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  • Mémoires en Sciences de l'Information et de la Communication
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  • Open Access English
    Authors: 
    Antonio Alguacil; Michaël Bauerheim; Marc C. Jacob; Stéphane Moreau;
    Country: France

    International audience; A deep learning surrogate for the direct numerical prediction of two-dimensional acoustic waves propagation and scattering with obstacles is developed through an auto-regressive spatio- temporal convolutional neural network. A single database of high-fidelity lattice Boltzmann temporal simulations is employed in the training of the network, achieving accurate predictions for long simulation times for a variety of test cases, representative of bounded and unbounded configurations. The capacity of the network to extrapolate outside the manifold of examples seen during the training phase is demonstrated by the obtaining of accurate acoustic predic- tions for relevant applications, such as the scattering of acoustic waves on an airfoil trailing edge, an engine nacelle or in-duct propagation. The method is tested for two types of input normalizations, coupled with an a-posteriori correction which improves the acoustic energy conservation of the predictions. The use of an adaptive local normalization along with the physics-based energy conservation results in an error reduction for all the studied cases.

  • Open Access
    Authors: 
    Amit Kumar Pandey; Muhammad Intizar Ali; Matthieu Warnier; Rachid Alami;
    Publisher: IEEE
    Country: France
    Project: EC | CHRIS (215805)

    Robots are expected to co-operate with humans in day-to-day interaction. One aspect of such co-operation is behaving proactively. In this paper, our robot will exploit the visuo-spatial perspective-taking of the human partner not only from his current state but also from a set of different states he might attain from his current state. Such rich information will help the robot in better predicting ‘where’ the human can perform a particular task and how the robot could support it. We have tested the system on two different robots for the tasks of giving and making an object accessible to the robot by the human partner. Our robots equipped with such multi-state visuo-spatial perspective-taking capabilities show different proactive behaviors depending upon the task and situation, such as reach out proactively and to a correct place, when human has to give an object to the robot. Primary results of user studies show that such proactive behaviors reduce the human's ‘confusion’ as well as ‘the robot’ seems to be more ‘aware’ about the task and the human.

  • English
    Authors: 
    Dhaou Said; Soumaya Cherkaoui; Lyes Khoukhi;
    Publisher: HAL CCSD
    Country: France

    In this paper, a scheduling protocol for electric vehicle (EV) home charging with time of use pricing is introduced. This work addresses the problem of EVs charging at home by adopting an appropriate charging process protocol over Power Line Communications (PLC). The scheduling protocol is aimed at minimizing peak loads on distribution feeders due to multiple EVs charging while using a time-of-use pricing policy. Energy efficiency and performance are both taken into account. An appropriate analytical formulation of the scheduling problem is given together with the proposed scheduling protocol. Simulations demonstrate the effectiveness of the proposed approach in minimizing peak loads while satisfying the defined constraints.

  • Closed Access English
    Authors: 
    Bernard Klonjkowski; Dieter Klein; Sandra Galea; Francoise Gavard; Martine Monteil; Lidia Duarte; Annie Fournier; Sophie Sayon; Kamila Górna; Reinhard Ertl; +4 more
    Publisher: HAL CCSD
    Country: France

    International audience; The evaluation of vaccine strategies in animal models is essential for the development of a vaccine against HIV. In efficacy trials conducted in non-human primate models of AIDS, vaccines based on adenoviruses compared favourably with other vaccine vectors. To determine whether this strategy could be transposed to another animal model, and by extension, to humans, we have evaluated the efficacy of adenoviral vectors in a natural model of AIDS, infection of the cat by the feline immunodeficiency virus (FIV). Recombinant canine adenoviruses expressing the envelope glycoproteins or the Gag protein of a primary strain of FIV were constructed. Three groups of six cats were immunised twice with vectors expressing FIV antigens or with a vector expressing an irrelevant antigen, green fluorescent protein, by intramuscular and subcutaneous routes. Humoral responses were elicited against the transgene product in 6/6, 3/6 and 0/6 cats after immunisation against green fluorescent protein, Gag or the envelope glycoproteins, respectively. Six weeks after the second administration, cats were challenged by the intraperitoneal route with the homologous strain, and viral burden in plasma was followed by quantitative RT-PCR. Immunisation with FIV antigens did not afford protection. Rather, viral RNA was detected at earlier time points in cats immunised against Gag than in cats immunised with a vector expressing an irrelevant antigen. Such immune-mediated enhancement did not appear to have a long-range impact on viral set point or inversion of the CD4(+)/CD8(+) ratio. Thus, in the feline AIDS model pre-existing immunity against a viral antigen exacerbated acute phase infection.

