Publications

2018

• Analysis of the sacral plexus anatomy using diffusion tensor MRI based neurotractography, according to spinal dysraphism, sacral anomaly and type of anorectal malformation
  
  • Muller Cécile
  • Virzi Alessio
  • Marret Jean-Baptiste
  • Mille Eva
  • Cretolle C
  • Gori Pietro
  • Berteloot Laureline
  • Grevent David
  • Blanc Thomas
  • Boddaert Nathalie
  • Bloch Isabelle
  • Sarnacki Sabine
  , 2018.
• Reliability and entropy of delay PUFs: A theoretical analysis
  
  • Schaub Alexander
  • Danger Jean-Luc
  • Guilley Sylvain
  • Rioul Olivier
  , 2018. Silicon physically unclonable functions (PUF) are used in various applications requi ing robust authentication. The expected reliability of the PUF is crucial because the cryptographic key or identi
• On Hypothesis Testing Against Conditional Independence With Multiple Decision Centers
  
  • Salehkalaibar Sadaf
  • Wigger Michèle
  • Timo Roy
  IEEE Transactions on Communications, Institute of Electrical and Electronics Engineers, 2018, 66 (6), pp.2409-2420. A distributed binary hypothesis testing problem is studied with one observer and two decision centers. Achievable type-II error exponents are derived for testing against conditional independence when the observer communicates with the two decision centers over one common and two individual noise-free bit pipes and when it communicates with them over a noisy broadcast channel. The results are based on a coding and testing scheme that splits the observations into subblocks, so that transmitter and receivers can independently apply to each subblock either Gray-Wyner coordination coding with side-information or hybrid joint source-channel coding with side-information, followed by a Neyman-Pearson test over the subblocks at the receivers. This approach allows to avoid introducing further error exponents that one would expect from the receivers' decoding operations related to binning or the noisy transmission channel. The derived exponents are shown to be optimal in some special cases when communication is over noise-free links. The results reveal a tradeoff between the type-II error exponents at the two decision centers. Index Terms-Distributed hypothesis testing, broadcast channel , testing against conditional independence, Gray-Wyner network . (10.1109/tcomm.2018.2798659)
  DOI : 10.1109/tcomm.2018.2798659
• A simple yet effective network-assisted signal for enhanced DASH quality of experience
  
  • Rossi Dario
  • Samain Jacques
  • Carofiglio Giovanna
  • Tortelli Michele
  , 2018.
• 3D patient specific models from MRI segmentation and tractography to enhance surgery planning of pelvic tumors and malformations
  
  • Muller Cécile
  • Virzi Alessio
  • Marret Jean-Baptiste
  • Mille Eva
  • Berteloot Laureline
  • Gori Pietro
  • Blanc Thomas
  • Grevent David
  • Bargy F
  • Boddaert Nathalie
  • Bloch Isabelle
  • Sarnacki Sabine
  , 2018.
• Analysing moderators’ narratives on debates behind Wikipedia articles
  
  • Baker Michael
  • Detienne Françoise
  , 2018.
• Early Checking of SysML Models Applied to Protocols
  
  • de Saqui-Sannes Pierre
  • Vingerhoeds Rob
  • Apvrille Ludovic
  , 2018. The paper shares an experience in using SysML and the free, open-source software TTool for protocol modelling and communication architecture validation. A dialogue between a pilot and a control tower serves as running example to demonstrate the benefits of complementary model analysis techniques: simulation, model checking, and verification by abstraction. The proposed method may be adapted to other modelling languages and tools.
• Cross-layer optimization of data networks
  
  • Ware Cédric
  • Wigger Michèle
  • Ciblat Philippe
  • Lepers Catherine
  , 2018.
• Concomitant sorting of circulating tumor cell subpopulations in cancer patients’ blood samples through the multiplexed immunosensor combination design
  
  • Tran Phuong
  • Tendero Yohann
  • Goldwasser Francois
  • Ropert Stanislas
  • Coriat Romain
  International Biology Review, 2018, 2 (2), pp.1-15.
• Automatic Appreciation of Aesthetics in Photography: Where are we going?
  
  • Maître Henri
  , 2018. Under the impulse of machine learning techniques, digital aesthetics assessment received a renewed interest in recent years. In the last 3 years, deep neural networks outclassed hand-crafted feature methods based on image processing and classification. Since then, a handful of studies claim their capacity to separate nice images from the run of the mill production and exhibit scores of almost 80 % agreement with human experts. But what do these methods measure? Implicitly they are based on the "objectivist" tradition of aesthetics dating back to the Greek philosophers, and highly influential on the artistic field up to the 18th century. However, the "subjectivist" point of view, as pioneered by Locke and Burke gained in popularity in the 19th and 20th centuries. Rested on the psychoanalytic school, then by experimental psychology and social studies, and at last in recent days by neuro-biology (and the so called "neuro-aesthetic" trend), the "subjectivist" school gained in support in the scientific community, ... but not in the image-processing and artificial intelligence body! We will show how the history of "scientific beauty evaluation" since the early works of C. Henry (1885) and G. Birkhoff (1933) until DNN is indeed following an identical slope where only few attention is paid to the viewer when most of the literature on aesthetics tells us that other tracks may be more valuable.
• Controllable optical extreme events in the semiconductor laser output power
  
  • Grillot Frédéric
  • Schires Kevin
  , 2018.
• WebLinux: a scalable in-browser and client-side Linux and IDE
  
  • Sharrock Rémi
  • Angrave Lawrence
  • Hamonic Ella
  , 2018 (Article No. 45). “WebLinux” is a web app tool providing a standard Linux OS and an IDE in the browser, including a terminal, a code editor and a file browser. It provides a client-side and offline Linux OS environment based on a Javascript emulated processor. By avoiding the use of a Virtual Machine or any Linux server, Weblinux enables learners to directly start experimenting with the Linux OS without installing any software. The tool is entirely client-side which makes it extremely scalable and easy to deploy within a large community of online learners. (10.1145/3231644.3231703)
  DOI : 10.1145/3231644.3231703
• SWAPUGC: Software for Adaptive Playback of Geotagged UGC
  
  • Potetsianakis Emmanouil
  • Le Feuvre J.
  , 2018. Currently on the market there is a plethora of affordable dedicated cameras or smartphones, able to record video and timed geospatial data (device location and orientation). This timed metadata can be used to identify relevant (in time and space) recordings. However, there has not been a platform that allows to exploit this information in order to utilize the relevant recordings in an interactive consumption scenario. In this paper we present SWAPUGC, a browser-based platform for building applications that use the accompanying geospatial data to dynamically select the streams for watching an event (or any spatiotemporal reference point). The view selection can be performed either manually, or automatically by a predefined algorithm that switches to the most suitable stream according to the recording characteristics. SWAPUGC is a research tool to test such adaptation algorithms and it is provided as an open-source project, accompanied by an example demo application and references to a compatible dataset and recorder. In this paper, we explain and then demonstrate the capabilities of the platform by an example implementation and examine future prospects and extensions. (10.1145/3204949.3208142)
  DOI : 10.1145/3204949.3208142
• Model-based STFT phase recovery for audio source separation
  
  • Magron Paul
  • Badeau Roland
  • David Bertrand
  IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2018, 26. For audio source separation applications, it is common to estimate the magnitude of the short-time Fourier transform (STFT) of each source. In order to further synthesizing time-domain signals, it is necessary to recover the phase of the corresponding complex-valued STFT. Most authors in this field choose a Wiener-like filtering approach which boils down to using the phase of the original mixture. In this paper, a different standpoint is adopted. Many music events are partially composed of slowly varying sinusoids and the STFT phase increment over time of those frequency components takes a specific form. This allows phase recovery by an unwrapping technique once a short-term frequency estimate has been obtained. Herein, a novel iterative source separation procedure is proposed which builds upon these results. It consists in minimizing the mixing error by means of the auxiliary function method. This procedure is initialized by exploiting the unwrapping technique in order to generate estimates that benefit from a temporal continuity property. Experiments conducted on realistic music pieces show that, given accurate magnitude estimates, this procedure outperforms the state-of-the-art consistent Wiener filter.
• Dual Logic Concepts based on Mathematical Morphology in Stratified Institutions: Applications to Spatial Reasoning
  
  • Aiguier Marc
  • Bloch Isabelle
  , 2018.
• Stochastic Dosimetry Based on Low Rank Tensor Approximations for the Assessment of Children Exposure to WLAN Source
  
  • Chiaramello Emma
  • Parazzini Marta
  • Fiocchi Serena
  • Ravazzani Paolo
  • Wiart Joe
  IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, IEEE, 2018, 2 (2), pp.131-137. (10.1109/JERM.2018.2825018)
  DOI : 10.1109/JERM.2018.2825018
• Stochastic Surrogate Models of Deformable Antennas based on Vector Spherical Harmonics and Polynomial Chaos Expansions: Application to Textile Antennas
  
