Search results for "Computer engineering"

showing 10 items of 164 documents

Non-Model Based Method for an Automation of 3D Acquisition and Post-Processing

2008

Most of the automation for 3D acquisition concerns objects with simple shape, like mechanical parts. For cultural heritage artefacts, the process is more complex, and it doesn't exist general solution nowadays. This paper presents a method to generate a complete 3D model of cultural heritage artefacts. In a first step, MVC is used to solve the view planning problem. Then, holes remaining in 3D model are detected, and their features are calculated to finish acquisition. Different post-processing are applied on each view to increase quality of the 3D model. This procedure has been tested with simulated scanner, before being implemented on a motion system with five degrees of freedom.

Computer engineering. Computer hardwareEngineering drawingScannerScanners automationComputer sciencemedia_common.quotation_subjectBéns del patrimoni culturalDegrees of freedom (mechanics)TK7885-7895Adquisició de 3DSimple (abstract algebra)view planningAutomatització de ScannersView planningQuality (business)scanners automationmedia_commonbusiness.industryAutomatización de ScannersProcess (computing)Adquisición de 3Dcultural heritage artefactsQA75.5-76.95Bienes del patrimonio culturalPlanificación de VistaAutomationCultural heritageElectronic computers. Computer scienceCultural heritage artefactsComputer Vision and Pattern RecognitionPlanificació de Vistabusiness3D acquisitionSoftwareMotion systemELCVIA Electronic Letters on Computer Vision and Image Analysis
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HTLS Conductors: A Way to Optimize RES Generation and to Improve the Competitiveness of the Electrical Market—A Case Study in Sicily

2018

Stringent environmental constraints make more difficult to identify new energy corridors and build new power lines. The increase in the generation of electricity from renewable energy sources (RESs) makes the operation of electrical systems increasingly difficult in some areas. The transmission system operators (TSOs), in Italy Terna, are forced to exploit the existing overhead transmission lines, increasing the possibility of dispatching energy, in particular RES, optimizing the transmission capacity. Therefore, after a brief presentation of the Sicilian electricity system and a brief description of high-temperature low-sag (HTLS) conductors, a case study is presented. It is shown how it i…

Computer engineering. Computer hardwareGeneral Computer ScienceExploitArticle SubjectComputer sciencebusiness.industry020209 energyOverhead (engineering)02 engineering and technologyReliability engineeringRenewable energyThermal resistant conductor HTLS conductor Electrical marketSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaTK7885-7895Electric power transmissionElectricity generationTransmission (telecommunications)Signal Processing0202 electrical engineering electronic engineering information engineeringElectricityElectrical and Electronic EngineeringResilience (network)businessJournal of Electrical and Computer Engineering
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Hypervisor-assisted dynamic malware analysis

2021

AbstractMalware analysis is a task of utmost importance in cyber-security. Two approaches exist for malware analysis: static and dynamic. Modern malware uses an abundance of techniques to evade both dynamic and static analysis tools. Current dynamic analysis solutions either make modifications to the running malware or use a higher privilege component that does the actual analysis. The former can be easily detected by sophisticated malware while the latter often induces a significant performance overhead. We propose a method that performs malware analysis within the context of the OS itself. Furthermore, the analysis component is camouflaged by a hypervisor, which makes it completely transp…

Computer engineering. Computer hardwareSoftware_OPERATINGSYSTEMSvirtualisointiComputer Networks and CommunicationsComputer scienceContext (language use)Static program analysiscomputer.software_genreTK7885-7895Artificial IntelligenceComponent (UML)Overhead (computing)tietoturvaMalware analysiskyberturvallisuusbusiness.industryHypervisorQA75.5-76.95haittaohjelmatComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMSTask (computing)Electronic computers. Computer scienceEmbedded systemMalwarebusinesscomputerSoftwareInformation SystemsCybersecurity
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Detection of developmental dyslexia with machine learning using eye movement data

2021

Dyslexia is a common neurocognitive learning disorder that can seriously hinder individuals’ aspirations if not detected and treated early. Instead of costly diagnostic assessment made by experts, in the near future dyslexia might be identified with ease by automated analysis of eye movements during reading provided by embedded eye tracking technology. However, the diagnostic machine learning methods need to be optimized first. Previous studies with machine learning have been quite successful in identifying dyslexic readers, however, using contrasting groups with large performance differences between diagnosed and good readers. A practical challenge is to identify also individuals with bord…

Computer engineering. Computer hardwareSupport Vector MachineComputer sciencemedia_common.quotation_subject02 engineering and technologyMachine learningcomputer.software_genre050105 experimental psychologyDyslexiaTK7885-7895FluencysilmänliikkeetoppimisvaikeudetReading (process)dyslexia0202 electrical engineering electronic engineering information engineeringmedicinedysleksia0501 psychology and cognitive sciencessupport vector machinemedia_commonRandom ForestRecallbusiness.industry05 social sciencesDyslexiaEye movementGeneral MedicineQA75.5-76.95diagnostiikkamedicine.diseaseRandom forestkoneoppiminenElectronic computers. Computer scienceLearning disabilityEye tracking020201 artificial intelligence & image processingArtificial intelligencemedicine.symptombusinesscomputerrandom forestArray
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Complex networks : application for texture characterization and classification

2008

This article describes a new method and approch of texture characterization. Using complex network representation of an image, classical and derived (hierarchical) measurements, we presente how to have good performance in texture classification. Image is represented by a complex networks : one pixel as a node. Node degree and clustering coefficient, using with traditionnal and extended hierarchical measurements, are used to characterize ”organisation” of textures.

