We investigate the evolution of the reliability of a mobile communication network through its capacity to avoid and withstand faults (called robustness) and to maintain proper functioning if faults occur nevertheless (called resilience). Our case study focuses on a swarm of nanosatellites orbiting the Moon and operating as a distributed space interferometer. The objective of this study is to evaluate the impact of graph division techniques on the robustness and resilience of the system, simultaneously. A high reliability level is key to guaranteeing proper quality of service by recovering from impairments while preserving the primary function or mission of the mobile...

As a core concept in Industry 4.0, Cyber-Physical Systems (CPS) have been widely utilized in both academic and industrial projects. By leveraging engineered swarm system and mobility, groups of CPS, such as drone swarms, robotic teams, or satellite constellations, can interact and cooperate to collectively exhibit swarm intelligence characterized by adaptability, robustness, and scalability. As a distinct class of computing platforms, CPS swarms face significant challenges in achieving such intelligence. For instance, the dynamic interactions between mobile devices and their environments introduce high uncertainty in system management. In addition, exposure to harsh...

<div><p>Active brain-computer interfaces (aBCIs) exhibit substantial performance variability both across and within participants. While many sources of variability have been investigated, circadian influences remain largely unexplored in aBCI control. We investigated whether time of day and chronotype (individual's circadian preference for sleep and activity timing across the day) jointly modulate BCI performance (classification accuracy). Twelve participants completed 6 EEGbased BCI sessions each alternating between morning and afternoon sessions, performing 3 mental tasks (motor imagery, mental calculation, letter/word association). Online performance was analyzed using...

Face au réchauffement climatique et à la dépendance aux énergies fossiles, cette thèse s’intéresse à la décarbonation du transport aérien. Elle propose une méthodologie visant à évaluer les besoins en énergie et en matières premières liés à l’introduction d’avions bas carbone et à l’usage de vecteurs alternatifs tels que les électrocarburants, biocarburants, hydrogène ou électricité. La première partie de cette thèse a mis en évidence les avantages et les défis technologiques propres à chaque vecteur énergétique. Des modèles de production ont ensuite été développés afin de quantifier les besoins énergétiques associés, révélant que l’électrocarburant est le plus énergivore...

Airports today play an important economic role. As intermodal transport terminals, they have to channel important flows of passengers and goods. In recent decades, they have been the target of terrorist attacks and the place where all types of traffic pass. Consequently, they are faced with the dual objective of maximization of security system as well as maintenance of consistent quality and insurance of fluid traffic flow passengers coupled with the minimization of the expected amount of time a passenger spends in this system.In this article, we are interested in the evaluation of the system of control of passenger flows at boarding, whatever their subsequent path...

This article presents a solution to intercept an agile drone by a team of agile drone carrying catching nets. We formulate the problem as a competitive Multi-Agent Reinforcement Learning (MARL) task. To address the problem of nonstationarity and catastrophic forgetting of agents overfitting to the current opponent strategy, we train the pursuers and the evader using Multi-Agent Proximal Policy Optimization (MAPPO) with Prioritized Fictitious Self Play (PFSP). We train the agents in a high-fidelity simulator using low-level control commands, collective thrust and body rates (CTBR), to achieve agile flights for both the pursuers and the evader. We compare the performance of...

Whistler‐mode waves play a crucial role in shaping magnetospheric electron dynamics. Using Juno's observations, we investigate these waves in Jupiter's post‐midnight‐to‐dawn magnetosphere, spanning 20–80 Jupiter radii. Our survey reveals that whistler‐mode waves predominantly occur in the lobes, while the magnetodisk remains largely devoid of such waves. Simultaneous electron measurements from JADE‐E, combined with dispersion relation analysis, indicate that these waves are likely driven by a mono‐directional electron population between 0.1 and 10 keV propagating anti‐Jupiter‐ward. Further controlled studies show that a local flux minimum at 0.3 keV in the electron energy...

Il existe de nombreux patrons d’architecture logicielle pour l’interaction humain-machine. Ils ont été conçus, améliorés, raffinés, voire réinventés en fonction d’un ensemble de considérations des chercheurs et des praticiens et des évolutions des technologies. Cependant, il n’existe pas à notre connaissance de synthèse et de caractérisation de ces patrons d’architecture. Dans cet article, nous proposons une synthèse partielle de patrons d’architecture, avec les intentions de leurs inventeurs et une formalisation de leur comportement. Nous proposons ensuite une analyse des préoccupations et des composants, en appliquant notamment le principe de la séparation des...

Abstract Sustainability objectives in the aeronautical industry push companies toward novel aircraft propulsive systems (e.g., hybrid electric or hydrogen-based). Coupled with reliability constraints for certification, this creates a potentially highly complex propulsive architecture design. Thus, tools and methods are needed to explore this growing system design space efficiently. Several critical features have been identified by system architects in one of the leading companies in this domain: consideration of parallel functional chains for safety and redundancy reasons, systematic exploration of the design space, and the possibility to systematically generate from...