Publications

2018

• Genomic Analyses Yield Markers for Identifying Agronomically Important Genes in Potato
  
  • Li Yangping
  • Colleoni Christophe
  • Zhan Junjie
  • Liang Qiqi
  • Yu Yufeng
  • Ruess Holly
  • Simon Reinhard
  • Liu Yinghong
  • Liu Hanmei
  • Yu Guowu
  • Schmitt Eric
  • Ponitzki Chloé
  • Liu Guangjian
  • Huang Huanhuan
  • Zhan Feilong
  • Chen Lin
  • Huang Yubi
  • Spooner David
  • Huang Binquan
  Molecular Plant, Cell Press/Oxford UP, 2018, 11, pp.1-12. (10.1016/j.molp.2018.01.009)
  DOI : 10.1016/j.molp.2018.01.009
• Talbot coupling of an array of quantum cascade lasers
  
  • Grillot Frédéric
  • Gavrielides A
  • Spitz Olivier
  • Newell Tim C
  • Carras Mathieu
  Proceedings of SPIE, the International Society for Optical Engineering, SPIE, The International Society for Optical Engineering, 2018, 10540, pp.105401M. Quantum cascade lasers (QCL) are semiconductor lasers based on ultrafast intersubband transitions with pi-cosecond timescale that have become the most suitable laser sources from the mid-infrared to the THz range, due to their compactness, efficiency and high room temperature performances. In particular, high-power QCLs are powerful sources for optical countermeasures, including night vision blinding and missile out steering. This work investigates the nonlinear dynamical features of coupling of linear arrays of emitters in the so-called Tal-bot configuration for phase-locking operation using broad area emitters. These initial results are of paramount importance for creating future bright infrared sources with Watt-level power. (10.1117/12.2291761)
  DOI : 10.1117/12.2291761
• 3D Completion in Computer Graphics: from non-local reconstruction to interactive geometry cloning
  
  • Boubekeur Tamy
  , 2018.
• How to build leverage, maintain and assess motivation in online learning environments
  
  • Sharrock Rémi
  , 2018.
• Planck intermediate results XV. A study of anomalous microwave emission in Galactic clouds (Corrigendum)
  
