Search results for "Machine"

showing 10 items of 2592 documents

Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector Machine

2020

The scientific and practical fields—especially high-performance sports—increasingly request a stronger focus be placed on individual athletes in human movement science research. Machine learning methods have shown efficacy in this context by identifying the unique movement patterns of individuals and distinguishing their intra-individual changes over time. The objective of this investigation is to analyze biomechanically described movement patterns during the fatigue-related accumulation process within a single training session of a high number of repeated executions of a ballistic sports movement—specifically, the frontal foot kick (mae-geri) in karate—in expert athletes. The two leading r…

individualitykinematic dataoptimal movementlcsh:Psychologylcsh:BF1-990situatednessfatiguesupport vector machineFrontiers in Psychology
researchProduct

Molecular Confinement in Femtoliter scale aqueous Compartments

2017

Molecular confinement is known to lead to acceleration of molecular dynamics along with surface interaction. Nature employs confinement in molecularly crowded, heterogeneous and, specialized femtoliter (fL) compartments inside living cells for spontaneously achieving higher reaction efficiency and spatial-programming of composite, multi-step biochemical processes. We here show the facile production of aqueous fL droplets for studying molecular confinement on a biochip. We prepare fL aqueous droplets in oil drops on solid substrates by a “field-free”- no external electric fields and electrolytes - piezoelectric inkjet printing in which a novel actuating waveform is employed by picoliter size…

inkjet printing molecular confinement molecular rotors molecular machines
researchProduct

Desafíos y oportunidades de Sentinel-2 en la monitorización de las aguas continentales

2023

En los ecosistemas de agua dulce, la escasez y la contaminación de este recurso está promoviendo que los organismos gubernamentales incluyan en sus agendas estrategias para mitigar esta situación a través de una gestión sostenible. La Directiva Marco del Agua establece entre sus requerimientos la monitorización del estado ecológico de las aguas continentales para determinar su calidad. Las imágenes satelitales ofrecen una visión sinóptica y continua a partir de la que es posible derivar métricas del estado ecológico. Esas métricas son un complemento a los tradicionales muestreos ya que se incrementa la cobertura espacial y la periodicidad en la monitorización. Sentinel-2, con su sensor Mult…

inland waterssupervised classificationsentinel-2UNESCO::FÍSICAoptical water typesremote sensingmachine learningtipos ópticos de aguasaprendizaje automáticoteledeteccióncalidad de las aguasaguas continentalesdisco de secchiclasificación supervisadacorrección atmosféricaUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIOconcentración de clorofilaUNESCO::GEOGRAFÍA
researchProduct

Estudio electrofisiológico del útero humano durante el embarazo a partir de registros no invasivos del electrohisterograma

2017

Título: “Estudio electrofisiológico del útero humano durante el embarazo a partir de registros no invasivos del electrohisterograma” La actividad uterina se monitoriza durante el embarazo y el parto con el objetivo de obtener información sobre las contracciones uterinas, para ayudar a la estimación del inicio y el progreso del trabajo de parto y para evaluar el estado de salud del conjunto materno-fetal. Actualmente, las tocografía externa e interna, son las técnicas más extendidas para la monitorización de la actividad uterina. Éstas técnicas manométricas de uso clínico habitual se limitan a monitorizar las contracciones uterinas a partir de resultante mecánica de la actividad bioeléctrica…

inteligencia artificial debilelectrofisiologíasvmUNESCO::CIENCIAS MÉDICASelectromiografía uterinasistemas de ayuda al diagnósticoelectrohisterografía:CIENCIAS MÉDICAS [UNESCO]support vectors machineehg
researchProduct

An ACT-R Based Humanoid Social Robot to Manage Storytelling Activities

2020

This paper describes an interactive storytelling system, accessible through the SoftBank robotic platforms NAO and Pepper. The main contribution consists of the interpretation of the story characters by humanoid robots, obtained through the definition of appropriate cognitive models, relying on the ACT-R cognitive architecture. The reasoning processes leading to the story evolution are based on the represented knowledge and the suggestions of the listener in critical points of the story. They are disclosed during the narration, to make clear the dynamics of the story and the feelings of the characters. We analyzed the impact of such externalization of the internal status of the characters t…

interactive storytellingControl and OptimizationExternalizationComputer sciencelcsh:Mechanical engineering and machinerysocial robotsocial robots050105 experimental psychologyInteractive storytellingcognitive agents03 medical and health sciences0302 clinical medicineArtificial IntelligenceHuman–computer interaction0501 psychology and cognitive sciencesNarrativelcsh:TJ1-1570Set (psychology)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSocial robotMechanical Engineering05 social sciencesCognitive architectureACT-R030217 neurology & neurosurgeryHumanoid robotcognitive agentStorytellingRobotics
researchProduct

