Abstract—Power dissipation has constrained the performance boosting of modern computer systems in the past decade. Dynamic power management has been widely applied to change the ...
Kai Huang, Luca Santinelli, Jian-Jia Chen, Lothar ...
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
· Modelling the fundamental performance limits of Wireless Sensor Networks (WSNs) is of paramount importance to understand the behaviour of WSN under worst-case conditions and to...
Nowadays, systems often integrate a variety of applications whose service requirements are heterogeneous. Consequently, systems must be able to concurrently serve applications whi...
Haptic interactions with stiff virtual surfaces feel more realistic when a short-duration transient is added to the spring force at contact. But how should this event-based transi...