Search results for "Abstract"

showing 10 items of 1959 documents

Deriving and comparing deduplication techniques using a model-based classification

2015

Data deduplication has been a hot research topic and a large number of systems have been developed. These systems are usually seen as an inherently linked set of characteristics. However, a detailed analysis shows independent concepts that can be used in other systems. In this work, we perform this analysis on the main representatives of deduplication systems. We embed the results in a model, which shows two yet unexplored combinations of characteristics. In addition, the model enables a comprehensive evaluation of the representatives and the two new systems. We perform this evaluation based on real world data sets.

Set (abstract data type)Work (electrical)Computer scienceData deduplicationData miningcomputer.software_genrecomputerReal world dataProceedings of the Tenth European Conference on Computer Systems
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Mobile agents, globus and resource discovery

2004

Publisher Summary This chapter discusses grid technology and some related problem. The overview of grids, in terms of application fields and needed protocols is given. The common feature of all grid architectures is a coordinated and controlled resource sharing between the members of a dynamic multi-institutional virtual community. The members of such a community agree on which resources will be shared and which members of the community will be enabled to access these resources, thus defining a set of sharing rules and permissions. The Globus project is discussed, which is nowadays the de facto standard for grid environments, with emphasis on its resource discovery components. Finally, the …

Set (abstract data type)World Wide WebResource (project management)Grid computingComputer scienceScalabilitycomputer.software_genreGridcomputerVirtual communityShared resource
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Detection and Isolation of Switches in Point Clouds of the German Railway Network

2015

In order to obtain an automated system of railway management, it is necessary to automatically detect, isolate and identify all switches in a point cloud which represents the railway. To realize this automated system of detection, a set of pre-processing steps is applied. The system begins by detecting and isolating tracks through application of a mask on each section of the point cloud. Then, it does a denoising through mathematical morphology and a compression in replacing a group of points by their centroid. Finally, it closes tracks holes through extrapolation. After that, the system does a low-level processing to search for all intersections between tracks, and records information on t…

Set (abstract data type)business.industryComputer sciencePoint cloudCentroidSegmentationComputer visionArtificial intelligenceIsolation (database systems)Image segmentationMathematical morphologybusinessElectronic mail2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Validation of Predictive Approaches for Ductile Fracture in Cold Extrusion

1999

Cold extrusion is sometimes accompanied by some typical internal defects, known in the technical literature as “central bursts”, which dramatically could affect the component behaviour during its service life. Several researchers, following both analytical and numerical approaches have attempted central bursting prediction in extrusion. Among the latter several approaches have been proposed in the literature, namely the ones based on the use of ductile fracture criteria and the ones founded on the damage mechanics analysis. Each one of these approaches presents some advantages and drawbacks. In the paper the authors analyze a set of cold extrusion processes on AISI 1040 specimens at varying…

Set (abstract data type)business.industryProcess (engineering)Computer scienceDamage mechanicsComponent (UML)Service lifeFracture (geology)ExtrusionStructural engineeringbusinessTechnical literature
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PARAMETER BOUNDED ESTIMATION FOR QUASISPECIES MODELS OF MOLECULAR EVOLUTION

2006

Abstract The Quasispecies models identification for Evolutionary Dynamics is considered in a worst-case deterministic setting. These models analyze the DNA and RNA evolution or describe the population dynamics of viruses and bacteria. In this paper we identify the Fitness and the Replication Probability parameters of a genetic sequences, subject to a set of stringent constraints to have physical meaning and to guarantee positiveness. The conditional central estimate and the Uncertainty Intervals are determined. The effectiveness of the proposed procedure has been illustrated by means of simulation experiments while tests on real data are under concern.

Set (abstract data type)education.field_of_studyMathematical optimizationIdentification (information)Molecular evolutionBounded functionPopulationReplication (statistics)Viral quasispeciesBiologyeducationEvolutionary dynamicsIFAC Proceedings Volumes
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Detection of Anomalous HTTP Requests Based on Advanced N-gram Model and Clustering Techniques

2013

Nowadays HTTP servers and applications are some of the most popular targets for network attacks. In this research, we consider an algorithm for HTTP intrusions detection based on simple clustering algorithms and advanced processing of HTTP requests which allows the analysis of all queries at once and does not separate them by resource. The method proposed allows detection of HTTP intrusions in case of continuously updated web-applications and does not require a set of HTTP requests free of attacks to build the normal user behaviour model. The algorithm is tested using logs acquired from a large real-life web service and, as a result, all attacks from these logs are detected, while the numbe…

Set (abstract data type)n-gramResource (project management)Computer scienceServerAnomaly detectionIntrusion detection systemData miningWeb serviceCluster analysiscomputer.software_genrecomputer
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Homogeneous Suslinian Continua

2011

AbstractA continuumis said to be Suslinian if it does not contain uncountably many mutually exclusive non-degenerate subcontinua. Fitzpatrick and Lelek have shown that a metric Suslinian continuum X has the property that the set of points at which X is connected im kleinen is dense in X. We extend their result to Hausdorff Suslinian continua and obtain a number of corollaries. In particular, we prove that a homogeneous, non-degenerate, Suslinian continuum is a simple closed curve and that each separable, non-degenerate, homogenous, Suslinian continuum is metrizable.

Set (abstract data type)symbols.namesakePure mathematicsProperty (philosophy)Continuum (topology)General MathematicsMetrization theoremMetric (mathematics)symbolsHausdorff spaceJordan curve theoremSeparable spaceMathematicsCanadian Mathematical Bulletin
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An Introduction to Computational Complexity

2016

This chapter is not strictly about algebra. However, this chapter offers a set of mathematical and computational instruments that will allow us to introduce several concepts in the following chapters. Moreover, the contents of this chapter are related to algebra as they are ancillary concepts that help (and in some cases allow) the understanding of algebra.

Set (abstract data type)symbols.namesakeTheoretical computer scienceComputational complexity theoryComputer scienceAsymptotic computational complexityWorst-case complexitysymbolsComputational problemAlgebra over a fieldComputational resourceHuffman coding
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Segmentation and feature extraction in capillaroscopic videos

2015

This contribution describes a method to select regions of interest as capillaries of the oral mucosa and to extract their main features useful for real diagnosis purposes. A discrete version of the wavelet transform has been adopted for segmenting the images coming from video sequences acquired by a prototype capillaroscopic, able to put in evidence the red blood flow. A set of proper characteristics is automatically computed for a correct evaluation of the peripheral microcirculation.

Settore INF/01 - InformaticaComputer sciencebusiness.industryFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformVideo sequenceSet (abstract data type)Oral capillaroscopic videos wavelet segmentation feature extractionPeripheral microcirculationComputer visionSegmentationArtificial intelligencebusiness
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M-VIF: A machine-vision based on information fusion

2002

The authors describe a new architecture for machine vision, which is based on information fusion approach. Its general design has been developed by using a formal computation model that integrates three main ingredients of the visual computation: the data, the models, and the algorithms. The hardware design and the software environment of M-VIF are also given. The simulation of M-VIF is under development on the HERMIA-machine.

Settore INF/01 - InformaticaMachine visionComputer sciencebusiness.industryComputationMachine learningcomputer.software_genreAbstract machineInformation fusionSoftwareComputer architectureactive vision machine vision image analysis parallel processing.Artificial intelligenceArchitecturebusinesscomputer
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