3-D reconstruction in Nuclear Medicine imaging using complete Monte-Carlo simulation of trajectories usually requires high computing power. We are currently developing a Parisian Evolution Strategy in order to reduce the computing cost of reconstruction without degrading the quality of results. Our approach derives from the Fly algorithm which proved successful on real-time stereo image sequenc...

IEEE 802.15.4 Low Rate Wireless Personal Area Network (LR-WPAN) is developed for emerging applications for industrial automation, home networking, wireless sensor networks, etc. In this paper, we propose a new scheme to enhance IEEE 802.15.4 in order to enable the fast delivery of packets, which announce the emergent situations or events of the network. With the parameter tuning of the legacy I...

Click models have become an essential tool for understanding user behavior on a search engine result page, running simulated experiments and predicting relevance. Dozens of click models have been proposed, all aiming to tackle problems stemming from the complexity of user behavior or of contemporary result pages. Many models have been evaluated using proprietary data, hence the results are hard...

Sonoluminescence is the phenomena of light emission from a collapsing gas bubble in a liquid. Theoretical explanations of this extreme energy focusing are controversial and difficult to validate experimentally. We propose to use molecular dynamics simulations of the collapsing gas bubble to clarify the energy focusing mechanism, and provide insight into the mechanism of light emission. In this ...

This paper compares three heuristic search algorithms: genetic algorithm (GA), simulated annealing (SA) and tabu search (TS), for hardware-software partitioning. The algorithms operate on functional blocks for designs represented as directed acyclic graphs, with the objective of minimising processing time under various hardware area constraints. The comparison involves a model for calculating p...

Parallel algorithms developed for CAD problems today suuer from three important drawbacks. First, they are machine speciic and tend to perform poorly on architectures other than the one for which they were designed. Second, they cannot use the latest advances in improved versions of the sequential algorithms for solving the problem. Third, the quality of results degrade signiicantly during para...

Sequential analysis of output data during stochastic discrete-event simulation is a very effective practical way of controlling statistical errors of final simulation results. Such stochastic sequential simulation evolves along a sequence of consecutive checkpoints at which the accuracy of estimates, usually conveniently measured by the relative statistical error, defined as the ratio of the ha...

Vehicle collisions are complex processes which are determined by a large number of different parameters. The development of computer programs for simulation has made the collision analysis and reconstruction procedure easier, as well as the possibility to realise the influences of different parameters on collision processes, which was not possible while using classical methods. The quality of r...