Search results for "GC"

showing 10 items of 606 documents

Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning

2019

International audience; Object detection in road scenes is necessary to develop both autonomous vehicles and driving assistance systems. Even if deep neural networks for recognition task have shown great performances using conventional images, they fail to detect objects in road scenes in complex acquisition situations. In contrast, polarization images, characterizing the light wave, can robustly describe important physical properties of the object even under poor illumination or strong reflections. This paper shows how non-conventional polarimetric imaging modality overcomes the classical methods for object detection especially in adverse weather conditions. The efficiency of the proposed …

FOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMachine Learning (stat.ML)02 engineering and technology010501 environmental sciences01 natural sciencesMachine Learning (cs.LG)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.GCIV.IT]Engineering Sciences [physics]/Civil Engineering/Infrastructures de transportStatistics - Machine Learning0202 electrical engineering electronic engineering information engineeringComputer vision0105 earth and related environmental sciencesAdverse weatherbusiness.industryDeep learningPolarization (waves)Object detectionRGB color model020201 artificial intelligence & image processingArtificial intelligencebusiness
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The Descriptive Complexity Approach to LOGCFL

1998

Building upon the known generalized-quantifier-based first-order characterization of LOGCFL, we lay the groundwork for a deeper investigation. Specifically, we examine subclasses of LOGCFL arising from varying the arity and nesting of groupoidal quantifiers. Our work extends the elaborate theory relating monoidal quantifiers to NC1 and its subclasses. In the absence of the BIT predicate, we resolve the main issues: we show in particular that no single outermost unary groupoidal quantifier with FO can capture all the context-free languages, and we obtain the surprising result that a variant of Greibach's ``hardest context-free language'' is LOGCFL-complete under quantifier-free BIT-free proj…

FOS: Computer and information sciencesFinite model theoryUnary operationComputer Networks and Communicationsautomata and formal languages0102 computer and information sciencesComputational Complexity (cs.CC)Computer Science::Computational ComplexityArityDescriptive complexity theory01 natural sciencesTheoretical Computer ScienceComputer Science::Logic in Computer ScienceNondeterministic finite automaton0101 mathematicsLOGCFLMathematicsDiscrete mathematicscomputational complexityApplied Mathematics010102 general mathematicsdescriptive complexityNondeterministic algorithmComputer Science - Computational Complexityfinite model theoryQuantifier (logic)Computational Theory and Mathematics010201 computation theory & mathematicsF.1.3Journal of Computer and System Sciences
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Time Difference of Arrival Estimation from Frequency-Sliding Generalized Cross-Correlations Using Convolutional Neural Networks

2020

The interest in deep learning methods for solving traditional signal processing tasks has been steadily growing in the last years. Time delay estimation (TDE) in adverse scenarios is a challenging problem, where classical approaches based on generalized cross-correlations (GCCs) have been widely used for decades. Recently, the frequency-sliding GCC (FS-GCC) was proposed as a novel technique for TDE based on a sub-band analysis of the cross-power spectrum phase, providing a structured two-dimensional representation of the time delay information contained across different frequency bands. Inspired by deep-learning-based image denoising solutions, we propose in this paper the use of convolutio…

FOS: Computer and information sciencesSound (cs.SD)Computer sciencePhase (waves)Distributed microphones02 engineering and technologyConvolutional neural networkComputer Science - Sound030507 speech-language pathology & audiology03 medical and health sciencesAudio and Speech Processing (eess.AS)FOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringGCCRepresentation (mathematics)Signal processingbusiness.industryI.5.4Deep learningConvolutional Neural Networks020206 networking & telecommunicationsTime delay estimationMultilaterationI.2.094A12 68T10LocalizationArtificial intelligence0305 other medical sciencebusinessAlgorithmElectrical Engineering and Systems Science - Audio and Speech ProcessingI.2.0; I.5.4ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI

2015

Objectives: We develop a framework for the analysis of synergy and redundancy in the pattern of information flow between subsystems of a complex network. Methods: The presence of redundancy and/or synergy in multivariate time series data renders difficult to estimate the neat flow of information from each driver variable to a given target. We show that adopting an unnormalized definition of Granger causality one may put in evidence redundant multiplets of variables influencing the target by maximizing the total Granger causality to a given target, over all the possible partitions of the set of driving variables. Consequently we introduce a pairwise index of synergy which is zero when two in…

