Search results for "cost"

showing 10 items of 5421 documents

Validating retinal fundus image analysis algorithms: issues and a proposal.

2013

This paper concerns the validation of automatic retinal image analysis (ARIA) algorithms. For reasons of space and consistency, we concentrate on the validation of algorithms processing color fundus camera images, currently the largest section of the ARIA literature. We sketch the context (imaging instruments and target tasks) of ARIA validation, summarizing the main image analysis and validation techniques. We then present a list of recommendations focusing on the creation of large repositories of test data created by international consortia, easily accessible via moderated Web sites, including multicenter annotations by multiple experts, specific to clinical tasks, and capable of running …

Computer programFundus OculiCost effectivenessbusiness.industryComputer scienceReproducibility of ResultsContext (language use)Image processingArticlesG400 Computer ScienceReference StandardsSketchOphthalmoscopyConsistency (database systems)SoftwareRetinal DiseasesImage Processing Computer-AssistedHumansbusinessAlgorithmAlgorithmsSoftwareTest data
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A Novel Solution to Find the Dynamic Response of an Euler–Bernoulli Beam Fitted with Intraspan TMDs under Poisson Type Loading

2020

This contribution considers a virtual experiment on the vibrational response of rail and road bridges equipped with smart devices in the form of damping elements to mitigate vibrations. The internal damping of the bridge is considered a discontinuity that contain a dashpot. Exact complex eigenvalues and eigenfunctions are derived from a characteristic equation built as the determinant of a 4 x 4 matrix

Computer science020101 civil engineeringPoissonian Loading02 engineering and technologylcsh:TechnologyDashpot0201 civil engineeringDamper0203 mechanical engineeringTuned mass damperGeneral Materials ScienceEigenvalues and eigenvectorsCivil and Structural EngineeringGeneralized functionTuned Mass Damperlcsh:TMathematical analysisCharacteristic equationBuilding and ConstructionWhite noiseGeotechnical Engineering and Engineering GeologyComputer Science ApplicationsVibration020303 mechanical engineering & transportsEuler Bernoulli BeamEuler Bernoulli beam Poissonian loading Tuned mass damperSettore ICAR/08 - Scienza Delle CostruzioniInfrastructures
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Image-based 3D reconstruction using traditional and UAV datasets for analysis of road pavement distress

2018

Abstract On local and urban networks, the enduring issue of scarce resources for Maintenance, Rehabilitation, and Reconstruction strategies (MR&R) has led, in many cases, to using unadjusted or poor techniques for road pavement distress detection and analysis, yielding ineffective or even counterproductive results. Therefore, it is necessary to have tools that can carry out quick, reliable and low-cost assessment surveys. This paper aims at validating the use of innovative and low-cost technologies for road pavement analysis, assessing their potentialities for improving the automation and reliability of distress detection. A Structure from Motion (SfM) technique is analyzed at different alt…

Computer science0211 other engineering and technologies02 engineering and technologyRoad pavement distresseTransport engineering021105 building & construction11. Sustainability0202 electrical engineering electronic engineering information engineeringStructure from motionSettore ICAR/04 - Strade Ferrovie Ed AeroportiReliability (statistics)Civil and Structural Engineeringbusiness.industryStructure from motion3D reconstructionLow-cost technologiePavement managementBuilding and ConstructionAutomationDistress3D modelsPavement managementControl and Systems Engineering020201 artificial intelligence & image processingMetric (unit)businessImage basedAutomation in Construction
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Constitutive Models for the Tensile Behaviour of TRM Materials: Literature Review and Experimental Verification

2021

In recent years, the scientific community has focused its interest on innovative inorganic matrix composite materials, namely TRM (Textile Reinforced Mortar). This class of materials satisfies the need of retrofitting existing masonry buildings, by keeping the compatibility with the substrate. Different recent studies were addressed to improve the knowledge on their mechanical behaviour and some theoretical models were proposed for predicting the tensile response of TRM strips. However, this task is complex due to the heterogeneity of the constituent materials and the stress transfer mechanism developed between matrix and fabric through the interface in the cracked stage. This paper present…