  • Collaboration Planck
  • Ade P.
  • Aghanim N.
  • Alves M.
  • Arnaud M.
  • Atrio-Barandela F.
  • Aumont J.
  • Baccigalupi C.
  • Banday A.
  • Barreiro R.
  • Battaner E.
  • Benabed K.
  • Benoit-Lévy A.
  • Bernard J.-P.
  • Bersanelli M.
  • Bielewicz P.
  • Bobin J.
  • Bonaldi A.
  • Bond J.
  • Borrill J.
  • Bouchet F.
  • Boulanger F.
  • Burigana C.
  • Cardoso J.-F.
  • Casassus S.
  • Catalano A.
  • Chamballu A.
  • Chen X.
  • Chiang H.
  • Chiang L.-Y.
  • Christensen P.
  • Clements D.
  • Colombi S.
  • Colombo L.
  • Couchot F.
  • Crill B.
  • Cuttaia F.
  • Danese L.
  • Davies R.
  • Davis R.
  • de Bernardis P.
  • de Rosa A.
  • de Zotti G.
  • Delabrouille J.
  • Désert F.-X.
  • Dickinson C.
  • Diego J.
  • Donzelli S.
  • Doré O.
  • Dupac X.
  • Ensslin T.
  • Eriksen H.
  • Finelli F.
  • Forni O.
  • Franceschi E.
  • Galeotta S.
  • Ganga K.
  • Génova-Santos R.
  • Ghosh T.
  • Giard M.
  • González-Nuevo J.
  • Górski K.
  • Gregorio A.
  • Gruppuso A.
  • Hansen F.
  • Harrison D.
  • Helou G.
  • Hernández-Monteagudo C.
  • Hildebrandt S.
  • Hivon E.
  • Hobson M.
  • Hornstrup A.
  • Jaffe A.
  • Jaffe T.
  • Jones W.
  • Keihänen E.
  • Keskitalo R.
  • Kneissl R.
  • Knoche J.
  • Kunz M.
  • Kurki-Suonio H.
  • Lähteenmäki A.
  • Lamarre J.-M.
  • Lasenby A.
  • Lawrence C.
  • Leonardi R.
  • Liguori M.
  • Lilje P.
  • Linden-Vørnle M.
  • López-Caniego M.
  • Macias-Perez J.
  • Maffei B.
  • Maino D.
  • Mandolesi N.
  • Marshall D.
  • Martin P.
  • Martínez-González E.
  • Masi S.
  • Massardi M.
  • Matarrese S.
  • Mazzotta P.
  • Meinhold P.
  • Melchiorri A.
  • Mendes L.
  • Mennella A.
  • Migliaccio M.
  • Miville-Deschênes M.-A.
  • Moneti A.
  • Montier L.
  • Morgante G.
  • Mortlock D.
  • Munshi D.
  • Naselsky P.
  • Nati F.
  • Natoli P.
  • N∅rgaard-Nielsen H.
  • Noviello F.
  • Novikov D.
  • Novikov I.
  • Oxborrow C.
  • Pagano L.
  • Pajot F.
  • Paladini R.
  • Paoletti D.
  • Patanchon G.
  • Pearson T.
  • Peel M.
  • Perdereau O.
  • Perrotta F.
  • Piacentini F.
  • Piat M.
  • Pierpaoli E.
  • Pietrobon D.
  • Plaszczynski S.
  • Pointecouteau E.
  • Polenta G.
  • Ponthieu N.
  • Popa L.
  • Pratt G.
  • Prunet S.
  • Puget J.-L.
  • Rachen J.
  • Rebolo R.
  • Reich W.
  • Reinecke M.
  • Remazeilles M.
  • Renault C.
  • Ricciardi S.
  • Riller T.
  • Ristorcelli I.
  • Rocha G.
  • Rosset C.
  • Roudier G.
  • Rubiño-Martín J.
  • Rusholme B.
  • Sandri M.
  • Savini G.
  • Scott D.
  • Spencer L.
  • Stolyarov V.
  • Sutton D.
  • Suur-Uski A.-S.
  • Sygnet J.-F.
  • Tauber J.
  • Tavagnacco D.
  • Terenzi L.
  • Tibbs C.
  • Toffolatti L.
  • Tomasi M.
  • Tristram M.
  • Tucci M.
  • Valenziano L.
  • Valiviita J.
  • van Tent B.
  • Varis J.
  • Verstraete L.
  • Vielva P.
  • Villa Francesca
  • Wandelt B.
  • Watson R.
  • Wilkinson A.
  • Ysard N.
  • Yvon D.
  • Zacchei A.
  • Zonca A.
  Astronomy & Astrophysics - A&A, EDP Sciences, 2018, 610, pp.C1. (10.1051/0004-6361/201322612e)
  DOI : 10.1051/0004-6361/201322612e
• Exploring Hybrid STT-MTJ/CMOS Energy Solution in Near-/Sub-Threshold Regime for IoT Applications
  
  • Cai Hao
  • Wang You
  • Naviner Lirida
  • Yang Jun
  • Zhao Weisheng
  IEEE Transactions on Magnetics, Institute of Electrical and Electronics Engineers, 2018, 54 (2), pp.1-9. Emerging memories have been developed to achieve energy efficiency target in the Internet of Things era. Spin transfer torque magnetic tunnel junction (STT-MTJ)-based nonvolatile (NV) memory has demonstrated attractive performance because of zero standby power, reduced switching power, infinite endurance, and high density. Meanwhile, hybrid STT-MTJ/CMOS integration is a promising solution to overcome the bottleneck of dynamic and leakage power dissipation. In this paper, ultralow power methodologies are developed at device and circuit level in 28 nm fully depleted silicon on insulator CMOS technology. Supply voltage scaling, near-/sub-threshold (V t ) operation, and back-bias adjustment are demonstrated, showing 81% dynamic power reduction under 0.6 V near-V t sensing operation, with the tradeoff of 6.2% increased sensing error rate. Through the case study on STT-MTJ-based NV flip-flops (NV-FFs), up to 76% dynamic and 79% leakage power saving can be realized in ultra-low power NV-FF implementation. (10.1109/TMAG.2017.2766220)
  DOI : 10.1109/TMAG.2017.2766220
• The EMPATHIC Project: Building an Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderly
  
