Search results for " Computer"
showing 10 items of 6910 documents
Diversité des communautés microbiennes telluriques à l'échelle du territoire national
2009
Communication orale - résumé Session 5 : sols, biodiversité, écologie fontionnelleCommunication orale - résumé Session 5 : sols, biodiversité, écologie fontionnelle; absent
Network Capacity Estimators Predicting QoE in HTTP Adaptive Streaming
2022
The aim of adaptive HTTP streaming technology is preserving the best possible video streaming quality for viewers in heterogeneous network conditions. This can be achieved by making multiple quality versions of the video available. Switching between versions during playback should be imperceptible and fluent. The decision about quality-level switching is typically based on network capacity estimation and buffer occupancy, which predict the risk of stalling. Since quality-level switching and stalling are directly evident to the user, they are often classified as influence factors of quality of experience (QoE). In this paper, we observe different network capacity estimators and buffer behavi…
Cluny: de la gestion de données à la réalité augmentée
2007
Cluny III was the greatest abbey of the Christendom until the construction of Saint-Peters of Roma in the 17th century. Unfortunately, the Order of Cluny was broke up with the French revolution, and the church became a stone pit carry. Until 2010, for the commemoration of the Cluny foundation, a great restoration yard has begun. It is composed of two parts: Hézelon which is the restoration and development program for the patrimony of Cluny; and Gunzo, which is a research assembly on new image technologies, for knowledge and valorisation of the site. To facilitate the comprehension of this patrimony, and to allow the public to access its past, augmented reality features had been developed.
Utilisation et traitement des données saisies sous EndNote avec des scripts PHP/MySQL
2010
National audience; Cet article présente la façon d’exploiter ou de traiter des données de références bibliographiques saisies ou importées dans EndNote en dehors de leur logiciel natif en utilisant des scripts PHP/MySQL. Deux raisons nous ont amenés à utiliser ce traitement : soit EndNote ne pouvait pas faire des opérations particulières, soit il le pouvait mais de façon trop fastidieuse. Dans ce but nous exposerons dans un premier temps la façon dont les données sont organisées par EndNote, puis la méthode pour les exploiter et enfin nous donnerons quelques exemples d’utilisation.
« Une base de données de traductions en périodiques : la ‘Décabase’ » (avec Caroline Crépiat, Université de Lille), Colloque international, « What’s …
2022
Présentation de la "Décabase", base de données de traductions des poètes et auteurs britanniques décadents dans les périodiques français entre 1885 et 1914.Ce projet a été réalisé par Caroline Crépiat, post-doctorante à l’Université de Bourgogne (2019-2020), Arnaud Millereux, ASI à la MSH de Dijon, Dorian Morel, stagiaire informatique et Bénédicte Coste, Professeur de littérature et de culture victoriennes, Université de Bourgogne. Cette base trouve sa source d’inspiration dans la base « Intraduction. Traduire en français, 18e-19e siècle constituée par Blaise Wilfert-Portal et Claire Guérin qui ont dépouillé les volumes 1 à 27 du Catalogue général de la librairie française, entre 1840 et 19…
SHREC'12 Track: 3D mesh segmentation
2012
International audience; 3D mesh segmentation is a fundamental process in many applications such as shape retrieval, compression, deformation, etc. The objective of this track is to evaluate the performance of recent segmentation methods using a ground-truth corpus and an accurate similarity metric. The ground-truth corpus is composed of 28 watertight models, grouped in five classes (animal, furniture, hand, human and bust) and each associated with 4 ground-truth segmentations done by human subjects. 3 research groups have participated to this track, the accuracy of their segmentation algorithms have been evaluated and compared with 4 other state-of-the-art methods.
Multiverse Ethnography: A Qualitative Method for Gaming and Technology Use Research
2021
This article introduces multiverse ethnography as a systematic team-based qualitative method for studying the mechanical, structural and experiential properties of video games and other technological artefacts. Instead of applying the ethnographic method to produce a single in-depth account, multiverse ethnography includes multiple researchers carrying out coordinated synergetic ethnographic work on the same research object, thus producing a multiverse of interpretations and perspectives. To test the method, 41 scholars carried out a multiverse ethnography on two video games, Cyberpunk 2077 and Among Us. Explorative thematic findings regarding both titles are reported and methodological imp…
Data-driven value creation in digitalizing public service
2022
Data has become an important asset in value creation. Organizations are dealing with a huge amount of data generated on different platforms. In dynamic environments, public organizations have an opportunity to make innovations by applying innovative technologies, implementing big data, and enabling data analytics capabilities that can create value. Evidence from the literature shows that organizations need data analytics capabilities to achieve data-driven value creation. In this chapter, based on a literature review and case example, the aim is to present the factors enabling public innovations from the big data analytics perspective; a theoretical framework for data-driven value creation …
Big Data Applications for Disaster Management
2017
International audience; The term "disaster management" comprises both natural and man-made disasters. Highly pervaded with various types of sensors, our environment generates large amounts of data. Thus, big data applications in the field of disaster management should adopt a modular view, going from a component to nation scale. Current research trends mainly aim at integrating component, building, neighborhood and city levels, neglecting the region level for managing disasters. Current research on big data mainly address smart buildings and smart grids, notably in the following areas: energy waste management, prediction and planning of power generation needs (based on smart meter readings,…
Systematic Literature Review on Customer Emotions in Social Media
2018
Customers are human beings who express their emotions openly on social media platforms. There is a wealth of social media data that companies can make use of to improve their business decision making and tailor their marketing strategies. In order to benefit from this, organizations need to apply computational methods, which can save time and effort rather than applying traditional consumer research approaches, such as surveys or interviews. The purpose of this study is to investigate existing computational studies on detecting consumer emotions from social media data. We conducted a systematic literature review on articles published in ScienceDirect, IEEE Explore, ACM Digital Library, and …