Computer science0211 other engineering and technologies02 engineering and technologylcsh:TechnologyArticleTextile Reinforced Mortar (TRM)Strengthening Tensile behaviour Textile Reinforced Mortar (TRM)Stress (mechanics)021105 building & constructionUltimate tensile strengthRetrofittingGeneral Materials Sciencelcsh:Microscopytensile behaviourReliability (statistics)lcsh:QC120-168.85lcsh:QH201-278.5business.industrylcsh:TStructural engineeringMasonry021001 nanoscience & nanotechnologySettore ICAR/09 - Tecnica Delle CostruzioniTensile behaviorlcsh:TA1-2040Compatibility (mechanics)strengtheninglcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineeringMortar0210 nano-technologybusinesslcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Materials
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Masonry Compressive Strength Prediction Using Artificial Neural Networks

2019

The masonry is not only included among the oldest building materials, but it is also the most widely used material due to its simple construction and low cost compared to the other modern building materials. Nevertheless, there is not yet a robust quantitative method, available in the literature, which can reliably predict its strength, based on the geometrical and mechanical characteristics of its components. This limitation is due to the highly nonlinear relation between the compressive strength of masonry and the geometrical and mechanical properties of the components of the masonry. In this paper, the application of artificial neural networks for predicting the compressive strength of m…

Computer science0211 other engineering and technologiesSocial SciencesCompressive strength020101 civil engineering02 engineering and technology0201 civil engineeringEngenharia e Tecnologia::Engenharia CivilBack-Propagation Neural Networks (BPNNs)11. Sustainability021105 building & constructionMasonryArtificial Neural Networks (ANNs)Science & TechnologyArtificial neural networkbusiness.industryMasonry unitArts & HumanitiesStructural engineeringMasonryMortarSettore ICAR/09 - Tecnica Delle CostruzioniNonlinear systemSoft-computing techniquesCompressive strengthBuilding materialsBuilding materialMortarbusiness
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DORA algorithm for network flow models with improved stability and convergence properties

2001

A new methodology for the solution of shallow water equations is applied for the computation of the unsteady-state flow in an urban drainage network. The inertial terms are neglected in the momentum equations and the solution is decoupled into one kinematic and one diffusive component. After a short presentation of the DORA (Double ORder Approximation) methodology in the case of a single open channel, the new methodology is applied to the case of a sewer network. The transition from partial to full section and vice versa is treated without the help of the Preissmann approximation. The algorithm also allows the computation of the diffusive component in the case of vertical topographic discon…

Computer scienceComputationMechanical EngineeringLinear systemSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaFlow networkOpen-channel flowFlow (mathematics)Convergence (routing)Boundary value problemAlgorithmShallow water equationsWater Science and TechnologyCivil and Structural Engineering
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Structural performances of pultruded GFRP emergency structures – Part 2: Full-scale experimental testing

2019

Abstract This paper presents an experimental testing of a pultruded glass fiber reinforced polymer (FRP) structure used for emergency applications continuing the discussion presented in a previous paper (part 1) where the study of the characteristics of material and elements are presented. First, the design of the composite structure and components and the evaluation of the structural behavior by means of numerical and analytical approach according to current regulatory codes are described. In this frame, the global and local response was observed according to load paths deriving from the design loads at limit states. Then, the experimental test on a full-scale 2D model is presented at diff…

Computer scienceFull scale02 engineering and technologyExperimental testing0203 mechanical engineeringEmergency structureLimit (music)Glass fibers reinforced polymers pultruded profilePultrusionBearing capacityCivil and Structural EngineeringFull-scale experimental testingbusiness.industryFrame (networking)Glass fiber reinforced polymerStructural engineeringFibre-reinforced plastic021001 nanoscience & nanotechnologySettore ICAR/09 - Tecnica Delle CostruzioniSettore ING-IND/22 - Scienza E Tecnologia Dei Materiali020303 mechanical engineering & transportsPultrusionComposite structureCeramics and Composites0210 nano-technologybusinessComposite Structures
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Krill herd algorithm-based neural network in structural seismic reliability evaluation