  • Publication . Conference object . Other literature type . 2016
    Open Access
    Authors: 
    Etienne Parizet; Ryan Robart; Perceval Pondrom; Jean-Christophe Chamard; Guillaume Baudet; David Quinn; Karl Janssens; Manfred Haider;
    Publisher: Wiley
    Country: France
    Project: EC | EVADER (285095)

    International audience; Electric or hybrid vehicles are very silent, which represents a major advantage for the reduction of noise annoyance in urban areas. But this makes them dangerous for pedestrians, especially vulnerable ones as visually-impaired people. Current solutions consist in using warning sound so that the exterior noise of an electric vehicle is as high as for a conventional one. This may cancel the benefit of electric vehicles for the reduction of sound annoyance. The eVADER project (funded by the European Commission) aims at proposing a prototype car which combines a high safety and a low noise level. A part of the the work program consisted in perceptual studies. The goal of these studies was to evaluate the influence of various timbre parameters on the detectability and the unpleasantness of a warning sound. Results show that it is possible to make an electric vehicle easily detected while keeping its sound level much lower than the one of a conventional car.

  • Publication . Part of book or chapter of book . Conference object . Preprint . 2019
    Open Access
    Authors: 
    Quentin Roy; Camelia Zakaria; Simon T. Perrault; Mathieu Nancel; Wonjung Kim; Archan Misra; Andy Cockburn;
    Publisher: Center for Open Science
    Country: France

    Part 8: Pointing, Touch, Gesture and Speech-Based Interaction Techniques; International audience; Eyewear displays allow users to interact with virtual content displayed over real-world vision, in active situations like standing and walking. Pointing techniques for eyewear displays have been proposed, but their social acceptability, efficiency, and situation awareness remain to be assessed. Using a novel street-walking simulator, we conducted an empirical study of target acquisition while standing and walking under different levels of street crowdedness. We evaluated three phone-based eyewear pointing techniques: indirect touch on a touchscreen, and two in-air techniques using relative device rotations around forward and a downward axes. Direct touch on a phone, without eyewear, was used as a control condition. Results showed that indirect touch was the most efficient and socially acceptable technique, and that in-air pointing was inefficient when walking. Interestingly, the eyewear displays did not improve situation awareness compared to the control condition. We discuss implications for eyewear interaction design.

  • Open Access English
    Authors: 
    Xavier Bultel; Sébastien Gambs; David Gérault; pascal lafourcade; Cristina Onete; Jean-Marc Robert;
    Publisher: HAL CCSD
    Country: France
    Project: NSERC

