Search results for " Computer Vision"

showing 10 items of 352 documents

Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Imag…

2021

The emergence of multi-parametric magnetic resonance imaging (mpMRI) has had a profound impact on the diagnosis of prostate cancers (PCa), which is the most prevalent malignancy in males in the western world, enabling a better selection of patients for confirmation biopsy. However, analyzing these images is complex even for experts, hence opening an opportunity for computer-aided diagnosis systems to seize. This paper proposes a fully automatic system based on Deep Learning that takes a prostate mpMRI from a PCa-suspect patient and, by leveraging the Retina U-Net detection framework, locates PCa lesions, segments them, and predicts their most likely Gleason grade group (GGG). It uses 490 mp…

MaleFOS: Computer and information sciencesMultidisciplinaryDatabases FactualComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionProstateProstatic NeoplasmsFOS: Physical sciencesPhysics - Medical PhysicsDeep LearningHumansMedical Physics (physics.med-ph)Multiparametric Magnetic Resonance Imaging
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Convolutional Neural Networks for Multispectral Image Cloud Masking

2020

Convolutional neural networks (CNN) have proven to be state of the art methods for many image classification tasks and their use is rapidly increasing in remote sensing problems. One of their major strengths is that, when enough data is available, CNN perform an end-to-end learning without the need of custom feature extraction methods. In this work, we study the use of different CNN architectures for cloud masking of Proba-V multispectral images. We compare such methods with the more classical machine learning approach based on feature extraction plus supervised classification. Experimental results suggest that CNN are a promising alternative for solving cloud masking problems.

Masking (art)FOS: Computer and information sciencesComputer Science - Machine Learning010504 meteorology & atmospheric sciencesContextual image classificationbusiness.industryComputer scienceComputer Vision and Pattern Recognition (cs.CV)Feature extractionMultispectral image0211 other engineering and technologiesComputer Science - Computer Vision and Pattern RecognitionCloud computingPattern recognition02 engineering and technology01 natural sciencesConvolutional neural networkMachine Learning (cs.LG)Artificial intelligenceState (computer science)business021101 geological & geomatics engineering0105 earth and related environmental sciences
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Oil whip-induced wear in journal bearings

2014

Published version of an article in the journal: International Journal of Advanced Manufacturing Technology. Also available from the publisher at: http://dx.doi.org/10.1007/s00170-014-5805-8 This paper investigates the effect of oil whirl and oil whip in fluid film radial bearings due to possible metallic contact. The degree of metallic contact and thereby wear and tear between rotating shafts and bearing bushes is assessed by measuring electric currents through the oil film. The current as well as the voltage varied in accordance with the contact ratio between the shaft and bush in the fluid film radial bearing. The gauge signal thus indicates the degree of metallic contact based on the thi…

Materials scienceBearing (mechanical)Wear and tearMechanical Engineeringoil whipComputer Science Applications1707 Computer Vision and Pattern RecognitionIndustrial and Manufacturing Engineeringoil whirlComputer Science Applicationslaw.inventionFluid film radial bearings; Oil whip; Oil whirl; Industrial and Manufacturing Engineering; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Software; Mechanical EngineeringControl and Systems EngineeringlawOil filmfluid film radial bearingsHigh loadGeotechnical engineeringVDP::Technology: 500::Materials science and engineering: 520Current (fluid)Whip (tree)SoftwareVoltageThe International Journal of Advanced Manufacturing Technology
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Performance Enhancement of Alkaline Water Electrolyzer Using Nanostructured Electrodes Synthetized by Template Electrosynthesis

2018

The increase of power generation by renewable sources is causing problems in the management of the electricity grid. In order to favor the transition from the current energy production towards renewable energy sources, it is necessary to plan strategy to develop suitable energy storage systems. Certainly, the electrochemical hydrogen production can be considered as one of the most promising storage technologies. In this work, an innovative alkaline electrolyzer is presented from its design based on the use of nanostructured electrodes up to its implementation suggested by the results of tests simulating real operation. The nanostructured electrodes were fabricated by template electrosynthes…

