A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings
Journal Article
Liu, Q., Nakoty, F. M., Wu, X., Anaadumba, R., Liu, X., Zhang, Y., & Qi, L. (2020)
A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings. Computer Communications, 162, 187-195. https://doi.org/10.1016/j.comcom.2020.08.024
Compared to Intrusive Load Monitoring which uses smart power meters at each level to be monitored, Non-Intrusive Load Monitoring (NILM) is an ingenious way that relies on sign...
PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism
Journal Article
Chen, J., Chen, K., Wang, G., Wu, L., Liu, X., & Wei, G. (2019)
PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism. International Journal of Environmental Research and Public Health, 16(7), 1-21. https://doi.org/10.3390/ijerph16071159
In this paper, a vector autoregression (VAR) model has been constructed in order to analyze a two-way mechanism between PM2.5 pollution and industry development in Beijing via...
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018)
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), 1-12. https://doi.org/10.1038/s41467-018-04316-3
Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from ...
Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks
Journal Article
Liu, Q., Zhang, J., Liu, X., Zhang, Y., Xu, X., Khosravi, M., & Bilal, M. (2022)
Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks. Physical Communication, 51, Article 101584. https://doi.org/10.1016/j.phycom.2021.101584
The intensification of the greenhouse effect is driving the implementation of energy saving and emission reduction policies, which lead to a wide variety of energy saving solu...
Visual Exploration of Alternative Taxonomies through Concepts
Journal Article
Graham, M., & Kennedy, J. (2007)
Visual Exploration of Alternative Taxonomies through Concepts. Ecological Informatics, 2, 248-261. https://doi.org/10.1016/j.ecoinf.2007.07.004
A graphical user interface is presented that allows users of taxonomic data to explore concept relationships between conflicting but related taxonomic classifications.
Ecolog...
A survey on rainfall forecasting using artificial neural network
Journal Article
Liu, Q., Zou, Y., Liu, X., & Linge, N. (2019)
A survey on rainfall forecasting using artificial neural network. International Journal of Embedded Systems, 11(2), 240-249. https://doi.org/10.1504/ijes.2018.10016095
Rainfall has a great impact on agriculture and people’s daily travel, so accurate prediction of precipitation is well worth studying for researchers. Traditional methods like ...
An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules
Journal Article
Habibullah, S., Liu, X., & Tan, Z. (2018)
An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules. International Journal of Computer Theory and Engineering, 10(5), 164-169. https://doi.org/10.7763/ijcte.2018.v10.1219
Evolving legacy enterprise systems into a lean system architecture has been on the agendas of many enterprises. Recent advance in legacy system evaluation is in favour of micr...
Evolution pattern verification for services evolution in clouds with model driven architecture.
Journal Article
Wang, Z., Chalmers, K., & Liu, X. (2013)
Evolution pattern verification for services evolution in clouds with model driven architecture. International Journal for e-Learning Security, 3, 340-349. https://doi.org/10.20533/ijels.2046.4568.2013.0042
In this paper we will provide some discovered evolution patterns and its detailed underlying constitution components. Following the featured orientated model driven product ...
Alting barriers: synchronisation with choice in Java using JCSP
Journal Article
Welch, P., Brown, N., Moores, J., Chalmers, K., & Sputh, B. (2010)
Alting barriers: synchronisation with choice in Java using JCSP. Concurrency and Computation: Practice and Experience, 22(8), 1049-1062. https://doi.org/10.1002/cpe.1471
Communicating Sequential Processes for Java (JCSP) is a mature library that implements CSP-derived concurrency primitives in Java. A JCSP system is a hierarchical network of a...
Implementation of the Prometheus Taxonomic Model: a comparison of database models and query languages and an introduction to the Prometheus Object-Oriented Model.
Journal Article
Raguenaud, C., Pullan, M. R., Watson, M. F., Kennedy, J., Newman, M. F., & Barclay, P. J. (2002)
Implementation of the Prometheus Taxonomic Model: a comparison of database models and query languages and an introduction to the Prometheus Object-Oriented Model. Taxon, 51(1), 131-142. https://doi.org/10.2307/1554970
Types of databases commonly used for handling taxonomic data are compared. It is shown that none of the existing types of databases fully support the requirements of taxonomic...