By Shlomo Mark, Shaul Mordechai, Editors
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Extra resources for Applications of Monte Carlo Method in Science and Engineering
Bugeiro (2009)) provides on-demand e-Health computational services (like tumor detection and radiotherapy planning) to Health organisations like clinics and hospitals. All services are provided by the Centro de Supercomputación de Galicia (CESGA), which is the customary provider. When CESGA is under peak demand, external resources are added for a limited time period5. This process is transparent for the end user, reducing execution time and increasing the QoS. The HOPE (HOspital Platform for E-health) platform6 was designed to enable GATE simulations in a grid environment.
Zhao, E. (2008). Manipulation on human red blood cells with femtosecond optical tweezers, Chin. Opt. Lett. 6(12): 919–921. 3 Enabling Grids for GATE Monte-Carlo Radiation Therapy Simulations with the GATE-Lab Sorina Camarasu-Pop1 , Tristan Glatard1 , Hugues Benoit-Cattin1 and David Sarrut2 1 Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1 2 Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1; Centre Léon Bérard France 1. Introduction Among radiation therapy simulation methods, Monte-Carlo approaches are known to be the most accurate but they are heavy to use because of their computing time.
The experimental setup of such a CT system would lead to an investment of expensive equipment. The other way is to virtually design and setup an air cargo scanning system in the Monte-Carlo simulation tool with parameters of real components and make the evaluation with simulations. The virtual setup can be seen in 15. With this virtual setup in the Monte-Carlo simulation it is possible to predict the expected image quality and recognizability of different materials and objects in an air cargo container together with the scanning times to be expected.