Outputs (45)

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)
Presentation / Conference Contribution
Liu, X., Liu, Q., Zou, Y., & Liu, Q. (2018, December). A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme. Presented at International Conference on Security with Intelligent Computing and Big-data Services, Guilin, China

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.

Random Occlusion Recovery for Person Re-identification (2019)
Journal Article
Wu, D., Zhang, K., Zheng, S., Hao, Y., Liu, F., Qin, X., Cheng, F., Zhao, Y., Liu, Q., Yuan, C., & Huang, D. (2019). Random Occlusion Recovery for Person Re-identification. Journal of Imaging Science and Technology, 63(3), 30405(1)-30405(9). https://doi.org/10.2352/j.imagingsci.technol.2019.63.3.030405

As a basic task of multi-camera surveillance system, person re-identification aims to re-identify a query pedestrian observed from non-overlapping multiple cameras or across different time with a single camera. Recently, deep learning-based person re... Read More about Random Occlusion Recovery for Person Re-identification.

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.-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.

Monitoring Home Energy Usage Using an Unsupervised NILM Algorithm Based on Entropy Index Constraints Competitive Agglomeration (EICCA) (2018)
Presentation / Conference Contribution
Kamoto, K. M., & Liu, Q. (2018). Monitoring Home Energy Usage Using an Unsupervised NILM Algorithm Based on Entropy Index Constraints Competitive Agglomeration (EICCA). . https://doi.org/10.1007/978-3-030-00018-9_42

Given that residential sectors in both developed and developing nations contribute to a significant portion of electric energy consumption, addressing energy efficiency and conservation in this sector is envisioned to have a considerable effect on th... Read More about Monitoring Home Energy Usage Using an Unsupervised NILM Algorithm Based on Entropy Index Constraints Competitive Agglomeration (EICCA).

Appliance Recognition Based on Continuous Quadratic Programming (2018)
Presentation / Conference Contribution
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.

CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN (2018)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2018, April). CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN. Presented at 2018 3rd International Conference on Computer and Communication Systems (ICCCS), Nagoya, Japan

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.