Search results for "Benchmark"

showing 10 items of 310 documents

On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization

2019

Many works on surrogate-assisted evolutionary multiobjective optimization have been devoted to problems where function evaluations are time-consuming (e.g., based on simulations). In many real-life optimization problems, mathematical or simulation models are not always available and, instead, we only have data from experiments, measurements or sensors. In such cases, optimization is to be performed on surrogate models built on the data available. The main challenge there is to fit an accurate surrogate model and to obtain meaningful solutions. We apply Kriging as a surrogate model and utilize corresponding uncertainty information in different ways during the optimization process. We discuss…

Pareto optimalitymallintaminenMathematical optimizationOptimization problemComputer scienceetamodelling02 engineering and technologyMulti-objective optimizationTheoretical Computer ScienceData-drivensymbols.namesakeSurrogate modelMetamodellingKriging020204 information systemsMachine learning0202 electrical engineering electronic engineering information engineeringsurrogateGaussian process/dk/atira/pure/subjectarea/asjc/1700Gaussian processpareto-tehokkuusmonitavoiteoptimointikoneoppiminensymbolsBenchmark (computing)/dk/atira/pure/subjectarea/asjc/2600/2614020201 artificial intelligence & image processingnormaalijakaumaComputer Science(all)
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Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing

2021

In this paper, we introduce a novel application of using scene semantic image segmentation for fire emergency situation analysis. To analyse a fire emergency scene, we propose to use deep convolutional image segmentation networks to identify and classify objects in a scene based on their build material and their vulnerability to catch fire. We introduce our own fire emergency scene segmentation dataset for this purpose. It consists of real world images with objects annotated on the basis of their build material. We use state-of-the-art segmentation models: DeepLabv3, DeepLabv3+, PSPNet, FCN, SegNet and UNet to compare and evaluate their performance on the fire emergency scene parsing task. …

Parsingbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMulti-task learningImage segmentationcomputer.software_genreMachine learningConvolutional neural networkBenchmark (computing)SegmentationArtificial intelligencebusinessTransfer of learningcomputerSituation analysis
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Will it Last? An Assessment of the 2011 Spanish Pension Reform Using the Swedish System as Benchmark

2012

The aim of this paper is to make an assessment of the 2011 reform of the public pension system in Spain using the Swedish pension system as a benchmark, although some reference to the US pension system is also made. The paper focuses on the reform, explaining its aims, breaking down the main contents, critically examining the official view and describing the expected ageing of the Spanish population. This approach complements the quantitative analyses performed by other researchers and will enable us to assess the reformed system with the focus on four main areas: actuarial fairness, actuarial transparency, solvency and communication with the public. The main conclusion is that the reform w…

PensionSolvencyActuarial sciencePolitical riskBenchmark (surveying)Transparency (graphic)Public pensionSustainabilityEconomicsTerm (time)SSRN Electronic Journal
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Implementation of analytic gradients for CCSD and EOM-CCSD using Cholesky decomposition of the electron-repulsion integrals and their derivatives: Th…

2019

We present a general formulation of analytic nuclear gradients for the coupled-cluster with single and double substitution (CCSD) and equation-of-motion (EOM) CCSD energies computed using Cholesky decomposition (CD) representations of the electron repulsion integrals. By rewriting the correlated energy and response equations such that the storage of the largest four-index intermediates is eliminated, CD leads to a significant reduction in disk storage requirements, reduced I/O penalties, and an improved parallel performance. CD thus extends the scope of the systems that can be treated by (EOM-)CCSD methods, although analytic gradients in the framework of CD are needed to extend the applicab…

Physics010304 chemical physicsSubstitution (logic)General Physics and AstronomyContext (language use)Electron010402 general chemistry01 natural sciences0104 chemical sciences0103 physical sciencesBenchmark (computing)Applied mathematicsPhysical and Theoretical ChemistryReduction (mathematics)Cholesky decompositionThe Journal of chemical physics
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Benchmark coupled-cluster g-tensor calculations with full inclusion of the two-particle spin-orbit contributions.

2017

We present a parallel implementation to compute electron spin resonance g-tensors at the coupled-cluster singles and doubles (CCSD) level which employs the ACES III domain-specific software tools for scalable parallel programming, i.e., the super instruction architecture language and processor (SIAL and SIP), respectively. A unique feature of the present implementation is the exact (not approximated) inclusion of the five one- and two-particle contributions to the g-tensor [i.e., the mass correction, one- and two-particle paramagnetic spin-orbit, and one- and two-particle diamagnetic spin-orbit terms]. Like in a previous implementation with effective one-electron operators [J. Gauss et al.,…

Physics010304 chemical physicsbusiness.industryGaussGeneral Physics and Astronomy010402 general chemistry01 natural sciences0104 chemical sciencesTheoretical physicsSoftwareCoupled clusterClassical mechanics0103 physical sciencesScalabilityBenchmark (computing)TensorPhysical and Theoretical ChemistryOrbit (control theory)businessSecond derivativeThe Journal of chemical physics
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Parallel Calculation of CCSD and CCSD(T) Analytic First and Second Derivatives.

