Publications

2017

• Dynamic Adaptive Video Streaming: Towards a systematic comparison of ICN and TCP/IP
  
  • Samain Jacques
  • Carofiglio G.
  • Muscariello Luca
  • Papalini Michele
  • Sardara Mauro
  • Tortelli Michele
  • Rossi Dario
  IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2017, 19 (10), pp.2166-2181. Streaming of video contents over the Internet is experiencing an unprecedented growth. While video permeates every application, it also puts tremendous pressure in the network – to support users having heterogeneous accesses and expecting high quality of experience, in a furthermore cost-effective manner. In this context, Future Internet (FI) paradigms, such as Information Centric Networking (ICN), are particularly well suited to not only enhance video delivery at the client (as in the DASH approach), but to also naturally and seamlessly extend video support deeper in the network functions. In this paper, we contrast ICN and TCP/IP with an experimental approach, where we employ several state-of-the-art DASH controllers (PANDA, AdapTech, and BOLA) on an ICN vs TCP/IP network stack. Our campaign, based on tools which we developed and made available as open-source software, includes multiple clients (homogeneous vs heterogeneous mixture, synchronous vs asynchronous arrivals), videos (up to 4K resolution), channels (e.g., DASH profiles, emulated WiFi and LTE, real 3G/4G traces), and levels of integration with an ICN network (i.e., vanilla NDN, wireless loss detection and recovery at the access point, load balancing). Our results clearly illustrate, as well as quantitatively assess, benefits of ICN-based streaming, warning about potential pitfalls that are however easy to avoid.
• A Requirements Engineering Approach for Usability-Driven DSL Development
  
  • Barisic Ankica
  • Blouin Dominique
  • Amaral Vasco
  • Goulao Miguel
  , 2017. There is currently a lack of Requirements Engineering (RE) approaches applied to, or supporting, the development of a Domain-Specific Language (DSL) taking into account the environment in which it is to be used. We present a modelbased RE approach to support DSL development with a focus on usability concerns. RDAL is a RE fragment language that can be complemented with other languages to support RE and design. USE-ME is a model driven approach for DSLs usability evaluation which is integrable with a DSL development approach. We combine RDAL and a new DSL, named DSSL, that we created for the specification of DSL-based systems. Integrated with this combination we add USE-ME to support usability evaluation. This combination of existing languages and tools provides a comprehensive RE approach for DSL development. We illustrate the approach with the development of the Gyro DSL for programming robots.
• Using Butterfly Keys: a Performance Study of Pseudonym Certificates Requests in C-ITS
  
  • Hammi Badis
  • Monteuuis Jean-Philippe
  • Labiod Houda
  • Khatoun Rida
  • Serhrouchni Ahmed
  , 2017. With the rise of smart cities, Cooperative intelligent Transportation Systems (C-ITS) became one of the main use case scenarios. Within these environments, Public Key Infrastructures (PKI) represent the major solution to ensure the needed security requirements. Knowing that communications between the PKI and the vehicle stations or the Road Side Unit stations must be secure, the traditional way to request certificates is too costly in terms of execution time, computation and amount of exchanged data on the network. Besides, it exists a new scheme to request certificates called butterfly keys, which was designed in a way to optimize certificates request process. However it was also designed to fit SCMS project architecture. In this work we adapt butterfly keys scheme to traditional PKI architectures. Then, we implement both of certificate requests schemes and provide a deep performance comparison. This performance comparison shows clearly the efficiency of the butterfly keys scheme over the other one.
• ODMAC++: An IoT Communication Manager Based on Energy Harvesting Prediction
  
