Abstract
The advent of IoT caused vigorous development of multiple services in diverse industry areas. Especially, smart home services have high accessibility than other services since they are based on everyday home appliances, so they gained special attention of application developers. Those services generate a large volume of data: it not only helps service providers to provide services more efficiently, but also helps them to guarantee Service Level Agreement (SLA) of those services. In this paper, we apply time dependency and usage continuity of daily appliances, and correlation between different services to model behavior patterns of service users and generate reliable synthetic data based on their real log data.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 226-229 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781509055104 |
| DOIs | |
| Publication status | Published - 2017 Mar 17 |
| Event | 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 - Las Vegas, United States Duration: 2016 Dec 15 → 2016 Dec 17 |
Other
| Other | 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 |
|---|---|
| Country | United States |
| City | Las Vegas |
| Period | 16/12/15 → 16/12/17 |
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Keywords
- data analysis
- IoT
- Smart home
- synthetic data generation
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Health Informatics
- Artificial Intelligence
- Computer Networks and Communications
Cite this
Elaborate synthetic data generation for internet of things services at smart home environment. / Myung, Rohyoung; Choi, Sungmin; Choi, Woosung; Yu, Heonchang; Lee, Daewon; Lee, Eunyoung.
Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 226-229 7881343.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Elaborate synthetic data generation for internet of things services at smart home environment
AU - Myung, Rohyoung
AU - Choi, Sungmin
AU - Choi, Woosung
AU - Yu, Heonchang
AU - Lee, Daewon
AU - Lee, Eunyoung
PY - 2017/3/17
Y1 - 2017/3/17
N2 - The advent of IoT caused vigorous development of multiple services in diverse industry areas. Especially, smart home services have high accessibility than other services since they are based on everyday home appliances, so they gained special attention of application developers. Those services generate a large volume of data: it not only helps service providers to provide services more efficiently, but also helps them to guarantee Service Level Agreement (SLA) of those services. In this paper, we apply time dependency and usage continuity of daily appliances, and correlation between different services to model behavior patterns of service users and generate reliable synthetic data based on their real log data.
AB - The advent of IoT caused vigorous development of multiple services in diverse industry areas. Especially, smart home services have high accessibility than other services since they are based on everyday home appliances, so they gained special attention of application developers. Those services generate a large volume of data: it not only helps service providers to provide services more efficiently, but also helps them to guarantee Service Level Agreement (SLA) of those services. In this paper, we apply time dependency and usage continuity of daily appliances, and correlation between different services to model behavior patterns of service users and generate reliable synthetic data based on their real log data.
KW - data analysis
KW - IoT
KW - Smart home
KW - synthetic data generation
UR - http://www.scopus.com/inward/record.url?scp=85017326961&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017326961&partnerID=8YFLogxK
U2 - 10.1109/CSCI.2016.0050
DO - 10.1109/CSCI.2016.0050
M3 - Conference contribution
AN - SCOPUS:85017326961
SP - 226
EP - 229
BT - Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -