Search results for " Processing"

showing 10 items of 7549 documents

Augmented reality based middle and inner ear surgical procedures

2020

Otologic procedures involve manipulation of small, delicate and complex structures in the temporal bone anatomy which are in close proxmity of critical nerves and blood vessels. Augmented reality (AR) can highly benefit the otological domain by providing supplementary anatomical and navigational information unified on a single display. However, despite being composed of mainly rigid bony structures, the awareness and acceptance of possibilities of AR systems in otology is fairly low. This project aims at developing video-based AR solutions for middle and inner ear surgical procedures.We propose two applications of AR in this regard. In the first application, information about middle ear cle…

Transtympanic proceduresProcédures transtympaniquesCochlear implant surgeryOtologyAugmented realityMedical image segmentationSegmentation d’image de l'oreilleOtologie[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Minimally invasive surgery[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Chirurgie mini-InvasiveChirurgie d'implant cochléaireRéalité augmentée
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Hyperfine interaction in the Autler-Townes effect: The formation of bright, dark, and chameleon states

2017

This paper is devoted to clarifying the implications of hyperfine (HF) interaction in the formation of adiabatic (i.e., ``laser-dressed'') states and their expression in the Autler-Townes (AT) spectra. We first use the Morris-Shore model [J. R. Morris and B. W. Shore, Phys. Rev. A 27, 906 (1983)] to illustrate how bright and dark states are formed in a simple reference system where closely spaced energy levels are coupled to a single state with a strong laser field with the respective Rabi frequency ${\mathrm{\ensuremath{\Omega}}}_{S}$. We then expand the simulations to realistic hyperfine level systems in Na atoms for a more general case when non-negligible HF interaction can be treated as…

PhysicsAutler–Townes effectCoupling (probability)01 natural sciencesOmegaSpectral line010305 fluids & plasmas0103 physical sciencesAtomic physics010306 general physicsGround stateHyperfine structureEnergy (signal processing)ExcitationPhysical Review A
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Ridge-line optimal detector

2000

Image processing techniques have seen many developments in recent years. Starting from the pioneering work of Canny, Deriche developed a second order recursive filter capable of detecting stepped contours. However, there are other contour shapes that those filters struggle to detect. We describe a new optimal filter sensu Canny for detecting ridge-line contours. This is a third order recursive and even filter. It is dependent on three parameters by which detection accuracy is adjusted. The results obtained by applying this filter to (possibly noise- affected) images are compared with those in the work by Ziou. © 2000 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(00)00706-6)

Computer sciencebusiness.industryDetectorGeneral EngineeringImage processingAtomic and Molecular Physics and OpticsDeriche edge detectorNoiseFilter designSignal-to-noise ratioFilter (video)Computer visionRecursive filterArtificial intelligenceOptical filterbusinessDigital filterSmoothingOptical Engineering
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Generalized feed-forward based method for wind energy prediction

2013

Abstract Even though a number of new mathematical functions have been proposed for modeling wind speed probability density distributions, still the Weibull function continues to be the most commonly used model in the literature. Therefore, the parameters of this function are still widely used to obtain typical wind probability density distributions for finding the wind energy potential by researchers, engineers and designers. Once long-term average of Weibull function’s parameters are known, then the probability density distributions can easily be obtained. Artificial neural network (ANN) can be used as alternative to analytical approach as ANN offers advantages such as no required knowledg…

EngineeringWind powerArtificial neural networkbusiness.industryMechanical EngineeringProbability density functionBuilding and ConstructionFunction (mathematics)Management Monitoring Policy and LawTurbineWind speedGeneral EnergyStatisticsApplied mathematicsbusinessPhysics::Atmospheric and Oceanic PhysicsEnergy (signal processing)Weibull distributionApplied Energy
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Tentative Recommendation on Terminology and Definitions in Respiratory Physiology: Résumé of the Isott Consensus Session 1992

1994

1 The use of small letters for the symbols “p” (partial pressure), “s” (saturation) and “c” (concentration) (e.g. pO2, sO2, cO2) follows recommendations of the IFCC and IUPAC [4]. This supports the use of contemporary word processing systems and mostly eliminates the need to use subscripts (except for chemical valencies: e.g. O2, CO2, H2CO3 etc.). The potential risk of misinterpretations and double meanings is reduced also (e.g. “cO2” [oxygen concentration] v.s. “CO2” [carbon dioxide] and “sO2” [oxygen saturation] v.s. “sO2” [sulfur dioxide]). 2 The symbol shall include the site of measurement or description, e.g. paO2 (arterial O2 partial pressure), svO2 (mixed venous oxygen saturation), o…

Discrete mathematicschemistryWord processingPhysiologychemistry.chemical_elementValue (computer science)Fraction (mathematics)Limiting oxygen concentrationSaturation (chemistry)OxygenOxygen saturationSymbol (formal)
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Determination of the LEP centre-of-mass energy from Zγ events

1999

Radiative returns to the Z resonance (Zgamma events) are used to determine the LEP2 centre-of-mass energy from the data collected with the ALEPH detector in 1997. The average centre-of-mass energy is measured to be: E_CM = 182.50 +- 0.19(stat) +- 0.08(syst) GeV in good agreement with the precise determination by the LEP energy working group of 182.652 +- 0.050 GeV. If applied to the measurement of the W mass, its precision translates into a systematic error on M_W which is smaller than the statistical error achieved from the corresponding dataset.

