Publications

2018

A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings
- Henriet Simon
- Şimşekli Umut
- Fuentes Benoît
- Richard Gael
Energy and Buildings, Elsevier, 2018. In the recent years, there has been an increasing academic and industrial interest for analyzing the electrical consumption of commercial buildings. Whilst having similarities with the Non Intrusive Load Monitoring (NILM) tasks for residential buildings, the nature of the signals that are collected from large commercial buildings introduces additional difficulties to the NILM research causing existing NILM approaches to fail. On the other hand, the amount of publicly available datasets collected from commercial buildings is very limited, which makes the NILM research even more challenging for this type of large buildings. In this study, we aim at addressing these issues. We first present an extensive statistical analysis of both commercial and residential measurements from public and private datasets and show important differences. Secondly, we develop an algorithm for generating synthetic current waveforms. We then demonstrate using real measurement and quantitative metrics that both our device model and our simulations are realistic and can be used to evaluate NILM algorithms. Finally, to encourage research on commercial buildings we release a synthesized dataset.
The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities
- Xu Yongchao
- Morel Baptiste
- Dahdouh Sonia
- Puybareau Élodie
- Virzì Alessio
- Urien Hélène
- Géraud Thierry
- Adamsbaum Catherine
- Bloch Isabelle
Medical Image Analysis, Elsevier, 2018, 48, pp.75-94. Preterm birth is a multifactorial condition associated with increased morbidity and mortality. Diffuse excessive high signal intensity (DEHSI) has been recently described on T2-weighted MR sequences in this population and thought to be associated with neuropathologies. To date, no robust and reproducible method to assess the presence of white matter hyperintensities has been developed, perhaps explaining the current controversy over their prognostic value. The aim of this paper is to propose a new semi-automated framework to detect DEHSI on neonatal brain MR images having a particular pattern due to the physiological lack of complete myelination of the white matter. A novel method for semi-automatic segmentation of neonatal brain structures and DEHSI, based on mathematical morphology and on max-tree representations of the images is thus described. It is a mandatory first step to identify and clinically assess homogeneous cohorts of neonates for DEHSI and/or volume of any other segmented structures. Implemented in a user-friendly interface, the method makes it straightforward to select relevant markers of structures to be segmented, and if needed, apply eventually manual corrections. This method responds to the increasing need for providing medical experts with semi-automatic tools for image analysis, and overcomes the limitations of visual analysis alone, prone to subjectivity and variability. Experimental results demonstrate that the method is accurate, with excellent reproducibility and with very few manual corrections needed. Although the method was intended initially for images acquired at 1.5T, which corresponds to usual clinical practice, preliminary results on images acquired at 3T suggest that the proposed approach can be generalized. (10.1016/j.media.2018.05.003)
DOI : 10.1016/j.media.2018.05.003
Incidence of paradoxical reactions in patients treated with tocilizumab for rheumatoid arthritis: Data from the French registry REGATE
- Terreaux William
- Masson Claire
- Eschard Jean-Paul
- Bardin Thomas
- Constantin Arnaud
- Le Dantec Loïc
- Marcelli Christian
- Perdriger Aleth
- Scotto Di Fazano Claire
- Wendling Daniel
- Sibilia Jean
- Morel Jacques
- Salmon Jean
Joint Bone Spine, Elsevier Masson, 2018, 85 (1), pp.53-57. Objectives Assess the frequency of paradoxical reactions encountered in daily practice under tocilizumab, using the REGATE (Registry-RoActemra) registry. The secondary objectives were to determine the type of paradoxical reaction and the consequences of these reactions. Methods The REGATE registry is an independent prospective registry, promoted by the French Society of Rheumatology, consisting of patients treated with tocilizumab for rheumatoid arthritis. The paradoxical reaction was retained if it was a paradoxical precipitation of a condition for which tocilizumab was indicated, if tocilizumab was being used for an alternative indication, and if it appeared after at least one tocilizumab infusion. Results Among the 1491 patients included with at least one follow-up visit (3429 patient-years), a paradoxical reaction occurred in 9 patients (0.60% of patients; 2.62/1000 patient-years). These were 7 de novo pathologies (3 vasculitis, 3 uveitis, 1 lupus) and 2 exacerbations of pre-existing conditions (1 vasculitis, 1 lupus). Permanent discontinuation of tocilizumab was chosen for 5 patients. Conclusions In the REGATE registry, the occurrence of paradoxical reactions in patients treated with tocilizumab was rare. (10.1016/j.jbspin.2017.01.002)
DOI : 10.1016/j.jbspin.2017.01.002
Shannon et la théorie de l'information
- Rioul Olivier
, 2018. Analyse de la publication de C.E. Shannon, "A mathematical Theory of Communication", The Bell System Technical Journal, Vol. 27, pp. 379–423, 623-656, July, October, 1948 (55 pages) Dans ce texte fondateur de la théorie de l’information, Shannon définit la notion de communication, la fonde sur celle de probabilité, définit le terme bit comme mesure logarithmique de l’information, ainsi que la notion d’entropie informatique (par analogie avec celle de Boltzmann en physique statistique). Il définit aussi mathématiquement la capacité d’un canal de transmission : on peut transmettre l’information de façon fiable tant que le débit ne dépasse pas cette capacité – le bruit présent dans le canal ne limite pas la qualité de la communication, mais uniquement le débit de transmission.
