Search results for "Sensor"

showing 10 items of 4594 documents

eISP: a Programmable Processing Architecture for Smart Phone Image Enhancement

2009

4 pages; Today's smart phones, with their embedded high-resolution video sensors, require computing capacities that are too high to easily meet stringent silicon area and power consumption requirements (some one and a half square millimeters and half a watt) especially when programmable components are used. To develop such capacities, integrators still rely on dedicated low resolution video processing components, whose drawback is low flexibility. With this in mind, our paper presents eISP {--} a new, fully programmable Embedded Image Signal Processor architecture, now validated in {TSMC 65nm} technology to achieve a capacity of {16.8 GOPs} at {233 MHz}, for {1.5 mm$^2$} of silicon area and…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processinglow power[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingCMOSdemosaïcking[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingeISPmm²SIMDimage processingvideo pipesmall siliconMulti-SIMDcomputing tilemilliwatt[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingsensordemosaicingTSMC 65nm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Analytical comparison and sensory representativity of SAFE, SPME, and Purge and Trap extracts of volatile compounds from pea flour

2012

Pisum sativum is of great economic and nutritional interest due to its protein content. Nevertheless, pea products are underused as a protein source in human food because of their strong beany flavour. Therefore, the objective of this study was to select an efficient and representative method to extract volatile molecules of pea flour. In the first step, three extraction methods were chosen: solid phase micro extraction (SPME); Purge and Trap extraction and solvent assisted flavour evaporation (SAFE). The corresponding extracts were analysed by gas chromatography coupled with mass spectrometry. In the second step, the sensory representativity of the extracts was assessed either by direct ga…

[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionFlourFlavourChemical FractionationMass spectrometry01 natural sciencesGas Chromatography-Mass SpectrometryAnalytical ChemistryPurge and trapsafe0404 agricultural biotechnologyHumansSolid Phase Micro Extractiondirect gas chromatography-olfactometrypisum sativum2. Zero hungerVolatile Organic CompoundsChromatographyChemistrySolid Phase Extraction010401 analytical chemistryExtraction (chemistry)Peas04 agricultural and veterinary sciencesGeneral Medicine040401 food science0104 chemical sciencessensory representativitySolventpurge and trapTastespmeGas chromatographyGas chromatography–mass spectrometry[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood ScienceFood Chemistry
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Circulating markers of retinal and optic nerve lipids

2013

Purpose Blood lipids are frequently used as a surrogate of lipid composition of peripheral tissues. Even if it is well accepted, such a relationship has never been clearly demonstrated for the eye. The aim of this study was to determine in human samples whether a lipidomic approach based on red blood cells could reveal associations between circulating and ocular lipid profiles. Methods Red blood cells, retinas and optic nerves were collected from 9 human donors. The lipidomic analyses on these tissues were done by both, gas chromatography and liquid chromatography coupled to an electrospray ionization source-mass spectrometer (LC-ESI-MS/MS). Results Gas chromatographic approach did not show…

[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionclinical trialcell583 lipidseye diseasesessai clinique[SDV.AEN] Life Sciences [q-bio]/Food and Nutritiontest de laboratoire[SDV.MHEP.OS] Life Sciences [q-bio]/Human health and pathology/Sensory Organslipid467 clinical laboratory testing[ SDV.MHEP.OS ] Life Sciences [q-bio]/Human health and pathology/Sensory Organslipids (amino acids peptides and proteins)degénération rétiniennecellule[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition695 retinal degenerations: cell biologylipide
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Olfactory sensory neurons plasticity induced by postnatal odorant exposure

2012

Olfactory sensory neurons plasticity induced by postnatal odorant exposure. 16. International symposium on olfaction and taste (ISOT)

[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritioneducationneurone sensoriel olfactifodeur alimentairehumanitiespost natal[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC][SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC][SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]exposition sensorielle[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionreproductive and urinary physiologyhealth care economics and organizations
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An original approach for gas chromatography-olfactometry detection frequency analysis: Application to gin

2012

Abstract Gas Chromatography-Olfactometry (GC-O) is a technique that lies halfway between physicochemical and sensory analysis and involves the perception of volatile flavour compounds, separated by gas chromatography, by the human nose. Of the different GC-O procedures available, detection frequency has been proved to be more rapid and more repeatable, even with an untrained panel. This characteristic regarding the panel is often not considered when dealing with the sensory attributes determined by assessors. An original approach to GC-O using the detection frequency procedure has been developed and tested on two types of gin and made it possible to benefit from sensory data. The panel cons…

[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionginkey aroma compound01 natural sciencesSensory analysissensory analysisHuman nose0404 agricultural biotechnologyFrequency detectionOlfactometryparasitic diseasesmedicineChromatographyChemistrybusiness.industry010401 analytical chemistryPattern recognition04 agricultural and veterinary sciences040401 food science0104 chemical sciencesHighly sensitivemedicine.anatomical_structurearomaHomogeneousgas chromatography-olfactometryKovats retention indexArtificial intelligenceGas chromatographybusinessdetection frequency[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionpsychological phenomena and processesFood Science
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Fatty-acid preference changes during development in Drosophila melanogaster.

