Search results for "clou"

showing 10 items of 830 documents

1<sup>st</sup> International Workshop on Sustainable Internet and Internet for Sustainability (SustaInet 2011

2011

We are pleased to present the proceedings of the First International Workshop on Sustainable Internet and Internet for Sustainability (SustaInet 2011), held in conjunction with WoWMoM 2011.

World Wide WebSmart gridbusiness.industryComputer scienceInternet privacySustainabilityLocal area networkThe InternetCloud computingInternet of ThingsbusinessConjunction (grammar)2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
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Semantic Annotation and Retrieval of Services in the Cloud

2013

Recently, the economy has taken a downturn, which has forced many companies to reduce their costs in IT. This fact has, conversely, benefited the adoption of innovative computing models such as cloud computing, which allow businesses to reduce their fixed IT costs through outsourcing. As the number of cloud services available on the Internet grows, it is more and more difficult for companies to find those that can meet their needs. Under these circumstances, enabling a semantically-enriched search engine for cloud solutions can be a major breakthrough. In this paper, we present a fully-fledged platform based on semantics that (1) assist in generating a semantic description of cloud services…

World Wide Webbusiness.industryComputer scienceInformation and Communications TechnologySemantic computingCloud computingThe InternetSemantic Web StackSemanticsbusinessImage retrievalOutsourcing
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Resource Self-management under an SLA within a Cloud Networking Environment

2015

International audience; Today, cloud networking is one of the recent research areas in the cloud computing research communities. The main drawback of cloud networking consists in the lack of Quality of Service (QoS) guarantee and management in conformance with a corresponding Service Level Agreement (SLA). In this paper, we propose a framework for self-establishing an end-to-end SLA between a Cloud Service User (CSU) and several Cloud Service Providers (CSPs) in a cloud networking environment (inter-cloud Broker and Federation architecture). Then, we propose the self-management of cloud resources under the established SLA using specific autonomic cloud managers. We simulate our proposed fra…

[ INFO ] Computer Science [cs]Cloud NetworkingAutonomic ComputingSelf-managementService Level Agreement[INFO]Computer Science [cs][INFO] Computer Science [cs]Quality of Service.
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Toward a virtual reconstruction of an antique three-dimensional marble puzzle

2017

International audience; Abstract | Introduction | Related Work | Acquisition Setup, Proposed Prototype: Calibration and Visibility | Preprocessing of Scanned Three-Dimensional Fragment Data | Processing of Scanned Three-Dimensional Surface Data: Matching | Conclusion and Future Works | Appendices | Acknowledgments | ReferencesAbstract. The reconstruction of broken objects is an important field of research for many applications, such as art restoration, surgery, forensics, and solving puzzles. In archaeology, the reconstruction of broken artifacts is a very time-consuming task due to the handling of fractured objects, which are generally fragile. However, it can now be supported by three-dim…

[ INFO ] Computer Science [cs]Computer scienceAntique[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technology[SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/SurgeryField (computer science)Task (project management)Domain (software engineering)Data acquisitionComputer graphics (images)Clouds[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingVirtual reconstruction0202 electrical engineering electronic engineering information engineering[INFO.INFO-IM]Computer Science [cs]/Medical ImagingComputer visionScanning[INFO]Computer Science [cs][ SDV.IB ] Life Sciences [q-bio]/BioengineeringComputing systems[ SDV.MHEP.CHI ] Life Sciences [q-bio]/Human health and pathology/SurgeryElectrical and Electronic EngineeringScanners[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Image segmentation[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryLasers020207 software engineeringImage segmentation3D modelingCamerasAtomic and Molecular Physics and OpticsComputer Science Applications[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Calibration020201 artificial intelligence & image processingSurgery[SDV.IB]Life Sciences [q-bio]/BioengineeringArtificial intelligencebusinessAlgorithms
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Ontology and protocol secure for SCADA: Int. J. of Metadata, Semantics and Ontologies, 2014 Vol.9, No.2, pp.114 - 127

2014

International audience; In this work, we present a semantic cyber security system and we study its semantic intelligent systems vulnerabilities, focusing on the semantic attacks. For resolving semantic problems we propose a security global solution for the new generation of SCADA systems. The proposed solution aims at protecting critical semantic SCADA processes from the effects of major failures and semantic vulnerabilities in the modern IT-SCADA network. We used a security block in the global network access point, security protocols deployed in different network (OSI) levels and security ontologies deployed in security devices. We used our mixed coordinates (ECC) cryptography solution, th…