  • Brinkschulte Luisa
  • Mariacher Natascha
  • Schlögl Stephan
  • Torres Maria Ines
  • Justo Raquel
  • Esposito Anna
  • Cordasco Gennaro
  • Chollet Gérard
  • Glackin Cornelius
  • Pickard Colin
  • Petrovska-Delacrétaz Dijana
  • Hmani Mohamed Amine
  • Mtibaa Aymen
  • Fernandez Anaïs
  • Kyslitska Daria
  • Fernandez-Ruanova Begoña
  • Tenorio-Laranga Jofre
  • Aksnes Mari
  • Stylianou Korsnes Maria
  • Reiner Miriam
  • Lindner Fredrik
  • Deroo Olivier
  • Gordeeva Olga
  , 2018, pp.36-52.
• Exploring Hybrid STT-MTJ/CMOS Energy Solution in Near/Sub-Threshold Regime
  
  • Cai Hao
  • Wang You
  • Naviner Lirida
  • Zhao Weisheng
  IEEE Transactions on Magnetics, Institute of Electrical and Electronics Engineers, 2018, 54 (2), pp.1-9.
• Distributed Hypothesis Testing Over a Noisy Channel
  
  • Salehkalaibar Sadaf
  • Wigger Michèle
  , 2018. (10.3929/ethz-b-000245046)
  DOI : 10.3929/ethz-b-000245046
• On the weak convergence of the empirical conditional copula under a simplifying assumption
  
  • Portier François
  • Segers Johan
  Journal of Multivariate Analysis, Elsevier, 2018.
• Weblinux: run linux 100% client-side in the browser
  
  • Sharrock Rémi
  , 2018.
• Sampling methods for scaling up empirical risk minimization
  
  • Papa Guillaume
  , 2018. In this manuscript, we present and study applied sampling strategies, with problems related to statistical learning. The goal is to deal with the problems that usually arise in a context of large data when the number of observations and their dimensionality constrain the learning process. We therefore propose to address this problem using two sampling strategies: - Accelerate the learning process by sampling the most helpful. - Simplify the problem by discarding some observations to reduce complexity and the size of the problem. We first consider the context of the binary classification, when the observations used to form a classifier come from a sampling / survey scheme and present a complex dependency structure. for which we establish bounds of generalization. Then we study the implementation problem of stochastic gradient descent when observations are drawn non uniformly. We conclude this thesis by studying the problem of graph reconstruction for which we establish new theoretical results,
• Détection et segmentation de lésions dans des images cérébrales TEP-IRM
  
  • Urien Hélène
  , 2018. L’essor récent de l’imagerie hybride combinant la Tomographie par Emission de Positons (TEP) à l’Imagerie par Résonance Magnétique (IRM) est une opportunité permettant d’exploiter des images d’un même territoire anatomo-pathologique obtenues simultanément et apportant des informations complémentaires. Cela représente aussi un véritable défi en raison de la différence de nature et de résolution spatiale des données acquises. Cette nouvelle technologie offre notamment des perspectives attrayantes en oncologie, et plus particulièrement en neuro-oncologie grâce au contraste qu’offre l’image IRM entre les tissus mous. Dans ce contexte et dans le cadre du projet PIM (Physique et Ingénierie pour la Médecine) de l’Université Paris-Saclay, l’objectif de cette thèse a été de développer un processus de segmentation multimodale adapté aux images TEP et IRM, comprenant une méthode de détection des volumes tumoraux en TEP et IRM, et une technique de segmentation précise du volume tumoral IRM. Ce processus doit être suffisamment générique pour s’appliquer à diverses pathologies cérébrales, différentes par leur nature même et par l’application clinique considérée. La première partie de la thèse aborde la détection de tumeurs par une approche hiérarchique. Plus précisément, la méthode de détection, réalisée sur les images IRM ou TEP, repose sur la création d’un nouveau critère de contexte spatial permettant de sélectionner les lésions potentielles par filtrage d’une représentation de l’image par max-tree. La deuxième partie de la thèse concerne la segmentation du volume tumoral sur les images IRM par une méthode variationnelle par ensembles de niveaux. La méthode de segmentation développée repose sur la minimisation d’une énergie globalement convexe associée à une partition d’une image RM en régions homogènes guidée par des informations de la TEP. Enfin, une dernière partie étend les méthodes proposées précédemment à l’imagerie multimodale IRM, notamment dans le cadre de suivi longitudinal. Les méthodes développées ont été testées sur plusieurs bases de données, chacune correspondant à une pathologie cérébrale et un radiotraceur TEP distincts. Les données TEP-IRM disponibles comprennent, d’une part, des examens de méningiomes et de gliomes acquis sur des machines séparées, et d’autre part, des examens réalisés sur le scanner hybride du Service Hospitalier Frédéric Joliot d’Orsay dans le cadre de recherches de tumeurs cérébrales. La méthode de détection développée a aussi été adaptée à l’imagerie multimodale IRM pour la recherche de lésions de sclérose en plaques ou le suivi longitudinal. Les résultats obtenus montrent que la méthode développée, reposant sur un socle générique, mais étant aussi modulable à travers le choix de paramètres, peut s’adapter à diverses applications cliniques. Par exemple, la qualité de la segmentation des images issues de la machine combinée a été mesurée par le coefficient de Dice, la distance de Hausdorff (DH) et la distance moyenne (DM), en prenant comme référence une segmentation manuelle de la tumeur validée par un expert médical. Les résultats expérimentaux sur ces données montrent que la méthode détecte les lésions visibles à la fois sur les images TEP et IRM, et que la segmentation contoure correctement la lésion (Dice, DH et DM valant respectivement 0, 85 ± 0, 09, 7, 28 ± 5, 42 mm et 0, 72 ± 0, 36mm).
• 20 W 1952 nm Tandem Hybrid Single and Double Clad TDFA
  
