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249 results

A method for electric load data verification and repair in home environment

Journal Article
Liu, Q., Li, S., Liu, X., & Linge, N. (2018)
A method for electric load data verification and repair in home environment. International Journal of Embedded Systems, 10(3), 248-256. https://doi.org/10.1504/ijes.2018.091788
Home energy management (HEM) and smart home have been popular among people; HEM collects and analyses the electric load data to make the power use safe, reliable, economical, ...

Non-intrusive load monitoring and its challenges in a NILM system framework

Journal Article
Liu, Q., Lu, M., Liu, X., & Linge, N. (2019)
Non-intrusive load monitoring and its challenges in a NILM system framework. International Journal of High Performance Computing and Networking, 14(1), 102-111. https://doi.org/10.1504/IJHPCN.2019.099748
With the increasing of energy demand and electricity price, researchers gain more and more interest among the residential load monitoring. In order to feed back the individual...

Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models

Journal Article
Liu, Q., Kamoto, K. M., Liu, X., Sun, M., & Linge, N. (2019)
Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models. IEEE Transactions on Consumer Electronics, 65(1), 1-1. doi:10.1109/tce.2019.2891160
Awareness of electric energy usage has both societal and economic benefits, which include reduced energy bills and stress on non-renewable energy sources. In recent years, the...

Impact of cyberattacks on stock performance: a comparative study

Journal Article
Tweneboah-Kodua, S., Atsu, F., & Buchanan, W. (2018)
Impact of cyberattacks on stock performance: a comparative study. Information and Computer Security, 26(5), 637-652. doi:10.1108/ics-05-2018-0060
The study uses cyberattacks announcements on 96 firms that are listed on S&P 500 over the period January 03, 2013 and December 29, 2017. The empirical analysis was performed i...

Getting in, getting on: fragility in student and graduate identity

Journal Article
Smith, S., Sobolewska, E., & Hunter, D. (2019)
Getting in, getting on: fragility in student and graduate identity. Higher Education Research and Development, 38(5), 1046-1060. https://doi.org/10.1080/07294360.2019.1612857
Over a period of three years this longitudinal study explored new approaches to consider student identity during the transition from university to employment. Students were fo...

The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers

Journal Article
Stapleton, G., Chapman, P., Rodgers, P., Touloumis, A., Blake, A., & Delaney, A. (2019)
The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers. PLOS ONE, 14(3), https://doi.org/10.1371/journal.pone.0211234
This paper presents the first empirical investigation that compares Euler and linear diagrams when they are used to represent set cardinality. A common approach is to use area...

ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System

Journal Article
Javaid, S., Afzal, H., Babar, M., Arif, F., Tan, Z., & Jan, M. A. (2019)
ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System. IEEE Access, 1-1. https://doi.org/10.1109/access.2019.2897095
Putting trust in the world of the Internet of Things, where served and serving entities are often unknown, is very hard especially when personal and business information is of...

A Review on Deep Learning Approaches to Image Classification and Object Segmentation

Journal Article
Wu, H., Liu, Q., & Liu, X. (2019)
A Review on Deep Learning Approaches to Image Classification and Object Segmentation. Computers, Materials & Continua, 60(2), 575-597. https://doi.org/10.32604/cmc.2019.03595
Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent years. Pr...

Top 10 Blockchain Predictions for the (Near) Future of Healthcare

Journal Article
Halamka, J. D., Alterovitz, G., Buchanan, W. J., Cenaj, T., Clauson, K. A., Dhillon, V., …Ngo, A. L. (2019)
Top 10 Blockchain Predictions for the (Near) Future of Healthcare. Blockchain in Healthcare Today, 2, doi:10.30953/bhty.v2.106
To review blockchain lessons learned in 2018 and near-future predictions for blockchain in healthcare, Blockchain in Healthcare Today (BHTY) asked the world's blockchain in he...

Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop

Journal Article
Babar, M., Arif, F., Jan, M. A., Tan, Z., & Khan, F. (2019)
Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop. Future Generation Computer Systems, 96, 398-409. https://doi.org/10.1016/j.future.2019.02.035
The unbroken amplfi cation of a versatile urban setup is challenged by huge Big Data processing. Understanding the voluminous data generated in a smart urban environment for d...