Search results for " Filtering"

showing 10 items of 108 documents

Novel nanocrystalline cores for EMI suppression in cables: characterization methodology and performance study

2021

El control de las interferencias electromagnéticas (EMI) en dispositivos electrónicos es un problema cada vez mayor al que se enfrentan los diseñadores para garantizar que los dispositivos cumplan con los requisitos de compatibilidad electromagnética (EMC) para operar simultáneamente sin inferir entre sí. Este hecho se debe a la tendencia hacia una mayor integración de componentes, la reducción del tamaño y grosor de las placas de circuito impreso (PCB) y la miniaturización de las carcasas de los dispositivos. Además, otros factores como el empleo de frecuencias de conmutación más altas en los convertidores de potencia y las velocidades de datos de comunicación en los circuitos digitales. C…

cable filtering:CIENCIAS TECNOLÓGICAS [UNESCO]ceramic materialsinsertion lossimpedancerelative permeabilitynanocrystallinefinite element method simulationUNESCO::CIENCIAS TECNOLÓGICASelectromagnetic compatibilityelectromagnetic interference suppressors
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Influenza dei filtri di convoluzione sulla misurazione dei valori di attenuazione della placca durante angiografia coronarica mediante TC multistrato

2005

convolution kernel filtering
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Optimization of Delayed-State Kalman-Filter-based Algorithm via Differential Evolution for Sensorless Control of Induction Motors

2010

This paper proposes the employment of the differential evolution (DE) to offline optimize the covariance matrices of a new reduced delayed-state Kalman-filter (DSKF)-based algorithm which estimates the stator-flux linkage components, in the stationary reference frame, to realize sensorless control of induction motors (IMs). The DSKF-based algorithm uses the derivatives of the stator-flux components as mathematical model and the stator-voltage equations as observation model so that only a vector of four variables has to be offline optimized. Numerical results, carried out using a low-speed training test, show that the proposed DE-based approach is very promising and clearly outperforms a cla…

evolutionary algorithms (EAs)induction-motor (IM) drivesvelocity controlspeed sensorlessProportional controlcovariance matricesKalman filteralgorithmsSliding mode controlControl and Systems EngineeringRobustness (computer science)Control theoryAC motor drivesDifferential evolutionoptimization methodsstate estimationElectrical and Electronic EngineeringRobust controlparameter estimationAlgorithmStationary Reference FrameKalman filteringInduction motorMathematics
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Influence of bed roughness on flow and turbulence structure around a partially-buried, isolated freshwater mussel

2023

The present study uses eddy-resolving numerical simulations to investigate how bed roughness affects flow and turbulence structure around an isolated, partially-buried mussel (Unio elongatulus) aligned with the incoming flow. The rough-bed simulations resolve the flow past the exposed part of a gravel bed, whose surface is obtained from a laboratory experiment that also provides some additional data for validation of the numerical model. Results are also discussed for the limiting case of a horizontal smooth bed. Additionally, the effects of varying the level of burial of the mussel inside the substrate and the discharge through the two mussel siphons are investigated via a set of simulatio…

filtering activityturbulencefreshwater mussel turbulence gravel bed roughness filtering activity computational fluid dynamicscomputational fluid dynamicsfreshwater musselSettore ICAR/06 - Topografia E CartografiaGravel bed Bed roughness Numerical Simulations Flow Field Turbulence StructureSettore ICAR/01 - IdraulicaWater Science and Technologygravel bedroughness
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Directionlets: Anisotropic Multidirectional representation with separable filtering

2006

In spite of the success of the standard wavelet transform (WT) in image processing in recent years, the efficiency of its representation is limited by the spatial isotropy of its basis functions built in the horizontal and vertical directions. One-dimensional (1-D) discontinuities in images (edges and contours) that are very important elements in visual perception, intersect too many wavelet basis functions and lead to a nonsparse representation. To efficiently capture these anisotropic geometrical structures characterized by many more than the horizontal and vertical directions, a more complex multidirectional (M-DIR) and anisotropic transform is required. We present a new lattice-based pe…

geometrysparse image representationMultiresolution analysisInformation Storage and RetrievalGeometryBasis functionDirectional vanishing momentsseparable filteringwaveletsWaveletmultiresolutionImage Interpretation Computer-AssistedComputer GraphicsCurveletComputer SimulationmultidirectionMathematicsStochastic ProcessesModels StatisticalMathematical analysisWavelet transformfilter banksNumerical Analysis Computer-AssistedSignal Processing Computer-AssistedImage EnhancementFilter bankComputer Graphics and Computer-Aided DesignContourletFilter designAnisotropyArtifactsdirectionletsAlgorithmsFiltrationSoftware
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High-frequency filtering for low-temperature thermal transport studies in nanostructures

