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21 results on '"Département Electronique et Physique (TSP - EPH)"'

1. Voice characteristics from isolated rapid eye movement sleep behavior disorder to early Parkinson's disease

Author: Laetitia Jeancolas, Graziella Mangone, Dijana Petrovska-Delacrétaz, Habib Benali, Badr-Eddine Benkelfat, Isabelle Arnulf, Jean-Christophe Corvol, Marie Vidailhet, Stéphane Lehéricy, Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris] (CENIR), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Paris (IP Paris), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), ARMEDIA (ARMEDIA-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre d'investigation clinique Neurosciences [CHU Pitié Salpêtrière] (CIC Neurosciences), Centre d'investigation clinique pluridisciplinaire [CHU Pitié Salpêtrière] (CIC-P 1421), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), PERFORM Centre, Electrical and Computer Engineering Department [Concordia] (ECE), Concordia University [Montreal], Traitement de l'Information Pour Images et Communications (TIPIC-SAMOVAR), Service de Pathologies du sommeil [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Service de Neuroradiologie [CHU Pitié-Salpêtrière], and BENKELFAT, Badr-Eddine
Subjects: Male, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Prodromal Symptoms, Parkinson Disease, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], REM Sleep Behavior Disorder, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Speech Disorders, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Neurology, Acoustic analysis, Parkinson’s disease, Supervised classification, Voice, Humans, Female, Neurology (clinical), Geriatrics and Gerontology, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Background: Speech disorders are amongst the first symptoms to appear in Parkinson's disease (PD). Objectives: We aimed to characterize PD voice signature from the prodromal stage (isolated rapid eye movement sleep behavior disorder, iRBD) to early PD using an automated acoustic analysis and compare male and female patients. We carried out supervised learning classifications to automatically detect patients using voice only. Methods: Speech samples were acquired in 256 French speakers (117 participants with early PD, 41 with iRBD, and 98 healthy controls), with a professional quality microphone, a computer microphone and their own telephone. High-level features related to prosody, phonation, speech fluency and rhythm abilities were extracted. Group analyses were performed to determine the most discriminant features, as well as the impact of sex, vocal tasks, and microphone type. These speech features were used as inputs of a support vector machine and were combined with classifiers using low-level features. Results: PD related impairments were found in prosody, pause durations and rhythmic abilities, from the prodromal stage. These alterations were more pronounced in men than in women. Early PD detection was achieved with a balanced accuracy of 89% in males and 70% in females. Participants with iRBD were detected with a balanced accuracy of 63% (reaching 70% in the subgroup with mild motor symptoms). Conclusion: This study provides new insight in the characterization of sex-dependent early PD speech impairments, and demonstrates the valuable benefit of including automated voice analysis in future diagnostic procedures of prodromal PD.
Published: 2022
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2. Treatment outcome prediction using multi-task learning: application to botulinum toxin in gait rehabilitation

Author: Adil Khan, Antoine Hazart, Omar Galarraga, Sonia Garcia-Salicetti, Vincent Vigneron, Informatique, BioInformatique, Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay, Institut Polytechnique de Paris (IP Paris), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), ARMEDIA (ARMEDIA-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), and Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)
Subjects: Cerebral Palsy, Deep learning, Biochemistry, Atomic and Molecular Physics, and Optics, Analytical Chemistry, Clinical gait analysis, Treatment Outcome, multi-task learning, clinical gait analysis, gait rehabilitation, deep learning, long short-term memory, botulinum toxin, Neuromuscular Agents, Muscle Spasticity, Botulinum toxin, Multi-task learning, Long short-term memory, Humans, Electrical and Electronic Engineering, Botulinum Toxins, Type A, Instrumentation, Gait, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Gait rehabilitation
Abstract: We propose a framework for optimizing personalized treatment outcomes for patients with neurological diseases. A typical consequence of such diseases is gait disorders, partially explained by command and muscle tone problems associated with spasticity. Intramuscular injection of botulinum toxin type A is a common treatment for spasticity. According to the patient’s profile, offering the optimal treatment combined with the highest possible benefit-risk ratio is important. For the prediction of knee and ankle kinematics after botulinum toxin type A (BTX-A) treatment, we propose: (1) a regression strategy based on a multi-task architecture composed of LSTM models; (2) to introduce medical treatment data (MTD) for context modeling; and (3) a gating mechanism to model treatment interaction more efficiently. The proposed models were compared with and without metadata describing treatments and with serial models. Multi-task learning (MTL) achieved the lowest root-mean-squared error (RMSE) (5.60°) for traumatic brain injury (TBI) patients on knee trajectories and the lowest RMSE (3.77°) for cerebral palsy (CP) patients on ankle trajectories, with only a difference of 5.60° between actual and predicted. Overall, the best RMSE ranged from 5.24° to 6.24° for the MTL models. To the best of our knowledge, this is the first time that MTL has been used for post-treatment gait trajectory prediction. The MTL models outperformed the serial models, particularly when introducing treatment metadata. The gating mechanism is efficient in modeling treatment interaction and improving trajectory prediction.
Published: 2022
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3. X-Vectors: new quantitative biomarkers for early Parkinson's disease detection from speech

