Search results for "sign"

showing 10 items of 14733 documents

Using an Adaptive High-Gain Extended Kalman Filter With a Car Efficiency Model

2010

The authors apply the Adaptive High-Gain Extended Kalman Filter (AEKF) to the problem of estimating engine efficiency with data gathered from normal driving. The AEKF is an extension of the traditional Kalman Filter that allows the filter to be reactive to perturbations without sacrificing noise filtering. An observability normal form of the engine efficiency model is developed for the AEKF. The continuous-discrete AEKF is presented along with strategies for dealing with asynchronous data. Empiric test results are presented and contrasted with EKF-derived results.Copyright © 2010 by ASME

0209 industrial biotechnologyHigh-gain antennaEngineeringbusiness.industry020208 electrical & electronic engineering02 engineering and technologyKalman filterFilter (signal processing)Invariant extended Kalman filter[SPI.AUTO]Engineering Sciences [physics]/AutomaticExtended Kalman filter020901 industrial engineering & automationControl theoryEngine efficiency[ SPI.AUTO ] Engineering Sciences [physics]/Automatic0202 electrical engineering electronic engineering information engineeringFast Kalman filterObservabilitybusinessComputingMilieux_MISCELLANEOUS
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A theoretical framework for product relationships description over space and time in integrated design

2016

ABSTRACTThis paper presents a novel qualitative description theory in the context of integrated design, which here incorporates assembly sequence planning in the early product design stages (also called assembly oriented design – AOD). Based on a literature review of current AOD approaches, product models and mereotopology-based theories, the authors introduce a promising mereotopological theory which enables the formal product relationships description in integrated design by introducing an emerging framework, four-dimensionalism (i.e. perdurantism in philosophy). The proposed efforts aim at providing a concrete basis for describing the evolution of spatial entities (i.e. product parts) an…

0209 industrial biotechnologyIntegrated designInterpretation (logic)Basis (linear algebra)Product designComputer scienceGeneral EngineeringContext (language use)02 engineering and technology020901 industrial engineering & automationProduct (mathematics)0202 electrical engineering electronic engineering information engineeringSystems engineering020201 artificial intelligence & image processingPerdurantismMereotopologyJournal of Engineering Design
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K-nearest neighbor driving active contours to delineate biological tumor volumes

2019

Abstract An algorithm for tumor delineation in positron emission tomography (PET) is presented. Segmentation is achieved by a local active contour algorithm, integrated and optimized with the k-nearest neighbor (KNN) classification method, which takes advantage of the stratified k-fold cross-validation strategy. The proposed approach is evaluated considering the delineation of cancers located in different body districts (i.e. brain, head and neck, and lung), and considering different PET radioactive tracers. Data are pre-processed in order to be expressed in terms of standardized uptake value, the most widely used PET quantification index. The algorithm uses an initial, operator selected re…

0209 industrial biotechnologyK-nearest neighborComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFDG and MET PET imagingStandardized uptake value02 engineering and technologyImaging phantomk-nearest neighbors algorithmActive contour algorithm020901 industrial engineering & automationArtificial IntelligenceRegion of interest0202 electrical engineering electronic engineering information engineeringSegmentationElectrical and Electronic EngineeringActive contour modelbusiness.industryProcess (computing)Pattern recognitionCancer segmentationBiological target volumeControl and Systems Engineering020201 artificial intelligence & image processingArtificial intelligencebusinessEnergy (signal processing)Engineering Applications of Artificial Intelligence
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Fault detection for nonlinear networked systems based on quantization and dropout compensation: An interval type-2 fuzzy-model method

2016

Abstract This paper investigates the problem of filter-based fault detection for a class of nonlinear networked systems subject to parameter uncertainties in the framework of the interval type-2 (IT2) T–S fuzzy model-based approach. The Bernoulli random distribution process and logarithm quantizer are used to describe the measurement loss and signals quantization, respectively. In the framework of the IT2 T–S fuzzy model, the parameter uncertainty is handled by the membership functions with lower and upper bounds. A novel IT2 fault detection filter is designed to guarantee the residual system to be stochastically stable and satisfy the predefined H ∞ performance. It should be mentioned that…

0209 industrial biotechnologyLogarithmCognitive NeuroscienceQuantization (signal processing)02 engineering and technologyFuzzy control systemResidualFuzzy logicFault detection and isolationComputer Science ApplicationsNonlinear system020901 industrial engineering & automationArtificial IntelligenceControl theory0202 electrical engineering electronic engineering information engineeringFuzzy number020201 artificial intelligence & image processingMathematicsNeurocomputing
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The application of the random balance method in laser machining of metals

2008

International audience; Features peculiar to laser technology offer some advantages over more traditional processes, but, like all processes, it has its limitations. This article studies the limitations of laser machining of metals, and quantifies, through an experimental design method, the influence of operating parameters on productivity and on the quality of the machined surface. Three study materials were used: an aluminium alloy, stainless steel and a titanium alloy. An initial reading of the results indicates that productivity depends mainly on the frequency of the laser pulse and that the aluminium alloy behaves differently from the other two. The quality of the machined surface, jud…

0209 industrial biotechnologyMaterials scienceAlloy[ PHYS.COND.CM-MS ] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Mechanical engineering02 engineering and technologySurface finishengineering.materialIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationMachininglawAluminium alloySurface roughnessMetallurgyMetals and Alloys[CHIM.MATE]Chemical Sciences/Material chemistry021001 nanoscience & nanotechnologyLaserMachiningExperimental designComputer Science ApplicationsPulse (physics)Random balance methodMetalsModeling and Simulationvisual_artNd:YAG laser[ CHIM.MATE ] Chemical Sciences/Material chemistryCeramics and Compositesvisual_art.visual_art_mediumengineering[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Nd:YAG laser0210 nano-technology
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The use of exploratory experimental designs combined with thermal numerical modelling to obtain a predictive tool for hybrid laser/MIG welding and co…

