Search results for "Abstract data type"

showing 10 items of 1140 documents

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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Graph Comparison and Artificial Models for Simulating Real Criminal Networks

2021

Network Science is an active research field, with numerous applications in areas like computer science, economics, or sociology. Criminal networks, in particular, possess specific topologies which allow them to exhibit strong resilience to disruption. Starting from a dataset related to meetings between members of a Mafia organization which operated in Sicily during 2000s, we here aim to create artificial models with similar properties. To this end, we use specific tools of Social Network Analysis, including network models (Barabási-Albert identified to be the most promising) and metrics which allow us to quantify the similarity between two networks. To the best of our knowledge, the DeltaCo…

Settore INF/01 - Informaticabusiness.industryComplex networksContext (language use)Network scienceGraph theoryComplex networkGraph comparisonMachine learningcomputer.software_genreNetwork topologyCriminal networksGraph similarityGraph theorySocial network analysisGraph (abstract data type)Graph matchingArtificial intelligencebusinessResilience (network)Social network analysiscomputer
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Graph-based minimal path tracking in the skeleton of the retinal vascular network

2012

This paper presents a semi-automatic framework for minimal path tracking in the skeleton of the retinal vascular network. The method is based on the graph structure of the vessel network. The vascular network is represented based on the skeleton of the available segmented vessels and using an undirected graph. Significant points on the skeleton are considered nodes of the graph, while the edge of the graph is represented by the vessel segment linking two neighboring nodes. The graph is represented then in the form of a connectivity matrix, using a novel method for defining vertex connectivity. Dijkstra and Floyd-Warshall algorithms are applied for detection of minimal paths within the graph…

Settore INF/01 - Informaticabusiness.industryComputer sciencePath trackingGraph theoryImage segmentationGraph bandwidthRetinal Images Graphs Dijkstra Floyd-WarshallGraph (abstract data type)Computer visionArtificial intelligencebusinessBeta skeletonDijkstra's algorithmAlgorithmRandom geometric graphMathematicsofComputing_DISCRETEMATHEMATICS2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)
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