Search results for "Ability"

showing 10 items of 18559 documents

Algorithmic Approach for Slot Filling Factors Determination in Electrical Machines

2018

In several industrial sectors, such as electric and hybrid traction, the demand for increasingly efficient and high power density electrical machines has grown considerably over the last few years. The improvement of slot filling factor of the electrical machines is an useful provision to satisfy this request. In particular, this topic has been the subject of interest for the industrial sector in recent years, since the technology of winding processes have evolved and allow an economically sustainable realization of windings with an ordered structure rather than randomly. The winding phase must be supported by an accurate design process in which it is possible to evaluate the maximum slot f…

0209 industrial biotechnologyOptimization AlgorithmComputer sciencemedicine.medical_treatmentMechanical engineeringFilling Factor OptimizationEnergy Engineering and Power Technology02 engineering and technologyHigh power density010501 environmental sciencesMagnetic wiresSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciences020901 industrial engineering & automationmedicineElectrical and Electronic Engineering0105 earth and related environmental sciencesMagnetic WireFilling factorRenewable Energy Sustainability and the EnvironmentSlot Filling factorSense (electronics)Traction (orthopedics)WindingElectromagnetic coilDesign processRealization (systems)
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2021

Classification approaches that allow to extract logical rules such as decision trees are often considered to be more interpretable than neural networks. Also, logical rules are comparatively easy to verify with any possible input. This is an important part in systems that aim to ensure correct operation of a given model. However, for high-dimensional input data such as images, the individual symbols, i.e. pixels, are not easily interpretable. Therefore, rule-based approaches are not typically used for this kind of high-dimensional data. We introduce the concept of first-order convolutional rules, which are logical rules that can be extracted using a convolutional neural network (CNN), and w…

0209 industrial biotechnologyPixelArtificial neural networkbusiness.industryComputer scienceDecision treePattern recognition02 engineering and technologyConvolutional neural network020901 industrial engineering & automationFilter (video)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingLocal search (optimization)Artificial intelligencebusinessInterpretabilityCurse of dimensionalityFrontiers in Artificial Intelligence
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Integrated WAAM-Subtractive Versus Pure Subtractive Manufacturing Approaches: An Energy Efficiency Comparison

2019

Over the last years, additive manufacturing (AM) has been gathering momentum both in the academic and in the industrial world. Besides the obvious benefits in terms of flexibility and process capabilities, the environmental performance of such processes has still to be properly analyzed. Actually, the advantages of additive manufacturing over conventional processes are not obvious. Indeed, different manufacturing approaches result in different amounts of involved material and in different processing energy demands. Environmental comparative analyses are hence crucial to properly characterize AM processes. In this paper, an energetic comparison between the emerging wire arc additive manufact…

0209 industrial biotechnologyPrimary energyAdditive manufacturingProcess (engineering)Computer science02 engineering and technologyIndustrial and Manufacturing Engineering020901 industrial engineering & automationMachiningAdditive manufacturing; Energy efficiency; Process comparisonManagement of Technology and InnovationComponent (UML)General Materials ScienceProcess engineeringSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneFlexibility (engineering)Subtractive colorRenewable Energy Sustainability and the Environmentbusiness.industryMechanical Engineering021001 nanoscience & nanotechnologyEnergy efficiencyProcess comparison0210 nano-technologybusinessEnergy (signal processing)Efficient energy useInternational Journal of Precision Engineering and Manufacturing-Green Technology
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A Meta-Model for Intelligent Engineering Design of Complex City

2019

A city is a complex system, requiring the input of multiple disciplines for its (re)design. It shares some properties of two kinds of objects: empirical objects as well as theoretical objects. As city emerges as a complex object for multi-disciplinary studies, it is of the highest importance to adopt a systemic and global approach in order to bring new knowledge to this field. To master the growing complexity of cities and to consider in the same spot heterogeneous ways of thinking of city, we need intellectual tools and models. The goal of this paper is to propose a model for describing engineering modelling knowledge with relationships and transformations between four domains: (1) citizen…

0209 industrial biotechnologyProcess (engineering)Computer scienceInterpretation (philosophy)0211 other engineering and technologiesComplex system02 engineering and technologyObject (computer science)Data scienceField (computer science)Metamodeling[SHS]Humanities and Social Sciences020901 industrial engineering & automationSmart city11. SustainabilityEngineering design processComputingMilieux_MISCELLANEOUS021106 design practice & management
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Diode laser welding of ABS: Experiments and process modeling

2009

International audience; The laser beam weldability of acrylonitrile/butadiene/styrene (ABS) plates is determined by combining both experimental and theoretical aspects. In modeling the process, an optical model is used to determine how the laser beam is attenuated by the first material and to obtain the laser beam profile at the interface. Using this information as the input data to a thermal model, the evolution of the temperature field within the two components can be estimated. The thermal model is based on the first principles of heat transfer and utilizes the temperature variation laws of material properties. Corroborating the numerical results with the experimental results, some impor…

0209 industrial biotechnologyProcess modelingMaterials scienceWeldabilityMechanical engineeringFOS: Physical sciences02 engineering and technologySemiconductor laser theory020901 industrial engineering & automationOptics[ PHYS.MECA.THER ] Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph]Semitransparent polymersElectrical and Electronic EngineeringDiodebusiness.industryACLLaser beam welding[CHIM.MATE]Chemical Sciences/Material chemistry021001 nanoscience & nanotechnology[ SPI.MECA.THER ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph]Atomic and Molecular Physics and OpticsExperimental designElectronic Optical and Magnetic Materials[ CHIM.MATE ] Chemical Sciences/Material chemistryHeat transfer[PHYS.MECA.THER]Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph][SPI.MECA.THER]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph]Laser welding0210 nano-technologyReduction (mathematics)Material propertiesbusinessPhysics - OpticsOptics (physics.optics)
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Darboux integrable system with a triple point and pseudo-abelian integrals

2016

We study pseudo-abelian integrals associated with polynomial perturbations of Dar-boux integrable system with a triple point. Under some assumptions we prove the local boundedness of the number of their zeros. Assuming that this is the only non-genericity, we prove that the number of zeros of the corresponding pseudo-abelian integrals is bounded uniformly for nearby Darboux integrable foliations.

