Search results for " Processing"

showing 10 items of 7549 documents

Joint Sub-Carrier and Power Allocation for Efficient Communication of Cellular UAVs

2020

| openaire: EC/H2020/857031/EU//5G!Drones Cellular networks are expected to be the main communication infrastructure to support the expanding applications of Unmanned Aerial Vehicles (UAVs). As these networks are deployed to serve ground User Equipment (UEs), several issues need to be addressed to enhance cellular UAVs’ services. In this paper, we propose a realistic communication model on the downlink, and we show that the Quality of Service (QoS) for the users is affected by the number of interfering BSs and the impact they cause. The joint problem of sub-carrier and power allocation is therefore addressed. Given its complexity, which is known to be NP-hard, we introduce a solution based …

game theorySignal Processing (eess.SP)FOS: Computer and information sciencescellular networksComputer scienceDistributed computing02 engineering and technologyComputer Science - Networking and Internet ArchitectureTelecommunications linkFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringWirelessElectrical Engineering and Systems Science - Signal ProcessingElectrical and Electronic EngineeringUnmanned aerial vehicles (UAVs)Networking and Internet Architecture (cs.NI)business.industryApplied MathematicsQuality of serviceMatching game020206 networking & telecommunicationsdownlink communicationComputer Science ApplicationsModels of communicationCellular networkbusinessGame theoryIEEE Transactions on Wireless Communications
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AUTOMATIC RETINA EXUDATES SEGMENTATION WITHOUT A MANUALLY LABELLED TRAINING SET

2011

International audience; Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, two new methods for the detection of exudates are presented. The methods do not require a lesion training set so the need to ground-truth data is avoided with significant time savings and independence from human error. We evaluate our algorithm with a new publicly available dataset from various ethnic groups and levels of DME. Also, we compare our results with two recent exudate segmentation algorithms on the same dataset. In all of …

genetic structures02 engineering and technologyFundus (eye)030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringmedicineMedical imagingSegmentationComputer visionRetinabusiness.industrySupervised learningDiabetic retinopathyImage segmentationmedicine.diseaseeye diseasesmedicine.anatomical_structure[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Computer-aided diagnosis[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingArtificial intelligencebusiness
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Classifying DME vs Normal SD-OCT volumes: A review

2016

International audience; This article reviews the current state of automatic classification methodologies to identify Diabetic Macular Edema (DME) versus normal subjects based on Spectral Domain OCT (SD-OCT) data. Addressing this classification problem has valuable interest since early detection and treatment of DME play a major role to prevent eye adverse effects such as blindness. The main contribution of this article is to cover the lack of a public dataset and benchmark suited for classifying DME and normal SD-OCT volumes, providing our own implementation of the most relevant methodologies in the literature. Subsequently, 6 different methods were implemented and evaluated using this comm…

genetic structuresComputer scienceDiabetic macular edemaEarly detection[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingMachine learningcomputer.software_genre01 natural sciences010309 optics03 medical and health sciences0302 clinical medicinebenchmark0103 physical sciencesmedicine[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingRetinaBlindnessbusiness.industryMachine Learning (ML)medicine.diseaseeye diseasesSpectral Domain OCT (SD-OCT)medicine.anatomical_structure030221 ophthalmology & optometryBenchmark (computing)Artificial intelligenceData miningsense organsDiabetic Macular Edema (DME)businesscomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Oxygen parameters of blood: Definitions and symbols

1990

Definitions and symbols for relevant parameters of the oxygen status of arterial blood are recommended. The recommendations are as simple as possible, easy to understand, and devoid of misinterpretations and double meanings. The authors propose no new definitions for limited new methods, no combination of symbols and methods, and no association between definition, symbol and commercial name.

genetic structuresComputer sciencebusiness.industryAssociation (object-oriented programming)Clinical BiochemistryArteriesGeneral Medicinecomputer.software_genrebehavioral disciplines and activitiesSymbol (chemistry)OxygenHemoglobinsTerminology as Topicmental disordersHumansAbbreviations as TopicArtificial intelligenceBlood Gas Analysisbusinesscomputerpsychological phenomena and processesNatural language processingSimple (philosophy)Blood gas analysisScandinavian Journal of Clinical and Laboratory Investigation
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Classification of SD-OCT Volumes with LBP: Application to DME Detection

2015

International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Our method is based on Local Binary Patterns (LBP) features to describe the texture of Optical Coherence Tomography (OCT) images and we compare different LBP features extraction approaches to compute a single signature for the whole OCT volume. Experimental results with two datasets of respectively 32 and 30 OCT volumes show that regardless of using low or high level representations, features derived from LBP texture have highly discriminative power. Moreover, the experimen…

genetic structuresLocal binary patternsComputer scienceDiabetic macular edemaSpectral domain02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineOptical coherence tomographyDiscriminative modelLBP0202 electrical engineering electronic engineering information engineeringmedicineDMEComputer vision[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingmedicine.diagnostic_testbusiness.industryeye diseasesDiabetic Macular EdemaOCT020201 artificial intelligence & image processingArtificial intelligencesense organsOptical Coherence Tomographybusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection

