Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...
Due to the increasing reliance of our society on the timely and reliable transfer of large quantities of information (suchas voice, data, and video)across high speed communication...
Stavros D. Nikolopoulos, Andreas Pitsillides, Davi...
This paper presents a new approach in realizing Virtual Channels tailored for Network on Chip implementations. The technique makes use of a flow control mechanism based on adaptiv...
Although several analytical models have been proposed in the literature for different interconnection networks with deterministic routing, very few of them have considered the eff...
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...