Author: Laetitia Jeancolas, Dijana Petrovska-Delacrétaz, Graziella Mangone, Badr-Eddine Benkelfat, Jean-Christophe Corvol, Marie Vidailhet, Stéphane Lehéricy, Habib Benali, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Paris (IP Paris), Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), ARMEDIA (ARMEDIA-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Service de Neuroradiologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Traitement de l'Information Pour Images et Communications (TIPIC-SAMOVAR), Concordia University [Montreal], Jeancolas, Laetitia, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Département Electronique et Physique (TSP - EPH)
Subjects: FOS: Computer and information sciences, Sound (cs.SD), Computer science, Speech recognition, Parkinson's disease, 02 engineering and technology, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Quantitative Biology - Quantitative Methods, Computer Science - Sound, Voice analysis, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Audio and Speech Processing (eess.AS), Deep neural networks, Quantitative Methods (q-bio.QM), Original Research, Artificial neural network, Early detection, Speaker recognition, [INFO.INFO-SD] Computer Science [cs]/Sound [cs.SD], Computer Science Applications, MFCC, [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD], [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Mel-frequency cepstrum, Electrical Engineering and Systems Science - Audio and Speech Processing, X-vectors, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Microphone, 0206 medical engineering, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Biomedical Engineering, Neuroscience (miscellaneous), Context (language use), lcsh:RC321-571, 03 medical and health sciences, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Classifier (linguistics), FOS: Electrical engineering, electronic engineering, information engineering, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Telediagnosis, Telephone network, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 020601 biomedical engineering, ComputingMethodologies_PATTERNRECOGNITION, FOS: Biological sciences, Automatic detection, 030217 neurology & neurosurgery, Neuroscience
Abstract: Many articles have used voice analysis to detect Parkinson's disease (PD), but few have focused on the early stages of the disease and the gender effect. In this article, we have adapted the latest speaker recognition system, called x-vectors, in order to detect an early stage of PD from voice analysis. X-vectors are embeddings extracted from a deep neural network, which provide robust speaker representations and improve speaker recognition when large amounts of training data are used. Our goal was to assess whether, in the context of early PD detection, this technique would outperform the more standard classifier MFCC-GMM (Mel-Frequency Cepstral Coefficients - Gaussian Mixture Model) and, if so, under which conditions. We recorded 221 French speakers (including recently diagnosed PD subjects and healthy controls) with a high-quality microphone and with their own telephone. Men and women were analyzed separately in order to have more precise models and to assess a possible gender effect. Several experimental and methodological aspects were tested in order to analyze their impacts on classification performance. We assessed the impact of audio segment duration, data augmentation, type of dataset used for the neural network training, kind of speech tasks, and back-end analyses. X-vectors technique provided better classification performances than MFCC-GMM for text-independent tasks, and seemed to be particularly suited for the early detection of PD in women (7 to 15% improvement). This result was observed for both recording types (high-quality microphone and telephone)., Submitted
Published: 2021
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4. Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms

Author: Bernadette Dorizzi, Fernando Alonso-Fernandez, L. Allano, Albert Ali Salah, Tobias Scheidat, Norman Poh, Javier Ortega-Garcia, Donald E. Maurer, Julian Fierrez, John P. Baker, O. Fatukasi, Harald Ganster, Thirimachos Bourlai, Josef Kittler, Claus Vielhauer, Onkar Ambekar, UAM. Departamento de Ingeniería Informática, Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002), Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey (UNIS), Lane Department of Computer Science and Electrical Engineering [Virginia] (LCSEE), West Virginia University [Morgantown], Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Biometric Recognition Group (Universidad Autonoma de Madrid) (ATVS), Centrum Wiskunde & Informatica (CWI), Johns Hopkins University Applied Physics Laboratory [Laurel, MD] (APL), Institute of Digital Image Processing (Joanneum Research) (DIP), Intelligent Systems Lab Amsterdam - Intelligent Sensory Information Systems (University of Amsterdam) (ISLA-ISIS), Department of Informatics and Media (University of Applied Sciences Brandenburg), Institut für Technische und Betriebliche Informationssysteme (Otto-von-Guericke-Universität Magdeburg) (ITI), Signals and Images, and Département Electronique et Physique (TSP - EPH)
Subjects: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Biometrics, Computer Networks and Communications, Computer science, Computer Vision and Pattern Recognition (cs.CV), Data_MISCELLANEOUS, Computer Science - Computer Vision and Pattern Recognition, Access control, Signalbehandling, 02 engineering and technology, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], Software, Cost-sensitive fusion, 0202 electrical engineering, electronic engineering, information engineering, Biometric database, Safety, Risk, Reliability and Quality, Quality-based fusion, Informática, Authentication, business.industry, Fingerprint (computing), Multimodal biometric authentication, 020206 networking & telecommunications, Benchmarking, Security controls, Signal Processing, Benchmark (computing), 020201 artificial intelligence & image processing, business, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Cryptography and Security (cs.CR)
Abstract: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works., Automatically verifying the identity of a person by means of biometrics (e.g., face and fingerprint) is an important application in our day-to-day activities such as accessing banking services and security control in airports. To increase the system reliability, several biometric devices are often used. Such a combined system is known as a multimodal biometric system. This paper reports a benchmarking study carried out within the framework of the BioSecure DS2 (Access Control) evaluation campaign organized by the University of Surrey, involving face, fingerprint, and iris biometrics for person authentication, targeting the application of physical access control in a medium-size establishment with some 500 persons. While multimodal biometrics is a well-investigated subject in the literature, there exists no benchmark for a fusion algorithm comparison. Working towards this goal, we designed two sets of experiments: quality-dependent and cost-sensitive evaluation. The quality-dependent evaluation aims at assessing how well fusion algorithms can perform under changing quality of raw biometric images principally due to change of devices. The cost-sensitive evaluation, on the other hand, investigates how well a fusion algorithm can perform given restricted computation and in the presence of software and hardware failures, resulting in errors such as failure-to-acquire and failure-to-match. Since multiple capturing devices are available, a fusion algorithm should be able to handle this nonideal but nevertheless realistic scenario. In both evaluations, each fusion algorithm is provided with scores from each biometric comparison subsystem as well as the quality measures of both the template and the query data. The response to the call of the evaluation campaign proved very encouraging, with the submission of 22 fusion systems. To the best of our knowledge, this campaign is the first attempt to benchmark quality-based multimodal fusion algorithms. In the presence of changing - - image quality which may be due to a change of acquisition devices and/or device capturing configurations, we observe that the top performing fusion algorithms are those that exploit automatically derived quality measurements. Our evaluation also suggests that while using all the available biometric sensors can definitely increase the fusion performance, this comes at the expense of increased cost in terms of acquisition time, computation time, the physical cost of hardware, and its maintenance cost. As demonstrated in our experiments, a promising solution which minimizes the composite cost is sequential fusion, where a fusion algorithm sequentially uses match scores until a desired confidence is reached, or until all the match scores are exhausted, before outputting the final combined score., This evaluation was made possible thanks to the EU funding from the following projects: BioSecure (www.biosecure.info) and Mobio (www.mobioproject.org). The participating teams are supported by their respective national fund bodies: the Dutch BSIK/BRICKS project and the Spanish project TEC2006-13141-C03-03.
Published: 2021
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5. Experimental observation of ultrasound fast and slow waves through three-dimensional printed trabecular bone phantoms

