Project supported by the National Natural Science Foundation of China (Grant No. 60672095);the Fundamental Research Funds for the Central Universities of China (Grant No. KYZ201300);the Natural Science Foundation of Jiangsu Province, China (Grant No. BK2013000);the Youth Sci-Tech Innovation Fund of Nanjing Agricultural University, China (Grant No. KJ2010024)
In this paper, we propose an adaptive strategy based on the linear prediction of queue length to minimize congestion in Barabaisi-Albert (BA) scale-free networks. This strategy uses local knowledge of traffic condit...
Project supported by the National Natural Science Foundation of China (Grant No. 60672095);the Fundamental Research Funds for the Central Universities,China (Grant No. KYZ201300);the Youth Sci-Tech Innovation Fund of Nanjing Agricultural University, China (Grant No. KJ2010024)
We introduce a thermal flux-diffusing model for complex networks. Based on this model, we propose a physical method to detect the communities in the complex networks. The method allows us to obtain the temperature dis...
Supported by the National Natural Science Foundation of China (No. 60672095, 60972165, and 61071111);the National High Technology Project of China (No. 2007AA-11Z210);the Doctoral Fund of Ministry of Education of China (No. 20100092120012 and 20070286004);the Foundation of High Technology Project in Jiangsu Province;the Natural Science Foundation of Jiangsu Province (No.BK2010240)
In this paper, three robust zero-watermark algorithms named Direct Current coefficient RElationship (DC-RE), CUmulant combined Singular Value Decomposition (CU-SVD), and CUmulant combined Singular Value Decomposition ...