Search results for "intelligence"

showing 10 items of 6959 documents

A Hidden Markov Model for Automatic Generation of ER Diagrams from OWL Ontology

2014

Connecting ontological representations and data models is a crucial need in enterprise knowledge management, above all in the case of federated enterprises where corporate ontologies are used to share information coming from different databases. OWL to ERD transformations are a challenging research field in this scenario, due to the loss of expressiveness arising when OWL axioms have to be represented using ERD notation. In this paper we propose an innovative technique for estimating the most likely composition of ERD constructs that correspond to a given sequence of OWL axioms. We model such a process using a Hidden Markov Model (HMM) where the OWL inputs are the observable states, while E…

Syntax (programming languages)Computer sciencebusiness.industrycomputer.internet_protocolWeb Ontology Languagecomputer.software_genreNotationOWL-SData modelingSet (abstract data type)Entity–relationship modelArtificial intelligenceHidden Markov modelbusinesscomputerNatural language processingcomputer.programming_language2014 IEEE International Conference on Semantic Computing
researchProduct

Graphical Template Language for Transformation Synthesis

2010

Higher-Order Transformations (HOT) have become an important support for the development of model transformations in various transformation languages. Most frequently HOTs are used to synthesize transformations from different kinds of models, for example, mapping models. This means that model driven development (MDD) is being successfully applied to transformations themselves too. The standard HOT solution is to create the transformation as a model using the abstract syntax. However, for graphical transformation languages a significantly more efficient solution would be to create the transformation using its graphical (concrete) syntax. An analogy could be the textual template languages such…

Syntax (programming languages)business.industryProgramming languageComputer scienceModel transformationAnalogycomputer.software_genreTransformation languageDevelopment (topology)Concrete syntaxTransformation (function)Abstract syntaxArtificial intelligencebusinesscomputerNatural language processingcomputer.programming_language
researchProduct

Urban monitoring using multi-temporal SAR and multi-spectral data

2006

In some key operational domains, the joint use of synthetic aperture radar (SAR) and multi-spectral sensors has shown to be a powerful tool for Earth observation. In this paper, we analyze the potentialities of combining interferometric SAR and multi-spectral data for urban area characterization and monitoring. This study is carried out following a standard multi-source processing chain. First, a pre-processing stage is performed taking into account the underlying physics, geometry, and statistical models for the data from each sensor. Second, two different methodologies, one for supervised and another for unsupervised approaches, are followed to obtain features that optimize the urban rela…

Synthetic aperture radarEarth observationFeature selectionStatistical modelcomputer.software_genreData setData acquisitionArtificial IntelligenceSignal ProcessingStandard algorithmsComputer Vision and Pattern RecognitionData miningcomputerSoftwareMulti-sourcePattern Recognition Letters
researchProduct

Holography and Superresolution

2013

The capability of improving the spatial resolution of imaging systems is usually known as superresolution. Some methods provide improve resolution by playing with the imaging part of the system and without modifying the optical parameters of the imaging lenses. And others act over the geometry, shape and size of sampling pixels in the detection array. The former strategy allows optical superresolution while the latter provide geometrical superresolution. In this contribution, we will review the state of the art in optical superresolution approaches understood as the possibility to overcome the limited resolving power of imaging systems beyond the bounds imposed by Abbe's diffraction theory.…

Synthetic aperture radarEngineeringPixelbusiness.industryApertureAperture synthesisHolographyPhysics::Opticslaw.inventionOpticslawComputer Science::Computer Vision and Pattern RecognitionDigital image processingComputer visionArtificial intelligencebusinessImage resolutionDigital holographyImaging and Applied Optics
researchProduct

Combining Defocus and Photoconsistency for Depth Map Estimation in 3D Integral Imaging

2017

This paper presents the application of a depth estimation method for scenes acquired using a Synthetic Aperture Integral Imaging (SAII) technique. SAII is an autostereoscopic technique consisting of an array of cameras that acquires images from different perspectives. The depth estimation method combines a defocus and a correspondence measure. This approach obtains consistent results and shows noticeable improvement in the depth estimation as compared to a minimum variance minimisation strategy, also tested in our scenes. Further improvements are obtained for both methods when they are fed into a regularisation approach that takes into account the depth in the spatial neighbourhood of a pix…

