Research explorer tool

41 results

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 ...

Home appliances classification based on multi-feature using ELM

Journal Article
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...

Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment

Journal Article
Liu, Q., Cai, W., Jin, D., Shen, J., Fu, Z., Liu, X., & Linge, N. (2016)
Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment. Sensors, 16(9), 1386. https://doi.org/10.3390/s16091386
Distributed Computing has achieved tremendous development since cloud computing was proposed in 2006, and played a vital role promoting rapid growth of data collecting and ana...

CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks

Journal Article
Liu, Q., Chen, X., Liu, X., & Linge, N. (2018)
CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks. International Journal of Sensor Networks, 26(1), 1. https://doi.org/10.1504/ijsnet.2018.088364
Underwater Acoustic Sensor Networks (UANs) have emerged as a promising technology recently which can be applied in many areas such as military and civil, where the communicati...

ESBSC: Energy-Aware Service Brokering Strategy in Clouds

Conference Proceeding
Ma, F., Liu, X., Yang, Y., Yao, W., Cai, J., & Wang, F. (2017)
ESBSC: Energy-Aware Service Brokering Strategy in Clouds. In Proceedings of the IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)https://doi.org/10.1109/compsac.2017.120
One of the key features of cloud computing is on demand resource provision. Unfortunately, different cloud service providers often have different standards, which makes the jo...

A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets

Conference Proceeding
Aldawood, S., Fowley, F., Pahl, C., Taibi, D., & Liu, X. (2016)
A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets. In IEEE International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)https://doi.org/10.1109/w-ficloud.2016.19
With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing ...

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 ...

A Self-organizing LSTM-Based Approach to PM2.5 Forecast

Conference Proceeding
Liu, X., Liu, Q., Zou, Y., & Wang, G. (2018)
A Self-organizing LSTM-Based Approach to PM2.5 Forecast. In Proceedings of the 4th International Conference on Cloud Computing and Security (ICCCS 2018), (683-693). https://doi.org/10.1007/978-3-030-00015-8_59
Nanjing has been listed as the one of the worst performers across China with respect to the high level of haze-fog, which impacts people's health greatly. For the severe condi...