Search results for " Civil"

showing 10 items of 2482 documents

Deep CNN for IIF Images Classification in Autoimmune Diagnostics

2019

The diagnosis and monitoring of autoimmune diseases are very important problem in medicine. The most used test for this purpose is the antinuclear antibody (ANA) test. An indirect immunofluorescence (IIF) test performed by Human Epithelial type 2 (HEp-2) cells as substrate antigen is the most common methods to determine ANA. In this paper we present an automatic HEp-2 specimen system based on a convolutional neural network method able to classify IIF images. The system consists of a module for features extraction based on a pre-trained AlexNet network and a classification phase for the cell-pattern association using six support vector machines and a k-nearest neighbors classifier. The class…

Computer science02 engineering and technologyConvolutional neural networklcsh:TechnologyIIF imageAlexNetlcsh:Chemistry03 medical and health sciencesconvolutional neural networks (CNNs)Autoimmune diseaseClassifier (linguistics)0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceautoimmune diseasesInstrumentationlcsh:QH301-705.5030304 developmental biologyIIF imagesFluid Flow and Transfer Processes0303 health sciencesDeep cnnIndirect immunofluorescenceaccuracybusiness.industrylcsh:TProcess Chemistry and Technologyk-nearest neighbors (KNN)General EngineeringPattern recognitionIIfClass (biology)lcsh:QC1-999Computer Science ApplicationsSupport vector machinelcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040System parameters020201 artificial intelligence & image processingsupport vector machine (SVM)Artificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsApplied Sciences
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A Damage Identification Approach for Offshore Jacket Platforms Using Partial Modal Results and Artificial Neural Networks

2018

This paper presents a damage identification method for offshore jacket platforms using partially measured modal results and based on artificial intelligence neural networks. Damage identification indices are first proposed combining information of six modal results and natural frequencies. Then, finite element models are established, and damages in structural members are assumed by reducing the structural elastic modulus. From the finite element analysis for a training sample, both the damage identification indices and the damages are obtained, and neural networks are trained. These trained networks are further tested and used for damage prediction of structural members. The calculation res…

Computer science020101 civil engineering02 engineering and technologylcsh:Technology0201 civil engineeringWaterlinejacket platformlcsh:Chemistrysymbols.namesake0203 mechanical engineeringGeneral Materials Sciencenatural frequenciesInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesdamage identification indexfinite element modelArtificial neural networkbusiness.industrylcsh:TProcess Chemistry and Technologymodal shapesGeneral EngineeringStructural engineeringFinite element methodlcsh:QC1-999Computer Science ApplicationsIdentification (information)020303 mechanical engineering & transportsModallcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040symbolsSubmarine pipelinebusinesslcsh:Engineering (General). Civil engineering (General)artificial neural networkslcsh:Physics
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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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Numerical and experimental analysis of a high innovative hydrofoil

2020

The hydrofoil is a craft where the weight is entirely supported by the lift generated by the submerged part of wings. The particular structure of the craft requires a thorough study of the architecture of the hull, whose structure differs from others high speed vessels since the lift on wing surfaces are transmitted to the hull in limited areas (wing attacks). The authors have developed a research to optimize geometry of hull and wing system on a hydrofoil capable to carry 250 passengers at a speed of 35 knots, operating among Sicilian island. The principal goals of the new hydrofoil concern both the fuel reduction that the improvement of the comfort in terms of seakeeping and levels of aco…

Computer science020101 civil engineeringThrust02 engineering and technologySeakeepingIndustrial and Manufacturing Engineering0201 civil engineering0203 mechanical engineeringHullSettore ING-IND/17 - Impianti Industriali MeccaniciTowing tankTakeoffSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeSettore ING-IND/01 - Architettura NavaleTowingWingExperimental analysisExperimental analysiHydrofoil Towing tank Experimental analysis Economic assessmentVibrationLift (force)020303 mechanical engineering & transportsEconomic assessmentModeling and SimulationHydrofoilMarine engineering
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A review of thermochemical energy storage systems for power grid support

2020

Power systems in the future are expected to be characterized by an increasing penetration of renewable energy sources systems. To achieve the ambitious goals of the “clean energy transition”, energy storage is a key factor, needed in power system design and operation as well as power-to-heat, allowing more flexibility linking the power networks and the heating/cooling demands. Thermochemical systems coupled to power-to-heat are receiving an increasing attention due to their better performance in comparison with sensible and latent heat storage technologies, in particular, in terms of storage time dynamics and energy density. In this work, a comprehensive review of the state of art of theore…

