TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Architecture Support for Context-aware Adaptation of Rich Sensing Smartphone Applications |
| 영문제목(English Title) |
Architecture Support for Context-aware Adaptation of Rich Sensing Smartphone Applications |
| 저자(Author) |
Zhaozong Meng
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| 원문수록처(Citation) |
VOL 12 NO. 01 PP. 0248 ~ 0268 (2018. 01) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The performance of smartphone applications are usually constrained in user interactions due to resource limitation and it promises great opportunities to improve the performance by exploring the smartphone built-in and embedded sensing techniques. However, heterogeneity in techniques, semantic gap between sensor data and usable context, and complexity of contextual situations keep the techniques from seamless integration. Relevant studies mainly focus on feasibility demonstration of emerging sensing techniques, which rarely address both general architectures and comprehensive technical solutions. Based on a proposed functional model, this investigation provides a general architecture to deal with the dynamic context for context-aware automation and decision support. In order to take advantage of the built-in sensors to improve the performance of mobile applications, an ontology-based method is employed for context modelling, linguistic variables are used for heterogeneous context presentation, and semantic distance-based rule matching is employed to customise functions to the contextual situations. A case study on mobile application authentication is conducted with smartphone built-in hardware modules. The results demonstrate the feasibility of the proposed solutions and their effectiveness in improving operational efficiency.
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| 키워드(Keyword) |
Mobile applications
context-awareness
function customisation
semantic distance
built-in sensors
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| 파일첨부 |
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