Search results for "Similarity"

showing 10 items of 474 documents

Closure to "Deducing a drain spacing formula by applying dimensional analysis and self-similarity theory" by Vito Ferro

2017

This paper is a closure of the discussions to the paper "Deducing a drain spacing formula by applying dimensional analysis and self-similarity theory"

Pure mathematicsSelf-similarityClosure (topology)CalculusSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliAgricultural and Biological Sciences (miscellaneous)drain dimensional analysis self-similarityWater Science and TechnologyCivil and Structural EngineeringMathematics
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On the construction, comparison, and exchangeability of tuning systems

2015

The aim of this article is to describe mathematically different tuning systems, to study their mathematical properties, and to propose a construction allowing their comparison. In order to reach these goals, we introduce a concept of similarity between tuning systems and then we provide two sufficient conditions for the particular case in which a tuning system generated by an interval and a circulating temperament are compared. Finally, we show by means of an example that, for two tuning systems to be exchangeable, some well-known results determining the suitable number of notes per octave are not enough.

Pythagorean tuningComputational MathematicsInterval (music)Similarity (geometry)Applied MathematicsModeling and SimulationOctaveMathematical propertiesMusical tuningAlgorithmMusicMathematicsJust intonationJournal of Mathematics and Music
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Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces

2019

AbstractRecognizing users’ daily life activities without disrupting their lifestyle is a key functionality to enable a broad variety of advanced services for a Smart City, from energy-efficient management of urban spaces to mobility optimization. In this paper, we propose a novel method for human activity recognition from a collection of outdoor mobility traces acquired through wearable devices. Our method exploits the regularities naturally present in human mobility patterns to construct syntactic models in the form of finite state automata, thanks to an approach known asgrammatical inference. We also introduce a measure ofsimilaritythat accounts for the intrinsic hierarchical nature of su…

QA75Computer science02 engineering and technologyManagement Science and Operations ResearchSimilarity measureMachine learningcomputer.software_genreZA4050Set (abstract data type)Activity recognitionGrammatical inference Human activity recognition Mobility020204 information systemsSmart citySimilarity (psychology)0202 electrical engineering electronic engineering information engineeringSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFinite-state machineT1business.industryGrammar inductionComputer Science ApplicationsHardware and Architecture020201 artificial intelligence & image processingArtificial intelligenceGranularitybusinesscomputer
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Optimizing auditory images and distance metrics for self‐organizing timbre maps*

1996

Abstract The effect of using different auditory images and distance metrics on the final configuration of a self‐organized timbre map is examined by comparing distance matrices, obtained from simulations, with a similarity rating matrix, obtained using the same set of stimuli as in the simulations. Gradient images, which are intended to represent idealizations of physiological gradient maps in the auditory pathway, are constructed. The optimal auditory image and distance metric, with respect to the similarity rating data, are searched using the gradient method.

Quantitative Biology::Neurons and CognitionVisual Arts and Performing Artsbusiness.industryRating matrixPattern recognitionImage (mathematics)Set (abstract data type)Similarity (network science)Computer Science::SoundComputer visionArtificial intelligencebusinessGradient methodTimbreMusicDistance matrices in phylogenyMathematicsJournal of New Music Research
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Investigating the quality of mental models deployed by undergraduate engineering students in creating explanations: The case of thermally activated p…

2013

This paper describes a method aimed at pointing out the quality of the mental models undergraduate engineering students deploy when asked to create explanations for phenomena or processes and/or use a given model in the same context. Student responses to a specially designed written questionnaire are quantitatively analyzed using researcher-generated categories of reasoning, based on the physics education research literature on student understanding of the relevant physics content. The use of statistical implicative analysis tools allows us to successfully identify clusters of students with respect to the similarity to the reasoning categories, defined as ``practical or everyday,'' ``descri…

Quantitative data analysiQualitative data analysisPhysics educationLC8-6691Learning environmentmedia_common.quotation_subjectMultimethodologySettore FIS/08 - Didattica E Storia Della FisicaPhysicsQC1-999Physics educationGeneral Physics and AstronomyContext (language use)Special aspects of educationEducationConsistency (negotiation)Engineering educationSimilarity (psychology)Mathematics educationQuality (business)Psychologymedia_commonPhysical Review Special Topics. Physics Education Research
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Similarity boosted quantitative structure-activity relationship--a systematic study of enhancing structural descriptors by molecular similarity.

