A fundamental requirement for autonomic computing is to be able to automatically infer how human users react in similar contextual conditions. This paper examines the problem of a...
Nearchos Paspallis, Konstantinos Kakousis, George ...
ALPS is a per-application user-level proportional-share scheduler that operates with low overhead and without any special kernel support. ALPS is useful to a range of applications...
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
Due to the long propagation delay and high error rate of acoustic channels, it is very challenging to provide reliable data transfer for time-critical applications in an energy-ef...
— This paper presents a new technique for the update of a probabilistic spatial occupancy grid map using a forward sensor model. Unlike currently popular inverse sensor models, f...
Kaustubh Pathak, Andreas Birk 0002, Jann Poppinga,...