Search results for "Graph theory"

showing 10 items of 784 documents

Iterative Reconstruction of Signals on Graph

2020

We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or better performance both in terms of convergence rate and computational efficiency.

Signal Processing (eess.SP)signal processing algorithmIterative methodComputer science02 engineering and technologyIterative reconstructionSettore MAT/08 - Analisi NumericaSettore MAT/05 - Analisi Matematica0202 electrical engineering electronic engineering information engineeringFOS: MathematicsFOS: Electrical engineering electronic engineering information engineeringsignal reconstructionMathematics - Numerical AnalysisElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal ProcessingSignal reconstructionApplied Mathematics020206 networking & telecommunicationsNumerical Analysis (math.NA)Graphspectral analysisGraph theoryRate of convergenceSignal ProcessingGraph (abstract data type)Algorithmsignal processing algorithmsInterpolation
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PORE Algorithm for Object Recognition in Photo Layers based on Parametric Characteristics of the Object Edges

2016

PORE stands for Photo-Object Recognition based on the Edges. Coincidentally, PORE means to examine something carefully and with due attention, so "we pore over the object layers in search for information about their characteristics with the aim at improving image recognition process". Therefore, this study presents a novel approach to object recognition based on the pattern by using photo layers and by defining the objects' specific characteristics. We select and introduce the parameters which determine a higher efficiency of image retrieval of the image objects. In this paper, we describe how the same photos are recognized in a process of classical retrieval compared to our model by analyz…

Similarity (geometry)Matching (graph theory)Computer sciencebusiness.industry3D single-object recognitionpattern recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionImage processingPattern recognitionoptimization algorithmObject (computer science)bitmapsimage retrievalimage processingPattern recognition (psychology)computational intelligenceComputer visionArtificial intelligencebusinessImage retrievalAlgorithm
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Detection of a reservoir water level using shape similarity metrics

2017

The matching between reservoirs’ water edge and digital elevation model’s (DEM) contour lines allowed determining the water level at the acquisition date of satellite images. A preliminary study was conducted on the Castello dam (Magazzolo Lake), between Alessandria della Rocca and Bivona (Agrigento, south-Italy). The accuracy assessment of the technique was than evaluated from the comparison between classified and reference objects using similarity metrics about the shape, theme, edge and position, through the plugin STEP of open source software GIS. Moreover, an independent GIS technique was implemented to evaluate the water level, based on a distances’ array between existing contour line…

Similarity (geometry)water surfaceMatching (graph theory)Computer science0211 other engineering and technologies0507 social and economic geography02 engineering and technologyPosition (vector)Digital elevation model021101 geological & geomatics engineeringbusiness.industry05 social sciencesSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaDEMPattern recognitionWater levelWater levelContour lineSatelliteEnhanced Data Rates for GSM EvolutionArtificial intelligencebusiness050703 geographyLandsatSettore ICAR/06 - Topografia E CartografiaSAR
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Homeomorphic graph manifolds: A contribution to the μ constant problem

1999

Abstract We give a characterization, in terms of homological data in covering spaces, of those maps between (3-dimensional) graph manifolds which are homotopic to homeomorphisms. As an application we give a condition on a cobordism between graph manifolds that guarantees that they are homeomorphic. This in turn is applied to give a partial result on the μ -constant problem in (complex) dimension three.

SingularityDimension (graph theory)CobordismBanach manifoldHomology equivalenceCovering spaceμ constant problemMathematics::Algebraic TopologyMathematics::Geometric TopologyDistance-regular graphManifoldCombinatoricsCoxeter graphSeifert fibered spaceMilnor fiberGraph manifoldEdge-transitive graphRicci-flat manifoldComplex algebraic surfaceGeometry and TopologyMathematics::Symplectic Geometry3-manifoldHomeomorphismMathematicsTopology and its Applications
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Inner Edge Drag by an Asynchronous Primary and Accretion Disc Structure In Close Binaries

1996

In this work a 3-D ‘Smoothed Particle Hydrodynamics’ ([1]; [4]; [5]) accretion disc is simulated where particles at its inner edge are dragged by a fast spinning compact central star, as in the case of the intermediate polars. The angular velocity of the central star is twice the orbital angular velocity w 0. This drag can be attributed mainly to viscous interaction in the dense compact star atmosphere, although magnetic coupling may also play a role.