Computer science020209 energyPower-to-heat02 engineering and technologyThermal energy storagelcsh:TechnologyEnergy storagelcsh:ChemistryElectric power systemLoad managementVariable renewable energy0202 electrical engineering electronic engineering information engineeringGeneral Materials SciencePower grid supportProcess engineeringThermochemical storageInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer ProcessesFlexibility (engineering)Settore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industrylcsh:TProcess Chemistry and TechnologyGeneral Engineering021001 nanoscience & nanotechnologylcsh:QC1-999Computer Science ApplicationsRenewable energythermochemical storage sorption heat storage power-to-heat power grid supportlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040System integration0210 nano-technologybusinesslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsSorption heat storage
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Effect of Demand Side Management on the Operation of PV-Integrated Distribution Systems

2020

In this new era of high electrical energy dependency, electrical energy must be abundant and reliable, thus smart grids are conducted to deliver load demands. Hence, smart grids are implemented alongside distributed generation of renewable energies to increase the reliability and controllability of the grid, but, with the very volatile nature of the Distributed Generation (DG), Demand Side Management (DSM) helps monitor and control the load shape of the consumed power. The interaction of DSM with the grid provides a wide range of mutual benefits to the user, the utility and the market. DSM methodologies such as Conservation Voltage Reduction (CVR) and Direct Load Control (DLC) collaborate i…

Computer science020209 energyReliability (computer networking)conservation voltage reductiondistribution systems02 engineering and technologylcsh:TechnologyReduction (complexity)lcsh:Chemistry0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceInstrumentationlcsh:QH301-705.5distribution systemFluid Flow and Transfer Processesdistributed generationdemand side managementVoltage reductionbusiness.industrylcsh:TProcess Chemistry and Technology020208 electrical & electronic engineeringPhotovoltaic systemGeneral Engineeringdirect load controlGridlcsh:QC1-999Computer Science ApplicationsReliability engineeringRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSmart gridlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Distributed generationbusinesslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsApplied Sciences
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Constructive Optimization of Vulcanization Installations in Order to Improve the Performance of Conveyor Belts

2019

Conveyor belts of special importance must have superior mechanical characteristics. The joining by vulcanization of the conveyor belts allows to obtain superior performances, but it has been found that at the vulcanizing joint of the conveyor belts, there is a &ldquo

Computer science020209 energyfinite element methodMechanical engineering02 engineering and technologylcsh:TechnologyConstructiveArticlelaw.inventionconstructive optimizationjointingNatural rubberlaw0502 economics and business0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencelcsh:Microscopylcsh:QC120-168.85050210 logistics & transportationInsert (composites)lcsh:QH201-278.5lcsh:T“bell”-type defect05 social sciencesVulcanizationconveyor beltsFinite element methodStiffeninglcsh:TA1-2040visual_artvisual_art.visual_art_mediumlcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Materials
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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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Quantitative assessment of the parameters linked to the blending between reclaimed asphalt binder and recycling agent: A literature review

2020

Abstract The lack of understanding the mechanisms governing the interaction between reclaimed asphalt binder (RAb) 1 and recycling agents is one of the technical issues that still need to be resolved when high amount of reclaimed asphalt (RA) 2 is used in a new recycled asphalt mixture (RAM). Due to important role of RAb in that interaction and increased used of RA, it becomes necessary to have a way to classify RA, as any other material used in asphalt mixture production. It is very important to determine how much RAb is active by itself (DoA) 3 , but also to determine how much RAb can be considered available for a mix design of RAM (DoAv) 4 when a recycling agent is used. Finally, since t…

Computer science0211 other engineering and technologies020101 civil engineering02 engineering and technologyMix designReclaimed asphalt pavement12. Responsible consumption0201 civil engineeringAsphalt pavementWarm mix asphalt021105 building & constructionQuantitative assessmentDegree of binder activityGeneral Materials ScienceProcess engineeringDegree of binder availabilityDegree of blendingCivil and Structural EngineeringDegree of binder activity; Degree of binder availability; Degree of blending; Hot mix asphalt; Reclaimed asphalt pavement; Recycled asphalt mixture; Warm mix asphaltRecycled asphalt mixturebusiness.industryBuilding and ConstructionHot mix asphaltAsphaltbusiness
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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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