Search results for "Formas"

showing 10 items of 979 documents

A Machine Learning Approach for Fall Detection Based on the Instantaneous Doppler Frequency

2019

Modern societies are facing an ageing problem that is accompanied by increasing healthcare costs. A major share of this ever-increasing cost is due to fall-related injuries, which urges the development of fall detection systems. In this context, this paper paves the way for the development of radio-frequency-based fall detection systems, which do not require the user to wear any device and can detect falls without compromising the user's privacy. For the design of such systems, we present an activity simulator that generates the complex path gain of indoor channels in the presence of one person performing three different activities: slow fall, fast fall, and walking. We have developed a mac…

General Computer ScienceComputer scienceFeature vectorFeature extractionDecision tree02 engineering and technologyMachine learningcomputer.software_genreActivity recognitioncomplex path gainFall detection0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceactivity recognitionVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550instantaneous Doppler frequencyArtificial neural networkbusiness.industryfeature extractionGeneral Engineering020206 networking & telecommunicationsSupport vector machineStatistical classificationmachine learning020201 artificial intelligence & image processinglcsh:Electrical engineering. Electronics. Nuclear engineeringArtificial intelligencebusinesslcsh:TK1-9971computerClassifier (UML)IEEE Access
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Face Inpainting via Nested Generative Adversarial Networks

2019

Face inpainting aims to repaired damaged images caused by occlusion or cover. In recent years, deep learning based approaches have shown promising results for the challenging task of image inpainting. However, there are still limitation in reconstructing reasonable structures because of over-smoothed and/or blurred results. The distorted structures or blurred textures are inconsistent with surrounding areas and require further post-processing to blend the results. In this paper, we present a novel generative model-based approach, which consisted by nested two Generative Adversarial Networks (GAN), the sub-confrontation GAN in generator and parent-confrontation GAN. The sub-confrontation GAN…

General Computer ScienceComputer scienceInpaintingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyFace inpainting010501 environmental sciencesResidual01 natural sciencesImage (mathematics)0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 5500105 earth and related environmental sciencesbusiness.industryDeep learningGeneral Engineeringdeep neural networkPattern recognitionGenerative modelFace (geometry)020201 artificial intelligence & image processingArtificial intelligencenested GANlcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesslcsh:TK1-9971Generator (mathematics)
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A Language and Platform Independent Co-Simulation Framework Based on the Functional Mock-Up Interface

2019

The main goal of the Functional Mock-up Interface (FMI) standard is to allow the sharing of simulation models across tools. To accomplish this, FMI relies on a combination of XML-files and compiled C-code packaged in a zip archive. This archive is called a Functional Mock-up Unit (FMU). In theory, an FMU can support multiple platforms, but not necessarily in practice. Furthermore, software libraries for interacting with FMUs may not be available in a particular language or platform. Another issue is related to the protection of intellectual property (IP). While an FMU is free to only provide the C-code in its binary form, other resources within the FMU may be unprotected. Distributing model…

General Computer ScienceComputer scienceInterface (Java)distributed simulation020101 civil engineering02 engineering and technologyCo-simulation01 natural sciences010305 fluids & plasmas0201 civil engineeringmodel exchangeSoftware0103 physical sciencesCode (cryptography)General Materials ScienceElectrical and Electronic EngineeringArchitectureVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550FMIFMUbusiness.industryGeneral EngineeringVDP::Teknologi: 500Remote procedure callFunctional Mock-up InterfaceRPClcsh:Electrical engineering. Electronics. Nuclear engineeringCo-simulationCommunications protocolSoftware engineeringbusinesslcsh:TK1-9971
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Adaptive quantized control of uncertain nonlinear rigid body systems

2023

This paper investigates the attitude tracking control problem for uncertain nonlinear rigid body systems, where both inputs and states are quantized. It is common in networked control systems that sensor and control signals are quantized before they are transmitted via a communication network. An adaptive backstepping control algorithm is developed for a class of uncertain multiple-input multiple-output (MIMO) systems where a class of sector bounded quantizers is considered. It is shown that all the closed-loop signals are ensured uniformly bounded and tracking is achieved. Further, the tracking errors are shown to converge towards a compact set containing the origin and the set can be made…

General Computer ScienceControl and Systems EngineeringMechanical EngineeringElectrical and Electronic EngineeringVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420
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Low-Power Wide-Area Networks: A Broad Overview of its Different Aspects

2022

Low-power wide-area networks (LPWANs) are gaining popularity in the research community due to their low power consumption, low cost, and wide geographical coverage. LPWAN technologies complement and outperform short-range and traditional cellular wireless technologies in a variety of applications, including smart city development, machine-to-machine (M2M) communications, healthcare, intelligent transportation, industrial applications, climate-smart agriculture, and asset tracking. This review paper discusses the design objectives and the methodologies used by LPWAN to provide extensive coverage for low-power devices. We also explore how the presented LPWAN architecture employs various topol…

General Computer ScienceGeneral EngineeringGeneral Materials ScienceElectrical and Electronic EngineeringVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550IEEE Access
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SFTSDH: Applying Spring Security Framework with TSD-Based OAuth2 to Protect Microservice Architecture APIs

