Search results for "Method"

showing 10 items of 13253 documents

Through-transmission laser welding of polymers – temperature field modeling and infrared investigation

2007

The purpose of the present study is to estimate the weldability of a polymeric material couple according to their thermal and optical properties. A first model based on Mie theory and Monte Carlo method describes the laser beam behavior in semi-transparent media and makes it possible to approximate the laser power distribution at the interface of the two materials. A second model based on finite element method permits the temperature field estimation into both parts to be welded. The results are validated by infrared thermography.

0209 industrial biotechnologyMaterials sciencebusiness.industryMie scatteringMonte Carlo methodWeldabilityLaser beam welding02 engineering and technologyWelding021001 nanoscience & nanotechnologyCondensed Matter PhysicsAtomic and Molecular Physics and OpticsFinite element methodElectronic Optical and Magnetic Materialslaw.invention020901 industrial engineering & automationOpticslawThermographyLaser power scaling0210 nano-technologybusinessInfrared Physics & Technology
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A Methodology for Modeling and Optimizing Social Systems

2020

[EN] A system methodology for modeling and optimizing social systems is presented. It allows constructing dynamical models formulated stochastically, i.e., their results are given by confidence intervals. The models provide optimal intervention ways to reach the stated objectives. Two optimization methods are used: (1) to test strategies and scenarios and (2) to optimize with a genetic algorithm. The application case presented is a small nonformal education Spanish business. First, the model is validated in the 2008-2012 period, and subsequently, the optimal way to obtain a maximum profit in the 2013-2025 period is obtained using the two methods.

0209 industrial biotechnologyMathematical optimizationComputer scienceStochastic modellingEconomical model02 engineering and technologyConfidence intervalSocial systems020901 industrial engineering & automationStochastic modelGenetic algorithmArtificial IntelligenceSocial systemGenetic algorithm0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSystem methodologySensitivity analysisMATEMATICA APLICADASoftwareSimulationStrategies and scenariosInformation Systems
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A decomposition approach to dual shuttle automated storage and retrieval systems

2016

[EN] Automated Storage and Retrieval Systems (AS/RS) have become vital in today¿s distribution and production environments, however it remains necessary to equip them with more efficient operational control policies. Motivated by real situations encountered by companies employing AS/RS, the present paper studies a miniload AS/RS system, with a dual shuttle crane in which a set of storage and retrieval requests must be scheduled such that the prioritized waiting time is minimized. Dual shuttle cranes have received minimal academic attention and thus continue to pose new problems that must be solved. The miniload AS/RS problem is addressed by decomposing it into a location assignment and sequ…

0209 industrial biotechnologyMathematical optimizationGeneral Computer ScienceComputer scienceESTADISTICA E INVESTIGACION OPERATIVA0211 other engineering and technologiesLogistics02 engineering and technologyAutomated storage and retrieval systemsSet (abstract data type)Dual shuttle020901 industrial engineering & automationDecomposition (computer science)HeuristicsMetaheuristicDecomposition021103 operations researchBranch and boundHeuristicControl policiesGeneral EngineeringWarehouseDual (category theory)Decomposition method (constraint satisfaction)HeuristicsComputers & Industrial Engineering
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Decomposition and Mean-Field Approach to Mixed Integer Optimal Compensation Problems

2016

Mixed integer optimal compensation deals with optimization problems with integer- and real-valued control variables to compensate disturbances in dynamic systems. The mixed integer nature of controls could lead to intractability in problems of large dimensions. To address this challenge, we introduce a decomposition method which turns the original n-dimensional optimization problem into n independent scalar problems of lot sizing form. Each of these problems can be viewed as a two-player zero-sum game, which introduces some element of conservatism. Each scalar problem is then reformulated as a shortest path one and solved through linear programming over a receding horizon, a step that mirro…

0209 industrial biotechnologyMathematical optimizationSpecial ordered setOptimization problemControl and OptimizationLinear programmingBranch and priceApplied Mathematics010102 general mathematics02 engineering and technologyManagement Science and Operations ResearchOptimal control01 natural sciencesOptimal controlMixed integer optimization020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaShortest path problemMean-field gameDecomposition method (constraint satisfaction)0101 mathematicsSettore MAT/09 - Ricerca OperativaMean-field games; Optimal control; Mixed integer optimizationInteger programmingMathematics
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JOINT TOPOLOGY LEARNING AND GRAPH SIGNAL RECOVERY VIA KALMAN FILTER IN CAUSAL DATA PROCESSES

2018

In this paper, a joint graph-signal recovery approach is investigated when we have a set of noisy graph signals generated based on a causal graph process. By leveraging the Kalman filter framework, a three steps iterative algorithm is utilized to predict and update signal estimation as well as graph topology learning, called Topological Kalman Filter or TKF. Similar to the regular Kalman filter, we first predict the a posterior signal state based on the prior available data and then this prediction is updated and corrected based on the recently arrived measurement. But contrary to the conventional Kalman filter algorithm, we have no information of the transition matrix and hence we relate t…

0209 industrial biotechnologyMean squared errorIterative methodComputer scienceStochastic matrixInference020206 networking & telecommunications02 engineering and technologyKalman filterTopology020901 industrial engineering & automationSignal recovery0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Topological graph theory2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
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Fast Earth Mover's Distance Computation for Catadioptric Image Sequences

2016

International audience; Earth mover's distance is one of the most effective metric for comparing histograms in various image retrieval applications. The main drawback is its computational complexity which hinders its usage in various comparison tasks. We propose fast earth mover's distance computation by providing better initialization to the transportation simplex algorithm. The new approach enables faster EMD computation in Visual Memory (VM) compared to the state of the art methods. The new proposed strategy computes earth mover distance without compromising its accuracy.