0209 industrial biotechnologyPure mathematicsControl and OptimizationIntegrable systemTriple pointAbelian integrals[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]Darboux integrability[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Dynamical Systems (math.DS)02 engineering and technologyType (model theory)01 natural sciencesIntegrating factor020901 industrial engineering & automationFOS: MathematicsLimit Cycle0101 mathematicsAbelian groupMathematics - Dynamical Systems34C07 34C08MathematicsNumerical AnalysisAlgebra and Number Theory010102 general mathematicsMathematical analysisLimit cyclesMathematics Subject ClassificationControl and Systems EngineeringBounded functionFoliation (geology)
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A singular elliptic equation and a related functional

2021

We study a class of Dirichlet boundary value problems whose prototype is [see formula in PDF] where 0 < p < 1 and f belongs to a suitable Lebesgue space. The main features of this problem are the presence of a singular term |u|p−2u and a datum f which possibly changes its sign. We introduce a notion of solution in this singular setting and we prove an existence result for such a solution. The motivation of our notion of solution to problem above is due to a minimization problem for a non–differentiable functional on [see formula in PDF] whose formal Euler–Lagrange equation is an equation of that type. For nonnegative solutions a uniqueness result is obtained.

0209 industrial biotechnologyPure mathematicsControl and OptimizationSemilinear equation010102 general mathematicsSingular termExistence02 engineering and technologyType (model theory)01 natural sciencesDirichlet distributionComputational MathematicsElliptic curvesymbols.namesake020901 industrial engineering & automationControl and Systems EngineeringsymbolsStandard probability spaceBoundary value problemUniquenessSingularity at u = 0Uniqueness0101 mathematicsMathematicsSign (mathematics)
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Pipeline Monitoring Architecture Based on Observability and Controllability Analysis

2019

Recently many techniques with different applicability have been developed for damage detection in the pipeline. The pipeline system is designed as a distributed parameter system, where the state space of the distributed parameter system has infinite dimension. This paper is dedicated to the problem of observability as well as controllability analysis in the pipeline systems. Some theorems are presented in order to test the observability and controllability of the system. Computing the rank of the controllability and observability matrix is carried out using Matlab.

0209 industrial biotechnologyRank (linear algebra)Computer sciencePipeline (computing)020208 electrical & electronic engineering02 engineering and technologyPipeline transportControllability020901 industrial engineering & automationControl theoryDistributed parameter system0202 electrical engineering electronic engineering information engineeringState spaceObservabilityMATLABcomputercomputer.programming_language2019 IEEE International Conference on Mechatronics (ICM)
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Evaluation Framework for Analyzing the Applicability of Criteria Lists for the Selection of Requirements Management Tools Supporting Distributed Coll…

2016

Effective requirements management and enabling tools are critical for successfully developing and maintaining services and products. The identification and selection of an appropriate requirements management tool can be a costly, time-consuming, and error-prone undertaking especially in the context of software product line requirements management, requiring the tools to support both product and platform development activities that often involve geographically distributed, collaborating, and competing stakeholders. Criteria lists have been developed to facilitate the selection. This research (1) creates an evaluation framework to review the applicability of the lists for the selection of req…

0209 industrial biotechnologyRequirementBusiness requirementsComputer sciencesoftware managementSoftware requirements specification02 engineering and technologySoftware peer reviewApplication lifecycle management020901 industrial engineering & automationsoftware product lines0202 electrical engineering electronic engineering information engineeringSoftware requirementsformal verificationSoftware product lineRequirements analysisVision documentta113formal specificationsoftware toolsRequirements managementRequirements traceabilitybusiness.industrySoftware as a serviceSoftware developmenthallintajärjestelmät020207 software engineeringvaatimusmäärittelytdistributed collaborationMarket requirements documentRequirement prioritizationSoftware constructiontuotekehitysohjelmistoliiketoimintaSoftware engineeringbusinessSoftware project management2016 49th Hawaii International Conference on System Sciences (HICSS)
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Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

0209 industrial biotechnologyStochastic stabilityMathematical optimizationCollective behaviorTechnologyComputer sciencePopulationcontrol designcrowd-averse robust mean-field games state space extension dynamic agents linear stochastic differential equation Brownian motion adversarial disturbance cost functional cross-coupling mean-field term collective behavior stock market application production engineering example dynamic demand management problem robust mean-field game approximation error stochastic stability microscopic dynamics macroscopic dynamicscontrol engineering02 engineering and technology01 natural sciencesStochastic differential equationoptimal control020901 industrial engineering & automationQuadratic equationAutomation & Control SystemsEngineeringClosed loop systemsSettore ING-INF/04 - AutomaticaApproximation errorRobustness (computer science)Control theory0102 Applied MathematicsState space0101 mathematicsElectrical and Electronic EngineeringeducationBrownian motioneducation.field_of_studyScience & TechnologyStochastic process010102 general mathematicsRelaxation (iterative method)Engineering Electrical & ElectronicOptimal controlComputer Science Applications0906 Electrical and Electronic EngineeringIndustrial Engineering & AutomationMean field theoryControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa0913 Mechanical Engineering
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