2022

The Internet of Medical Things (IoMT) combines medical devices and applications that use network technologies to connect healthcare information systems (HIS). IoMT is reforming the medical industry by adopting information and communication technologies (ICTs). Identity verification, secure collection, and exchange of medical data are essential in health applications. In this study, we implemented a hybrid security solution to secure the collection and management of personal health data using Spring Framework (SF), Services for Sensitive Data (TSD) as a service platform, and Hyper-Text-Transfer-Protocol (HTTP (H)) security methods. The adopted solution (SFTSDH = SF + TSD + H) instigated the …

General Computer ScienceGeneral EngineeringGeneral Materials ScienceVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Reinforcement Learning based Fault-Tolerant Routing Algorithm for Mesh based NoC and its FPGA Implementation

2022

Network-on-Chip (NoC) has emerged as the most promising on-chip interconnection framework in Multi-Processor System-on-Chips (MPSoCs) due to its efficiency and scalability. In the deep submicron level, NoCs are vulnerable to faults, which leads to the failure of network components such as links and routers. Failures in NoC components diminish system efficiency and reliability. This paper proposes a Reinforcement Learning based Fault-Tolerant Routing (RL-FTR) algorithm to tackle the routing issues caused by link and router faults in the mesh-based NoC architecture. The efficiency of the proposed RL-FTR algorithm is examined using System-C based cycle-accurate NoC simulator. Simulations are c…

General Computer ScienceGeneral EngineeringGeneral Materials ScienceVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Enactive methods towards situational learning - engaging people with intellectual and developmental disability in design

2022

In this paper we explore how enactive methods may support and enhance the design of mobile solutions for people with intellectual and developmental disabilities. Our project deals with supporting independent public transport and applies enactive methods in order to account for the interdependent nature of technology, disability, and environment. We staged three iterations of a bus workshop and one theatre workshop where real, everyday scenarios were acted out to gain tacit yet crucial insights. These enactive workshops and the prototype testing showed that transport activities are context dependent and unique to each individual. In our case, enactive methods revealed that independent public…

General Earth and Planetary SciencesVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550General Environmental ScienceProcedia Computer Science
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España inacabada. Organización territorial del Estado, autonomía política y reconocimiento de la diversidad nacional

2021

S’han complert més de tres dècades de vigència de la Constitució de 1978 i, per tant, ja es disposa de prou perspectiva per analitzar el grau d’eficàcia d’un model d’Estat, per alguns, gairebé federal i, per a uns altres, senzillament molt descentralitzat. D’altra banda, a Espanya segueix plenament obert el debat sobre Espanya. Sigui quina sigui l’opinió, la veritat és que el nostre antic problema consumeix una gran part de les energies col·lectives, condiciona àmpliament l’agenda política, genera notables tensions socials i projecta ombres d’incertesa respecte al futur. En aquest treball, s’hi presenta un balanç de les dues qüestions. Després d’oferir un resum breu del procés de construcci…

Governança territorialDéficit en coordination et la coopération multi-niveaux Nations et régionsFederalisme plurinacionalGeography Planning and DevelopmentEspañaDèficits de coordinació i cooperació multinivellDéficit de coordinación y cooperación multinivelReformesNational diversityGouvernance territorialeEficàcia de l'EstatComposite StateMultinational federalismDiversitat nacionalFederalismo plurinacionalNacions i regionsTerritorial governanceEstat compostDiversité nationaleReformasFédéralisme multinationalDeficits in multilevel coordination and cooperation nations and regionsEspanyaEarth-Surface ProcessesNaciones y regionesEspagneEfficiency of state reformsEstado compuestoÉtat compositeEficacia del EstadoSpainEfficacité des réformes de l'ÉtatGobernanza territorialDiversidad nacionalDocuments d'Anàlisi Geogràfica
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Identificación y priorización de actuaciones de mejora de la eficiencia en el Sistema Nacional de Salud

2011

ResumenObjetivosIdentificar un número significativo de actuaciones orientadas a mejorar la eficiencia y reducir el despilfarro en el Sistema Nacional de Salud (SNS), y priorizarlas en función de su impacto. Valorar el impacto y la prioridad de las medidas implantadas o anunciadas por el gobierno.Material y métodosReunión de 13 expertos, estructurada siguiendo procedimientos adaptados de las técnicas de brainstorming, grupo nominal y método de consenso Rand.ResultadosEl panel propuso 101 posibles medidas para mejorar la eficiencia del SNS, que junto a las 11 contenidas en los Reales Decretos-Ley 4 y 8 de 2010, suman un total de 112 propuestas valoradas. Las propuestas se centraron en el buen…

GovernmentFinancial impactbusiness.industryPublic Health Environmental and Occupational HealthPsychological interventionAccountingEfficiencyGrupo nominalHealthcare reformsGood governanceEficienciaBrainstormingImpacto presupuestarioNominal groupAccountabilityHealth careWorkforceReformas sanitariasbusinessUtilization managementGaceta Sanitaria
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