Search results for "1707"

showing 10 items of 274 documents

A genetic algorithm for combined topology and shape optimisations

2003

A method to find optimal topology and shape of structures is presented. With the first the optimal distribution of an assigned mass is found using an approach based on homogenisation theory, that seeks in which elements of a meshed domain it is present mass; with the second the discontinuous boundaries are smoothed. The problem of the optimal topology search has an ON/OFF nature and has suggested the employment of genetic algorithms. Thus in this paper a genetic algorithm has been developed, which uses as design variables, in the topology optimisation, the relative densities (with respect to effective material density) 0 or 1 of each element of the structure and, in the shape one, the coord…

Topology optimisationGenetic algorithms; Shape optimisation; Topology optimisation; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computer Graphics and Computer-Aided Design; Industrial and Manufacturing EngineeringStructure (category theory)Shape optimisationComputer Science Applications1707 Computer Vision and Pattern RecognitionTopologyComputer Graphics and Computer-Aided DesignDomain (mathematical analysis)Finite element methodIndustrial and Manufacturing EngineeringComputer Science ApplicationsVariable (computer science)Distribution (mathematics)Genetic algorithmGenetic algorithmLimit (mathematics)Settore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeTopology (chemistry)Mathematics
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Normal and Abnormal Tissue Classification in Positron Emission Tomography Oncological Studies

2018

Positron Emission Tomography (PET) imaging is increasingly used in radiotherapy environment as well as for staging and assessing treatment response. The ability to classify PET tissues, as normal versus abnormal tissues, is crucial for medical analysis and interpretation. For this reason, a system for classifying PET area is implemented and validated. The proposed classification is carried out using k-nearest neighbor (KNN) method with the stratified K-Fold Cross-Validation strategy to enhance the classifier reliability. A dataset of eighty oncological patients are collected for system training and validation. For every patient, lesion (abnormal tissue) and background (normal tissue around …

Treatment responsepositron emission tomographyK-nearest neighborKernel support vector machineComputer scienceNormal tissueK-Fold cross-validation030218 nuclear medicine & medical imagingk-nearest neighbors algorithmLesion03 medical and health sciences0302 clinical medicinetissue classificationmedicineRadiation treatment planningFuzzy C-Mean1707Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testbusiness.industryPattern recognitionComputer Graphics and Computer-Aided DesignPredictive valueSupport vector machineFuzzy C-MeansPositron emission tomography030220 oncology & carcinogenesisComputer Vision and Pattern RecognitionArtificial intelligencemedicine.symptombusinessPattern Recognition and Image Analysis
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Macanaz, agente real en Valencia, 1707

2018

UNESCO::HISTORIA0210-9093 553 Estudis: Revista de historia moderna 500918 2018 44 6623957 MacanazEduardo 225 2441707 Lama Romero:HISTORIA [UNESCO]Revista de historia moderna 500918 2018 44 6623957 Macanaz [0210-9093 553 Estudis]agente real en Valencia
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Mathematical modeling of a vehicle crash test based on elasto-plastic unloading scenarios of spring-mass models

2011

Published version of an article in the journal: The International Journal of Advanced Manufacturing Technology. Also available from the publisher on SpringerLink: htp://dx.doi.org/10.1007/s00170-010-3056-x This paper investigates the usability of spring which exhibit nonlinear force-deflection characteristic in the area of mathematical modeling of vehicle crash. We present a method which allows us to obtain parameters of the spring-mass model basing on the full-scale experimental data analysis. Since vehicle collision is a dynamic event, it involves such phenomena as rebound and energy dissipation. Three different spring unloading scenarios (elastic, plastic, and elasto-plastic) are covered…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413EngineeringTotal crash energyVehicle crashKinematicsIndustrial and Manufacturing EngineeringCoefficient of restitution; Spring-mass model; Total crash energy; Unloading stiffness; Vehicle crash; Control and Systems Engineering; Software; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Industrial and Manufacturing EngineeringSimulationEvent (probability theory)Coefficient of restitutionbusiness.industrySpring-mass modelMechanical EngineeringVDP::Technology: 500::Mechanical engineering: 570UsabilityComputer Science Applications1707 Computer Vision and Pattern RecognitionStructural engineeringDissipationCollisionComputer Science ApplicationsNonlinear systemUnloading stiffnessSpring (device)Control and Systems EngineeringCoefficient of restitutionbusinessSoftware
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Investigation of vehicle crash modeling techniques: theory and application