    International audience; Les communications sans contact sont omniprésentes dans notre quotidien, allant des badges de contrôle d'accès au passeport électronique. Ces systèmes sont sensibles aux attaques par relais, dans lesquelles un adversaire transfère simplement les messages entre le prouveur et le vérifieur pour usurper l'identité du prouveur. Les protocoles délimiteurs de distance (distance-bounding) ont été ont ntroduits pour contrer ces attaques en assurant une borne sur la distance entre le prouveur et le vérifieur grâcè a la mesure du temps des communications. Par la suite de nombreux travaux ont amélioré la sécurité de ces protocoles, mais ont aussi cherché à assurer le respect de la vie privée face à des adversaires actifs et également face à des vérifieurs malicieux. En particulier, une menace difficile à prévenir est la fraude terroriste, où un prouveur lointain coopère avec un complice proche pour tromper le vérifieur. La contre-mesure usuelle pour cette menace est de rendre impossible l'action du complice sans l'aide du prouveur lointain, à moins que le prouveur ne lui donne suffisamment d'information pour qu'il retrouve sa clef privée et puisse ainsi toujours se faire passer pour le prouveur. Dans cet article, nous proposons une nouvelle approche où le prouveur ne révèle pas sa clef privée mais utilise une clef de session avec une signature de groupe, la rendant ainsi utilisable plusieurs fois. Ceci permet à un adversaire d'usurper l'identité du prouveur sans même connaître sa clef de signature. Grâce à cette approche nous proposons SPADE le premier protocole de délimiteur de distance qui est anonyme, révocable et formellement prouvé sûr. Mots-clefs : Protocole délimiteur de distance (Distance Bounding), Sécurité, résitance à la fraude terroriste.

  • French
    Authors: 
    Allard, Daniele; Mizoguchi, Riichiro; Bourdeau, Jacqueline;
    Publisher: HAL CCSD
    Country: France

    This research project aims to design a CALL system (Computer-Assisted Language Learning). The goal of the system is to help users overcome cross-linguistic difficulties, that is to say, transfer and interference stemming from a native language (L1) in the process of acquiring a second or foreign language (L2). It is built following an ontological engineering methodology, which is well-known in the artificial intelligence community. In this article, we describe what is cross-linguistic influence, provide a concrete example of what it might entail, and briefly explain how the system might work along with our research methodology.

  • Publication . Conference object . Part of book or chapter of book . 2021
    Open Access English
    Authors: 
    Song Wang; Yuting He; Youyong Kong; Xiaomei Zhu; Shaobo Zhang; Pengfei Shao; Jean-Louis Dillenseger; Jean-Louis Coatrieux; Shuo Li; Guanyu Yang;
    Publisher: HAL CCSD
    Country: France

    Renal compartment segmentation on CT images targets on extracting the 3D structure of renal compartments from abdominal CTA images and is of great significance to the diagnosis and treatment for kidney diseases. However, due to the unclear compartment boundary, thin compartment structure and large anatomy variation of 3D kidney CT images, deep-learning based renal compartment segmentation is a challenging task. We propose a novel weakly supervised learning framework, Cycle Prototype Network, for 3D renal compartment segmentation. It has three innovations: (1) A Cycle Prototype Learning (CPL) is proposed to learn consistency for generalization. It learns from pseudo labels through the forward process and learns consistency regularization through the reverse process. The two processes make the model robust to noise and label-efficient. (2) We propose a Bayes Weakly Supervised Module (BWSM) based on cross-period prior knowledge. It learns prior knowledge from cross-period unlabeled data and perform error correction automatically, thus generates accurate pseudo labels. (3) We present a Fine Decoding Feature Extractor (FDFE) for fine-grained feature extraction. It combines global morphology information and local detail information to obtain feature maps with sharp detail, so the model will achieve fine segmentation on thin structures. Our extensive experiments demonstrated our great performance. Our model achieves Dice of \(79.1\%\) and \(78.7\%\) with only four labeled images, achieving a significant improvement by about \(20\%\) than typical prototype model PANet [16].

  • Publication . Article . Other literature type . Preprint . Conference object . 2005
    Open Access English
    Authors: 
    Boris Adamczewski; Yann Bugeaud;
    Publisher: HAL CCSD
    Country: France
    Project: FWF | Diophantine approximation... (M 822)

    Let $\mathbf{k}$ be an arbitrary field. For any fixed badly approximable power series $\Theta$ in $\mathbf{k}((X^{-1}))$, we give an explicit construction of continuum many badly approximable power series $\Phi$ for which the pair $(\Theta, \Phi)$ satisfies the Littlewood conjecture. We further discuss the Littlewood conjecture for pairs of algebraic power series.

