44 results on '"Micaelli P"'
Search Results
2. Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models
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Micaelli, Paul, Vahdat, Arash, Yin, Hongxu, Kautz, Jan, and Molchanov, Pavlo
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Cascaded computation, whereby predictions are recurrently refined over several stages, has been a persistent theme throughout the development of landmark detection models. In this work, we show that the recently proposed Deep Equilibrium Model (DEQ) can be naturally adapted to this form of computation. Our Landmark DEQ (LDEQ) achieves state-of-the-art performance on the challenging WFLW facial landmark dataset, reaching $3.92$ NME with fewer parameters and a training memory cost of $\mathcal{O}(1)$ in the number of recurrent modules. Furthermore, we show that DEQs are particularly suited for landmark detection in videos. In this setting, it is typical to train on still images due to the lack of labelled videos. This can lead to a ``flickering'' effect at inference time on video, whereby a model can rapidly oscillate between different plausible solutions across consecutive frames. By rephrasing DEQs as a constrained optimization, we emulate recurrence at inference time, despite not having access to temporal data at training time. This Recurrence without Recurrence (RwR) paradigm helps in reducing landmark flicker, which we demonstrate by introducing a new metric, normalized mean flicker (NMF), and contributing a new facial landmark video dataset (WFLW-V) targeting landmark uncertainty. On the WFLW-V hard subset made up of $500$ videos, our LDEQ with RwR improves the NME and NMF by $10$ and $13\%$ respectively, compared to the strongest previously published model using a hand-tuned conventional filter.
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- 2023
3. Use of Bayesian Network characteristics to link project management maturity and risk of project overcost
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Sanchez, Felipe, Monticolo, Davy, Bonjour, Eric, and Micaëlli, Jean-Pierre
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Computer Science - Software Engineering ,Computer Science - Artificial Intelligence - Abstract
The project management field has the imperative to increase the project probability of success. Experts have developed several project management maturity models to assets and improve the project outcome. However, the current literature lacks of models allowing correlating the measured maturity and the expected probability of success. This paper uses the characteristics of Bayesian networks to formalize experts' knowledge and to extract knowledge from a project overcost database. It develops a method to estimate the impact of project management maturity on the risk of project overcost. A general framework is presented. An industrial case is used to illustrate the application of the method.
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- 2020
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4. Gradient-based Hyperparameter Optimization Over Long Horizons
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Micaelli, Paul and Storkey, Amos
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Computer Science - Machine Learning ,Computer Science - Computer Vision and Pattern Recognition ,Statistics - Machine Learning - Abstract
Gradient-based hyperparameter optimization has earned a widespread popularity in the context of few-shot meta-learning, but remains broadly impractical for tasks with long horizons (many gradient steps), due to memory scaling and gradient degradation issues. A common workaround is to learn hyperparameters online, but this introduces greediness which comes with a significant performance drop. We propose forward-mode differentiation with sharing (FDS), a simple and efficient algorithm which tackles memory scaling issues with forward-mode differentiation, and gradient degradation issues by sharing hyperparameters that are contiguous in time. We provide theoretical guarantees about the noise reduction properties of our algorithm, and demonstrate its efficiency empirically by differentiating through $\sim 10^4$ gradient steps of unrolled optimization. We consider large hyperparameter search ranges on CIFAR-10 where we significantly outperform greedy gradient-based alternatives, while achieving $\times 20$ speedups compared to the state-of-the-art black-box methods. Code is available at: \url{https://github.com/polo5/FDS}
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- 2020
5. Meta-Learning in Neural Networks: A Survey
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Hospedales, Timothy, Antoniou, Antreas, Micaelli, Paul, and Storkey, Amos
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches to AI where tasks are solved from scratch using a fixed learning algorithm, meta-learning aims to improve the learning algorithm itself, given the experience of multiple learning episodes. This paradigm provides an opportunity to tackle many conventional challenges of deep learning, including data and computation bottlenecks, as well as generalization. This survey describes the contemporary meta-learning landscape. We first discuss definitions of meta-learning and position it with respect to related fields, such as transfer learning and hyperparameter optimization. We then propose a new taxonomy that provides a more comprehensive breakdown of the space of meta-learning methods today. We survey promising applications and successes of meta-learning such as few-shot learning and reinforcement learning. Finally, we discuss outstanding challenges and promising areas for future research.