Attribute‐based broadcast encryption scheme for lightweight devices
- Canard Sébastien
- Hieu Phan Duong
- Trinh Viet Cuong
IET Information Security, Institution of Engineering and Technology, 2018, 12 (1), pp.52-59. (10.1049/iet-ifs.2017.0157)
DOI : 10.1049/iet-ifs.2017.0157
Phase evolution of the direct detection noise figure of a nondegenerate fiber phase-sensitive amplifier
- Labidi Tarek
- Fsaifes Ihsan
- Xie Weilin
- Chatterjee Debanuj
- Goldfarb Fabienne
- Bretenaker Fabien
Optics Letters, Optical Society of America - OSA Publishing, 2018, 43 (18), pp.4546. We experimentally investigate the evolution of the direct detection noise figure of a nondegenerate phase-sensitive amplifier based on a nonlinear fiber, as a function of the relative phase between the signal, idler, and pump, all other parameters remaining fixed. The use of a fiber with a high stimulated Brillouin scattering threshold permits us to investigate the full range of phase-sensitive gain and noise figure without pump dithering. Good agreement is found with theory, both for signal only and combined signal and idler direct detections. (10.1364/OL.43.004546)
DOI : 10.1364/OL.43.004546
Uniformly Projected RCQD QAM: A Low-Complexity Signal Space Diversity Solution over Fading Channels With or Without Erasures
- Arbi Tarak
- Geller Benoit
- Yang Jianxiao
- Abdel Nour Charbel
- Rioul Olivier
IEEE Transactions on Broadcasting, Institute of Electrical and Electronics Engineers, 2018. —Rotated and cyclic Q-delayed (RCQD) M-QAM (Quadrature Amplitude Modulation) provides signal space diversity and thus improves system performance over fading channels. However, previously published RCQD solutions were designed without fully considering the high demodulation complexity which prohibits wider applications. In this paper, a complete solution is proposed to reduce complexity for both the modulator and the demodulator. This solution uses a series of rotation angles α =arctan(1/ √ M) which bring many interesting properties to the RCQD signals. A simplified sphere demapping algorithm is derived for fading channels with and without erasure events. In contrast to the sphere-decoder used for MIMO detection, the radius of the proposed sphere-demapper involves an exact amount of constellation points, thereby ensuring to perform the soft demapping operation successfully. Moreover, when either the in-phase (I) or the quadrature component (Q) is erased, the proposed demapping algorithm performs as well as the full-complexity Max-Log algorithm, with a reduced complexity. Compared to the solution currently used in DVB-T2, the proposed method reduces tremendously the computational complexity while still achieving similar performance over fading channels and even better performance over fading erasure channels. (10.1109/TBC.2018.2811618)
DOI : 10.1109/TBC.2018.2811618
Large-signal capabilities of an optically injection-locked semiconductor laser using gain lever
- Sarraute Jean-Maxime
- Schires Kevin
- Larochelle Sophie
- Grillot Frédéric
, 2018.
Ubiquitous Artificial Intelligence and Dynamic Data Streams
- Bifet Albert
- Read Jesse
, 2018, pp.1-6.
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.
Computing Contrast on Conceptual Spaces
- Sileno Giovanni
- Bloch Isabelle
- Atif Jamal
- Dessalles Jean-Louis
, 2018, pp.11-25.
Algorithms for concurrent systems
- Kuznetsov Petr
- Guerraoui Rachid
, 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
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). 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. 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). 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. 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.
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
BGP Extended Communities LCAF Type
- Saucez Damien
- Iannone Luigi
, 2018.
Regional Control of Probabilistic Cellular Automata
- Bagnoli Franco
- Dridi Sara
- El Yacoubi Samira
- Rechtman Raul
, 2018, 11115.
