An improved cooperative tracking model is proposed, which is based on the local information between mutually observable individuals with global object information, and this model is used for scalable social foraging s...An improved cooperative tracking model is proposed, which is based on the local information between mutually observable individuals with global object information, and this model is used for scalable social foraging swarm. In this model, the 'follower' individuals in the swarm take the center of the minimal circumcircle decided by the neighbors in the positive visual set of individual as its local object position. We study the stability properties of cooperative tracking behavior of social foraging swarm based on Lyapunov stability theory. Simulations show that the stable cooperative tracking behavior of the global social foraging swarm can be achieved easily, and beautiful scalability emerge from the proposed model for social foraging swarm.展开更多
MPEG-4 fine-granularity-scalable (FGS) technology is an effective solution to resolve the network bandwidth varying because FGS provides very fine granular SNR scalability. However, this scalability is obtained with s...MPEG-4 fine-granularity-scalable (FGS) technology is an effective solution to resolve the network bandwidth varying because FGS provides very fine granular SNR scalability. However, this scalability is obtained with sacrifice of coding efficiency. An one-loop FGS structure is presented based on motion compensation (MC+FGS) to improve the coding efficiency of base FGS. Then it describes and discusses the hybrid spatial-SNR FGS (FGSS) structure that extends SNR scalability of FGS to spatial scalability (spatio-SNR scalability). FGSS structure inherent the low coding efficiency of FGS structure. Combining MC+FGS structure with FGSS structure, a structure of MC+FGSS structure is obtained which acquires both structures’ advantages and counteracts both structures’ defects. Experimental results prove the MC+FGSS structure not only obtains fine granular spatio-SNR scalability, but also achieves high coding efficiency.展开更多
基金Supported by National Natural Science Foundation of P. R. China (60274014)
文摘An improved cooperative tracking model is proposed, which is based on the local information between mutually observable individuals with global object information, and this model is used for scalable social foraging swarm. In this model, the 'follower' individuals in the swarm take the center of the minimal circumcircle decided by the neighbors in the positive visual set of individual as its local object position. We study the stability properties of cooperative tracking behavior of social foraging swarm based on Lyapunov stability theory. Simulations show that the stable cooperative tracking behavior of the global social foraging swarm can be achieved easily, and beautiful scalability emerge from the proposed model for social foraging swarm.
文摘MPEG-4 fine-granularity-scalable (FGS) technology is an effective solution to resolve the network bandwidth varying because FGS provides very fine granular SNR scalability. However, this scalability is obtained with sacrifice of coding efficiency. An one-loop FGS structure is presented based on motion compensation (MC+FGS) to improve the coding efficiency of base FGS. Then it describes and discusses the hybrid spatial-SNR FGS (FGSS) structure that extends SNR scalability of FGS to spatial scalability (spatio-SNR scalability). FGSS structure inherent the low coding efficiency of FGS structure. Combining MC+FGS structure with FGSS structure, a structure of MC+FGSS structure is obtained which acquires both structures’ advantages and counteracts both structures’ defects. Experimental results prove the MC+FGSS structure not only obtains fine granular spatio-SNR scalability, but also achieves high coding efficiency.