Computer engineering. Computer hardwareTexture compressionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComplex networksImage processingTexture (geology)TK7885-7895Image textureImage processingAnàlisi de texturaProcesamiento de imágenestexture analysisClustering coefficientAnálisis de texturaRedes complejasPixelbusiness.industryNode (networking)Pattern recognitionProcessament d'imatgescomplex networksQA75.5-76.95Xarxes complexesComplex networkTexture analysisElectronic computers. Computer scienceComputer Science::Computer Vision and Pattern RecognitionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareELCVIA: electronic letters on computer vision and image analysis
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Real Time Image Rotation Using Dynamic Reconfiguration

2002

Abstract Field programmable gate array (FPGA) components are widely used nowdays to implement various algorithms, such as digital filtering, in real time. The emergence of dynamically reconfigurable FPGAs made it possible to reduce the number of necessary resources to carry out an image-processing task (tasks chain). In this article, an image-processing application, image rotation, that exploits the FPGAs dynamic reconfiguration method is presented. This paper shows that the choice of an implementation, static or dynamic reconfiguration, depends on the nature of the application. A comparison is carried out between the dynamic and the static reconfiguration using two criteria: cost and perfo…

Computer scienceBlock diagramControl reconfigurationImage processingTask (computing)Computer engineeringSignal ProcessingComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringField-programmable gate arrayDynamic methodReal-time operating systemImage restorationSimulationReal-Time Imaging
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Improving Lossless Image Compression with Contextual Memory

2019

With the increased use of image acquisition devices, including cameras and medical imaging instruments, the amount of information ready for long term storage is also growing. In this paper we give a detailed description of the state-of-the-art lossless compression software PAQ8PX applied to grayscale image compression. We propose a new online learning algorithm for predicting the probability of bits from a stream. We then proceed to integrate the algorithm into PAQ8PX&rsquo

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONgeometric weightingData_CODINGANDINFORMATIONTHEORY02 engineering and technologylcsh:TechnologylosslessGrayscale030218 nuclear medicine & medical imagingImage (mathematics)lcsh:Chemistry03 medical and health sciences0302 clinical medicineProbabilistic methodSoftware0202 electrical engineering electronic engineering information engineeringprobabilistic methodGeneral Materials Sciencelcsh:QH301-705.5InstrumentationFluid Flow and Transfer ProcessesLossless compressioncontextual informationlcsh:Tbusiness.industryProcess Chemistry and TechnologyGeneral EngineeringEnsemble learninglcsh:QC1-999image compressionComputer Science ApplicationsTerm (time)lcsh:Biology (General)lcsh:QD1-999Computer engineeringlcsh:TA1-2040ensemble learning020201 artificial intelligence & image processinglcsh:Engineering (General). Civil engineering (General)businesslcsh:PhysicsImage compressionApplied Sciences
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Adapting hierarchical bidirectional inter prediction on a GPU-based platform for 2D and 3D H.264 video coding

2013

The H.264/AVC video coding standard introduces some improved tools in order to increase compression efficiency. Moreover, the multi-view extension of H.264/AVC, called H.264/MVC, adopts many of them. Among the new features, variable block-size motion estimation is one which contributes to high coding efficiency. Furthermore, it defines a different prediction structure that includes hierarchical bidirectional pictures, outperforming traditional Group of Pictures patterns in both scenarios: single-view and multi-view. However, these video coding techniques have high computational complexity. Several techniques have been proposed in the literature over the last few years which are aimed at acc…

Computer scienceReal-time computingGraphics processing unitComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunications020207 software engineering02 engineering and technologyData_CODINGANDINFORMATIONTHEORYHierarchical bidirectional picturesScalable Video CodingComputer engineeringMotion estimation0202 electrical engineering electronic engineering information engineeringH.264/AVCVideo codingEncoderContext-adaptive binary arithmetic codingGroup of picturesContext-adaptive variable-length codingEURASIP Journal on Advances in Signal Processing
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Metrics in method engineering

1995

So many software development methods have been introduced in the last decade, that one can talk about a “methodology jungle”. To aid the method developers and evaluators in fighting their way through this jungle we propose a systematic approach for measuring properties of methods. We describe two sets of metrics, which measure the complexity of diagrammatic specification techniques on the one hand, and of complete systems development methods on the other hand. Proposed metrics provide a relatively fast and simple way to analyse the technique (or method) properties, and when accompanied with other selection criteria, can be used for estimating the cost of learning the technique and the relat…

Computer sciencebusiness.industryMethod engineeringSearch-based software engineeringSoftware developmentMachine learningcomputer.software_genreInformation engineeringArchitecture tradeoff analysis methodComputer engineeringSoftware constructionSoftware systemArtificial intelligencebusinessComputer-aided software engineeringcomputer
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Real-Time 3D Face Acquisition Using Reconfigurable Hybrid Architecture

2007

Acquiring 3D data of human face is a general problem which can be applied in face recognition, virtual reality, and many other applications. It can be solved using stereovision. This technique consists in acquiring data in three dimensions from two cameras. The aim is to implement an algorithmic chain which makes it possible to obtain a three-dimensional space from two two-dimensional spaces: two images coming from the two cameras. Several implementations have already been considered. We propose a new simple real-time implementation based on a hybrid architecture (FPGA-DSP), allowing to consider an embedded and reconfigurable processing. Then we show our method which provides depth map of …

Data processingComputer scienceReal-time computinglcsh:Electronicslcsh:TK7800-8360Virtual realityMetaverseFacial recognition systemComputer engineeringDepth mapFace (geometry)Pattern recognition (psychology)Signal ProcessingReference architectureElectrical and Electronic EngineeringInformation SystemsEURASIP Journal on Image and Video Processing
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