Search results for " Computer"
showing 10 items of 6910 documents
A Non-Local Mode-I Cohesive Model for Ascending Thoracic Aorta Dissections (ATAD)
2018
This paper presents a non-local interface mechanical model to describe aortic dissection. In this regard, the mode-I debonding problem based on a cohesive zone modeling is endowed with non-local terms to include long-range interactions that are present in multi-layered biological tissue. Such non-local effects are related to the collagen fibers that transmit forces between non-adjacent elements. Numerical simulations are provided with different values of the non-local parameters in order to show the effect of the non-locality during the debonding processes.
Análisis de la anchura de la cortical vestibular en dientes anteriores maxilares y en la planificación virtual de implantes mediante tomografías comp…
2021
La evaluación del grosor de la cortical vestibular proporciona al clínico una herramienta de pronóstico para estimar el grado de pérdida ósea futura antes de la extracción del diente. En cuanto al grosor de cortical vestibular periimplantaria para asegurar la estabilidad ósea, se ha sugerido una anchura mínima de 1.8-2 mm. Objetivos 1. Determinar el grosor de la cortical vestibular en incisivos y caninos maxilares. 2. Comparar el grosor de la cortical vestibular en el primer y segundo premolar maxilar. 3. Evaluar la influencia de la distancia LAC-Cresta ósea vestibular con la anchura de la cortical vestibular en incisivos y caninos maxilares. 4. Estudiar en planificaciones virtuales de impl…
On the Complexity of the Bernstein Combinatorial Problem
2012
International audience
WebTribe: Implicit Community Clustering by Semantic Analysis
2010
International audience; Since the advent of Web 2.0, any user becomes a content provider through personal websites, posts on wikis and forums, recommendations, annotations, etc. In this paper, we propose a method to analyze the interests of users based on their publishing activities, by positioning them into a semantic graph. We describe the WebTribe system that allows to extract topic information from collaborative websites and to query the resulting clusters of users.
Frontières des communautés polarisées : application à l'étude des théories complotistes autour des vaccins
2021
Les données des réseaux sociaux sont de plus en plus utilisées pour en extraire de la valeur, dans des domaines tels que le marketing, la politique ou la sociologie. Celles-ci peuvent être représentées sous forme de graphes, en modélisant précisément les interactions à travers des liens dirigés et pondérés. Dans l'analyse des données des réseaux sociaux, l'étude des communautés est une étape essentielle. Toutefois, pour une interprétation fine des phénomènes, il est également nécessaire d'étudier leurs interactions et de pouvoir détecter des traces de polarisation. Nous proposons une méthode qui permet d'évaluer l'antagonisme des communautés et d'identifier leurs frontières dans des réseaux…
Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data with a Phase Sparsity Constraint
2020
Canonical polyadic decomposition (CPD) of multi-subject complex-valued fMRI data can be used to provide spatially and temporally shared components among groups with both magnitude and phase information. However, the CPD model is not well formulated due to the large subject variability in the spatial and temporal modalities, as well as the high noise level in complex-valued fMRI data. Considering that the shift-invariant CPD can model temporal variability across subjects, we propose to further impose a phase sparsity constraint on the shared spatial maps to denoise the complex-valued components and to model the inter-subject spatial variability as well. More precisely, subject-specific time …
L’expérience du consommateur dans le commerce de détail. Une revue de littérature
2013
Résumé Le thème de l’expérience s’est constitué en objet de recherche en marketing, grâce aux efforts investis par de nombreux distributeurs dans la création d’offres expérientielles. La littérature académique s’est d’abord concentrée sur les antécédents, la recherche et les conséquences de l’expérience, avant de prendre en compte le contenu même de l’expérience. Les stratégies des détaillants peuvent être analysées en mobilisant des grilles de lecture fondées sur la nature de la participation du consommateur à la production de l’expérience, ou sur le caractère extraordinaire ou ordinaire de l’expérience proposée. Le modèle synthétique proposé permet de rendre compte de l’expérience du con…
LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms.
2021
Deep learning has achieved unprecedented success in sleep stage classification tasks, which starts to pave the way for potential real-world applications. However, due to its enormous size, deployment of deep neural networks is hindered by high cost at various aspects, such as computation power, storage, network bandwidth, power consumption, and hardware complexity. For further practical applications (e.g., wearable sleep monitoring devices), there is a need for simple and compact models. In this paper, we propose a lightweight model, namely LightSleepNet, for rapid sleep stage classification based on spectrograms. Our model is assembled by a much fewer number of model parameters compared to…
Cross-Device Augmented Reality Annotations Method for Asynchronous Collaboration in Unprepared Environments
2021
Augmented Reality (AR) annotations are a powerful way of communication when collaborators cannot be present at the same time in a given environment. However, this situation presents several challenges, for example: how to record the AR annotations for later consumption, how to align virtual and real world in unprepared environments or how to offer the annotations to users with different AR devices. In this paper we present a cross-device AR annotation method that allows users to create and display annotations asynchronously in environments without the need for prior preparation (AR markers, point cloud capture, etc.). This is achieved through an easy user-assisted calibration process and a …
OntoSTEP: Enriching product model data using ontologies
2012
The representation and management of product lifecycle information is critical to any manufacturing organization. Different modeling languages are used at different lifecycle stages, for example STEP's EXPRESS may be used at a detailed design stage, while UML may be used for initial design stages. It is necessary to consolidate product information created using these different languages to build a coherent knowledge base. In this paper, we present an approach to enable the translation of STEP schema and its instances to Ontology Web Language (OWL). This gives a model-which we call OntoSTEP-that can easily be integrated with any OWL ontologies to create a semantically rich model. As an examp…