A Rule-based Service Customization Strategy for Smart Home Context-Aware Automation
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 7
- Type
- D - Journal article
- DOI
-
10.1109/TMC.2015.2424427
- Title of journal
- IEEE Transactions on Mobile Computing
- Article number
- 7097069
- First page
- 558
- Volume
- 15
- Issue
- 3
- ISSN
- 1536-1233
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 21
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in an ERA2010 A*, Scimago Q1 journal, this research synthesises a range of technologies to leverage big data in the smart home area. The research was a product of Lu's EU grant DONE-IT(511485-LLP-1-2010-NO-KA3-KA3MP), and influenced several developments including Lu's involvement in the award of an Erasmus+ grant HRLAW: http://xdir.hud.ac.uk/hrlaw/, and the first author Z.Meng's subsequent work in the EU PickNPack project (project code: 311987) as cited and described in paper "A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications" DOI: 10.1109/JIOT.2016.2646375.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -