Search results for "Intelligence"

showing 10 items of 6959 documents

Effects of emotional intelligence on entrepreneurial intention and self-efficacy

2014

Estudios previos relacionan la inteligencia emocional con resultados positivos en el puesto de trabajo, tales como el desempeño y la satisfacción laboral. Sin embargo, la relación entre la inteligencia emocional y las diferencias individuales en emprendimiento han sido escasamente examinadas. En el presente estudio se analiza el efecto de las dimensiones de la inteligencia emocional sobre el potencial emprendedor, tras controlar la influencia de los rasgos de personalidad y variables demográficas. Concretamente, con una muestra de 394 participantes, por medio de análisis de regresión jerárquica, se pone a prueba el rol mediador de la auto-eficacia emprendedora en la relación entre las dimen…

Auto-eficacia emprendedoraSelf-efficacyIntención emprendedoraOrganizational Behavior and Human Resource ManagementEntrepreneurshipEntrepreneurial intentionEntrepreneurial self-efficacySocial PsychologyEmotional intelligencelcsh:BF1-990Rasgos de personalidadAffect (psychology)Developmental psychologylcsh:PsychologyEmotional intelligenceJob performanceJob satisfactionPersonality traitsBig Five personality traitsPsychologyEmotional exhaustionSocial psychologyInteligencia emocionalJournal of Work and Organizational Psychology
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LogDet divergence-based metric learning with triplet constraints and its applications.

2014

How to select and weigh features has always been a difficult problem in many image processing and pattern recognition applications. A data-dependent distance measure can address this problem to a certain extent, and therefore an accurate and efficient metric learning becomes necessary. In this paper, we propose a LogDet divergence-based metric learning with triplet constraints (LDMLT) approach, which can learn Mahalanobis distance metric accurately and efficiently. First of all, we demonstrate the good properties of triplet constraints and apply it in LogDet divergence-based metric learning model. Then, to deal with high-dimensional data, we apply a compressed representation method to learn…

AutomatedData InterpretationBiometryFeature extractionhigh dimensional datametric learningPattern RecognitionFacial recognition systemSensitivity and SpecificityMatrix decompositionPattern Recognition Automatedcompressed representationComputer-AssistedArtificial Intelligencecompressed representation; high dimensional data; LogDet divergence; metric learning; triplet constraint; Artificial Intelligence; Biometry; Data Interpretation Statistical; Face; Humans; Image Enhancement; Image Interpretation Computer-Assisted; Pattern Recognition Automated; Photography; Reproducibility of Results; Sensitivity and Specificity; Algorithms; Facial Expression; Software; Medicine (all); Computer Graphics and Computer-Aided DesignImage Interpretation Computer-AssistedPhotographyHumansDivergence (statistics)Image retrievalImage InterpretationMathematicsMahalanobis distancebusiness.industryLogDet divergenceMedicine (all)Reproducibility of ResultsPattern recognitionStatisticalImage EnhancementComputer Graphics and Computer-Aided DesignFacial ExpressionComputingMethodologies_PATTERNRECOGNITIONComputer Science::Computer Vision and Pattern RecognitionData Interpretation StatisticalFaceMetric (mathematics)Pattern recognition (psychology)Artificial intelligencetriplet constraintbusinessSoftwareAlgorithmsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Mathematical Methods in Image Processing and Computer Vision

2016

Image processing and computer vision are growing research fields that take advantage of the increasing power or modern computers linked with sophisticated techniques coming from many fields of expertise and in particular from mathematics. We present an introduction to some problems in computer vision and image processing and to some mathematical techniques and concepts that are nowadays routinely used to approach them.

Automatic image annotationbusiness.industryHuman visual system model3D reconstructionDigital image processingComputer vision and image processingComputer visionImage processingArtificial intelligenceImage analysisImage-based modeling and renderingbusiness
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Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications

2020

Vehicle platoons involve groups of vehicles travelling together at a constant inter-vehicle distance, with different common benefits such as increasing road efficiency and fuel saving. Vehicle platooning requires highly reliable wireless communications to keep the group structure and carry out coordinated maneuvers in a safe manner. Focusing on infrastructure-assisted cellular vehicle to anything (V2X) communications, the amount of control information to be exchanged between each platoon vehicle and the base station is a critical factor affecting the communication latency. This paper exploits the particular structure and characteristics of platooning to decrease the control information exch…

Automobile DrivingComputer scienceReal-time computingvehicular communications02 engineering and technologylcsh:Chemical technologyradio environment mapsBiochemistryArticleAnalytical ChemistryElectrònica0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationIntelligent transportation systemComunicació i tecnologiaSpatial AnalysisCommunicationintelligent transportation systems020206 networking & telecommunicationsModels Theoreticalchannel acquisitionAtomic and Molecular Physics and OpticsKrigingVehicle platooning020201 artificial intelligence & image processingPlatoonspatial interpolation5GReflection mapping5GSensors
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Detection of steering direction using EEG recordings based on sample entropy and time-frequency analysis.

