physicsPhysicsFerroelecrtricityCondensed matter physics021001 nanoscience & nanotechnologyFerroelectricityComputer Science ApplicationsPolarization densityNonlinear systemMechanics of MaterialsModeling and Simulation0210 nano-technologyUltrashort pulseExcitation
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Automatic orientation and 3D modelling from markerless rock art imagery

2013

This paper investigates the use of two detectors and descriptors on image pyramids for automatic image orientation and generation of 3D models. The detectors and descriptors replace manual measurements and are used to detect, extract and match features across multiple imagery. The Scale-Invariant Feature Transform (SIFT) and the Speeded Up Robust Features (SURF) will be assessed based on speed, number of features, matched features, and precision in image and object space depending on the adopted hierarchical matching scheme. The influence of applying in addition Area Based Matching (ABM) with normalised cross-correlation (NCC) and least squares matching (LSM) is also investigated. The pipel…

Terrestrial laser scanningClose range imageryMatching (statistics)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformBundle adjustmentAutomationOrientationBundle adjustmentMatchingComputer visionComputers in Earth SciencesEngineering (miscellaneous)Block (data storage)Ground truthOrientation (computer vision)business.industryPipeline (software)Atomic and Molecular Physics and OpticsComputer Science ApplicationsPhotogrammetryINGENIERIA CARTOGRAFICA GEODESIA Y FOTOGRAMETRIAArtificial intelligencebusinessISPRS Journal of Photogrammetry and Remote Sensing
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Range-based versus automated markerless image-based techniques for rock art documentation

2014

Nowadays there is a huge proliferation of fully automatic image-based solutions producing either three-dimensional (3D) point clouds or 3D models. However, the reliability of the output is not usually reported and clarified. This paper presents a comparison of the 3D modelling results achieved on two rock art shelters at separate archaeological sites using a high-resolution digital camera. The 3D point clouds were produced using automatic image-based photogrammetric and computer vision software running either locally (FOTOGIFLE and VisualSFM) or through a webbased reconstruction service (Autodesk 123D Catch). The first two automatic approaches are compared with a manual bundle block adjustm…

Terrestrial laser scanningComputer sciencemedia_common.quotation_subjectcomputer.software_genreDocumentationExcellenceEarth and Planetary Sciences (miscellaneous)Rock artComputers in Earth SciencesEngineering (miscellaneous)media_commonMultimediaData qualityTerrestrial laser scanningComputer Science ApplicationsOrtho-imagePoint cloudINGENIERIA CARTOGRAFICA GEODESIA Y FOTOGRAMETRIAChristian ministryRock artResolutionCartographycomputerImage basedRange (computer programming)Accuracy and precision
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MuLiMs-MCoMPAs: A Novel Multiplatform Framework to Compute Tensor Algebra-Based Three-Dimensional Protein Descriptors

2019

This report introduces the MuLiMs-MCoMPAs software (acronym for Multi-Linear Maps based on N-Metric and Contact Matrices of 3D Protein and Amino-acid weightings), designed to compute tensor-based 3D protein structural descriptors by applying two- and three-linear algebraic forms. Moreover, these descriptors contemplate generalizing components such as novel 3D protein structural representations, (dis)similarity metrics, and multimetrics to extract geometrical related information between two and three amino acids, weighting schemes based on amino acid properties, matrix normalization procedures that consider simple-stochastic and mutual probability transformations, topological and geometrical…

Theoretical computer science010304 chemical physicsbusiness.industryGeneral Chemical EngineeringComputationGeneral ChemistryTensor algebraLibrary and Information Sciences01 natural sciences0104 chemical sciencesComputer Science ApplicationsWeighting010404 medicinal & biomolecular chemistryMatrix (mathematics)Software0103 physical sciencesPrincipal component analysisData pre-processingUser interfacebusinessJournal of Chemical Information and Modeling
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A solution to the stochastic point location problem in metalevel nonstationary environments.