Vers une assistance informatisée au diagnostic de la qualité ergonomique d'interfaces

2000

International audience; Notre objectif ici est d'encourager les concepteurs à s'intéresser aux usages de leur produit en prenant davantage en compte les facteurs humains dans la phase de test qui est souvent focalisée sur les aspects techniques. L'idée dans cette étude est donc de faciliter le recours aux utilisateurs comme source d'évaluation lors des tests de conception en apportant aux concepteurs un environnement logiciel de test pratique à mettre en œuvre pour faire évaluer leurs propres produits par des utilisateurs. Nous avons mené deux expériences de nature à explorer la faisabilité de ce projet.

interface homme-machineévaluation par l'utilisateur[SCCO.COMP] Cognitive science/Computer scienceévaluation par inspection[SHS.INFO]Humanities and Social Sciences/Library and information sciences[ SCCO.COMP ] Cognitive science/Computer sciencedocument numérique[ SHS.INFO ] Humanities and Social Sciences/Library and information sciences[SCCO.COMP]Cognitive science/Computer scienceméthode d'évaluation ergonomique assistée par ordinateurcritères de qualité ergonomique[SHS.INFO] Humanities and Social Sciences/Library and information sciencesdocument électronique
researchProduct

Large-scale nonlinear dimensionality reduction for network intrusion detection

2017

International audience; Network intrusion detection (NID) is a complex classification problem. In this paper, we combine classification with recent and scalable nonlinear dimensionality reduction (NLDR) methods. Classification and DR are not necessarily adversarial, provided adequate cluster magnification occurring in NLDR methods like $t$-SNE: DR mitigates the curse of dimensionality, while cluster magnification can maintain class separability. We demonstrate experimentally the effectiveness of the approach by analyzing and comparing results on the big KDD99 dataset, using both NLDR quality assessment and classification rate for SVMs and random forests. Since data involves features of mixe…

intrusion detection[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG][STAT.ML] Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMethodologies_PATTERNRECOGNITION[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]Gower[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML][SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingdimensionality reduction
researchProduct

Towards a Great Design of Conceptual Modelling

2020

Humankind faces a most crucial mission; we must endeavour, on a global scale, to restore and improve our natural and social environments. This is a big challenge for global information systems development and for their modelling. In this paper, we discuss on different aspects of conceptual modelling in global environmental context. The paper is the summary of the panel session “The Future of Conceptual Modelling” in the 29th International Conference on Information Modelling and Knowledge Bases. peerReviewed

järjestelmäsuunnitteluympäristöteknologiaglobalisaatiocontext computingconceptual modellingdata miningtekoälyartificial intelligence113 Computer and information sciencesmodel suitesenvironmental ICTmachine learningkoneoppiminenmulti-agent systemsemantic computing5D world map systemtiedonlouhintaglobalizationkonseptisuunnittelu
researchProduct

The Development and Precision of a Custom-Made Skitester

2021

In the sport of cross-country skiing, equipment has a direct influence on results. Ski teams do extensive testing of different ski base grinds and products on a yearly basis. To achieve reliable results, the quality of methods used for testing skis needs to be taken in to account in addition to factors including the physical characteristics of testing personnel and changes in weather conditions. The aim of this study was to introduce a custom-made skitester, that was developed for testing skis on real snow, in laboratory conditions, and to evaluate its precision. The current skitester is capable of glide testing both classic and skate skis as well as kick simulation for the testing of grip …

kitkasuksien voiteluComputer science02 engineering and technologywaxingski testingsnowTrack (rail transport)Industrial and Manufacturing Engineering03 medical and health sciencesUnits of measurement0302 clinical medicine0203 mechanical engineeringTJ1-1570General Materials ScienceMechanical engineering and machinerySimulationMechanical EngineeringProcess (computing)tribologia030229 sport scienceslumitestauslaitteethiihtocoefficient of frictionComputer Science Applications020303 mechanical engineering & transportsWeather conditionsuksettribologyRelative variationcross-country skiing
researchProduct

Unstable feature relevance in classification tasks

2011

knowledge discoveryaineistottiedonhallintatekoälyfeature relevancefeature weightingrelevanssifeature selectionmachine learningkoneoppiminenclassificationanalyysiensemble learningtietokannattiedonlouhintaData miningtiedonhakuclusteringluokitus
researchProduct