2012

Filtering of external unwanted RF-noise and thermal noise generated at the high-temperature parts of the measuring circuit is essential for successful measurements of thermal transport of nanostructures at low temperatures. This is because of thermal decoupling of the systems, i.e. the extreme weakness of thermal conduction at sub-Kelvin temperatures, leading easily to overheating even with excess power in sub pW range. We have started to improve the noise filtering in our cryogenic dilution refrigerators, which can reach a base temperature of ~ 50 mK. The miniature low-pass filters were made from special RF sealing compound Eccosorb CR124, stainless steel powder of grain size 50 micrometer…

high frequency filteringnanorakenteetdilution refrigeratorpowder filterSINISfysiikkaeccosorbmicrofabrication
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Restoration and Enhancement of Historical Stereo Photos

2021

Restoration of digital visual media acquired from repositories of historical photographic and cinematographic material is of key importance for the preservation, study and transmission of the legacy of past cultures to the coming generations. In this paper, a fully automatic approach to the digital restoration of historical stereo photographs is proposed, referred to as Stacked Median Restoration plus (SMR+). The approach exploits the content redundancy in stereo pairs for detecting and fixing scratches, dust, dirt spots and many other defects in the original images, as well as improving contrast and illumination. This is done by estimating the optical flow between the images, and using it …

image denoisingComputer sciencemedia_common.quotation_subjectNoise reductionComputer applications to medicine. Medical informaticsR858-859.7ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flow02 engineering and technologyimage restorationArticleoptical flowgradient filteringPhotography0202 electrical engineering electronic engineering information engineeringRedundancy (engineering)historical photosContrast (vision)Radiology Nuclear Medicine and imagingComputer visionimage enhancementElectrical and Electronic EngineeringTR1-1050stereo matchingImage restorationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioniguided supersamplingImage fusionSettore INF/01 - Informaticabusiness.industry020206 networking & telecommunicationsSupersamplingQA75.5-76.95stacked medianComputer Graphics and Computer-Aided DesignTransmission (telecommunications)Electronic computers. Computer science020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessimage denoising image restoration image enhancement stereo matching optical flow gradient filtering stacked median guided supersampling historical photosJournal of Imaging
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A recommendation system for the prediction of drug-target associations

2022

In this chapter a recommendation system is presented, based on the integration of a Protein-Protein Interaction (PPI) network taken from the Intact database, and a set of associations between drugs and targets taken from the DrugBank database. Depending on how proteins are connected on the PPI network, given an input drug the system suggests new targets. The framework adopted for the implementation is Apache Spark, useful for loading, managing and manipulating data by means of appropriate Resilient Distributed Datasets (RDD), and for the use of the Alternating Least Square (ALS) machine learning algorithm, a Matrix Factorization algorithm for distributed and parallel computing.Finally, an a…

machine learningSettore INF/01 - Informaticacollaborative filteringdrugs
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Data from: Temperature-associated habitat selection in a cold-water marine fish

2016

Habitat selection is a complex process, which involves behavioural decisions guided by the multiple needs and constraints faced by individuals. Climate-induced changes in environmental conditions may alter those trade-offs and resulting habitat use patterns. In this study we investigated the effect of sea temperature on habitat selection and habitat use of acoustically tagged Atlantic cod (Gadus morhua) at the Norwegian Skagerrak coast. Significant relationships between ocean temperature and habitat selection and use were found. Under favourable sea temperature thresholds (< 16°C), cod selected vegetated habitats, such as eelgrass and macroalgae beds, available in shallow areas. Selectio…

medicine and health careMarine ReserveVemco positioning systemVPSfungiMedicineLife scienceslocation filtering
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Editorial for the Special Issue “Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions”

2019

This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.

medicine.medical_specialtyGeospatial analysisComputer sciencehyperspectral imagingSciencecomputer.software_genrehyperspectral imaging; point cloud; sensor integration; data fusion; machine learning; deep learning; classification; estimation; semantic segmentation; object detection; point cloud filteringmedicine3D-mallinnussensor integrationpoint cloud filteringdata fusionestimationbusiness.industryDeep learningspektrikuvausQHyperspectral imagingdeep learningobject detectionSensor fusionObject (computer science)Data scienceObject detectionsemantic segmentationSpectral imagingVariety (cybernetics)classificationpoint cloud filteringsegmentointikoneoppiminenmachine learningclassificationGeneral Earth and Planetary SciencesArtificial intelligencekaukokartoitusbusinesscomputerpoint cloudRemote Sensing
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