Search results for " Computer"

showing 10 items of 6910 documents

Algebraic parameter estimation of a multi-sinusoidal waveform signal from noisy data

2013

International audience; In this paper, we apply an algebraic method to estimate the amplitudes, phases and frequencies of a biased and noisy sum of complex exponential sinusoidal signals. Let us stress that the obtained estimates are integrals of the noisy measured signal: these integrals act as time-varying filters. Compared to usual approaches, our algebraic method provides a more robust estimation of these parameters within a fraction of the signal's period. We provide some computer simulations to demonstrate the efficiency of our method.

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalsymbols.namesake020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingControl theory[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering0202 electrical engineering electronic engineering information engineeringFraction (mathematics)Algebraic numberNoisy data[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsEstimation theory020206 networking & telecommunicationsAmplitudeSinusoidal waveformEuler's formulasymbols[INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Gradient-based time to contact on paracatadioptric camera

2013

International audience; The problem of time to contact or time to collision (TTC) estimation is largely discussed in perspective images. However, a few works have dealt with images of catadioptric sensors despite of their utility in robotics applications. The objective of this paper is to develop a novel model for estimating TTC with catadioptric images relative to a planar surface, and to demonstrate that TTC can be estimated only with derivative brightness and image coordinates. This model, called "gradient based time to contact", does not need high processing such as explicit estimation of optical flow and feature detection/or tracking. The proposed method allows to estimate TTC and give…

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer sciencemobile roboticComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowTime to contactmobile robotic.[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyobstacle avoidanceCatadioptric system020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingomnidirectional visionObstacle avoidance0202 electrical engineering electronic engineering information engineeringcollision detectionCollision detectionComputer visionImage sensor[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingFeature detection (computer vision)Orientation (computer vision)business.industryPerspective (graphical)Mobile robot020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing2013 IEEE International Conference on Image Processing
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Algebraic parameter estimation of a biased sinusoidal waveform signal from noisy data

2012

International audience; The amplitude, frequency and phase of a biased and noisy sum of two complex exponential sinusoidal signals are estimated via new algebraic techniques providing a robust estimation within a fraction of the signal period. The methods that are popular today do not seem able to achieve such performances. The efficiency of our approach is illustrated by several computer simulations.

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingPhase (waves)02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalsymbols.namesake020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering0202 electrical engineering electronic engineering information engineeringElectronic engineeringFraction (mathematics)Differential algebraAlgebraic numberMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingEstimation theory020206 networking & telecommunicationsAmplitudeEuler's formulasymbols[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithm[INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering
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Global sensitivity analysis in welding simulations -- what are the material data you really need ?

2011

In this paper, the sensitivity analysis methodology is applied to numerical welding simulation in order to rank the importance of input variables on the outputs of the code like distorsions or residual stresses. The numerical welding simulation uses the finite element method, with a thermal computation followed by a mechanical one. Classically, a local sensitivity analysis is performed, hence the validity of the results is limited to the neighbourhood of a nominal point, and cross effects cannot be detected. This study implements a global sensitivity analysis which allows to screen the whole material space of the steel family mechanical properties. A set of inputs of the mechanical model-ma…

0209 industrial biotechnology[ SPI.MECA.STRU ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of the structures [physics.class-ph]02 engineering and technologyWeldingFinite Element[ PHYS.MECA.STRU ] Physics [physics]/Mechanics [physics]/Mechanics of the structures [physics.class-ph]law.invention020901 industrial engineering & automation[PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]0203 mechanical engineeringlawPoint (geometry)Sensitivity (control systems)numerical experimentsMathematicsApplied MathematicsGeneral EngineeringSampling (statistics)Computer Graphics and Computer-Aided DesignFinite element method[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of the structures [physics.class-ph]welding simulation020303 mechanical engineering & transportsLatin hypercube samplingRanking[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]Variance-based sensitivity analysisAlgorithmAnalysis
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Visual saliency detection in colour images based on density estimation

2017

International audience; A simple and effective method for visual saliency detection in colour images is presented. The method is based on the common observation that local salient regions exhibit distinct geometric and and texture patterns from neighbouring regions. We model the colour distribution of local image patches with a Gaussian density and measure the saliency of each patch as the statistical distance from that density. Experimental results with public datasets and comparison with other state-of-the-art methods show the effectiveness of our method.

0209 industrial biotechnologybusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitionGaussian density02 engineering and technologyDensity estimation[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Measure (mathematics)Texture (geology)020901 industrial engineering & automationSalientComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessComputingMethodologies_COMPUTERGRAPHICSVisual saliencyElectronics Letters
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Exploring Virtual Reality as an Integrated Development Environment for Cyber-Physical Systems

2019

Cyber Physical Systems (CPS) development approaches tend to start from the physical (hardware) perspective, and the software is the final element in the process. However, this approach is unfit for the more software-intensive world that is increasingly iterative, connected, and constantly online. Many constraints prevent the application of iterative, incremental, and agile development methodologies, which now are the norm for many other fields of software. Time-consuming system validation can only start when both hardware and software components are ready, which implies that the software delivery and quality is almost always the final bottleneck in the CPS development and integration. Also …