2013

Published version of an article in the journal: The International Journal of Advanced Manufacturing Technology. Also available from the publisher at: http://dx.doi.org/10.1007/s00170-013-5320-3 Creating a mathematical model of a vehicle crash is a task which involves considerations and analysis of different areas which need to be addressed because of the mathematical complexity of a crash event representation. Therefore, to simplify the analysis and enhance the modeling process, in this work, a brief overview of different vehicle crash modeling methodologies is proposed. The acceleration of a colliding vehicle is measured in its center of gravity—this crash pulse contains detailed informati…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Feedforward neural network; Lumped parameter models; Multiresolution analysis; Vehicle crash modeling; Control and Systems Engineering; Software; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Industrial and Manufacturing EngineeringEvent (computing)Computer scienceReliability (computer networking)Mechanical Engineeringvehicle crash modelingVDP::Technology: 500::Mechanical engineering: 570lumped parameter modelsCrashControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionCollisionIndustrial and Manufacturing EngineeringComputer Science Applicationsmultiresolution analysisAutoregressive modelControl and Systems Engineeringfeedforward neural networkRepresentation (mathematics)SimulationSoftwareMotor vehicle crash
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Mixed l-/l1 fault detection observer design for positive switched systems with time-varying delay via delta operator approach

2014

Published version of an article in the journal: International Journal of Control, Automation and Systems. Also available from the publisher at: http://dx.doi.org/10.1007/s12555-013-0466-1 This paper investigates the problem of fault detection observer design for positive switched systems with time-varying delay via delta operator approach. A new fault sensitivity measure, called l-index, is proposed. The l- fault detection observer design and multi-objective l -/l1 fault detection observer design problems are addressed. Based on the average dwell time approach and the piecewise copositive type Lyapunov-Krasovskii functional method in delta domain, sufficient conditions for the existence of …

VDP::Technology: 500::Mechanical engineering: 570Computer Science Applications1707 Computer Vision and Pattern RecognitionDelta operatorMechatronicsfault sensitivityFault (power engineering)positive switched systemsMeasure (mathematics)VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Fault detection and isolationfault detectionComputer Science Applicationsdelta operatorDwell timeControl theoryControl and Systems EngineeringPiecewiseAverage dwell time; delta operator; fault detection; fault sensitivity; positive switched systems; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern RecognitionSensitivity (control systems)Average dwell timeMathematics
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Robust H∞ sliding mode control with pole placement for a fluid power electrohydraulic actuator (EHA) system

2014

Published version of an article in the journal: International Journal of Advanced Manufacturing Technology. Also available from the publisher at: http://dx.doi.org/10.1007/s00170-014-5910-8 In this paper, we exploit the sliding mode control problem for a fluid power electrohydraulic actuator (EHA) system. To characterize the nonlinearity of the friction, the EHA system is modeled as a linear system with a system uncertainty. Practically, it is assumed that the system is also subject to the load disturbance and the external noise. An integral sliding mode controller is proposed to design. The advanced techniques such as the H ∞ control and the regional pole placement are employed to derive t…

Variable structure controlEngineeringbusiness.industrypole placementMechanical EngineeringLinear systemLinear matrix inequalitysliding mode controlComputer Science Applications1707 Computer Vision and Pattern RecognitionVDP::Technology: 500::Electrotechnical disciplines: 540Sliding mode controlLinear matrix inequalities (LMIs); Pole placement; Sliding mode control; Control and Systems Engineering; Software; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Industrial and Manufacturing EngineeringVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Industrial and Manufacturing EngineeringComputer Science ApplicationsNonlinear systemFluid powerControl theoryControl and Systems EngineeringFull state feedbacklinear matrix inequalities (LMIs)ActuatorbusinessSoftwareH∞ control
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A heterogeneous and reconfigurable machine-vision system