Author: Fabien Mézière, Renaud Boistel, Arnaud Derode, Petra Jusková, Laurent Malaquin, Marie Muller, Emmanuel Bossy, J. Woittequand, Institut Langevin - Ondes et Images (UMR7587) (IL), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Physico-Chimie-Curie (PCC), Centre National de la Recherche Scientifique (CNRS)-Institut Curie [Paris]-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC), Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Ecole Polytechnique Fédérale de Lausanne (EPFL), Institut International de Paléoprimatologie, Paléontologie Humaine : Evolution et Paléoenvironnement (IPHEP), Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Institut Langevin ondes et images, Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-ESPCI ParisTech-Centre National de la Recherche Scientifique (CNRS), Physique des ondes pour la médecine, Université Paris Diderot - Paris 7 (UPD7)-ESPCI ParisTech-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut Curie [Paris], Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Curie [Paris]-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (TSP - EPH), and Université de Poitiers-Centre National de la Recherche Scientifique (CNRS)
Subjects: medicine.medical_specialty, Materials science, Time Factors, Acoustics and Ultrasonics, [SDV.BID]Life Sciences [q-bio]/Biodiversity, 01 natural sciences, 030218 nuclear medicine & medical imaging, law.invention, 03 medical and health sciences, Motion, 0302 clinical medicine, Arts and Humanities (miscellaneous), law, 0103 physical sciences, Image Interpretation, Computer-Assisted, medicine, PHASE CONTRAST IMAGING, Animals, Medical physics, BONE MICROARCHITECTURE, Femur, Horses, [SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics, 010301 acoustics, Stereolithography, ComputingMilieux_MISCELLANEOUS, Ultrasonography, business.industry, Phantoms, Imaging, PHASE CONTRAST MICROTOMOGRAPHY, Ultrasound, Equipment Design, X-Ray Microtomography, Synchrotron, Trabecular bone, Ultrasonic Waves, FRELON CAMERA, Printing, Three-Dimensional, business, Epiphyses, Software, Synchrotrons, Biomedical engineering
Abstract: International audience; In this paper, ultrasound measurements of 1:1 scale three-dimensional (3D) printed trabecular bone phantoms are reported. The micro-structure of a trabecular horse bone sample was obtained via synchrotron x-ray microtomography, converted to a 3D binary data set, and successfully 3D-printed at scale 1:1. Ultrasound through-transmission experiments were also performed through a highly anisotropic version of this structure, obtained by elongating the digitized structure prior to 3D printing. As in real anisotropic trabecular bone, both the fast and slow waves were observed. This illustrates the potential of stereolithography and the relevance of such bone phantoms for the study of ultrasound propagation in bone.
Published: 2016
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6. Link Design and Legacy Amplifier Limitation in Flex-grid Optical Networks

Author: Nicolas Brochier, Bernard Cousin, Mohamad Kanj, Jean-Luc Auge, Djamel Amar, Esther Le Rouzic, Catherine Lepers, Orange Labs [Lannion], France Télécom, Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Electronique et Physique (TSP - EPH), Centre National de la Recherche Scientifique (CNRS), Advanced technologies for operated networks (ADOPNET), Université de Rennes (UR)-Télécom Bretagne-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR), Institut de Recherche Technologique b-com (IRT b-com), European Project: SASER, Département Electronique et Physique (EPH), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Télécom Bretagne-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), and Université de Rennes (UNIV-RENNES)
Subjects: lcsh:Applied optics. Photonics, Computer science, 02 engineering and technology, Optical switch, flex-grid, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 020210 optoelectronics & photonics, Optical Transport Network, 0202 electrical engineering, electronic engineering, information engineering, lcsh:QC350-467, Optical power limitation, Electrical and Electronic Engineering, Optical communications repeater, business.industry, Optical cross-connect, Amplifier, Electrical engineering, lcsh:TA1501-1820, Spectral efficiency, Optical performance monitoring, Atomic and Molecular Physics, and Optics, network dimensioning, Optical transistor, business, link design, lcsh:Optics. Light, Computer network
Abstract: International audience; Flex-grid technology is an effective mean to improve the spectral efficiency of optical communications. For a given amplifier spectral bandwidth, it gives rise to the increase of the number of optical channels as it reduces the channel spacing. Therefore, in order to reap full benefits from flex-grid saved spectrum, further amplification power is required with respect to conventional fixed grid. This is a strong limitation if the legacy amplifiers cannot meet this new requirement due to their optical power limits. In this work, we demonstrate that exploiting the link margins allows supporting this increase while maintaining in use legacy amplifiers.
Published: 2016
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7. On the Legacy Amplifier Limitation in Flexgrid Optical Networks

Author: Catherine Lepers, Bernard Cousin, Esther Le Rouzic, Nicolas Brochier, Jean-Luc Auge, Mohamad Kanj, Djamel Amar, Orange Labs R&D [Rennes], France Télécom, Institut de Recherche Technologique b-com (IRT b-com), Orange Labs [Lannion], Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Advanced Technolgy in Networking (ATNET), RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), SASER-SIEGFRIED project of CELTIC-Plus research program, Département Electronique et Physique (TSP - EPH), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Rennes (UR)
Subjects: Engineering, Flexgrid, business.industry, Amplifier, Optical cross-connect, Electrical engineering, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.3: Network Operations/C.2.3.0: Network management, Spectral bands, Link design, Optical performance monitoring, Optical Networks, computer.software_genre, Power (physics), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Grid computing, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.1: Network Architecture and Design/C.2.1.2: Circuit-switching networks, Electronic engineering, business, computer, Optical Amplifier Limitation
Abstract: International audience; Flexgrid technology is an interesting solution to improve network capacity. However, for a given spectral band, it gives rise to the increase of the number of channels, requiring more amplification power in respect with the conventional fixed grid technology. In this work, we demonstrate that re-engineering the link margins allows supporting this increase while keeping in use legacy amplifiers
Published: 2015
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8. Beyond 25 Gbit/s directly modulated, directly detected OFDM using channel flattening by a Fabry-Perot filter