0209 industrial biotechnologybusiness.industryComputer scienceProcess (engineering)Integrated softwareeducationCyber-physical system020207 software engineering02 engineering and technologyVirtualizationcomputer.software_genre113 Computer and information sciencesBottleneck020901 industrial engineering & automationSoftwareComponent-based software engineering0202 electrical engineering electronic engineering information engineeringbusinessSoftware engineeringcomputerAgile software development
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Tracking Moving Objects With a Catadioptric Sensor Using Particle Filter

2011

International audience; Visual tracking in video sequences is a widely developed topic in computer vision applications. However, the emergence of panoramic vision using catadioptric sensors has created the need for new approaches in order to track an object in this type of images. Indeed the non-linear resolution and the geometric distortions due to the insertion of the mirror, make tracking in catadioptric images a very challenging task. This paper describes particle filter for tracking moving object over time using a catadioptric sensor. In this work different problems due to the specificities of the catadioptric systems such as geometry are considered. The obtained results demonstrate an…

0209 industrial biotechnologybusiness.industryComputer scienceparticle filtersComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologycatadioptric cameravisual tracking[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Catadioptric system020901 industrial engineering & automation[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robustness (computer science)Video tracking0202 electrical engineering electronic engineering information engineeringClutterCatadioptric sensor020201 artificial intelligence & image processingComputer visionArtificial intelligenceImage sensorParticle filterbusinessImage resolution
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An insight into the electrical energy demand of friction stir welding processes: the role of process parameters, material and machine tool architectu…

2018

The manufacturing sector accounts for a high share of global electrical energy consumption and CO 2 emissions, and therefore, the environmental impact of production processes is being more and more investigated. An analysis of power and energy consumption in friction stir welding processes can contribute to the characterization of the process from a new point of view and also provide useful information about the environmental impact of the process. An in-depth analysis of electrical energy demand of friction stir welding is here proposed. Different machine tool architectures, including an industrial dedicated machine, have been used to weld aluminum and steel sheets under different process …

0209 industrial biotechnologybusiness.product_categoryFriction stir weldingComputer scienceSustainable manufacturing02 engineering and technologyWeldingIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationlawFriction stir weldingProcess engineeringSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionebusiness.industryElectric potential energyMechanical EngineeringProcess (computing)Computer Science Applications1707 Computer Vision and Pattern RecognitionEnergy consumptionComputer Science ApplicationsMachine toolPower (physics)Energy efficiencyControl and Systems EngineeringbusinessPower studySoftwareEfficient energy use
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Design and Calibration of a Specialized Polydioptric Camera Rig

2017

International audience; It has been observed in the nature that all creatures have evolved highly exclusive sensory organs depending on their habitat and the form of resources availability for their survival. In this project, a novel omnidirectional camera rig, inspired from natural vision sensors, is proposed. It is exclusively designed to operate for highly specified tasks in the field of mobile robotics. Navigation problems on uneven terrains and detection of the moving objects while the robot is itself in motion are the core problems that omnidirectional systems tackle. The proposed omnidirectional system is a compact and a rigid vision system with dioptric cameras that provide a 360° f…

0209 industrial biotechnologydepthComputer Networks and CommunicationsMachine visionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONstereo-vision02 engineering and technologylcsh:QA75.5-76.95020901 industrial engineering & automationOmnidirectional cameraArtificial Intelligence[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringStructure from motionComputer visionSmart cameraComputingMethodologies_COMPUTERGRAPHICSpolydioptricstructure from motionbusiness.industryRGB-DRoboticscalibrationomnidirectionalStereopsisHardware and ArchitectureICT[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicRobot020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceArtificial intelligence[ SPI.OPTI ] Engineering Sciences [physics]/Optics / PhotonicbusinessSoftwareStereo cameraInformation Systems
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New delay-dependent stability of Markovian jump neutral stochastic systems with general unknown transition rates

2015

This paper investigates the delay-dependent stability problem for neutral Markovian jump systems with generally unknown transition rates GUTRs. In this neutral GUTR model, each transition rate is completely unknown or only its estimate value is known. Based on the study of expectations of the stochastic cross-terms containing the integral, a new stability criterion is derived in terms of linear matrix inequalities. In the mathematical derivation process, bounding stochastic cross-terms, model transformation and free-weighting matrix are not employed for less conservatism. Finally, an example is provided to demonstrate the effectiveness of the proposed results.

0209 industrial biotechnologygeneral uncertain transition rateStability criterionModel transformationDelay-dependent stability02 engineering and technologyTransition rate matrixStability (probability)neutral-type stochastic systemTheoretical Computer ScienceDelay dependentMatrix (mathematics)Markovian jump020901 industrial engineering & automationControl theoryBounding overwatch0202 electrical engineering electronic engineering information engineeringApplied mathematicsMathematicscomputer.programming_languageDelay-dependent stability; neutral-type stochastic system;Markovian switching; general uncertain transition rate; mean-square exponentially stable; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionMarkovian switchingComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsControl and Systems Engineeringmean-square exponentially stable020201 artificial intelligence & image processingcomputerInternational Journal of Systems Science
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