Search results for "ict"

showing 10 items of 7961 documents

Robust link prediction in criminal networks: A case study of the Sicilian Mafia

2020

Abstract Link prediction exercises may prove particularly challenging with noisy and incomplete networks, such as criminal networks. Also, the link prediction effectiveness may vary across different relations within a social group. We address these issues by assessing the performance of different link prediction algorithms on a mafia organization. The analysis relies on an original dataset manually extracted from the judicial documents of operation “Montagna”, conducted by the Italian law enforcement agencies against individuals affiliated with the Sicilian Mafia. To run our analysis, we extracted two networks: one including meetings and one recording telephone calls among suspects, respect…

0209 industrial biotechnologyComputer scienceSettore SPS/12 - SOCIOLOGIA GIURIDICA DELLA DEVIANZA E MUTAMENTO SOCIALENetwork science02 engineering and technologyMachine learningcomputer.software_genreCriminal networksSocial groupSocial network analysis020901 industrial engineering & automationArtificial IntelligenceLink prediction in uncertain graphs0202 electrical engineering electronic engineering information engineeringLink (knot theory)Settore INF/01 - Informaticabusiness.industryGeneral EngineeringLaw enforcementCriminal networks; Link prediction in uncertain graphs; Network science; Social network analysisSettore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI16. Peace & justicelanguage.human_languageComputer Science ApplicationslanguageTopological graph theory020201 artificial intelligence & image processingArtificial intelligencebusinessSiciliancomputerExpert Systems with Applications
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Assembly Assistance System with Decision Trees and Ensemble Learning

2021

This paper presents different prediction methods based on decision tree and ensemble learning to suggest possible next assembly steps. The predictor is designed to be a component of a sensor-based assembly assistance system whose goal is to provide support via adaptive instructions, considering the assembly progress and, in the future, the estimation of user emotions during training. The assembly assistance station supports inexperienced manufacturing workers, but it can be useful in assisting experienced workers, too. The proposed predictors are evaluated on the data collected in experiments involving both trainees and manufacturing workers, as well as on a mixed dataset, and are compared …

0209 industrial biotechnologyDecision support systemComputer scienceDecision treetraining stations02 engineering and technologyTP1-1185Machine learningcomputer.software_genreBiochemistryArticleAnalytical Chemistry020901 industrial engineering & automationPrediction methodsComponent (UML)decision tree0202 electrical engineering electronic engineering information engineeringassembly assistance systemsElectrical and Electronic EngineeringInstrumentationbusiness.industryChemical technologyNoveltyContrast (statistics)Ensemble learningAtomic and Molecular Physics and Opticsensemble learning020201 artificial intelligence & image processingSupport systemArtificial intelligencebusinesscomputerdecision support systemsSensors
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Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

2018

International audience; Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A standardized representation for BN models will aid in their communication and exchange across the web. This article presents an extension to the predictive model markup language (PMML) standard for the representation of a BN, which may consist of discrete variables, continuous variables, or their combination. The PMML standard is based on extensible markup language (XML) and used for the representation of analytical models…

0209 industrial biotechnologyDesignComputer sciencecomputer.internet_protocol02 engineering and technologycomputer.software_genreBayesian inferenceIndustrial and Manufacturing EngineeringArticle[SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineeringanalyticsUncertainty quantificationMonte-Carlouncertaintycomputer.programming_languageParsingBayesian networkInformationSystems_DATABASEMANAGEMENTstandardPython (programming language)XMLComputer Science ApplicationsmanufacturingComputingMethodologies_PATTERNRECOGNITIONBayesian networksControl and Systems EngineeringSurface-RoughnessData analysisPredictive Model Markup Language020201 artificial intelligence & image processingData miningcomputerXML
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Weld quality prediction in linear friction welding of AA6082-T6 through an integrated numerical tool

2016

Abstract A numerical and an experimental campaign were carried out with varying oscillation frequency and interface pressure. The local values of the main field variables at the contact interface between the specimens were predicted by a Lagrangian, implicit, thermo-mechanical FEM model and used as input of a dedicated Neural Network (NN). The NN, integrated in the FEM environment, was designed in order to calculate both a Boolean output, indicating the occurrence of welding, and a continuous output, indicating the quality of the obtained solid state weld. The analysis of the obtained results allowed three different levels of bonding quality, i.e., no weld, sound weld and excess of heat, to…

0209 industrial biotechnologyEngineeringAluminum alloyField (physics)Interface (computing)Neural Network02 engineering and technologyWeldingIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationQuality (physics)lawFriction weldingSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneFEMArtificial neural networkbusiness.industryOscillationMetals and AlloysStructural engineering021001 nanoscience & nanotechnologyFinite element methodComputer Science ApplicationsModeling and SimulationCeramics and CompositesLinear Friction Welding0210 nano-technologybusiness
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Neural modelling of friction material cold performance

2008

The complex and highly non-linear phenomena involved during braking are primarily caused by friction materials’ characteristics. The final friction materials' characteristics are determined by their compositions, manufacturing, and the brake's operating conditions. Analytical models of friction materials' behaviour are difficult, even impossible, to obtain for the case of different brakes' operating conditions. That is why, in this paper, all relevant influences on the friction materials' cold performance have been integrated by means of artificial neural networks. The influences of 26 input parameters, defined by the friction materials' composition (18 ingredients), manufacturing (five pa…

