Publications

2018

• Mass volume curves and anomaly ranking
  
  • Clémençon Stéphan
  • Thomas Albert
  Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2018, 12 (2), pp.2806-2872. (10.1214/18-EJS1474)
  DOI : 10.1214/18-EJS1474
• Transcription of Spanish Historical Handwritten Documents with Deep Neural Networks
  
  • Granell Emilio
  • Chammas Edgard
  • Likforman-Sulem Laurence
  • Martínez-Hinarejos Carlos-D
  • Mokbel Chafic
  • Cirstea Bogdan
  Journal of Imaging, MDPI, 2018, 4 (1), pp.22.
• Attack Tree Construction and Its Application to the Connected Vehicle
  
  • Danger Jean-Luc
  • Karray Khaled
  • Guilley Sylvain
  • Abdelaziz Elaabid M.
  , 2018, pp.175-190. (10.1007/978-3-319-98935-8_9)
  DOI : 10.1007/978-3-319-98935-8_9
• Preliminary study of CEDBT and CESM performances using simulated analytical contrast uptakes
  
  • Sanchez de La Rosa Ruben
  • Carton A.-K.
  • Milioni de Carvalho P.
  • Li Z.
  • Muller S.
  • Bloch Isabelle
  , 2018, pp.792-795.
• Ubiquitous Artificial Intelligence and Dynamic Data Streams
  
  • Bifet Albert
  • Read Jesse
  , 2018, pp.1-6.
• Regional Control of Probabilistic Cellular Automata
  
  • Bagnoli Franco
  • Dridi Sara
  • El Yacoubi Samira
  • Rechtman Raul
  , 2018, 11115.
• OP VI–2 Organ-specific integrative exposure assessment for radio-frequency electromagnetic fields: general population exposure and dose contribution of various sources
  
  • van Wei Luuk
  • Liorni I
  • Capstick Myles
  • Thielens Arno
  • Aerts Sam
  • Joseph W.
  • Wiart Joe
  • Cardis Elisabeth
  • Vermeulen Roel
  Occupational & Environmental Medicine, 2018, 75 (1). <p>Background/aim The daily dose of radio-frequency electromagnetic fields (RF-EMF) received by the human body depends on source, use, and body characteristics. We developed a model capable of estimating total RF-EMF dose (J/kg) for 64 body tissues as well as the contribution of specific sources to total dose based on personal characteristics, source characteristics, and scenarios of use.</p> <p> </p> <p>Methods The Integrated Exposure Model (IEM) uses personal characteristics and scenarios of use to estimate daily RF-EMF dose from mobile phones, DECT phones, tablets, body area networks, laptops, on/near body devices, smartwatches, virtual reality headsets, WiFi routers, and far field sources. Specific absorption rates (SAR) in various tissues were calculated for each source using transfer algorithms based on source and body characteristics. These were then adjusted for scenarios of use. Lastly, the model calculated the integrative dose from all sources combined and the relative contribution of each source. To estimate population exposure levels, we used data from an online survey on use of mobile communication devices deployed in four countries (France, the Netherlands, Spain, Switzerland).</p> <p> </p> <p>Results The online survey resulted in a dataset of 1768 participants, with a mean age of 52 years. Preliminary results indicate an average whole body dose of 0.15 J/kg per day, and an average whole brain dose of 0.09 J/kg per day. Women tended to have slightly higher doses than men, particularly in the youngest age group, due to higher reported use of mobile phones for voice and data. Source specific contribution varied depending on tissue. For the brain, the highest contribution (32%) came from mobile phones. Phone, tablet, and WiFi use together account for 91% of total brain dose. For the whole body: phone data use, WiFi, tablet, and laptop use accounted for 97% of the average total dose in our population.</p> <p> </p> <p>Conclusion We developed a model capable of estimating integrative RF-EMF dose from both current and novel devices. Using survey data on device use we were able to estimate average whole brain (0.09 J/kg) and average whole body (0.15 J/kg) dose. Device output powers in various scenarios of use were found to strongly influence model results.</p>
• BGP Extended Communities LCAF Type
  
  • Saucez Damien
  • Iannone Luigi
  , 2018.
• Algorithms for concurrent systems
  
  • Kuznetsov Petr
  • Guerraoui Rachid
  , 2018.
• Large-signal capabilities of an optically injection-locked semiconductor laser using gain lever
  
