We present an approach to partitioning and mapping for multicluster embedded systems consisting of time-triggered and eventtriggered clusters, interconnected via gateways. We have...
Paul Pop, Petru Eles, Zebo Peng, Viacheslav Izosim...
Some fast nearest neighbor search (NNS) algorithms using metric properties have appeared in the last years for reducing computational cost. Depending on the structure used to store...
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Abstract. In this paper we propose an architecture design methodology to optimize the throughput of MD4-based hash algorithms. The proposed methodology includes an iteration bound ...
We describe a clustering algorithm based on continuous Hidden Markov Models (HMM) to automatically classify both electrocardiogram (ECG) and intracranial pressure (ICP) beats base...