  • Du Jinxin
  • Roblin Christophe
  IEEE Transactions on Antennas and Propagation, Institute of Electrical and Electronics Engineers, 2018, 66 (7), pp.3610-3622. A methodology for modeling the Far Field (FF) radiated by antennas subject to random variabilities with surrogate models of high efficiency is presented herein. The FF is expanded onto Vector Spherical Harmonics, then the stochastic variability of their coefficients is quantitatively modeled with the Polynomial Chaos expansion. The accuracy of the surrogate model is guaranteed by a robust and efficient adaptive procedure; “extreme parsimony” of the model is achieved thanks to various “compression” techniques; moreover, the characterization of the antenna’s frequency behavior over a band of interest has been taken into account in the modeling for the first time. The methodology is applied to a practical wearable textile patch antenna designed to cover the 2.4 – 2.5 GHz band and which is subject to five geometric and material random parameters. Specifically, the “Weierstrass” curves crumpling effect is modeled for the first time. Comparison to the full-wave simulations shows that the derived surrogate model predicts the FF with good accuracy and with a speed up factor of 105. Such type of surrogate models could be beneficial not only for antenna design and optimization purpose, but also, e.g., for joint antenna-channel stochastic analyses. (10.1109/TAP.2018.2829820)
  DOI : 10.1109/TAP.2018.2829820
• Human Body Communication channel modeling for leadless cardiac pacemaker applications
  
  • Maldari Mirko
  • Amara Karima
  • Jabbour Chadi
  • Desgreys Patricia
  , 2018, pp.2. This work describes Human Body Communication channel modeling for intracardiac medical devices by means of Computed Electromagnetic Simulations based on Finite Element Method (FEM). First Results about HBC attenuation levels are discussed in the document. This kind of analysis is essential for defining specification of the transceiver architecture that will be designed and prototyped for future works.
• Student's t Source and Mixing Models for Multichannel Audio Source Separation
  
  • Leglaive Simon
  • Badeau Roland
  • Richard Gael
  IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2018, 26 (6), pp.1150-1164. This paper presents a Bayesian framework for under-determined audio source separation in multichannel reverberant mixtures. We model the source signals as Student's t latent random variables in a time-frequency domain. The specific structure of musical signals in this domain is exploited by means of a non-negative matrix factorization model. Conversely, we design the mixing model in the time domain. In addition to leading to an exact representation of the convolutive mixing process, this approach allows us to develop simple probabilistic priors for the mixing filters. Indeed, as those filters correspond to room responses they exhibit a simple characteristic structure in the time domain that can be used to guide their estimation. We also rely on the Student's t distribution for modeling the impulse response of the mixing filters. From this model, we develop a variational inference algorithm in order to perform source separation. The experimental evaluation demonstrates the potential of this approach for separating multichannel reverberant mixtures.
• Stability, instability and chaos of InAs/GaAs semiconductor quantum dot lasers emitting exclusively on single lasing states
  
  • Grillot Frédéric
  , 2018.
• FFT-Based Limited Subband Digital Predistortion Technique for Ultra Wideband 5G Systems
  
  • Pham Dang-Kièn Germain
  • Gagnon Ghyslain
  • Gagnon François
  • Kaddoum Georges
  • Jabbour Chadi
  • Desgreys Patricia
  , 2018, pp.10-13. (10.1109/NEWCAS.2018.8585582)
  DOI : 10.1109/NEWCAS.2018.8585582
• FlowMon-DPDK: Parsimonious Per-Flow Software Monitoring at Line Rate
  
  • Zhang Tianzhu
  • Linguaglossa Leonardo
  • Gallo Massimo
  • Giaccone Paolo
  • Rossi Dario
  , 2018.
• Peut-on mesurer la beauté d’une photo ?
  
  • Maître Henri
  , 2018. On fait le point sur l'état de l'art dans le domaine de la détermination automatique de la beauté d'une photographie
• Localization Data-Rate Trade-off in Small Cells and Service Differentiation for 5G Networks
  
  • Ghatak Gourab
  • Koirala Remun
  • de Domenico Antonio
  • Denis Benoît
  • Dardari Davide
  • Uguen Bernard
  , 2018, pp.1-5.
• Inherent limitations of hybrid transactional memory
  
  • Alistarh Dan
  • Kopinsky Justin
  • Kuznetsov Petr
  • Ravi Srivatsan
  • Shavit Nir
  Distributed Computing, Springer Verlag, 2018, 31 (3), pp.167-185. (10.1007/s00446-017-0305-3)
  DOI : 10.1007/s00446-017-0305-3