  • Romano Clément
  • Tench Robert E
  • Delavaux Jean-Marc
  , 2018. A simple engineering design is important for achieving high Thulium-doped amplifier (TDFA) performance such as good power conversion, low noise figure (NF), scalable output power, high gain, and stable operation over a large dynamic range. In this paper we report the design, performance, and simulation of two stage high-power 1952 nm hybrid single and double clad TDFAs. The first stage of our hybrid amplifier is a single clad design, and the second stage is a double clad design. We demonstrate TDFAs with an output power greater than 20 W with single-frequency narrow linewidth (i.e. MHz) input signals at both 1952 and 2004 nm. An optical 10 dB bandwidth of 80 nm is derived from the ASE spectrum. The power stage is constructed with 10 µm core active fibers showing a maximum optical slope efficiency greater than 50 %. The experimental results lead to a 1 dB agreement with our simulation tool developed for single clad and double clad TDFAs. Overall this hybrid amplifier offers versatile features with the potential of much higher output power.
• Framework for the Formal Specification and Verification of Security Guidelines
  
  • Zhioua Zeineb
  • Ameur-Boulifa Rabéa
  • Roudier Yves
  Advances in Science, Technology and Engineering Systems Journal, Advances in Science Technology and Engineering Systems Journal (ASTESJ), 2018, 3 (1), pp.38-48.
• The Preferred System Gamma is Primarily Determined by the Ratio of Dynamic Range of the Original Scene and the Displayed Image
  
  • Kane David
  • Grimaldi Antoine
  • Zerman Emin
  • Bertalmío Marcelo
  • Hulusic Vedad
  • Valenzise Giuseppe
  , 2018. The dynamic range of real world scenes may vary from around 10 2 to greater than 10 7 , whilst the dynamic range of monitors may vary from 10 2 to 10 5. In this paper, we investigate the impact of the dynamic range ratio (DR ratio) between the captured scene and the displayed image, upon the value of system gamma preferred by subjects (a simple global power law transformation applied to the image). To do so, we present an image dataset with a broad distribution of dynamic ranges upon various sub-ranges of a SIM2 monitor. The full dynamic range of the monitor is 10 5 and we present images using either the full range, 75% or 50% of this, while maintaining a fixed mid-luminance level. We find that the preferred system gamma is inversely correlated with the DR ratio and importantly, is one (linear) when the DR ratio is one. This strongly suggests that the visual system is optimized for processing images only when the dynamic range is presented correctly. The DR ratio is not the only factor. By using 50% of the monitor dynamic range and using either the lower, middle or upper portion of the monitor, we show that increasing the overall luminance level also increases the preferred system gamma, although to a lesser extent than the DR ratio . (10.2352/issn.2470-1173.2018.14.hvei-508)
  DOI : 10.2352/issn.2470-1173.2018.14.hvei-508
• Optimized design and performance of a shared pump single clad 2 µm TDFA
  
