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In multihop NGEO satellite network (MSN), given the un-uniform user distribution in satellite footprints, and further affected by topology variations and link capacity jitters, the inter-satellite links (ISLs) are expected to endure wildly volatile traffic load and even suffer from severe congestion. This leads to the poor quality of service (QoS) for the delay-sensitive flows. To alleviate this problem,...
Accurate and efficient clock synchronization algorithm is very important in Wireless Sensor Network (WSN). The existing researches focus on exploring communication delay impact on clock synchronization in wireless sensor network. Considering the physical characteristics of the sensor itself, an adaptive clock synchronization method based on Expectation-Maximization (EM) algorithm is proposed. A general...
According to the characteristics and requirements of the regenerated coal production process, taking into account the rough crusher facing complex working conditions, we designed the intelligent control systems of automatic detection and image-based comparison. Focused on the key technology of image comparison, we designed image pre-processing algorithm and comparison algorithm, to overcome the high...
The research on the problem of control and synchronization of the chaotic system would be carried out in the paper. Using the property of state estimated of state observe and self-learning ability of RBF, The adaptive and reliable controller combined RBF network with state observer was presented. At the same time, the condition of state error convergence as well as that of control and synchronization...
The problem of detection for small object descript by image would be investigated, and the faster detection algorithm based on the genetic algorithm and partial fractal dimension would be presented in this paper. The stability of the fractal dimension used in the small object detection and the real-time performance provided by multi-dot searching algorithm provided by genetic algorithm would be fully...
The available cases with actual classes are not enough for building telecom clientspsila credit classification model in practice, especially for the newly established system in which old customerspsila data do not exist. For evaluating telecom clientspsila credit, a classifier based on active learning is proposed in this paper. Active learning aims at reducing the number of training examples to be...
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