PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model
Chen, K., Wang, G., Wu, L., Chen, J., Yuan, S., Liu, Q., & Liu, X. (2019)
PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model. International Journal of Environmental Research and Public Health, 16(24), https://doi.org/10.3390/ijerph16245102
At present particulate matter (PM₂.₅) pollution represents a serious threat to the public health and the national economic system in China. This paper optimizes ...
This pervasive day: creative Interactive methods for encouraging public engagement with FET research
Helgason, I., Bradley, J., Egan, C., Paechter, B., & Hart, E. (2011)
This pervasive day: creative Interactive methods for encouraging public engagement with FET research. Procedia Computer Science, 7, 207-208. https://doi.org/10.1016/j.procs.2011.09.028
This paper describes a case study of a programme of interactive public engagement activities presented by the PerAda Co-ordination Action project (FET Proactive Initiative on ...
Exploring multiple trees through DAG representations
Graham, M., & Kennedy, J. (2007)
Exploring multiple trees through DAG representations. IEEE Transactions on Visualization and Computer Graphics, 13, 1294-1301. https://doi.org/10.1109/TVCG.2007.70556
We present a Directed Acyclic Graph visualisation designed to allow interaction with a set of multiple classification trees, specifically to find overlaps and differences betw...
Interference graphs to monitor and control schedules in low-power WPAN
van der Lee, T., Liotta, A., & Exarchakos, G. (2019)
Interference graphs to monitor and control schedules in low-power WPAN. Future Generation Computer Systems, 93, 111-120. https://doi.org/10.1016/j.future.2018.10.014
• This study presents the complete and slotted interference graph model.
• The service uses the complete interference graph to evaluate the network.
• Slotted int...
Outlier Detection of Time Series with A Novel Hybrid Method in Cloud Computing
Liu, Q., Wang, Z., Liu, X., & Linge, N. (2019)
Outlier Detection of Time Series with A Novel Hybrid Method in Cloud Computing. International Journal of High Performance Computing and Networking, 14(4), 435-443. https://doi.org/10.1504/IJHPCN.2019.102350
In the wake of the development in science and technology, Cloud Computing has obtained more attention in different field. Meanwhile, outlier detection for data mining in Cloud...
Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink
Liu, Q., Zhang, K., Liu, X., & Linge, N. (2017)
Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink. International Journal of Sensor Networks, 25(2), 1. https://doi.org/10.1504/ijsnet.2017.10007397
In a traditional wireless sensor network with static sinks, sensor nodes close to the sink run out of their batteries quicker than other nodes due to the increased data traffi...
An agility-oriented and fuzziness-embedded semantic model for collaborative cloud service search, retrieval and recommendation
Fang, D., Liu, X., Romdhani, I., Jamshidi, P., & Pahl, C. (2016)
An agility-oriented and fuzziness-embedded semantic model for collaborative cloud service search, retrieval and recommendation. Future Generation Computer Systems, 56, 11-26. https://doi.org/10.1016/j.future.2015.09.025
Cloud computing enables a revolutionary paradigm of consuming ICT services. However, due to the inadequately described service information, users often feel confused while try...
Techniques for Auditing the ICT Carbon Footprint of an Organisation
Mouchet, C., Urquhart, N., & Kemmer, R. (2014)
Techniques for Auditing the ICT Carbon Footprint of an Organisation. International Journal of Green Computing, 5(1), 44-61. https://doi.org/10.4018/ijgc.2014010104
This article has presents an extensive survey of the state of the art in Green IT/S. The findings of the survey suggest that there is scope for a reliable carbon footprint aud...
BayesPiles: Visualisation Support for Bayesian Network Structure Learning
Vogogias, A., Kennedy, J., Archambault, D., Bach, B., Smith, V. A., & Currant, H. (2018)
BayesPiles: Visualisation Support for Bayesian Network Structure Learning. ACM transactions on intelligent systems and technology, 10(1), 1-23. https://doi.org/10.1145/3230623
We address the problem of exploring, combining and comparing large collections of scored, directed networks for understanding inferred Bayesian networks used in biology. In th...
Home appliances classification based on multi-feature using ELM
Wu, Z., Liu, Q., Chen, F., Chen, F., Liu, X., & Linge, N. (2018)
Home appliances classification based on multi-feature using ELM. International Journal of Sensor Networks, 28(1), 34. https://doi.org/10.1504/ijsnet.2018.094710
With the development of science and technology, the application in artificial intelligence has been more and more popular, as well as smart home has become a hot topic. And pa...