[ INFO ] Computer Science [cs]security protocolsComputer sciencedata acquisition[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]020209 energy[ INFO.INFO-CR ] Computer Science [cs]/Cryptography and Security [cs.CR]Cryptography02 engineering and technologysemantic security blockLibrary and Information SciencesComputer securitycomputer.software_genreSOAP protocolSecurity information and event management[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI][INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]SCADAModbus protocolECC cryptography0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]SCADAcontrol systemsCloud computing securityvulnerabilitiesTOMSONbusiness.industryencryption technologyembedded applicationscyber securitysupervisory controlsemantic attacksCryptographic protocolComputer security modelsecurity ontologyComputer Science ApplicationsOSI modellow latencySecurity service020201 artificial intelligence & image processingbusinesscomputerInformation SystemsComputer network
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NoC based virtualized FPGA as cloud Services

2016

International audience; Web-based applications are increasingly demanding many computationally intensive services. On the other hand, FPGA-based hardware accelerators(HwAcc) provide good performance in accelerating computationally intensive applications. In addition, some FPGAs support a dynamic partial reconfig-uration (DPR) techniques to virtualize and share the FPGA underlying hardware resources in time multiplexing during run-time to save resource and power consumption. Integrating FPGA in a cloud environment is an indispensable way to improve efficiency and provide acceleration services to demanding users. More importantly, in recent years it was proved that FPGA resources deployed in …

[ INFO.INFO-DC ] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC][INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Virtualized FPGA[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[ INFO.INFO-ES ] Computer Science [cs]/Embedded Systems[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Cloud ComputingNetwork-on-Chip[INFO.INFO-ES] Computer Science [cs]/Embedded SystemsHard- ware accelerators
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Region-based segmentation on depth images from a 3D reference surface for tree species recognition.

2013

International audience; The aim of the work presented in this paper is to develop a method for the automatic identification of tree species using Terrestrial Light Detection and Ranging (T-LiDAR) data. The approach that we propose analyses depth images built from 3D point clouds corresponding to a 30 cm segment of the tree trunk in order to extract characteristic shape features used for classifying the different tree species using the Random Forest classifier. We will present the method used to transform the 3D point cloud to a depth image and the region based segmentation method used to segment the depth images before shape features are computed on the segmented images. Our approach has be…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingFeature extractionPoint cloudComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentation[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Minimum spanning tree-based segmentation[STAT.AP] Statistics [stat]/Applications [stat.AP][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringSegmentationComputer vision[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing[STAT.AP]Statistics [stat]/Applications [stat.AP]Contextual image classificationbusiness.industry[ STAT.AP ] Statistics [stat]/Applications [stat.AP][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringPattern recognitionImage segmentation15. Life on landdepth image segmentationRandom forestdepth images from 3D point cloudsIEEE[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingsingle tree species recognitionArtificial intelligenceRange segmentationbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingForest inventory
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Shaken Snow Globes: Kinematic Tracers of the Multiphase Condensation Cascade in Massive Galaxies, Groups, and Clusters

2018

We propose a novel method to constrain turbulence and bulk motions in massive galaxies, groups and clusters, exploring both simulations and observations. As emerged in the recent picture of the top-down multiphase condensation, the hot gaseous halos are tightly linked to all other phases in terms of cospatiality and thermodynamics. While hot halos (10^7 K) are perturbed by subsonic turbulence, warm (10^4 K) ionized and neutral filaments condense out of the turbulent eddies. The peaks condense into cold molecular clouds (< 100 K) raining in the core via chaotic cold accretion (CCA). We show all phases are tightly linked via the ensemble (wide-aperture) velocity dispersion along the line o…

