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...
An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs
Conference Proceeding
Liu, X., & Liu, Q. (2017)
An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs. In X. Sun, H. C. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security (ICCCS 2017), (450-459). https://doi.org/10.1007/978-3-319-68505-2_39
With the development of microelectronic devices and the radio, the application of WSN is more popular and can be applied in the various areas, which has attracted scholars. Ho...
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...
DEEPC: Dynamic Energy Profiling of Components
Conference Proceeding
Liu, X., Chinenyeze, S. J., & Al-Dubai, A. (2016)
DEEPC: Dynamic Energy Profiling of Components. In 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)https://doi.org/10.1109/COMPSAC.2016.90
Many software projects are built using reusable components (i.e. reusable objects - as per component and connectors in software architectures). During component selection in C...
An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment
Conference Proceeding
Liu, X., & Liu, Q. (2017)
An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment. In Proceedings of 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), (128-131). https://doi.org/10.1109/cse-euc.2017.208
Hadoop is a famous distributed computing framework that is applied to process large-scale data. "Straggling tasks" have a serious impact on Hadoop performance due to imbalance...
A Method for Electric Load Data Verfication and Repair in home Environment
Conference Proceeding
Liu, Q., Li, S., Liu, X., & Linge, N. (2016)
A Method for Electric Load Data Verfication and Repair in home Environment. In X. Sun, A. Liu, H. C. Chao, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2016, 244-253. https://doi.org/10.1007/978-3-319-48674-1_22
Most people do not have a consciousness of energy saving. For this phenomenon, the governments are building smart grids to take measures for the energy crisis. Electric load d...
Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces.
Conference Proceeding
Bamgboye, O., Liu, X., & Cruickshank, P. (2018)
Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. In 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)https://doi.org/10.1109/COMPSAC.2018.10330
Smart Spaces currently benefits from Internet of Things (IoT) infrastructures in order to realise its objectives. In many cases, it demonstrates this through certain automated...
A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles
Journal Article
Liu, Q., Kamoto, K. M., Liu, X., Zhang, Y., Yang, Z., Khosravi, M. R., …Qi, L. (2021)
A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles. IEEE Sensors Journal, 21(14), 15895-15903. https://doi.org/10.1109/jsen.2020.3027684
Intelligent transportation systems (ITSs) have become popular in recent years as an essential requirement for safer and more efficient transportation systems. Internet of Elec...
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract)
Conference Proceeding
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022)
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). In Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022 (41-50). https://doi.org/10.1007/978-3-031-21311-3_8
Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detect...
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, ...