Search results for "Similarity"

showing 10 items of 474 documents

SELF SIMILARITY IN SWELLING SYSTEMS: FRACTAL PROPERTIES OF PEAT

1994

Sphagnum peat gives an example of a swelling system with a self-similar structure in sufficiently wide range of scales. The surface fractal dimension, dfs, has been calculated by means of thermodynamic method on the basis of water adsorption and capillary equilibrium measurements. This method makes possible the exploration of the self-similarity in the scale range over at least 4 decimal orders of magnitude from 1 nm to 10 μm. In a sample explored, two ranges of fractality have been observed: dfs ≈ 2.55 in the range 1.5–80 nm and dfs ≈ 2.42 in the range 0.25–9 µm.

Range (particle radiation)Materials scienceSelf-similarityCapillary actionApplied MathematicsThermodynamicsFractal dimensionFractalAdsorptionModeling and SimulationmedicineOrders of magnitude (data)Geometry and TopologySwellingmedicine.symptomFractals
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Ranking World Tourism Competitiveness: A Comparison of Two Composite Indicators

2021

Assessing travel and tourism competitiveness (T&TC) is becoming an issue of paramount importance for stakeholders, mainly policymakers and practitioners. The availability of new databases such as the Travel and Tourism Competitiveness Report from the World Economic Forum (WEF) has boosted this interest. This chapter contributes to the current literature in this field with an assessment of the T&TC of 136 world tourist destinations. In doing so, two well-known approaches are employed: Data Envelopment Analysis (DEA) with endogenous common weights, and the Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS). World tourist destinations are ranked using these approaches,…

RankingOrder (exchange)Similarity (psychology)Data envelopment analysisTOPSISBusinessEnvironmental economicsMultiple-criteria decision analysisTourismPreference
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Shape matching, shape retrieval

2016

This thesis concerns shape matching and shape retrieval. It describes four contributions to thisdomain. The first is an improvement of the k-means method, in order to find the best partition ofvoxels inside a given shape ; these best partitions permit to match shapes using an optimal matchingin a bipartite graph. The second contribution is the fusion of two descriptors, one local, the otherglobal, with the product rule. The third contribution considers the complete graph, the vertices ofwhich are the shapes in the database and the query. Edges are labelled with several distances,one per descriptor. Then the method computes, with linear programming, the convex combinationof distances which m…

Recherche par forme clef[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Dissimilarity measuresShape descriptorsAppariement de formes[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Shape matchingShape retrievalDescripteurs de formes[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
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The Influence of Hierarchical Masks on Masked Repetition Priming: Evidence From Event-Related Potential Investigation

2019

The discussion about relationship between prime and target has contributed to the mechanism of priming effect and object recognition. Nevertheless, the role of relationship between mask and target in those cognitive processes remains unquestioned. In the present study, we aim to investigate how mask-target hierarchical relationship may affect word priming and familiarity, by using the masked repetition paradigm and manipulating three hierarchical relationship between mask and target. It is hypothesized that a closer hierarchical relationship between mask and target is associated with a higher mask target similarity, and thereby it leads to a worse recognition performance. Our behavioral res…

Repetition primingAffect (psychology)conceptual hierarchical relationship050105 experimental psychologylcsh:RC321-57103 medical and health sciencesFluencyBehavioral Neuroscience0302 clinical medicineSimilarity (network science)Event-related potential0501 psychology and cognitive sciencesfluencylcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryOriginal ResearchfamiliarityRepetition (rhetorical device)05 social sciencesCognitionP2FN400Psychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyrecognitionPsychologyPriming (psychology)030217 neurology & neurosurgeryNeuroscienceCognitive psychologyFrontiers in Human Neuroscience
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RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures

2020

The RepeatsDB database (URL: https://repeatsdb.org/) provides annotations and classification for protein tandem repeat structures from the Protein Data Bank (PDB). Protein tandem repeats are ubiquitous in all branches of the tree of life. The accumulation of solved repeat structures provides new possibilities for classification and detection, but also increasing the need for annotation. Here we present RepeatsDB 3.0, which addresses these challenges and presents an extended classification scheme. The major conceptual change compared to the previous version is the hierarchical classification combining top levels based solely on structural similarity (Class > Topology > Fold) with two new lev…

Repetitive Sequences Amino AcidAcademicSubjects/SCI00010BiologíaStatistics as TopicProtein Data Bank (RCSB PDB)Computational biologyBiologyRepetitive SequencesGene Ontology; HEK293 Cells; HeLa Cells; Humans; Proteins; Reproducibility of Results; Statistics as Topic; User-Computer Interface; Databases Protein; Repetitive Sequences Amino Acid; Tandem Repeat SequencesDatabases03 medical and health sciencesAnnotationUser-Computer InterfaceProtein structureSimilarity (network science)Tandem repeatGeneticsDatabase IssueHumansDatabases ProteinCiencias Exactasdatabase030304 developmental biology0303 health sciencesHierarchy (mathematics)Protein030302 biochemistry & molecular biologyProteinsReproducibility of Resultscomputer.file_formatProtein Data BankClass (biology)proteinsAmino AcidComputingMethodologies_PATTERNRECOGNITIONGene OntologyHEK293 CellsclassificationTandem Repeat Sequencesprotein tandem repeat structures[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]computerHeLa CellsNucleic Acids Research
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Capturing gypsum rillenkarren morphometry by a 3D-photo reconstruction (3D-PR) technique