2007

In this paper we present a parallel adaptation of a highly efficient coupled-cluster algorithm for calculating coupled-cluster singles and doubles (CCSD) and coupled-cluster singles and doubles augmented by a perturbative treatment of triple excitations (CCSD(T)) energies, gradients, and, for the first time, analytic second derivatives. A minimal-effort strategy is outlined that leads to an amplitude-replicated, communication-minimized implementation by parallelizing the time-determining steps for CCSD and CCSD(T). The resulting algorithm is aimed at affordable cluster architectures consisting of compute nodes with sufficient memory and local disk space and that are connected by standard co…

PhysicsBasis (linear algebra)Chemical shiftGigabit EthernetBasis functionParallel computingComputer Science ApplicationsComputational physicsPhysics::Atomic and Molecular ClustersCluster (physics)Benchmark (computing)Limit (mathematics)Physics::Chemical PhysicsPhysical and Theoretical ChemistrySecond derivativeJournal of chemical theory and computation
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Quantum benchmark for teleportation and storage of squeezed states.

2007

We provide a quantum benchmark for teleportation and storage of single-mode squeezed states with zero displacement and a completely unknown degree of squeezing along a given direction. For pure squeezed input states, a fidelity higher than 81.5% has to be attained in order to outperform any classical strategy based on an estimation of the unknown squeezing and repreparation of squeezed states. For squeezed thermal input states, we derive an upper and a lower bound on the classical average fidelity which tighten for moderate degree of mixedness. These results enable a critical discussion of recent experiments with squeezed light.

PhysicsCondensed Matter::Quantum GasesQuantum Physicsmedia_common.quotation_subjectGeneral Physics and AstronomyFidelityFOS: Physical sciencesQuantum PhysicsUpper and lower boundsTeleportationDisplacement (vector)Quantum mechanicsBenchmark (computing)Quantum information scienceQuantum Physics (quant-ph)QuantumSqueezed coherent statemedia_commonPhysical review letters
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Approximate treatment of higher excitations in coupled-cluster theory.

2005

The possibilities for the approximate treatment of higher excitations in coupled-cluster (CC) theory are discussed. Potential routes for the generalization of corresponding approximations to lower-level CC methods are analyzed for higher excitations. A general string-based algorithm is presented for the evaluation of the special contractions appearing in the equations specific to those approximate CC models. It is demonstrated that several iterative and noniterative approximations to higher excitations can be efficiently implemented with the aid of our algorithm and that the coding effort is mostly reduced to the generation of the corresponding formulas. The performance of the proposed and …

PhysicsCoupled clusterGeneralizationExcited stateBenchmark (computing)General Physics and AstronomyStatistical physicsPhysical and Theoretical ChemistryMolecular systemsAtomic physicsString (physics)The Journal of chemical physics
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Unconstrained periodic boundary conditions for solid state elasticity

2004

We introduce a method to implement dynamics on an elastic lattice without imposing constraints via boundary or loading conditions. Using this method we are able to examine fracture processes in two-dimensional systems previously inaccessible for reliable computer simulations. We show the validity of the method by benchmarking and report a few preliminary results.

PhysicsDynamic scalingClassical mechanicsCriticalityHardware and ArchitectureLattice (order)Solid-stateGeneral Physics and AstronomyApplied mathematicsPeriodic boundary conditionsBenchmarkingScale invarianceElasticity (economics)Computer Physics Communications
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Monte Carlo calculation of dose rate distributions around 192Ir wires.

1997

Monte Carlo calculations of absolute dose rate in liquid water are presented in the form of away-along tables for 1 and 5 cm 192 Ir wires of 0.3 mm diameter. Simulated absolute dose rate values can be used as benchmark data to verify the calculation results of treatment planning systems or directly as input data for treatment planning. Best fit value of attenuation coefficient suitable for use in Sievert-integrals-type calculations has been derived based on Monte Carlo calculation results. For the treatment planning systems that are based on TG43 formalism we have also calculated the required dosimetry parameters.

PhysicsLiquid waterRadiotherapy Planning Computer-AssistedMonte Carlo methodBrachytherapyBiophysicsRadiotherapy DosageGeneral MedicineReference StandardsIridium RadioisotopesBiophysical PhenomenaComputational physicsEvaluation Studies as TopicAttenuation coefficientNeoplasmsDynamic Monte Carlo methodDosimetryHumansComputer SimulationStatistical physicsBenchmark dataDose rateMonte Carlo MethodMedical physics
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