Advanced search in
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
4,420 Research products, page 1 of 442
  • Open Access English
    Authors: 
    Antonio Alguacil; Michaël Bauerheim; Marc C. Jacob; Stéphane Moreau;
    Country: France

    International audience; A deep learning surrogate for the direct numerical prediction of two-dimensional acoustic waves propagation and scattering with obstacles is developed through an auto-regressive spatio- temporal convolutional neural network. A single database of high-fidelity lattice Boltzmann temporal simulations is employed in the training of the network, achieving accurate predictions for long simulation times for a variety of test cases, representative of bounded and unbounded configurations. The capacity of the network to extrapolate outside the manifold of examples seen during the training phase is demonstrated by the obtaining of accurate acoustic predic- tions for relevant applications, such as the scattering of acoustic waves on an airfoil trailing edge, an engine nacelle or in-duct propagation. The method is tested for two types of input normalizations, coupled with an a-posteriori correction which improves the acoustic energy conservation of the predictions. The use of an adaptive local normalization along with the physics-based energy conservation results in an error reduction for all the studied cases.

  • Open Access
    Authors: 
    Amit Kumar Pandey; Muhammad Intizar Ali; Matthieu Warnier; Rachid Alami;
    Publisher: IEEE
    Country: France
    Project: EC | CHRIS (215805)

    Robots are expected to co-operate with humans in day-to-day interaction. One aspect of such co-operation is behaving proactively. In this paper, our robot will exploit the visuo-spatial perspective-taking of the human partner not only from his current state but also from a set of different states he might attain from his current state. Such rich information will help the robot in better predicting ‘where’ the human can perform a particular task and how the robot could support it. We have tested the system on two different robots for the tasks of giving and making an object accessible to the robot by the human partner. Our robots equipped with such multi-state visuo-spatial perspective-taking capabilities show different proactive behaviors depending upon the task and situation, such as reach out proactively and to a correct place, when human has to give an object to the robot. Primary results of user studies show that such proactive behaviors reduce the human's ‘confusion’ as well as ‘the robot’ seems to be more ‘aware’ about the task and the human.

  • English
    Authors: 
    Dhaou Said; Soumaya Cherkaoui; Lyes Khoukhi;
    Publisher: HAL CCSD
    Country: France

    In this paper, a scheduling protocol for electric vehicle (EV) home charging with time of use pricing is introduced. This work addresses the problem of EVs charging at home by adopting an appropriate charging process protocol over Power Line Communications (PLC). The scheduling protocol is aimed at minimizing peak loads on distribution feeders due to multiple EVs charging while using a time-of-use pricing policy. Energy efficiency and performance are both taken into account. An appropriate analytical formulation of the scheduling problem is given together with the proposed scheduling protocol. Simulations demonstrate the effectiveness of the proposed approach in minimizing peak loads while satisfying the defined constraints.

  • Closed Access English
    Authors: 
    Bernard Klonjkowski; Dieter Klein; Sandra Galea; Francoise Gavard; Martine Monteil; Lidia Duarte; Annie Fournier; Sophie Sayon; Kamila Górna; Reinhard Ertl; +4 more
    Publisher: HAL CCSD
    Country: France

    International audience; The evaluation of vaccine strategies in animal models is essential for the development of a vaccine against HIV. In efficacy trials conducted in non-human primate models of AIDS, vaccines based on adenoviruses compared favourably with other vaccine vectors. To determine whether this strategy could be transposed to another animal model, and by extension, to humans, we have evaluated the efficacy of adenoviral vectors in a natural model of AIDS, infection of the cat by the feline immunodeficiency virus (FIV). Recombinant canine adenoviruses expressing the envelope glycoproteins or the Gag protein of a primary strain of FIV were constructed. Three groups of six cats were immunised twice with vectors expressing FIV antigens or with a vector expressing an irrelevant antigen, green fluorescent protein, by intramuscular and subcutaneous routes. Humoral responses were elicited against the transgene product in 6/6, 3/6 and 0/6 cats after immunisation against green fluorescent protein, Gag or the envelope glycoproteins, respectively. Six weeks after the second administration, cats were challenged by the intraperitoneal route with the homologous strain, and viral burden in plasma was followed by quantitative RT-PCR. Immunisation with FIV antigens did not afford protection. Rather, viral RNA was detected at earlier time points in cats immunised against Gag than in cats immunised with a vector expressing an irrelevant antigen. Such immune-mediated enhancement did not appear to have a long-range impact on viral set point or inversion of the CD4(+)/CD8(+) ratio. Thus, in the feline AIDS model pre-existing immunity against a viral antigen exacerbated acute phase infection.