2011

WOS:000296521400044; International audience; Fatty-acids (FAs) are required in the diet of many animals throughout their life. However, the mechanisms involved in the perception of and preferences for dietary saturated and unsaturated FAs (SFAs and UFAs, respectively) remain poorly explored, especially in insects. Using the model species Drosophila melanogaster, we measured the responses of wild-type larvae and adults to pure SFAs (14, 16, and 18 carbons) and UFAs (C18 with 1, 2, or 3 double-bonds). Individual and group behavioral tests revealed different preferences in larvae and adults. Larvae preferred UFAs whereas SFAs tended to induce both a strong aversion and a persistent aggregation…

[ SDV.BA.ZI ] Life Sciences [q-bio]/Animal biology/Invertebrate Zoology[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionlcsh:MedicineInsectMESH : Behavior AnimalBiochemistrychemistry.chemical_compoundBehavioral EcologyMESH : Drosophila melanogasterMESH: Behavior AnimalMESH: AnimalsPalatabilitylcsh:ScienceMESH : Fatty Acidsmedia_commonchemistry.chemical_classificationLarvaMultidisciplinaryMESH : Food PreferencesEcologyAnimal BehaviorBehavior AnimalEcologyMESH : Fatty Acids UnsaturatedDrosophila MelanogasterFatty AcidsAge FactorsAnimal ModelsNeuroethologyMESH: Fatty Acids UnsaturatedtrpLipidsPreferenceMESH: Fatty AcidsMESH: Dietary FatsSex pheromoneLarvadietary fatFatty Acids Unsaturatedtaste receptor cellSensory PerceptionDrosophila melanogasterResearch Articlelinoleic acidmedia_common.quotation_subjectLinoleic acidZoologylarvaeBiologyMESH: Drosophila melanogasterFood PreferencesModel OrganismslipidAnimalsMESH: Food PreferencesBiologyMESH: Age FactorsEvolutionary BiologyChemical EcologyMESH : Larvalcsh:RfungiFatty acidbiology.organism_classificationDietary Fatstaste receptor cell;dietary fat;aggregation pheromone;linoleic acid;larvae;lipid;trp;palatability;metabolism;mutation[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoologychemistrypalatabilitylcsh:QMESH : Age FactorsMESH : AnimalsmutationmetabolismMESH: Larva[SDV.AEN]Life Sciences [q-bio]/Food and NutritionMESH : Dietary FatsNeuroscienceaggregation pheromone
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Modelage périnatal et fonctions adaptatives des attentes sensorielles du nouveau-né et du jeune enfant

2010

[ SDV.NEU.PC ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behaviorsensorialitéenfant[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionnouveau-né
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3D part inspection path planning of a laser scanner with control on the uncertainty

2011

International audience; This article concerns the measurement process of mechanical parts using laser scanners. From the point of view of industrial applications, the objective is to guarantee the measurement accuracy during the scanning with regard to the geometrical product specifications. The proposed method can be summarized as follow: the first step consists of analyzing the interval of tolerance for the different specifications and to attribute to every geometrical entity a maximal uncertainty of measurement. This uncertainty depends on the angle of incidence between the laser plane and the scanned surface. In the second step, an approach based on the concept of visibility is used fro…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyEngineeringLaser scanningPoint cloud[PHYS.MECA.GEME]Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]02 engineering and technologyInterval (mathematics)01 natural sciencesIndustrial and Manufacturing Engineeringthree-dimensional inspectionlaser sensor010309 optics020901 industrial engineering & automation0103 physical sciencesComputer visionPoint (geometry)Motion planninguncertainties of measurementbusiness.industryscanning pathVisibility (geometry)visibilityComputer Graphics and Computer-Aided DesignComputer Science ApplicationsMetrology[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph][ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]Measurement uncertaintyArtificial intelligencebusiness
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Parameters analysis influencing 3D measurement without contact by laser scanner to establish a local correction procedure

2007

International audience; The techniques of measuring without contact by laser scanning allows acquisition of a large number of points, at a very high rate speed ; nevertheless with less precision than the one obtained by classical techniques of measuring with contact. We present in this article the research and the experimental analysis of the influential parameters on the precision of the measure by laser sensor without contact. Firstly, a methodology of correction of the relative uncertainties in the conditions of the measuring laser is presented. Then, we apply it to a typical part and compare the results to those obtained by a classical procedure of measuring with a contact sensor. We fi…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]3D MetrologySensor without contactMeasuring uncertaintiesCorrection procedure[PHYS.MECA.GEME] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph][ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph][SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]
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Path Planning in Inspection Process of 3-D Parts Used the Visibility Technique

2006

International audience; In this paper presents a new method for digitalization of parts with non-contact sensor remains nevertheless complex. It is not completely solved today, in particular from a metrological point of view. In this article, we consider the determination of the trajectory planning within the framework of the control of dimensional and geometrical specifications. The sensor used in this application is a laser planner scanner with CCD camera oriented and moved by a CMM. Thus, we seek to determine which are the best possible orientations of the sensor with respect to the geometrical specifications of the measured part, giving the admissible measurement uncertainties. The deve…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]geometrical specifications[PHYS.MECA.GEME] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph][ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph][SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]uncertaintieslaser sensorthree-dimensional inspection
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