AN ADAPTIVE PREDICTION OF AIRCRAFT MOTION WITH THE ELEMENTS OF VIRTUAL REALITY
DOI:
https://doi.org/10.18372/1990-5548.53.12141Keywords:
Graphics processing unit, multi-threaded, object state, adaptive motion control, wavelet analysis, replication, parallel computing.Abstract
The problem of adaptive method for predicting the aircraft state, which, by the dynamics control of the object, allows to reduce the load on the distributed network of virtual reality (with data consistency), while improving the accuracy of prediction the objects state, has been considered. The high-level protocol interaction approach let to organize interprocess communication network at a higher logical level, with less network loading, by supporting variable-length messaging and built-in mechanism the data replication control based on the principle “the election of consistency”. Method develops to reach better the prediction of the object rotation and trajectory motion correction of the aircraft.References
W. Сai, “An auto-adaptive dead reckoning algrithm for distributed interactive simulation,” Proceedings of the Thirteenth Workshop on Parallel and Distributed Simulation, 1999, pp. 82–89.
T.P. Duncan and D. Gracanin, “Pre-reckoning algo-rithm for distributed virtual environments,” Proceed-ings of the 2003 Winter Simulation Conference. IEEE Press, U.S.A., 2003, pp. 1086–1093.
S. Singhal, M. Zyda, “Networked Virtual Environ-ments: Design and Implementation,” USA, Addison Wesley, 2008.
K. Mieloszyk, B. Wiszniewski, “Component Based Flight Simulation in DIS Systems,” Distributed and Parallel Systems, Springer, Netherlands, vol. 777, 2005, pp. 173–181.
B. Miranda, “A taxonomy for the design and evalua-tion of Networked Virtual Environments: its applica-tion to collaborative design,” International Journal on Interactive Design and Manufacturing, Springer Paris, 2011, pp. 1–66.
Parallel computing CUDA. [Online]. – Available:http://www.nvidia.com.ua/object/cuda-parallel-computing-ru.html.
Andrew Kerr, Gregory Diamos, and Sudhakar Yala-manchili, “A Characterization and Analysis of PTX Kernels,” Georgia Institute of Technology, Atlanta, Georgia, 2013, pp. 1–10.
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