[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph]Astrophysics01 natural sciencesSpectral lineGalaxy groupAbsorption (logic)010303 astronomy & astrophysicsLine (formation)hydrodynamicPhysicsastro-ph.HEHigh Energy Astrophysical Phenomena (astro-ph.HE)Velocity dispersionPhysics - Fluid DynamicsComputational Physics (physics.comp-ph)active [galaxies]astro-ph.COspectroscopic [techniques]Astrophysics - High Energy Astrophysical PhenomenaPhysics - Computational PhysicsAstrophysics - Cosmology and Nongalactic Astrophysics[ INFO ] Computer Science [cs]Cosmology and Nongalactic Astrophysics (astro-ph.CO)astro-ph.GAgalaxies: activeFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsISM [radio lines]0103 physical sciences[ PHYS.PHYS.PHYS-GEN-PH ] Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]/dk/atira/pure/subjectarea/asjc/1900/1912[INFO]Computer Science [cs]Astrophysics::Galaxy Astrophysicsradio lines: ISM010308 nuclear & particles physicsMolecular cloudturbulenceFluid Dynamics (physics.flu-dyn)Astronomy and AstrophysicsAstronomy and AstrophysicAstrophysics - Astrophysics of GalaxiesX-rays: galaxies: clusterGalaxyAccretion (astrophysics)[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]physics.flu-dynphysics.comp-phSpace and Planetary ScienceX-rays: galaxies: clustersAstrophysics of Galaxies (astro-ph.GA)hydrodynamics/dk/atira/pure/subjectarea/asjc/3100/3103galaxies: clusters [X-rays][PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]techniques: spectroscopic
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The 30 Year Search for the Compact Object in SN 1987A

2018

Despite more than 30 years of searches, the compact object in Supernova (SN) 1987A has not yet been detected. We present new limits on the compact object in SN 1987A using millimeter, near-infrared, optical, ultraviolet, and X-ray observations from ALMA, VLT, HST, and Chandra. The limits are approximately 0.1 mJy ($0.1\times 10^{-26}$ erg s$^{-1}$ cm$^{-2}$ Hz$^{-1}$) at 213 GHz, 1 Lsun ($6\times 10^{-29}$ erg s$^{-1}$ cm$^{-2}$ Hz$^{-1}$) in optical if our line-of-sight is free of ejecta dust, and $10^{36}$ erg s$^{-1}$ ($2\times 10^{-30}$ erg s$^{-1}$ cm$^{-2}$ Hz$^{-1}$) in 2-10 keV X-rays. Our X-ray limits are an order of magnitude less constraining than previous limits because we use a…

[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph]AstrophysicsPhysical Chemistry01 natural sciences7. Clean energyAtomicLuminosityParticle and Plasma PhysicsQB460Astrophysics::Solar and Stellar AstrophysicsAbsorption (logic)10. No inequality010303 astronomy & astrophysicsQBHigh Energy Astrophysical Phenomena (astro-ph.HE)Physicsastro-ph.HEAccretion (meteorology)SUPERNOVA REMNANT 1987ASupernovaAstrophysics - High Energy Astrophysical PhenomenaAstronomical and Space SciencesPhysical Chemistry (incl. Structural)NEUTRON-STARSCIRCUMSTELLAR RINGX-RAYSAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesBLUE SUPERGIANTSAstrophysics::Cosmology and Extragalactic AstrophysicsCompact starAstronomy & Astrophysicsstars: neutronneutron [stars]Pulsarindividual [supernovae]0103 physical sciencesblack holes [stars]NuclearINTEGRAL FIELD SPECTROSCOPY010306 general physicsUNDERGROUND SCINTILLATION TELESCOPEsupernovae: individualAstrophysics::Galaxy AstrophysicsOrganic ChemistryMolecularAstronomy and AstrophysicsHUBBLE-SPACE-TELESCOPEEffective temperatureNeutron starRAY EMISSION-LINESPhysics and Astronomyindividual (SN 1987A) [supernovae]13. Climate actionSpace and Planetary ScienceLARGE-MAGELLANIC-CLOUD[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]stars: black holes
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3D part inspection path planning of a laser scanner with control on the uncertainty

2011

International audience; This article concerns the measurement process of mechanical parts using laser scanners. From the point of view of industrial applications, the objective is to guarantee the measurement accuracy during the scanning with regard to the geometrical product specifications. The proposed method can be summarized as follow: the first step consists of analyzing the interval of tolerance for the different specifications and to attribute to every geometrical entity a maximal uncertainty of measurement. This uncertainty depends on the angle of incidence between the laser plane and the scanned surface. In the second step, an approach based on the concept of visibility is used fro…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyEngineeringLaser scanningPoint cloud[PHYS.MECA.GEME]Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]02 engineering and technologyInterval (mathematics)01 natural sciencesIndustrial and Manufacturing Engineeringthree-dimensional inspectionlaser sensor010309 optics020901 industrial engineering & automation0103 physical sciencesComputer visionPoint (geometry)Motion planninguncertainties of measurementbusiness.industryscanning pathVisibility (geometry)visibilityComputer Graphics and Computer-Aided DesignComputer Science ApplicationsMetrology[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph][ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]Measurement uncertaintyArtificial intelligencebusiness
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