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인공지능대학
컴퓨터공학과
Journal papers
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Security based semantic context awareness system for M2M ubiquitous healthcare service
Title
Security based semantic context awareness system for M2M ubiquitous healthcare service
Authors
Choi Y.
;
Doh I.
;
Park S.-S.
;
Chae K.-J.
Ewha Authors
박승수
;
채기준
;
도인실
SCOPUS Author ID
박승수
; 채기준
; 도인실
Issue Date
2013
Journal Title
Lecture Notes in Electrical Engineering
ISSN
1876-1100
Citation
Lecture Notes in Electrical Engineering vol. 214 LNEE, pp. 187 - 196
Indexed
SCOPUS
Document Type
Conference Paper
Abstract
The data and information from heterogeneous embedded devices lead to security and communication problems in M2M environment. Even under the situation where the low-level information causes interoperability problems, these devices should be able to communicate with each other in safe, efficient and right manner without the help of server or human intervention. In this paper, we propose a security based context aware U-healthcare system based on user authentication and data aggregation. Our system can support medical decision-making and inferences using Knowledge Machine (KM), which is a mature knowledge representation language. We design and implement frame-based ontology and rules for semantic reasoning using LISP+KM combination. We especially describe the context query, and then show the progress made towards proper and reasonable inference and prediction. In experiments, we showed the feasibility of our proposed system by adding intentional abnormal/informal situation data. © 2013 Springer Science+Business Media.
DOI
10.1007/978-94-007-5857-5_20
ISBN
9789400758568
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