FOS: Computer and information sciencesgranger causality (GC)Multivariate statisticsComputer scienceRestComputer Science - Information TheoryBiomedical EngineeringsynergyFOS: Physical sciencescomputer.software_genre01 natural sciences03 medical and health sciences0302 clinical medicineGranger causality0103 physical sciencesConnectomeRedundancy (engineering)HumansBrain connectivityTime series010306 general physicsModels StatisticalHuman Connectome ProjectResting state fMRIredundancybusiness.industryInformation Theory (cs.IT)functional magnetic resonance imaging (fMRI)BrainPattern recognitionComplex networkMagnetic Resonance ImagingVariable (computer science)Physics - Data Analysis Statistics and ProbabilityQuantitative Biology - Neurons and CognitionFOS: Biological sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPairwise comparisonNeurons and Cognition (q-bio.NC)Artificial intelligenceData miningNerve Netbusinesscomputer030217 neurology & neurosurgeryData Analysis Statistics and Probability (physics.data-an)
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Estudio del biodeterioro en resinas alquídicas usadas como aglutinante en pinturas modernas mediante espectroscopía FTIR y pirólisis-cromatografía de…

2008

Evaluation of the alteration produced by microbiological attack on alkyd resins has been carried out by FTIR spectroscopy and Pyrolysis-Gas Chromatography/Mass Spectrometry (Py-GC/MS). The latter included the online derivatisation of alkyd resins using hexamethyldisilazane during pyrolysis. Specimens consisting of thin films of resins formed on glass slides were used. Analyses performed on the specimens in which different genera of bacteria and fungi were inoculated and allowed to grow, indicate that the attack of microorganisms encourages the scissioning of the polymeric resins and the appearance of short-chain fatty acids. IR bands ascribed to carboxylic acids appearing in samples from in…

FTIR spectroscopyResina alquídicasBiodeteriorationBinding mediaAlkyd resinBiodeterioroPy-GC-MSAglutinantes
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Contribution to the development of 100% bio-based composites : synthesis of bio-based polyepoxides, supercritical CO2 treatment of hemp fibers and im…

2018

This thesis contributes to the development of 100% bio-based hemp/epoxy composites. Current environmental issues favor the emergence of materials derived from renewable resources such as plant fibres and a wide range of bio-based building-blocks, source of epoxy prepolymers in particular. An intensive investigation of the two constituents (hemp fibres and polyepoxidic matrix) is carried out before the composites manufacturing. Supercritical CO2 treatment is applied to hemp fibres used as reinforcement in composite materials. This treatment, not optimized, leads to better individualization as well as a decrease in the hygroscopic power of the fibres. These aspects, which are essential in ord…

Fibres de chanvrePre-Treatment supercritical CO2Bio-Based polyepoxides thermosetsPolyépoxydes thermodurcissables bio-SourcésPropriétés mécaniquesMechanical properties[SPI.GCIV.EC] Engineering Sciences [physics]/Civil Engineering/Eco-conceptionPré-Traitement au CO2 supercritique[SPI.MAT] Engineering Sciences [physics]/MaterialsHemp fibres[SPI.MECA] Engineering Sciences [physics]/Mechanics [physics.med-ph]Composites
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Nanog Regulates Primordial Germ Cell Migration Through Cxcr4b

2010

Abstract Gonadal development in vertebrates depends on the early determination of primordial germ cells (PGCs) and their correct migration to the sites where the gonads develop. Several genes have been implicated in PGC specification and migration in vertebrates. Additionally, some of the genes associated with pluripotency, such as Oct4 and Nanog, are expressed in PGCs and gonads, suggesting a role for these genes in maintaining pluripotency of the germ lineage, which may be considered the only cell type that perpetually maintains stemness properties. Here, we report that medaka Nanog (Ol-Nanog) is expressed in the developing PGCs. Depletion of Ol-Nanog protein causes aberrant migration of …

Fish ProteinsHomeobox protein NANOGChromatin ImmunoprecipitationReceptors CXCR4endocrine systemCell typeGenotypeOryziasBiologyNanogCxcr4bOpen Reading FramesCell MovementAnimalsPromoter Regions Genetic3' Untranslated RegionsGeneIn Situ Hybridizationreproductive and urinary physiologyHomeodomain ProteinsRegulation of gene expressionMessenger RNABinding SitesReverse Transcriptase Polymerase Chain Reactionurogenital systemThree prime untranslated regionPGCGene Expression Regulation DevelopmentalCell BiologyImmunohistochemistryPhenotypeMolecular biologyChemokine CXCL12MedakaGerm CellsPhenotypeGene Knockdown Techniquesembryonic structuresMolecular Medicinebiological phenomena cell phenomena and immunityChromatin immunoprecipitationDevelopmental BiologyStem Cells
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Chemistry and functional properties in prevention of neurodegenerative disorders of five Cistus species essential oils.