1995

This paper describes a new machine-vision system, a HERMIA heterogeneous and reconfigurable machine for image analysis. The architecture topology of the HERMIA machine is reconfigurable; moreover, the integration of its special modules allows a search for optimal strategies to solve vision problems. The general architecture and the hardware implementation are described. The software environment of the HERMIA machine provides a full iconic interface and a pictorial language oriented to vision in multiprocessor architectures. The preliminary system evaluation and applications are shown. © 1995 Springer-Verlag.

Visual languageSettore INF/01 - InformaticaIconic environmentMachine visionComputer Science ApplicationsHuman-Computer InteractionHardware and ArchitectureControl and Systems EngineeringArtificial IntelligenceParallel processingReconfigurabilityComputer Vision and Pattern RecognitionImage analysiHeterogeneityElectrical and Electronic EngineeringSoftware1707
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XIPE: the x-ray imaging polarimetry explorer

2016

XIPE, the X-ray Imaging Polarimetry Explorer, is a mission dedicated to X-ray Astronomy. At the time of writing XIPE is in a competitive phase A as fourth medium size mission of ESA (M4). It promises to reopen the polarimetry window in high energy Astrophysics after more than 4 decades thanks to a detector that efficiently exploits the photoelectric effect and to X-ray optics with large effective area. XIPE uniqueness is time-spectrally-spatially- resolved X-ray polarimetry as a breakthrough in high energy astrophysics and fundamental physics. Indeed the payload consists of three Gas Pixel Detectors at the focus of three X-ray optics with a total effective area larger than one XMM mirror bu…

X-ray AstronomyHigh-energy astronomyPolarimetryX-ray opticsX-ray telescopeCondensed Matter Physic01 natural sciencesObservatory0103 physical sciencesPolarimetryElectronicOptical and Magnetic MaterialsSpectral resolutionElectrical and Electronic Engineering010303 astronomy & astrophysicsGas Pixel DetectorPhysicsX-ray astronomyta115X-ray optics010308 nuclear & particles physicsElectronic Optical and Magnetic MaterialApplied MathematicsVegaAstronomyComputer Science Applications1707 Computer Vision and Pattern RecognitionGas Pixel Detector; Polarimetry; X-ray Astronomy; X-ray opticsCondensed Matter PhysicsComputer Science ApplicationsApplied MathematicGas Pixel Detector; Polarimetry; X-ray Astronomy; X-ray optics; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringGas Pixel Detector; Polarimetry; X-ray Astronomy; X-ray optics; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications; Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringComputer Vision and Pattern RecognitionX-ray optic
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ATHENA WFI optical blocking filters development status toward the end of the instrument phase-A

2018

Copyright 2018 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. The Wide Field Imager (WFI) is one of the two instruments of the ATHENA astrophysics space mission approved by ESA as the second large mission in the Cosmic Vision 2015-2025 Science Programme. The WFI, based on a large array of depleted field effect transistors (DEPFET), will provide imaging in the 0.2-15 keV band over a 40'x40' field of view, simultaneously with spectrally an…

X-ray detectorCosmic VisionPhotonX-ray detectorWide Field ImagerField of viewCondensed Matter Physic7. Clean energy01 natural sciences010309 opticsX-ray astronomyOpticsSettore FIS/05 - Astronomia E Astrofisica0103 physical sciencesAthenaSpectral resolutionElectrical and Electronic EngineeringOptical blocking filter010303 astronomy & astrophysicsPhysicsCMOS sensorbusiness.industryElectronic Optical and Magnetic MaterialDetectorComputer Science Applications1707 Computer Vision and Pattern RecognitionPhoton countingApplied MathematicActive pixel sensor13. Climate actionbusinessDEPFET
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