We study vaccine control for disease spread on an adaptive network modeling disease avoidance behavior. Control is implemented by adding Poisson-distributed vaccination of susceptibles. We show that vaccine control is much more effective in adaptive networks than in static networks due to feedback interaction between the adaptive network rewiring and the vaccine application. When compared to ex...

This paper deals with the driving environment perception of cybercars from a vision system. The planification of the trajectory for an Autonomous Guided Vehicle requires to robustly segment the free space around the vehicle to manage an obstacle avoidance task. Opposite to the highways conditions, the urban environment still remains as the most complex environment due to the static scene can no...

Steady states of alternating-current (AC) circuits have been studied in considerable detail. In 1982, Baillieul and Byrnes derived an upper bound on the number of steady states in a loss-less AC circuit [IEEE TCAS, 29(11): 724–737] and conjectured that this bound holds for AC circuits in general. We prove this is indeed the case, among other results, by studying a certain multi-homogeneous stru...

The present research tackles two main areas of financial mismanagement, namely avoiding debt-related information and underestimating expenditure. We draw upon research which has shown that inviting people to think about reasons for avoiding something actually serves to reduce the likelihood that they will then avoid it, and potentially improves what they know about it. Therefore, in three studi...