Synthetic aperture radarIntegral imagingPixelComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technology01 natural sciences010309 opticsMinimum-variance unbiased estimatorDepth mapComputer Science::Computer Vision and Pattern RecognitionAutostereoscopy0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer visionArtificial intelligencebusiness
researchProduct

Fuzzy Integral Imaging Camera Calibration for Real Scale 3D Reconstructions

2014

In this paper, we present a quantitative analysis of the error in the reconstruction of a 3D scene which has been captured with Synthetic Aperture Integral Imaging system. The 3D information is obtained from 2D images for which the camera parameters are unknown. The model used for calibrating the Integral Imaging camera setup is based on fuzzy systems. These systems provide the opportunity for modeling of conditions which are inherently imprecisely defined. We demonstrate that the error in the 3D reconstruction not only depends on the number of cameras, but also to their relative positions. Our model is applied to a set of images captured experimentally from a real object. A true-color real…

Synthetic aperture radarIntegral imagingbusiness.industryComputer science3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFuzzy control systemIterative reconstructionCondensed Matter PhysicsFuzzy logicElectronic Optical and Magnetic MaterialsCamera auto-calibrationComputer Science::Computer Vision and Pattern RecognitionComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessCamera resectioningJournal of Display Technology
researchProduct

Robust three-dimensional best-path phase-unwrapping algorithm that avoids singularity loops.

2009

In this paper we propose a novel hybrid three-dimensional phase-unwrapping algorithm, which we refer to here as the three-dimensional best-path avoiding singularity loops (3DBPASL) algorithm. This algorithm combines the advantages and avoids the drawbacks of two well-known 3D phase-unwrapping algorithms, namely, the 3D phase-unwrapping noise-immune technique and the 3D phase-unwrapping best-path technique. The hybrid technique presented here is more robust than its predecessors since it not only follows a discrete unwrapping path depending on a 3D quality map, but it also avoids any singularity loops that may occur in the unwrapping path. Simulation and experimental results have shown that …

Synthetic aperture radarOptics and PhotonicsTime FactorsComputer scienceMaterials Science (miscellaneous)Physics::Medical PhysicsIndustrial and Manufacturing EngineeringGeneralLiterature_MISCELLANEOUSQA76Pattern Recognition AutomatedQuantitative Biology::Subcellular ProcessesSingularityRobustness (computer science)Artificial IntelligenceImage Interpretation Computer-AssistedComputer SimulationBusiness and International ManagementQAQuantitative Biology::BiomoleculesT1Phantoms ImagingModels TheoreticalPhase unwrappingMagnetic Resonance ImagingProgramming LanguagesPhase retrievalAlgorithmAlgorithmsSoftwareApplied optics
researchProduct

Learning failure in information systems development

1999

Information systems development is a high-risk undertaking, and fail- ures remain common despite advances in development tools and technologies. In this paper, we argue that one reason for this is the collapse of organizational intelligence required to deal with the complexities of systems development. Orga- nizations fail to learn from their experience in systems development because of limits of organizational intelligence, disincentives for learning, organizational designs and educational barriers. Not only have many organizations failed to learn, but they have also learned to fail. Over time they accept and expect poor perfor- mance while creating organizational myths that perpetuate sho…

System developmentEngineeringDevelopment (topology)Knowledge managementComputer Networks and Communicationsbusiness.industryOrganizational learningInformation systemOrganizational intelligenceProject managementbusinessSoftwareInformation SystemsInformation Systems Journal
researchProduct

Comments on “Overviews of Models Defined with Charts of Concepts” by X. Castellani

2000

This paper has introduced a simplified model for the representation of system development methods. The model forms charts of concepts. Different from other metamodels that are made to explain methods in details, the charts of concepts are to help understanding of the concepts of methods using graphic presentation.

System developmentPresentationbusiness.industryComputer sciencemedia_common.quotation_subjectRepresentation (systemics)Artificial intelligencebusinesscomputer.software_genrecomputerNatural language processingmedia_common
researchProduct

Modelling and Testing of Real Systems

2016

Modelling and Programming are often used together in system development. However, typically there is a large conceptual gap between modelling and programming. This leads to problems in unified handling and the transition between the two. This way, extra work is required when combining modelling and programming. This paper develops a common understanding that can unify modelling and programming in system development.

System developmentWork (electrical)Real systemsComputer science0202 electrical engineering electronic engineering information engineering020207 software engineering020201 artificial intelligence & image processing02 engineering and technologyIndustrial engineering
researchProduct