Materials scienceEnergy storagehydrogen productionnanowires nichel cobalt alloy 3D printed cell water splitting hydrogen alkaline electrolysiEnergy Engineering and Power TechnologyNanotechnologyElectrochemistryElectrosynthesisEnergy storageIndustrial and Manufacturing Engineeringlaw.inventionlawArtificial IntelligenceInstrumentationHydrogen productionElectrolysisbusiness.industryRenewable Energy Sustainability and the Environmentnanostructured materialAlkaline water electrolysisComputer Science Applications1707 Computer Vision and Pattern RecognitionRenewable energyElectricity generationComputer Networks and CommunicationSettore ING-IND/23 - Chimica Fisica Applicatabusiness
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Electroplated bismuth absorbers for planar NTD-Ge sensor arrays applied to hard x-ray detection in astrophysics

2018

Single sensors or small arrays of manually assembled neutron transmutation doped germanium (NTD-Ge) based microcalorimeters have been widely used as high energy-resolution detectors from infrared to hard X-rays. Several planar technological processes were developed in the last years aimed at the fabrication of NTD-Ge arrays, specifically designed to produce soft X-ray detectors. One of these processes consists in the fabrication of the absorbers. In order to absorb efficiently hard X-ray photons, the absorber has to be properly designed and a suitable material has to be employed. Bismuth offers interesting properties in terms of absorbing capability, of low heat capacity (needed to obtain h…

Materials scienceFabricationelectroplatingNTD-GeX-ray detectorchemistry.chemical_elementGermaniumCondensed Matter Physic01 natural sciencesthick film010305 fluids & plasmasBismuthX-rayPlanarSettore FIS/05 - Astronomia E AstrofisicaMicrocalorimeter0103 physical sciencesbismuthElectrical and Electronic Engineering010306 general physicsElectroplatingbusiness.industryElectronic Optical and Magnetic MaterialDopingDetectorComputer Science Applications1707 Computer Vision and Pattern RecognitionApplied MathematicchemistryOptoelectronicsbusiness
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Fabrication and Characterisation of Perovskite Thin Films for Photovoltaic Application

2018

This paper presents an alternative way to obtain perovskite thin films for photovoltaic application. This technique results more competitive, scalable, low-cost, reproducible and is different from other most common methods of fabrication.

Materials scienceFabricationthin filmRenewable Energy Sustainability and the EnvironmentPhotovoltaic systemPerovskite solar cellEnergy Engineering and Power TechnologyNanotechnologyComputer Science Applications1707 Computer Vision and Pattern RecognitionPerovskite solar cellIndustrial and Manufacturing EngineeringComputer Networks and CommunicationSettore ING-IND/23 - Chimica Fisica ApplicataArtificial Intelligenceperovskite thin films electrodeposition lead oxide solar cellThin filmInstrumentationPerovskite (structure)electrochemical deposition
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Partial Discharges Diagnostics Along Medium Voltage Cables

2018

In the last years different partial discharge (PD) measuring techniques have been developed because PD diagnostic is the most widely tool to evaluate the insulation condition of a power cable. Recently non-conventional methods and sensors have been used in order to reach improved results in PD measurements. New sensors based on wireless technology were developed in order to simplify PD measurement especially for on-line, on-site diagnosis. The purpose of this work is to perform measurements that allow to study the variation of pulses when they travel along a medium voltage cable and characterize a new smart PD source detector and locator, named Wings sensor. For these purposes, internal PD …

Materials scienceRenewable Energy Sustainability and the Environmentbusiness.industryAcousticsPD MeasurementDetectordiagnosticEnergy Engineering and Power TechnologyComputer Science Applications1707 Computer Vision and Pattern RecognitionRotationSignalIndustrial and Manufacturing Engineeringantenna sensorpartial dischargeSettore ING-IND/31 - ElettrotecnicaComputer Networks and CommunicationIntelligent sensorArtificial IntelligencePartial dischargeWirelessPower cablebusinessInstrumentationVoltage2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Experimental Characterization of the Human Meniscal Tissue