Author: L. Anet-Neto, M. Gay, L. Bramerie, C. Peucheret, Y. Frignac, J.-C. Simon, M. Thual, M. Joindot, C. Levallois, C. Paranthoen, S. Joshi, N. Chimot, F. Lelarge, P. Chanclou, Fonctions Optiques pour les Technologies de l'informatiON (FOTON), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université européenne de Bretagne - European University of Brittany (UEB)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT)-Centre National de la Recherche Scientifique (CNRS)-Télécom Bretagne, Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Alcatel-Thalès III-V lab (III-V Lab), THALES-ALCATEL, Orange Labs [Lannion], France Télécom, ANR DIQDOT,ANR DIQDOT, Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Université européenne de Bretagne - European University of Brittany (UEB)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT)-Télécom Bretagne-Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (TSP - EPH), THALES [France]-ALCATEL, and ANR-11-INFR-0003,DIQDOT,Transmetteur à forte tolérance à la dispersion chromatique pour réseaux d'accès de prochaine génération(2011)
Subjects: Physics, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Orthogonal frequency-division multiplexing, business.industry, 020208 electrical & electronic engineering, Optical communication, 02 engineering and technology, Flattening, 020210 optoelectronics & photonics, Optics, Transmission (telecommunications), Filter (video), 0202 electrical engineering, electronic engineering, information engineering, Chirp, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, business, Phase modulation, Fabry–Pérot interferometer
Abstract: International audience; We experimentally demonstrate the joint use of OFDM and channel flattening effect provided by a Fabry-Perot filter to allow higher than 25 Gbit/s direct intensity modulated, directly detected transmission over up to 75 km SSMF.
Published: 2015
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9. Thermal-Signature-Based Sleep Analysis Sensor

Author: Andrea Pinna, Dan Istrate, Ali Seba, Toufik Guettari, Patrick Garda, Adrien Ugon, Biomécanique et Bioingénierie (BMBI), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Systèmes Electroniques (SYEL), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Recherche et d'Innovation Technologique (ESIGETEL) (LRIT), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), and Département Electronique et Physique (EPH)
Subjects: medicine.medical_specialty, Computer science, Computer Networks and Communications, media_common.quotation_subject, 0206 medical engineering, 02 engineering and technology, Polysomnography, Electromyography, Audiology, Electroencephalography, thermopile sensor, actimetry, thermal camera, data classification, tele-medicine, polysomnography, 03 medical and health sciences, Muscle tone, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, medicine, ComputingMilieux_MISCELLANEOUS, Simulation, media_common, Sleep Stages, lcsh:T58.5-58.64, medicine.diagnostic_test, Hypnogram, lcsh:Information technology, business.industry, Communication, biomedical_chemical_engineering, Electrooculography, 020601 biomedical engineering, Human-Computer Interaction, medicine.anatomical_structure, Sleep (system call), business, 030217 neurology & neurosurgery, Vigilance (psychology)
Abstract: This paper address the development of a new technic in the sleep analysis domain. Sleep is defined as a periodic physiological state during which vigilance is suspended and reactivity to external stimulations diminished. We sleep on average between six and nine hours per night and our sleep is composed of four to six cycles of about 90-minutes each. Each of these cycles is composed of a succession of several stages of sleep, more or less deep. The analysis of sleep is usually done using a polysomnography. This examination consists of recording, among other things, electrical cerebral activity by electroencephalography (EEG), ocular movements by electrooculography (EOG) and chin muscle tone by electromyography (EMG). The recording is done mostly in a hospital, more specifically in a service for monitoring the pathologies related to sleep. The readings are then interpreted manually by an expert to generate a hypnogram, a curve showing the succession of sleep stages during the night in 30-second epochs. The proposed method is based on the follow-up of the thermal signature that makes it possible to classify the activity into three classes: "awakening", "calm sleep" and "agitated sleep". The contribution of this non-invasive method is part of the screening of sleep disorders, to be validated by a more complete analysis of the sleep. The measure provided by this new system, based on temperature monitoring (patient and ambient), aims to be integrated into the tele-medicine platform developed within the framework of the Smart-EEG project by the SYEL - SYstèmes ELectroniques team. Analysis of the data collected during the first surveys carried out with this method showed a correlation between thermal signature and activity during sleep. The advantage of this method lies in its simplicity and the possibility of carrying out measurements of activity during sleep and without direct contact with the patient at home or hospitals.
Published: 2017
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10. The First ICB Competition on Iris Recognition

