Search results for "recognition"

showing 10 items of 3607 documents

Affective matching of odors and facial expressions in infants: shifting patterns between 3 and 7 months.

2016

Recognition of emotional facial expressions is a crucial skill for adaptive behavior. Past research suggests that at 5 to 7 months of age, infants look longer to an unfamiliar dynamic angry/happy face which emotionally matches a vocal expression. This suggests that they can match stimulations of distinct modalities on their emotional content. In the present study, olfaction-vision matching abilities were assessed across different age groups (3, 5 and 7 months) using dynamic expressive faces (happy vs. disgusted) and distinct hedonic odor contexts (pleasant, unpleasant and control) in a visual-preference paradigm. At all ages the infants were biased toward the disgust faces. This visual bias…

'Happy' faceMalegenetic structuresbehaviors[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionCognitive Neurosciencemedia_common.quotation_subjectEmotions[ SCCO.PSYC ] Cognitive science/PsychologyContext (language use)Olfaction050105 experimental psychologyDevelopmental psychologyimitationautonomic responsesemotion recognitionDevelopmental and Educational PsychologyHumans0501 psychology and cognitive sciencesbookEye Movement MeasurementsComputingMilieux_MISCELLANEOUSmedia_commonAdaptive behaviorFacial expressionyounginfants05 social sciencesintermodal perceptionInfantnewborn-infants7-month-old infantsconfigural informationbook.written_workDisgustFacial ExpressionSmellOdorFace[SCCO.PSYC]Cognitive science/PsychologyOdorantsFemaleImitationPsychology[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition050104 developmental & child psychologydiscriminationDevelopmental science
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The impact of visual working memory capacity on the filtering efficiency of emotional face distractors.

2018

Emotional faces can serve as distractors for visual working memory (VWM) tasks. An event-related potential called contralateral delay activity (CDA) can measure the filtering efficiency of face distractors. Previous studies have investigated the influence of VWM capacity on filtering efficiency of simple neutral distractors but not of face distractors. We measured the CDA indicative of emotional face filtering during a VWM task related to facial identity. VWM capacity was measured in a separate colour change detection task, and participants were divided to high- and low-capacity groups. The high-capacity group was able to filter out distractors similarly irrespective of its facial emotion. …

'Happy' facevisual short-term memoryAdultMaleAdolescentmedia_common.quotation_subjectEmotionsmemory storagedistractor filteringfacial expressionsnäkömuistita3112050105 experimental psychologyTask (project management)03 medical and health sciencesYoung Adult0302 clinical medicineContrast (vision)Humans0501 psychology and cognitive sciencessustained posterior contralateral negativityVisual short-term memoryilmeetbookcontralateral delay activityEvoked Potentialsta515media_commonFacial expressionWorking memoryGeneral Neuroscience05 social sciencesbook.written_worktyömuistiNeuropsychology and Physiological PsychologyMemory Short-TermDelay DiscountingFace (geometry)FemalePsychologyFacial Recognition030217 neurology & neurosurgeryChange detectionCognitive psychologyBiological psychology
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Restricted compositions and permutations: from old to new Gray codes

2011

Any Gray code for a set of combinatorial objects defines a total order relation on this set: x is less than y if and only if y occurs after x in the Gray code list. Let @? denote the order relation induced by the classical Gray code for the product set (the natural extension of the Binary Reflected Gray Code to k-ary tuples). The restriction of @? to the set of compositions and bounded compositions gives known Gray codes for those sets. Here we show that @? restricted to the set of bounded compositions of an interval yields still a Gray code. An n-composition of an interval is an n-tuple of integers whose sum lies between two integers; and the set of bounded n-compositions of an interval si…

0102 computer and information sciences02 engineering and technologyInterval (mathematics)[ MATH.MATH-CO ] Mathematics [math]/Combinatorics [math.CO]01 natural sciencesTheoretical Computer ScienceCombinatoricsGray codePermutationsymbols.namesakeInteger020204 information systems[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]0202 electrical engineering electronic engineering information engineeringComputingMilieux_MISCELLANEOUSMathematicsDiscrete mathematicsExtension (predicate logic)Composition (combinatorics)Cartesian productComputer Science Applications010201 computation theory & mathematicsComputer Science::Computer Vision and Pattern RecognitionBounded functionSignal ProcessingsymbolsInformation Systems
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Promotion et Développement d'un Master Erasmus Mundus - L'Exemple du VIBOT

2011

Cet article decrit l’offre de formation a l’internationale proposee au Centre Universitaire Condorcet du Creusot (Universite de Bourgogne) dans le domaine de la vision par ordinateur et de la robotique. Il presente l’organisation particuliere de ces formations et les actions de support mises en place pour en assurer la perennite.

010201 computation theory & mathematics05 social sciences050301 education[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0102 computer and information sciences16. Peace & justice[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0503 education01 natural sciences
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A New Approach to Partial Discharge Detection Under DC Voltage: Application to Different Materials

2021

Usability of a new Direct Current Periodic waveform for partial discharge qualification in HVDC systems is exemplified by tests performed on different materials.

