Search results for "Intelligence"

showing 10 items of 6959 documents

A system for sign language sentence recognition based on common sense context

2005

The paper proposes a complete framework for sign language recognition that integrates common sense in order to deal with sentences. The proposed system is based on a cognitive architecture allows modeling and managing the knowledge of the recognition process in a simple and robust way. The final abstraction level of this architecture introduces the semantic context and the analysis of the correctness of a sentence given a sequence of recognized signs. Experimentations are presented using the Italian sign language (LIS), and shows that the system maintains the recognition rate high when set of sign grows, correcting erroneous recognized single sign using the context

CorrectnessItalian Sign Languagebusiness.industryComputer sciencesign language recognition sequence segmentation multi-level SOM common sense analysisContext (language use)Cognitive architectureSign languagecomputer.software_genreSigned Italian Language rcognitionlanguage.human_languagelanguageArtificial intelligencebusinesscomputerNatural language processingNatural languageSentenceSign (mathematics)
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Learning-automaton-based online discovery and tracking of spatiotemporal event patterns.

2013

Discovering and tracking of spatiotemporal patterns in noisy sequences of events are difficult tasks that have become increasingly pertinent due to recent advances in ubiquitous computing, such as community-based social networking applications. The core activities for applications of this class include the sharing and notification of events, and the importance and usefulness of these functionalities increase as event sharing expands into larger areas of one's life. Ironically, instead of being helpful, an excessive number of event notifications can quickly render the functionality of event sharing to be obtrusive. Indeed, any notification of events that provides redundant information to the…

CorrectnessUbiquitous computingComputer scienceMachine learningcomputer.software_genreOnline SystemsPattern Recognition AutomatedSpatio-Temporal AnalysisRobustness (computer science)Artificial IntelligenceComputer SystemsHumansElectrical and Electronic EngineeringLearning automatabusiness.industrySpatiotemporal patternSocial SupportComputer Science ApplicationsAutomatonHuman-Computer InteractionControl and Systems EngineeringMemory footprintArtificial intelligenceData miningbusinesscomputerSoftwareAlgorithmsInformation SystemsIEEE transactions on cybernetics
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High performance hardware correlation coefficient assessment using programmable logic for ECG signals

2003

Abstract Correlation coefficient is frequently used to obtain cardiac rhythm by peak estimation and appreciate differences in the signal compared to a pattern. This work focuses on the description of a real-time correlation assessment procedure. Applied to electrocardiogram (ECG) signals, a new correlation value is obtained every new sample and pulse detection information is provided. The ECG pattern is internally stored and can be changed when desired. This procedure is useful in Systems on Chip implementation and can be applied to design compact ECG monitoring systems consisting on a system on chip where programmable logic offloads the main processor. A Xilinx FPGA device has been used fo…

Correlation coefficientComputer Networks and CommunicationsComputer sciencebusiness.industryPulse (signal processing)SignalSample (graphics)Ecg monitoringProgrammable logic deviceArtificial IntelligenceHardware and ArchitectureComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSSystem on a chipEcg signalField-programmable gate arraybusinessSoftwareComputer hardwareMicroprocessors and Microsystems
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Artificial neural networks for predicting dorsal pressures on the foot surface while walking

2012

In this work, artificial neural networks (ANNs) are proposed to predict the dorsal pressure over the foot surface exerted by the shoe upper while walking. A model that is based on the multilayer perceptron (MLP) is used since it can provide a single equation to model the exerted pressure for all the materials used as shoe uppers. Five different models are produced, one model for each one of the four subjects under study and an overall model for the four subjects. The inputs to the neural model include the characteristics of the material and the positions during a whole step of 14 pressure sensors placed on the foot surface. The goal is to find models with good generalization capabilities, (…

Correlation coefficientEXPRESION GRAFICA EN LA INGENIERIAGeneralizationComputer scienceShoe upperMachine learningcomputer.software_genreArtificial IntelligenceMultilayer perceptronSet (psychology)Training setArtificial neural networkArtificial neural networksbusiness.industryWork (physics)General EngineeringDorsal pressuresPressure sensorComputer Science ApplicationsData setMultilayer perceptronArtificial intelligencebusinesscomputerLENGUAJES Y SISTEMAS INFORMATICOS
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On the Evaluation of Images Complexity: A Fuzzy Approach

2006

The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer science and cognitive psychology. Computer scientists usually analyze spatial dimensions, to deal with automatic vision problems, such as feature-extraction. Psychologists seem more interested in the temporal dimension of complexity, to explore attentional models. Is it possible, by merging both approaches, to define an more general index of visual complexity? We have defined a fuzzy mathematical model of visual complexity, using a specific entropy function; results obtained by applying this model to pictorial images have a strong correlation with ones from an experime…

CorrelationBinary entropy functionbusiness.industryComputer scienceFuzzy setEntropy (information theory)Artificial intelligencebusinessMachine learningcomputer.software_genreFuzzy logiccomputerVisual complexity
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Recognition Of Polychromatic Test By Multi-Channel Correlation Filtering

1989

A wavelength-multichannel correlation technique based on matched filtering is proposed to identify a colour object with a non uniform colour distribution. The filters are matched to the object which is illuminated with different wavelengths. This correlation gives the information of colour distribution in addition to other information usually obtained from image recognition. The theoretical study of this technique, numerical simulations and discussion are presented.