On the optimality and practicability of mutual information analysis in some scenarios
- de Chèrisey Èloi
- Guilley Sylvain
- Heuser Annelie
- Rioul Olivier
Cryptography and Communications - Discrete Structures, Boolean Functions and Sequences, Springer, 2018, 10 (1), pp.101-121. The best possible side-channel attack maximizes the success rate and would correspond to a maximum likelihood (ML) distinguisher if the leakage probabilities were totally known or accurately estimated in a profiling phase. When profiling is unavailable, however, it is not clear whether Mutual Information Analysis (MIA), Correlation Power Analysis (CPA), or Linear Regression Analysis (LRA) would be the most successful in a given scenario. In this paper, we show that MIA coincides with the maximum likelihood expression when leakage probabilities are replaced by online estimated probabilities. Moreover, we show that the calculation of MIA is lighter that the computation of the maximum likelihood. We then exhibit two case-studies where MIA outperforms CPA. One case is when the leakage model is known but the noise is not Gaussian. The second case is when the leakage model is partially unknown and the noise is Gaussian. In the latter scenario MIA is more efficient than LRA of any order. (10.1007/s12095-017-0241-x)
DOI : 10.1007/s12095-017-0241-x
Gaussian Priors for Image denoising
- Delon Julie
- Houdard Antoine
, 2018. This chapter is dedicated to the study of Gaussian priors for patch-based image denoising. In the last twelve years, patch priors have been widely used for image restoration. In a Bayesian framework, such priors on patches can be used for instance to estimate a clean patch from its noisy version, via classical estimators such as the conditional expectation or the maximum a posteriori. As we will recall, in the case of Gaussian white noise, simply assuming Gaussian (or Mixture of Gaussians) priors on patches leads to very simple closed-form expressions for some of these estimators. Nevertheless, the convenience of such models should not prevail over their relevance. For this reason, we also discuss how these models represent patches and what kind of information they encode. The end of the chapter focuses on the different ways in which these models can be learned on real data. This stage is particularly challenging because of the curse of dimensionality. Through these different questions, we compare and connect several denoising methods using this framework.
Prediction of weakly locally stationary processes by auto-regression
- Roueff François
- Sanchez-Perez Andres
ALEA : Latin American Journal of Probability and Mathematical Statistics, Instituto Nacional de Matemática Pura e Aplicada (Rio de Janeiro, Brasil) [2006-....], 2018, 15, pp.1215–1239. In this contribution we introduce weakly locally stationary time series through the local approximation of the non-stationary covariance structure by a stationary one. This allows us to define autoregression coefficients in a non-stationary context, which, in the particular case of a locally stationary Time Varying Autoregressive (TVAR) process, coincide with the generating coefficients. We provide and study an estimator of the time varying autoregression coefficients in a general setting. The proposed estimator of these coefficients enjoys an optimal minimax convergence rate under limited smoothness conditions. In a second step, using a bias reduction technique, we derive a minimax-rate estimator for arbitrarily smooth time-evolving coefficients, which outperforms the previous one for large data sets. In turn, for TVAR processes, the predictor derived from the estimator exhibits an optimal minimax prediction rate. (10.30757/ALEA.v15-45)
DOI : 10.30757/ALEA.v15-45
Adaptive random forests for data stream regression
- Gomes Heitor Murilo
- Barddal Jean Paul
- Ferreira Luis Eduardo Boiko
- Bifet Albert
, 2018.
Online Learning with Reoccurring Drifts: The Perspective of Case-Based Reasoning
- Al-Ghossein Marie
- Murena Pierre-Alexandre
- Cornuéjols Antoine
- Abdessalem Talel
, 2018.
Pas de probas, pas de chocolat !
- Zayana Karim
Au fil des maths, APMEP, 2018. Expériences aléatoires, lois discrètes et continues, approximation des unes par les autres, intervalles de confiance, fluctuations d’échantillonnage, tests statistiques, paradoxes probabilistes
Introduction to the issue on physics and applications of laser dynamics (IS-PALD 2017)
- Grillot F.
- Sciamanna Marc
- Chan S.-C.
Optics Express, Optical Society of America - OSA Publishing, 2018, 26 (16), pp.21375-21378. In this paper, we introduce the Optics Express feature issue of the 7th International Symposium on Physics and Applications of Laser Dynamics (IS-PALD). This issue consists of expanded papers related to oral and poster presentations. Selected papers represent the best of IS-PALD 2017. © 2018 Optical Society of America (10.1364/OE.26.021375)
DOI : 10.1364/OE.26.021375
A contrario comparison of local descriptors for change detection in Very High spatial Resolution (VHR) satellite images of urban areas
- Tupin Florence
- Liu Gang
- Gousseau Yann
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2018. Change detection is a key problem for many remote sensing applications. In this paper, we present a novel unsupervised method for change detection between two high resolution remote sensing images possibly acquired by two different sensors. This method is based on keypoints matching, evaluation and grouping, and does not require any image co-registration. It consists of two main steps. First, global and local mapping functions are estimated through keypoints extraction and matching. Secondly, based on these mappings, keypoint matchings are used to detect changes and then grouped to extract regions of changes. Both steps are defined through an {\it a contrario} framework, simplifying the parameter setting and providing a robust pipeline. The proposed approach is evaluated on synthetic and real data from different optic sensors with different resolutions, incidence angles and illumination conditions. (10.1109/TGRS.2018.2888985)
DOI : 10.1109/TGRS.2018.2888985

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