Smoothed-particle hydrodynamicsPhysicsPrimary (astronomy)DragAstrophysics::Solar and Stellar AstrophysicsAngular velocityAstrophysics::Earth and Planetary AstrophysicsAstrophysicsEdge (geometry)Compact starStar (graph theory)Inductive couplingAstrophysics::Galaxy Astrophysics
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Correlations among Game of Thieves and other centrality measures in complex networks

2021

Social Network Analysis (SNA) is used to study the exchange of resources among individuals, groups, or organizations. The role of individuals or connections in a network is described by a set of centrality metrics which represent one of the most important results of SNA. Degree, closeness, betweenness and clustering coefficient are the most used centrality measures. Their use is, however, severely hampered by their computation cost. This issue can be overcome by an algorithm called Game of Thieves (GoT). Thanks to this new algorithm, we can compute the importance of all elements in a network (i.e. vertices and edges), compared to the total number of vertices. This calculation is done not in…

Social and Information Networks (cs.SI)FOS: Computer and information sciencesTheoretical computer scienceCentrality measureDegree (graph theory)Settore INF/01 - InformaticaComputer scienceClosenessSocial network analysiComputer Science - Social and Information NetworksComplex networkComplex networkBetweenness centralityCorrelation coefficientsCentralityTime complexitySocial network analysisClustering coefficient
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The Five-star Movement inside the institutions in Sicily: from ‘swimming the Strait’ to institutionalisation in local politics

2019

This article considers the institutionalisation of the Five-star Movement (M5s) in regional and local councils. It discusses the process of the Movement’s institutionalisation, analysing the development of its internal organisation; its local platforms and political performance; its institutional repertoire of action, and the several internal and external conflicts between its own rules and the ‘others’. In particular, the article investigates the changes affecting the M5s after its engagement with the Sicilian regional assembly and Sicilian municipal councils, and the ways in which the specific institutionalisation process it underwent was influenced by the complexities of the political an…

Sociology and Political ScienceInstitutionalisationMovement (music)05 social sciences0507 social and economic geographyStar (graph theory)050701 cultural studiesFive-star Movementregional and local councils0506 political sciencePoliticsPolitical sciencePolitical economySettore SPS/11 - Sociologia Dei Fenomeni PoliticiPolitical Science and International Relations050602 political science & public administrationSettore SPS/07 - Sociologia GeneraleinstitutionalisationSicilySettore SPS/04 - Scienza Politica
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Unravelling green regional industrial path development: Regional preconditions, asset modification and agency

2020

Abstract Regions across the world are searching for ways to fashion new green growth paths and to promote green shifts in mature industries. The article aims to explore conceptually and based on illustrative empirical examples from the literature how green restructuring unfolds in regions. We propose a framework that explicates how regional preconditions in form of pre-existing industrial structures, organisational support structures, institutional set-ups and natural assets are transformed into various types of green path development through agentic processes of asset modification.

Sociology and Political ScienceRestructuring05 social sciences0211 other engineering and technologies0507 social and economic geography021107 urban & regional planning02 engineering and technologyDevelopment (topology)Organisational supportGreen growthPath (graph theory)Agency (sociology)BusinessAsset (economics)GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)050703 geographyIndustrial organizationGeoforum
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Some reflections on Fuzzy Set Theory as an Experimental Science

2014

The aim of this paper is to open a critical discussion on the claim, recently presented in the community and especially heralded by Enric Trillas, that fuzzy logic should be seen as an “experimental science”. The first interesting aspect of such remark is whether and in which way such position has consequences on the real development of the research, or if it is simply a (different) way of looking at the same phenomenon. As a consequence, we investigate the possible connection to Zadeh’s distiction between Fuzzy logic in a restricted sense and in a general sense. We shall argue that Trillas’s claim not only strongly supports the necessity for such a distinction, but provides a path of inves…

Soft computingFuzzy Sets Soft Computing Theoretical Computer ScienceSettore INF/01 - InformaticaConnection (vector bundle)Fuzzy setExperimental scienceSettore M-FIL/02 - Logica E Filosofia Della ScienzaFuzzy logicEpistemologyDevelopment (topology)PhenomenonPath (graph theory)AlgorithmMathematics
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A topology-constrained distance network algorithm for protein structure determination from NOESY data.

2005

This article formulates the multidi- mensional nuclear Overhauser effect spectroscopy (NOESY) interpretation problem using graph theory and presents a novel, bottom-up, topology-con- strained distance network analysis algorithm for NOESY cross peak interpretation using assigned resonances. AutoStructure is a software suite that implements this topology-constrained distance net- work analysis algorithm and iteratively generates structures using the three-dimensional (3D) protein structure calculation programs XPLOR/CNS or DY- ANA. The minimum input for AutoStructure in- cludes the amino acid sequence, a list of resonance assignments, and lists of 2D, 3D, and/or 4D-NOESY cross peaks. AutoStru…

Software suiteMagnetic Resonance SpectroscopybiologyProtein ConformationProteinsReproducibility of ResultsGraph theoryNuclear Overhauser effectCyanaModels TheoreticalNet (mathematics)biology.organism_classificationCrystallography X-RayBiochemistryProtein Structure SecondaryInterpretation (model theory)CrystallographyProtein structureStructural BiologyImage Processing Computer-AssistedMolecular BiologyTwo-dimensional nuclear magnetic resonance spectroscopyAlgorithmAlgorithmsMathematicsProteins
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