Search results for " image processing."

showing 10 items of 2265 documents

Machine Learning Models for Measuring Syntax Complexity of English Text

2019

In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.

naturallanguage-processingText simplificationComputer science02 engineering and technologyEnglish languagecomputer.software_genredeep-learningtext-simplification03 medical and health sciences0302 clinical medicinetext-evaluation0202 electrical engineering electronic engineering information engineeringText-simplification Deep-learning Machine-learningSequenceSyntax (programming languages)Settore INF/01 - Informaticabusiness.industryDeep learningSupport vector machineRecurrent neural network020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer030217 neurology & neurosurgerySentenceNatural language processing
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A Navigation and Augmented Reality System for Visually Impaired People

2021

In recent years, we have assisted with an impressive advance in augmented reality systems and computer vision algorithms, based on image processing and artificial intelligence. Thanks to these technologies, mainstream smartphones are able to estimate their own motion in 3D space with high accuracy. In this paper, we exploit such technologies to support the autonomous mobility of people with visual disabilities, identifying pre-defined virtual paths and providing context information, reducing the distance between the digital and real worlds. In particular, we present ARIANNA+, an extension of ARIANNA, a system explicitly designed for visually impaired people for indoor and outdoor localizati…

navigation; visually impaired; computer vision; augmented reality; cultural context; convolutional neural network; machine learning; hapticExploitComputer scienceconvolutional neural networkImage processingContext (language use)02 engineering and technologyTP1-1185BiochemistryConvolutional neural networkArticleMotion (physics)computer visionAnalytical ChemistrySettore ING-INF/04 - AutomaticaArtificial IntelligenceHuman–computer interactioncultural context0202 electrical engineering electronic engineering information engineeringHumansElectrical and Electronic EngineeringnavigationInstrumentationHaptic technologySettore ING-INF/03 - TelecomunicazioniChemical technology020206 networking & telecommunicationsAtomic and Molecular Physics and Opticsaugmented realitymachine learning020201 artificial intelligence & image processingAugmented realityvisually impairedNeural Networks ComputerhapticAlgorithmsVisually Impaired PersonsPATH (variable)augmented reality computer vision convolutional neural network cultural context haptic machine learning navigation visually impaired Algorithms Artificial Intelligence Humans Neural Networks Computer Augmented Reality Visually Impaired PersonsSensors
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A novel technique for opus vermiculatum mosaic rendering

2006

In this paper we present a method to generate a digital mosaic starting from a raster input image. Mosaics generation of artistic quality is challenging. The basic elements, the tiles, typically small polygons, must be packed tightly, emphasizing orientations chosen by the artist. An adhoc boundaries detection have to be performed according to the directional guidelines. Different mosaic styles can be automatically rendered, depending on artistic techniques considered (“opus musivum”, “opus vermiculatum”, etc.). The proposed method is able to reproduce the colors of the original image emphasizing relevant boundaries by placing tiles along their direction. The boundaries detection is based o…

nefotorealistické vykreslováníopus varmiculatummozaikamosaicmosaic non photorealistic rendering distance transform image processing and enhancement statistical region mergingzpracování obrazunon-photorealistic renderingComputingMethodologies_COMPUTERGRAPHICSimage processing
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Ghost stochastic resonance in FitzHugh–Nagumo circuit

2014

International audience; The response of a neural circuit submitted to a bi-chromatic stimulus and corrupted by noise is investigated. In the presence of noise, when the spike firing of the circuit is analysed, a frequency not present at the circuit input appears. For a given range of noise intensities, it is shown that this ghost frequency is almost exclusively present in the interspike interval distribution. This phenomenon is for the first time shown experimentally in a FitzHugh-Nagumo circuit.

noise[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingInterval distribution[ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingStochastic ResonanceComputer Science::Hardware ArchitectureComputer Science::Emerging Technologies[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingElectronic engineering[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Electrical and Electronic EngineeringMathematicsCircuit noiseQuantitative Biology::Neurons and CognitionArtificial neural networkStochastic processMathematical analysisneural networksFitzhugh nagumo[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsHarmonics[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Nonlinear network analysis[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingElectronics Letters
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HDR-­ARtiSt: a FPGA-­based Smart Camera for High Dynamic Range color video from multiple exposures

2014

International audience; A camera is able to capture only a part of a high dynamic range scene information. The same scene can be fully perceived by the human visual system. This is true especially for real scenes where the difference in light intensity between the dark areas and bright areas is high. The imaging technique which can overcome this problem is called HDR (High Dynamic Range). It produces images from a set of multiple LDR images (Low Dynamic Range), captured with different exposure times. This technique appears as one of the most appropriate and a cheap solution to enhance the dynamic range of captured environments. We developed an FPGA-based smart camera that produces a HDR liv…

parallel processingFPGA implementationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSmart cameraHigh dynamic rangeimage enhancement[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingimage reconstruction[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Iterative Learning Applied to Hydraulic Pressure Control

2018

This paper addresses a performance limiting phenomenon that may occur in the pressure control of hydraulic actuators subjected to external velocity disturbances. It is demonstrated that under certain conditions a severe peaking of the control error may be observed that significantly degrades the performance of the system due to the presence of nonlinearities. The phenomenon is investigated numerically and experimentally using a system that requires pressure control of two hydraulic cylinders. It is demonstrated that the common solution of feed forwarding the velocity disturbance is not effective in reducing the peaking that occurs as a result of this phenomenon. To improve the system perfor…

peaking phenomenon0209 industrial biotechnologylimit cyclesComputer scienceControl (management)Iterative learning controliterative learning controlHydraulic pressure control02 engineering and technologyHydraulic pressurelcsh:QA75.5-76.95Computer Science Applications020901 industrial engineering & automationControl and Systems EngineeringControl theoryModeling and Simulation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceSoftwareModeling, Identification and Control: A Norwegian Research Bulletin
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Active lighting applied to three-dimensional reconstruction of specular metallic surfaces by polarization imaging

