DocumentCode :
1889633
Title :
Modeling of Ambient Intelligence Based on Information Fusion and Service Oriented Computing
Author :
Bin Li ; Yan, Xin-qing
Author_Institution :
Dept. of Econ. & Manage., Fujian Univ. of Technol., Fuzhou, China
fYear :
2010
fDate :
16-18 Dec. 2010
Firstpage :
1
Lastpage :
5
Abstract :
With the rapid development of modern manufacture and logistics systems, the monitoring, diagnosing, controlling, planning, scheduling and decision-making all are provided with of the increasing complexity and importance, which is also the hotspot and focus of the pertinent study. This paper integrates the ubiquitous computing (UC), information fusion (IF), service oriented computing (SOC) and virtual reality (VR) to model the ambient intelligence (AmI) that makes human beings, information systems, things and surroundings can be integrated into one, which makes people executive the tasks and services more effectively. The whole idea roots in computer integrated manufacturing system (CIMS) and computer supported collaborative work (CSCW) deeply. The holistic thinking is supposed to improve the production throughput and service level of complex systems, and presents a new way to the human-computer interaction and running of the kernel organization.
Keywords :
service-oriented architecture; CIMS; CSCW; IF; SOC; UC; VR; ambient intelligence modeling; computer integrated manufacturing system; computer supported collaborative work; human computer interaction; information fusion; information systems; logistics systems; manufacture systems; service oriented computing; ubiquitous computing; virtual reality; Ambient intelligence; Computational modeling; Decision making; Logistics; Service oriented architecture; Solid modeling; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Information Technologies and Applications (CUTE), 2010 Proceedings of the 5th International Conference on
Conference_Location :
Sanya
ISSN :
1976-0035
Print_ISBN :
978-1-4244-8813-1
Type :
conf
DOI :
10.1109/ICUT.2010.5677852
Filename :
5677852
Link To Document :
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