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In the context of the post financial crisis, the steel trading and export become more difficult, the steel enterprises attention is attracted to the steel logistics. This paper analyzes the problems in steel logistics system development, and then proposes some measures to optimize the steel logistics system based on supply chain. These will enable the logistics to be the third profit source of the...
The bottom following control problem of an underactuated autonomous underwater vehicle (AUV) was addressed in this paper. In order to deal with the parameter variations and uncertainties due to time-varying hydrodynamic damps, the RBF neural network (NN) was introduced to estimate unknown terms where an adaptive law was chosen to guarantee optimal estimation of the weight of NN. Based on the Lyapunov...
The numbers of deployed computational servers in datacenters are becoming larger and larger driven by growing processing requirements, which poses a new challenge to software deployment due to the large amount of nodes involved in the deployment process. Consequently, traditional approach software deployment can not scale well because of their time-consumption properties. In order to solve this problem...
QoS (Quality of Service) guarantee has emerged as one of the most important technologies for the grid computing. Because the existing QoS control systems focus on designing independent executive management system, some problems still remain to be addressed, including low efficiency, bad scalability, and inadequate QoS automatic control. To address the above problems, this paper presents a novel SLA-driven...
Prematurity is a troublesome problem that has to be faced and got rid of by many optimization algorithms, especially the Particle Swarm Optimization (PSO). To combat with prematurity, this paper proposes a self-adaptive casting net mechanism that is able to search global fitness efficiently. To keep diversity of particles, the self-adaptive casting net mechanism tunes parameters dynamically according...
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