Search results for " classification"

showing 10 items of 1043 documents

Exploring relationships between audio features and emotion in music

2009

In this paper, we present an analysis of the associations between emotion categories and audio features automatically extracted from raw audio data. This work is based on 110 excerpts from film soundtracks evaluated by 116 listeners. This data is annotated with 5 basic emotions (fear, anger, happiness, sadness, tenderness) on a 7 points scale. Exploiting state-of-the-art Music Information Retrieval (MIR) techniques, we extract audio features of different kind: timbral, rhythmic and tonal. Among others we also compute estimations of dissonance, mode, onset rate and loudness. We study statistical relations between audio descriptors and emotion categories confirming results from psychological …

Emotion classificationmedia_common.quotation_subjectSpeech recognitionAngerLoudnessSadnessBehavioral NeurosciencePsychiatry and Mental healthRaw audio formatMode (music)Neuropsychology and Physiological PsychologyNeurologyHappinessMusic information retrievalPsychologyBiological Psychiatrymedia_commonFrontiers in Human Neuroscience
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First impression misleads emotion recognition

2019

Recognition of others' emotions is a key life ability that guides one's own choices and behavior, and it hinges on the recognition of others' facial cues. Independent studies indicate that facial appearance-based evaluations affect social behavior, but little is known about how facial appearance-based trustworthiness evaluations influence the recognition of specific emotions. We tested the hypothesis that first impressions based on facial appearance affect the recognition of basic emotions. A total of 150 participants completed a dynamic emotion recognition task. In a within-subjects design, the participants viewed videos of individuals with trustworthy-looking, neutral, or untrustworthy-lo…

Emotion classificationmedia_common.quotation_subjectlcsh:BF1-990ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAngerAffect (psychology)050105 experimental psychologysocial behavior03 medical and health sciences0302 clinical medicineemotion recognitionPsychology0501 psychology and cognitive sciencesEmotional expressionFirst impression (psychology)GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)General PsychologyOriginal Researchmedia_commonSocial perception05 social sciencessocial perceptiontrustworthinessSadnesslcsh:PsychologyHappinessPsychologyinterpersonal interaction030217 neurology & neurosurgeryCognitive psychology
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Ensemble of Hankel Matrices for Face Emotion Recognition

2015

In this paper, a face emotion is considered as the result of the composition of multiple concurrent signals, each corresponding to the movements of a specific facial muscle. These concurrent signals are represented by means of a set of multi-scale appearance features that might be correlated with one or more concurrent signals. The extraction of these appearance features from a sequence of face images yields to a set of time series. This paper proposes to use the dynamics regulating each appearance feature time series to recognize among different face emotions. To this purpose, an ensemble of Hankel matrices corresponding to the extracted time series is used for emotion classification withi…

EmotionLTI systemSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMajority ruleComputer sciencebusiness.industrySpeech recognitionEmotion classificationComputer Science (all)Hankel matrixPattern recognitionClassificationTheoretical Computer Sciencek-nearest neighbors algorithmSchema (psychology)Face processingArtificial intelligenceEmotion recognitionbusinessHankel matrix
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Quality management in the public sector accounting department - (un)avoidable quality costs and unlikely financial impacts

2017

This paper investigates the nature of quality costs and the likelihood of their having financial impacts in the public sector. An illustrative quality development case project in an accounting department of a Finnish city administration is presented. The empirical data includes answers to a qualitative project question sheet, workshop material and participative observation. Quality problems are classified according to their quality cost category and the extent to which they are avoidable. Some of the quality costs proved unavoidable and some are likely to lack financial impact, exhibiting sticky cost behaviour. The study indicates that certain prevention and appraisal costs in the public se…

Empirical dataQuality managementmedia_common.quotation_subjecttoimintatutkimus0211 other engineering and technologiesAccounting02 engineering and technologyQuality developmentcase studytapaustutkimuscost classification0502 economics and businessQuality (business)Action researchta512media_commonFinance021103 operations researchFinancial impactbusiness.industrypublic sectorcost stickiness05 social sciencesPublic sectorkustannustehokkuuslaatuGeneral Medicinejulkinen sektoriaction researchqualityBusinessQuality costs050203 business & managementInternational Journal of Accounting and Finance
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Inequalities in mortality in small areas of eleven Spanish cities (the multicenter MEDEA project)

2009

The objectives of this study are to identify inequalities in mortality among census tracts of 11 Spanish cities in the period 1996-2003 and to analyse the relationship between these geographical inequalities and socioeconomic deprivation. It is a cross-sectional ecological study where the units of analysis are census tracts. We obtained an index of socioeconomic deprivation and estimated SMR by each census tract using hierarchical Bayesian models which take into account the spatial structure. In the majority of the cities geographical patterns in total mortality were found in both sexes, which were similar to those for the index of socioeconomic deprivation. Among men, four specific causes …

EmploymentMaleHealth (social science)InequalityCross-sectional studymedia_common.quotation_subjectGeography Planning and DevelopmentAge DistributionInternational Classification of DiseasesResidence CharacteristicsCause of DeathPoverty AreasHumansRegistriesMortalitySex DistributionSocioeconomic statusSmall-Area Analysismedia_commonCause of deathAnalysis of VariancePrincipal Component AnalysisUrban HealthPublic Health Environmental and Occupational HealthEcological studyHealth Status DisparitiesCensusCross-Sectional StudiesGeographySocioeconomic FactorsSpainPopulation SurveillanceSmall-Area AnalysisEducational StatusRegression AnalysisFemaleGeographical inequalitiesDemographyHealth & Place
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ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority number