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- 2020
6. Zero-shot Knowledge Transfer via Adversarial Belief Matching
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Micaelli, Paul and Storkey, Amos
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Performing knowledge transfer from a large teacher network to a smaller student is a popular task in modern deep learning applications. However, due to growing dataset sizes and stricter privacy regulations, it is increasingly common not to have access to the data that was used to train the teacher. We propose a novel method which trains a student to match the predictions of its teacher without using any data or metadata. We achieve this by training an adversarial generator to search for images on which the student poorly matches the teacher, and then using them to train the student. Our resulting student closely approximates its teacher for simple datasets like SVHN, and on CIFAR10 we improve on the state-of-the-art for few-shot distillation (with 100 images per class), despite using no data. Finally, we also propose a metric to quantify the degree of belief matching between teacher and student in the vicinity of decision boundaries, and observe a significantly higher match between our zero-shot student and the teacher, than between a student distilled with real data and the teacher. Code available at: https://github.com/polo5/ZeroShotKnowledgeTransfer
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- 2019
7. Machine learning applied to single-shot x-ray diagnostics in an XFEL
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Sanchez-Gonzalez, A., Micaelli, P., Olivier, C., Barillot, T. R., Ilchen, M., Lutman, A. A., Marinelli, A., Maxwell, T., Achner, A., Agåker, M., Berrah, N., Bostedt, C., Buck, J., Bucksbaum, P. H., Montero, S. Carron, Cooper, B., Cryan, J. P., Dong, M., Feifel, R., Frasinski, L. J., Fukuzawa, H., Galler, A., Hartmann, G., Hartmann, N., Helml, W., Johnson, A. S., Knie, A., Lindahl, A. O., Liu, J., Motomura, K., Mucke, M., O'Grady, C., Rubensson, J-E., Simpson, E. R., Squibb, R. J., Såthe, C., Ueda, K., Vacher, M., Walke, D. J., Zhaunerchyk, V., Coffee, R. N., and Marangos, J. P.
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Physics - Data Analysis, Statistics and Probability ,Physics - Accelerator Physics ,Statistics - Machine Learning - Abstract
X-ray free-electron lasers (XFELs) are the only sources currently able to produce bright few-fs pulses with tunable photon energies from 100 eV to more than 10 keV. Due to the stochastic SASE operating principles and other technical issues the output pulses are subject to large fluctuations, making it necessary to characterize the x-ray pulses on every shot for data sorting purposes. We present a technique that applies machine learning tools to predict x-ray pulse properties using simple electron beam and x-ray parameters as input. Using this technique at the Linac Coherent Light Source (LCLS), we report mean errors below 0.3 eV for the prediction of the photon energy at 530 eV and below 1.6 fs for the prediction of the delay between two x-ray pulses. We also demonstrate spectral shape prediction with a mean agreement of 97%. This approach could potentially be used at the next generation of high-repetition-rate XFELs to provide accurate knowledge of complex x-ray pulses at the full repetition rate., Comment: 12 pages, 8 figures
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- 2016
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8. Designing a Virtual Manikin Animation Framework Aimed at Virtual Prototyping
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Rennuit, Antoine, Micaelli, Alain, Andriot, Claude, Guillaume, François, Chevassus, Nicolas, Chablat, Damien, and Chedmail, Patrick
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Computer Science - Robotics - Abstract
In the industry, numerous commercial packages provide tools to introduce, and analyse human behaviour in the product's environment (for maintenance, ergonomics...), thanks to Virtual Humans. We will focus on control. Thanks to algorithms newly introduced in recent research papers, we think we can provide an implementation, which even widens, and simplifies the animation capacities of virtual manikins. In order to do so, we are going to express the industrial expectations as for Virtual Humans, without considering feasibility (not to bias the issue). The second part will show that no commercial application provides the tools that perfectly meet the needs. Thus we propose a new animation framework that better answers the problem. Our contribution is the integration - driven by need ~ of available new scientific techniques to animate Virtual Humans, in a new control scheme that better answers industrial expectations.
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- 2007
9. Integration of a Balanced Virtual Manikin in a Virtual Reality Platform aimed at Virtual Prototyping
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Rennuit, Antoine, Micaelli, Alain, Merlhiot, Xavier, Andriot, Claude, Guillaume, François, Chevassus, Nicolas, Chablat, Damien, and Chedmail, Patrick
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Computer Science - Robotics - Abstract
The work presented here is aimed at introducing a virtual human controller in a virtual prototyping framework. After a brief introduction describing the problem solved in the paper, we describe the interest as for digital humans in the context of concurrent engineering. This leads us to draw a control architecture enabling to drive virtual humans in a real-time immersed way, and to interact with the product, through motion capture. Unfortunately, we show this control scheme can lead to unfeasible movements because of the lack of balance control. Introducing such a controller is a problem that was never addressed in the context of real-time. We propose an implementation of a balance controller, that we insert into the previously described control scheme. Next section is dedicated to show the results we obtained. Finally, we propose a virtual reality platform into which the digital character controller is integrated.
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- 2007
10. Balanced Virtual Humans Interacting with their Environment
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Rennuit, Antoine, Micaelli, Alain, Merlhiot, Xavier, Andriot, Claude, Guillaume, François, Chevassus, Nicolas, Chablat, Damien, and Chedmail, Patrick
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Computer Science - Robotics - Abstract
The animation of human avatars seems very successful; the computer graphics industry shows outstanding results in films everyday, the game industry achieves exploits... Nevertheless, the animation and control processes of such manikins are very painful. It takes days to a specialist to build such animated sequences, and it is not adaptive to any type of modifications. Our main purpose is the virtual human for engineering, especially virtual prototyping. As for this domain of activity, such amounts of time are prohibitive.