  • Perez Samuel
  • Cordero Fuertes Juan Antonio
  • Coupechoux Marceau
  , 2017, pp.1-7. In large low-power networks of battery-driven sen- sors, power outages are a major concern and communication rates have to be carefully designed in order to optimize energy consumption, network connectivity and sensors lifetime. In some IoT use cases, power can be supplied to sensors by way of renewable energy automatic harvesting (solar panels, etc.). Given the high variability of energy arrival processes, energy consump- tion in sensors, in particular caused by sensor transmissions to the sink, has to be then aligned with energy harvesting patterns, in order to maximize throughput while avoiding power outages that may arise when the battery is empty. This paper proposes ODMAC++, an extension to a well-known protocol for sensor transmission scheduling in a WSN. ODMAC++ relies on learning techniques to adapt sensors communication rate to energy harvesting patterns, and uses a beaconing mechanism for which the frequency is adjusted based on past measurements related to the harvested energy process. Simulations based on analytical energy arrival models and on real solar radiation measurements indicate that ODMAC++ is able to avoid power outages and to cope with battery limitation and energy variations due to variability in time.
• A Requirements Engineering Approach for Usability-Driven DSL Development
  
  • Barisic Ankica
  • Blouin Dominique
  • Amaral Vasco
  • Goulao Miguel
  , 2017. There is currently a lack of Requirements Engineering (RE) approaches applied to, or supporting, the development of a Domain-Specific Language (DSL) taking into account the environment in which it is to be used. We present a modelbased RE approach to support DSL development with a focus on usability concerns. RDAL is a RE fragment language that can be complemented with other languages to support RE and design. USE-ME is a model driven approach for DSLs usability evaluation which is integrable with a DSL development approach. We combine RDAL and a new DSL, named DSSL, that we created for the specification of DSL-based systems. Integrated with this combination we add USE-ME to support usability evaluation. This combination of existing languages and tools provides a comprehensive RE approach for DSL development. We illustrate the approach with the development of the Gyro DSL for programming robots.
• Analysis of Ageing effects on ARTIX7 XILINX FPGA (article) Author
  
  • Slimani Mariem
  • Benkalaia Karim
  • Naviner Lirida
  Microelectronics Reliabilit Journal, 2017.
• Arbitrary-shaped Brillouin microwave-photonic filtering by manipulating directly-modulated pump spectrum
  
  • Wei Wei
  • Yi L. L.
  • Jaouën Yves
  • Hu W.
  Optics Letters, Optical Society of America - OSA Publishing, 2017, 42, pp.4083-4086.
• Cognitive Computation and Communication: A Complement Solution to Cloud for IoT
  
  • Nguyen V. T.
  • Nguyen-Thanh N.
  • Yang Lita
  • Duy H. N. Nguyen
  • Jabbour Chadi
  • Murmann Boris
  , 2017.
• Dual Logic Concepts based on Mathematical Morphology in Stratified Institutions: Applications to Spatial Reasoning
  
  • Aiguier Marc
  • Bloch Isabelle
  , 2017.
• A survey on fiber nonlinearity compensation for 400 Gbps and beyond optical communication systems
  
  • Amari Abdelkerim
  • Dobre Octavia
  • Venkatesan R.
  • Kumar O.
  • Ciblat Philippe
  • Jaouën Yves
  Communications Surveys and Tutorials, IEEE Communications Society, Institute of Electrical and Electronics Engineers, 2017.
• Guiding Audio Source Separation by Video Object Information
  
  • Parekh Sanjeel
  • Essid Slim
  • Ozerov Alexey
  • Duong Quang-Khanh-Ngoc
  • Perez Patrick
  • Richard Gael
  , 2017.
• One Fitts’ Law, Two Metrics
  
  • Gori Julien
  • Rioul Olivier
  • Guiard Yves
  • Beaudouin-Lafon Michel
  , 2017, LNCS-10515 (Part III), pp.525-533. Movement time in Fitts’ law is usually considered through the ambiguous notion of the average of minimum movement times. In this paper, we argue that using two distinct metrics, one relating to minimum time and the other relating to average time can be advantageous. Both metrics have a lot of support from theoretical and empirical perspectives. We also give two examples, one in a controlled experiment and the other in a field study of pointing, where making the minimum versus average distinction is fruitful. (10.1007/978-3-319-67687-6_36)
  DOI : 10.1007/978-3-319-67687-6_36
• Leveraging deep neural networks with nonnegative representations for improved environmental sound classification
  
