Computational Science – ICCS 2008: 8th International by Craig C. Douglas (auth.), Marian Bubak, Geert Dick van

By Craig C. Douglas (auth.), Marian Bubak, Geert Dick van Albada, Jack Dongarra, Peter M. A. Sloot (eds.)

The three-volume set LNCS 5101-5103 constitutes the refereed lawsuits of the eighth overseas convention on Computational technology, ICCS 2008, held in Krakow, Poland in June 2008.

The 167 revised papers of the most convention tune provided including the abstracts of seven keynote talks and the a hundred revised papers from 14 workshops have been conscientiously reviewed and chosen for inclusion within the 3 volumes.

The major convention song was once divided into nearly 20 parallel classes addressing themes akin to e-science functions and structures, scheduling and cargo balancing, software program prone and instruments, new and its purposes, desktop networks, simulation of complicated structures, photograph processing and visualization, optimization concepts, numerical linear algebra, and numerical algorithms. the second one quantity comprises workshop papers concerning a number of computational examine components, e.g.: special effects and geometric modeling, simulation of multiphysics multiscale structures, computational chemistry and its purposes, computational finance and company intelligence, actual, organic and social networks, geocomputation, and educating computational technology. The 3rd quantity is usually regarding desktop technology issues similar to bioinformatics' demanding situations to desktop technological know-how, instruments for application improvement and research in computational technology, software program engineering for large-scale computing, collaborative and cooperative environments, purposes of workflows in computational technology, in addition to clever brokers and evolvable systems.

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Additional resources for Computational Science – ICCS 2008: 8th International Conference, Kraków, Poland, June 23-25, 2008, Proceedings, Part III

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Bubak et al. ): ICCS 2008, Part III, LNCS 5103, pp. 6–15, 2008. c Springer-Verlag Berlin Heidelberg 2008 Evaluation of Measurement Techniques 7 running, the results are validated against streaming data from the cell phone network. Thus the validation technique must provide a method of discriminating between various simulations. In the context of the WIPER project, this means determining which crisis model is the best fit for the phenomenon detected in the streaming data. In this paper we will demonstrate a validation technique and evaluate the technique with several measures.

In this paper we show how the performance of the basic algorithm of the Group Method of Data Handling (GMDH) can be improved using Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). The new improved GMDH is then used to predict currency exchange rates: the US Dollar to the Euros. The performance of the hybrid GMDHs are compared with that of the conventional GMDH. Two performance measures, the root mean squared error and the mean absolute percentage errors show that the hybrid GMDH algorithm gives more accurate predictions than the conventional GMDH algorithm.

Our conclusions are given in Sect. 7. 2 Related Work The term symbiotic simulation was coined at the Dagstuhl Seminar on Grand Challenges for Modeling and Simulation in 2002 [6]. Symbiotic simulation is closely related to dynamic data-driven application systems (DDDAS). While DDDAS emphasises the symbiotic relationship between an application and a measurement process, symbiotic simulation rather focuses on the symbiotic relationship between a simulation and a physical system. However, symbiotic simulation is also dynamic data-driven and may use sensor steering to improve the accuracy of simulations.

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