Search results for "1707"

showing 10 items of 274 documents

Automatic place detection and localization in autonomous robotics

2007

This paper presents an approach for the simultaneous learning and recognition of places applied to autonomous robotics. While noteworthy results have been achieved with respect to off-line training process for appearance-based navigation, novel issues arise when recognition and learning are simultaneous and unsupervised processes. The approach adopted here uses a Gaussian mixture model estimated by a novel incremental MML-EM to model the probability distribution of features extracted by image-preprocessing. A place detector decides which features belong to which place integrating odometric information and a hidden Markov model. Tests demonstrate that the proposed system performs as well as …

Computer sciencebusiness.industryFeature extractionRoboticsComputer Science Applications1707 Computer Vision and Pattern RecognitionMixture modelMachine learningcomputer.software_genreObject detectionsymbols.namesakeControl and Systems EngineeringsymbolsRobotUnsupervised learningArtificial intelligenceHidden Markov modelbusinessGaussian processcomputerSoftware1707
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Conceptual representations of actions for autonomous robots

2001

An autonomous robot involved in long and complex missions should be able to generate, update and process its own plans of action. In this perspective, it is not plausible that the meaning of the representations used by the robot is given from outside the system itself. Rather, the meaning of internal symbols must be firmly anchored to the world through the perceptual abilities and the overall activities of the robot. According to these premises, in this paper we present an approach to action representation that is based on a "conceptual" level of representation, acting as an intermediate level between symbols and data coming from sensors. Symbolic representations are interpreted by mapping …

Conceptual spaceHybrid processingArtificial neural networkRepresentation levelComputer scienceProcess (engineering)business.industryGeneral MathematicsPerspective (graphical)Representation (systemics)Computer Science Applications1707 Computer Vision and Pattern RecognitionAutonomous robotNeural networkComputer Science ApplicationsMeaning (philosophy of language)Action (philosophy)ActionControl and Systems EngineeringRobotMathematics (all)Artificial intelligencebusinessArtificial visionProcesseSoftware
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Anchoring symbols to conceptual spaces: the case of dynamic scenarios.

2003

In recent years, there have been several proposals for the realization of models inspired to biological solutions for pattern recognition. In this work we propose a new approach, based on a hierarchical modular structure, to realize a system capable to learn by examples and recognize objects in digital images. The adopted techniques are based on multiresolution image analysis and neural networks. Performance on two different data sets and experimental timings on a single instruction multiple data (SIMD) machine are also reported.

Conceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAnchoringComputer sciencebusiness.industryGeneral MathematicsRepresentation (systemics)AnchoringComputer Science Applications1707 Computer Vision and Pattern RecognitionCognitive architectureComputer Science ApplicationsAction representationRobot visionControl and Systems EngineeringSituation calculuMathematics (all)Artificial intelligenceSituation calculusbusinessCognitive roboticsSoftware
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Experiments with an adaptive Bayesian restoration method

1989

Abstract This paper describes a Bayesian restoration method applied to two-dimensional measured images, whose detector response function is not completely known. The response function is assumed Gaussian with standard deviation depending on the estimate of the local density of the image. The convex hull of the K -nearest neighbours ( K NN) of each ‘on’ pixel is used to compute the local density. The method has been tested on ‘sparse’ images, with and without noise background.

Convex hullGaussianImage processingStandard deviationsymbols.namesakeArtificial IntelligenceBayesian restorationElectrical and Electronic EngineeringImage restorationK-nearest-neighbours algorithmMathematics1707PixelSettore INF/01 - Informaticabusiness.industryPattern recognitionsparse imageFunction (mathematics)Signal ProcessingsymbolsComputer Vision and Pattern RecognitionArtificial intelligenceDeconvolutionbusinessconvex hullSoftware
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Stabilization and lx -gain analysis of switched positive systems with actuator saturation

2014

This paper is concerned with the problems of stability and l 1 -gain analysis for a class of switched positive systems with time-varying delays and actuator saturation. Firstly, a convex hull representation is used to describe the saturation behavior. By constructing a multiple co-positive Lyapunov functional, sufficient conditions are provided for the closed-loop system to be locally asymptotically stable at the origin of the state space under arbitrary switching. Then, the l 1 -gain performance analysis in the presence of actuator saturation is developed. Finally, two numerical examples are provided to demonstrate the effectiveness of the proposed method.

Convex hulll<inf>1</inf>-gain performanceApplied MathematicsTime-varying delaysActuator saturationComputer Science Applications1707 Computer Vision and Pattern RecognitionPositive systemsActuator saturation; l<inf>1</inf>-gain performance; Positive systems; Switched systems; Time-varying delays; Computer Science Applications1707 Computer Vision and Pattern Recognition; Control and Systems Engineering; Applied Mathematics; Modeling and SimulationStability (probability)Positive systemsActuator saturationControl theoryControl and Systems EngineeringStability theoryModeling and SimulationState spaceRepresentation (mathematics)Saturation (chemistry)Switched systemsMathematics
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Structural modelling and mechanical tests supporting the design of the ATHENA X-IFU thermal filters and WFI optical blocking filter

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. ATHENA is a Large high energy astrophysics space mission selected by ESA in the Cosmic Vision 2015-2025 Science Program. It will be equipped with two interchangeable focal plane detectors: the X-Ray Integral Field Unit (X-IFU) and the Wide Field Imager (WFI). Both detectors require x-ray transparent filters to fully exploit their sensitivity. In order to maximize the X-ray tra…

