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Firstly, according to the Hadoop platform the novel data-analysis architecture is designed, then the paper builds the Item-based clustering collaborative filtering algorithm based on Hadoop. And it takes advantage of the MapReduce parallel programming model to improve the traditional collaborative filtering recommendation algorithm, and resolves the problems of poor system performance of traditional...
Overlapped frequency division multiplexing (OVFDM) systems can obtain high spectral efficiency (SE), which is proportional to the constraint length. However, high decoding complexity imposes the main challenge on OVFDM systems. This paper proposes a low-complexity sliding window (SW) block decoding algorithm for OVFDM systems, where data symbols are estimated based on the reception of a SW instead...
Address auto-configuration is a key problem in data center networks, where servers and switches encode topology information into their addresses for routing. A recent work DAC [2] has been introduced to address this problem. Without malfunctions, DAC can auto-configure all the devices quickly. But in case of malfunctions, DAC requires significant human efforts to correct malfunctions and it can cause...
Probability hypothesis density (PHD) filter is a new practical method to solve the unknown time-varying multi-target tracking problem. Particle filter implementation of the PHD filter has demonstrated a feasible suboptimal method for tracking multi-target in real-time. To obtain the target states, the peak-extraction from the posterior PHD particles needs to be implemented. A new state estimation...
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