Study on an Adaptive Task Assignment Method in Media Context Invention

机译：媒体上下文发明中的自适应任务分配方法研究

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In order to solve assignment problem in inventing mass media context and improve assignment efficiency and system stability, this paper analyzes the transition of Markov chain state and introduces a queues assignment model. The paper proposes an adaptive task assignment method suitable for mass media context invention by studying the key factors affecting system state transition. Experimental results show that system state transition is obviously speeded up while maintaining similar visual stability.

机译：为了解决发明大众传媒背景下的分配问题，提高分配效率和系统稳定性，本文分析了马尔可夫链状态的转变并引入了队列分配模型。通过研究影响系统状态转换的关键因素，提出了一种适合大众传媒背景发明的自适应任务分配方法。实验结果表明，在保持相似的视觉稳定性的同时，系统状态转换明显加快了。

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《Apperceiving Computing and Intelligence Analysis,ICACIA,2008 International Conference on》||P.117-120|共4页
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Shi Yi-Feng; Tan Hao; Ma Rong-Fang;
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中图分类工业技术;
关键词
Adaptive; Markov chain; media context invention; task assignment;

机译：自适应;马尔可夫链;媒体上下文发明;任务分配;

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8. Multi Robot Search for a Moving Target: Integrating World Modeling, Task Assignment and Context. [R] . Riccio, F., Borzi, E., Gemignani, G., 2016

机译：多机器人搜索移动目标：集成世界建模，任务分配和上下文。

Study on an Adaptive Task Assignment Method in Media Context Invention

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