  • Publication . Conference object . Other literature type . 2016
    Open Access
    Authors: 
    Etienne Parizet; Ryan Robart; Perceval Pondrom; Jean-Christophe Chamard; Guillaume Baudet; David Quinn; Karl Janssens; Manfred Haider;
    Publisher: Wiley
    Country: France
    Project: EC | EVADER (285095)

    International audience; Electric or hybrid vehicles are very silent, which represents a major advantage for the reduction of noise annoyance in urban areas. But this makes them dangerous for pedestrians, especially vulnerable ones as visually-impaired people. Current solutions consist in using warning sound so that the exterior noise of an electric vehicle is as high as for a conventional one. This may cancel the benefit of electric vehicles for the reduction of sound annoyance. The eVADER project (funded by the European Commission) aims at proposing a prototype car which combines a high safety and a low noise level. A part of the the work program consisted in perceptual studies. The goal of these studies was to evaluate the influence of various timbre parameters on the detectability and the unpleasantness of a warning sound. Results show that it is possible to make an electric vehicle easily detected while keeping its sound level much lower than the one of a conventional car.

  • Publication . Part of book or chapter of book . Conference object . Preprint . 2019
    Open Access
    Authors: 
    Quentin Roy; Camelia Zakaria; Simon T. Perrault; Mathieu Nancel; Wonjung Kim; Archan Misra; Andy Cockburn;
    Publisher: Center for Open Science
    Country: France

    Part 8: Pointing, Touch, Gesture and Speech-Based Interaction Techniques; International audience; Eyewear displays allow users to interact with virtual content displayed over real-world vision, in active situations like standing and walking. Pointing techniques for eyewear displays have been proposed, but their social acceptability, efficiency, and situation awareness remain to be assessed. Using a novel street-walking simulator, we conducted an empirical study of target acquisition while standing and walking under different levels of street crowdedness. We evaluated three phone-based eyewear pointing techniques: indirect touch on a touchscreen, and two in-air techniques using relative device rotations around forward and a downward axes. Direct touch on a phone, without eyewear, was used as a control condition. Results showed that indirect touch was the most efficient and socially acceptable technique, and that in-air pointing was inefficient when walking. Interestingly, the eyewear displays did not improve situation awareness compared to the control condition. We discuss implications for eyewear interaction design.

  • Open Access English
    Authors: 
    Xavier Bultel; Sébastien Gambs; David Gérault; pascal lafourcade; Cristina Onete; Jean-Marc Robert;
    Publisher: HAL CCSD
    Country: France
    Project: NSERC