0209 industrial biotechnologyMoments[ INFO ] Computer Science [cs]Computational complexity theory[SPI] Engineering Sciences [physics]VisionComputationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInitialization02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO] Computer Science [cs]Catadioptric system[SPI]Engineering Sciences [physics]020901 industrial engineering & automationEarth Mover's DistanceSimplex algorithmVisual servoing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Computer vision[INFO]Computer Science [cs]Image retrieval[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsbusiness.industry[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsVisual MemoryLocalizationMetric (mathematics)020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingEarth mover's distance
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Buckling and post-buckling analysis of cracked stiffened panels via an X-Ritz method

2019

Abstract A multi-domain eXtended Ritz formulation, called X-Ritz, for the analysis of buckling and post-buckling of stiffened panels with cracks is presented. The theoretical framework is based on the First-order Shear Deformation Theory and accounts for von Karman's geometric nonlinearities. The structure is modeled as assembly of plate elements. Penalty techniques are used to fulfill the continuity condition along the edges of contiguous elements and to satisfy essential boundary conditions requirements. The use of an extended set of approximating functions allows to model through-the-thickness cracks and to capture the crack opening and tip singular fields as well as the structural behav…

0209 industrial biotechnologyPost-bucklingShear deformation theoryStructure (category theory)Aerospace Engineering02 engineering and technology01 natural sciences010305 fluids & plasmasRitz methodSet (abstract data type)020901 industrial engineering & automation0103 physical sciencesStiffened panelBoundary value problemSingle domainSettore ING-IND/04 - Costruzioni E Strutture AerospazialiMathematicsCrackbusiness.industryBucklingThin-walled structureX-Ritz methodStructural engineeringFinite element methodBucklingbusiness
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Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers

2018

In this paper, the uncertainty property is represented by Z-number as the coefficients and variables of the fuzzy equation. This modification for the fuzzy equation is suitable for nonlinear system modeling with uncertain parameters. Here, we use fuzzy equations as the models for the uncertain nonlinear systems. The modeling of the uncertain nonlinear systems is to find the coefficients of the fuzzy equation. However, it is very difficult to obtain Z-number coefficients of the fuzzy equations.

0209 industrial biotechnologyProperty (philosophy)Mathematics::General MathematicsMathematicsofComputing_NUMERICALANALYSISComputational mathematics02 engineering and technologyFuzzy logicNonlinear system020901 industrial engineering & automationComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONZ number0202 electrical engineering electronic engineering information engineeringApplied mathematics020201 artificial intelligence & image processingComputingMethodologies_GENERALMathematics
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A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

2020

Computer vision based indoor localization methods use either an infrastructure of static cameras to track mobile entities (e.g., people, robots) or cameras attached to the mobile entities. Methods in the first category employ object tracking, while the others map images from mobile cameras with images acquired during a configuration stage or extracted from 3D reconstructed models of the space. This paper offers an overview of the computer vision based indoor localization domain, presenting application areas, commercial tools, existing benchmarks, and other reviews. It provides a survey of indoor localization research solutions, proposing a new classification based on the configuration stage…

0209 industrial biotechnologyQR codesComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylcsh:Chemical technologyBiochemistryArticlecomputer visionAnalytical ChemistryDomain (software engineering)fiducial markers020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringComputer visionlcsh:TP1-11853D reconstructionElectrical and Electronic EngineeringInstrumentationOrientation (computer vision)business.industry3D reconstructionAtomic and Molecular Physics and Opticsindoor localizationVideo trackingRobot020201 artificial intelligence & image processingAugmented realityArtificial intelligencebusinessSensors
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A Review of Recent Range Image Registration Methods with Accuracy Evaluation

2007

International audience; The three-dimensional reconstruction of real objects is an important topic in computer vision. Most of the acquisition systems are limited to reconstruct a partial view of the object obtaining in blind areas and occlusions, while in most applications a full reconstruction is required. Many authors have proposed techniques to fuse 3D surfaces by determining the motion between the different views. The first problem is related to obtaining a rough registration when such motion is not available. The second one is focused on obtaining a fine registration from an initial approximation. In this paper, a survey of the most common techniques is presented. Furthermore, a sampl…

0209 industrial biotechnologyRegistrationComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration02 engineering and technologycomputer.software_genre[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Motion (physics)020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringRange imageComputer vision3D reconstructionComputingMilieux_MISCELLANEOUSbusiness.industry3D reconstruction[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Object (computer science)Sample (graphics)Range (mathematics)Signal ProcessingOutlier020201 artificial intelligence & image processingComputer visionComputer Vision and Pattern RecognitionNoise (video)Data miningArtificial intelligencebusinesscomputer
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