Search results for "Cube"

showing 10 items of 160 documents

EV-Scale Sterile Neutrino Search Using Eight Years of Atmospheric Muon Neutrino Data from the IceCube Neutrino Observatory

2020

Physical review letters 125(14), 141801 (1-11) (2020). doi:10.1103/PhysRevLett.125.141801

Sterile neutrinoPhysics::Instrumentation and DetectorsGeneral Physics and Astronomysterile [neutrino]01 natural sciencesCosmologyIceCubeHigh Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)Astronomi astrofysik och kosmologiSubatomic PhysicsTOOLAstronomy Astrophysics and Cosmologyatmosphere [muon]Muon neutrinoPhysicsPhysicsoscillation [neutrino]Astrophysics::Instrumentation and Methods for Astrophysicshep-phneutrino: sterilemass difference [neutrino]ddc:muon: atmosphereobservatoryHigh Energy Physics - PhenomenologyPhysique des particules élémentairessignatureParticle physicsdata analysis methodScale (ratio)Astrophysics::High Energy Astrophysical Phenomenaneutrino: mass differenceFOS: Physical sciences530IceCube Neutrino Observatorystatistical analysis0103 physical sciencesOSCILLATIONSddc:530010306 general physicshep-exICEHigh Energy Physics::Phenomenologyneutrino: mixing angleCONVERSIONPhysics and AstronomyCOSMOLOGYHigh Energy Physics::Experimentneutrino: oscillationBAYESIAN-INFERENCEmixing angle [neutrino]experimental results
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Fragtique: Applying an OO Database Distribution Strategy to Data Warehouse

2001

We propose a strategy for distribution of a relational data warehouse organized according to a star schema. We adapt fragmentation and allocation strategies that were developed for OO databases. We split the most-often-accessed dimension table into fragments by using primary horizontal fragmentation. The derived fragmentation then divides the fact table into fragments. Other dimension tables are not fragmented since they are presumed to be sufficiently small. Allocation of fragments encompasses duplication of non-fragmented dimension tables that we call a closure.

Theoretical computer scienceDatabaseComputer scienceRelational databaseFragmentation (computing)Dimension tableA* search algorithmFact tablecomputer.software_genreData warehouselaw.inventionData cubelawSchema (psychology)Data miningcomputer
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Using OLAP Data Cubes in Business Intelligence

2016

Abstract The purpose of this paper is to demonstrate that it is possible to develop business intelligence projects in big and medium-size organizations, only with Microsoft products, used in accordance with standard OLAP cube technology, and presented possible alternatives, in relation with the requested functions.

Ubusiness.industryOnline analytical processingmicrosoft sql server 2008data miningGeneral MedicineData sciencebusiness intelligenceMilitary policyData cubedata cubesMilitary ScienceBusiness intelligenceolap technologyBusiness managementbusinessScientific Bulletin
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Have Fun with Math and Music!

2019

If abstraction makes mathematics strong, it often makes it also hard to learn, if not discouraging. If math pedagogy suffers from the lack of engaging strategies, the pedagogy of mathematical music theory must deal with the additional difficulty of double fields and double vocabulary. However, games and interdisciplinary references in a STEAM framework can help the learner break down complex concepts into essential ideas, and gain interest and motivation to approach advanced topics. Here we present some general considerations, followed by two examples which may be applied in a high-school or early college level course. The first is a musical application of a Rubik’s cube, the CubeHarmonic, …

VocabularySettore INF/01 - InformaticaCategories; Groups; Motivationsmedia_common.quotation_subjectGroupsCube (algebra)MusicalSettore MAT/04 - Matematiche ComplementariAbstraction (mathematics)Settore MAT/02 - AlgebraCategoriesMusic theorySimple (abstract algebra)Mathematics educationMotivationsCategory theoryGroup theorymedia_common
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Testing Soil Encasing Materials for Measuring Hydraulic Conductivity of a Sandy-Loam Soil by the Cube Methods

2008

The Cube Method (CM) and the Modified Cube Method (MCM) were developed for measuring vertical (K v ) and horizontal (K h ) saturated hydraulic conductivity of a single soil sample. By these methods, a cube of soil is carved out in situ and a suitable material is applied to enclose the cube in a tightly fitting casing before moving the sample to the laboratory. Problems may be associated with the use of gypsum, originally used to encase soil. The suitability of molten wax and expandable polyurethane foam to encase a soil cube was tested for a sandy-loam soil. Wax-treated samples yielded lower conductivity results than untreated samples by a maximum factor of 3.7. The observed discrepancies w…

WaxMaterials scienceGypsumSoil testSoil ScienceMineralogyConductivityengineering.materialSoil compaction (agriculture)Hydraulic conductivityLoamvisual_artvisual_art.visual_art_mediumengineeringSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSaturated soil hydraulic conductivity cube methods expandable polyurethane foamComposite materialCasingSoil Science Society of America Journal
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The Hierarchical Agglomerative Clustering with Gower index: a methodology for automatic design of OLAP cube in ecological data processing context

2015

In Press, Corrected Proof; International audience; The OLAP systems can be an improvement for ecological studies. In fact, ecology studies, follows and analyzes phenomenon across space and time and according to several parameters. OLAP systems can provide to ecologists browsing in a large dataset. One focus of the current research on OLAP system is the automatic design of OLAP cubes and of data warehouse schemas. This kind of works makes accessible OLAP technology to non information technology experts. But to be efficient, the automatic OLAP building must take into account various cases. Moreover the OLAP technology is based on the concept of hierarchy. Thereby the hierarchical clustering m…