Author: Koichi Noda, Peihua Li, Nadia Othman, Valérian Némesin, Tieniu Tan, Man Zhang, Fernando Alonso-Fernandez, Jing Liu, Akanksha Joshi, Zhenan Sun, Wu Su, Edmundo Hoyle, Center for Research on Intelligent Perception and (Institute of Automation, Chinese Academy of Sciences), Department of Automation (University of Science and Technology of China), Zhuhai YiSheng Electronics Technology Co, LDT (.), Halmstad University, GSM (GSM), Institut FRESNEL (FRESNEL), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Nihon System Laboratory (.), Dalian University of Technology, Universidade Federal do Rio de Janeiro (UFRJ), Centre for Development of Advanced Computing (.), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), Département Electronique et Physique (EPH), and School of Information and Communication Engineering (Dalian University of Technology)
Subjects: Computer science, Speech recognition, Iris recognition, Signalbehandling, 02 engineering and technology, Variation (game tree), urologic and male genital diseases, 0202 electrical engineering, electronic engineering, information engineering, medicine, cardiovascular diseases, Iris (anatomy), Signal processing, business.industry, urogenital system, Rank (computer programming), fungi, 020206 networking & telecommunications, Pattern recognition, Image segmentation, female genital diseases and pregnancy complications, Identification (information), medicine.anatomical_structure, Signal Processing, 020201 artificial intelligence & image processing, Artificial intelligence, Noise (video), business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Iris recognition becomes an important technology in our society. Visual patterns of human iris provide rich texture information for personal identification. However, it is greatly challenging to match intra-class iris images with large variations in unconstrained environments because of noises, illumination variation, heterogeneity and so on. To track current state-of-the-art algorithms in iris recognition, we organized the first ICB Competition on Iris Recognition in 2013 (or ICIR2013 shortly). In this competition, 8 participants from 6 countries submitted 13 algorithms totally. All the algorithms were trained on a public database(e.g. CASIA-Iris-Thousand[3]) and evaluated on an unpublished database. The testing results in terms of False Non-match Rate (FNMR) when False Match Rate (FMR) is 0:0001 are taken to rank the submitted algorithms
Published: 2014
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11. Optical Power Control in GMPLS Control Plane

Author: Djamel Amar, Bernard Cousin, Julien Meuric, Mohamad Kanj, Esther Le Rouzic, Institut de Recherche Technologique b-com (IRT b-com), Orange Labs [Lannion], France Télécom, Advanced technologies for operated networks (ADOPNET), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Télécom Bretagne-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-IMT Atlantique (IMT Atlantique), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Télécom Bretagne-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Département Electronique et Physique (TSP - EPH)
Subjects: Multiwavelength optical networking, control plane, Engineering, Optical power budget, Computer Networks and Communications, Physics::Optics, 02 engineering and technology, Optical burst switching, 01 natural sciences, Passive optical network, RSVP-TE, 010309 optics, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 020210 optoelectronics & photonics, OSPF-TE, Optical Transport Network, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, ComputingMilieux_MISCELLANEOUS, Optical communications repeater, Optical amplifier, business.industry, Optical performance monitoring, Flex-Grid, Optical link design, GMPLS, Optical power control, business, Computer network
Abstract: The exponential traffic growth in optical networks has triggered the evolution from fixed-grid to flex-grid technology. This evolution allows better spectral efficiency and spectrum usage over current optical networks in order to facilitate huge dynamic traffic demands. The promise of flex-grid technology in terms of increasing the number of optical channels established over optical links, however, may not be sustainable because of the associated increase in optical amplification power. In this work, we detail a power control process that takes advantage of link optical power and channel optical signal-to-noise ratio (OSNR) margins to allow network operators to support this optical power increase while maintaining the use of legacy optical amplifiers. New generalized multiprotocol label switching (GMPLS) protocol extensions are proposed on which to integrate the optical power control process in the control plane. The performance of the process is evaluated in terms of the blocking ratio and network throughput over fixed-grid and flex-grid networks. Results show that controlling optical power benefits from the flex-grid technology in terms of spectrum and capacity gain and reduces optical connection blocking.
Published: 2016
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12. Neural Correlates of Learning in the Prefrontal Cortex of the Monkey: A Predictive Model

Author: Bernadette Dorizzi, Wolfram Schultz, Yves Burnod, Emmanuel Guigon, Action-Neuroimagerie-Modelisation (ANIM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Réseau National des Systèmes Complexes (RNSC), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CGE-CPU-Centre National de la Recherche Scientifique (CNRS), and Département Electronique et Physique (EPH)
Subjects: Time Factors, Computer science, Cognitive Neuroscience, Memorization, Task (project management), 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Animals, Learning, Prefrontal cortex, 030304 developmental biology, Motor Neurons, 0303 health sciences, Neural correlates of consciousness, Artificial neural network, Working memory, Macaca mulatta, Anticipation, Frontal Lobe, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neural Networks, Computer, Consumer neuroscience, Neuroscience, Mathematics, 030217 neurology & neurosurgery, Cognitive psychology
Abstract: International audience; The principles underlying the organization and operation of the prefrontal cortex have been addressed by neural network modeling. The involvement of the prefrontal cortex in the temporal organization of behavior can be defined by processing units that switch between two stable states of activity (bistable behavior) in response to synaptic inputs. Long-term representation of programs requiring short-term memory can result from activity-dependent modifications of the synaptic transmission controlling the bistable behavior. After learning, the sustained activity of a given neuron represents the selective memorization of a past event, the selective anticipation of a future event, and the predictability of reinforcement. A simulated neural network illustrates the abilities of the model (1) to learn, via a natural step-by-step training protocol, the paradigmatic task (delayed response) used for testing prefrontal neurons in primates, (2) to display the same categories of neuronal activities, and (3) to predict how they change during learning. In agreement with experimental data, two main types of activity contribute to the adaptive properties of the network. The first is transient activity time-locked to events of the task and its profile remains constant during successive training stages. The second is sustained activity that undergoes nonmonotonic changes with changes in reward contingency that occur during the transition between stages.
Published: 1995
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13. Modeling and characterization of a few-mode EDFA supporting four mode groups for mode division multiplexing

