Advanced Materials Research Vols. 268-270

Paper Title Page

Abstract: The article studies the methods of processing bus real-time information (GPS data) and calculating the temporal indexes for decision making in bus dispatching. The kalman filter algorithm is used to predict the bus arrival time. The result shows the prediction error is within 1.3 minutes and the precision is 71% by calculating the real-time information of Beijing bus intelligent transportation system.
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Abstract: Data distribution is the basic behavior of P2P applications ( le sharing and stream- ing service) and it is a key element a ecting the performance of P2P systems. However, there are few research works that focus on data distribution of P2P applications from the view of whole system. In this paper we study the data distribution in P2P applications in terms of de- creasing the system distribution load. We de ne the distribution load of P2P systems formally and analyze how to decrease the system load quickly by means of mathematical analysis. More- over, we give a feasible fast distribution algorithm according to our theoretic conclusion. The experimental results show that our algorithm has signi cant improvement on data distribution speed and load balance.
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Abstract: This document demonstrates the finite difference solutions of the Chemotaxis biological model by the finite difference method. Then we establish the convergence and stability of the finite difference solutions by a priori estimations. At last, the numerical results are given.
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Abstract: An efficient data association algorithm is presented to track a single target with multiple centralized heterogeneous sensors. The sharing parts of measurements from different sensors are used to accomplish the data association, which utilizes the 2 test match combined with Nearest Neighbor association strategy to depress the dummy measurements. Targetoriginated measurement matched pair will be retained and fused to update the target track. Unscented kalman filter is deployed to target state estimation for both the dynamic and measurement model are nonlinear. Simulations validate the algorithm and conclusions.
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