Search results for "Complexity"

showing 10 items of 1094 documents

Entropy-Based Detection of Complexity and Nonlinearity in Short-Term Heart Period Variability under different Physiopathological States

2020

We compare different estimators of a popular en-tropy-based nonlinear dynamic measure, i.e. the conditional entropy (CE), as regards their ability to assess the complexity and nonlinearity of short-term heart rate variability (HRV). The CE is computed using binning, kernel and nearest neighbor entropy estimators in HRV time series measured from young, old and post-myocardial infarction patients studied at rest and during orthostatic stress. We find that the three estimators yield similar patterns of CE, but different patterns of nonlinear dynamics, across groups and conditions. These results suggest that the strategy for CE estimation is not crucial for the quantification of complexity, but…

Conditional entropynearest neighborHeart period variabilityEstimatork-nearest neighbors algorithmConditional entropy (CE)Nonlinear systemStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaEntropy (information theory)Heart rate variabilitynonlinear analysis methodTime seriescomplexityheart rate variability (HRV)Mathematics
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A PARALLEL ALGORITHM FOR ANALYZING CONNECTED COMPONENTS IN BINARY IMAGES

1992

In this paper, a parallel algorithm for analyzing connected components in binary images is described. It is based on the extension of the Cylindrical Algebraic Decomposition (CAD) to a two-dimensional (2D) discrete space. This extension allows us to find the number of connected components, to determine their connectivity degree, and to solve the visibility problem. The parallel implementation of the algorithm is outlined and its time/space complexity is given.

Connected componentDegree (graph theory)Artificial IntelligenceDiscrete spaceBinary imageVisibility (geometry)Parallel algorithmComputer Vision and Pattern RecognitionTime complexityAlgorithmSoftwareMathematicsCylindrical algebraic decompositionInternational Journal of Pattern Recognition and Artificial Intelligence
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Representing 2D Digital Objects

2000

The paper describes the combination a multi-views approach to represent connected components of 2D binary images. The approach is based on the Object Connectivity Graph (OCG), which is a sub-graph of the connectivity graph generated by the Discrete Cylindrical Algebraic Decomposition(DCAD) performed in the 2D discrete space. This construction allows us to find the number of connected components, to determine their connectivity degree, and to solve visibility problem. We show that the CAD construction, when performed on two orthogonal views, supply information to avoid ambiguities in the interpretation of each image component. The implementation of the algorithm is outlined and the computati…

Connected componentTheoretical computer scienceSettore INF/01 - InformaticaComputational complexity theoryDegree (graph theory)Computer scienceDiscrete spaceDigital topologyShape representationTopologyTheoretical Computer ScienceCylindrical algebraic decompositionComputer ScienceShape decompositionRepresentation (mathematics)Digital topologyConnectivityShape description
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Towards human cell simulation

2019

The faithful reproduction and accurate prediction of the phe-notypes and emergent behaviors of complex cellular systems are among the most challenging goals in Systems Biology. Although mathematical models that describe the interactions among all biochemical processes in a cell are theoretically feasible, their simulation is generally hard because of a variety of reasons. For instance, many quantitative data (e.g., kinetic rates) are usually not available, a problem that hinders the execution of simulation algorithms as long as some parameter estimation methods are used. Though, even with a candidate parameterization, the simulation of mechanistic models could be challenging due to the extr…

Constraint-based modelingAgent-based simulation; Big data; Biochemical simulation; Computational intelligence; Constraint-based modeling; Fuzzy logic; High-performance computing; Model reduction; Multi-scale modeling; Parameter estimation; Reaction-based modeling; Systems biology; Theoretical Computer Science; Computer Science (all)Computer scienceBiochemical simulationDistributed computingSystems biologyBig dataComputational intelligenceContext (language use)ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONITheoretical Computer ScienceReduction (complexity)Big dataParameter estimationHigh-performance computingComputational intelligenceAgent-based simulationMathematical modelbusiness.industryModel reductionComputer Science (all)Multi-scale modelingINF/01 - INFORMATICASupercomputerVariety (cybernetics)Fuzzy logicReaction-based modelingbusinessSystems biology
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A Holistic Approach to Comprehending the Complexity of the Post-growth Era: The Emerging Profile