0209 industrial biotechnologyEngineeringArtificial neural networkBar (music)business.industryMechanical EngineeringAerospace Engineering02 engineering and technology020303 mechanical engineering & transports020901 industrial engineering & automationneural modelling friction material cold performance0203 mechanical engineeringControl theoryBrakeRange (statistics)businessSimulationProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
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Effect of the mutual position between weld seam and reinforcement on the residual stress distribution in Friction Stir Welding of AA6082 skin and str…

2016

Abstract In the paper, a numerical and experimental study was carried out to highlight the effect of the distance d between the weld seam and the reinforcement on the residual stress distribution in Friction Stir Welded AA6082-T6 structures. An L-shaped profile was welded to a sheet metal with varying tool rotation and distance d from the weld seam. The Cut Compliance method was used to determine the resulting longitudinal residual stress. A dedicated FE model for FSW was set up, validated and utilized to predict the longitudinal residual stress in the assembled part. The analysis allowed the identification of a few design guidelines in order to reduce the detrimental effects of the residua…

0209 industrial biotechnologyEngineeringFriction Stir WeldingResidual stre02 engineering and technologyWeldingRotationlaw.inventionWeld seam020901 industrial engineering & automation0203 mechanical engineeringStringerlawResidual stressSkin and stringerFriction stir weldingReinforcementSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneCivil and Structural EngineeringCut compliancebusiness.industryMechanical EngineeringStructural engineeringBuilding and Construction020303 mechanical engineering & transportsvisual_artvisual_art.visual_art_mediumSheet metalbusinessFE analysi
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Opportunities for the Use of Business Data Analysis Technologies

2016

Abstract The paper analyses the business data analysis technologies, provides their classification and considers relevant terminology. The feasibility of business data analysis technologies handling big data sources is overviewed. The paper shows the results of examination of the online big data source analytics technologies, data mining and predictive modelling technologies and their trends.

0209 industrial biotechnologyEngineeringHF5001-6182Big dataonline analytical processing02 engineering and technologyAnalytics platformsbusiness intelligenceTerminologyBusiness data020901 industrial engineering & automationBusiness analytics0502 economics and businessanalytics platformsBusinessHB71-74business.industryManagement scienceOnline analytical processing05 social sciencesbusiness analyticsdata miningpredictive modelling.Data scienceEconomics as a scienceAnalyticsBusiness intelligencebusinesspredictive modelling050203 business & managementPredictive modelling
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SHEAR COMPLIANCE AND SELF WEIGHT EFFECTS ON TRACTION BELT MECHANICS

2007

The transverse elastic deflection of a traction belt along the free span depends mainly on the flexural stiffness, but may be significantly influenced by the distributed weight and the shear compliance, which affect together the width of the arc of contact. In particular, the shear compliance yields a virtual decrease of the flexural stiffness, flattens the free span and increases the wound regions, to the advantage of the transmissible torque. Moreover, the tensioning of a given belt may be somewhat larger, in comparison with the ideal circular-straight path with the same centre distance, because of the increased length of the deflected belt trajectory due to gravity. The present paper ad…

0209 industrial biotechnologyEngineeringbusiness.industryMechanical EngineeringBelt frictionFlexural rigidity02 engineering and technologyMechanicsStructural engineeringBelt driveWKB approximationTransverse plane020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringShear (geology)Deflection (engineering)Torquebusiness
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On break-away forces in actuated motion systems with nonlinear friction

2017

The phenomenon of so-called break-away forces, as maximal actuation forces at which a sticking system begins to slide and thus passes over to a steady (macro) motion, is well known from engineering practice but still less understood in its cause-effect relationship. This note analyzes the break-away behavior of systems with nonlinear friction, which is analytically well-described by combining the Coulomb friction law with rate-independent presliding transitions and, when necessary, Stribeck effect of the velocity-weakening steady-state curve. The break-away conditions are harmonized with analytic form of the system description and shown to be in accord with a relationship between the varyin…

0209 industrial biotechnologyEngineeringbusiness.industryMechanical EngineeringMotion (geometry)Observable02 engineering and technologySystems and Control (eess.SY)Coulomb frictionComputer Science ApplicationsContact forceNonlinear systemHysteresis020303 mechanical engineering & transports020901 industrial engineering & automationClassical mechanics0203 mechanical engineeringControl and Systems EngineeringFOS: Electrical engineering electronic engineering information engineeringComputer Science - Systems and ControlElectrical and Electronic EngineeringMacrobusinessConservative forceMechatronics
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Process mechanics in Friction Stir Extrusion of magnesium alloys chips through experiments and numerical simulation

2017

Abstract Friction Stir Extrusion (FSE) is a novel process designed to directly recycle machining chips. An experimental campaign was carried out on AZ31 milling chips using variations in extrusion ratio, force and tool rotation rate. The process mechanics were studied and correlated to the material flow, which was elucidated through use of a copper marker. A 3D, Lagrangian, thermo-mechanically coupled dedicated numerical model was set up and validated through temperature measurements. The combination of experimental and numerical results permitted to reconstruct the complex 3D material flow induced by tool rotation and plunge into the extrusion billet chamber.

0209 industrial biotechnologyFEMMaterials scienceComputer simulationStrategy and ManagementProcess (computing)Mechanical engineering02 engineering and technologyMechanicsFriction Stir ExtrusionManagement Science and Operations Research021001 nanoscience & nanotechnologyRotationTemperature measurementFinite element methodIndustrial and Manufacturing EngineeringMaterial flowStrategy and Management1409 Tourism Leisure and Hospitality Management020901 industrial engineering & automationMachiningExtrusionRecycling0210 nano-technologySettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMagnesium alloy
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