Search results for "Image"

showing 10 items of 6818 documents

Development of target cost – By the owner or together with Contractors - Target Value Design

2021

Abstract Cost growth and cost overrun of projects is a well-researched topic, but still a recurring problem. Some of the problems may be attributed to the difficulties of setting a realistic cost estimate in the early phase of the project. This paper aims to give insight o the challenge of setting realistic cost targets. We particularly focus on large and complex infrastructure projects in the context on the Norwegian construction industry. Four large infrastructure projects have been examined, all used a variation of target cost and was more or less successful in their implementation of this approach. Through interviews and document study we identified that when setting cost targets for pr…

Cost estimateComputer scienceVDP::Social science: 200::Economics: 210020206 networking & telecommunicationsContext (language use)02 engineering and technologyCost overrunRisk analysis (engineering)Value (economics)0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingEngineering design processSet (psychology)General Environmental ScienceTarget costing
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Transition from self tilt to object tilt during maintained lateral tilt in parabolic flight.

1991

Abstract 19 young healthy subjects were subjected to parabolic rollercoaster flight. A horizontal luminous line was seen by the subjects in a headfixed goggle device. During the hypergravic phases of parabolic flight the luminous line seemed to rotate into and during the hypogravic phase against the direction of static head tilt. Ocular counter rotation and activity of the neck position receptors cannot explain these subjective rotations. We conclude that information from the otolith system, converging with visual information within the brain, dislocated the headfixed visual target line. While the retinal image of the luminous line remains unchanged, loading and unloading the otoliths in pa…

Counter rotationgenetic structuresEye MovementsRotationHead tiltParabolic flightPhase (waves)Aerospace EngineeringHypergravityOtolithic MembraneOpticsHumansPhysicsbusiness.industryWeightlessnessHealthy subjectsSpace FlightVestibular Function TestsProprioceptionRetinal imageTilt (optics)Head MovementsLine (geometry)Visual Perceptionsense organsbusinessActa astronautica
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Model predictive control for continuous lactide ring‐opening polymerization processes

2020

International audience; Polylactic acid (PLA) is an attractive environment-friendly thermoplastic that is bio-sourced and biodegradable. PLA is industrially produced by the ring-opening polymerization of Lactide. This reaction is sensitive to drifts in the operating conditions and impurities in the raw materials that may affect the reaction rate as well as the polymer properties, which can be very costly in continuous processes. It is therefore crucial to employ a control strategy that allows recovering the nominal conditions and maintaining the desired properties and conversion level in case of drift. Three control strategies are discussed in this paper: Proportional-Integral controller (P…

Coupling0209 industrial biotechnologyMaterials scienceLoop reactoroptimisationProcess (computing)PIPID controller02 engineering and technology7. Clean energyPolylactic acidNonlinear systemModel predictive control020901 industrial engineering & automationPolynomial and rational function modelingControl and Systems EngineeringControl theoryCascade0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringModel predictive control
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Measuring Spatiotemporal Dependencies in Bivariate Temporal Random Sets with Applications to Cell Biology

2008

Analyzing spatiotemporal dependencies between different types of events is highly relevant to many biological phenomena (e.g., signaling and trafficking), especially as advances in probes and microscopy have facilitated the imaging of dynamic processes in living cells. For many types of events, the segmented areas can overlap spatially and temporally, forming random clumps. In this paper, we model the binary image sequences of two different event types as a realization of a bivariate temporal random set and propose a nonparametric approach to quantify spatial and spatiotemporal interrelations using the pair correlation, cross-covariance, and the Ripley K functions. Based on these summary st…

Covariance functionModels BiologicalSensitivity and SpecificityPattern Recognition Automated03 medical and health sciences0302 clinical medicineArtificial IntelligenceImage Interpretation Computer-AssistedCells CulturedIndependence (probability theory)030304 developmental biologyMathematics0303 health sciencesModels Statisticalbusiness.industryStochastic processApplied MathematicsNonparametric statisticsReproducibility of ResultsEstimatorImage EnhancementEndocytosisTemporal databaseMicroscopy FluorescenceComputational Theory and Mathematics[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Computer Vision and Pattern RecognitionArtificial intelligenceCross-covariancebusinessAlgorithms030217 neurology & neurosurgerySoftwareRealization (probability)IEEE Transactions on Pattern Analysis and Machine Intelligence
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Vector anisotropic filter for multispectral image denoising

2015

In this paper, we propose an approach to extend the application of anisotropic Gaussian filtering for multi- spectral image denoising. We study the case of images corrupted with additive Gaussian noise and use sparse matrix transform for noise covariance matrix estimation. Specifically we show that if an image has a low local variability, we can make the assumption that in the noisy image, the local variability originates from the noise variance only. We apply the proposed approach for the denoising of multispectral images corrupted by noise and compare the proposed method with some existing methods. Results demonstrate an improvement in the denoising performance.

