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Everything is alive: towards the future wisdom Web of things

Abstract:
The Everything is Alive (EiA) project at University of Arkansas is focused on pervasive computing. We consider that every physical object can be a living smart object and any services can be a living phenomenon. The goal of EiA is to make everything alive to make our lives revive with the objective to make use of all objects and services surrounding us to make our life better. Our project is goal-oriented, and the scope of this project is broad, encompassing Ubiquitous Intelligence, Cyber-Individual, Brain Informatics, and Web Intelligence. In this paper, we discuss how those technologies can be integrated together and fit into a seamless cycle like the one proposed in the Wisdom Web of Things (W2T). We also provide two case studies from our EiA project. The first case study is to demonstrate how a concept first tested in a virtual environment can be successfully implemented in the real world later when technological advances finally caught up. The data collection step and the ability to manually control smart objects of the W2T cycle are fulfilled in this step. The second case study is to show how the software simulator and hardware implementation are abstracted from the underlying algorithm, and thus, it serves as an example of how virtual worlds can be used as a test bed for W2T, especially with regards to the development of the remaining steps of the W2T cycle.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s11280-012-0182-4

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author
More by this author
Institution:
University of Arkansas
Department:
Department of Computer Science and Computer Engineering
Role:
Author
More by this author
Institution:
University of Arkansas
Department:
Department of Computer Science and Computer Engineering
Role:
Author


Publisher:
Springer Science+Business Media
Journal:
World Wide Web More from this journal
Volume:
16
Issue:
4
Pages:
357-378
Publication date:
2013-07-01
DOI:
EISSN:
1573-1413
ISSN:
1386-145X


Keywords:
Subjects:
Pubs id:
pubs:430765
UUID:
uuid:ddbe0e3c-5c82-41b3-b496-9430c44a4c16
Local pid:
pubs:430765
Source identifiers:
430765
Deposit date:
2013-11-16
ARK identifier:

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