    International audience; Les communications sans contact sont omniprésentes dans notre quotidien, allant des badges de contrôle d'accès au passeport électronique. Ces systèmes sont sensibles aux attaques par relais, dans lesquelles un adversaire transfère simplement les messages entre le prouveur et le vérifieur pour usurper l'identité du prouveur. Les protocoles délimiteurs de distance (distance-bounding) ont été ont ntroduits pour contrer ces attaques en assurant une borne sur la distance entre le prouveur et le vérifieur grâcè a la mesure du temps des communications. Par la suite de nombreux travaux ont amélioré la sécurité de ces protocoles, mais ont aussi cherché à assurer le respect de la vie privée face à des adversaires actifs et également face à des vérifieurs malicieux. En particulier, une menace difficile à prévenir est la fraude terroriste, où un prouveur lointain coopère avec un complice proche pour tromper le vérifieur. La contre-mesure usuelle pour cette menace est de rendre impossible l'action du complice sans l'aide du prouveur lointain, à moins que le prouveur ne lui donne suffisamment d'information pour qu'il retrouve sa clef privée et puisse ainsi toujours se faire passer pour le prouveur. Dans cet article, nous proposons une nouvelle approche où le prouveur ne révèle pas sa clef privée mais utilise une clef de session avec une signature de groupe, la rendant ainsi utilisable plusieurs fois. Ceci permet à un adversaire d'usurper l'identité du prouveur sans même connaître sa clef de signature. Grâce à cette approche nous proposons SPADE le premier protocole de délimiteur de distance qui est anonyme, révocable et formellement prouvé sûr. Mots-clefs : Protocole délimiteur de distance (Distance Bounding), Sécurité, résitance à la fraude terroriste.

  • French
    Authors: 
    Allard, Daniele; Mizoguchi, Riichiro; Bourdeau, Jacqueline;
    Publisher: HAL CCSD
    Country: France

    This research project aims to design a CALL system (Computer-Assisted Language Learning). The goal of the system is to help users overcome cross-linguistic difficulties, that is to say, transfer and interference stemming from a native language (L1) in the process of acquiring a second or foreign language (L2). It is built following an ontological engineering methodology, which is well-known in the artificial intelligence community. In this article, we describe what is cross-linguistic influence, provide a concrete example of what it might entail, and briefly explain how the system might work along with our research methodology.

  • Publication . Conference object . Part of book or chapter of book . 2021
    Open Access English
    Authors: 
    Song Wang; Yuting He; Youyong Kong; Xiaomei Zhu; Shaobo Zhang; Pengfei Shao; Jean-Louis Dillenseger; Jean-Louis Coatrieux; Shuo Li; Guanyu Yang;
    Publisher: HAL CCSD
    Country: France

    Renal compartment segmentation on CT images targets on extracting the 3D structure of renal compartments from abdominal CTA images and is of great significance to the diagnosis and treatment for kidney diseases. However, due to the unclear compartment boundary, thin compartment structure and large anatomy variation of 3D kidney CT images, deep-learning based renal compartment segmentation is a challenging task. We propose a novel weakly supervised learning framework, Cycle Prototype Network, for 3D renal compartment segmentation. It has three innovations: (1) A Cycle Prototype Learning (CPL) is proposed to learn consistency for generalization. It learns from pseudo labels through the forward process and learns consistency regularization through the reverse process. The two processes make the model robust to noise and label-efficient. (2) We propose a Bayes Weakly Supervised Module (BWSM) based on cross-period prior knowledge. It learns prior knowledge from cross-period unlabeled data and perform error correction automatically, thus generates accurate pseudo labels. (3) We present a Fine Decoding Feature Extractor (FDFE) for fine-grained feature extraction. It combines global morphology information and local detail information to obtain feature maps with sharp detail, so the model will achieve fine segmentation on thin structures. Our extensive experiments demonstrated our great performance. Our model achieves Dice of \(79.1\%\) and \(78.7\%\) with only four labeled images, achieving a significant improvement by about \(20\%\) than typical prototype model PANet [16].

  • Publication . Article . Other literature type . Preprint . Conference object . 2005
    Open Access English
    Authors: 
    Boris Adamczewski; Yann Bugeaud;
    Publisher: HAL CCSD
    Country: France
    Project: FWF | Diophantine approximation... (M 822)

    Let $\mathbf{k}$ be an arbitrary field. For any fixed badly approximable power series $\Theta$ in $\mathbf{k}((X^{-1}))$, we give an explicit construction of continuum many badly approximable power series $\Phi$ for which the pair $(\Theta, \Phi)$ satisfies the Littlewood conjecture. We further discuss the Littlewood conjecture for pairs of algebraic power series.

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