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- 2007
11. Passive Control Architecture for Virtual Humans
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Rennuit, Antoine, Micaelli, Alain, Merlhiot, Xavier, Andriot, Claude, Guillaume, François, Chevassus, Nicolas, Chablat, Damien, and Chedmail, Patrick
- Subjects
Computer Science - Robotics - Abstract
In the present paper, we introduce a new control architecture aimed at driving virtual humans in interaction with virtual environments, by motion capture. It brings decoupling of functionalities, and also of stability thanks to passivity. We show projections can break passivity, and thus must be used carefully. Our control scheme enables task space and internal control, contact, and joint limits management. Thanks to passivity, it can be easily extended. Besides, we introduce a new tool as for manikin's control, which makes it able to build passive projections, so as to guide the virtual manikin when sharp movements are needed.
- Published
- 2007
12. New insights from Neolithic pottery analyses reveal subsistence practices and pottery use in early farmers from Cueva de El Toro (Málaga, Spain)
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Tarifa-Mateo, N., Clop-García, X., Rosell-Melé, A., Camalich-Massieu, M. D., Comes-Bordas, P., Martín-Socas, D., Nonza-Micaelli, A., and Rodríguez-Santos, F. J.
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- 2019
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13. Analogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback
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Takagi, Atsushi, De Magistris, Giovanni, Xiong, Geyun, Micaelli, Alain, Kambara, Hiroyuki, Koike, Yasuharu, Savin, Jonathan, Marsot, Jacques, and Burdet, Etienne
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- 2020
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14. Exploring sexualized substance use, sexual behaviors and HIV-screening practices in people attending erotic industry shows.
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Chollier, M., Bonierbale, M., Polesel, J. M., Clergue, F., Maquigneau, A., Micaelli, P., Korchia, T., Jarillot, E., Jourdan, L., Pillas, N., De Wever, R., and Enel, P.
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HIV prevention ,RISK-taking behavior ,STATISTICS ,SUBSTANCE abuse ,SEXUAL intercourse ,MOTIVATION (Psychology) ,HUMAN sexuality ,PORNOGRAPHY ,CROSS-sectional method ,MEDICAL screening ,SPOUSES ,SEX distribution ,HOMOSEXUALITY ,SEX customs ,HEALTH behavior ,DESCRIPTIVE statistics ,ALCOHOL drinking ,SEXUAL partners ,DRUGS of abuse ,HEALTH promotion - Abstract
Previous studies showed that Erotic industry sShows (ES) were appropriate events for sexual health promotion and testing interventions. A cross-sectional survey exploring screening practices, sexual behaviors, substance use, and sexual motives for substance use was conducted in ES in December 2017 and completed by 781 respondents. Overall,. Eighteen18% percent reported substance use in the last 3 months (51% alcohol), 26%. Twenty-six percent reported a sexual purpose for substance use. Main sexual partners were spouse (68%), regular (21%), unknown (18%) and several (17%) partners. Main sexual practices were libertinism (22%), partner swapping (15%) and threesome (15%). Twenty-seven percent of respondents reported cContactless sex was reported by 27% of the respondents. 18% reported no previous HIV test. Univariate analysis showed that having or not previous HIV test was linked to male sex (76.8% vs. 54.5%, p < 10−3), alcohol consumption in the last three months (58.7% vs. 49.4%, p =.043), number of drugs in a lifetime (1.3% vs. 1.6%, p =.022), sexual partnership with spouse/long-term partner (57.3% vs. 70.5%; p =.002), at least one multiple-partner sexual practice (23.1% vs. 31.8%, p =.040) and type of sexual attraction (p = <10−3). Results contribute to establishing the usefulness of HIV-testing and awareness campaigns in ES eventsand informing potential combined risk behaviors and related interventions. [ABSTRACT FROM AUTHOR]
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- 2023
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15. A human-like learning control for digital human models in a physics-based virtual environment
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Magistris, Giovanni De, Micaelli, Alain, Evrard, Paul, and Savin, Jonathan
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- 2015
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16. Exploring sexualized substance use, sexual behaviors and HIV-screening practices in people attending erotic industry shows
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Chollier, M., primary, Bonierbale, M., additional, Polesel, J. M., additional, Clergue, F., additional, Maquigneau, A., additional, Micaelli, P., additional, Korchia, T., additional, Jarillot, E., additional, Jourdan, L., additional, Pillas, N., additional, De Wever, R., additional, and Enel, P., additional
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- 2022
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17. Use of ram extruder as a combined rheo-tribometer to study the behaviour of high yield stress fluids at low strain rate
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Perrot, Arnoud, Mélinge, Yannick, Rangeard, Damien, Micaelli, Francesca, Estellé, Patrice, and Lanos, Christophe
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- 2012
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18. Small-Molecule Ebselen Binds to YTHDF Proteins Interfering with the Recognition of N6‑Methyladenosine-Modified RNAs.
