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Using 19 years of Chinese soil moisture data from 1981-1999, we evaluate soil moisture in three reanalysis outputs: ERA40, NCEP/NCAR reanalysis (R-1), and NCEP/DOE reanalysis 2 (R-2) over China. R-2 shows better interannual variability and seasonal patterns of soil moisture than R-1 as the result of incorporation of observed precipitation. ERA40 produces a(More)
In this paper a novel multiple access scheme, M-CSMA-RL, is proposed for secondary users which combines multichannel 1-persistent CSMA and reinforcement learning. The scheme effectively reduces the probability of packet collisions among primary and secondary users sharing common spectrum. Compared with multichannel CSMA without learning, the throughput and(More)
The study aimed to construct a risk prediction model for coronary artery disease (CAD) based on competing risk model among the elderly in Beijing and develop a user-friendly CAD risk score tool. We used competing risk model to evaluate the risk of developing a first CAD event. On the basis of the risk factors that were included in the competing risk model,(More)
In this paper, we present an Multi-Dimensional Learning multiple access control scheme for cognitive radio users in unlicensed spectrum. The proposed scheme is developed by applying reinforcement learning to the perspectives of both channel assignment and retransmission policy based upon a multichannel p-persistent CSMA algorithm. In a distributed open(More)
Image segmentation method based on improved graph cut algorithm is proposed in this paper to improve the speed of graph cut and solve the watershed transformation over-segmentation phenomena. First, the image is segmented into a large number of small partitions making use of the watershed transformation. Then, a simplified network graph is constructed using(More)
A distinctive new LMS algorithm is proposed in this paper. Both fast convergence rate and small steady state error can be obtained through non-linear weighting N errors of the current moment and past moments in this algorithm. The algorithm analyzed that the ideal step size is achieved by increasing the error information, building new nonlinear relations(More)