Cosmic VisionComputer scienceCondensed Matter PhysicBlocking (statistics)01 natural sciencesSettore FIS/05 - Astronomia E AstrofisicaWFI0103 physical sciencesSensitivity (control systems)Aerospace engineeringElectrical and Electronic Engineering010306 general physicsFEAX-IFU010308 nuclear & particles physicsbusiness.industryFilterElectronic Optical and Magnetic MaterialDetectorComputer Science Applications1707 Computer Vision and Pattern RecognitionTransparency (human–computer interaction)ATHENAVibrationApplied MathematicCardinal pointFilter (video)X-Raybusiness
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The TES-based cryogenic anticoincidence detector for IXO: First results from large area prototypes

2010

The technique which combines high resolution spectroscopy with imaging capability is a powerful tool to extract fundamental information in X-ray Astrophysics and Cosmology. TES (Transition Edge Sensors)-based microcalorimeters match at best the requirements for doing fine spectroscopy and imaging of both bright (high count rate) and faint (poor signal-to-noise ratio) sources. For this reason they are considered among the most promising detectors for the next high energy space missions and are being developed for use on the focal plane of the IXO (International X-ray Observatory) mission. In order to achieve the required signal-to-noise ratio for faint or diffuse sources it is necessary to r…

Cryogenic Detectors; IXO; SQUID; TES; X-ray; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringCryogenic DetectorsSQUIDSpace explorationX-raySignal-to-noise ratioOpticsSettore FIS/05 - Astronomia E AstrofisicaObservatoryElectronicOptical and Magnetic MaterialsElectrical and Electronic EngineeringPhysicsSpectrometerPixelbusiness.industryApplied MathematicsDetectorPulse durationComputer Science Applications1707 Computer Vision and Pattern RecognitionCondensed Matter PhysicsCardinal pointIXObusinessTES Cryogenic Detectors X-ray SQUID IXOTES
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Baseline design of the thermal blocking filters for the X-IFU detector on board ATHENA

2014

ATHENA is an advanced X-ray observatory designed by a large European consortium to address the science theme "Hot and Energetic Universe" recently selected by ESA for L2 – the second Large-class mission within the Cosmic Vision science program (launch scheduled in 2028). One of the key instruments of the mission is the X-ray Integral Field Unit (X-IFU), an array of Transition Edge Sensor (TES) micro-calorimeters with high energy resolution (2.5 eV @ 6 keV) in the energy range 0.2÷12 keV, operating at the focal plane of a large effective area high angular resolution (5" HEW) grazing incidence X-ray telescope. The X-IFU operates at temperatures below 100 mK and thus requires a sophisticated c…

CryostatCosmic VisionVisionShieldsX-ray telescopeGrazing incidencelaw.inventionTelescopeOpticsSettore FIS/05 - Astronomia E AstrofisicalawX-raysElectronicmicro-calorimeterOptical and Magnetic MaterialsElectrical and Electronic EngineeringX-ray telescopesPhysicsX-IFUSpatial resolutionSounding rocketEquipment and servicesbusiness.industrySensorsApplied MathematicsDetectorAstrophysics::Instrumentation and Methods for AstrophysicsOptical Blocking FiltersComputer Science Applications1707 Computer Vision and Pattern RecognitionDetector arraysCondensed Matter PhysicsATHENAmissionsCultural heritageTransition edge sensorbusinessATHENA; micro-calorimeter; missions; Optical Blocking Filters; X-IFU; X-rays; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringTelescopes
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Thermal modelling of the ATHENA X-IFU filters

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 X-IFU instrument of the ATHENA mission requires a set of thermal filters to reduce the photon shot noise onto its cryogenic detector and to protect it from molecular contamination. A set of five filters, operating at different nominal temperatures corresponding to the cryostat shield temperatures, is currently baselined. The knowledge of the actual filter temperature profi…

CryostatMaterials scienceCondensed Matter Physic01 natural sciencesthermal simulationSettore FIS/05 - Astronomia E AstrofisicaOpticsthermal filter0103 physical sciencesThermalEmissivityRadiative transferElectrical and Electronic Engineering010306 general physicsThermal analysis010303 astronomy & astrophysicsX-IFUbusiness.industryElectronic Optical and Magnetic MaterialDetectorShot noiseComputer Science Applications1707 Computer Vision and Pattern RecognitionATHENAApplied MathematicFilter (video)businessSpace Telescopes and Instrumentation 2018: Ultraviolet to Gamma Ray
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Radio frequency shielding of thin aluminized plastic filters investigated for the ATHENA X-IFU detector

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 X-ray Integral Field Unit (X-IFU) is one of the two detectors of the ATHENA astrophysics space mission approved by ESA in the Cosmic Vision 2015-2025 Science Programme. The X-IFU consists of a large array of transition edge sensors (TES) micro-calorimeters covering a field of view of 5' diameter, sensitive in the energy range 0.2-12 keV, and providing a spectral resolution…

CryostatMaterials sciencePhysics::Instrumentation and DetectorsX-ray detectorRF attenuationField of viewCondensed Matter Physic02 engineering and technologyreverberation chamber7. Clean energyElectromagnetic interferenceSettore FIS/05 - Astronomia E AstrofisicaOpticsX-ray Integral Field Unit (X-IFU)thermal thin-film filter0202 electrical engineering electronic engineering information engineeringElectrical and Electronic Engineeringbusiness.industryElectronic Optical and Magnetic Material020502 materialsDetectorAstrophysics::Instrumentation and Methods for Astrophysicsx-ray detectorComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsresonance modeApplied MathematicATHENA X-ray observatoryEMI shielding0205 materials engineeringElectromagnetic shieldingRadio frequencyAntenna (radio)businessSpace Telescopes and Instrumentation 2018: Ultraviolet to Gamma Ray
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