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This paper presents a new single image dehazing algorithm using dark channels with global transmission. The existing algorithms using dark channels cannot deal well with the scene in which objects are inherently similar to the atmospheric light and no shadow is cast on them. In order to eliminate the limitation, we use the positive depth of field prior and the global dynamic template instead of local...
With IPv4 addresses quickly dwindling, the Internet is forcing an evolution of itself. During the long term transition from IPv4 to IPv6, what's going on in IPv6 world becomes unknown for network operators and researchers. In this paper, we propose a heuristic algorithm to identify p2p traffic accurately and implement traffic classification based on Netflow v9 exports to illustrate what applications...
The distributed optimal path planning (D-OPP) problem has been a bottleneck restricting the performance of Peer-to-Peer (P2P) workflow systems which have met the development trend of workflow systems and been one of the most important domains of Distributed computing. The essence of this problem is to solve the dynamical global optimization in local views without centralized mechanism. Aiming at this...
Taking the original intelligence optimization algorithm "plant growth simulation algorithm" (PGSA) " as a direct application, we propose the "pattern inter-domain mapping variation" methodology to knowledge innovation. We compare PGSA with genetic algorithm (GA) on distribution center location problem, and the result proves PGSA is superior to GA on accuracy. Analysis on theory...
A common simplifying assumption that there exists, at most, a single fault in the system at any given time does not hold for complex systems with large number of components or systems with little opportunity for maintenance during operation. By employing concepts from rough sets theory, information theory and heuristic search approach, a novel dynamic testing algorithm based on rough sets is presented...
Knowledge reduction is NP-hard problem. And many approaches are proposed to get the minimal reduction, which is mainly based on the significance of the attributes. There are some disadvantages of the reduction algorithms at present. In this paper, we propose a novel heuristic function based on the distribution of granularity and treat it as important metric information of attributes. In the view of...
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