A context-aware system in Internet of Things using modular Bayesiannetworks

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/473534.do
DOI
10.1177/1550147717708986
Title
A context-aware system in Internet of Things using modular Bayesiannetworks
Description
The author(s) disclosed receipt of the following financial support forthe research, authorship, and/or publication of this article: This workwas supported by Institute for Information & Communications TechnologyPromotion (IITP) grant funded by the Korea government (MSIP)(R0124-16-0002, Emotional Intelligence Technology to Infer Human Emotionand Carry on Dialogue Accordingly).
abstract
Recently, the concept of Internet of Things has widely proliferated to offer advanced connectivity between devices, systems, and services that continuously obtain enormous amounts of data from sensors. Recognizing context from the sensor data plays a crucial role in adding value to the raw sensor data. In this article, we propose a context-aware system through device-oriented modeling for the Internet of Things using modular Bayesian networks based on our previous study. A Bayesian network can handle flexibly the uncertain environments of frequent changes in device configuration, and the proposed system can enable us to adjust to the changing Internet of Things environment, making it more flexible. The main contribution of the article lies in the realization of the modular context-aware system with device-oriented modeling of Bayesian networks in smart home and the verification of the usability through a subjective test with 116 people. In addition, we evaluate the performance of the proposed system and show the reduction of time complexity using the real data. Compared to other methods such as decision tree and monolithic Bayesian network, the performance improvement is statistically significant according to t-test.
provenance
Made available in Cube on 2018-09-28T10:22:12Z (GMT). No. of bitstreams: 0
language
English
author
Yang, K.
Cho, Sung-Bae
accessioned
2018-09-28T10:22:12Z
available
2018-09-28T10:22:12Z
issued
2017
citation
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS(13): 5
issn
1550-1477
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/473534.do
Funder
미래창조과학부
Funding Program
첨단융복합콘텐츠기술개발
Project ID
1711045126
Jurisdiction
Rep.of Korea
Project Name
Emotional Intelligence Technology to Infer Human Emotion and Carry on Dialogue Accordingly
rights
openAccess
subject
Context-aware services
modular Bayesian networks
Internet of Things
smart TV
type
article


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