  • Sarraute Jean-Maxime
  • Schires Kevin
  • Larochelle Sophie
  • Grillot Frédéric
  , 2018.
• The relation between MOS and pairwise comparisons and the importance of cross-content comparisons
  
  • Zerman Emin
  • Hulusic Vedad
  • Valenzise Giuseppe
  • Mantiuk Rafał
  • Dufaux Frédéric
  , 2018, 30 (14), pp.1-6. Subjective quality assessment is considered a reliable method for quality assessment of distorted stimuli for several mul-timedia applications. The experimental methods can be broadly categorized into those that rate and rank stimuli. Although ranking directly provides an order of stimuli rather than a continuous measure of quality, the experimental data can be converted using scaling methods into an interval scale, similar to that provided by rating methods. In this paper, we compare the results collected in a rating (mean opinion scores) experiment to the scaled results of a pairwise comparison experiment, the most common ranking method. We find a strong linear relationship between results of both methods, which, however, differs between content. To improve the relationship and unify the scale, we extend the experiment to include cross-content comparisons. We find that the cross-content comparisons reduce the confidence intervals for pairwise comparison results, but also improve the relationship with mean opinion scores. (10.2352/ISSN.2470-1173.2018.14.HVEI-517)
  DOI : 10.2352/ISSN.2470-1173.2018.14.HVEI-517
• Computing Contrast on Conceptual Spaces
  
  • Sileno Giovanni
  • Bloch Isabelle
  • Atif Jamal
  • Dessalles Jean-Louis
  , 2018, pp.11-25.
• Far-from-Equilibrium Route to Superthermal Light in Bimodal Nanolasers
  
  • Marconi Mathias
  • Javaloyes Julien
  • Hamel Philippe
  • Raineri Fabrice
  • Levenson Ariel
  • Yacomotti Alejandro M.
  Physical Review X, American Physical Society, 2018, 8 (1). (10.1103/PhysRevX.8.011013)
  DOI : 10.1103/PhysRevX.8.011013
• Ultrafast and nonlinear dynamics of InAs/GaAs semiconductor quantum dot lasers
  
  • Grillot Frédéric
  • Arsenijevic Dejan
  • Huang Heming
  • Bimberg Dieter
  , 2018.
• Practical Random Linear Coding for MultiPath TCP: MPC-TCP
  
  • Paul-Louis Ageneau
  • Boukhatem Nadia
  • Gerla Mario
  , 2018. MPTCP is a TCP extension that enables transparent multipath for multihomed hosts. However, MPTCP is subject to head-of-line blocking, a problem that degrades delay and throughput. This problem is especially critical when used in wireless environments. On wireless, unreliable links, for example, traffic can get stalled on one path, slowing down the entire flow. A related problem is rescheduling the packets in other subflows too early, which could result in increased overhead. Random linear network coding is a potential approach to solve this problem among others, and we choose to focus in its practical capability to attenuate performance drops caused by blocking while guaranteeing full network compatibility. We have developed a version of MPTCP with network coding, MPC-TCP (MultiPath Coded TCP) and implemented it in the Linux kernel. This scheme offers a simple, practical implementation of network coding across subflows, requires minimal changes to MPTCP and preserves the TCP subflows compatibility with middleboxes. We then use our implementation to investigate the network scenarios where efficiency gains are the highest compared to vanilla MPTCP.
• High-speed per-flow software monitoring with limited resources
  
  • Zhang Tianzhu
  • Linguaglossa Leonardo
  • Gallo Massimo
  • Giaccone Paolo
  • Rossi Dario
  , 2018.
• Lecture on Continuous-Variable Quantum Key Distribution
  
  • Alleaume Romain
  , 2018.
• Semiconductor quantum dot lasers epitaxially grown on silicon with low linewidth enhancement factor
  
  • Duan J.
  • Huang H.
  • Jung D.
  • Zhang Z.
  • Norman J.
  • Bowers J. E.
  • Grillot F.
  Applied Physics Letters, American Institute of Physics, 2018, 112 (25), pp.251111. This work reports on the ultra-low linewidth enhancement factor (αH-factor) of semiconductor quantum dot lasers epitaxially grown on silicon. Owing to the low density of threading dislocations and resultant high gain, an αH value of 0.13 that is rather independent of the temperature range (288 K–308 K) is measured. Above the laser threshold, the linewidth enhancement factor does not increase extensively with the bias current which is very promising for the realization of future integrated circuits including high performance laser sources. (10.1063/1.5025879)
  DOI : 10.1063/1.5025879
• Nonnegative Matrix Factorization
  