010302 applied physicsDC measurementsHVDCtesting methodbusiness.industryComputer sciencepattern recognitionDirect currentUsability01 natural sciencesElectronic Optical and Magnetic Materialspartial dischargeDc voltagedischarge phenomena0103 physical sciencesPattern recognition (psychology)Partial dischargeElectronic engineeringWaveformElectrical and Electronic EngineeringbusinessIEEE Electrical Insulation Magazine
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Early detection and classification of bearing faults using support vector machine algorithm

2017

Bearings are one of the most critical elements in rotating machinery systems. Bearing faults are the main reason for failures in electrical motors and generators. Therefore, early bearing fault detection is very important to prevent critical system failures in the industry. In this paper, the support vector machine algorithm is used for early detection and classification of bearing faults. Both time and frequency domain features are used for training the support vector machine learning algorithm. The trained classier can be employed for real-time bearing fault detection and classification. By using the proposed method, the bearing faults can be detected at early stages, and the machine oper…

010302 applied physicsElectric motorEngineeringBearing (mechanical)business.industry020208 electrical & electronic engineeringFeature extractionPattern recognition02 engineering and technology01 natural sciencesFault detection and isolationlaw.inventionSupport vector machineStatistical classificationlawFrequency domain0103 physical sciences0202 electrical engineering electronic engineering information engineeringArtificial intelligencebusinessTest data2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
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Mass calibration of the energy axis in ToF- E elastic recoil detection analysis

2016

We report on procedures that we have developed to mass-calibrate the energy axis of ToF-E histograms in elastic recoil detection analysis. The obtained calibration parameters allow one to transform the ToF-E histogram into a calibrated ToF-M histogram.

010302 applied physicsPhysicsNuclear and High Energy Physicsta114Physics::Instrumentation and DetectorsPhysics::Medical PhysicsAstrophysics::Instrumentation and Methods for AstrophysicsERD02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesNuclear physicsElastic recoil detectionComputer Science::Computer Vision and Pattern RecognitionHistogramelastic recoil detection analysis0103 physical sciencesCalibrationmass calibrationToF-ENuclear Experiment0210 nano-technologyInstrumentationEnergy (signal processing)Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Data-driven Fault Diagnosis of Induction Motors Using a Stacked Autoencoder Network

2019

Current signatures from an induction motor are normally used to detect anomalies in the condition of the motor based on signal processing techniques. However, false alarms might occur if using signal processing analysis alone since missing frequencies associated with faults in spectral analyses does not guarantee that a motor is fully healthy. To enhance fault diagnosis performance, this paper proposes a machinelearning based method using in-built motor currents to detect common faults in induction motors, namely inter-turn stator winding-, bearing- and broken rotor bar faults. This approach utilizes single-phase current data, being pre-processed using Welch’s method for spectral density es…

010302 applied physicsSignal processingbusiness.industryRotor (electric)Computer science020208 electrical & electronic engineeringSpectral density estimationPattern recognition02 engineering and technologyFault (power engineering)01 natural sciencesAutoencoderlaw.inventionSupport vector machineStatistical classificationlaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringArtificial intelligencebusinessInduction motor2019 22nd International Conference on Electrical Machines and Systems (ICEMS)
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Towards Open Domain Chatbots—A GRU Architecture for Data Driven Conversations

2018

Understanding of textual content, such as topic and intent recognition, is a critical part of chatbots, allowing the chatbot to provide relevant responses. Although successful in several narrow domains, the potential diversity of content in broader and more open domains renders traditional pattern recognition techniques inaccurate. In this paper, we propose a novel deep learning architecture for content recognition that consists of multiple levels of gated recurrent units (GRUs). The architecture is designed to capture complex sentence structure at multiple levels of abstraction, seeking content recognition for very wide domains, through a distributed scalable representation of content. To …

010302 applied physicsStructure (mathematical logic)Service (systems architecture)Computer sciencebusiness.industryDeep learning02 engineering and technologycomputer.software_genre01 natural sciencesChatbotNaive Bayes classifier020204 information systems0103 physical sciencesPattern recognition (psychology)0202 electrical engineering electronic engineering information engineeringArtificial intelligenceArchitecturebusinesscomputerNatural language processingSentence
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2,4,5-Triaryl imidazole probes for the selective chromo-fluorogenic detection of Cu(II). Prospective use of the Cu(II) complexes for the optical reco…

2019

The sensing behaviour toward metal cations and biothiols of two 2,4,5-triarylimidazole probes (3a and 3b) is tested in acetonitrile and in acetonitrile-water. In acetonitrile the two probes present charge-transfer absorption bands in the 320-350 nm interval. Among all cations tested only Cu(11) is able to induce bathochromic shifts of the absorption band in the two probes, which is reflected in marked colour changes. Colour modulations are ascribed to the formation of 1:1 Cu(II)-probe complexes in which the cation interacts with the imidazole acceptor heterocycle. Besides, the two probes present intense emission bands (at 404 and 437 nm for 3a and 3b respectively) in acetonitrile that are q…

010402 general chemistryPhotochemistryCu(II) detection01 natural sciencesCu(II) imagingInorganic ChemistryMetalchemistry.chemical_compoundBathochromic shiftMaterials ChemistryImidazolePhysical and Theoretical ChemistryAcetonitrileImidazole-based probesAqueous solutionScience & Technology010405 organic chemistryGSH imagingAcceptor0104 chemical sciences3. Good healthchemistryAbsorption bandvisual_artvisual_art.visual_art_mediumHypsochromic shiftBiothiols recognition
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