CorrelationWavelengthDistribution (mathematics)business.industryData_MISCELLANEOUSComputer visionArtificial intelligenceObject (computer science)businessMulti channelMathematicsSPIE Proceedings
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Development of target cost – By the owner or together with Contractors - Target Value Design

2021

Abstract Cost growth and cost overrun of projects is a well-researched topic, but still a recurring problem. Some of the problems may be attributed to the difficulties of setting a realistic cost estimate in the early phase of the project. This paper aims to give insight o the challenge of setting realistic cost targets. We particularly focus on large and complex infrastructure projects in the context on the Norwegian construction industry. Four large infrastructure projects have been examined, all used a variation of target cost and was more or less successful in their implementation of this approach. Through interviews and document study we identified that when setting cost targets for pr…

Cost estimateComputer scienceVDP::Social science: 200::Economics: 210020206 networking & telecommunicationsContext (language use)02 engineering and technologyCost overrunRisk analysis (engineering)Value (economics)0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingEngineering design processSet (psychology)General Environmental ScienceTarget costing
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Cost analysis of a vaccination strategy for respiratory syncytial virus (RSV) in a network model

2010

[EN] In this paper an age-structured mathematical model for respiratory syncytial virus (RSV) is proposed where children younger than one year old, who are the most affected by this illness, are specially considered. Real data of hospitalized children in the Spanish region of Valencia are used in order to determine some seasonal parameters of the model. Once the parameters are determined, we propose a complete stochastic network model to study the seasonal evolution of the respiratory syncytial virus (RSV) epidemics. In this model every susceptible individual can acquire the disease after a random encounter with any infected individual in the social network. The edges of a complete graph co…

Cost estimationbusiness.industryStochastic modellingDiseaseBiologyRespiratory syncytial virusmedicine.disease_causeVaccination strategyComputer Science ApplicationsVaccinationRespiratory syncytial virus (RSV)Network mathematical modelSusceptible individualModeling and SimulationModelling and SimulationStatisticsmedicineCost analysisProbability distributionArtificial intelligencebusinessMATEMATICA APLICADANetwork modelMathematical and Computer Modelling
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Model predictive control for continuous lactide ring‐opening polymerization processes

2020

International audience; Polylactic acid (PLA) is an attractive environment-friendly thermoplastic that is bio-sourced and biodegradable. PLA is industrially produced by the ring-opening polymerization of Lactide. This reaction is sensitive to drifts in the operating conditions and impurities in the raw materials that may affect the reaction rate as well as the polymer properties, which can be very costly in continuous processes. It is therefore crucial to employ a control strategy that allows recovering the nominal conditions and maintaining the desired properties and conversion level in case of drift. Three control strategies are discussed in this paper: Proportional-Integral controller (P…

Coupling0209 industrial biotechnologyMaterials scienceLoop reactoroptimisationProcess (computing)PIPID controller02 engineering and technology7. Clean energyPolylactic acidNonlinear systemModel predictive control020901 industrial engineering & automationPolynomial and rational function modelingControl and Systems EngineeringControl theoryCascade0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringModel predictive control
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Measuring Spatiotemporal Dependencies in Bivariate Temporal Random Sets with Applications to Cell Biology

2008

Analyzing spatiotemporal dependencies between different types of events is highly relevant to many biological phenomena (e.g., signaling and trafficking), especially as advances in probes and microscopy have facilitated the imaging of dynamic processes in living cells. For many types of events, the segmented areas can overlap spatially and temporally, forming random clumps. In this paper, we model the binary image sequences of two different event types as a realization of a bivariate temporal random set and propose a nonparametric approach to quantify spatial and spatiotemporal interrelations using the pair correlation, cross-covariance, and the Ripley K functions. Based on these summary st…

Covariance functionModels BiologicalSensitivity and SpecificityPattern Recognition Automated03 medical and health sciences0302 clinical medicineArtificial IntelligenceImage Interpretation Computer-AssistedCells CulturedIndependence (probability theory)030304 developmental biologyMathematics0303 health sciencesModels Statisticalbusiness.industryStochastic processApplied MathematicsNonparametric statisticsReproducibility of ResultsEstimatorImage EnhancementEndocytosisTemporal databaseMicroscopy FluorescenceComputational Theory and Mathematics[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Computer Vision and Pattern RecognitionArtificial intelligenceCross-covariancebusinessAlgorithms030217 neurology & neurosurgerySoftwareRealization (probability)IEEE Transactions on Pattern Analysis and Machine Intelligence
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