2018

ABSTRACTIn this research work, the relative displacement of the stories has been determined by means of a feedforward Artificial Neural Network (ANN) model, which employs one of the novel methods for the optimization of the artificial neural network weights, namely the krill herd algorithm. For the purpose of this work, the area, elasticity, and load parameters were the input parameters and the relative displacement of the stories was the output parameter. To assess the precision of the feedforward (FF) model optimized using the Krill Herd Optimization (FF-KH) algorithm, comparison of results has been performed relative to the results obtained by the linear regression model, the Genetic Alg…

Computer scienceGeneral Mathematics02 engineering and technologyBack propagation neural networkkrill herdLinear regression0202 electrical engineering electronic engineering information engineeringMathematics (all)Mechanics of MaterialGeneral Materials Scienceartificial krill herd algorithmCivil and Structural Engineeringregression modelArtificial neural networkMechanical EngineeringFeed forwardseismic reliability assessment of structureKrill herd algorithmRegression analysisArtificial intelligence techniqueKrill herd021001 nanoscience & nanotechnologySettore ICAR/09 - Tecnica Delle CostruzioniMechanics of Materials020201 artificial intelligence & image processingMaterials Science (all)0210 nano-technologyoptimizationRelative displacementAlgorithmartificial neural networkMechanics of Advanced Materials and Structures
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Economical Models for Reconfigurable Manufacturing Systems

2007

Dedicated manufacturing lines (DML), flexible manufacturing systems (FMS) and reconfigurable manufacturing systems (RMS) are, nowadays, the three production paradigms representing three ways of thinking and implementing production systems. Nevertheless, very few researches aim at clearly defining the convenience of such three manufacturing paradigms with regards to the market and competition characteristics in which the company plans to play. This chapter goes toward such a direction; in particular, an investment model for each kind of manufacturing system (DML, FMS, RMS) is proposed; these models are able to consider several market and competition issues such as product demand dynamic over…

Computer scienceInvestment Cost Flexible Manufacturing System Reconfigurable Manufacturing System Scope Economy Flexible MachineFlexible manufacturing systemReconfigurable Manufacturing SystemInvestment costSettore ING-IND/35 - Ingegneria Economico-GestionaleManufacturing systemsManufacturing engineering
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A hybrid virtual–boundary element formulation for heterogeneous materials

2021

Abstract In this work, a hybrid formulation based on the conjoined use of the recently developed Virtual Element Method (VEM) and the Boundary Element Method (BEM) is proposed for the effective computational analysis of multi-region domains, representative of heterogeneous materials. VEM has been recently developed as a generalisation of the Finite Element Method (FEM) and it allows the straightforward employment of elements of general polygonal shape, maintaining a high level of accuracy. For its inherent features, it allows the use of meshes of general topology, including non-convex elements. On the other hand, BEM is an effective technique for the numerical solution of sets of boundary i…

Computer scienceMechanical Engineering02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter PhysicsHomogenization (chemistry)Finite element methodComputational scienceMatrix (mathematics)020303 mechanical engineering & transports0203 mechanical engineeringMechanics of MaterialsConvergence (routing)Fibre-reinforced Composite MaterialsComputational Micro-mechanicsComputational HomogenizationContinuum Damage MechanicsVirtual Element MethodBoundary Element MethodGeneral Materials SciencePolygon meshSettore ING-IND/04 - Costruzioni E Strutture Aerospaziali0210 nano-technologyReduction (mathematics)Boundary element methodCivil and Structural EngineeringCurse of dimensionalityInternational Journal of Mechanical Sciences
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