  • Bisot Victor
  • Serizel Romain
  • Essid Slim
  • Richard Gael
  , 2017. This paper introduces the use of representations based on non-negative matrix factorization (NMF) to train deep neural networks with applications to environmental sound classification. Deep learning systems for sound classification usually rely on the network to learn meaningful representations from spectrograms or hand-crafted features. Instead, we introduce a NMF-based feature learning stage before training deep networks , whose usefulness is highlighted in this paper, especially for multi-source acoustic environments such as sound scenes. We rely on two established unsupervised and supervised NMF techniques to learn better input representations for deep neural networks. This will allow us, with simple architectures, to reach competitive performance with more complex systems such as convolutional networks for acoustic scene classification. The proposed systems outperform neu-ral networks trained on time-frequency representations on two acoustic scene classification datasets as well as the best systems from the 2016 DCASE challenge.
• Information-Theoretic Analysis of Human Performance for Command Selection
  
  • Liu Wanyu
  • Rioul Olivier
  • Beaudouin-Lafon Michel
  • Guiard Yves
  , 2017, LNCS-10515 (Part III), pp.515-524. Selecting commands is ubiquitous in current GUIs. While a number of studies have focused on improving rapid command selection through novel interaction techniques, new interface design and innovative devices, user performance in this context has received little attention. Inspired by a recent study which formulated information-theoretic hypotheses to support experimental results on command selection, we aim at explaining user performance from an information-theoretic perspective. We design an ad-hoc command selection experiment for information-theoretic analysis, and explain theoretically why the transmitted information from the user to the computer levels off as difficulty increases. Our reasoning is based on basic information-theoretic concepts such as entropy, mutual information and Fano’s inequality. This implies a bell-shaped behavior of the throughput and therefore an optimal level of difficulty for a given input technique. (10.1007/978-3-319-67687-6_35)
  DOI : 10.1007/978-3-319-67687-6_35
• Grab 'n' Drop: User Configurable Toolglasses
  
  • Eagan James R
  , 2017, 10515 (Part III), pp.315-334. We introduce the grab 'n' drop toolglass, an extension of the toolglass bi-manual interaction technique. It enables users to create and configure their own toolglasses from existing user interfaces that were not designed for toolglasses. Users compose their own toolglass interactions at runtime from an application's user interface elements, bringing interaction closer to the objects of interest in a workspace. Through a proof-of-concept implementation for Mac OS X, we show how grab 'n' drop capabilities could be added to existing applications at the toolkit level, without modifying application source code or UI design. Finally, we evaluate the power and flexibility of this approach by applying it to a variety of applications. We further identify limitations and risks associated with this approach and propose changes to existing toolkits to foster such user-reconfigurable interaction. (10.1007/978-3-319-67687-6_21)
  DOI : 10.1007/978-3-319-67687-6_21
• Procédé et dispositif de détermination indirecte d'un flux solaire incident
  
  • Nabil Tahar
  • Jicquel Jean-Marc
  • Girard Alexandre
  • Roueff François
  , 2017, pp.https://permalink.orbit.com/RenderStaticFirstPage?XPN=QOanRZ3izCL4%252BC%252F5M6pym3fDUqlXTJ5uwQdFuycu4uk%3D%26n%3D1&id=0&base=FAMPAT. The invention relates to a device for indirectly determining a solar flux incident on a structure, comprising means for calculating solar flux according to a theoretical solar flux model taking into account a current value of cloudiness, The device being characterized in that it comprises a first external temperature sensor situated at a location exposed to solar radiation, and a second external temperature sensor situated in the shadow, the calculation means receiving as input a temperature bias value, Defined as the difference between the temperatures measured by the first sensor and the second sensor, and the calculation means being configured to perform an estimation of the nebulosity value as a function of said temperature bias value.
• Contrôle orbital pour le tracé de trajectoires 3D à l'aide des mouvements de la tête
  