Author: Laurent Bigot, Antoine Le Rouge, Clemens Koebele, Yves Quiquempois, Marianne Bigot-Astruc, Pierre Sillard, Massimilliano Salsi, Guillaume Le Cocq, Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 (PhLAM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Electronique et Physique (EPH), Centre National de la Recherche Scientifique (CNRS), and Département Electronique et Physique (TSP - EPH)
Subjects: Mode scrambler, Optical fiber, chemistry.chemical_element, 02 engineering and technology, Polarization-division multiplexing, 01 natural sciences, law.invention, 010309 optics, Erbium, 020210 optoelectronics & photonics, Optics, law, Wavelength-division multiplexing, Oscillometry, 0103 physical sciences, Materials Testing, 0202 electrical engineering, electronic engineering, information engineering, Dispersion-shifted fiber, Scattering, Radiation, Optical Fibers, ComputingMilieux_MISCELLANEOUS, Physics, Mode volume, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Multi-mode optical fiber, Amplifiers, Electronic, business.industry, Lasers, Equipment Design, Atomic and Molecular Physics, and Optics, chemistry, Computer-Aided Design, business
Abstract: Numerical and experimental study of a Few-Mode (FM) Erbium Doped Fiber Amplifier (EDFA) suitable for mode division multiplexing (MDM) is reported. Based on numerical simulations, a Few-Mode Erbium Doped Fiber (FM-EDF) has been designed to amplify four mode groups and to equally amplify LP11 and LP21 mode groups with gains greater than 20 dB and with a differential modal gain of less than 1 dB. Experimental results confirmed the simulations with a good concordance. This modal gain equalization is obtained by tailoring the erbium spatial distribution in the fiber core with a ring-shaped profile.
Published: 2012
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14. Optical OCDMA enhanced by nonlinear optics

Author: Ware, Cédric, Cordette, Steevy, Lepers, Catherine, Fsaifes, Ihsan, Tonello, Alessandro, Couderc, Vincent, Douay, Marc, Finot, Christophe, Millot, Guy, Département COMELEC - Communications & Electronique, Laboratoire Traitement et Communication de l'Information ( LTCI ), Télécom ParisTech-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ) -Télécom ParisTech-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ), Département Electronique et Physique ( EPH ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), PHOTONIQUE, XLIM ( XLIM ), Université de Limoges ( UNILIM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Limoges ( UNILIM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 ( PhLAM ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), ANR-06-BLAN-0401,SUPERCODE,Supercontinuum généré par fibre optique à cristal photonique pour l'accès multiple à répartition par code ( 2006 ), Département Communications & Electronique (COMELEC), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure des Télécommunications (ENST), Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 (PhLAM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), ANR-06-BLAN-0401,SUPERCODE,Supercontinuum généré par fibre optique à cristal photonique pour l'accès multiple à répartition par code(2006), Finot, Christophe, Programme 'blanc' - Supercontinuum généré par fibre optique à cristal photonique pour l'accès multiple à répartition par code - - SUPERCODE2006 - ANR-06-BLAN-0401 - BLANC - VALID, Département Electronique et Physique (TSP - EPH), and Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB)
Subjects: [PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics], [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]
Abstract: International audience; Intended for the next generation of optical access networks, OCDMA is of great interest to meet the demand of increasing the number of users per access fiber, especially as spectral phase coding increases its performance in the optical domain. This, however, requires handling broad spectra and short pulses, which are best dealt with using opto-electronic or all-optical devices instead of slower electronics. Among others, we demonstrate spectral-phase-coded OCDMA using a fiber-based saturable absorber as thresholding in the receiver.
Published: 2010

15. Yielding and shear banding in soft glassy materials

Author: Daniel Bonn, Abdoulaye Fall, José Paredes, Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Universidad de Los Andes [Mérida, Venezuela] (ULA), Laboratoire de Physique Statistique de l'ENS (LPS), Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (EPH), Universidad de Los Andes [Venezuela] (ULA), Université Paris Diderot - Paris 7 (UPD7)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Soft Matter (WZI, IoP, FNWI), and Fall, Abdoulaye
Subjects: [PHYS]Physics [physics], Thixotropy, Materials science, Yield (engineering), General Physics and Astronomy, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, [PHYS] Physics [physics], [PHYS.COND.CM-SCM] Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft], Shear rate, Shear (geology), Critical resolved shear stress, 0103 physical sciences, Pseudoelasticity, Shear stress, Composite material, [PHYS.COND]Physics [physics]/Condensed Matter [cond-mat], 010306 general physics, 0210 nano-technology, [PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft], [PHYS.COND] Physics [physics]/Condensed Matter [cond-mat], ComputingMilieux_MISCELLANEOUS
Abstract: Yield stress fluids have proven difficult to characterize, and a reproducible determination of the yield stress is difficult. We study two types of yield stress fluids (YSF) in a single system: simple and thixotropic ones. This allows us to show that simple YSF are simply a special case of thixotropic ones, and to pinpoint the difference between static and dynamic yield stresses, one of the major problems in the field. The thixotropic systems show a strong time dependence of the viscosity due to the existence of an internal percolated structure that confers the yield stress to the material. Using loaded emulsions to control the thixotropy, we show that the transition to flow at the yield stress is discontinuous for thixotropic materials, and continuous for ideal ones. The discontinuity leads to a critical shear rate below which no steady flows can be observed, accounting for the ubiquitous shear banding observed in these materials.
Published: 2010
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16. An attempt to categorize yield stress fluid behaviour

Author: Vijayakumar Chikkadi, Peder Moller, Abdoulaye Fall, Daniel Bonn, Didi Derks, Laboratoire de Physique Statistique de l'ENS (LPS), Université Paris Diderot - Paris 7 (UPD7)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Laboratoire de Physique, École normale supérieure - Lyon (ENS Lyon)-Université de Lyon, Fall, Abdoulaye, Soft Matter (WZI, IoP, FNWI), Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (TSP - EPH), and École normale supérieure de Lyon (ENS de Lyon)-Université de Lyon
Subjects: [PHYS]Physics [physics], Thixotropy, Yield (engineering), General Mathematics, General Engineering, General Physics and Astronomy, 02 engineering and technology, Mechanics, 021001 nanoscience & nanotechnology, 01 natural sciences, [PHYS] Physics [physics], [PHYS.COND.CM-SCM] Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft], Shear (geology), Rheology, 0103 physical sciences, Shear stress, [PHYS.COND]Physics [physics]/Condensed Matter [cond-mat], 010306 general physics, 0210 nano-technology, [PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft], [PHYS.COND] Physics [physics]/Condensed Matter [cond-mat], ComputingMilieux_MISCELLANEOUS, Mathematics
Abstract: We propose a new view on yield stress materials. Dense suspensions and many other materials have a yield stress—they flow only if a large enough shear stress is exerted on them. There has been an ongoing debate in the literature on whether true yield stress fluids exist, and even whether the concept is useful. This is mainly due to the experimental difficulties in determining the yield stress. We show that most if not all of these difficulties disappear when a clear distinction is made between two types of yield stress fluids: thixotropic and simple ones. For the former, adequate experimental protocols need to be employed that take into account the time evolution of these materials: ageing and shear rejuvenation. This solves the problem of experimental determination of the yield stress. Also, we show that true yield stress materials indeed exist, and in addition, we account for shear banding that is generically observed in yield stress fluids.
Published: 2009