  • Tench Robert E
  • Romano Clément
  • Delavaux Jean-Marc
  , 2018. We report the design, experimental performance, and simulation of a single stage, co-and counter-pumped Tm-doped fiber amplifier (TDFA) in the 2 μm signal wavelength band with an optimized 1567 nm shared pump source. We investigate the dependence of output power, gain, and efficiency on pump coupling ratio and signal wavelength. Small signal gains of >50 dB, an output power of 2 W, and small signal noise figures of <3.5 dB are demonstrated. Simulations of TDFA performance agree well with the experimental data. We also discuss performance tradeoffs with respect to amplifier topology for this simple and efficient TDFA. (10.1117/12.2286933)
  DOI : 10.1117/12.2286933
• Temperature dependence of spectral linewidth of InAs/InP quantum dot distributed feedback lasers
  
  • Duan Jianan
  • Huang Heming
  • Schires Kevin
  • Poole Philip
  • Wang Cheng
  • Grillot Frederic
  , 2018, pp.16. (10.1117/12.2290905)
  DOI : 10.1117/12.2290905
• Multi-level Latency Evaluation with an MDE Approach
  
  • Genius Daniela
  • Li Letitia W.
  • Apvrille Ludovic
  • Tanzi Tullio
  , 2018. Designing embedded systems includes two main phases: (i) HW/SW Partitioning performed from high-level functional and architecture models, and (ii) Software Design performed with significantly more detailed models. Partitioning decisions are made according to performance assumptions that should be validated on the more refined software models. In this paper, we focus on one such metric: latencies between operations. We show how they can be modeled at different abstraction levels (partitioning, SW design) and how they can help determine accuracy of the computational complexity estimates made during HW/SW Partitioning. (10.5220/0006535902950302)
  DOI : 10.5220/0006535902950302
• Constitution d’un corpus d’articles scientifiques avec représentation sémantique
  
  • Moissinac Jean-Claude
  , 2018. Dans le cadre du projet SemBib, nous avons entrepris une représentation sémantique de la production scientifique de Télécom Paristech. Au delà des objectifs internes, ce corpus enrichi est une source d’expérimentation et une ressource pédagogique. ce travail repose sur l’utilisation de méthodes de fouilles de texte pour construire des graphes de connaissances, puis sur la production d’analyses à partir de ces graphes. La proposition principale exposée est la méthodologie de production de graphes disjoints, aux rôles bien identifiés, afin de permettre des utilisations différenciées, et en particulier la comparaison entre méthodes de production et d’exploitation des graphes. Cet article est avant tout une proposition méthodologique pour l’organisation de représentation sémantique de publications, en s’appuyant sur des méthodes de fouille de texte. La méthode proposée facilite des approches d’enrichissement progressifs des représentations avec possibilités d’évaluation à chaque étape
• ALGeoSPF: Un modèle de factorisation basé sur du clustering géographique pour la recommandation de POI
  
  • Griesner Jean-Benoît
  • Abdessalem Talel
  • Naacke Hubert
  • Dosne Pierre
  , 2018, pp.12.
• A Model Compilation Approach for Optimized Implementations of Signal-Processing Systems
  
  • Enrici Andrea
  • Lallet Julien
  • Latif Imran
  • Apvrille Ludovic
  • Pacalet Renaud
  • Canuel Adrien
  , 2018, 1, pp.25-35. To meet the computational and flexibility requirements of future 5G networks, the signal-processing functions of baseband stations and user equipments will be accelerated onto programmable, configurable and hard- wired components (e.g., CPUs, FPGAs, hardware accelerators). Such mixed architectures urge the need to automatically generate efficient implementations from high-level models. Existing model-based approaches can generate executable implementations of Systems-on-Chip (SoCs) by translating models into multiple SoC- programming languages (e.g., C/C++, OpenCL, Verilog/VHDL). However, these translations do not typically consider the optimization of non-functional properties (e.g., memory footprint, scheduling). This paper pro- poses a novel approach where system-level models are optimized and compiled into multiple implementations for different SoC architectures. We show the effectiveness of our approach with the compilation of UML/SysML models of a 5G decoder. Our solution generates both a software implementation for a Digital Signal Processor platform and a hardware-software implementation for a platform based on hardware Intellectual Property (IP) blocks. Overall, we achieve a memory footprint reduction of 80.07% in the first case and 88.93% in the second case. (10.5220/0006534800250035)
  DOI : 10.5220/0006534800250035
• Model-based programming for multi-processor platforms with TTool/DIPLODOCUS and OMC
  
