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The dynamic adaptive streaming technique flexibly adapts the video bit-rate to link fluctuations, which can improve the quality of experience (QoE). In this paper, we present a systematic framework of video streaming in the context of information-centric networking, in order to facilitate the large-scale deployment of the dynamic adaptive streaming technique. Specifically, we design the network as...
In this paper, we investigate the self-healing problem of mobile robot formation after some robots have been damaged, and present a gradient-based algorithm which enables mobile robots to restore the topology of the formation through local interactions among neighboring robots. Firstly, in order to optimize the repair path in a distributed manner, a gradient generation and diffusion mechanism is proposed...
A novel approach to estimate localizability for mobile robots is presented based on probabilistic grid map (PGM). Firstly, a static localizability matrix is proposed for off-line estimation over the priori PGM. Then a dynamic localizability matrix is proposed to deal with unexpected dynamic changes. These matrices describe both localizability index and localizability direction quantitatively. The...
Generating decision rules is one of the most important data mining areas which ldquorough set data analysis(RSDA)rdquo can address. Generally, for the same expression, the shorter the rules are, the more effectively the system performances. Considering of this, this paper provides a new heuristic algorithm named ldquoshort first extraction (SFE)rdquo based on the classical rough set theory, for rules...
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