Search results for "Statistics"

showing 10 items of 7671 documents

Parametric Hull Design with Rational Bézier Curves

2021

AbstractIn this paper, a tool able to support the sailing yacht designer during the early stage of the design process has been developed. Quadratic and cubic Rational Bézier curves have been selected to describe the main curves defining the hull of a sailing yacht. The adopted approach is based upon the definition of a set of parameters, say the length of water line, the beam of the waterline, canoe body draft and some dimensionless coefficients according to the traditional way of the yacht designer. Some geometrical constraints imposed on the curves (e.g. continuity, endpoint angles) have been conceived aimed to avoid unreasonable shapes. These curves can be imported in any commercial CAD …

0209 industrial biotechnologyEngineering drawingVisual BasicComputer science020101 civil engineeringBézier curve02 engineering and technologycomputer.software_genre0201 civil engineeringWaterlinesymbols.namesake020901 industrial engineering & automationQuadratic equationHullLine (geometry)symbolsComputer Aided Designcomputercomputer.programming_languageParametric statistics
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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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A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management

2016

Abstract Large wind farms are gaining prominence due to increasing dependence on renewable energy. In order to operate these wind farms reliably and efficiently, advanced maintenance strategies such as condition based maintenance are necessary. However, wind turbines pose unique challenges in terms of irregular load patterns, intermittent operation and harsh weather conditions, which have deterring effects on life of rotating machinery. This paper reviews the state-of-the-art in the area of diagnostics and prognostics pertaining to two critical failure prone components of wind turbines, namely, low-speed bearings and planetary gearboxes. The survey evaluates those methods that are applicabl…

0209 industrial biotechnologyEngineeringGearbox020209 energy02 engineering and technologyTurbineBearings; Diagnostics; Gearbox; Health management; Prognostics; Reliability centered maintenance; Wind turbines; Renewable Energy Sustainability and the Environment020901 industrial engineering & automationWind turbines0202 electrical engineering electronic engineering information engineeringForensic engineeringRenewable EnergyDiagnosticsPrognosticsReliability (statistics)Wind powerHealth management systemSustainability and the EnvironmentRenewable Energy Sustainability and the Environmentbusiness.industryCondition-based maintenanceReliability centered maintenanceRenewable energyReliability engineeringLow speedHealth managementPrognosticsbusinessBearings
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Learning of Cooperative Behaviour in Robot Populations

2016

This paper addresses convergence and equilibrium properties of game theoretic learning algorithms in robot populations using simple and broadly applicable reward/cost models of cooperation between robotic agents. New models for robot cooperation are proposed by combining regret based learning methods and network evolution models. Results of mean-field game theory are employed in order to show the asymptotic second moment boundedness in the variation of cooperative behaviour. The behaviour of the proposed models are tested in simulation results, which are based on sample networks and a single lane traffic flow case study.

0209 industrial biotechnologyEngineeringbusiness.industryRegretSample (statistics)02 engineering and technologyVariation (game tree)Traffic flowRobot kinematics Automobiles Service robots Convergence Games020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaSimple (abstract algebra)Convergence (routing)0202 electrical engineering electronic engineering information engineeringRobot020201 artificial intelligence & image processingArtificial intelligenceSettore MAT/09 - Ricerca OperativabusinessGame theory
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Power losses in power-split CVTs: A fast black-box approximate method

2018

Abstract This paper addresses the mechanical losses of planetary transmissions, with particular attention to power-split CVTs in their hybrid electric versions. It provides unified layout-independent analytical relationships, which can be used for both analysis, design and control purposes, and a simplified approach; the latter overcomes the necessity to segment the operating range of the power-split CVT in order to keep its loss model physically consistent. An example of application to a real hybrid electric PS-CVT is performed to show the simplicity, accuracy and generality of the proposed method.

0209 industrial biotechnologyGeneralityHybrid electric vehicleComputer scienceMechanical EngineeringPower split CVTBioengineeringComputer Science Applications1707 Computer Vision and Pattern Recognition02 engineering and technologyGM voltecSettore ING-IND/13 - Meccanica Applicata Alle MacchineComputer Science ApplicationsPower (physics)020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringPower splitMechanics of MaterialsControl theoryBlack boxSimplicity (photography)Range (statistics)Mechanics of MaterialPlanetary gearing losse
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George-Veeramani Fuzzy Metrics Revised

2018

In this note, we present an alternative approach to the concept of a fuzzy metric, calling it a revised fuzzy metric. In contrast to the traditional approach to the theory of fuzzy metric spaces which is based on the use of a t-norm, we proceed from a t-conorm in the definition of a revised fuzzy metric. Here, we restrict our study to the case of fuzzy metrics as they are defined by George-Veeramani, however, similar revision can be done also for some other approaches to the concept of a fuzzy metric.

