Search results for "DOMAIN"

showing 10 items of 2485 documents

UML/OCL-based modeling of work-based access control policies for collaborative healthcare systems

2016

A work-based access control (WBAC) model is proposed by introducing the team role concept and modifying the user-role assignment model from a previous work. The main goals of WBAC are flexibility, easy manageability, security, as well as suitability to support cooperative work of dynamic teams in healthcare environments. One of the major challenges of WBAC regards authorization constraints in terms of organizational policies. In this article, we show how Unified Modeling Language (UML) and Object Constraints Language (OCL) are utilized to design and analyze the authorization constraints of WBAC in cooperative engagements with complex scenarios in the collaborative healthcare domain. We also…

Flexibility (engineering)021110 strategic defence & security studies021103 operations researchKnowledge managementComputer sciencebusiness.industry0211 other engineering and technologiesAccess control02 engineering and technologyObject (computer science)Domain (software engineering)Work (electrical)Unified Modeling LanguagebusinessSoftware engineeringcomputerObject Constraint Languagecomputer.programming_languageEclipse2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)
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Scenario-based Serious Game to Teach about Healthcare

2019

Author's accepted manuscript (postprint). © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Available from 29/10/2021. In this paper, we explore the concept of a scenario-based serious game for healthcare solutions. The complexity of the interactions and the multitude of actors is captured in a scenario, which is then played with the help of an additional game pl…

Flexibility (engineering)business.industryComputer scienceMultitudeContext (language use)Domain (software engineering)Information and Communications TechnologyHuman–computer interactionHealth careTask analysiseHealthVDP::Medisinske Fag: 700businessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Metamodel Specialization for DSL Tool Building

2016

Most of domain-specific tool building and especially diagram editor building nowadays involves some usage of metamodels. However normally the metamodel alone is not sufficient to define an editor. Frequently the metamodel just defines the abstract syntax of the domain, mappings or transformations are required to define the editor. Another approach [8] is based on a fixed type metamodel, there an editor definition consists of an instance of this metamodel to be executed by an engine. However there typically a number of functionality extensions in a transformation language is required. The paper offers a new approach based on metamodel specialization. First the metamodel specialization based …

FlowchartTheoretical computer scienceComputingMethodologies_SIMULATIONANDMODELINGComputer scienceProgramming languagecomputer.software_genreTransformation languagelaw.inventionMetamodelingDomain (software engineering)Unified Modeling LanguageSoftware_SOFTWAREENGINEERINGlawAbstract syntaxSpecialization (logic)Class diagramSoftware_PROGRAMMINGLANGUAGEScomputercomputer.programming_language
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Development of a Novel Object Detection System Based on Synthetic Data Generated from Unreal Game Engine

2022

This paper presents a novel approach to training a real-world object detection system based on synthetic data utilizing state-of-the-art technologies. Training an object detection system can be challenging and time-consuming as machine learning requires substantial volumes of training data with associated metadata. Synthetic data can solve this by providing unlimited desired training data with automatic generation. However, the main challenge is creating a balanced dataset that closes the reality gap and generalizes well when deployed in the real world. A state-of-the-art game engine, Unreal Engine 4, was used to approach the challenge of generating a photorealistic dataset for deep learnin…

Fluid Flow and Transfer ProcessesVDP::Teknologi: 500Process Chemistry and TechnologyGeneral Engineeringcomputer vision; deep learning; domain randomization; object detection; NDDS; PyTorch; sim2real; synthetic data; Unreal Engine; YOLOv5General Materials ScienceVDP::Matematikk og Naturvitenskap: 400InstrumentationComputer Science ApplicationsApplied Sciences
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Antidepressants and Antipsychotic Drugs Colocalize with 5-HT(3) Receptors in Raft-Like Domains

2005

Despite different chemical structure and pharmacodynamic signaling pathways, a variety of antidepressants and antipsychotics inhibit ion fluxes through 5-HT3receptors in a noncompetitive manner with the exception of the known competitive antagonists mirtazapine and clozapine. To further investigate the mechanisms underlying the noncompetitive inhibition of the serotonin-evoked cation current, we quantified the concentrations of different types of antidepressants and antipsychotics in fractions of sucrose flotation gradients isolated from HEK293 (human embryonic kidney 293) cells stably transfected with the 5-HT3Areceptor and of N1E-115 neuroblastoma cells in relation to the localization of …

Fluphenazinemedicine.medical_specialtyPharmacology5-HT3 receptorCell LineMembrane MicrodomainsDesipramineInternal medicinemedicineHumansSerotonin 5-HT3 Receptor AntagonistsReceptorClozapine5-HT receptorbiologyChemistryGeneral NeuroscienceAntidepressive AgentsEndocrinologybiology.proteinSerotoninSerotonin AntagonistsSignal transductionReceptors Serotonin 5-HT3medicine.drugCellular/MolecularAntipsychotic AgentsProtein Binding
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Teaching Language Engineering Using MPS

