In this paper, we present a low power implementation of H.264 adaptive deblocking filter (DBF) algorithm on ARM Versatile / PB926EJ-S Development Board. The DBF hardware is implem...
In this paper, we present a framework that supports experimenting with evolutionary hardware design. We describe the framework’s modules for composing evolutionary optimizers an...
Since their invention in the 1980s, the logic density of FPGAs has increased exponentially with time. This increase of logic density first led to the development of synthesisable ...
Gildas Genest, Richard Chamberlain, Robin J. Bruce
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
This paper describes a new FPGA implementation of a system for evolutionary image filter design. Three parallel search algorithms are compared. An optimal mutation rate and the q...
Rapid-prototyping of commercial devices and the demanding requirements for flexible hardware in mobile applications have driven the raise of reconfigurable hardware. The adaptatio...
We describe a translation from Rebeca, an actorbased language, to mCRL2, a process algebra enhanced with data types. The main motivation is to exploit the verification tools and ...
Hossein Hojjat, Marjan Sirjani, Mohammad Reza Mous...
We study sensor minimization problems in the context of fault diagnosis. Fault diagnosis consists in synthesizing a diagnoser that observes a given plant and identifies faults in...
Today there are many process mining techniques that allow for the automatic construction of process models based on event logs. Unlike synthesis techniques (e.g., based on regions...