0209 industrial biotechnologyLogicComputer scienceMathematics::General Mathematicst-norm02 engineering and technologyFuzzy logic<i>t</i>-norm020901 industrial engineering & automationGEORGE (programming language)0202 electrical engineering electronic engineering information engineeringt-conormMathematical PhysicsAlgebra and Number Theorybusiness.industrylcsh:MathematicsContrast (statistics)T-normlcsh:QA1-939Fuzzy metric spaceComputingMethodologies_PATTERNRECOGNITIONrestrictMetric (mathematics)<i>t</i>-conormfuzzy metric020201 artificial intelligence & image processingGeometry and TopologyArtificial intelligenceComputingMethodologies_GENERALbusinessAnalysisAxioms
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Adaptation, coordination, and local interactions via distributed approachability

2017

This paper investigates the relation between cooperation, competition, and local interactions in large distributed multi-agent\ud systems. The main contribution is the game-theoretic problem formulation and solution approach based on the new framework\ud of distributed approachability, and the study of the convergence properties of the resulting game model. Approachability\ud theory is the theory of two-player repeated games with vector payoffs, and distributed approachability is here presented for\ud the first time as an extension to the case where we have a team of agents cooperating against a team of adversaries under local\ud information and interaction structure. The game model turns i…

0209 industrial biotechnologyMarkov process02 engineering and technologyApproachability01 natural sciencesTerm (time)Repeated gamesApproachabilityDifferential gamesRobust controlNetwork flow010104 statistics & probabilityNonlinear systemsymbols.namesake020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaDifferential inclusionControl and Systems EngineeringConvergence (routing)symbolsRepeated gameTopological graph theorySettore MAT/09 - Ricerca Operativa0101 mathematicsElectrical and Electronic EngineeringMathematical economicsMathematicsAutomatica
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Real time UAV altitude, attitude and motion estimation from hybrid stereovision

2012

International audience; Knowledge of altitude, attitude and motion is essential for an Unmanned Aerial Vehicle during crit- ical maneuvers such as landing and take-off. In this paper we present a hybrid stereoscopic rig composed of a fisheye and a perspective camera for vision-based navigation. In contrast to classical stereoscopic systems based on feature matching, we propose methods which avoid matching between hybrid views. A plane-sweeping approach is proposed for estimating altitude and de- tecting the ground plane. Rotation and translation are then estimated by decoupling: the fisheye camera con- tributes to evaluating attitude, while the perspective camera contributes to estimating t…

0209 industrial biotechnologyMatching (statistics)Computer scienceUAVComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputerApplications_COMPUTERSINOTHERSYSTEMSStereoscopy02 engineering and technologyTranslation (geometry)law.inventionMotion020901 industrial engineering & automationArtificial IntelligenceInertial measurement unitlawMotion estimation0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Hybrid stereovisionComputer visionComputingMethodologies_COMPUTERGRAPHICSAltitude (triangle)business.industryAltitude[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Astrophysics::Instrumentation and Methods for AstrophysicsAttitude020201 artificial intelligence & image processingArtificial intelligencebusinessRotation (mathematics)Embedded CAutonomous Robots
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Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope

2019

This paper proposes a novel adaptive fuzzy super-twisting sliding mode control scheme for microgyroscopes with unknown model uncertainties and external disturbances. Firstly, an adaptive algorithm is used to estimate the unknown parameters and angular velocity of microgyroscopes. Secondly, in order to improve the performance of the system and the superiority of the super-twisting algorithm, this paper utilizes the universal approximation characteristic of the fuzzy system to approach the gain of the super-twisting sliding mode controller and identify the gain of the controller online, realizing the adaptive adjustment of the controller parameters. Simulation results verify the superiority a…

0209 industrial biotechnologyMultidisciplinaryArticle SubjectGeneral Computer ScienceAdaptive algorithmComputer science020208 electrical & electronic engineeringMode (statistics)Angular velocity02 engineering and technologyFuzzy control systemSliding mode controlFuzzy logiclcsh:QA75.5-76.95020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringlcsh:Electronic computers. Computer scienceComplexity
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Assembly Process Modeling Through Long Short-Term Memory

2021

This paper studies Long Short-Term Memory as a component of an adaptive assembly assistance system suggesting the next manufacturing step. The final goal is an assistive system able to help the inexperienced workers in their training stage or even experienced workers who prefer such support in their manufacturing activity. In contrast with the earlier analyzed context-based techniques, Long Short-Term Memory can be applied in unknown scenarios. The evaluation was performed on the data collected previously in an experiment with 68 participants assembling as target product a customizable modular tablet. We are interested in identifying the most accurate method of next assembly step prediction…

0209 industrial biotechnologyProcess modelingComputer sciencebusiness.industryContrast (statistics)Context (language use)02 engineering and technologyModular designMachine learningcomputer.software_genreLong short term memory020901 industrial engineering & automationComponent (UML)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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