Systematic errorPhysicsNuclear and High Energy PhysicsParticle physicsAleph[PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex]010308 nuclear & particles physicsElectron–positron annihilationDetectorFOS: Physical sciences01 natural sciencesResonance (particle physics)High Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment (hep-ex)0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Radiative transferStatistical errorHigh Energy Physics::Experiment010306 general physicsParticle Physics - ExperimentEnergy (signal processing)
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Spatial noise-aware temperature retrieval from infrared sounder data

2020

In this paper we present a combined strategy for the retrieval of atmospheric profiles from infrared sounders. The approach considers the spatial information and a noise-dependent dimensionality reduction approach. The extracted features are fed into a canonical linear regression. We compare Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF) for dimensionality reduction, and study the compactness and information content of the extracted features. Assessment of the results is done on a big dataset covering many spatial and temporal situations. PCA is widely used for these purposes but our analysis shows that one can gain significant improvements of the error rates when using…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine Learningbusiness.industryComputer scienceDimensionality reductionFeature extraction0211 other engineering and technologiesWord error ratePattern recognitionRegression analysis02 engineering and technologyMachine Learning (cs.LG)Principal component analysisLinear regression0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceElectrical Engineering and Systems Science - Signal ProcessingbusinessSpatial analysis021101 geological & geomatics engineering
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Impact of antigen presentation on TCR modulation and cytokine release: implications for detection and sorting of antigen-specific CD8+ T cells using …

2002

Abstract Soluble MHC class I molecules loaded with antigenic peptides are available either to detect and to enumerate or, alternatively, to sort and expand MHC class I-restricted and peptide-reactive T cells. A defined number of MHC class I/peptide complexes can now be implemented to measure T cell responses induced upon Ag-specific stimulation, including CD3/CD8/ζ-chain down-regulation, pattern, and quantity of cytokine secretion. As a paradigm, we analyzed the reactivity of a Melan-A/MART-1-specific and HLA-A2-restricted CD8+ T cell clone to either soluble or solid-phase presented peptides, including the naturally processed and presented Melan-A/MART-1 peptide AAGIGILTV or the peptide ana…

Cytotoxicity ImmunologicT cellCD8 AntigensImmunologyAntigen presentationReceptors Antigen T-CellDown-RegulationEpitopes T-LymphocyteCD8-Positive T-LymphocytesMHC class IHLA-A2 AntigenmedicineImmunology and AllergyCytotoxic T cellHumansAntigen PresentationPeptide analogbiologyAntigen processingMembrane ProteinsMHC restrictionMolecular biologymedicine.anatomical_structureAmino Acid SubstitutionReceptor-CD3 Complex Antigen T-Cellbiology.proteinMutagenesis Site-DirectedCytokinesCD8Journal of immunology (Baltimore, Md. : 1950)
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Long-range intralaminar noise correlations in the barrel cortex

2015

Identifying the properties of correlations in the firing of neocortical neurons is central to our understanding of cortical information processing. It has been generally assumed, by virtue of the columnar organization of the neocortex, that the firing of neurons residing in a certain vertical domain is highly correlated. On the other hand, firing correlations between neurons steeply decline with horizontal distance. Technical difficulties in sampling neurons with sufficient spatial information have precluded the critical evaluation of these notions. We used 128-channel “silicon probes” to examine the spike-count noise correlations during spontaneous activity between multiple neurons with i…

MalePhysiologyNerve netStatistics as TopicAction PotentialsNeural CircuitsSomatosensory systemElectricityPhysical StimulationmedicineAnimalsRats WistarNeuronsPhysicsAfferent PathwaysNoise (signal processing)General NeuroscienceSomatosensory CortexBarrel cortexVoltage-Sensitive Dye ImagingRatsmedicine.anatomical_structurenervous systemVibrissaeNerve NetNeuroscienceJournal of Neurophysiology
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A Fuzzy Chance-constraint Programming Model for a Home Health Care Routing Problem with Fuzzy Demand

2017

Operations research010102 general mathematics02 engineering and technologyConstraint programming model01 natural sciencesFuzzy logicMicroeconomicsFuzzy transportationHome health0202 electrical engineering electronic engineering information engineeringEconomics020201 artificial intelligence & image processing0101 mathematicsRouting (electronic design automation)Proceedings of the 6th International Conference on Operations Research and Enterprise Systems
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