Search results for " Soft"

showing 10 items of 1710 documents

Towards a Reference Architecture for Model-Driven Business Apps

2016

Model-driven development techniques have been proposed for cross-platform app development. Typically, an individual domain-specific language (DSL) is used. The MD² framework consists of a DSL for business apps and generators, which transform a domain model to native platform code. Prior research on it focused on language and general generator design, this paper accentuates the code generation stage. A reference architecture for the generated apps is proposed to accelerate the development of new generators for which architectural decisions had been made on ad-hoc basis up to now. Moreover, generators are going to expose similar structures that facilitate maintenance. Our proposal takes MD²'s…

Flexibility (engineering)Enterprise architecture frameworkbusiness.industryComputer scienceMobile computing020207 software engineering02 engineering and technologySoftwareApplications architectureBusiness architecture0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingCode generationReference architectureSoftware engineeringbusiness2016 49th Hawaii International Conference on System Sciences (HICSS)
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Blockchain for Smart Cities: Applications for IoT and Video Surveillance Systems

2020

The recent revolution of the Internet of Things introduces new engaging operat- ing scenarios. The IoT paradigm enables the intertwined use of physical and soft- ware components through the interconnection of devices that exchange data with each other without direct human interaction in several fields, especially in industrial and home environments. In the framework of the Italian-Vietnamese cooperation on the topics of smart cities and Blockchain, we present two applications of the blockchain technology, which can be applied, respectively in indoor, for monitoring and controlling smart homes, and in outdoor, for visual monitoring through video surveillance systems. In both cases, we propos…

Flexibility (engineering)ImmutabilityFocus (computing)BlockchainSettore ING-INF/03 - TelecomunicazioniComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVideosurveillance IoT blockchainComputer securitycomputer.software_genreExtensibilityComponent-based software engineeringTimestampInternet of Thingsbusinesscomputer
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Process support in MetaCASE: implementing the conceptual basis for enactable process models in MetaEdit+

2002

This study concerns the support of information system analysis and design process in a metaCASE environment. We see a process as highly, evolutionary and unstructural in nature, thus requiring the tailorability of user process models and their conceptual basis, process modelling language (PML). In addition to the flexibility needed for guiding various system developers, the CASE environment needs to be enacted using strictly defined environment actions. A distinction between user and environment processes is made, hence distinguishing also their conceptual basis and modelling requirements. The study depicts the realisation of the basic concepts and tools required in modelling a PML and the …

Flexibility (engineering)Process modelingProcess modeling languagesComputer sciencebusiness.industryProcess (engineering)Information systemSystems engineeringDesign processComputer-aided software engineeringSoftware engineeringbusinessProceedings 8th Conference on Software Engineering Environments
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Frequency-dependent hydrodynamic interaction between two solid spheres

2017

Hydrodynamic interactions play an important role in many areas of soft matter science. In simulations with implicit solvent, various techniques such as Brownian or Stokesian dynamics explicitly include hydrodynamic interactions a posteriori by using hydrodynamic diffusion tensors derived from the Stokes equation. However, this equation assumes the interaction to be instantaneous which is an idealized approximation and only valid on long time scales. In the present paper, we go one step further and analyze the time-dependence of hydrodynamic interactions in a compressible fluid on the basis of the linearized Navier-Stokes equation. The theoretical results show that the compressibility of the…

Fluid Flow and Transfer ProcessesPhysics010304 chemical physicsStokesian dynamicsMechanical EngineeringComputational MechanicsFOS: Physical sciencesMechanicsCondensed Matter - Soft Condensed MatterStokes flowCondensed Matter Physics01 natural sciencesCompressible flow010305 fluids & plasmasMolecular dynamicsMechanics of Materials0103 physical sciencesCompressibilitySoft Condensed Matter (cond-mat.soft)Hydrodynamic theoryNavier–Stokes equationsBrownian motionPhysics of Fluids
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Deep Learning Networks for Automatic Retroperitoneal Sarcoma Segmentation in Computerized Tomography

2022

The volume estimation of retroperitoneal sarcoma (RPS) is often difficult due to its huge dimensions and irregular shape; thus, it often requires manual segmentation, which is time-consuming and operator-dependent. This study aimed to evaluate two fully automated deep learning networks (ENet and ERFNet) for RPS segmentation. This retrospective study included 20 patients with RPS who received an abdominal computed tomography (CT) examination. Forty-nine CT examinations, with a total of 72 lesions, were included. Manual segmentation was performed by two radiologists in consensus, and automatic segmentation was performed using ENet and ERFNet. Significant differences between manual and automat…

Fluid Flow and Transfer ProcessesTechnologyArtificial intelligenceSoft tissue sarcomaQH301-705.5Process Chemistry and TechnologyTPhysicsQC1-999General EngineeringDeep learningEngineering (General). Civil engineering (General)Computer Science ApplicationsChemistrySegmentationVolume estimationGeneral Materials ScienceDeep learning; soft tissue sarcoma; volume estimation; segmentation; artificial intelligenceTA1-2040Biology (General)InstrumentationQD1-999
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Simple Lossless Inductive Snubbers-Assisted Series Load Resonant Inverter Operating under ZCS-PDM Scheme for High-Frequency Induction Heating Fixed R…