2018

The meniscus plays a critical role in load transmission, stability and energy dissipation in the knee joint. Loss of the meniscus leads to joint degeneration and osteoarthritis. In a number of cases replacement of the resected meniscal tissue by a synthetic implant might avoid the articular cartilage degeneration. None of the available implants presents optimal biomechanics characteristic due to the fact the biomechanics functionality of the meniscus is not yet fully understood. Mimicking the native biomechanical characteristics of the menisci seems to be the key factor in meniscus replacement functioning. This is extremely challenging due to its complex inhomogeneous microstructure, the la…

Materials sciencemeniscal tissue0206 medical engineeringEnergy Engineering and Power TechnologyArticular cartilage02 engineering and technologyDegeneration (medical)OsteoarthritisKnee JointMeniscus (anatomy)fractional viscoelasticityIndustrial and Manufacturing Engineering0203 mechanical engineeringArtificial IntelligencemedicineInstrumentationMeniscal tissueRenewable Energy Sustainability and the EnvironmentBiomechanicsComputer Science Applications1707 Computer Vision and Pattern Recognitionmusculoskeletal systemmedicine.disease020601 biomedical engineeringCharacterization (materials science)Computer Networks and Communication020303 mechanical engineering & transportsmedicine.anatomical_structureBiaxial testSettore ICAR/08 - Scienza Delle CostruzioniBiomedical engineering2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Detection of Partial Discharges at Square Shaped Voltages

2018

Due to the wide use of electronic converters and the introduction of new powerful power electronics devices, the input waveforms most often used are becoming much different than the traditional power frequent sinusoidal one. In High Voltage (HV) apparatus particularly, this condition can increase the stress on the insulation systems that may lower the reliability of the whole power grid. This type of input voltage, often showing an increased voltage gradient, causes problems in the Partial Discharge (PD) measurement setup and acquisition systems, also due to the increased harmonic content. In this paper, the main aim is to discuss how to suitably approach the measurement technique of PDs at…

Materials scienceunconventional streRenewable Energy Sustainability and the Environmentbusiness.industrypattern recognitionElectrical engineeringEnergy Engineering and Power TechnologyComputer Science Applications1707 Computer Vision and Pattern RecognitionHigh voltageConvertersIndustrial and Manufacturing EngineeringPower (physics)Computer Networks and CommunicationReliability (semiconductor)Artificial IntelligencePartial dischargePower electronicsPartial dischargeHarmonicPWMbusinessInstrumentationVoltage2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Reliability-based design optimization of trusses under dynamic shakedown constraints

2019

A reliability-based design optimization problem under dynamic shakedown constraints for elastic perfectly plastic truss structures subjected to stochastic wind actions is presented. The simultaneous presence of quasi-static (cyclic) thermal loads is also considered. As usual in the shakedown theory, the quasi-statical loads will be defined as variable within a deterministic domain, while the dynamic problem will be treated considering an extended Ceradini-Gavarini approach. Some sources of uncertainties are introduced in the structural system and in the load definition. The reliability-optimization problem is formulated as the minimization of the volume of the structure subjected to determi…

Mathematical optimizationControl and OptimizationOptimization problemComputer scienceMonte Carlo methodStructural system0211 other engineering and technologiesTruss02 engineering and technology0203 mechanical engineeringDynamic problemReliability-based designDynamic shakedownReliability (statistics)021106 design practice & managementElastic plastic trusseProbabilistic logicComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputer Science ApplicationsShakedown020303 mechanical engineering & transportsControl and Systems EngineeringSettore ICAR/08 - Scienza Delle CostruzioniSoftwareStochastic wind loadStructural and Multidisciplinary Optimization
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