0000000000309720

AUTHOR

Guohua Liu

showing 2 related works from this author

Investigation of electron transfer between single plasmon and graphene by dark field spectroscopy

2020

Abstract We investigated the electron transfer time between single plasmonic gold nanoparticles and graphene with our home-build spectral imaging dark-field microscope. The process of electron transfer is supposed to be shuttling of hot electrons on the nanoparticle-graphene interface, resulting in a slight broadening of the scattering spectrum. For detecting the minor spectrum broadening, we firstly characterized our setup systematically and then calibrated its intrinsic error. We found the mechanism of a common but normally neglected setup error, scattering spectrum broadening, which is caused by the bandwidth of the incident light and could exist in most fast dark-field microscopy setups…

Materials scienceGrapheneScatteringMechanical EngineeringMie scatteringPhysics::OpticsBioengineering02 engineering and technologyGeneral Chemistry010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesMolecular physicsDark field microscopy0104 chemical scienceslaw.inventionLaser linewidthMechanics of MaterialslawGeneral Materials ScienceElectrical and Electronic Engineering0210 nano-technologySpectroscopyBilayer graphenePlasmonNanotechnology
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3D Matrix-Based Visualization System of Association Rules

2017

With the growing number of mining datasets, it becomes increasingly difficult to explore interesting rules because of the large number of resultant and its nature complexity. Studies on human perception and intuition show that graphical representation could be a better illustration of how to seek information from the data using the capabilities of human visual system. In this work, we present and implement a 3D matrix-based approach visualization system of association rules. The main visual representation applies the extended matrix-based approach with rule-to-items mapping to general transaction data set. A novel method merging rules and assigning weight is proposed in order to reduce the …

Association rule learningComputer sciencevisualisointi02 engineering and technologycomputer.software_genreMachine learningassociation rulesvisualisationInformation visualizationData visualization0202 electrical engineering electronic engineering information engineeringZoom3D matrixta113business.industry020207 software engineeringdata miningVisualizationHuman visual system modelScalability020201 artificial intelligence & image processingData miningArtificial intelligencetiedonlouhintabusinesscomputerTransaction data2017 IEEE International Conference on Computer and Information Technology (CIT)
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