Search results for "General Computer Science"

showing 10 items of 895 documents

Algorithm 105: Newton Maehly

1962

General Computer ScienceAlgorithmMathematicsCommunications of the ACM
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Algorithm 153: gomory

1963

General Computer ScienceAlgorithmMathematicsCommunications of the ACM
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Education and working life: VET adults' problem-solving skills in technology-rich environments

2015

The rapidly-advancing technological landscape in the European workplace is challenging adults' problem-solving skills. Workers with vocational education and training need flexible abilities to solve problems in technology-rich work settings. This study builds on Finnish PIAAC data to understand adults' (N?=?4503) skills for solving problems in technology-rich environments. The results indicate the critical issue that more than two thirds of adults with vocational education and training have weak skills or lack the skills in solving problems in technology-rich environments and that more than one fifth of these adults are at risk. Furthermore, this study indicates that the likelihood of havin…

General Computer ScienceApplied psychologyLife skillsEducationSkills managementEmpirical researchproblem-solving0502 economics and businessPedagogyPIAACComputingMilieux_COMPUTERSANDEDUCATIONwork-based learningta516Everyday lifelarge-scale assessmenttechnology-rich environmentsWorking lifeComputingMilieux_THECOMPUTINGPROFESSION4. Education05 social sciences050301 educationVariation (linguistics)Work (electrical)Vocational education8. Economic growthvocational education and training (VET)PsychologyVocational education and training (VET); Problem-solving; Technology-rich environments; Large-scale assessment e PIAAC; Work-based and everyday life learning0503 education050203 business & managementeveryday life learningComputers and Education
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Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks

2015

The fundamental period is one of the most critical parameters for the seismic design of structures. There are several literature approaches for its estimation which often conflict with each other, making their use questionable. Furthermore, the majority of these approaches do not take into account the presence of infill walls into the structure despite the fact that infill walls increase the stiffness and mass of structure leading to significant changes in the fundamental period. In the present paper, artificial neural networks (ANNs) are used to predict the fundamental period of infilled reinforced concrete (RC) structures. For the training and the validation of the ANN, a large data set i…

General Computer ScienceArticle SubjectComputer scienceGeneral MathematicsStructure (category theory)020101 civil engineering02 engineering and technologylcsh:Computer applications to medicine. Medical informatics0201 civil engineeringSeismic analysislcsh:RC321-571Materials Testing0202 electrical engineering electronic engineering information engineeringInfillmedicineMathematics (all)lcsh:Neurosciences. Biological psychiatry. NeuropsychiatryMaterials Testing; Neural Networks (Computer); Neuroscience (all); Computer Science (all); Mathematics (all)Neuroscience (all)Artificial neural networkbusiness.industryGeneral NeuroscienceFrame (networking)Computer Science (all)StiffnessGeneral MedicineStructural engineeringNeural Networks (Computer)Reinforced concretelcsh:R858-859.7020201 artificial intelligence & image processingArtificial intelligenceNeural Networks Computermedicine.symptombusinessPeriod (music)Research ArticleComputational Intelligence and Neuroscience
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Hardware implementation of real-time Extreme Learning Machine in FPGA: Analysis of precision, resource occupation and performance

2016

Extreme Learning Machine (ELM) on-chip learning is implemented on FPGA.Three hardware architectures are evaluated.Parametrical analysis of accuracy, resource occupation and performance is carried out. Display Omitted Extreme Learning Machine (ELM) proposes a non-iterative training method for Single Layer Feedforward Neural Networks that provides an effective solution for classification and prediction problems. Its hardware implementation is an important step towards fast, accurate and reconfigurable embedded systems based on neural networks, allowing to extend the range of applications where neural networks can be used, especially where frequent and fast training, or even real-time training…

General Computer ScienceArtificial neural networkComputer sciencebusiness.industry020209 energyComputationTraining (meteorology)02 engineering and technologyRange (mathematics)Resource (project management)Control and Systems Engineering0202 electrical engineering electronic engineering information engineeringFeedforward neural network020201 artificial intelligence & image processingElectrical and Electronic EngineeringField-programmable gate arraybusinessComputer hardwareExtreme learning machineComputers & Electrical Engineering
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2D motif basis applied to the classification of digital images

2016

The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. Different types of features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degrades both the speed and the predictive accuracy of the classifier due to the presence of redundancy in the set of candidate features. Recently, a special class of bidimensional motifs, i.e. 2D motif basis has been introduced in the literature. 2D motif basis showed to be powerful in capturing the r…