2011

Abstract While hybrid laser welding and coating processes involve a large number of physical phenomena, it is currently impossible to predict, for a given set of influencing factors, the shape of the molten zone and the history of temperature fields inside the parts. This remains true for complex processes, such as the hybrid laser/MIG welding process, which consists in combining a laser beam with a MIG torch. The gains obtained result essentially from the synergy of the associated processes: the stability of the process, the quality of the seam realized, and the productivity are increased. This article shows how, by means of a reduced number of experiments (8), it is possible to predict th…

0209 industrial biotechnologyMaterials scienceDesign of experimentsProcess (computing)Mechanical engineeringLaser beam welding02 engineering and technologyengineering.material021001 nanoscience & nanotechnologyLaserAtomic and Molecular Physics and OpticsFinite element methodElectronic Optical and Magnetic MaterialsGas metal arc weldinglaw.invention020901 industrial engineering & automationCoatinglawThermalengineeringElectrical and Electronic Engineering0210 nano-technologyComputingMilieux_MISCELLANEOUS
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Design of continuous Friction Stir Extrusion machines for metal chip recycling: issues and difficulties

2018

Abstract Friction Stir Extrusion is an innovative direct-recycling technology developed for metal machining chips. During the process, a rotating die is plunged into a cylindrical chamber containing the material to be recycled. The stirring action of the die prompts solid bonding phenomena allowing the back extrusion of a full dense rod. One of the main weakness of this technology is the discontinuity of the process itself that limits the extrudates volume to the capacity of the chamber. In order to overcome that limitation, a dedicated extrusion fixture has to be developed, keeping into account the concurrent needs of a continuous machine. The geometry of the die has to ensure proper press…

0209 industrial biotechnologyMaterials scienceMetal machiningMechanical engineering02 engineering and technologyFixtureMachine design021001 nanoscience & nanotechnologyChipIndustrial and Manufacturing EngineeringChip recycling020901 industrial engineering & automationArtificial IntelligenceMachine designContinuous Friction Stir ExtrusionExtrusion0210 nano-technologyProcedia Manufacturing
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Contactless generation of cavitation in high temperature liquid metals and its impact on particle dispersion in solidified iron and steel samples

2021

Abstract A recently developed method for the contactless magnetic generation of cavitation is demonstrated for high-melting-point metals. The approach is based on the floating-zone technique, which is truly contactless and crucible-free as it uses electromagnetic forces. Using this method, ultra-high-temperature ceramic particles, such as TiN, TiB2 and TiC, are admixed in liquid iron and 316L steel. The dispersion and particle refinement caused by cavitation treatment during melting and solidification are investigated. Magnetic fields up to 8 T that correspond to pressure oscillation amplitude of 0.83 MPa are used. The signal emitted by the collapsing bubbles is captured and visualized for …

0209 industrial biotechnologyMaterials scienceMetals and Alloyschemistry.chemical_element02 engineering and technologySignalIndustrial and Manufacturing EngineeringComputer Science ApplicationsMagnetic field020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringchemistryModeling and SimulationCavitationvisual_artCeramics and Compositesvisual_art.visual_art_mediumParticleCeramicComposite materialDispersion (chemistry)TinIntensity (heat transfer)
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Stable layer-building strategy to enhance cold-spray-based additive manufacturing

2020

Abstract Cold spray (CS) has recently become one of the popular additive manufacturing (AM) processes for its advantages: high-forming efficiency, low temperature, and no phase changing of materials. These advantages may make CS able to form large volume objects and possibly directly iterate with material-removing processes to become a hybrid AM process. Current research proposes using a bulk-based volume-forming strategy (e.g. a tessellation-based method) for volume building. Although it can form 3D volumes, the control of the process is difficult and it has limitations in forming complex 3D near-net-shapes with acceptable accuracy. This also conflicts with the basic principle of AM, where…

0209 industrial biotechnologyMaterials scienceTessellationbusiness.industryBiomedical EngineeringProcess (computing)Volume (computing)Gas dynamic cold spray02 engineering and technologyKinematicsBenchmarking021001 nanoscience & nanotechnologyIndustrial and Manufacturing Engineering[SPI]Engineering Sciences [physics]020901 industrial engineering & automationProcess controlGeneral Materials ScienceLayer (object-oriented design)0210 nano-technologyProcess engineeringbusinessEngineering (miscellaneous)
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Sampled Fictitious Play on Networks

2019

We formulate and solve the problem of optimizing the structure of an information propagation network between multiple agents. In a given space of interests (e.g., information on certain targets), each agent is defined by a vector of their desirable information, called filter, and a vector of available information, called source. The agents seek to build a directed network that maximizes the value of the desirable source-information that reaches each agent having been filtered en route, less the expense that each agent incurs in filtering any information of no interest to them. We frame this optimization problem as a game of common interest, where the Nash equilibria can be attained as limit…

0209 industrial biotechnologyMathematical optimization021103 operations researchOptimization problemComputer scienceNode (networking)Frame (networking)0211 other engineering and technologies02 engineering and technologyFilter (signal processing)Fictitious playsymbols.namesake020901 industrial engineering & automationNash equilibriumLimit pointKey (cryptography)symbols
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