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87 results

An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values

Journal Article
Chen, J., Chen, K., Ding, C., Wang, G., Liu, Q., & Liu, X. (2020)
An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values. IEEE Access, 8, 4265-4272. https://doi.org/10.1109/access.2019.2963416
In recent years, Air Quality Index (AQI) have been widely used to describe the severity of haze and other air pollutions yet suffers from inefficiency and compatibility on rea...

BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications

Journal Article
Chinenyeze, S. J., Liu, X., & Al-Dubai, A. (2017)
BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications. Journal of Software: Evolution and Process, 29(2), e1848. https://doi.org/10.1002/smr.1848
With the resource-constrained nature of mobile devices and the resource-abundant offerings of the cloud, several promising optimisation techniques have been proposed by the gr...

CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN

Conference Proceeding
Liu, X., & Liu, Q. (2018)
CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN. In Proceedings of the 3rd International Conference on Computer and Communication Systems, (306-309). https://doi.org/10.1109/CCOMS.2018.8463242
Acoustic Communication is one of the most common and popular techniques used for Underwater Sensor Networks. The design of its communication protocol becomes a challenge due t...

Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds

Journal Article
Wei, H., Wang, Z., Liu, X., Chalmers, K., & Cheng, G. (2013)
Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds. Journal of Industrial and Intelligent Information, 1(1), 6-9. https://doi.org/10.12720/jiii.1.1.6-9
The proposed research will focus on developing a novel approach to solve Software Service Evolution problems in Computing Clouds. The approach will support dynamic evolution o...

A Survey of Error Analysis and Calibration Methods for MEMS Triaxial Accelerometers

Journal Article
Xiao, B., Jiang, Y., Liu, Q., Liu, X., & Sun, M. (2020)
A Survey of Error Analysis and Calibration Methods for MEMS Triaxial Accelerometers. Computers, Materials & Continua, 64(1), 389-399. https://doi.org/10.32604/cmc.2020.06092
MEMS accelerometers are widely used in various fields due to their small size and low cost, and have good application prospects. However, the low accuracy limits its range of ...

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...

A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network

Journal Article
Liu, X., Liu, Q., & Sun, M. (2018)
A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network. Computers, Materials & Continua, 57(2), 179-194. https://doi.org/10.32604/cmc.2018.04025+
In a home energy management system (HEMS), appliances are becoming diversified and intelligent, so that certain simple maintenance work can be completed by appliances themselv...

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...

Power Consuming Activity Recognition in Home Environment

Conference Proceeding
Liu, X., & Liu, Q. (2017)
Power Consuming Activity Recognition in Home Environment. In X. Sun, H. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2017, (361-372). https://doi.org/10.1007/978-3-319-68505-2_31
This work proposed an activity recognition model which focus on the power con-suming activity in home environment, to help residents modify their behavior. We set the IoT syst...

Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space

Conference Proceeding
Singh Jamnal, G., Liu, X., & Fan, L. (2017)
Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space. In Proceedings of The 29th International Conference on Software Engineering and Knowledge Engineering
In this paper, we proposed a new type of decision making system to achieve the intelligent goal for automated smart environments. The artificial intelligence techniques, used ...

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