2016

Monitoring driver's intentions beforehand is an ambitious aim, which will bring a huge impact on the society by preventing traffic accidents. Hence, in this preliminary study we recorded high resolution electroencephalography (EEG) from 5 subjects while driving a car under real conditions along with an accelerometer which detects the onset of steering. Two sensor-level analyses, sample entropy and time-frequency analysis, have been implemented to observe the dynamics before the onset of steering. Thus, in order to classify the steering direction we applied a machine learning algorithm consisting of: dimensionality reduction and classification using principal-component-analysis (PCA) and sup…

Automobile DrivingSupport Vector MachineComputer scienceSpeech recognitionEntropyElectroencephalography03 medical and health sciencesEntropy (classical thermodynamics)0302 clinical medicine0502 economics and businessAccelerometrymedicineEntropy (information theory)HumansEntropy (energy dispersal)Entropy (arrow of time)050210 logistics & transportationPrincipal Component Analysismedicine.diagnostic_testbusiness.industryEntropy (statistical thermodynamics)Dimensionality reduction05 social sciencesPattern recognitionElectroencephalographyTime–frequency analysisSupport vector machineSample entropyPrincipal component analysisArtificial intelligencebusiness030217 neurology & neurosurgeryAlgorithmsEntropy (order and disorder)Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Prey-predator strategies in a multiagent system

2006

This paper describes the prey-predator multiagent system which can be considered as an abstraction of more complex real-world models. Both the prey and the predators are considered as autonomous agents with their own behaviors and perception of the environment. In particular, we propose a simulator which lets study different strategies such as cooperation and individualism. An extensive experiment has been carried out in order to prove the effectiveness of the latter.

Autonomous agentLarge scale systemSettore INF/01 - InformaticaComputer sciencebusiness.industrymedia_common.quotation_subjectMulti-agent systemAutonomous agentReal-world systemcomputer.software_genreComputingMethodologies_ARTIFICIALINTELLIGENCEAgent-based social simulationPredationIntelligent agentPerceptionPrey-predator strategiePrey predatorArtificial intelligencebusinesscomputerMulti agent systemsmedia_commonAbstraction (linguistics)
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Quality of Life and Job Loss during the COVID-19 Pandemic: Mediation by Hopelessness and Moderation by Trait Emotional Intelligence

2022

This study contributes to the knowledge on the effects of the COVID-19 pandemic by examining a moderated mediation model in which the impact of job loss over quality of life (QoL) is mediated by hopelessness and moderated by trait emotional intelligence (trait EI). Data were collected from a large nationally representative Italian sample of adult workers (N = 1610), who completed a series of anonymous online questionnaires. Total, direct and indirect effects were estimated through bootstrapped mediated moderation analyses providing 95% bias corrected bootstrap confidence intervals. After controlling for the effects of gender and age range, job loss was found to be negatively associated with…

BHSAdultJob lossSARS-CoV-2Health Toxicology and MutagenesisPublic Health Environmental and Occupational HealthCOVID-19 pandemicCOVID-19job lohumanitiesTEIQueWHOQOLhopelessnetrait emotional intelligenceQuality of LifeHopelessnessHumansPandemicsCOVID-19 pandemic; quality of life; trait emotional intelligence; hopelessness; job loss; TEIQue; WHOQOL; BHSEmotional IntelligenceInternational Journal of Environmental Research and Public Health
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Properties and roles of BKCa channels in cultured cerebellar granule neuron: Experimental and simulation studies

2006

We studied the properties and roles of large-conductance calcium-sensitive potassium channels (BK"C"a) in cultured rat cerebellar granule neurons. In intact cells these channels had chord conductances of 130-200pS. The conductance, threshold for channel activation and the mean open time and open probability depend on the age of cells. In computer simulations the elimination of BK"C"a channel decreases the maximum and minimum peak values of an action potential, causes reduced hyperpolarization and increases firing frequency. The observed alterations may be linked to the complexity of granule neuron excitability during maturation and provide new insight into modeling the developmental changes…

BK channelCerebellumbiologyChemistryCognitive NeuroscienceGranule (cell biology)ConductancePotassium channelComputer Science ApplicationsGranular cellBkca channelmedicine.anatomical_structureArtificial Intelligencebiology.proteinmedicineBiophysicsPatch clampNeurocomputing
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Is our brain hardwired to produce God, or is our brain hardwired to perceive God? A systematic review on the role of the brain in mediating religious…

2009

To figure out whether the main empirical question "Is our brain hardwired to believe in and produce God, or is our brain hardwired to perceive and experience God?" is answered, this paper presents systematic critical review of the positions, arguments and controversies of each side of the neuroscientific–theological debate and puts forward an integral view where the human is seen as a psycho-somatic entity consisting of the multiple levels and dimensions of human existence (physical, biological, psychological, and spiritual reality), allowing consciousness/ mind/spirit and brain/body/matter to be seen as different sides of the same phenomenon, neither reducible to each other. The emergence …

BQ BuddhismBP IslamBF PsychologyConsciousnessCognitive Neurosciencemedia_common.quotation_subjectBM JudaismAgency (philosophy)Experimental and Cognitive PsychologyB Philosophy (General)R Medicine (General)CognitionArtificial IntelligencePhenomenonReligious experienceSpiritualityBR ChristianityGN AnthropologyHumansSpiritualityBP2 TheosophyCausationmedia_commonCognitive scienceQP PhysiologyHM SociologyBrainCognitionGeneral MedicineQM Human anatomyReligionConsciousnessSoulPsychologyBL ReligionCognitive Processing
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Communication structure and collective actions in social media

2010

In this paper I present results a study of different types of social media communication and networking channels that allow for collective action (CA): Twitter, Jaiku / Qaiku, Ning and Facebook. My preliminary findings indicate, that the visual outlining and the structure of communication create different kinds of collectivity and collective actions. A status stream is effective for simple and fast repetitive mass actions and for individual mass broadcasting, while channels and threads are needed as a backchannel for more complicated, coordinated and iterative tasks and support a sense of community. When planning collective action on the Internet, ranging from citizen participation to marke…

Backchannelbusiness.industryPolitical scienceReal-time webSense of communityCollective intelligenceThe InternetSocial mediaPublic relationsbusinessCollective actionCrowdsourcingProceedings of the 14th International Academic MindTrek Conference: Envisioning Future Media Environments
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