2015

The goal of this study is to investigate the problems caused by the rapid growth of the global economy, coupled with high population growth and the excessive exploitation of natural resources. The global economy will not be able to maintain its current speed of growth in the long term, so a paradigm shift in production and consumption is necessary, if the collapse of ecosystems and the concurrent depletion of natural resources are to be avoided. This is the reason why capitalism needs to take a turn towards a sustainable and naturally harmonized development model.

Consumption (economics)Post-growthComplexityCapitalismResource depletionsustainabilityBusineParadigm shiftEconomicsProduction (economics)Holistic ApproachEconomic systemSustainable growth ratePost-growth EraSettore SECS-P/08 - Economia E Gestione Delle ImpreseExploitation of natural resources
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Reduction in tobacco consumption: an emerging topic within the smoking debate

2009

Consumption (economics)Tobacco harm reductionReduction (complexity)business.industryEnvironmental healthMedicineGeneral MedicinebusinessArchivos de Bronconeumología ((English Edition))
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Strategic approaches, organizational design and quality management

1998

The main contribution of this paper is to integrate into one model management and organizational fields that are normally analyzed separately: contingency factors, organizational design variables, strategic approaches and quality management approaches. The essential core of the model is constituted by three basic variables of organizational design: level of centralization, level of formalization‐standardization, and level of shared vision and common values. Through analysis using this conceptual tool, we can: assess the position of tasks and organizational units in relation to these organizational variables; evaluate the congruence between organizational variables and contingency factors; i…

Contingency theoryProcess managementComputer sciencebusiness.industryOrganization developmentOrganizational engineeringOrganizational studiesComplexity theory and organizationsOrganizational learningbusinessOrganizational behavior and human resourcesOrganizational performanceInternational Journal of Quality Science
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Valuing water supply infrastructure improvements using life satisfaction data as a complement to contingent valuation

2019

Contingent valuationEnvironmental Engineeringbusiness.industryEconomicsWater supplyLife satisfactionManagement Monitoring Policy and LawEnvironmental economicsSubjective well-beingbusinessPollutionWater Science and TechnologyComplement (complexity)Water and Environment Journal
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R Code for Hausdorff and Simplex Dispersion Orderings in the 2D Case

2010

This paper proposes a software implementation using R of the Hausdorff and simplex dispersion orderings. A copy can be downloaded from http://www.uv.es/~ayala/software/fun-disp.R . The paper provides some examples using the functions exactHausdorff for the Hausdorff dispersion ordering and the function simplex for the simplex dispersion orderings. Some auxiliary functions are commented too.

Convex hullDiscrete mathematicsSimplexMultivariate random variableMathematicsofComputing_NUMERICALANALYSISHausdorff spaceAuxiliary functionFunction (mathematics)CombinatoricsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYMathematics::Metric GeometryHausdorff measureStatistical dispersionMathematics
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New delay-dependent stability conditions for time-varying delay systems

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/360924 Open Access This paper addresses the delay-dependent stability for systems with time-varying delay. First, by taking multi-integral terms into consideration, new Lyapunov-Krasovskii functional is defined. Second, in order to reduce the computational complexity of the main results, reciprocally convex approach and some special transformations are introduced, and new delay-dependent stability criteria are proposed, which are less conservative and have less decision variables than some previous results. Finally, two well-known example…

CorrectnessArticle SubjectComputational complexity theoryComputer scienceGeneral Mathematicslcsh:MathematicsGeneral EngineeringStability (learning theory)lcsh:QA1-939Delay dependentStability conditionsControl theorylcsh:TA1-2040VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411lcsh:Engineering (General). Civil engineering (General)Algorithm
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