All Outputs (182)

Semantic Stream Management Framework for Data Consistency in Smart Spaces (2019)
Conference Proceeding
Bamgboye, O., Liu, X., & Cruickshank, P. (2019). Semantic Stream Management Framework for Data Consistency in Smart Spaces. . https://doi.org/10.1109/COMPSAC.2019.10188

Semantic technology can provide a bridge between smart applications and Internet of Things (IoT) to enable possible integration and interoperability of data produced by heterogeneous devices. In IoT, data quality plays an important role when it c... Read More about Semantic Stream Management Framework for Data Consistency in Smart Spaces.

Reviving legacy enterprise systems with microservice-based architecture within cloud environments (2019)
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 Proceedings. https://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 effective means to re-architect legacy enterprise systems and to reengineer th... Read More about Reviving legacy enterprise systems with microservice-based architecture within cloud environments.

An Auto-Calibration Approach to Robust and Secure Usage of Accelerometers for Human Motion Analysis in FES Therapies (2019)
Journal Article
Sun, M., Jiang, Y., Liu, Q., & Liu, X. (2019). An Auto-Calibration Approach to Robust and Secure Usage of Accelerometers for Human Motion Analysis in FES Therapies. Computers, Materials & Continua, 60(1), 67-83. https://doi.org/10.32604/cmc.2019.06079

A Functional Electrical stimulation (FES) therapy is a common rehabilitation intervention after stroke, and finite state machine (FSM) has proven to be an effective and intuitive FES control method. The FSM uses the data information generated by the... Read More about An Auto-Calibration Approach to Robust and Secure Usage of Accelerometers for Human Motion Analysis in FES Therapies.

Indirect Economic Impact Incurred by Haze Pollution: An Econometric and Input–Output Joint Model (2019)
Journal Article
Chen, J., Chen, K., Wang, G., Chen, R., Liu, X., & Wei, G. (2019). Indirect Economic Impact Incurred by Haze Pollution: An Econometric and Input–Output Joint Model. International Journal of Environmental Research and Public Health, 16(13), 2328. https://doi.org/10.3390/ijerph16132328

Econometrics and input–output models have been presented to construct a joint model (i.e., an EC + IO model) in the paper, which is characterized by incorporating the uncertainty of the real economy with the detailed departmental classification struc... Read More about Indirect Economic Impact Incurred by Haze Pollution: An Econometric and Input–Output Joint Model.

A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction (2019)
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 whose diameter is smaller than or equal to 2.5 microns) is the chief culpri... Read More about A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction.

Non-intrusive load monitoring and its challenges in a NILM system framework (2019)
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 appliance’s energy consumption instead of the whole-house energy consumpti... Read More about Non-intrusive load monitoring and its challenges in a NILM system framework.

A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme (2019)
Conference Proceeding
Liu, X., Liu, Q., Zou, Y., & Liu, Q. (2020). A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme. In Security with Intelligent Computing and Big-data Services (701-706). https://doi.org/10.1007/978-3-030-16946-6_57

The air quality in urban areas seriously affects the physical and mental health of human beings. And PM2.5 (a particulate matter whose diameter is smaller than or equal to 2.5 microns) is the chief culprit causing haze-fog. Since the meteorological d... Read More about A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme.

PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism (2019)
Journal Article
Chen, J., Chen, K., Wang, G., Wu, L., Liu, X., & Wei, G. (2019). PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism. International Journal of Environmental Research and Public Health, 16(7), Article 1159. https://doi.org/10.3390/ijerph16071159

In this paper, a vector autoregression (VAR) model has been constructed in order to analyze a two-way mechanism between PM2.5 pollution and industry development in Beijing via the combination of an impulse response function and variance decomposition... Read More about PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism.

Microgrids As A Service for Rural Electrification in Sub-Saharan Africa. (2019)
Journal Article
Liu, Q., Kamoto, K. M., & Liu, X. (2020). Microgrids As A Service for Rural Electrification in Sub-Saharan Africa. Computers, Materials & Continua, 63(3), 1249-1261. https://doi.org/10.32604/cmc.2020.05598

The majority of the population on the African continent is unable to access basic electricity services, this despite the abundance of renewable energy sources (RESs). The inability to adequately tap into these RESs has led to the continued dependence... Read More about Microgrids As A Service for Rural Electrification in Sub-Saharan Africa..

Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models (2019)
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. https://doi.org/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, there has been a surge in interest in the field of load monitoring, also refer... Read More about Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models.

A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network (2018)
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 themselves. During the measurement, collection and transmission of electricity load... Read More about A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network.

An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment (2018)
Journal Article
Jin, D., Liu, Q., Liu, X., & Linge, N. (2019). An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment. Journal of Computers, 30(3), 130-142. https://doi.org/10.3966/199115992019063003010

Hadoop is a famous parallel computing framework that is applied to process large-scale data, but there exists such a task in hadoop framework, which is called “Straggling task” and has a serious impact on Hadoop. Speculative execution (SE) is an effe... Read More about An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment.

SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data (2018)
Journal Article
Xiao, B., Wang, Z., Liu, Q., & Liu, X. (2018). SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data. Computers, Materials & Continua, 56(3), 365-379. https://doi.org/10.3970/cmc.2018.01830

In recent years, the rapid development of big data technology has also been favored by more and more scholars. Massive data storage and calculation problems have also been solved. At the same time, outlier detection problems in mass data have also co... Read More about SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data.

An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules (2018)
Journal Article
Habibullah, S., Liu, X., & Tan, Z. (2018). An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules. International Journal of Computer Theory and Engineering, 10(5), 164-169. https://doi.org/10.7763/ijcte.2018.v10.1219

Evolving legacy enterprise systems into a lean system architecture has been on the agendas of many enterprises. Recent advance in legacy system evaluation is in favour of microservice technologies, which not only significantly reduce the complexity i... Read More about An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules.

Appliance Recognition Based on Continuous Quadratic Programming (2018)
Conference Proceeding
Liu, X., & Liu, Q. (2018). Appliance Recognition Based on Continuous Quadratic Programming. In Proceedings of 4th International Conference on Cloud Computing and Security (ICCCS 2018) (63-72). https://doi.org/10.1007/978-3-030-00018-9_6

The detailed information of residents' electricity consumption is of great significance to the planning of the use of electrical appliances and the reduction of electrical energy consumption. On the basis of analyzing the characteristics of residents... Read More about Appliance Recognition Based on Continuous Quadratic Programming.

A Self-organizing LSTM-Based Approach to PM2.5 Forecast (2018)
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 condition of haze-fog, PM2.5 is the main cause element of haze-fog pollution in... Read More about A Self-organizing LSTM-Based Approach to PM2.5 Forecast.

CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN (2018)
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 to its features of high delay and low bandwidth. Relevant research work has... Read More about CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN.

Home appliances classification based on multi-feature using ELM (2018)
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 pattern recognition adapting to smart home attracts more attention, while the... Read More about Home appliances classification based on multi-feature using ELM.

Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. (2018)
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 applications that relies on sensor streams that comes with some uncertaint... Read More about Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces..

A method for electric load data verification and repair in home environment (2018)
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, efficient and environmentally friendly. Without the correct data, the corre... Read More about A method for electric load data verification and repair in home environment.