17. Environnement multimodal pour la télévigilance médicale à domicile EMUTEM

Author: Hamid Medjahed, Dan Istrate, Jérôme Boudy, Bernadette Dorizzi, François Steenkeste, Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Laboratoire de Recherche et d'Innovation Technologique (ESIGETEL) (LRIT), Télécom SudParis & Institut Mines-Télécom Business School, Médiathèque, and Département Electronique et Physique (TSP - EPH)
Subjects: Télévigilance médicale, Logique floue, Télémédecine, Fusion de donnée, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: National audience; La proportion de personnes âgées ne cesse d'augmenter dans l'ensemble des sociétés à travers le monde. Bien qu'âgées, ces personnes désirent garderleur indépendance, leur autonomie et leur mode de vie, ce qui constitue un grand fardeau pour notre société. Par conséquence, plusieurs projets et consortiums ont été fondés et élaborés par la l'agence nationale de la recherche (ANR) afin de répondre à cette problématique. Parmi eux, le projet QuoVADIs (Aide Distance à la Vie Quotidienne pour des personnes âgées atteintes de troubles cognitifs), dans lequel on propose une plateforme à plusieurs modalités nommée EMUTEM [1] composée de trois systèmes hétérogènes. Il s'agit précisément d'un ensemble de microphones placés convenablement dans la maison pour contrôler à distance l'environnement acoustique de la personne(Anason) [2], d'un dispositif portable qui mesure les signaux physiologiques et détecte la chute (RFpat) [2] et d'un ensemble de capteurs infrarouges (GARDIEN) [2] qui détectent la présence et la position de la personne. Afin de maximiser les performances de détection des situations de détresse par notre plateforme, la fusion de données entre les différentes modalités présentées précédemment a été naturellement étudiée et la logique floue a été jugée comme étant la plus appropriée pour constituer le module de décision de notre système de télévigilance multimodal. La logique floue représente un bon compromis entre la performance et l'intelligibilité en s'appuyant sur les notions d'imprécision et d'incertitude
Published: 2009

18. A multimodal platform for database recording and elderly people monitoring

Author: Hamid Medjahed, Imad Belfeki, Jerome Boudy, Bernadette Dorizzi, Dan Istrate, François Steenkeste, Jean-Louis Baldinger, Rodrigo Varejão Andreão, Vinícius Aversari Martins, Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Laboratoire Réseaux mobiles et systèmes embarqués (ESIGETEL) (RMSE), Departamento de Engenharia Elétrica [Vitoria] (Universidade Federal do Espirito Santo) (UFES ), Epidémiologie et Analyses en Santé Publique : risques, maladies chroniques et handicap (LEASP), Institut National de la Santé et de la Recherche Médicale (INSERM), Télécom SudParis & Institut Mines-Télécom Business School, Médiathèque, and Département Electronique et Physique (TSP - EPH)
Subjects: Computer science, Medical signal acquisition, media_common.quotation_subject, 0206 medical engineering, 02 engineering and technology, computer.software_genre, 01 natural sciences, 010104 statistics & probability, Originality, Synchronization (computer science), Elderly people, 0101 mathematics, Architecture, media_common, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Modalities, Multimedia, Point (typography), Healthcare, wearable sensors and systems, Telemedicine for patient at home, Smart house, 020601 biomedical engineering, computer, Biomedical multimodal database, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Acoustic signal processing
Abstract: International audience; This paper describes a new platform for monitoring elderly people living alone. An architecture is proposed that includes three subsystems, with various types of sensors for different sensing modalities incorporated into a smart house. The originality of this system is the combination and the synchronization of three different televigilance modalities for acquiring and recording data. The paper focuses on the acquisition step of the system, usage and point out possibilities for future work
Published: 2008
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19. Intelligent Human Computer Interaction : 9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, proceedings

Author: Achard, Catherine, Horain, Patrick, Malik Mallem, Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Université Pierre et Marie Curie - Paris 6 (UPMC), Institut des Systèmes Intelligents et de Robotique (ISIR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU), Lecture Notes in Computer Science, and Département Electronique et Physique (EPH)
Subjects: Signal processing, Artificial intelligence, HCI, User interfaces, [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Open access, Classification, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Databases, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Machine learning, [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], Brain computer interface, Computer networks
Abstract: International audience; The international conference on Intelligent Human Computer Interaction (IHCI) is a forum for the presentation of research results and technological advances at the crossroads of human-computer interaction, artificial intelligence, signal processing, and computer vision. Its brings together engineers and scientists from around the world focussing on theoretical, practical, and applicational aspects of the field