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Micaelli, Mariachiara, Dalle Vedove, Andrea, Cerofolini, Linda, Vigna, Jacopo, Sighel, Denise, Zaccara, Sara, Bonomo, Isabelle, Poulentzas, Georgios, Rosatti, Emanuele Filiberto, Cazzanelli, Giulia, Alunno, Laura, Belli, Romina, Peroni, Daniele, Dassi, Erik, Murakami, Shino, Jaffrey, Samie R., Fragai, Marco, Mancini, Ines, Lolli, Graziano, and Quattrone, Alessandro
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- 2022
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19. Les effets cardiovasculaires liés à l'utilisation de la chloroquine
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Queyriaux, B, Carlioz, R, Perrier, E, Micaelli, P, Gressard, A, Deroche, J, Leduc, P.A, Quiniou, G, and Burlaton, J.P
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- 2001
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20. Interplay Between Gut Microbiota and Gastrointestinal Peptides: Potential Outcomes on the Regulation of Glucose Control.
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Lupien-Meilleur, Joseph, Andrich, David E., Quinn, Samantha, Micaelli-Baret, Clément, St-Amand, Roxane, Roy, Denis, and St-Pierre, David H.
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- 2020
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21. Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
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Sanchez-Gonzalez, A., primary, Micaelli, P., additional, Olivier, C., additional, Barillot, T. R., additional, Ilchen, M., additional, Lutman, A. A., additional, Marinelli, A., additional, Maxwell, T., additional, Achner, A., additional, Agåker, M., additional, Berrah, N., additional, Bostedt, C., additional, Bozek, J. D., additional, Buck, J., additional, Bucksbaum, P. H., additional, Montero, S. Carron, additional, Cooper, B., additional, Cryan, J. P., additional, Dong, M., additional, Feifel, R., additional, Frasinski, L. J., additional, Fukuzawa, H., additional, Galler, A., additional, Hartmann, G., additional, Hartmann, N., additional, Helml, W., additional, Johnson, A. S., additional, Knie, A., additional, Lindahl, A. O., additional, Liu, J., additional, Motomura, K., additional, Mucke, M., additional, O’Grady, C., additional, Rubensson, J-E, additional, Simpson, E. R., additional, Squibb, R. J., additional, Såthe, C., additional, Ueda, K., additional, Vacher, M., additional, Walke, D. J., additional, Zhaunerchyk, V., additional, Coffee, R. N., additional, and Marangos, J. P., additional
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- 2017
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22. Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
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Sanchez-Gonzalez, A., Micaelli, P., Olivier, C., Barillot, T. R., Ilchen, M., Lutman, A. A., Marinelli, A., Maxwell, T., Achner, A., Agåker, M., Berrah, N., Bostedt, C., Bozek, J. D., Buck, J., Bucksbaum, P. H., Montero, S. Carron, Cooper, B., Cryan, J. P., Dong, M., Feifel, R., Frasinski, L. J., Fukuzawa, H., Galler, A., Hartmann, G., Hartmann, N., Helml, W., Johnson, A. S., Knie, A., Lindahl, A. O., Liu, J., Motomura, K., Mucke, M., O'Grady, C., Rubensson, J-E., Simpson, E. R., Squibb, R. J., Sathe, C., Ueda, K., Vacher, M., Walke, D. J., Zhaunerchyk, V., Coffee, R. N., Marangos, J. P., Sanchez-Gonzalez, A., Micaelli, P., Olivier, C., Barillot, T. R., Ilchen, M., Lutman, A. A., Marinelli, A., Maxwell, T., Achner, A., Agåker, M., Berrah, N., Bostedt, C., Bozek, J. D., Buck, J., Bucksbaum, P. H., Montero, S. Carron, Cooper, B., Cryan, J. P., Dong, M., Feifel, R., Frasinski, L. J., Fukuzawa, H., Galler, A., Hartmann, G., Hartmann, N., Helml, W., Johnson, A. S., Knie, A., Lindahl, A. O., Liu, J., Motomura, K., Mucke, M., O'Grady, C., Rubensson, J-E., Simpson, E. R., Squibb, R. J., Sathe, C., Ueda, K., Vacher, M., Walke, D. J., Zhaunerchyk, V., Coffee, R. N., and Marangos, J. P.
- Abstract
Free-electron lasers providing ultra-short high-brightness pulses of X-ray radiation have great potential for a wide impact on science, and are a critical element for unravelling the structural dynamics of matter. To fully harness this potential, we must accurately know the X-ray properties: intensity, spectrum and temporal profile. Owing to the inherent fluctuations in free-electron lasers, this mandates a full characterization of the properties for each and every pulse. While diagnostics of these properties exist, they are often invasive and many cannot operate at a high-repetition rate. Here, we present a technique for circumventing this limitation. Employing a machine learning strategy, we can accurately predict X-ray properties for every shot using only parameters that are easily recorded at high-repetition rate, by training a model on a small set of fully diagnosed pulses. This opens the door to fully realizing the promise of next-generation high-repetition rate X-ray lasers.
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- 2017
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23. A kinematic parameter estimator applied to a bi-directional vehicle
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Lucet, Eric and Micaelli, Alain
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This paper deals with the online estimation of the geometric and kinematic parameters of a wheeled mobile robot, with the objective of its precise navigation. To do this, the implementation of an algorithm for estimating these parameters is proposed. It is based on a quadratic criterion to be minimized, which is a function of the difference between the measured and estimated robot pose. The estimator inputs external measurements of robot positions and speeds and proprioceptive inertial and odometer measurements, and outputs an estimate of model parameters. Its expression does not depend on the position of the robot relative to the path to be followed and its possible tracking errors, nor on the speed of the tracking. The experimental implementation carried out on a real bi-directional container truck under realistic operating conditions has shown its performance.
