Search results for "Computer science"
showing 10 items of 22367 documents
Prosody and fluency of Finland Swedish as a second language: Investigating global parameters for automated speaking assessment
2023
This study investigates prosody and fluency of Finland Swedish as a second language (L2). The main objective is to investigate global measures of prosody and fluency as predictors of overall oral proficiency, fluency, and pronunciation ratings. We analyzed parameters related to temporal fluency, timing (based on syllable durations), and f0 change from spontaneous speech produced by 30 native and 235 non-native speakers of Finland Swedish representing proficiency levels from beginner to intermediate. We used pairwise comparisons to investigate the differences between native speech (L1) and L2 samples from different proficiency levels. To study the predictability of ratings with acoustic para…
New is not always costly: evidence from online processing of topic and contrast in Japanese.
2013
Two visual ERP experiments were conducted to investigate topic and contrast assigned by various cues such as discourse context, sentential position and marker during referential processing in Japanese. Experiment 1 showed that there was no N400-difference for new vs. given noun phrases (NPs) when the new NP was expected (contrastively focused) based on its preceding context and sentential position. Experiment 2 further revealed that the N400 for new NPs can be modulated by the NP’s contrastive meaning (exhausitivity) induced from the marker. Both experiments also showed that new NPs engendered an increased Late Positivity. The reduced N400 for new vs. given supports an expectation-based lin…
Anonymization as homeomorphic data space transformation for privacy-preserving deep learning
2021
Industry 4.0 is largely data-driven nowadays. Owners of the data, on the one hand, want to get added value from the data by using remote artificial intelligence tools as services, on the other hand, they concern on privacy of their data within external premises. Ideal solution for this challenge would be such anonymization of the data, which makes the data safe in remote servers and, at the same time, leaves the opportunity for the machine learning algorithms to capture useful patterns from the data. In this paper, we take the problem of supervised machine learning with deep feedforward neural nets and provide an anonymization algorithm (based on the homeomorphic data space transformation),…
Skeleton-Based Multiview Reconstruction
2016
International audience; The advantage of skeleton-based 3D reconstruction is to completely generate a single 3D object from well chosen views. Having numerous views is necessary for a reliable reconstruction but projections of skeletons lead to different topologies. We reconstruct 3D objects with curved medial axis (whose topology is a tree) from the perspective skeletons on an arbitrary number of calibrated acquisitions. The main contribution is to estimate the 3D skeleton, from multiple images: its topology is chosen as the closest to those of the perspective skeletons on the set of images, which means that the number of topology changes to map the 3D skeleton topology to topologies on im…
A New Spatial Shift‐Share Decomposition: An Application to Tourism Competitiveness in Italian Regions
2020
The paper proposes a new version of spatial shift-share decomposition to improve on the various approaches to conventional shift-share analysis found in the literature. The novelty of our proposal is that it enables researchers to assess spatial competitiveness effects controlling for the influence of industrial specialization at both regional and neighborhood level. This new version is applied to inbound tourism in Italian regions and enables us to identify the best and worst performers. Our empirical results identify favorable scenarios in some areas of the country, such as Sardinia as well as regional advantage in a sizeable number of well-known destinations.
Smart Wireless Sensor Networks and Biometric Authentication for Real Time Traffic Light Junctions Management
2013
The main challenge of intelligent transportation systems (ITS) is to deal with ‘real-time’ information to improve vehicular traffic management. Road data can be processed and used for dynamic traffic light management in order to reduce waiting times in queues. This paper proposes an innovative distributed architecture based on a wireless sensor network (WSN) with a network coordinator providing remote and ubiquitous authentication module for managing unexpected events. The architecture is completed by a dynamic module for street priority management depending on traffic rate. Many experimental trials have been carried out considering three different levels of traffic intensity to prove the e…
Dealing with the right of way in advanced traffic simulation. A characterization of drivers' behaviours in a multi-agent approach
2017
International audience; With the emergence of ADAS and autonomous vehicle, the need of simulation software to test advanced systems and models is unavoidable. The objective of this work is to characterize, in a multi-agent approach, the traffic vehicles behaviours, and to model them in a versatile traffic simulator, serving as a testing tool for integration in the traffic module of the SCANeR Studio T M simulation software. The algorithm will bring more natural interactions between vehicles in simulation and allow the emergence of new relevant situations for autonomous vehicles, observable in real, such as collision risk situations or even accidents, which have for now to be scripted in sce…
Ergonomie des documents techniques informatisés : expériences et recommandations sur l'utilisation des organisateurs para-linguistiques
1998
Despite an increasing development, the design of computerized documents is still based on intuitive or esthetics concerns, rather than on experimental evidence. However a large body of literature has investigated the effects of various display factors, both on a perceptual and on a cognitive level. We propose here a review of research and its implication on the design of computerized documents.
Document papier, document numérique
2003
8 pages; International audience; Les documents sur papier, que l'on croyait un temps menacés, semblent bel et bien perdurer à l'ère du « tout numérique ». Ce support d'un autre âge rempli chaque jour des fonctions et répond à de nombreux usages pour lesquels peu d'utilisateurs préféreraient une version numérique. (Par document numérique, on entend les documents conçus et destinés à être utilisés sur écran.) C'est pour comprendre ce phénomène de résistance au « bureau zéro papier » que cet article tente de répertorier les principales différences entre les deux supports selon quatre points de vue : matériel (propriétés et caractéristiques du support), cognitif (représentation de la structure,…
Improving the Effect of Transcranial Alternating Current Stimulation (tACS): A Systematic Review
2021
With the development of electrical stimulation technology, traditional transcranial alternating current stimulation (tACS) technology has been found to have the drawback of not targeting a specific area accurately. Studies have shown that optimizing the number and position of electrodes during electrical stimulation has a very good effect on enhancing brain stimulation accuracy. At present, an increasing number of laboratories have begun to optimize tACS. However, there has been no study summarizing the optimization methods of tACS. Determining whether different optimization methods are effective and the optimization approach could provide information that could guide future tACS research. …