2016

International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Optical Coherence Tomography (OCT) has been a valuable diagnostic tool for DME, which is among the most common causes of irreversible vision loss in individuals with diabetes. Here, a classification framework with five distinctive steps is proposed and we present an extensive study of each step. Our method considers combination of various pre-processings in conjunction with Local Binary Patterns (LBP) features and different mapping strategies. Using linear and non-linear cl…

genetic structures[INFO.INFO-IM] Computer Science [cs]/Medical Imaging[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Segmentationlcsh:OphthalmologySpeckleLBPDiagnosisPrevalencePreprocessorComputer visionSegmentationmedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingExperimental validationDiabetic Macular Edema[ SDV.MHEP.OS ] Life Sciences [q-bio]/Human health and pathology/Sensory OrgansOptical Coherence Tomography[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingResearch ArticleArticle SubjectLocal binary patterns03 medical and health sciencesSpeckle patternOptical coherence tomography[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyMedical imagingmedicineDME[INFO.INFO-IM]Computer Science [cs]/Medical ImagingCoherence (signal processing)Texture[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory OrgansRetinopathy[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitioneye diseasesOphthalmologyOCTlcsh:RE1-994030221 ophthalmology & optometryImagesArtificial intelligencebusiness030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Early attraction in temporally controlled sight reading of music

2018

A music reader has to “look ahead” from the notes currently being played—this has usually been called the Eye-Hand Span. Given the restrictions on processing time due to tempo and meter, the Early Attraction Hypothesis suggests that sight readers are likely to locally increase the span of looking ahead in the face of complex upcoming symbols (or symbol relationships). We argue that such stimulus-driven effects on looking ahead are best studied using a measure of Eye-Time Span (ETS) which redefines looking ahead as the metrical distance between the position of a fixation in the score and another position that corresponds to the point of metrical time at fixation onset. In two experiments of …

genetic structuresmusiikkipsykologiasilmänliikkeetPerceptual spanpsychology of musicParafoveal processingparafoveal processingMeterSaccadic controlEye trackingeye-hand spanEye-hand spanQM1-695perceptual spanPsychology of musicTempotempoHuman anatomykatseenseurantasaccadic controleye-time spannuotinlukuEye-time spanmetermusic readingMusic readingResearch ArticleJournal of Eye Movement Research
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Ground motion phenomena in Caltanissetta (Italy) investigated by InSAR and geological data integration

2008

Urban areas are frequently affected by ground instabilities of various origins. The location of urban zones affected by ground instability phenomena is crucially important for hazard mitigation policies. Satellite-based Interferometric Synthetic Aperture Radar (InSAR) has demonstrated its remarkable capability to detect and quantify ground and building motion in urban areas, especially since the development of Advanced Differential Interferometric SAR techniques (A-DInSAR). In fact, the high density of re.ectors like buildings and infrastructures in urban areas improves the quality of the InSAR signal, allowing sub-centimetric displacements to be reliably detected. The A-DInSAR techniques a…

geographyData processinggeography.geographical_feature_categoryGeographic information systembusiness.industrySettore GEO/04 - Geografia Fisica E GeomorfologiaGeologySubsidenceSite analysisGeotechnical Engineering and Engineering GeologyUrban areaUrban geology ground instabilitiesInSAR GISSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Natural hazardInterferometric synthetic aperture radarSatellitebusinessSeismologyGeologyRemote sensing
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Modern Multispectral Sensors Help Track Explosive Eruptions

2013

Due to its massive air traffic impact, the 2010 eruption of Eyjafjallajokull was felt by millions of people and cost airlines more than U.S. $1.7 billion. The event has, thus, become widely cited in renewed efforts to improve real-time tracking of volcanic plumes, as witnessed by special sections published last year in Journal of Geophysical Research, (117, issues D20 and B9).

geographyExplosive eruptiongeography.geographical_feature_category010504 meteorology & atmospheric sciencesMeteorologyStrombolian Eruptions Multi-sensor field surveyMultispectral imageAir traffic control010502 geochemistry & geophysicsTrack (rail transport)01 natural sciencesAeronauticsVolcano[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing13. Climate action[SDU]Sciences of the Universe [physics]General Earth and Planetary SciencesGeologyComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences
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Acoustic detection of neutrinos in bedrock

2019

We propose to utilize bedrock as a medium for acoustic detection of particle showers following interactions of ultra-high energy neutrinos. With the density of rock three-times larger and the speed of sound four-times larger compared to water, the amplitude of the generated bipolar pressure pulse in rock should be larger by an order of magnitude. Our preliminary simulations confirm that prediction. Higher density of rock also guarantees higher interaction rate for neutrinos. A noticeably longer attenuation length in rock reduces signal dissipation. The Pyh\"asalmi mine has a unique infrastructure and rock conditions to test this idea and, if successful, extend it to a full-size experiment.

geographyPhysics - Instrumentation and Detectorsgeography.geographical_feature_categoryBedrockPhysicsQC1-999neutriinotAttenuation lengthFOS: Physical sciencesGeophysicsInstrumentation and Detectors (physics.ins-det)DissipationHigh Energy Physics - ExperimentPhysics::GeophysicsHigh Energy Physics - Experiment (hep-ex)AmplitudeilmaisimetkallioperäSpeed of soundNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Order of magnitudeEnergy (signal processing)Geology
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