Search results for "DWT"

showing 10 items of 10 documents

Use of wavelet for image processing in smart cameras with low hardware resources

2013

International audience; Images from embedded sensors need digital processing to recover high-quality images and to extract features of a scene. Depending on the properties of the sensor and on the application, the designer fits together different algorithms to process images. In the context of embedded devices, the hardware supporting those applications is very constrained in terms of power consumption and silicon area. Thus, the algorithms have to be compliant with the embedded specifications i.e. reduced computational complexity and low memory requirements. We investigate the opportunity to use the wavelet representation to perform good quality image processing algorithms at a lower compu…

Computational complexity theoryComputer scienceImage qualityEmbedded systemsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology[SPI]Engineering Sciences [physics]WaveletDigital image processing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Computer visionSmart cameraDWTDigital signal processingDenoisingDemosaicingbusiness.industry020202 computer hardware & architectureDemosaicingRecognitionHardware and Architecture020201 artificial intelligence & image processingArtificial intelligencebusinessWaveletSoftwareComputer hardware
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Discrete wavelet transform based multispectral filter array demosaicking

2013

International audience; The idea of colour filter array may be adapted to multi-spectral image acquisition by integrating more filter types into the array, and developing associated demosaicking algorithms. Several methods employing discrete wavelet transform (DWT) have been proposed for CFA demosaicking. In this work, we put forward an extended use of DWT for mul-tispectral filter array demosaicking. The extension seemed straightforward, however we observed striking results. This work contributes to better understanding of the issue by demonstrating that spectral correlation and spatial resolution of the images exerts a crucial influence on the performance of DWT based demosaicking.

Discrete wavelet transformDWT based demosaickingHyperspectral imagingComputer scienceMultispectralMultispectral image[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologymultispectral filter array demosaicking01 natural sciencesfilter array[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingimage colour analysis[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionOptical filterImage resolutionimage segmentationDemosaicingmultispectral image acquisitionHyperspectral imagingimagingspectral correlationCorrelationCFA demosaicking[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage color analysis010309 optics0103 physical sciencesoptical filtersArraysspatial images resolution[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingdiscrete wavelet transformbusiness.industryImage segmentationBinary treesDiscrete wavelet transformscolour filter arrayspectral analysisInterpolationdemosaickingFilter (video)Artificial intelligencebusinessimage resolution
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Fractal Dimension Logarithmic Differences Method for Low Voltage Series Arc Fault Detection

2021

Series arc faults introduce singularities in the current signal and changes over time. Fractal dimension can be used to characterize the dynamic behaviour of the current signal by providing a degree of signal chaos. This measure of irregularity exhibits changes in signal behaviour that can suitably be used as a basis for series arc fault detection. In this paper, an efficient low voltage series arc fault detection method based on the logarithmic differences of the estimate of the fractal dimension of the current signal using the multiresolution length-based method is presented. The discrete wavelet transform and the hard thresholding denoising with the universal threshold are also used. Exp…

Discrete wavelet transformFractal Dimension (FD)Multiresolution Length-based Method (MRL)Computer scienceArc-fault circuit interrupterFractal dimensionSignalFault detection and isolationElectric arcDiscrete Wavelet Transform (DWT)series arc signal analysisFractalWaveletArc Fault Detection Device (AFDD)Arc Fault Current Interrupter (AFCI)Algorithm2021 5th International Conference on Smart Grid and Smart Cities (ICSGSC)
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On the effects of the Double-Walled Tubes lay-out on the DEMO WCLL breeding blanket module thermal behavior

2019

Abstract The EU-DEMO Water-Cooled Lithium Lead Breeding Blanket (WCLL BB) concept foresees liquid Pb-15.7Li eutectic alloy as breeder and neutron multiplier, whereas pressurized subcooled water as coolant, with operative conditions typical of the PWR fission reactors (temperature in the range of 295–328 °C and pressure of 15.5 MPa). The cooling down of the BB is guaranteed by means of two separated cooling circuits: the one consisted in square channels housed within the complex of Side Walls and First Wall, and the one composed of a set of Double-Walled Tubes (DWTs) submerged in the Breeding Zone (BZ) and deputed to remove heat power therein generated. A parametric thermal study has been ca…

FEMBreeding BlanketMaterials scienceMechanical EngineeringNuclear engineeringBlanket7. Clean energy01 natural sciencesFinite element methodWCLL010305 fluids & plasmasCoolantSubcoolingNuclear Energy and Engineering0103 physical sciencesThermalGeneral Materials ScienceDWT010306 general physicsDEMOSettore ING-IND/19 - Impianti NucleariCooling downCivil and Structural EngineeringElectronic circuitParametric statisticsFusion Engineering and Design
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Parametric study of the influence of double-walled tubes layout on the DEMO WCLL breeding blanket thermal performances

