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This paper proposes a motion trajectory control method of underground intelligent scraper based on particle swarm optimization. The simulation model of whole system was established in simulink according to autonomous navigation bivariate PID control algorithm and scraper motion control model. The process of particle swarm optimization was designed based on MATLAB platform. The parameter optimization...
In Software Defined Networking (SDN), the configuration inconsistency during updates is one main source of network instability. An efficient updating scheme with configuration consistency is required. In this paper, we propose the scheme of Fast Incremental Consistent Update for SDN (FICUS) based on the relation graph (RG). In our scheme, we analyse the relation between update operations, construct...
Link flooding attack (LFA), as a new type of DDoS attack, can degrade or even cut off network connectivity of a target area. This attack employs legitimate, low-density flows to flood a group of selected links. Therefore, these malicious flows can hardly be distinguished by traditional schemes. In this paper, we propose a scheme called Woodpecker, which makes the LFA more difficult to take effect...
Localization of sensors is one core technique in wireless sensor networks (WSN). A localization algorithm (BHLA) based on hops for large-scale wireless sensor networks is presented in the paper. In the BHLA algorithm, nodes are divided into anchor nodes and unknown nodes. Unknown node can communicate with the anchor nodes which are covered in this unknown node' communication range. Firstly, the distance...
With the emerging of diverse applications, power-sensitive mobile devices are facing the severe challenge of computational stress. Many researchers propose the schemes of migrating the mobile devices' computational burden to their adjacent powerful cloud servers. In these schemes, the execution context as well as the program itself must be sent to the cloud. The transfer time is the key element affecting...
B-Spline curves are very flexible; it overcomes lots of shortcomings of Bezier curves. It is of great value in practical applications. This thesis is based on the approximate algorithm offered by literature [1]. In this paper, we promote the algorithm in literature [1] to the cubic B-Spline curve approximate fields which is based on the double quadratic B-Spline curves. With this paper's algorithm,...
This paper studied the accelerating convergence of the vector sequences generated by BP algorithm with vector epsilon algorithm, and presented the conclusion that the algorithms is not only convergent but also accelerated. Finally, we tested them for three classical artificial neural network problems. By numerical experiments, results shown that can reduce CPU time for computation and improve the...
In order to precisely procure the Chinese person information on the web, especially distinguish from the namesake, this paper propose a clustering algorithm based on latent semantic model. It establishes for every document a latent semantic model of sentence-word matrix based on central distance, central segment, document length, etc, by building the central word library of person attributes. It clusters...
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