2020

Abstract Rillenkarren are small scale, straight, narrow solution channels that head at the crest of a bare rock slope and are extinguished downslope. In this paper the applicability of 3D-photo reconstruction technique of the rock surface is proposed for capturing the rillenkarren morphometry on gypsum. At first, the measurements are used to assess a relationship between the width/depth ratio and the depth of the rillenkarren. The exponent of this power relationship resulted different from the theoretical value - 0.5, confirming that the cross-section profiles of a rillenkarren can have a shape different from parabolic. The analysis developed for the cross-section area, the perimeter and th…

RillenkarrenSimilarity (geometry)010504 meteorology & atmospheric sciencesScale (ratio)Feature (archaeology)Close-range photogrammetryMorphometryGeometryRadius010502 geochemistry & geophysics01 natural sciencesErosionCrestPoint (geometry)3D-photo reconstructionGeology0105 earth and related environmental sciencesEarth-Surface ProcessesDimensionless quantity
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Fuzzy Metric Approach to Aggregation of Risk Levels

2019

In this paper we propose a special construction of a general aggregation operator. The construction allows to aggregate fuzzy sets taking into account the distance between elements of the universe. We consider the case when fuzzy sets to be aggregated represent the risk level evaluation by several experts. We describe how the proposed construction could be applied for risk level assessment in the case when a strong fuzzy metric is used to characterize the similarity of objects under evaluation.

Risk levelTheoretical computer scienceOperator (computer programming)Similarity (network science)Computer scienceMetric (mathematics)Fuzzy setAggregate (data warehouse)Fuzzy logic
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A general strategy to determine the congruence between a hierarchical and a non-hierarchical classification

2007

This article is available from: http://www.biomedcentral.com/1471-2105/8/442

Saccharomyces cerevisiae ProteinsComputer scienceDecision treecomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsInteractomeBiochemistryPattern Recognition AutomatedMitochondrial ProteinsUser-Computer InterfaceSimilarity (network science)Structural BiologyArtificial IntelligenceSequence Analysis ProteinProtein Interaction MappingCluster AnalysisDatabases Proteinlcsh:QH301-705.5Molecular BiologyOligonucleotide Array Sequence AnalysisApplied MathematicsMethodology ArticleDendrogramDecision TreesReproducibility of ResultsClassificationPartition (database)Computer Science ApplicationsTree (data structure)Rankinglcsh:Biology (General)Pattern recognition (psychology)lcsh:R858-859.7Data miningcomputerBiological networkBMC Bioinformatics
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Assisted Self-Adapted Testing: A Comparative Study

2004

Abstract: A new type of self-adapted test (S-AT), called Assisted Self-Adapted Test (AS-AT), is presented. It differs from an ordinary S-AT in that prior to selecting the difficulty category, the computer advises examinees on their best difficulty category choice, based on their previous performance. Three tests (computerized adaptive test, AS-AT, and S-AT) were compared regarding both their psychometric (precision and efficiency) and psychological (anxiety) characteristics. Tests were applied in an actual assessment situation, in which test scores determined 20% of term grades. A sample of 173 high school students participated. Neither differences in posttest anxiety nor ability were obta…

Sample (material)Similarity (psychology)medicineAnxietyComputerized adaptive testingBig Five personality traitsmedicine.symptomPersonality Assessment InventoryPsychologyApplied PsychologyDevelopmental psychologyClinical psychologyTest (assessment)European Journal of Psychological Assessment
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Invariant Feature Matching for Image Registration Application Based on New Dissimilarity of Spatial Features

2016

An invariant feature matching method is proposed as a spatially invariant feature matching approach. Deformation effects, such as affine and homography, change the local information within the image and can result in ambiguous local information pertaining to image points. New method based on dissimilarity values, which measures the dissimilarity of the features through the path based on Eigenvector properties, is proposed. Evidence shows that existing matching techniques using similarity metrics--such as normalized cross-correlation, squared sum of intensity differences and correlation coefficient--are insufficient for achieving adequate results under different image deformations. Thus, new…

Satellite ImageryComputer scienceComputer Visionlcsh:MedicineTransportation02 engineering and technology01 natural sciencesPattern Recognition Automated0202 electrical engineering electronic engineering information engineeringImage Processing Computer-Assistedlcsh:ScienceMultidisciplinaryApplied MathematicsSimulation and ModelingPhysicsClassical MechanicsDeformationPhysical SciencesEngineering and Technology020201 artificial intelligence & image processingAlgorithmsResearch ArticleNormalization (statistics)Matching (statistics)Computer and Information SciencesSimilarity (geometry)Imaging TechniquesImage registrationResearch and Analysis MethodsImage (mathematics)010309 optics0103 physical sciencesImage Interpretation Computer-AssistedComputer GraphicsComputer ImagingEigenvalues and eigenvectorsDamage Mechanicsbusiness.industrylcsh:RPattern recognitionEigenvaluesBoatsTarget DetectionAlgebraLinear AlgebraSubtraction TechniquePath (graph theory)lcsh:QAffine transformationArtificial intelligencebusinessEigenvectorsMathematicsHomography (computer vision)PLoS ONE
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