  • Enrici A.
  • Lallet J.
  • Pacalet R.
  • Apvrille Ludovic
  • Desnos Karol
  • Latif I.
  , 2019, 991, pp.56-81. The complexity of today’s multi-processor architectures raises the need to increase the level of abstraction of software development paradigms above third-generation programming languages (e.g., C/C++). Code generation from model-based specifications is considered as a promising approach to increase the productivity and quality of software development, with respect to traditional paradigms where code is used as the main artifact to develop software. In this context, powerful and robust tools are needed in order to accomplish the transition from code-based programming to model-based programming. In this paper we propose a novel approach and tools where system-level models are compiled into standard C code while optimizing the system’s memory footprint. We show the effectiveness of our approach with the model-based programming of UML/SysML diagrams for a 5G decoder. From the compiled C code, we generate both a software implementation for a Digital Signal Processor platform and a hardware-software implementation for a platform based on hardware Intellectual Property (IP) blocks. Our optimizations achieve a memory footprint reduction of 80.07% and 88.93%, respectively. © 2019, Springer Nature Switzerland AG. (10.1007/978-3-030-11030-7_4)
  DOI : 10.1007/978-3-030-11030-7_4
• Assessment and analysis of high dynamic range video quality
  
  • Zerman Emin
  , 2018. In the last decade, high dynamic range (HDR) image and video technology gained a lot of attention, especially within the multimedia community. Recent technological advancements made the acquisition, compression, and reproduction of HDR content easier, and that led to the commercialization of HDR displays and popularization of HDR content. In this context, measuring the quality of HDR content plays a fundamental role in improving the content distribution chain as well as individual parts of it, such as compression and display. However, HDR visual quality assessment presents new challenges with respect to the standard dynamic range (SDR) case. The first challenge is the new conditions introduced by the reproduction of HDR content, e.g. the increase in brightness and contrast. Even though accurate reproduction is not necessary for most of the practical cases, accurate estimation of the emitted luminance is necessary for the objective HDR quality assessment metrics. In order to understand the effects of display rendering on the quality perception, an accurate HDR frame reproduction algorithm was developed, and a subjective experiment was conducted to analyze the impact of different display renderings on subjective and objective HDR quality evaluation. Additionally, in order to understand the impact of color with the increased brightness of the HDR displays, the effects of different color spaces on the HDR video compression performance were also analyzed in another subjective study. Another challenge is to estimate the quality of HDR content objectively, using computers and algorithms. In order to address this challenge, the thesis proceeds with the performance evaluation of full-reference (FR) HDR image quality metrics. HDR images have a larger brightness range and higher contrast values. Since most of the image quality metrics are developed for SDR images, they need to be adapted in order to estimate the quality of HDR images. Different adaptation methods were used for SDR metrics, and they were compared with the existing image quality metrics developed exclusively for HDR images. Moreover, we propose a new method for the evaluation of metric discriminability based ona novel classification approach. Motivated by the need to fuse several different quality databases, in the third part of the thesis, we compare subjective quality scores acquired by using different subjective test methodologies. Subjective quality assessment is regarded as the most effective and reliable way of obtaining “ground-truth” quality scores for the selected stimuli, and the obtained mean opinion scores (MOS) are the values to which generally objective metrics are trained to match. In fact, strong discrepancies can easily be notified across databases when different multimedia quality databases are considered. In order to understand the relationship between the quality values acquired using different methodologies, the relationship between MOS values and pairwise comparisons (PC) scaling results were compared. For this purpose, a series of experiments were conducted using double stimulus impairment scale (DSIS) and pairwise comparisons subjective methodologies. We propose to include cross-content comparisons in the PC experiments in order to improve scaling performance and reduce cross-content variance as well as confidence intervals. The scaled PC scores can also be used for subjective multimedia quality assessment scenarios other than HDR.
• Perils of using CQIC in LTE network and a quick fix with delayed ACK
  
  • Zhong Zhenzhe
  • Hamchaoui Isabelle
  • Khatoun Rida
  , 2018, pp.1-2. (10.1109/CCNC.2018.8319290)
  DOI : 10.1109/CCNC.2018.8319290