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Outputs (654)

Internal insulation condition identification for high-voltage capacitor voltage transformers based on possibilistic fuzzy clustering (2020)
Journal Article
Meng, Z., Li, H., Chen, Q., & See, C. H. (2020). Internal insulation condition identification for high-voltage capacitor voltage transformers based on possibilistic fuzzy clustering. Review of Scientific Instruments, 91(1), Article 014705. https://doi.org/10.1063/1.5123438

The internal insulation condition of capacitor voltage transformers (CVTs) is a key influence factor that affects their measurement performance and safe operation. However, the internal insulation would age along with long-time operation and degrade... Read More about Internal insulation condition identification for high-voltage capacitor voltage transformers based on possibilistic fuzzy clustering.

Random Features and Random Neurons for Brain-Inspired Big Data Analytics (2020)
Presentation / Conference Contribution
Gogate, M., Hussain, A., & Huang, K. (2019, November). Random Features and Random Neurons for Brain-Inspired Big Data Analytics. Presented at 2019 International Conference on Data Mining Workshops (ICDMW), Beijing, China

With the explosion of Big Data, fast and frugal reasoning algorithms are increasingly needed to keep up with the size and the pace of user-generated contents on the Web. In many real-time applications, it is preferable to be able to process more data... Read More about Random Features and Random Neurons for Brain-Inspired Big Data Analytics.

Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map (2020)
Journal Article
Song, W., Wang, Y., Huang, D., Liotta, A., & Perra, C. (2020). Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map. IEEE Transactions on Broadcasting, 66(1), 153-169. https://doi.org/10.1109/tbc.2019.2960942

Underwater images often have severe quality degradation and distortion due to light absorption and scattering in the water medium. A hazy image formation model is widely used to restore the image quality. It depends on two optical parameters: the bac... Read More about Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map.

The application of the yield approach to study slurry migration in drill cuttings waste underground disposal (2020)
Journal Article
Guo, C., Wang, X., Li, C., Zhang, K., & Cai, Z. (2020). The application of the yield approach to study slurry migration in drill cuttings waste underground disposal. Journal of Cleaner Production, 254, Article 120144. https://doi.org/10.1016/j.jclepro.2020.120144

The underground disposal of drill cuttings waste is a common practice for the gas/oil industry to achieve zero-discharge sustainable development. In this study, a numerical modeling approach was developed to simulate the slurry flow for underground d... Read More about The application of the yield approach to study slurry migration in drill cuttings waste underground disposal.

FIMPA: A Fixed Identity Mapping Prediction Algorithm in Edge Computing Environment (2020)
Journal Article
Zhang, S., Liu, Y., Li, S., Tan, Z., Zhao, X., & Zhou, J. (2020). FIMPA: A Fixed Identity Mapping Prediction Algorithm in Edge Computing Environment. IEEE Access, 8, 17356-17365. https://doi.org/10.1109/access.2020.2966399

Edge computing is a research hotspot that extends cloud computing to the edge of the network. Due to the recent developments in computation, storage and network technology for end devices, edge networks have become more powerful, making it possible t... Read More about FIMPA: A Fixed Identity Mapping Prediction Algorithm in Edge Computing Environment.

Evaluation of Live Forensic Techniques in Ransomware Attack Mitigation (2020)
Thesis
Davies, S. (2020). Evaluation of Live Forensic Techniques in Ransomware Attack Mitigation. (Dissertation). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2875361

Ransomware continues to grow in both scale, cost, complexity and impact since its initial discovery nearly 30 years ago. Security practitioners are engaged in a continual "arms race" with the ransomware developers attempting to defend their digital i... Read More about Evaluation of Live Forensic Techniques in Ransomware Attack Mitigation.

Breaking the cycle of frustration: Applying Neisser's Perceptual Cycle Model to drivers of semi-autonomous vehicles (2020)
Journal Article
Revell, K. M., Richardson, J., Langdon, P., Bradley, M., Politis, I., Thompson, S., Skrypchuck, L., O'Donoghue, J., Mouzakitis, A., & Stanton, N. A. (2020). Breaking the cycle of frustration: Applying Neisser's Perceptual Cycle Model to drivers of semi-autonomous vehicles. Applied Ergonomics, 85, Article 103037. https://doi.org/10.1016/j.apergo.2019.103037

Semi-autonomous cars are already on the road and highly autonomous cars will soon be with us. Little is understood about how drivers will adapt to the changing relationship with their vehicle, but to ensure safety and consumer acceptance, this insigh... Read More about Breaking the cycle of frustration: Applying Neisser's Perceptual Cycle Model to drivers of semi-autonomous vehicles.

FairEdge: A Fairness-Oriented Task Offloading Scheme for Iot Applications in Mobile Cloudlet Networks (2020)
Journal Article
Lai, S., Fan, X., Ye, Q., Tan, Z., Zhang, Y., He, X., & Nanda, P. (2020). FairEdge: A Fairness-Oriented Task Offloading Scheme for Iot Applications in Mobile Cloudlet Networks. IEEE Access, 8, 13516-13526. https://doi.org/10.1109/access.2020.2965562

Mobile cloud computing has emerged as a promising paradigm to facilitate computation-intensive and delay-sensitive mobile applications. Computation offloading services at the edge mobile cloud environment are provided by small-scale cloud infrastruct... Read More about FairEdge: A Fairness-Oriented Task Offloading Scheme for Iot Applications in Mobile Cloudlet Networks.