Search results for "MAG"

showing 10 items of 30133 documents

Modelling Recurrent Events for Improving Online Change Detection

2016

The task of online change point detection in sensor data streams is often complicated due to presence of noise that can be mistaken for real changes and therefore affecting performance of change detectors. Most of the existing change detection methods assume that changes are independent from each other and occur at random in time. In this paper we study how performance of detectors can be improved in case of recurrent changes. We analytically demonstrate under which conditions and for how long recurrence information is useful for improving the detection accuracy. We propose a simple computationally efficient message passing procedure for calculating a predictive probability distribution of …

ta113noiseComputer scienceData stream miningMessage passingDetectordata streamsonline change detection02 engineering and technologycomputer.software_genreTask (computing)recurrent eventschange points020204 information systems0202 electrical engineering electronic engineering information engineeringProbability distribution020201 artificial intelligence & image processingNoise (video)Data miningBaseline (configuration management)computerChange detectionProceedings of the 2016 SIAM International Conference on Data Mining
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Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS

2012

In this paper we consider methods for estimating forest tree stem volumes by species using images taken from light unmanned aircraft systems (UAS). Instead of using LiDAR and additional multiband imagery a color infrared camera mounted to a light UAS is used to acquire both imagery and the DSM of target area. The goal of this study is to accurately estimate tree stem volumes in three classes. The status of the ongoing work is described and an initial method for delineating and classifying treetops is presented.

ta113precision agriculturebusiness.industryComputer scienceUAVtarget detectionPiezo actuatorsmedical imagingairborneFabry-Perot Interferometerimaging spectrometerTree (data structure)Hyperspectral sensorsLidarRemote sensing (archaeology)Computer visionArtificial intelligencemultispectral image sensorsDigital surfacebusinessTree speciesRemote sensingProceedings of SPIE
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Recommending Serendipitous Items using Transfer Learning

2018

Most recommender algorithms are designed to suggest relevant items, but suggesting these items does not always result in user satisfaction. Therefore, the efforts in recommender systems recently shifted towards serendipity, but generating serendipitous recommendations is difficult due to the lack of training data. To the best of our knowledge, there are many large datasets containing relevance scores (relevance oriented) and only one publicly available dataset containing a relatively small number of serendipity scores (serendipity oriented). This limits the learning capabilities of serendipity oriented algorithms. Therefore, in the absence of any known deep learning algorithms for recommend…

ta113recommender systemInformation retrievalTraining setArtificial neural networkComputer sciencebusiness.industrySerendipityDeep learningsuosittelujärjestelmätdeep learning020207 software engineeringserendipity02 engineering and technologyRecommender systemtransfer learningalgorithmskoneoppiminenalgoritmit0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRelevance (information retrieval)Artificial intelligenceTransfer of learningbusiness
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Detecting explosive substances by the IR spectrography

2014

Fast and safe detection methods of explosive substances are needed both before and after actualized explosions. This article presents an experiment of the detection of three selected explosives by the ATR FTIR spectrometer and by three different IR hyperspectral imaging devices. The IR spectrometers give accurate analyzing results, whereas hyperspectral imagers can detect and analyze desired samples without touching the unidentified target at all. In the controlled explosion experiment TNT, dynamite and PENO were at first analyzed as pure substances with the ATR FTIR spectrometer and with VNIR, SWIR and MWIR cameras. After three controlled explosions also the residues of TNT, dynamite and P…

ta113ta222Materials scienceSpectrometerDynamiteExplosive materialHyperspectral imaginglaw.inventionVNIRlawFt ir spectroscopyFourier transform infrared spectroscopySpectroscopyta116Remote sensing
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The challenges of analysing blood stains with hyperspectral imaging

2014

Hyperspectral imaging is a potential noninvasive technology for detecting, separating and identifying various substances. In the forensic and military medicine and other CBRNE related use it could be a potential method for analyzing blood and for scanning other human based fluids. For example, it would be valuable to easily detect whether some traces of blood are from one or more persons or if there are some irrelevant substances or anomalies in the blood. This article represents an experiment of separating four persons' blood stains on a white cotton fabric with a SWIR hyperspectral camera and FT-NIR spectrometer. Each tested sample includes standardized 75 _l of 100 % blood. The results s…

ta113ta222SpectrometerComputer sciencebusiness.industrySample (material)Blood StainsNear-infrared spectroscopyHyperspectral imagingPattern recognitionArtificial intelligencebusinessta116
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Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV

2013

Hyperspectral imaging based precise fertilization is challenge in the northern Europe, because of the cloud conditions. In this paper we will introduce schemes for the biomass and nitrogen content estimations from hyperspectral images. In this research we used the Fabry-Perot interferometer based hypespectral imager that enables hyperspectral imaging from lightweight UAVs. During the summers 2011 and 2012 imaging and flight campaigns were carried out on the Finnish test field. Estimation mehtod uses features from linear and non-linear unmixing and vegetation indices. The results showed that the concept of small hyperspectral imager, UAV and data analysis is ready to operational use.

ta113unmixingbiomassbusiness.industryhyperspectral imagingUAVBiomassHyperspectral imagingVegetationta4111nitrogenInterferometryGeographyContent (measure theory)Computer visionArtificial intelligencebusinessta119Remote sensing
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Isophorone on Au/MgO/Ag(001) : Physisorption with Electrostatic Site Selection

2017

We report a computational study of isophorone C9H14O adsorption on a Ag(001)-supported ultrathin MgO film with Au adatoms and clusters employing density functional theory calculations. The calculations show that the keto form of isophorone is more stable than the enol tautomers both in gas phase and on the MgO/Ag(001) surface. The interaction between the keto isophorone and step and terrace sites of MgO/Ag(001) displays long interaction distances, relatively weakly exothermic adsorption energies, lack of charge transfer, and minor changes in the density of states, all of which indicate that the molecule merely physisorbs on the surface. The step sites are energetically preferred adsorption …

ta114Chemistry02 engineering and technology021001 nanoscience & nanotechnologyPhotochemistry01 natural sciencesTautomerEnolSurfaces Coatings and FilmsElectronic Optical and Magnetic Materialschemistry.chemical_compoundCrystallographyGeneral EnergyAdsorptionPhysisorptionisophorone adsorption0103 physical sciencesDensity of statesMoleculeDensity functional theoryPhysical and Theoretical Chemistry010306 general physics0210 nano-technologyta116IsophoroneJournal of Physical Chemistry C
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Theoretical Analysis of the M12Ag32(SR)404– and X@M12Ag32(SR)304– Nanoclusters (M = Au, Ag; X = H, Mn)

2014

We analyze the electronic structure and optical properties of the recently reported, structurally known M12Ag32(SR)304– clusters (M = Au, Ag) by using density functional theory and time-dependent density functional perturbation theory. Effects of the chemical changes in the metal core, charge of the cluster, and nature of the thiolate ligand on the electronic structure and optical absorption are reported. In addition, doping the metal core with a magnetic transition metal atom (Mn) or hydrogen (protons) is discussed. Although all these clusters can be considered as 18-electron superatoms with a shell configuration 1S2 1P6 1D10, we find that the optical spectrum is sensitive to the charge st…

ta114ChemistryDopingnanoclustersElectronic structurechemistrySurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsNanoclustersMetalCrystallographyGeneral EnergyTransition metalvisual_artAtomCluster (physics)visual_art.visual_art_mediumDensity functional theoryPhysical and Theoretical ChemistryAtomic physicsta116physicsJournal of Physical Chemistry C
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Ultrafast electronic relaxation and vibrational cooling dynamics of Au 144(SC2H4Ph)60 nanocluster probed by transient mid-IR spectroscopy

2014

Energy relaxation dynamics of a gold nanocluster with atomically precise composition, Au144(SC2H4Ph)60, is studied by transient mid-IR spectroscopy. The experiment is designed to simultaneously pro...

ta114ChemistryDynamics (mechanics)Analytical chemistryMolecular physicsSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsGeneral EnergyVibrational energy relaxationRelaxation (physics)Transient (oscillation)Physical and Theoretical ChemistrySpectroscopyUltrashort pulseta116The Journal of Physical Chemistry C
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TDDFT Analysis of Optical Properties of Thiol Monolayer-Protected Gold and Intermetallic Silver–Gold Au144(SR)60 and Au84Ag60(SR)60 Clusters

2014

The optical absorption spectra of atomistic model structures for experimentally isolated all-gold Au144(SR)60 and intermetallic Au84Ag60(SR)60 clusters are systematically analyzed from linear-response time-dependent density functional theory (LR-TDDFT) and time-dependent density functional perturbation theory (TD-DFPT) calculations. The computed spectra, utilizing the atomistic model for Au144(SR)60 published by us in 2009, reproduce closely the experimental observations for corresponding isolated compounds, reported previously by Kumara and Dass in 2011. A collective dipole oscillation within the metal cores of the all-gold and intermetallic clusters is formed as response to light in the v…

ta114ChemistryIntermetallicTime-dependent density functional theoryMolecular physicsSpectral lineSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsMetalDipoleGeneral Energyvisual_artMonolayervisual_art.visual_art_mediumDensity functional theoryPhysical and Theoretical ChemistrySurface plasmon resonanceAtomic physicsta116The Journal of Physical Chemistry C
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