2017

Proposing an ELECTRE TRI-based approach for the failure modes classification into predefined and ordered risk classes.Direct identification of failure modes on which performing the corrective actions with priority.Easy definition of risk classes on the basis of DMs expertise and perception of the industrial context considered.Application to dairy manufacturing processes. Failure Mode and Effects Analysis (FMEA) is an engineering technique aimed at the detection of potential failures, their causes and consequences on the system/process under investigation. When used for the failure modes prioritization, FMEA is also referred to as Failure Mode, Effects and Criticality Analysis (FMECA). In tr…

Engineering021103 operations researchGeneral Computer Sciencebusiness.industryProcess (engineering)0211 other engineering and technologiesGeneral EngineeringSpecific riskContext (language use)02 engineering and technologyMultiple-criteria decision analysisReliability engineeringFailure mode effects and criticality analysisFailure modes classificationSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingELECTRE TRISensitivity (control systems)ELECTREbusinessFailure mode and effects analysisFMECA
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Towards online bearing fault detection using envelope analysis of vibration signal and decision tree classification algorithm

2017

Online bearing fault detection is an important method for monitoring the health status of bearings in critical machines. This work proposes a classification algorithm, which can be extended towards an online bearing fault detection. The objective is to detect and classify the bearing faults in early stages. The overall design aspects of the online bearing fault detection and classification system are discussed. The proposed method is validated using experimental data, and a high accuracy of the fault classification was observed. Therefore, the proposed method can be applied for an online early fault detection and classification system.

EngineeringBearing (mechanical)business.industry020208 electrical & electronic engineeringSIGNAL (programming language)Decision treePattern recognition02 engineering and technologyFault (power engineering)01 natural sciencesFault detection and isolationlaw.inventionStatistical classificationlaw0103 physical sciencesFault coverage0202 electrical engineering electronic engineering information engineeringArtificial intelligencebusiness010301 acousticsAlgorithmEnvelope (motion)2017 20th International Conference on Electrical Machines and Systems (ICEMS)
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History and Environmental Impact of Mining Activity in Celtic Aeduan Territory Recorded in a Peat Bog (Morvan, France)

2003

The present study aims to document historical mining and smelting activities by means of geochemical and pollen analyses performed in a peat bog core collected around the Bibracte oppidum (Morvan, France), the largest settlement of the great Aeduan Celtic tribe (ca. 180 B.C. to 25 A.D.). The anthropogenic Pb profile indicates local mining operations starting from the Late Bronze Age, ca. cal. 1300 B.C. Lead inputs peaked at the height of Aeduan civilization and then decreased after the Roman conquest of Gaul, when the site was abandoned. Other phases of mining are recognized from the 11th century to modern times. They have all led to modifications in plant cover, probably related in part to…

EngineeringCeltic languagesPeatPopulation DynamicsHistory 18th CenturyMiningTreesHistory 17th CenturySoilBronze AgeHumansSoil PollutantsEnvironmental ChemistryHistory AncientHoloceneHistory 15th Centurybusiness.industryForestryGeneral ChemistryArchaeologyMineral resource classificationHistory MedievalArchaeologyLeadHistory 16th CenturyPaleobotanyPollenPlant coverFranceEnvironmental PollutionbusinessEnvironmental MonitoringEnvironmental impact of miningEnvironmental Science & Technology
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Influence of the channel design on the heat and mass exchange of induction channel furnace

2011

PurposeThe purpose of this paper is to present in‐depth numerical modelling of heat and mass exchange in industrial induction channel furnace (ICF).Design/methodology/approachThe turbulent heat and mass exchange in the melt is calculated using a three‐dimensional (3D) electromagnetic model and a 3D transient large eddy simulation method. The simulation model has been verified by flow velocity and temperature measurements, which were carried out using an industrial sized channel inductor operating with Wood's metal as a low temperature model melt.FindingsThe ICF is well‐established for melting, holding and casting in the metallurgical industry. But there are still open questions regarding th…

EngineeringElectromagnetic modelsLarge Eddy simulation methodsChannel geometryHeat and mass transferDewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und MaschinenbauMechanical engineeringInductorTemperature measurementModellingMetallurgical industryChannel designExperimentWood's metalMass transferLow temperaturesIndustryMass transferWood's metalElectrical and Electronic Engineeringddc:510Low frequency oscillationsMass exchangeTemperature measurementbusiness.industryApplied MathematicsThree dimensionalFurnaceMechanicsDesign/methodology/approachDewey Decimal Classification::500 | Naturwissenschaften::510 | MathematikComputer Science ApplicationsComputational Theory and MathematicsFlow velocityThree-dimensional (3D)Casting (metalworking)Numerical modellingMetallurgySimulation modelddc:620businessSimulationCommunication channelLarge eddy simulationNumerical analysis
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Vibration analysis for bearing fault detection and classification using an intelligent filter

2014

Abstract This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect bearing defects of induction motors. In this method, the vibration signal passes through removing non-bearing fault component (RNFC) filter, designed by neural networks, in order to remove its non-bearing fault components, and then enters the second neural network that uses pattern recognition techniques for fault classification. Four different categories include; healthy, inner race defect, outer race defect, and double holes in outer race are investigated. Compared to the regular fault detection methods that use frequency-domain features, the proposed method is based on analyzing time-d…

EngineeringFault (power engineering)SignalFault detection and isolationlaw.inventionVibration signallawElectronic engineeringElectrical and Electronic EngineeringFault classificationBearing (mechanical)Artificial neural networkbusiness.industryMechanical EngineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionPattern recognitionFilter (signal processing)Neural networkComputer Science ApplicationsFault indicatorStuck-at faultControl and Systems EngineeringBearingArtificial intelligenceBearing; Fault classification; Fault detection; Neural network; Vibration signal; Mechanical Engineering; Electrical and Electronic Engineering; Computer Science Applications1707 Computer Vision and Pattern RecognitionbusinessFault detectionhuman activitiesMechatronics
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