2013

The chemical composition of Cistus creticus, Cistus salvifolius, Cistus libanotis, Cistus monspeliensis and Cistus villosus essential oils has been examined by GC and GC–MS analysis. Height-nine constituents were identified in C. salvifolius oil, sixty in C. creticus, fifty-six in C. libanotis, fifty-four in C. villosus, forty-five in C. monspeliensis. Although the five species belong to the same genus, the composition showed interesting differences. Essential oils were screened also for their potential antioxidant effects (by DPPH, ABTS, FRAP and b-carotene bleaching test) and their acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) inhibitory activity, useful for prevention and …

Fish ProteinsTunisiaDPPHCistuCistus libanotisToxicologyEssential oilAntioxidantslaw.inventionchemistry.chemical_compoundNutraceuticalAntioxidant activitylawCistusBotanyOils VolatileAnimalsGC–MSSettore BIO/15 - Biologia FarmaceuticaCistus monspeliensisHorsesEssential oilNootropic AgentsABTSbiologyTraditional medicineChemistryCistusSettore CHIM/06 - Chimica OrganicaGeneral MedicineFree Radical Scavengersbiology.organism_classificationFlavoring AgentsPlant LeavesCistus creticusNeuroprotective AgentsItalyButyrylcholinesteraseDietary SupplementsElectrophorusEthnopharmacologyAcetylcholinesteraseCholinesterase inhibitory activityCholinesterase InhibitorsMedicine TraditionalGC-MSFood ScienceFood and chemical toxicology : an international journal published for the British Industrial Biological Research Association
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Contribution to the development of natural fibers' use in structural composites. Study of a Flax / Epoxy composite’s behavior when exposed to hygroth…

2018

In recent years there is renewed interest for bio-sourced composites, including those based on flax fibers, and especially in the field of transport, mobility and leisure. In fact, the lower energy cost and environmental impact of flax fiber give it an advantage over glass fiber, while competing with its specific mechanical properties. However, flax fibers based composites long-term behavior remains poorly known in damp environments and constitutes an obstacle to a wider use. This work aims to provide adapted parameters to produce a high-grade flax/epoxy composite and to contribute to improve the durability knowledge of these materials. First, the influence of many processing parameters [(i…

Flax fibersAgeingComposite[SPI.GCIV.CD] Engineering Sciences [physics]/Civil Engineering/Construction durableManufacturing processFibres de linMise en oeuvre[SPI.MAT] Engineering Sciences [physics]/MaterialsVieillissement
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A New Systematic Series of Foil Sections with Parallel Sides

2020

Parallel-sided foil sections are used for centerboards and rudders in sailing dinghy classes and also for struts placed in a fluid flow. The objective of this work is to create a systematic series of parallel-sided sections to be used under different conditions, with an emphasis on the sailing dinghies 470, 420 and Optimist. The loss, and surprisingly the gain, in performance relative to 4-digit NACA sections are also investigated. A 2D Reynolds-averaged Navier&ndash

Flow (psychology)low Reynolds numberOcean EngineeringGeometry02 engineering and technology01 natural sciencesBézier curves010305 fluids & plasmascenterboardlcsh:Oceanographysymbols.namesakegamma transition criterionlcsh:VM1-989parallel-sided0103 physical sciencesFluid dynamicssailingTrailing edgeCADlcsh:GC1-1581Settore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeWater Science and TechnologyCivil and Structural EngineeringMathematicsBézier curveSeries (mathematics)Turbulencelcsh:Naval architecture. Shipbuilding. Marine engineeringReynolds numberRadiusRudder021001 nanoscience & nanotechnologyNACAsystematic investigationsymbols0210 nano-technologyJournal of Marine Science and Engineering
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