[ INFO.INFO-NA ] Computer Science [cs]/Numerical Analysis [cs.NA]Computer scienceContext (language use)02 engineering and technologycomputer.software_genre020204 information systems0202 electrical engineering electronic engineering information engineeringDimension (data warehouse)Cluster analysisEcology Evolution Behavior and Systematics[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]OLAPEcologyAutomatic designApplied MathematicsEcological ModelingOnline analytical processing[ STAT.AP ] Statistics [stat]/Applications [stat.AP]InformationSystems_DATABASEMANAGEMENTHierarchical agglomerative clustering[INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]Missing dataData warehouseComputer Science ApplicationsHierarchical clustering[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Computational Theory and MathematicsModeling and SimulationOLAP cube020201 artificial intelligence & image processingData mining[SDE.BE]Environmental Sciences/Biodiversity and EcologyBird populationcomputer
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Validation of a 2D multispectral camera: application to dermatology/cosmetology on a population covering five skin phototypes

2011

International audience; This paper presents the validation of a new multispectral camera specifically developed for dermatological application based on healthy participants from five different Skin PhotoTypes (SPT). The multispectral system provides images of the skin reflectance at different spectral bands, coupled with a neural network-based algorithm that reconstructs a hyperspectral cube of cutaneous data from a multispectral image. The flexibility of neural network based algorithm allows reconstruction at different wave ranges. The hyperspectral cube provides both high spectral and spatial information. The study population involves 150 healthy participants. The participants are classif…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer sciencePopulationMultispectral imageSkin imaging system[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingspectral reflectance01 natural sciencesspectral reconstructionMultispectral pattern recognition010309 optics030207 dermatology & venereal diseases03 medical and health sciencesFitzpatrick scale0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical scienceseducationRemote sensingvalidationeducation.field_of_studyHyperspectral imagingSpectral bandshyperspectral cubemultispectral imageFace (geometry)Cube[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Reconstruction of hyperspectral cutaneous data from an artificial neural network-based multispectral imaging system.

2011

International audience; The development of an integrated MultiSpectral Imaging (MSI) system yielding hyperspectral cubes by means of artificial neural networks is described. The MSI system is based on a CCD camera, a rotating wheel bearing a set of seven interference filters, a light source and a computer. The resulting device has been elaborated for in vivo imaging of skin lesions. It provides multispectral images and is coupled with a software reconstructing hyperspectral cubes from multispectral images. Reconstruction is performed by a neural network-based algorithm using heteroassociative memories. The resulting hyperspectral cube provides skin optical reflectance spectral data combined…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceMultispectral imageHealth InformaticsDermoscopy[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesSensitivity and SpecificitySkin DiseasesMultispectral pattern recognition010309 opticsImaging systemSoftware[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingInterference (communication)0103 physical sciencesImage Interpretation Computer-AssistedSkin cancerHumansRadiology Nuclear Medicine and imagingComputer visionSpatial analysis[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingSpectral reflectanceRadiological and Ultrasound TechnologyArtificial neural networkbusiness.industryMultispectral images010401 analytical chemistryHyperspectral imagingReproducibility of ResultsEquipment DesignComputer Graphics and Computer-Aided Design0104 chemical sciencesEquipment Failure AnalysisHyperspectral cube reconstructionColorimetryComputer Vision and Pattern RecognitionArtificial intelligenceNeural Networks Computerbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingPreclinical imagingNeural networksFiltrationComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
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Kolmogorov Superposition Theorem and Its Application to Multivariate Function Decompositions and Image Representation

2008

International audience; In this paper, we present the problem of multivariate function decompositions into sums and compositions of monovariate functions. We recall that such a decomposition exists in the Kolmogorov's superposition theorem, and we present two of the most recent constructive algorithms of these monovariate functions. We first present the algorithm proposed by Sprecher, then the algorithm proposed by Igelnik, and we present several results of decomposition for gray level images. Our goal is to adapt and apply the superposition theorem to image processing, i.e. to decompose an image into simpler functions using Kolmogorov superpositions. We synthetise our observations, before …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologySuperposition theorem01 natural sciences[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION0202 electrical engineering electronic engineering information engineeringApplied mathematics0101 mathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsDiscrete mathematicsSignal processingArtificial neural network010102 general mathematicsApproximation algorithmSpline (mathematics)[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Kolmogorov structure function[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingHypercube[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing2008 IEEE International Conference on Signal Image Technology and Internet Based Systems
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Strain fields measurement of non-rigid solid by scanning laser coupled with camera

2013

International audience; Abstract. Today, the techniques of measurement without contact by scanning laser are increasingly used. These techniques allow to measure 3D objects without contact and the measurement rates can reach few thousand points by second that is very adapted to complex shapes. To measure displacements and deformations, it is necessary to follow a solid particle in its motion between two configurations of the body before and after displacement. The method of stereovision based on grayscale patterns, obtained by applying a spray, is generally used. The results are obtained by two correlations: spatial and temporal correlations. An alternative method consists to use a scanner …

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]ScannerLaser scanningComputer sciencePoint cloudelastic Body02 engineering and technology01 natural sciencesGrayscaleDisplacement (vector)law.invention010309 optics0203 mechanical engineeringlawPosition (vector)0103 physical sciencesComputer visionstrain measurement[SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Scanner Laserbusiness.industryLaser[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]020303 mechanical engineering & transportsArtificial intelligenceCubebusiness
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