Search results for "AmI model"

showing 3 items of 3 documents

Thermomechanical Analysis of Isora Nanofibril Incorporated Polyethylene Nanocomposites

2021

The research on cellulose fiber-reinforced nanocomposites has increased by an unprecedented magnitude over the past few years due to its wide application range and low production cost. However, the incompatibility between cellulose and most thermoplastics has raised significant challenges in composite fabrication. This paper addresses the behavior of plasma-modified polyethylene (PE) reinforced with cellulose nanofibers extracted from isora plants (i.e., isora nanofibrils (INFs)). The crystallization kinetics of PE&ndash

Materials sciencePolymers and Plasticscrystallization02 engineering and technologymechanical properties010402 general chemistry01 natural sciencesViscoelasticityArticlelaw.inventionpolymer-cellulose nanocompositeslcsh:QD241-441chemistry.chemical_compoundlcsh:Organic chemistrylawCelluloseComposite materialCrystallization[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/BiomaterialsNanocompositeAvrami modelGeneral Chemistry[CHIM.MATE]Chemical Sciences/Material chemistryPolyethylene021001 nanoscience & nanotechnology0104 chemical scienceschemistryNanofiber[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Thermomechanical analysis0210 nano-technologyDispersion (chemistry)
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Requirement analysis abstractions for AmI system design

2015

Current trends in the AI’s evolution are going towards enriching environments with intelligence in order to support humans in their everyday life. AmI systems are plunged in the real world and humans expect to interact with them in a way that is similar to the one they have with other humans. In this kind of systems, where eliciting requirements involves several documents and stakeholders (mainly users that will be the first consumers of the system), the requirement analysis phase can be affected by incomplete, ambiguous and imprecise information. Hence, the need to find a fruitful way for knowledge management and its representation at design time. In this paper we propose a set of abstract…

Statistics and ProbabilityAmbient intelligenceKnowledge representation and reasoningRequirement analysisComputer scienceMulti-agent systemsmart environmentGeneral EngineeringOntology (information science)software designData scienceWorld Wide WebAmI modelArtificial Intelligencemulti-agent systemAmbient intelligenceSystems designSoftware designSmart environmentontologyRequirement analysiRequirements analysisontology AmI modelJournal of Intelligent & Fuzzy Systems
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Masonry structures subjected to tsunami loads: Modeling issues and application to a case study

2020

Abstract Tsunamis are among the most dangerous natural disasters for coastal areas experiencing tsunami hazard. One of the major concerns in the assessment of strategies for the risk mitigation is to estimate vulnerability of structures and infrastructures. However, reliable approaches for the evaluation of the structural capacity under tsunami loads are nowadays not always available for all the types of structures, especially masonry. On this aim, the paper deals with the modeling issues of 3D masonry structures subjected to tsunami loads and the effect on the structural behavior of different modeling approaches. First, a brief state of the art on the available studies is presented regardi…

business.industryComputer scienceBuilding and ConstructionStructural engineeringMasonryFinite element methodSeismic analysisSettore ICAR/09 - Tecnica Delle CostruzioniTsunami loadsTsunami hazardArchitectureTsunami modelingAnalysis softwareFinite element modelingMasonryMasonry structureSafety Risk Reliability and QualitybusinessNatural disasterRisk managementCivil and Structural EngineeringVulnerability (computing)Structures
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