2021

At universities, computer language handling is most often taught with a focus on compiler theory. However, in practical applications, domain-specific languages (DSLs) are much more important. DSLs implement model-driven technology in an understandable way, as models can be expressed easily using DSLs. One interesting domain for DSLs in this context is language handling itself, and many current tools for language handling are model-driven and based on meta-models. This chapter connects compiler theory and meta-modelling within a university course about language handling. The course features the relevant theory and uses MPS as a practical tool. We show how MPS is used in the course and discus…

Focus (computing)Compiler constructionComputer sciencebusiness.industryTeaching languageContext (language use)Software engineeringbusinessDomain (software engineering)
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Improving Serendipity and Accuracy in Cross-Domain Recommender Systems

2017

Cross-domain recommender systems use information from source domains to improve recommendations in a target domain, where the term domain refers to a set of items that share attributes and/or user ratings. Most works on this topic focus on accuracy but disregard other properties of recommender systems. In this paper, we attempt to improve serendipity and accuracy in the target domain with datasets from source domains. Due to the lack of publicly available datasets, we collect datasets from two domains related to music, involving user ratings and item attributes. We then conduct experiments using collaborative filtering and content-based filtering approaches for the purpose of validation. Ac…

Focus (computing)data collectionInformation retrievalData collectionSerendipityComputer sciencesuosittelujärjestelmätserendipity02 engineering and technologyRecommender systemDomain (software engineering)Term (time)collaborative filtering020204 information systemscross-domain recommendations0202 electrical engineering electronic engineering information engineeringCollaborative filteringcontent-based filtering020201 artificial intelligence & image processingSet (psychology)
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On the Kneser property for reaction–diffusion equations in some unbounded domains with an -valued non-autonomous forcing term

2012

Abstract In this paper, we prove the Kneser property for a reaction–diffusion equation on an unbounded domain satisfying the Poincare inequality with an external force taking values in the space H − 1 . Using this property of solutions we check also the connectedness of the associated global pullback attractor. We study also similar properties for systems of reaction–diffusion equations in which the domain is the whole R N . Finally, the results are applied to a generalized logistic equation.

Forcing (recursion theory)Social connectednessApplied MathematicsMathematical analysisPoincaré inequalityPullback attractorSpace (mathematics)Domain (mathematical analysis)symbols.namesakeReaction–diffusion systemsymbolsLogistic functionAnalysisMathematicsNonlinear Analysis: Theory, Methods & Applications
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A Novel Approach to Propagation Pattern Analysis in Intracardiac Atrial Fibrillation Signals

2010

The purpose of this study is to investigate propagation patterns in intracardiac signals recorded during atrial fibrillation (AF) using an approach based on partial directed coherence (PDC), which evaluates directional coupling between multiple signals in the frequency domain. The PDC is evaluated at the dominant frequency of AF signals and tested for significance using a surrogate data procedure specifically designed to assess causality. For significantly coupled sites, the approach allows also to estimate the delay in propagation. The methods potential is illustrated with two simulation scenarios based on a detailed ionic model of the human atrial myocyte as well as with real data recordi…

Frequency analysiComputer scienceBiomedical EngineeringElectrogramAction PotentialsIntracardiac injectionPattern Recognition AutomatedSurrogate datalaw.inventionHeart Conduction SystemlawAtrial FibrillationmedicineHumansCoherence (signal processing)Computer SimulationDiagnosis Computer-AssistedSimulationFrequency analysisbusiness.industryBody Surface Potential MappingPartial directed coherenceModels CardiovascularPropagation patternAtrial fibrillationPattern recognitionAtrial arrhythmiamedicine.diseaseInformation engineeringMappingFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate autoregressive modelingArtificial intelligencebusinessSimulationAnnals of Biomedical Engineering
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A new Frequency Domain Measure of Causality based on Partial Spectral Decomposition of Autoregressive Processes and its Application to Cardiovascular…

2019

We present a new method to quantify in the frequency domain the strength of directed interactions between linear stochastic processes. This issue is traditionally addressed by the directed coherence (DC), a popular causality measure derived from the spectral representation of vector autoregressive (AR) processes. Here, to overcome intrinsic limitations of the DC when it needs to be objectively quantified within specific frequency bands, we propose an approach based on spectral decomposition, which allows to isolate oscillatory components related to the pole representation of the vector AR process in the Z-domain. Relating the causal and non-causal power content of these components we obtain…

Frequency band0206 medical engineering02 engineering and technologyTransfer functionRadio spectrumMatrix decomposition03 medical and health sciences0302 clinical medicineheart rateHumansCoherence (signal processing)Arterial PressureMathematicsStochastic Processespole-specific spectral causality (PSSC)Stochastic processHeartsystolic arterial pressure (SAP)Baroreflex020601 biomedical engineeringCausalityAutoregressive modelFrequency domainautoregressive processeSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaAlgorithmdirected coherence030217 neurology & neurosurgery
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