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- 2020
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24. Screening Approaches for Targeting Ribonucleoprotein Complexes: A New Dimension for Drug Discovery
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D’Agostino, Vito Giuseppe, Sighel, Denise, Zucal, Chiara, Bonomo, Isabelle, Micaelli, Mariachiara, Lolli, Graziano, Provenzani, Alessandro, Quattrone, Alessandro, and Adami, Valentina
- Abstract
RNA-binding proteins (RBPs) are pleiotropic factors that control the processing and functional compartmentalization of transcripts by binding primarily to mRNA untranslated regions (UTRs). The competitive and/or cooperative interplay between RBPs and an array of coding and noncoding RNAs (ncRNAs) determines the posttranscriptional control of gene expression, influencing protein production. Recently, a variety of well-recognized and noncanonical RBP domains have been revealed by modern system-wide analyses, underlying an evolving classification of ribonucleoproteins (RNPs) and their importance in governing physiological RNA metabolism. The possibility of targeting selected RNA–protein interactions with small molecules is now expanding the concept of protein “druggability,” with new implications for medicinal chemistry and for a deeper characterization of the mechanism of action of bioactive compounds. Here, taking SF3B1, HuR, LIN28, and Musashi proteins as paradigmatic case studies, we review the strategies applied for targeting RBPs, with emphasis on the technological advancements to study protein–RNA interactions and on the requirements of appropriate validation strategies to parallel high-throughput screening (HTS) efforts.
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- 2019
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25. Décanulation chez les patients atteints d’un syndrome d’Ondine (SO)
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Ghelab, Zina, Bokov, Plamen, Teissier, Natacha, Micaelli, Delphine, Leroux, Karl, Patout, Maxime, Dauger, Stéphane, Delclaux, Christophe, and Dudoignon, Benjamin
- Abstract
Avant 2008, tous les enfants atteints du SO étaient systématiquement trachéotomisés. Depuis 2008, 46 % (23/50) des enfants ont été ventilés sur trachéotomie. Lorsqu’ils grandissent, les enfants peuvent bénéficier d’un passage à une ventilation non invasive (VNI). L’objectif de notre travail est de décrire la procédure de décanulation dans un centre expert, de définir les modalités et évaluer les échanges gazeux avant et après la décanulation.
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- 2023
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26. « Je me suis fabriqué mon cancer… »
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Micaelli, P., primary
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27. HuR modulation counteracts lipopolysaccharide response in murine macrophages
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Bonomo, Isabelle, Assoni, Giulia, La Pietra, Valeria, Canarutto, Giulia, Facen, Elisa, Donati, Greta, Zucal, Chiara, Genovese, Silvia, Micaelli, Mariachiara, Pérez-Ràfols, Anna, Robbiati, Sergio, Kontoyannis, Dimitris L., De Matteo, Marilenia, Fragai, Marco, Seneci, Pierfausto, Marinelli, Luciana, Arosio, Daniela, Piazza, Silvano, and Provenzani, Alessandro
- Abstract
Lipopolysaccharide (LPS) exposure to macrophages induces an inflammatory response, which is regulated at the transcriptional and post-transcriptional levels. HuR (ELAVL1) is an RNA-binding protein that regulates cytokines and chemokines transcripts containing AU/U-rich elements (AREs) and mediates the LPS-induced response. Here, we show that small-molecule tanshinone mimics (TMs) inhibiting HuR–RNA interaction counteract LPS stimulus in macrophages. TMs exist in solution in keto-enolic tautomerism, and molecular dynamic calculations showed the ortho-quinone form inhibiting binding of HuR to mRNA targets. TM activity was lost in vitro by blocking the diphenolic reduced form as a diacetate, but resulted in prodrug-like activity in vivo. RNA and ribonucleoprotein immunoprecipitation sequencing revealed that LPS induces a strong coupling between differentially expressed genes and HuR-bound genes, and TMs reduced such interactions. TMs decreased the association of HuR with genes involved in chemotaxis and immune response, including Cxcl10, Il1b and Cd40, reducing their expression and protein secretion in primary murine bone marrow-derived macrophages and in an LPS-induced peritonitis model. Overall, TMs show anti-inflammatory properties in vivo and suggest HuR as a potential therapeutic target for inflammation-related diseases.
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- 2023
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28. R&D en support à la sûreté du parc : les programmes de recherche de l’IRSN
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Micaelli, Jean-Claude, Gonzalez, Richard, Bonnet, Jean-Michel, Barré, François, Pichereau, Frédérique, Couturier, Jean, Micaelli, Jean-Claude, Gonzalez, Richard, Bonnet, Jean-Michel, Barré, François, Pichereau, Frédérique, and Couturier, Jean
- Abstract
Pour asseoir son expertise technique et scientifique dans le domaine de la sûreté des réacteurs, l’Institut de Radioprotection et de Sûreté nucléaire fait réaliser et réalise lui-même d’importants travaux de recherche. Les quatre principaux livrables de cette recherche sont : des connaissances nouvelles, des bases de données expérimentales, des chaînes de calcul maitrisées, des compétences.
