Title :
Research on the Fusion Method of the Distributional Auto-adapted Dynamic Data in Smart Space
Author_Institution :
Sch. of Comput. Sci., Yangtze Univ. Jingzhou, Jingzhou, China
Abstract :
In the paper, we first introduced the basic concepts of the intelligent space and the multi-sensor data fusion and the data fusion architecture. Based on the introduction, we indicated the survey model and method of the distributional structure and discussed the method to infer the measured data scope and to define the optimal scope in data fusion with distributed architecture in detail.
Keywords :
distributed processing; human computer interaction; sensor fusion; auto-adapted dynamic data; distributed architecture; distributional structure; intelligent space; multi-sensor data fusion; smart space; Artificial intelligence; Data models; Distributed databases; Intelligent sensors; Measurement uncertainty; Position measurement; Time measurement; Intelligent space; data fusion; distributional; dynamic;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
DOI :
10.1109/ICGEC.2010.215