2008

This paper reports the first known solution to the stochastic point location (SPL) problem when the environment is nonstationary. The SPL problem involves a general learning problem in which the learning mechanism (which could be a robot, a learning automaton, or, in general, an algorithm) attempts to learn a "parameter," for example, lambda*, within a closed interval. However, unlike the earlier reported results, we consider the scenario when the learning is to be done in a nonstationary setting. For each guess, the environment essentially informs the mechanism, possibly erroneously (i.e., with probability p), which way it should move to reach the unknown point. Unlike the results availabl…

Theoretical computer scienceAutomatic controlDiscretizationComputer scienceInformation Storage and RetrievalDecision Support TechniquesPattern Recognition AutomatedArtificial IntelligenceComputer SimulationElectrical and Electronic EngineeringStochastic ProcessesModels StatisticalLearning automatabusiness.industryStochastic processSignal Processing Computer-AssistedGeneral MedicineRandom walkComputer Science ApplicationsAutomatonHuman-Computer InteractionControl and Systems EngineeringPoint locationArtificial intelligencebusinessSoftwareAlgorithmsInformation SystemsIEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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Parallel Calculation of CCSDT and Mk-MRCCSDT Energies.

2010

A scheme for the parallel calculation of energies at the coupled-cluster singles, doubles, and triples (CCSDT) level of theory, several approximate iterative CCSDT schemes (CCSDT-1a, CCSDT-1b, CCSDT-2, CCSDT-3, and CC3), and for the state-specific multireference coupled-cluster ansatz suggested by Mukherjee with a full treatment of triple excitations (Mk-MRCCSDT) is presented. The proposed scheme is based on the adaptation of a highly efficient serial coupled-cluster code leading to a communication-minimized implementation by parallelizing the time-determining steps. The parallel algorithm is tailored for affordable cluster architectures connected by standard communication networks such as …

Theoretical computer scienceBasis (linear algebra)Computer scienceComputationGigabit EthernetCode (cryptography)Parallel algorithmBenchmark (computing)Basis functionPhysical and Theoretical ChemistryComputer Science ApplicationsComputational scienceAnsatzJournal of chemical theory and computation
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Learning to Rank Images for Complex Queries in Concept-based Search

2018

Concept-based image search is an emerging search paradigm that utilizes a set of concepts as intermediate semantic descriptors of images to bridge the semantic gap. Typically, a user query is rather complex and cannot be well described using a single concept. However, it is less effective to tackle such complex queries by simply aggregating the individual search results for the constituent concepts. In this paper, we propose to introduce the learning to rank techniques to concept-based image search for complex queries. With freely available social tagged images, we first build concept detectors by jointly leveraging the heterogeneous visual features. Then, to formulate the image relevance, …

Theoretical computer scienceCognitive Neuroscience02 engineering and technologyfactorization machineRanking (information retrieval)Set (abstract data type)Artificial Intelligence020204 information systems0202 electrical engineering electronic engineering information engineeringRelevance (information retrieval)tiedonhakukuvatMathematicslearning to rankta113InternetConcept searchRank (computer programming)kuvahakuComputer Science Applicationscomplex query020201 artificial intelligence & image processingLearning to rankPairwise comparisonconcept-based image searchSemantic gapNeurocomputing
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Modelling and simulation of several interacting cellular automata

2015

Cellular automata are used for modelling and simulation of many systems. In some applications, the system is formed by a set of subsystems that can be modelled separately, but, in such cases, the existence of interactions between these subsystems requires additional modelling and computer programming. In this paper we propose a modelling methodology for the simulation of a set of cellular automata models that interact with each other. The modelling methodology is described, together with an insight on implementation details. Also, it is applied to a particular cellular automata model, the Sanpile model, to illustrate its use and to obtain some example simulations.

Theoretical computer scienceComputer scienceAbelian sandpile modelbusiness.industryComputer programmingGeneral EngineeringVirtual realityDynamic modellingNonlinear Sciences::Cellular Automata and Lattice GasesCellular automatonComputer Science ApplicationsSet (abstract data type)Stochastic cellular automatonSimulació per ordinadorbusinessRobotsSoftware
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Psi4: an open-source ab initio electronic structure program

2011

The Psi4 program is a new approach to modern quantum chemistry, encompassing Hartree–Fock and density-functional theory to configuration interaction and coupled cluster. The program is written entirely in C++ and relies on a new infrastructure that has been designed to permit high-efficiency computations of both standard and emerging electronic structure methods on conventional and high-performance parallel computer architectures. Psi4 offers flexible user input built on the Python scripting language that enables both new and experienced users to make full use of the program's capabilities, and even to implement new functionality with moderate effort. To maximize its impact and usefulness, …

Theoretical computer scienceComputer scienceProgramming languageComputationAb initioElectronic structureConfiguration interactionPython (programming language)computer.software_genreBiochemistryComputer Science ApplicationsComputational MathematicsCoupled clusterScripting languageMaterials ChemistryPhysical and Theoretical ChemistrycomputerLicensecomputer.programming_languageWiley Interdisciplinary Reviews: Computational Molecular Science
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