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58 results

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 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...

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, ...

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...

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...

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...

A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction

Journal Article
Liu, Q., Zou, Y., & Liu, X. (2019)
A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction. Computer Modeling in Engineering and Sciences, 119(3), 617-637. https://doi.org/10.32604/cmes.2019.06272
Haze-fog, which is an atmospheric aerosol caused by natural or man-made factors, seriously affects the physical and mental health of human beings. PM2.5 (a particulate matter ...

Reviving legacy enterprise systems with microservice-based architecture within cloud environments

Conference Proceeding
Habibullah, S., Liu, X., Tan, Z., Zhang, Y., & Liu, Q. (2019)
Reviving legacy enterprise systems with microservice-based architecture within cloud environments. In Computer Science Conference Proceedingshttps://doi.org/10.5121/csit.2019.90713
Evolution has always been a challenge for enterprise computing systems. The microservice based architecture is a new design model which is rapidly becoming one of the most eff...

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 virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system

Journal Article
Liu, X., & Liu, Q. (2018)
A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system. Personal and Ubiquitous Computing, https://doi.org/10.1007/s00779-017-1093-2
In a non-uniformly distributed network, the dataconcentrating centre equipped with sparse nodes rapidly depletes its battery energy due to the hotspot problem. To solve this p...