Covariance matrixbusiness.industryNoise reductionMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionNon-local meansNoisesymbols.namesakeGaussian noiseComputer Science::Computer Vision and Pattern RecognitionsymbolsComputer visionVideo denoisingArtificial intelligencebusinessMathematicsAnisotropic filteringTwelfth International Conference on Quality Control by Artificial Vision 2015
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Linear transform for simultaneous diagonalization of covariance and perceptual metric matrix in image coding

2003

Two types ofredundancies are contained in images: statistical redundancy and psychovisual redundancy. Image representation techniques for image coding should remove both redundancies in order to obtain good results. In order to establish an appropriate representation, the standard approach to transform coding only considers the statistical redundancy, whereas the psychovisual factors are introduced after the selection ofthe representation as a simple scalar weighting in the transform domain. In this work, we take into account the psychovisual factors in the de8nition of the representation together with the statistical factors, by means of the perceptual metric and the covariance matrix, res…

Covariance matrixbusiness.industryPattern recognitionCovarianceWeightingMatrix (mathematics)Redundancy (information theory)Artificial IntelligenceSignal ProcessingDiscrete cosine transformComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareTransform codingMathematicsImage compressionPattern Recognition
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Attitude estimation from polarimetric cameras

2018

International audience; In the robotic field, navigation and path planning applications benefit from a wide range of visual systems (e.g. perspective cameras, depth cameras, catadioptric cameras, etc.). In outdoor conditions, these systems capture information in which sky regions cover a major segment of the images acquired. However, sky regions are discarded and are not considered as visual cue in vision applications. In this paper, we propose to estimate attitude of Unmanned Aerial Vehicle (UAV) from sky information using a polarimetric camera. Theoretically , we provide a framework estimating the attitude from the skylight polarized patterns. We showcase this formulation on both simulate…

Cover (telecommunications)Computer sciencebusiness.industrymedia_common.quotation_subject020208 electrical & electronic engineeringPerspective (graphical)PolarimetryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologySkylightField (computer science)[SPI.AUTO]Engineering Sciences [physics]/AutomaticCatadioptric system[SPI.AUTO] Engineering Sciences [physics]/AutomaticSky0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceMotion planningbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingmedia_common[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Improving Nearest Neighbor Based Multi-target Prediction Through Metric Learning

2017

The purpose of this work is to learn specific distance functions to be applied for multi-target regression problems using nearest neighbors. The idea of preserving the order relation between input and output vectors considering their corresponding distances is used along a maximal margin criterion to formulate a specific metric learning problem. Extensive experiments and the corresponding discussion try to put forward the advantages of the proposed algorithm that can be considered as a generalization of previously proposed approaches. Preliminary results suggest that this line of work can lead to very competitive algorithms with convenient properties.

Cover treeComputer scienceNearest neighbor search0211 other engineering and technologies02 engineering and technologyk-nearest neighbors algorithmBest bin firstMargin (machine learning)Nearest-neighbor chain algorithmMetric (mathematics)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAlgorithmLarge margin nearest neighbor021101 geological & geomatics engineering
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Echo cancellation system for iso-frequency repeaters : contribution to the development of a new generation digital repeater

2014

On-frequency repeaters are a cost-effective solution to extend coverage and enhance wireless communications, especially in shadow areas. However, coupling between the receiving antenna and the transmitting antenna, called radio frequency echo, increases modulation errors and creates oscillations in the system when the echo power is high. According to the communication standards, extremely weak echoes decrease the transmission rate, while strong echoes damage electroni ccircuits because of power peaks. This thesis aims at characterizing the echo phenomenon under different modulations, and proposing an optimized solution directly integrated to industry. We have turned to digital solutions esp…

CoverageRépéteurFiltre adaptatifCouverturePrédistorsion[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingEcho cancellationAdaptive filteringMicroprocesseurMicroprocessorDétectionOn-frequencyRepeater[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingPredistortionIso-fréquenceAnnulation d’échoFPGA[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Heridas. Del martirio a la cruzada

2000

Creación artísticaPerformancesArtistasFotografía artísticaBody ArtDeconstrucciónUNESCO::HISTORIA::Historia por especialidades::Historia del arteArte contemporáneoMujeresInstalaciones artísticas:HISTORIA::Historia por especialidades::Historia del arte [UNESCO]Imagen de la mujer
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