Search results for " Complexity"

showing 10 items of 623 documents

Multiscale Information Storage of Linear Long-Range Correlated Stochastic Processes

2019

Information storage, reflecting the capability of a dynamical system to keep predictable information during its evolution over time, is a key element of intrinsic distributed computation, useful for the description of the dynamical complexity of several physical and biological processes. Here we introduce a parametric approach which allows one to compute information storage across multiple timescales in stochastic processes displaying both short-term dynamics and long-range correlations (LRC). Our analysis is performed in the popular framework of multiscale entropy, whereby a time series is first "coarse grained" at the chosen timescale through low-pass filtering and downsampling, and then …

Conditional entropyFOS: Computer and information sciencesComputer scienceStochastic processDynamical system01 natural sciencesMeasure (mathematics)010305 fluids & plasmasMethodology (stat.ME)Multiscale Entropy Information Theory ComplexityAutoregressive model0103 physical sciencesState space010306 general physicsRepresentation (mathematics)AlgorithmStatistics - MethodologyParametric statistics
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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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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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On the Evaluation of Images Complexity: A Fuzzy Approach

2006

The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer science and cognitive psychology. Computer scientists usually analyze spatial dimensions, to deal with automatic vision problems, such as feature-extraction. Psychologists seem more interested in the temporal dimension of complexity, to explore attentional models. Is it possible, by merging both approaches, to define an more general index of visual complexity? We have defined a fuzzy mathematical model of visual complexity, using a specific entropy function; results obtained by applying this model to pictorial images have a strong correlation with ones from an experime…

CorrelationBinary entropy functionbusiness.industryComputer scienceFuzzy setEntropy (information theory)Artificial intelligencebusinessMachine learningcomputer.software_genreFuzzy logiccomputerVisual complexity
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One-Counter Verifiers for Decidable Languages

2013

Condon and Lipton (FOCS 1989) showed that the class of languages having a space-bounded interactive proof system (IPS) is a proper subset of decidable languages, where the verifier is a probabilistic Turing machine. In this paper, we show that if we use architecturally restricted verifiers instead of restricting the working memory, i.e. replacing the working tape(s) with a single counter, we can define some IPS’s for each decidable language. Such verifiers are called two-way probabilistic one-counter automata (2pca’s). Then, we show that by adding a fixed-size quantum memory to a 2pca, called a two-way one-counter automaton with quantum and classical states (2qcca), the protocol can be spac…

Counter machineTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceQuantum registerComputer scienceProbabilistic Turing machineProbabilistic logicInteractive proof systemComputer Science::Computational ComplexityDecidabilityAutomatonsymbols.namesakesymbolsProtocol (object-oriented programming)
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Syntactic complexity in Finnish-background EFL learners’ writing at CEFR levels A1–B2

2022

Eurooppalaisen viitekehyksen (EVK) merkitys kielikoulutukselle on lisännyt tutkimusta sen taitotasojen kielellisistä piirteistä; tarkempi tieto näistä piirteistä auttaisi EVK:n soveltamista opetusmateriaalien, kurssien ja arviointin laatimiseen. Tutkimuksessa selvitettiin eroavatko EVK:n tasot toisistaan syntaksin kompleksisuuden perusteella. Suomalaiset 14- ja 17-vuotiaat englannin oppijat (N=379) kirjoittivat kolme kirjoitelmaa, jotka arvioitiin EVK:n taitotasoille. Arviointiaineisto tutkittiin monitahoisella Rasch-analyysillä ja tekstien piirteet selvitettiin automaattisilla analyysiohjelmilla. Tuloksien perusteella alimpia EVK-tasoja (A1–A2) erotti selvimmin toisistaan lauseiden ja T-yk…

Cultural Studieskieli ja kieletkieltenopetussyntactic complexityYhteinen Eurooppalainen Viitekehys (EVK)CommunicationCommon European Framework of Reference (CEFR)English as a foreign language (EFL)syktaktinen kompleksisuuskompleksisuusLanguage and Linguisticsfraasitkielikurssit (oppimateriaalit)osaaminenkielenkäyttöautomated analysis of learners’ written scriptssanatkielen oppiminenoppijoiden kirjoituksen automaattinen analyyysienglannin kieliarviointilauseoppiEnglanti vieraana kielenävieraat kieletoppimateriaaliEuropean Journal of Applied Linguistics
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Computational Models That Matter During a Global Pandemic Outbreak

2020

The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability of our health care systems, threatening economic meltdown, and putting pressure on the mental health of individuals (due to social distancing and lock-down measures). The pandemic is also posing severe challenges to the scientific community, with scholars under pressure to respond to policymakers’ demands for advice despite the absence of adequate, trusted data. Understanding the pandemic requires fine-grained data representing specific local conditions and the social reactions of individuals. While experts have built simulation models to estimate disease trajectories that may be enough to gu…

DYNAMICSComputer and Information SciencesAgent-based modelIMPACT010501 environmental sciences01 natural sciencesRigourModelling03 medical and health sciencesPolitical scienceHealth carePandemicComputer Science (miscellaneous)Pandemic Disease0105 earth and related environmental sciencesAgent-based modelDatabusiness.industry030503 health policy & servicesSocial distanceSOCIAL-SCIENCESGeneral Social SciencesCOVID-19Social complexityPublic Health Global Health Social Medicine and EpidemiologyData- och informationsvetenskapPublic relationsVDP::Social science: 200Transparency (behavior)Call to actionAgent-Based ModelsFolkhälsovetenskap global hälsa socialmedicin och epidemiologiPandemic diseasePolicyVDP::Samfunnsvitenskap: 2000305 other medical sciencebusinessJASSS - The Journal of Artificial Societies and Social Simulation
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FO^2 with one transitive relation is decidable

2013

We show that the satisfiability problem for the two-variable first-order logic, FO^2, over transitive structures when only one relation is required to be transitive, is decidable. The result is optimal, as FO^2 over structures with two transitive relations, or with one transitive and one equivalence relation, are known to be undecidable, so in fact, our result completes the classification of FO^2-logics over transitive structures with respect to decidability. We show that the satisfiability problem is in 2-NExpTime. Decidability of the finite satisfiability problem remains open.

Data processing Computer scienceclassical decision problem two-variable first-order logic decidability computational complexityddc:004Computer Science::Formal Languages and Automata Theory
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New results for finding common neighborhoods in massive graphs in the data stream model

2008

AbstractWe consider the problem of finding pairs of vertices that share large common neighborhoods in massive graphs. We give lower bounds for randomized, two-sided error algorithms that solve this problem in the data-stream model of computation. Our results correct and improve those of Buchsbaum, Giancarlo, and Westbrook [On finding common neighborhoods in massive graphs, Theoretical Computer Science, 299 (1–3) 707–718 (2004)]

Data streamDiscrete mathematicsGeneral Computer ScienceExtremal graph theorySpace lower boundsModel of computationCommunication complexityGraph theoryUpper and lower boundsTheoretical Computer ScienceExtremal graph theoryCombinatoricsGraph algorithms for data streamsAlgorithms Theoretical Computer SciencedGraph algorithmsCommunication complexityComputer Science(all)MathematicsTheoretical Computer Science
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