Search results for " model"

showing 10 items of 16868 documents

Collaboration and Decision-Making in Context

2016

The goal of this chapter is to provide a historical account of the evolutions in the domain of the book and to set the stage for the concepts and solutions to be presented in the following chapters, including the introduction of the terminology adopted to be used throughout this text. Consequently, we aim at providing the answers to a series of questions, such as: (a) “How the organizations have been evolving over the last decades?”, (b) “Which have been the corresponding trends of the management and control schemes?”, (c) “How management and control functions are allocated to human and automation equipment?”, (d) “Which are the desirable properties of the information processing tools meant…

0209 industrial biotechnologyDecision support systemProcess managementComputer sciencebusiness.industry010401 analytical chemistryControl (management)Information processingContext (language use)02 engineering and technology01 natural sciencesAutomation0104 chemical sciencesTerminology020901 industrial engineering & automationSection (archaeology)businessDecision model
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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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Generative Design for Additively Manufactured Textiles in Orthopaedic Applications

2021

AbstractThe aim of this work is to implement a new process for the design and production of orthopaedic devices to realize entirely by Additive Manufacturing (AM). In particular, a generative algorithm for parametric modelling of flexible structures to use in orthopaedic devices has been developed. The developed modelling algorithm has been applied to a case study based on the design and production of a customized elbow orthosis made by Selective Laser Sintering. The results obtained have demonstrated that the developed algorithm overcomes many drawbacks typical of traditional CAD modelling approaches. FEM simulations have been also performed to validate the design of the orthosis. The new …

0209 industrial biotechnologyEngineering drawingElbow orthosiComputer scienceProcess (engineering)Additive ManufacturingGenerative algorithmsCADAdditively manufactured textile02 engineering and technology01 natural sciences0104 chemical scienceslaw.invention010404 medicinal & biomolecular chemistrySelective laser sintering020901 industrial engineering & automationlawParametric modellingCAD modellingElbow orthosisGenerative DesignSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeParametric cadFem simulations
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Towards criteria for sustainable process selection: On the modelling of pure subtractive versus additive/subtractive integrated manufacturing approac…

2017

Additive Manufacturing (AM) processes can be counted among the disruptive technologies that are capable of transforming conventional manufacturing routes. The ability to create complex geometries, the reduction in material scraps during manufacturing, and the light-weighting due to the think-additive redesign of the components represent the main points of strength of AM. However, for some applications (such as the production of metal components for the automotive and aerospace industries), the surface finishing and dimensional/geometrical part tolerancing that can be achieved via AM processes might not be adequate to satisfy the imposed product specifications, and finish machining operation…

0209 industrial biotechnologyEngineeringAdditive manufacturing; CNC machining; Metal component; Modelling; Sustainable manufacturing; Renewable Energy Sustainability and the Environment; 2300; Strategy and Management; 1409; Tourism Leisure and Hospitality Management; Industrial and Manufacturing EngineeringAdditive manufacturingProcess (engineering)Strategy and ManagementSustainable manufacturingAutomotive industryContext (language use)02 engineering and technology010501 environmental sciencesMetal component01 natural sciencesModellingIndustrial and Manufacturing EngineeringTourismCNC machining020901 industrial engineering & automationMachiningComputer-integrated manufacturingAdvanced manufacturingRenewable Energy1409Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSustainable manufacturing Modelling Additive manufacturing CNC machining Metal component0105 earth and related environmental sciencesGeneral Environmental ScienceProduct design specificationSustainability and the Environment2300Renewable Energy Sustainability and the Environmentbusiness.industryLeisure and Hospitality ManagementBuilding and ConstructionManufacturing engineeringNumerical controlbusinessJournal of Cleaner Production
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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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Enhancing tracking performance in a smartphone-based navigation system for visually impaired people

2016

In this paper we show how to enhance the tracking performance of Arianna, a low-cost augmented reality system designed to meet the needs of people with problems of orientation, people with sight impairment and blind people. For augmented reality system we mean the design of: i) a set of paths and tags to be deployed in the environment, realized in various ways depending on the context (decorative elements easily identifiable, colorful stripes, QR code, RFID, etc.); ii) an instrument of mediation between the reality and the user (typically a smartphone) to access the information disseminated in the environment by means of a camera and provide a vibration feedback signal to the users for foll…