General Computer ScienceBasis (linear algebra)Contextual image classificationComputer sciencebusiness.industrypattern discovery image clasification motif patterns in 2DPattern recognition0102 computer and information sciences02 engineering and technology01 natural sciencesSet (abstract data type)Digital imageComputingMethodologies_PATTERNRECOGNITION010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringRedundancy (engineering)Benchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusinessClassifier (UML)Image compression
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Quantum chemical modelling of polarons and perovskite solid solutions

2001

Abstract Following our previous study [J. Phys.: Condens. Matter 10 (1998) 6271] of a single Nb impurity and Nb clusters in KTaO 3 , we present results of the calculations for a series of perovskite KNb x Ta 1− x O 3 (KTN) solid solutions ( x =0, 0.125, 0.25, 0.75, 1). The quantum chemical method of the intermediate neglect of the differential overlap (INDO) combined with the large unit cell (LUC) periodic model is used. According to the INDO calculations, Nb impurity becomes off-center in KTaO 3 already at the lowest studied concentrations ( x =0.125), in a good agreement with XAFS measurements. We compare our results with previous ab initio FP-LMTO calculations. Quantum chemical calculati…

General Computer ScienceChemistryAb initioGeneral Physics and AstronomyGeneral ChemistryElectronPolaronMolecular physicsX-ray absorption fine structureComputational MathematicsMechanics of MaterialsImpurityComputational chemistryGeneral Materials ScienceGround statePerovskite (structure)Solid solutionComputational Materials Science
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Ab initio simulations on AgCl(111) surface and AgCl(111)/α-Al2O3(0001) interface

2005

The defect chemistry and ionic transport properties of the AgCl(111)/α-Al 2 O 3 (0001) interface were consid by using ab initio slab calculations. These calculations were performed in the framework of plane-wave basis combined with the density functional theory (DFT), as implemented into the VASP computer code, and Gaus basis set combined with the Hartree-Fock method (CRYSTAL-98 code). We analyze the electron density distribu on the interface and the electrostatic potential distribution near the AgCl surface. The size of the silver ion is great to enter the corundum surface layer and to create excess silver ions in this way. This is in agreement the experiments on heterogeneous doping of Ag…

General Computer ScienceChemistryAb initioGeneral Physics and AstronomyIonic bondingGeneral ChemistryMolecular physicsIonComputational MathematicsMechanics of MaterialsAb initio quantum chemistry methodsVacancy defectGeneral Materials ScienceDensity functional theorySurface layerAtomic physicsBasis setComputational Materials Science
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Ab initio calculations of the hydroxyl impurities in BaF2

2011

Abstract OH − impurities in BaF 2 crystal have been studied by using density functional theory (DFT) with hybrid exchange potentials, namely DFT-B3PW. Three different configurations of OH − impurities were investigated and the (1 1 1)-oriented OH − configuration is the most stable one. Our calculations show that OH − as an atomic group has a steady geometrical structure instead of electronic properties in different materials. The studies on band structures and density of states (DOS) of the OH − -impurity systems indicate that there are two defect levels induced by OH − impurities. The two superposed occupied OH − -bands located 1.95 eV above the valance bands (VB) at Γ point mainly consist…

General Computer ScienceChemistryDopingGeneral Physics and AstronomyGeneral ChemistryElectronic structureCrystalComputational MathematicsMechanics of MaterialsAb initio quantum chemistry methodsImpurityDensity of statesPhysical chemistryGeneral Materials ScienceDensity functional theoryAtomic physicsElectronic band structureComputational Materials Science
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55-Atom clusters of silver and gold: Symmetry breaking by relativistic effects

2006

Abstract Anionic 55-atom clusters of gold and silver are studied using density functional theory, scalar relativistic ab initio pseudopotentials and self-consistent generalized gradient corrections. An almost perfect icosahedron is found to be the clear ground state of Ag 55 - , and its electronic density of states agrees almost perfectly with recently measured high-resolution photoelectron spectra, up to the magnitude of the splitting of the highest free-electron shells by the Ih crystal field. A comparison between theory and a recent experiment allows one to assign icosahedral-based structures also for the Ag 57 - cluster. On the other hand, the Au 55 - cluster has several close-lying low…

General Computer ScienceChemistryIcosahedral symmetryAb initioElectron shellGeneral Physics and AstronomyGeneral ChemistryComputational MathematicsMechanics of MaterialsAb initio quantum chemistry methodsPhysics::Atomic and Molecular ClustersCluster (physics)General Materials ScienceDensity functional theoryAtomic physicsRelativistic quantum chemistryGround stateComputational Materials Science
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