  • Jacob Thibaut
  , 2017. Le domaine du son 3D est aujourd'hui en pleine effervescence du fait d'une combinaison de facteurs (normalisation de nouveaux formats audio, équipement des salles de cinéma, etc.). Les travaux effectués dans ce domaine se sont principalement concentrés sur le codage et le traitement du son 3D. Cependant, la création interactive de contenus sonores 3D n'est pas un problème trivial, car cette tâche nécessite de tracer ou d'éditer des trajectoires en trois dimensions pour animer des sources sonores dans l'espace. Dans cette thèse en Interaction Homme-Machine (IHM), nous considérons l'édition de trajectoires de sources sonores en 3D comme un cas particulier de tâche de modélisation 3D et proposons plusieurs contributions. Sur le plan conceptuel, nous proposons un espace de conception pour le tracé de trajectoires en trois dimensions. Nous présentons également une classification des contrôles de caméra existants en fonction du type de contrôle et des modalités utilisées. Sur le plan empirique, nous conduisons 5 études utilisateurs dans le but de créer une technique d'interaction pour le contrôle du point de vue orbital permettant d'effectuer une rotation de 3600 en utilisant le roulis de la tête. Enfin , nous présentons une implémentation de notre technique ainsi que son intégration dans le logiciel de modélisation 3D Blender et dans le logiciel Performer utilisé par Radio France pour contrôler la position de sources sonores dans le cadre de performances en son 3D.
• Experimental Energy Profiling of Energy-Critical Embedded Applications
  
  • Rao Vaddina Kameswar
  • Brandner Florian
  • Memmi Gérard
  • Jouvelot Pierre
  , 2017, pp.1-6. Despite recent advances that have greatly improved the performance of embedded systems, we still face many challenges with regard to energy consumption in energy-constrained embedded and communication platforms. Optimizing applications for energy consumption remains a challenge and thus is a compelling research direction, both on the practical and theoretical sides. This paper presents a new experimental bench for energy profiling of non-performance-critical embedded and mobile applications and reports preliminary results obtained on two embedded boards. The experiments are driven by an online energy monitoring mechanism using National Instruments' cDAQ and LabVIEW running on a host machine. The host monitors a target device, which runs a set of benchmarks. We describe the experience gained from using and modding two different target boards, namely an Nvidia Jetson TX1 and a TI AM572x evaluation module. In particular, we confirm, and thus further validate, the existence of the Energy/Frequency Convexity Rule for CPU-bound benchmarks. This rule states that there exists an optimal clock frequency that minimizes the CPU energy consumption for non-performance-critical applications. We also show that the gain of frequency scaling is highly dependent on workload characteristics. Any future energy-management approach should take these behavioral traits into consideration. I. INTRODUCTION Continuous CMOS technology scaling (Moore's law) increases the on-chip power density due to the higher transistor integration. As power density increases, many factors like power dissipation, leakage, data activity, and electro-migration contribute to higher on-chip temperatures. The increase in temperature leads to an increase in leakage power, thereby increasing the total energy dissipation and thus forming a part of a vicious circle significantly limitting system performance. The bulk of today's computing does not happen on desktops, laptops, servers, or data centers, but rather on embedded media devices like mobile phones [1]. The embedded computing applications running on those devices demand better energy efficiency and flexibility in operation, while delivering better performance per Watt. At the same time, they cannot compete with application-specific integrated circuits (ASIC) in terms of energy efficiency. Indeed, a well-designed ASIC can achieve an efficiency of 5 pJ/op in a 90-nm CMOS process, whereas a very efficient embedded processor would require about 250 pJ/op. That means the embedded processor may consume about 50 times more energy than a custom designed ASIC [1]. Today's system-on-a-chip (SoC) platforms have a lot of software acting in unison, trying to deliver a seamless user
• MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography
  
