Download Bio-Inspired Computing -- Theories and Applications: 10th by Maoguo Gong, Pan Linqiang, Song Tao, Ke Tang, Xingyi Zhang PDF

By Maoguo Gong, Pan Linqiang, Song Tao, Ke Tang, Xingyi Zhang

This ebook constitutes the complaints of the tenth foreign convention on Bio-Inspired Computing: Theories and purposes, BIC-TA 2015, held in Hefei, China, in September 2015.The sixty three revised complete papers provided have been rigorously reviewed and chosen from 182 submissions. The papers care for the next major subject matters: evolutionary computing, neural computing, DNA computing, and membrane computing.

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Additional resources for Bio-Inspired Computing -- Theories and Applications: 10th International Conference, BIC-TA 2015 Hefei, China, September 25-28, 2015, Proceedings

Example text

Um is the reliability of the use of the catalyst, and indicates the intensity of the reliability for the associated rules related to catalyst. The value of um is between [0, 1]. Where, the catalyst in basic membrane and the membrane which don’t include basic membrane is C[c1 , c2 , . . , cj ] to act on the j objects, and the value of um is 1. The catalyst in the membrane n that in the middle level is C[cn–(n+1) , cn–(n+1)–(n+2) , . . (k−1)–k ], / 1 ≤ n ≤ k, 1 ≤ k ≤ m, U [un–(n+1) , un–(n+1)–(n+2) , .

Sci. 87(1), 67–74 (2004) 4. : Analysis of gray scale watermark in RGB host using SVD and PSO. In: IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), pp. 1–7 (2014) 5. : SVD watermarking: particle swarm optimization of scaling factors to increase the quality of watermark. In: Proceedings of Fourth International Conference on Soft Computing for Problem Solving, pp. 205–214. Springer, India (2015) 6. : An SVD-based fragile watermarking scheme with grouped blocks.

To resolve the above problems, this paper proposes a D2D resource allocation algorithm based on fuzzy cluster grouping. This algorithm groups all D2D pairs in the system by fuzzy cluster grouping, which makes each D2D pair in the same group differentiated from others. Then considering the Qos requests of cellular user, assigns optimized radio resources of cellular user to each D2D group. Finally, the simulation results show that this algorithm can quickly allocate resources to D2D pairs and maximize the system throughput.

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