  • Badeau Roland
  • Virtanen Tuomas
  , 2018, pp.131-160.
• Remembered events are unexpected (Commentary on Mahr \& Csibra: Why do we remember? The communicative function of episodic memory)
  
  • Dessalles Jean-Louis
  Behavioral and Brain Sciences, Cambridge University Press (CUP), 2018, 41, pp.22. We remember a small proportion of our experiences as events. Are these events selected because they are useful and can be proven true, or rather because they are unexpected? (10.1017/S0140525X17001315)
  DOI : 10.1017/S0140525X17001315
• Bubbles of Trust: a decentralized Blockchain-based authentication system for IoT
  
  • Hammi Mohamed T.
  • Hammi Badis
  • Bellot Patrick
  • Serhrouchni Ahmed
  Computers & Security, Elsevier, 2018, pp.15. Internet of Things becomes a major part of our lives, billions of autonomous devices are connected and communicate with each other. This revolutionary paradigm creates a new dimension that removes the boundaries between the real and the virtual worlds. The Wireless Sensor Networks are a masterpiece of the success of this technology, using limited capacity sensors and actuators, industrial, medical, agricultural and many other environments can be covered and managed automatically. This autonomous interacting things should authenticate each other, and communicate securely. Otherwise malicious users can cause serious damages on such systems. In this paper we propose a robust, transparent, flexible and energy efficient blockchain-based authentication mechanism called BCTrust, which is designed especially for devices with computational, storage and energy consumption constraints. In order to evaluate our approach, we realized a real implementation with C programming language, and Ethereum Blockchain.
• A Safe Communication Protocol for IoT Devices
  
  • Hammi Mohamed T.
  • Livolant Erwan
  • Bellot Patrick
  • Minet Pascale
  • Serhrouchni Ahmed
  Annals of Telecommunications - annales des télécommunications, Springer, 2018, pp.15. The Internet of Things (IoT) has overturned the information technology world. This new phenomenon is becoming inescapable and already covers almost all fields, from watchmaking to automated factories. IoT simplifies our everyday life and creates value for people and businesses. Things, also called entities, are very heterogeneous, use different communication technologies and, generally, are limited capacity devices. Therefore securing such systems raises many challenges. Communicating entities should authenticate each other and protect the integrity and the confidentiality of the data they exchange while using lightweight, fast and energy-efficient algorithms. In this paper, we propose a robust security protocol, designed especially for constrained IoT devices. We carried out a real implementation and the obtained results prove the efficiency of our protocol.
• Behaviour Driven Development for Hardware Design
  
  • Diepenbeck Melanie
  • Kühne Ulrich
  • Soeken Mathias
  • Grosse Daniel
  • Drechsler Rolf
  IPSJ Transactions on System LSI Design Methodology, 2018, 11, pp.29-45. (10.2197/ipsjtsldm.11.29)
  DOI : 10.2197/ipsjtsldm.11.29
• «Informathique»
  
  • Zayana Karim
  • Croix Edwige
  Au fil des maths, APMEP, 2018. Essai sur la didactique de l'informatique, en lien avec les mathématiques
• Segmentation of pelvic vessels in pediatric MRI using a patch-based deep learning approach
  
  • Virzi Alessio
  • Gori Pietro
  • Muller Cécile
  • Mille Eva
  • Peyrot Quoc
  • Berteloot Laureline
  • Boddaert Nathalie
  • Sarnacki Sabine
  • Bloch Isabelle
  , 2018, LNCS 11076, pp.97-106. In this paper, we propose a patch-based deep learning ap- proach to segment pelvic vessels in 3D MRI images of pediatric patients. For a given T2 weighted MRI volume, a set of 2D axial patches are extracted using a limited number of user-selected landmarks. In order to take into account the volumetric information, successive 2D axial patches are combined together, producing a set of pseudo RGB color images. These RGB images are then used as input for a convolutional neural network (CNN), pre-trained on the ImageNet dataset, which re- sults into both segmentation and vessel labeling as veins or arteries. The proposed method is evaluated on 35 MRI volumes of pediatric patients, obtaining an average segmentation accuracy in terms of Average Sym- metric Surface Distance of ASSD = 0.89 ± 0.07 mm and Dice Index of DC = 0.79 ± 0.02.