0209 industrial biotechnologyEngineeringControl and OptimizationOptical flowContext (language use)02 engineering and technologycyber-physical systemscyber-physical systemoptical flow020901 industrial engineering & automationassistive technology0202 electrical engineering electronic engineering information engineeringComputer visionSet (psychology)Settore ING-INF/03 - Telecomunicazionibusiness.industryOrientation (computer vision)Cyber-physical systemNavigation systemfilteringSightassistive technology; cyber-physical systems; filtering; navigation system; optical flow; vibration; Control and Systems Engineering; Control and Optimization; Modeling and SimulationAssistive technologyControl and Systems EngineeringModeling and Simulationnavigation system020201 artificial intelligence & image processingAugmented realityArtificial intelligencevibrationbusiness2016 24th Mediterranean Conference on Control and Automation (MED)
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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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Assessment of material models through simple machining tests

2008

The accuracy of the results obtained from FEM simulation of machining operations depends on the accuracy of input data. Among these, the flow stress data of the workpiece are extremely important together with the friction along the tool-chip interface. In this study, an identification procedure for the determination of material parameters that are used for the FEM simulation of machining processes is proposed. The procedure is based on the coupling of a numerical identification procedure and Arbitrarian Lagrangian Eulerian (ALE) Finite Element simulations of turning operations. An experimental campaign was developed in order to calibrate the model and to validate the procedure. The basic id…

0209 industrial biotechnologyEngineeringInterface (computing)Mechanical engineeringComputational intelligence02 engineering and technologymaterial modelsFlow stressFinite Element Simulation[SPI]Engineering Sciences [physics]020901 industrial engineering & automation0203 mechanical engineeringMachiningmodelling of machiningGeneral Materials ScienceSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMaterial modellingInverse ApproachCouplingbusiness.industryProcess (computing)MachiningFinite element methodIdentification (information)020303 mechanical engineering & transportsbusinessInternational Journal of Material Forming
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Modelling and Simulation of Machining Processes and Operations

2008

This chapter provides the state-of-the-art knowledge engineering and modelling techniques applied in manufacturing/machining and overviews future trends observed at a global scale. Modelling methods for machining processes and operations are classified. The chapter also highlights the multiple tasks of modelling and simulation in modern machining/manufacturing systems. The most popular techniques of numerical simulation including finite difference method and finite element method (FEM) related to mechanical and thermal problems arising in machining processes are described. Practical examples of FE models of various metal cutting operations and their importance in modern manufacturing are pr…

0209 industrial biotechnologyEngineeringMaterials scienceComputer simulationbusiness.industryScale (chemistry)Knowledge engineeringFinite difference methodMechanical engineering02 engineering and technologyFinite element method020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringMachiningModelling methodsFe modelbusiness
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Data-based modeling and estimation of vehicle crash processes in frontal fixed-barrier crashes

2017

Abstract As a complex process, vehicle crash is challenging to be described and estimated mathematically. Although different mathematical models are developed, it is still difficult to balance the complexity of models and the performance of estimation. The aim of this work is to propose a novel scheme to model and estimate the processes of vehicle-barrier frontal crashes. In this work, a piecewise model structure is predefined to represent the accelerations of vehicle in frontal crashes. Each segment in the model is corresponding to the energy absorbing component in the crashworthiness structure. With the help of Ensemble Empirical Mode Decomposition (EEMD), a robust scheme is proposed for …

0209 industrial biotechnologyEngineeringSignal processingMathematical modelComputer Networks and Communicationsbusiness.industryApplied MathematicsCrash02 engineering and technologyControl and Systems Engineering; Signal Processing; Computer Networks and Communications; Applied MathematicsFinite element methodHilbert–Huang transform020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringControl and Systems EngineeringComponent (UML)Signal ProcessingPiecewiseCrashworthinessbusinessAlgorithmSimulationJournal of the Franklin Institute
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