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In this paper, we propose an efficient data-driven particle probability hypothesis density (PHD) filter for real-time multitarget tracking of nonlinear/non-Gaussian system in dense clutter environment. In specific, the input measurements are first classified into two sets, namely survival measurements and spontaneous birth measurements, after eliminating(More)
The synchronization performance of the Pecora-Carroll scheme and the error feedback scheme was investigated for two coupled chaotic Colpitts circuits. Both the mathematical derivation and numeric simulations indicate that the error feedback synchronization scheme outperforms the Pecora-Carroll synchronization scheme when the chaotic signal is transmitted(More)
The separation of acidic and basic proteins using CE has been limited in part due to the adsorption of proteins onto the capillary wall. In this work, the efficient control of EOF and the simultaneous separation of acidic and basic proteins are achieved by use of C18-4-C18PB as a dynamic coating additive, which is a representative surfactant for(More)
—In recent years, particle probability hypothesis density (PHD) filtering has become an active research topic for multiple targets tracking in dense clutter scenarios. However, it is highly required to improve the real-time performance of particle PHD filtering because it is a kind of Monte Carlo approach and the computational complexity is very high. One(More)
The increasing demands for improving transmission reliability and efficiency have brought us a wide interest in smart grid. In current smart grid research, one of challenges is its security issue. If the security is not well addressed, the concept of smart grid cannot be widely accepted. In this paper, in order to simultaneously resolve the security and(More)
—Smart grid, as the next generation of power grid characterized by " two-way " communications, has been paid great attention to realizing green, reliable, and efficient electricity delivery for our future lives. In order to support the two-way communications in smart grid, a large number of smart meters (SMs) should be deployed to customers to report their(More)
In this paper, we propose a privacy-preserving framework, called PLAM, for local-area mobile social networks. The proposed PLAM framework employs a privacy-preserving request aggregation protocol with k-Anonymity and l-Diversity properties while without involving a trusted anonymizer server to keep user preference privacy when querying location-based(More)
This paper proposes a novel anonymous coordination authentication scenario for grid computing security based on trusted computing technology, which can provide efficient and reliable anonymous identity authentication and remote platform attestation for grid computing systems. The scenario gives a method of tagging the rogue grid entities. Architecture of(More)