2006

International audience; In the field of industrial vision, the three-dimensional inspection of highly reflective metallic objects is still a delicate task. We deal with a new automated three-dimensional inspection system based on polarization analysis. We first present an extension of the shape-from-polarization method for dielectric surfaces to metallic surfaces. Then, we describe what we believe to be a new way of solving the ambiguity concerning the normal orientation with an active lighting system. Finally, applications to shape-defect detection are discussed, and the efficiency of the system to discriminate defects on specular metallic objects made by stamping and polishing is presente…

polarization imagingComputer scienceMaterials Science (miscellaneous)Polishing02 engineering and technologyDielectric[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciencesIndustrial and Manufacturing EngineeringPhotometry010309 opticsImaging Three-DimensionalOptics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Image Interpretation Computer-AssistedMaterials Testing0103 physical sciences0202 electrical engineering electronic engineering information engineeringScattering RadiationSpecular reflectionBusiness and International Managementactive lightingLightingScatteringbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Equipment DesignStampingFresnel equationsPolarization (waves)metallic surfacesEquipment Failure AnalysisMetals020201 artificial intelligence & image processingMicroscopy PolarizationbusinessRefractive indexAlgorithmsshape from polarization
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Interactively Learning the Preferences of a Decision Maker in Multi-objective Optimization Utilizing Belief-rules

2020

Many real life problems can be modelled as multiobjective optimization problems. Such problems often consist of multiple conflicting objectives to be optimized simultaneously. Multiple optimal solutions exist to these problems, and a single solution cannot be said to be the best without preferences given by a domain expert. Preferences can be used to find satisfying solutions: optimal solutions, which best match the expert’s preferences. To model the preferences of the expert, and aid him/her in finding satisfying solutions, a novel method is proposed. The method utilizes machine learning combined with belief-rule based systems to adaptively train a belief rule based system to learn a domai…

preference modellingmallintaminenOptimization problemLinear programmingComputer scienceProcess (engineering)päätöksentukijärjestelmät02 engineering and technologyMachine learningcomputer.software_genreMulti-objective optimizationbelief-rule based systemsdecision makingoptimointiConflicting objectives020204 information systems0202 electrical engineering electronic engineering information engineeringPreference (economics)business.industryDecision makermonitavoiteoptimointiExpert systemmachine learningkoneoppiminenmultiple objective optimization020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerPython2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Employer brand management: methodological aspects

2021

У статті обгрунтовано необхідність залучення зовнішніх ресурсів для управління брендом роботодавця. У роботі авторами було схематизовано процес прийняття рішення щодо обгрунтованого вибору компаній аутсорсерів. При цьому сформовано систему критеріїв здійснення такого вибору, що включає як вимоги до компанії-аутсорсера, так і вимоги до майбутнього проекту: рівень вдалих попередніх проектів; рівень задоволеності клієнтів; досвід роботи в Україні; середня вартість послуг аутсорсингової компанії з розробки проекту; термін розробки проекту; комплексність розроблених рекомендацій щодо просування бренду роботодавця; термін дії проекту; гнучкість проекту; рівень складності впровадження проекту; сер…

project metricsKnowledge managementulkoistaminenbrändäysVIKOR method02 engineering and technologyBiologyOutsourcingаутсорсинг0502 economics and business0202 electrical engineering electronic engineering information engineeringemployer attractivenessMulticriteria analysisinternal and external resources for the employer brand formationmulticriteria analysisVIKOR methodbusiness.industryProject metricsпривабливість роботодавця05 social sciencesметрики проектівметод VIKORvetovoimaisuustyönantajatбренд роботодавцяbränditBrand managementбагатокритеріальний аналізoutsourcingemployer brand020201 artificial intelligence & image processingbusinessвнутрішні й зовнішні ресурси формування бренду роботодавця050203 business & managementMarketing and Management of Innovations
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Scheduling under the network of temporo-spatial proximity relationships

2017

We discuss and introduce to the schedulingeld a novel, qualitative optimization model - scheduling under the network of temporo-spatial proximity relationships.We introduce a half perimeter proximity measure as an objective of scheduling.We present and evaluate an incremental Sequence Pair neighborhood evaluation algorithm, applicable to both scheduling and rectangle packing problems in VLSI industry. In this paper, we discuss and introduce to the scheduling field a novel optimization objective - half perimeter proximity measure in scheduling under the network of temporo-spatial proximity relationships. The presented approach enables to qualitatively express various reasons of scheduling ce…

proximity relationshipsMathematical optimizationGeneral Computer Sciencerectangle packing problemEvaluation algorithm0102 computer and information sciences02 engineering and technologyIntegrated circuitManagement Science and Operations Research01 natural scienceslaw.inventionScheduling (computing)lawApproximation error0202 electrical engineering electronic engineering information engineeringschedulingComputer Science::Operating SystemsMathematicsVery-large-scale integrationProximity measureneighborhood evaluation010201 computation theory & mathematicsModeling and Simulation020201 artificial intelligence & image processingsequence pairRectangle packingComputers & Operations Research
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