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- 2010
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29. The wave variables, a solution for stable haptic feedback in molecular docking simulations.
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Sobh, Tarek, Elleithy, Khaled, Mahmood, Ausif, Karim, Mohammed, Daunay, B., Abbaci, A., Micaelli, A., and Regnier, S.
- Abstract
This paper presents a new method for a six degrees of freedom haptic feedback in molecular docking simulations in virtual reality. The proposed method allows haptic interaction even in the case of classical molecular simulation which implies notoriously long computation time. These simulations are based on the Newtonian mechanics theory and imply an energetic interaction description between atoms. To use wave variables with delayed simulations appears as a solution to provide stable and robust teleoperation. This method can then be used with any energetic force ?eld using a minimization process, thus avoiding the fastidious optimization of molecular simulation programs. [ABSTRACT FROM AUTHOR]
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- 2007
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30. Mise en place de consultations de suivi en réanimation pédiatrique : quelles modalités ?
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Mortamet, Guillaume, Birsan, Sandrine, Zini, Justine, Morin, Luc, Kolev, Karine, Pelluau, Sonia, Pouletty, Marie, Thiberghien, Denis, Beldjilali, Sophie, Brissaud, Olivier, Milési, Christophe, Brotelande, Camille, Dupont, Audrey, Giraud, Marion, Hassid, Sophie Ariane, Tsapis, Michael, Essid, Aben, Villemain, Clélia, De Sampaio, Sandrine, Troff, Sarah, Micaelli, Delphine, and Levy, Michael
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- 2023
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31. Modélisation de l'autovaporisation dans le cadre d'un modèle à deux fluides
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Maciaszek, T., Micaelli, J. C., Bestion, D., Maciaszek, T., Micaelli, J. C., and Bestion, D.
- Abstract
Pour les besoins de l'analyse de sûreté des réacteurs à eau pressurisée (REP), un code de thermohydraulique diphasique eau-vapeur nommé CATHARE a été élaboré. Il s'agit d'un modèle monodimensionnel à deux fluides comportant 6 équations, c'est-à-dire un bilan de masse, d'énergie et d'impulsion pour chaque phase. Le calcul des débits critiques à travers une brèche nécessite la modélisation de l'autovaporisation. Le flux de chaleur du liquide vers l'interface qui gouverne le phénomène est déterminé expérimentalement sur la base de mesures effectuées dans diverses tuyères. On présente tout d'abord une corrélation essentiellement empirique. Puis, l'analyse des mécanismes mis en jeu montrant la complexité du problème (nucléation, effets de la turbulence, effets bidimensionnels), une discussion sur des modèles à caractère plus physique est engagée.
- Published
- 1988
- Full Text
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32. La thermohydraulique accidentelle : le programme Cathare-Bethsy
- Author
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Bernard, M., Champ, M., Deruaz, R., Micaelli, J.C., Porracchia, A., Barois, G., Gandrille, J.L., Vacher, J.L., Weber, O., Bernard, M., Champ, M., Deruaz, R., Micaelli, J.C., Porracchia, A., Barois, G., Gandrille, J.L., Vacher, J.L., and Weber, O.
- Published
- 1996
- Full Text
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33. Thermohydraulique diphasique pour Ariane : un exemple de diffusion technologique
- Author
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Micaelli, Jean-Claude, Spindler, Bertrand, Memponteil, Alain, Micaelli, Jean-Claude, Spindler, Bertrand, and Memponteil, Alain
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- 1995
- Full Text
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34. Dynamic digital human models for ergonomic analysis based on humanoid robotics techniques
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Magistris, Giovanni De, Micaelli, Alain, Savin, Jonathan, Gaudez, Clarisse, and Marsot, Jacques
- Abstract
Digital human models can be used for biomechanical risk factors assessment of a workstation and work activity design for which there is no physical equipment that can be tested using actual human postures and forces. Yet, using digital human model software packages is usually complex and time–consuming. A challenging aim therefore consists in developing an easy–to–use digital human model capable of computing dynamic, realistic movements and internal characteristics in quasi–real time, based on a simple description of future work tasks, in order to achieve reliable ergonomics assessments of various work task scenarios. We developed such a dynamic digital human model, which is automatically controlled in force and acceleration and inspired by human motor control and based on robotics and physics simulation. In our simulation framework, the digital human model motion was controlled by real–world Newtonian physical and mechanical laws. We also simulated and assessed experimental insert–fitting activities according to the occupational repetitive actions (OCRA) ergonomic index. Simulation led to satisfactory results: experimental and simulated ergonomics evaluations were consistent, and both joint torques and digital human model movements were realistic and coherent with human–like behaviours and performances.