2022

This paper presents a high-frequency pulse-density-modulated (PDM) soft-switching series load resonant inverter for use in induction heating (IH) fixed roller applications, which is used in copy and printing machines. The proposed simple high-frequency resonant inverter uses an asymmetrical pulse pattern PDM control scheme to achieve complete zero-current soft-switching commutations over a wide output range of input power regulation. Additionally, when the printer toner requires operation in very light load conditions, this causes difficulty in achieving zero-voltage or zero-current soft-switching operations in the IH high-frequency resonant inverters with pulse frequency modulation or puls…

Fluid Flow and Transfer ProcessesTechnologypulse density modulationQH301-705.5TPhysicsQC1-999Process Chemistry and TechnologyGeneral EngineeringEngineering (General). Civil engineering (General)induction heatingComputer Science ApplicationsVDP::Teknologi: 500high-frequency induction heating fixed rollerChemistryzero-current soft-switchinginduction heating; zero-current soft-switching; pulse density modulation; high-frequency induction heating fixed rollerGeneral Materials ScienceTA1-2040Biology (General)QD1-999InstrumentationApplied Sciences
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Physics of agarose fluid gels: Rheological properties and microstructure

2021

Agarose, a strongly gelling polysaccharide, is a common ingredient used to optimize the viscoelastic properties of a multitude of food products. Through aggregation of double helices via hydrogen bonds while cooling under quiescent conditions it forms firm and brittle gels. However, this behavior can be altered by manipulating the processing conditions viz shear. For example, gelation under shear leads to microgel particles with large surface area, which in turn leads to completely different rheological properties and texture. Such fluid gels are shown to play an important role in texture modification of foods and beverages for dysphagia patients. In this study, different concentration of a…

Fluid/sheared gelsPhysical gelationNutrition. Foods and food supplyFriction coefficientTP368-456Applied Microbiology and BiotechnologyViscoelasticityFood processing and manufactureViscositychemistry.chemical_compoundRheologychemistryChemical engineeringDynamic modulusParticle-size distributionAgaroseParticleAgaroseMicrogel particlesTX341-641Particle sizeArticles from the special issue: Edible Soft Matter edited by Ashok R.PatelRheologyFood ScienceBiotechnologyCurrent Research in Food Science
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A virtual laboratory designed for teaching diffractive lenses

2010

[EN] We present a virtual laboratory generated in Matlab GuiQc (Graphical User Interface) for its use in Optics courses as an informatic tool for teaching the focusing properties of a diffractive lens. This Gui allows the students to learn easily and rapidly about the influence on the focal volume of the lens construction parameters. As an example in this work we analyze fractal diffractive lenses because we found that fractal geometry is a highly motivating topic for students since it is related to a wide range of scientific and technological phenomena.

Focal volumeEngineeringbusiness.industryOpticslcsh:Education (General)law.inventionLens (optics)MatlabQcFractalsDiffractive lensFractallawComputer graphics (images)Virtual Laboratorylcsh:L7-991businessMATLABcomputerEducational SoftwareGraphical user interfacecomputer.programming_languageModelling in Science Education and Learning
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Continuous experimentation on artificial intelligence software : a research agenda

2020

Moving from experiments to industrial level AI software development requires a shift from understanding AI/ ML model attributes as a standalone experiment to know-how integrating and operating AI models in a large-scale software system. It is a growing demand for adopting state-of-the-art software engineering paradigms into AI development, so that the development efforts can be aligned with business strategies in a lean and fast-paced manner. We describe AI development as an “unknown unknown” problem where both business needs and AI models evolve over time. We describe a holistic view of an iterative, continuous approach to develop industrial AI software basing on business goals, requiremen…

Focus (computing)Future studiesComputer sciencebusiness.industrysoftwareContinuous experimentationohjelmistotuotantoSoftware development020207 software engineeringArtificial intelligence software02 engineering and technologytekoälytutkimustoimintaartificial intelligenceGeneralLiterature_MISCELLANEOUSEngineering managementBusiness goalsSoftwareComputingMethodologies_PATTERNRECOGNITION020204 information systems0202 electrical engineering electronic engineering information engineeringSoftware systembusinessohjelmistokehitys
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Multilayer Network Model of Movie Script

2018

Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social network analysis, most of these models focus on the characters at play. The network model well captures all characters interactions, giving a broad picture of the narration’s content. A few works went beyond by introducing additional semantic elements, always captured in a single layer network. In contrast, we introduce in this work a multilayer network model to capture more elements of the narration of a movie from its script: people, locations, and other semantic elements. This model enables new measures and insights…

Focus (computing)Information retrievalComputer scienceSocial network analysis (criminology)Contrast (statistics)020207 software engineering02 engineering and technology01 natural sciencesAutomatic summarization010305 fluids & plasmas0103 physical sciences0202 electrical engineering electronic engineering information engineeringNarrative[INFO]Computer Science [cs]Single layerComputingMilieux_MISCELLANEOUSNetwork model
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