20. IRIM at TRECVID 2012: Semantic Indexing and Instance Search

Author: Nicolas Ballas, Benjamin Labbé, Aymen Shabou, Hervé Le Borgne, Philippe-Henri Gosselin, Miriam Redi, Bernard Merialdo, Hervé Jégou, Jonathan Delhumeau, Rémi Vieux, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Franck Thollard, Nadia Derbas, Georges Quénot, Hervé Bredin, Matthieu Cord, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandrea, Charles-Edmond Bichot, Liming Chen, Alexandre Benoit, Patrick Lambert, Tiberius Strat, Joseph Razik, Sébastien Paris, Hervé Glotin, Tran Ngoc Trung, Dijana Petrovska Delacretaz, Gérard Chollet, Andrei Stoian, Michel Crucianu, Quénot, Georges, Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Multimedia Indexation and Data Integration (MIDI), Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-CY Cergy Paris Université (CY)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA), Eurecom [Sophia Antipolis], Multimedia content-based indexing (TEXMEX), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Laboratoire d'informatique Fondamentale de Marseille - UMR 6166 (LIF), Université de la Méditerranée - Aix-Marseille 2-Université de Provence - Aix-Marseille 1-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique de Grenoble (LIG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Modélisation et Recherche d’Information Multimédia [Grenoble] (MRIM), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11), Machine Learning and Information Retrieval (MALIRE), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Extraction de Caractéristiques et Identification (imagine), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), CEDRIC. Données complexes, apprentissage et représentations (CEDRIC - VERTIGO), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), CNRS, RENATER, several Universities, other funding bodies (see https://www.grid5000.fr)., IRIM of the GDR-ISIS research network (CNRS), Grid'5000, Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique, Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Saclay (COmUE), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS), Département Electronique et Physique (TSP - EPH), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), and HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)
Subjects: [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
Abstract: International audience; The IRIM group is a consortium of French teams work- ing on Multimedia Indexing and Retrieval. This paper describes its participation to the TRECVID 2012 se- mantic indexing and instance search tasks. For the semantic indexing task, our approach uses a six-stages processing pipelines for computing scores for the likeli- hood of a video shot to contain a target concept. These scores are then used for producing a ranked list of im- ages or shots that are the most likely to contain the tar- get concept. The pipeline is composed of the following steps: descriptor extraction, descriptor optimization, classi cation, fusion of descriptor variants, higher-level fusion, and re-ranking. We evaluated a number of dif- ferent descriptors and tried di erent fusion strategies. The best IRIM run has a Mean Inferred Average Pre- cision of 0.2378, which ranked us 4th out of 16 partici- pants. For the instance search task, our approach uses two steps. First individual methods of participants are used to compute similrity between an example image of in- stance and keyframes of a video clip. Then a two-step fusion method is used to combine these individual re- sults and obtain a score for the likelihood of an instance to appear in a video clip. These scores are used to ob- tain a ranked list of clips the most likely to contain the queried instance. The best IRIM run has a MAP of 0.1192, which ranked us 29th on 79 fully automatic runs.

21. TCT-107 The DISCOVER Registry: 1 Year outcomes of a fully re-positionable and retrievable non-metallic transcatheter aortic valve in a real-world population

Author: Fernando Gatto, Thierry Lefèvre, Ulrich Hink, Martine Gilard, Karl-Heinz Kuck, Antonio Colombo, Christoph Naber, Federico De Marco, Jan Van der Heyden, Christian Butter, Didier Tchetche, Guus R. G. Brueren, Smita Scholtz, Peter den Heijer, Dimitar Divchev, Wolfgang Schillinger, Azeem Latib, Federico M. Asch, Hüseyin Ince, Joachim Schofer, Peter Frambach, Giuseppe Bruschi, Stephan Kische, Daniel R. Wagner, Hervé Le Breton, Georg Nickenig, Laboratory of Cardiovascular Research, Centre de Recherche Public de la Santé, Division of Cardiology, Hôpital Minicipal et Clinique D'Eich-Centre Hospitalier du Luxembourg (CHL), Optimisation des régulations physiologiques (ORPHY (EA 4324)), Université de Brest (UBO)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Département Electronique et Physique (EPH), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Jonchère, Laurent
Subjects: [SDV.IB] Life Sciences [q-bio]/Bioengineering, Aortic valve, medicine.medical_specialty, Transcatheter aortic, business.industry, 030204 cardiovascular system & hematology, Direct flow, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, Internal medicine, medicine, Cardiology, [SDV.IB]Life Sciences [q-bio]/Bioengineering, 030212 general & internal medicine, Radiology, Cardiology and Cardiovascular Medicine, business, ComputingMilieux_MISCELLANEOUS
Abstract: The Direct Flow Medical Trans-catheter Aortic Valve System has a non-metallic design with a pressurized support structure, which allows precise positioning, retrieval and full hemodynamic assessment of valve performance prior to permanent implantation. The DISCOVER registry is a European prospective
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21 results on '"Département Electronique et Physique (TSP - EPH)"'

1. Voice characteristics from isolated rapid eye movement sleep behavior disorder to early Parkinson's disease

2. Treatment outcome prediction using multi-task learning: application to botulinum toxin in gait rehabilitation

3. X-Vectors: new quantitative biomarkers for early Parkinson's disease detection from speech

4. Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms

5. Experimental observation of ultrasound fast and slow waves through three-dimensional printed trabecular bone phantoms

6. Link Design and Legacy Amplifier Limitation in Flex-grid Optical Networks

7. On the Legacy Amplifier Limitation in Flexgrid Optical Networks

8. Beyond 25 Gbit/s directly modulated, directly detected OFDM using channel flattening by a Fabry-Perot filter

9. Thermal-Signature-Based Sleep Analysis Sensor

10. The First ICB Competition on Iris Recognition

11. Optical Power Control in GMPLS Control Plane

12. Neural Correlates of Learning in the Prefrontal Cortex of the Monkey: A Predictive Model

13. Modeling and characterization of a few-mode EDFA supporting four mode groups for mode division multiplexing

14. Optical OCDMA enhanced by nonlinear optics

15. Yielding and shear banding in soft glassy materials

16. An attempt to categorize yield stress fluid behaviour

17. Environnement multimodal pour la télévigilance médicale à domicile EMUTEM

18. A multimodal platform for database recording and elderly people monitoring

19. Intelligent Human Computer Interaction : 9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, proceedings

20. IRIM at TRECVID 2012: Semantic Indexing and Instance Search

21. TCT-107 The DISCOVER Registry: 1 Year outcomes of a fully re-positionable and retrievable non-metallic transcatheter aortic valve in a real-world population

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