  • Julia Guiomar Niso Galan
  • Gorgolewski Krzysztof J.
  • Bock Elizabeth
  • Brooks Teon
  • Flandin Guillaume
  • Gramfort Alexandre
  • Henson Richard N.
  • Jas Mainak
  • Litvak Vladimir
  • Moreau Jeremy
  • Oostenveld Robert
  • Schoffelen Jan-Mathijs
  • Tadel François
  • Wexler Joseph
  • Baillet Sylvain
  , 2017. We present a significant extension of the Brain Imaging Data Structure (BIDS) to support the specific aspects of magnetoencephalography (MEG) data. MEG provides direct measurement of brain activity with millisecond temporal resolution and unique source imaging capabilities. So far, BIDS has provided a solution to structure the organization of magnetic resonance imaging (MRI) data, which nature and acquisition parameters are different. Despite the lack of standard data format for MEG, MEG-BIDS is a principled solution to store, organize and share the typically-large data volumes produced. It builds on BIDS for MRI, and therefore readily yields a multimodal data organization by construction. This is particularly valuable for the anatomical and functional registration of MEG source imaging with MRI. With MEG-BIDS and a growing range of software adopting the standard, the MEG community has a solution to minimize curation overheads, reduce data handling errors and optimize usage of computational resources for analytics. The standard also includes well-defined metadata, to facilitate future data harmonization and sharing efforts.
• METHODS FOR RECOVERING SECRET DATA OF A CRYPTOGRAPHIC DEVICE AND FOR EVALUATING THE SECURITY OF SUCH A DEVICE
  
  • Guilley Sylvain
  • Heuser Annelie
  • Rioul Olivier
  , 2017.
• Impact of ferromagnetic obstacles on LF-RFID based indoor positioning systems
  
  • Gharat Vighnesh
  • Colin Elizabeth
  • Baudoin Geneviève
  • Richard Damien Richard
  , 2017. (10.1109/RFID-TA.2017.8098876)
  DOI : 10.1109/RFID-TA.2017.8098876
• Experimental detection of steerability for Bell-local states with two measurement settings
  
  • Diamanti Eleni
  • Orieux Adeline
  • Zaquine Isabelle
  • Kaplan Marc
  • Pramanik Tanumoy
  • Venuti Vivien
  , 2017.
• A Methodology for the Automatic Extraction and Generation of Non-Verbal Signals Sequences Conveying Interpersonal Attitudes
  
  • Chollet Mathieu
  • Ochs Magalie
  • Pelachaud Catherine
  IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2017, XX, pp.1 - 1. —Depending on their application, Embodied Conversational Agents (ECAs) must be able to express various affects or social constructs such as emotions or social attitudes. Non-verbal signals, such as smiles or gestures, contribute to the expression of attitudes. Social attitudes affect the whole behavior of a person: as Scherer puts it, they are " characteristic of an affective style that colors the entire interaction " [1]. Moreover, recent findings have demonstrated that non-verbal signals are not interpretated in isolation but along with surrounding signals: for instance, a smile followed by a gaze aversion and a head aversion may signal embarassment rather than amusement [2]. Non-verbal behavior planning models designed to allow ECAs to express attitudes should thus consider complete sequences of non-verbal signals and not only signals independently of one another. However, existing models do not take this into account, or in a limited manner. The contribution of this paper is a methodology for the automatic extraction of sequences of non-verbal signals characteristic of a social phenomenon from a multimodal corpus, and a non-verbal behavior planning model that takes into account sequences of non-verbal signals rather than signals independently. This methodology is applied to design a virtual recruiter capable of expressing social attitudes, which is then evaluated in and out of an interaction context. (10.1109/TAFFC.2017.2753777)
  DOI : 10.1109/TAFFC.2017.2753777
• Experimental demonstration of practical unforgeable quantum money
  
  • Bozzio Mathieu
  • Orieux Adeline
  • Trigo Vidarte Luis
  • Zaquine Isabelle
  • Kerenidis Iordanis
  • Diamanti Eleni
  , 2017.
• Correlations with on-chip detection and modulation for CVQKD
  
  • Persechino Mauro
  • Trigo Vidarte Luis
  • Ziebell Melissa
  • Crozat Paul
  • Villing André
  • Marris-Morini Delphine
  • Vivien Laurent
  • Diamanti Eleni
  • Grangier Philippe
  , 2017.