2020

Abstract Within the framework of the EUROfusion activities regarding the EU-DEMO Breeding Blanket (BB) concept, the University of Palermo is long-time involved, in close cooperation with ENEA, in the design of the Water Cooled Lithium Lead (WCLL) BB, that is one of the two concepts under consideration for the DEMO reactor. It is mainly characterized by a liquid lithium-lead eutectic alloy acting as breeder and neutron multiplier, as well as by subcooled pressurized water flowing as coolant under PWR-like conditions (pressure of 15.5 MPa and inlet/outlet temperatures of 295 °C/328 °C). A research campaign has been recently carried out to study the potential influence of the Breeding Zone coo…

FEMMaterials scienceMechanical EngineeringNuclear engineeringDEMO; DWT; FEM; WCLL breeding blanketBlanket01 natural sciencesFinite element method010305 fluids & plasmasCoolantSubcoolingNuclear Energy and Engineering0103 physical sciencesThermalGeneral Materials ScienceNeutronDWT010306 general physicsDEMOWCLL breeding blanketSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringParametric statisticsEutectic systemFusion Engineering and Design
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UN METODO COMBINATO CWT-DWT PER IL RICONOSCIMENTO DI SEGNALI DI SCARICHE PARZIALI

2010

Settore ING-IND/31 - Elettrotecnicawavelet cwt dwt parzial discharge PD
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Wavelet Analysis Of Variance Risk Premium Spillovers

2013

In this paper we construct a variance risk premium spillover index among France, Germany, UK, Switzerland and the US. The variance risk premium is measured by the difference between the difference between the (square) of implied volatility and expected realized variance of the stock market for next month. We also construct a spillover index for the constituents of the variance risk premium. The series under investigation exhibit long memory properties. The construction of a total spillover indicator suggested by Diebold-Yilmaz (2009) would then rely on modeling a fractionally integrated Vector Autoregressive Model, which might be subject to errors in specifying the correct lag length and th…

Settore SECS-P/05 - Econometriavariance risk premium implied variance realized variance long memory MODWT spillover index
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Wavelet analysis of variance risk premium spillovers

2013

In this paper we construct a variance risk premium spillover index among France, Germany, UK, Switzerland and the US. The variance risk premium is measured by the difference between the difference between the (square) of implied volatility and expected realized variance of the stock market for next month. We also construct a spillover index for the constituents of the variance risk premium. The series under investigation exhibit long memory properties. The construction of a total spillover indicator suggested by Diebold-Yilmaz (2009) would then rely on modeling a fractionally integrated Vector Autoregressive Model, which might be subject to errors in specifying the correct lag length and th…

Settore SECS-P/05 - Econometriavariance risk premium implied variance realized variance long memory MODWT spillover index
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Preliminary thermal optimization and investigation of the overall structural behaviour of the EU-DEMO water-cooled lead lithium left outboard blanket…

2022

The conceptual design phase of the EU-DEMO reactor has been recently launched, with the aim of evolving the DEMO pre-conceptual layout towards a more robust and articulated geometric configuration able to cope with most of the design requirements and to show further margins for the passing of the current potential show-stoppers. Hence, the achievement of the conceptual design of the Water-Cooled Lead Lithium Breeding Blanket (WCLL BB) is one of the milestones the EUROfusion consortium aims to achieve in the close future. To this purpose, within the framework of the research activities promoted by EUROfusion, a research campaign has been launched at the University of Palermo, in close cooper…

ThermomechanicsLateral outboardNuclear Energy and EngineeringMechanical EngineeringDWTs optimizationFEM analysisGeneral Materials ScienceBreeding blanketSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringWCLL
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An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications.

2022

Traditional advertising techniques seek to govern the consumer’s opinion toward a product, which may not reflect their actual behavior at the time of purchase. It is probable that advertisers misjudge consumer behavior because predicted opinions do not always correspond to consumers’ actual purchase behaviors. Neuromarketing is the new paradigm of understanding customer buyer behavior and decision making, as well as the prediction of their gestures for product utilization through an unconscious process. Existing methods do not focus on effective preprocessing and classification techniques of electroencephalogram (EEG) signals, so in this study, an effective method for preprocessing and clas…

neuromarketing; EEG; SMOTE; LSTM; DWT; PSDElectrical and Electronic EngineeringBiochemistryInstrumentationVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Atomic and Molecular Physics and OpticsAnalytical ChemistrySensors (Basel, Switzerland)
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