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- 2015
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35. Simulating change propagation between product architecture and development organisation
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Bonjour, Eric, Harmel, Ghassen, Micaelli, Jean-Pierre, and Dulmet, Maryvonne
- Abstract
In order to limit the effects of technological change on product design, concepts such as product architecture and modularity have been introduced, in order to support complex product development. In engineering design, numerous works have studied this central issue but change propagation within product architecture has hardly been addressed. Concerning organisational issues, many researchers in the field of industrial engineering have paid careful attention to a new organisation design but hardly any to an incremental evolution of project organisation. Galbraith (1977) highlighted that product architecture and development organisation were strongly interrelated. However, few research works have studied this relationship, and the need for a coherent model of product and organisation co-evolution remains. This paper aims to present a matrix-based method that should help design managers to simulate change propagation between product architecture and development organisation. This method uses a 'management by uncertainty' approach and a mathematical model in order to propagate change. An industrial case study illustrates it in case of component changes.
- Published
- 2010
36. Propagating product architecture decisions onto the project organisation: a comparison between two methods
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Bonjour, Eric, Dulmet, Maryvonne, Deniaud, Samuel, and Micaelli, Jean-Pierre
- Abstract
Concepts like product architecture and modularity have been introduced in order to limit the effects of technological change on complex product design. Researchers have highlighted that product architectures and design organisations (projects, teams?) are strongly interrelated. However, little research has analysed this relationship. System architects and design managers need a method that helps them to simulate the mapping of the product architecture onto the project organisation by propagating choices and then assessing alternatives. In this paper, two propagation methods are presented and compared. The first one is based on a fuzzy process, which is proposed by the authors. The second one is based on a matrix approach. Both are applied to define new robotised gearbox architectures. A sensitivity analysis is conducted. It is concluded that in new product development situations or in reengineering projects, system architects could use these methods in the early design stages to forecast the more appropriate design project organisation.
- Published
- 2009
37. Force-feedback coupling for micro-handling applications
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Venture, Gentiane, Haliyo, D. Sinan, Micaelli, Alain, and Régnier, Stéphane
- Abstract
This paper presents a coupling method in order to establish force-feedback user interaction with a micromanipulator. The presented control scheme design is based on stability considerations and, hence, allows unconditional stable operation independently on the haptic interface, micromanipulator and scaling ratios on force and position. Experimental comparison of proposed coupling with a common force-position coupling is also included.
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- 2006
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38. Trajectory tracking for two-steering-wheels mobile robots
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Micaelli, A. and Samson, C.
- Abstract
Through two different approaches, this article proposes two general controllers for two- steering-wheels mobile robots. For both controllers, conditions for asymptotical convergence of the system toward a predefined path are established and simulation results are presented. Rather than writing the systems’ equations with respect to a fixed reference frame, the robot state is here parametrized relative to the followed path, in terms of distance and orientation.
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- 1994
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39. Hybrid Position/Force Control, Velocity Projection, and Passivity
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Joly, Luc and Micaelli, Alain
- Abstract
Hybrid position/force control is an approach to robot manipulator control to deal with tasks involving mechanical interaction between the robot and its environment. It consists in controlling simultaneously some position parameters, and some interaction force parameters. The main challenge associated with this approach is to guarantee the controlled system stability for any choice of the position- and force-controlled parameters. This is all the more difficult as the robot interacts dynamically with an environment whose dynamics are usually poorly known. In this paper, we propose solutions regarding the position control loop. They are based on passivity theory.
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- 1997
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40. Modeling flashing flows in a two fluid code
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Maciaszek, T., Micaelli, J., and Bestion, D.
- Abstract
CATHARE is a 2-phase thermohydraulic code elaborated for the Pressurized Water Reactor safety analysis. It is a 1-Dimension 2-Fluid 6-Equation model with a mass, momentum and energy balance for each phase. The calculation of the critical mass flow rate through a break in the primary circuit requires the modelization of the flashing process. The liquid-interface heat flux which governs the phenomenon is experimentally determined in various test nozzles. First an essentially empirical correlation is presented. Then a survey of the physical mechanisms involved in the flashing process demonstrate the complexity of the problem (nucleation delay, turbulence effects, 2-dimensionnal effects, ...). Modelizations based on physical investigations are also discussed.Pour les besoins de l'analyse de s?ret? des r?acteurs ? eau pressuris?e (REP), un code de thermohydraulique diphasique eau-vapeur nomm? CATHARE a ?t? ?labor?. Il s'agit d'un mod?le monodimensionnel ? deux fluides comportant 6 ?quations, c'est-?-dire un bilan de masse, d'?nergie et d'impulsion pour chaque phase. Le calcul des d?bits critiques ? travers une br?che n?cessite la mod?lisation de l'autovaporisation. Le flux de chaleur du liquide vers l'interface qui gouverne le ph?nom?ne est d?termin? exp?rimentalement sur la base de mesures effectu?es dans diverses tuy?res. On pr?sente tout d'abord une corr?lation essentiellement empirique. Puis, l'analyse des m?canismes mis en jeu montrant la complexit? du probl?me (nucl?ation, effets de la turbulence, effets bidimensionnels), une discussion sur des mod?les ? caract?re plus physique est engag?e.
