| 1. |
- Aydt, H., et al.
(author)
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Symbiotic simulation model validation for radiation detection applications
- 2009
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In: PADS '09. ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation, 2009. - : IEEE Computer Society. - 9780769537139 ; , s. 11-18
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Conference paper (peer-reviewed)abstract
- Detection of radiological dispersal devices (RDDs) is important because of their potential for destruction and psychological impact on the affected population. These devices leave a clear trace which can be followed when using appropriate detection devices. Geiger counter devices provide data regarding the radiation intensity. However, this is not enough information to pinpoint a radiation source. Neither can this information be directly used to classify the radiation source. We describe a method using symbiotic simulation which can be used to classify and localise a radiation source given accurate measurements of radiation intensities at reference points and a detailed model of the environment. Initial classification and localisation, as well as continuous tracking of a moving radiation source, is considered. The effects of a measurement error and a model error are investigated.
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| 2. |
- Ta, D. N. B., et al.
(author)
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Efficient zone mapping algorithms for distributed virtual environments
- 2009
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In: PADS 2009. - 9780769537139 ; , s. 137-144
-
Conference paper (peer-reviewed)abstract
- This paper deals with the zone mapping problem in large-scale distributed virtual environments (DVEs), e.g., massively multi-player online games, distributed military simulations, etc. To support such large-scale DVEs with real-time interactions among thousands of concurrent, geographically separated clients, a distributed server infrastructure is generally needed, and the virtual world can be partitioned into several distinct zones to distribute the load among the servers. The NP-hard zone mapping problem concerns how to assign the zones of the virtual world to a number of distributed servers to improve interactivity. In this paper, we propose new zone mapping algorithms based on a Linear Programming relaxation of the original problem and meta-heuristics such as local search and evolutionary optimization techniques. We conducted extensive experiments with realistic Internet latency models obtained from real measurements using millions of pairs of geographically distributed IP addresses. The results have shown that our newly proposed algorithms significantly improved the performance of large-scale DVEs in terms of overall interactivity, when compared with existing mechanisms.
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