2013

The concept of molecular similarity is one of the most central in the fields of predictive toxicology and quantitative structure-activity relationship (QSAR) research. Many toxicological responses result from a multimechanistic process and, consequently, structural diversity among the active compounds is likely. Combining this knowledge, we introduce similarity boosted QSAR modeling, where we calculate molecular descriptors using similarities with respect to representative reference compounds to aid a statistical learning algorithm in distinguishing between different structural classes. We present three approaches for the selection of reference compounds, one by literature search and two by…

Quantitative structure–activity relationshipInformaticsbusiness.industryStatistical learningGeneral Chemical EngineeringStructural diversityQuantitative Structure-Activity RelationshipPattern recognitionGeneral ChemistryPredictive toxicologyLibrary and Information Sciencescomputer.software_genreToxicologyComputer Science ApplicationsSimilarity (network science)Molecular descriptorArtificial intelligenceData miningbusinessCluster analysiscomputerMathematicsJournal of chemical information and modeling
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Enterprise Knowledge Modeling, UML vs Ontology: Formal Evaluation

2019

International audience; Everyday activities in enterprises rely heavily on the experts' know-how. Due to experts departure, the loss of expertise and knowledge is a reoccurring problem in these enterprises. Recently, in order to capture experts knowledge into intelligent systems, formal knowledge representation methods, such as ontologies, are being studied and have caught up with non-formal or semi-formal representation, such as UML. The similarities and differences between UML class diagram and computational ontology have for long raised questions about the possibility of synthesizing them in a common representation (usually an ontology). Indeed, the problem of migrating knowledge encoded…

REPRESENTATIONKnowledge representation and reasoningComputer sciencebusiness.industryIntelligent decision support system02 engineering and technologyOntology (information science)computer.software_genre[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Knowledge modelingUnified Modeling LanguageCode refactoring020204 information systemsSIMILARITY0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]020201 artificial intelligence & image processingClass diagramSoftware engineeringbusinesscomputercomputer.programming_languageSemantic matching2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP)
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Analyzing assessors and products in sorting tasks: DISTATIS, theory and applications

2007

Abstract In this paper we present a new method called distatis that can be applied to the analysis of sorting data. D istatis is a generalization of classical multidimensional scaling which allows one to analyze 3-ways distance tables. When used for analyzing sorting tasks, distatis takes into account individual sorting data. Specifically, when distatis is used to analyze the results of an experiment in which several assessors sort a set of products, we obtain two types of maps: One for the assessors and one for the products. In these maps, the proximity between two points reflects their similarity, and therefore these maps can be read using the same rules as standard metric multidimensiona…

RV coefficientNutrition and DieteticsSimilarity (geometry)GeneralizationSortingcomputer.software_genreSet (abstract data type)Metric (mathematics)sortData miningMultidimensional scalingAlgorithmcomputerFood ScienceMathematicsFood Quality and Preference
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DISTATIS: The Analysis of Multiple Distance Matrices

2006

In this paper we present a generalization of classical multidimensional scaling called DISTATIS which is a new method that can be used to compare algorithms when their outputs consist of distance matrices computed on the same set of objects. The method first evaluates the similarity between algorithms using a coefficient called the RV coefficient. From this analysis, a compromise matrix is computed which represents the best aggregate of the original matrices. In order to evaluate the differences between algorithms, the original distance matrices are then projected onto the compromise. We illustrate this method with a "toy example" in which four different "algorithms" (two computer programs …

RV coefficientSet (abstract data type)Matrix (mathematics)Similarity (network science)Computer scienceGeneralizationbusiness.industryMultidimensional scalingArtificial intelligenceMultidimensional systemsbusinessDistance matrices in phylogeny2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops
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Flow resistance of overland flow on a smooth bed under simulated rainfall

2020

In this paper a recently theoretically deduced flow resistance equation, based on a power-velocity profile, was tested using laboratory measurements by Yoon and Wenzel for an overland flow on a smooth bed under rainfall. These measurements of the Darcy-Weisbach friction factor, corresponding to a wide range of the flow Reynolds number (191–5700), were carried out for an overland flow under a simulated rainfall characterized by different intensity values ranging from 13 to 381 mm h−1. At first, the available measured values of flow velocity, water depth, cross sectional area, wetted perimeter and bed slope were used to calibrate the relationship between the velocity profile parameter Γ, the …

RainfallDimensional analysi010504 meteorology & atmospheric sciencesFlow (psychology)01 natural sciencessymbols.namesakeWetted perimeterOverland flowVelocity profileFroude numberRange (statistics)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0105 earth and related environmental sciencesEarth-Surface ProcessesTurbulenceReynolds number04 agricultural and veterinary sciencesMechanicsSelf-similarityFlow velocityFlow resistance040103 agronomy & agriculturesymbols0401 agriculture forestry and fisheriesGeologyIntensity (heat transfer)
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