The study finds that in urban environments, the performance of non-cross-layer routing protocols (AODV, OLSR, DSDV) becomes nearly identical, contradicting earlier research that ranked their effectiveness. Using a new building-aware loss model in ns-3, we show that realistic urban conditions, unlike traditional open-field models, cause end-to-end delay to increase up to tenfold, with high variability due to unstable links. We also investigate whether adjusting parameters in open-field models could mimic urban connectivity. While this tuning matched some network connectivity metrics, it failed to replicate more complex concepts linked with propagation dynamics of cities...

Sound modality carries information that image does not. In order to exploit this information in the best way when navigating egocentric videos, this work explores how users query and interact with sound-based content in egocentric videos. We propose a zero-shot audiovisual retrieval method. Then, we design two user studies, (1) we ask users how they query sound in a mass web-based questionnaire and (2) we compare vision-only retrieval with audio-visual retrieval in egocentric, or first person, videos.

Dynamic difficulty adjustment (DDA) is a key mechanism for maintaining player engagement in video games. This study compares two types of DDA: one based on player performance, and the other on pupil size, a physiological indicator reflecting arousal and cognitive load. Forty-four participants played two sessions of Tetris using these two adjustment methods. Flow experience was measured using a standardized scale and an innovative temporal graphtracing method. Although no significant difference was observed on average in flow scores, exploratory results show that pupil-based adjustment leads to more frequent changes in game difficulty and a generally higher effective level...

Long Covid (LC) is a chronic, energy-limiting condition characterized by multisystemic, fluctuating, and disabling symptoms, with a major impact on the daily lives of those affected. Despite its prevalence, LC remains poorly recognized, with no specific treatment or accessible care pathway. In this context, patients are left to manage their condition largely on their own and are in need of tools to support day-to-day self-management. Digital solutions can play a valuable role by helping patients monitor and manage symptoms, as well as implement pacing strategies-currently recommended to manage energy and prevent post-exertional malaise. This preliminary review is intended...

Error-related potentials (ErrPs) have been studied to evaluate wrong decisions or actions in several contexts. An ErrP is an electrical potential on the scalp generated by the perception of errors and occurs unwittingly. In human-robot collaboration (HRC), ErrP detection can be shown as feedback or trigger an action to adapt the system to the user. This contributes to the improvement of HRC, taking into account user performance. However, to our knowledge, the detection of ErrPs in HRC has not been widely explored, resulting in only a few studies. This preliminary systematic review will present work on ErrP-based interfaces related to adaptation, control, and...

Simplex-structured matrix factorization (SSMF) is a common task encountered in signal processing and machine learning. Minimum-volume constrained unmixing (MVCU) algorithms are among the most widely used methods to perform this task. While MVCU algorithms generally perform well in an offline setting, their direct application to online scenarios suffers from scalability limitations due to memory and computational demands. To overcome these limitations, this paper proposes an approach which can build upon any off-the-shelf MVCU algorithm to operate sequentially, i.e., to handle one observation at a time. The key idea of the proposed method consists in updating the solution...

Les drones offrent un soutien précieux lors des missions de lutte contre les incendies en fournissant un point de vue inédit, permettant aux chefs de mission de prendre des décisions avec une plus grande connaissance de la situation. Cependant, leur potentiel pour fournir directement des informations aux pompiers sur le terrain reste sous-exploité. Nous proposons un prototype de drone capable de transmettre des informations en temps réel aux pompiers via un écran à basse résolution sur le drone. Nous avons conçu des animations en utilisant un processus itératif (N=11+7) pour communiquer des informations cruciales aux pompiers, basées sur des tâches identifiées dans la...

Path planning for multiple vehicles is a difficult task, but even more so for fixed-wing aircraft. When flying several of them, multiple constraints may apply: constant airspeed, to maintain optimal operational conditions; synchronous arrival to destination, to achieve formation flight; taking into account wind, for limiting deviation from plan, especially for smaller Unmanned Aerial Vehicles. We present a method to solve this problem based on enumerating variations of Dubins paths until a conflict-free solution is found. This provides a simple and parallelizable scheme that can be extended to handle sequencing tasks. We showcase different situations solved in simulation...

<div><p>This paper presents a new hybrid method, based on simulated annealing and dynamic programming, tailored to solve a Demand and Capacity Balancing (DCB) problem that overcomes the limitations of the current Air Traffic Flow and Capacity Management (ATFCM) system by: (a) the introduction of complexity metrics (instead of entry counts) in order to measure the traffic load; (b) the better consideration of the airspace users' preferences, allowing the possibility of submitting alternative trajectories to avoid congested airspace; and (c) the holistic integration of the demand and capacity management into the same optimisation problem. This new method is compared with...