ACTUALITÉS (tout voir)

80 ans du CNRS

En 2019, le CNRS fête ses 80 ans (et le laboratoire I3S ses 30 ans). La délégation régionale du CNRS Côte d'Azur (DR20) dont fait partie le laboratoire propose des manifestations pendant toute l'année 2019.

SPARKS participe à l'organisation de Interact 2019

La 17e IFIP TC.13 International Conference on Human-Computer Interaction – INTERACT 2019 a lieu à Paphos (Chypre), du 2 au 6 septembre 2019. Marco Winckler, équipe Sparks, en est "Technical Program Co-Chair".

Pour en savoir plus : consultez les pages de la conférence Interact 2019
Emanuele Natale awarded by Italian Chapter of EATCS

Lors de la conférence The Italian Conference on Theoretical Computer Science (ICTCS) (9-11 septembre 2019), Emanuele Natale, équipe COMRED, reçoit le prix "Best Italian Young Researcher in Theoretical Computer Science" décerné par Italian Chapter of EATCS (the European Association of Theoretical Computer Science).

SLPC 2019

L'équipe SPARKS, en particulier Philippe Collet (tutorials) et Sébastien Mosser (publicity), est impliquée dans l'organisation de la conférence SPLC 2019, 23th International Systems and Software Product Line Conference, du 9 au 13 septembre 2109 à Paris.

Pour en savoir plus : consultez le site de SPLC 2019
ISCW 2019

Fabien Gadon, équipe SPARKS, est genral chair de la conférence ISWC, The 18th International Semantic Web Conference, October 26 – 30, 2019, The University of Auckland, New Zealand.

Pour en savoir plus : consultez le site de ISWC 2019
CSBIO 2019

Du 4 au 7 décembre 2019, sur le campus Valrose, l'équipe MDSC, et en particulier Elisabetta De Maria (General Chair et Conference Program co-Chair), co-organise la 10eInternational Conference on Computational Systems-Biology and Bioinformatics (CSBio 2019).

Site de la conférence CSBIO 2019



It's on the SophiaTech campus in the heart of the Sophia Antipolis technology park our laboratory conducts research in the field of information science and communication.
"Advancing knowledge, consider the economic and technological realities, while imagining tomorrow's solutions."

The I3S laboratory is one of the largest information and communication science laboratories in the French Riviera. it was one of first ones to settle down on Sophia Antipolis Science and Technology Park. It consists of a little less than 300 people. [+...]

In partnership with CNRS and INRIA, and numerous industrial collaborations, we work on the themes of innovative research at the cutting edge of science and technology: systems and networks ubiquitous, biology and digital health, modeling for environment interactions and practices. [+...]


The laboratory is organized in 4 teams:

COMRED team (French acronym for Communications, Networks, Embedded Systems, Distributed Systems)
MDSC team (French acronym for Discrete Models for Complex System)
SIS team (Signal, Image and Systems)
SPARKS team (Scalable and Pervasive softwARe and Knowledge Systems)

The 5 latest submissions recorded in HAL

Julien Bensmail, Kasper Lyngsie.
1-2-3 Conjecture in Digraphs: More Results and Directions.
Alberto Dennunzio, Enrico Formenti, Darij Grinberg, Luciano Margara.
Additive Cellular Automata Over Finite Abelian Groups: Topological and Measure Theoretic Properties.
44th International Symposium on Mathematical Foundations of Computer Science, Aug 2019, Aachen, Germany. pp.1--15, ⟨10.4230/LIPIcs.MFCS.2019.68⟩
Maxime Meilland, Andrew I. Comport, Patrick Rives.
Dense visual mapping of large scale environments for real-time localisation.
IEEE/RSJ International Conference on Intelligent Robots and System, 2011, San Francisco, California, United States
Yann Busnel, Christelle Caillouet, David Coudert.
Self-organized UAV-based Supervision and Connectivity: Challenges and Opportunities.
The 18th IEEE International Symposium on Network Computing and Applications (NCA 2019), Sep 2019, Cambridge, Massachussets, United States
Christelle Caillouet, Martin Heusse, Franck Rousseau.
Optimal SF Allocation in LoRaWAN Considering Physical Capture and Imperfect Orthogonality.
IEEE Global Communications Conference (GLOBECOM), Dec 2019, Big Island, Hawai, United States


A. Siqueira, A. F. Spirandeli, R. Moraes and V. Zarzoso, "Respiratory Waveform Estimation From Multiple Accelerometers: An Optimal Sensor Number and Placement Analysis," in IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 4, pp. 1507-1515, July 2019.

Accelerometers ; Estimation ; Thorax;Informatics ; Abdomen ; Transducers ; Data acquisition ; Respiratory measurements ; accelero-meters ; linear estimation ; minimum mean square error ; blind source extraction ; independent component analysis

Respiratory patterns are commonly measured to monitor and diagnose cardiovascular, metabolic, and sleep disorders. Electronic devices such as masks used to record respiratory waveforms usually require medical staff support and obstruct the patients' breathing, causing discomfort. New techniques are being investigated to overcome such limitations. An emerging approach involves accelerometers to estimate the respiratory waveform based on chest motion. However, most of the existing techniques employ a single accelerometer placed on an arbitrary thorax position. The present work investigates the use and optimal placement of multiple accelerometers located on the thorax and the abdomen. The study population is composed of 30 healthy volunteers in three different postures. By means of a custom-made microcontrolled system, data are acquired from an array of ten accelerometers located on predefined positions and a pneumotachograph used as reference. The best sensor locations are identified by optimal linear reconstruction of the reference waveform from the accelerometer data in the minimum mean square error sense. The analysis shows that right-hand side locations contribute more often to optimal respiratory waveform estimates, a sound finding given that the right lung has a larger volume than the left lung. In addition, the authors show that the respiratory waveform can be blindly extracted from the recorded accelerometer data by means of independent component analysis. In conclusion, linear processing of multiple accelerometers in optimal positions can successfully recover respiratory information in clinical settings, where the use of masks may be contraindicated.