- Published
- 1988
41. Identification of Compounds Targeting HuD: Another Brick in the Wall of Neurodegenerative Disease Treatment
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Ambrosio, Francesca Alessandra, Coricello, Adriana, Costa, Giosuè, Lupia, Antonio, Micaelli, Mariachiara, Marchesi, Nicoletta, Sala, Federico, Pascale, Alessia, Rossi, Daniela, Vasile, Francesca, Alcaro, Stefano, and Collina, Simona
- Abstract
ELAV-like (ELAVL) RNA-binding proteins play a pivotal role in post-transcriptional processes, and their dysregulation is involved in several pathologies. This work was focused on HuD (ELAVL4), which is specifically expressed in nervous tissues, and involved in differentiation and synaptic plasticity mechanisms. HuD represents a new, albeit unexplored, candidate target for the treatment of several relevant neurodegenerative diseases. The aim of this pioneering work was the identification of new molecules able to recognize and bind HuD, thus interfering with its activity. We combined virtual screening, molecular dynamics (MD), and STD-NMR techniques. Starting from around 51 000 compounds, four promising hits eventually provided experimental evidence of their ability to bind HuD. Among the selected best hits, folic acid was found to be the most interesting one, being able to well recognize the HuD binding site. Our results provide a basis for the identification of new HuD interfering compounds which may be useful against neurodegenerative syndromes.
- Published
- 2021
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42. Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
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Sanchez-Gonzalez, A., Micaelli, P., Olivier, C., Barillot, T. R., Ilchen, M., Lutman, A. A., Marinelli, A., Maxwell, T., Achner, A., Agåker, M., Berrah, N., Bostedt, C., Bozek, J. D., Buck, J., Bucksbaum, P. H., Montero, S. Carron, Cooper, B., Cryan, J. P., Dong, M., Feifel, R., Frasinski, L. J., Fukuzawa, H., Galler, A., Hartmann, G., Hartmann, N., Helml, W., Johnson, A. S., Knie, A., Lindahl, A. O., Liu, J., Motomura, K., Mucke, M., O’Grady, C., Rubensson, J-E, Simpson, E. R., Squibb, R. J., Såthe, C., Ueda, K., Vacher, M., Walke, D. J., Zhaunerchyk, V., Coffee, R. N., and Marangos, J. P.
- Subjects
3. Good health - Abstract
Nature Communications 8, 15461 (2017). doi:10.1038/ncomms15461, Free-electron lasers providing ultra-short high-brightness pulses of X-ray radiation have great potential for a wide impact on science, and are a critical element for unravelling the structural dynamics of matter. To fully harness this potential, we must accurately know the X-ray properties: intensity, spectrum and temporal profile. Owing to the inherent fluctuations in free-electron lasers, this mandates a full characterization of the properties for each and every pulse. While diagnostics of these properties exist, they are often invasive and many cannot operate at a high-repetition rate. Here, we present a technique for circumventing this limitation. Employing a machine learning strategy, we can accurately predict X-ray properties for every shot using only parameters that are easily recorded at high-repetition rate, by training a model on a small set of fully diagnosed pulses. This opens the door to fully realizing the promise of next-generation high-repetition rate X-ray lasers., Published by Nature Publishing Group, London
43. Meta-Learning in Neural Networks: A Survey.
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Hospedales T, Antoniou A, Micaelli P, and Storkey A
- Subjects
- Algorithms, Neural Networks, Computer
- Abstract
The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches to AI where tasks are solved from scratch using a fixed learning algorithm, meta-learning aims to improve the learning algorithm itself, given the experience of multiple learning episodes. This paradigm provides an opportunity to tackle many conventional challenges of deep learning, including data and computation bottlenecks, as well as generalization. This survey describes the contemporary meta-learning landscape. We first discuss definitions of meta-learning and position it with respect to related fields, such as transfer learning and hyperparameter optimization. We then propose a new taxonomy that provides a more comprehensive breakdown of the space of meta-learning methods today. We survey promising applications and successes of meta-learning such as few-shot learning and reinforcement learning. Finally, we discuss outstanding challenges and promising areas for future research.
- Published
- 2022
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44. [Cardiovascular effects linked to the use of chloroquine].
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Queyriaux B, Carlioz R, Perrier E, Micaelli P, Gressard A, Deroche J, Leduc PA, Quiniou G, and Burlaton JP
- Subjects
- Antimalarials pharmacology, Cardiovascular System drug effects, Chloroquine pharmacology, Humans, Antimalarials adverse effects, Cardiovascular Diseases chemically induced, Chloroquine adverse effects
- Abstract
The chloroquine is the mainly and most frequently drug used as antimalaric in the world, in spite of the extension of resistance phenomena. Besides, the chloroquine is also commonly indicated in rheumatology and dermatology as a chronic treatment of some connective tissue disease. The chloroquine has three main cardiovascular effect: membrane stabilizer, direct negative inotropic effect and direct arterial vasodilator. Thus, these cardiovascular iatrogenic effects of the chloroquine are important both through their potential frequency and seriousness. Personal clinical cases and medical review enables to identify the main effects, observed either with prophylactic, or curative, or even toxic dosages. The more often, there are some rhythm and conductance disorders, myocardiopathy, even sometimes vasoplegic shocks. A list of the commercial patent medicine including chloroquine enables to be aware, to prevent and to take into account the cardiovascular risks of a treatment newly set or carried on for long years.
- Published
- 2001
- Full Text
- View/download PDF
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