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Recently, multi-object particle PHD (MOP-PHD) filter was proposed and has been shown to outperform conventional GM-PHD filter. In this paper, we extend this filter for tracking maneuvering targets based on multiple model (MM) method. The performance of proposed filter shows a significant improvement in performance compared to multiple model Gaussian mixture PHD (MM-GM-PHD) filter.
Wind generation systems with variable frequency generators commonly utilize several power electronics converters. Using numerically efficient models for converters and electrical machines can decrease simulation time of wind farms. In this paper, a voltage-behind-reactance model is developed for a six-phase permanent magnet synchronous generator. Then, a multiresolution simulation methodology is presented...
To facilitate the utilization of FDA's adverse event reporting system (AERS) for data mining, we previously normalized AERS and aggregated related data into a data set (AERS-DM). In this paper, we aim to demonstrate the data mining potential of AERS-DM by profiling cancer drug ingredients. Findings suggest that the co-relationship may exist between adverse drug events (ADEs) and mechanism of action...
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