All Outputs (16)

PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping (2023)
Conference Proceeding
Wang, Z., Liu, Q., & Liu, X. (2023). PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping. In 2023 IEEE Smart World Congress (SWC). https://doi.org/10.1109/SWC57546.2023.10449141

The rapid growth of private data from distributed edge networks, driven by the proliferation of IoT sensors, wearable devices, and smartphones, offers significant opportunities for AI applications. However, traditional distributed machine learning me... Read More about PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping.

Intelligent Question Answering System Based on Knowledge Graph (2022)
Conference Proceeding
Feng, X., Liu, Q., & Liu, X. (2022). Intelligent Question Answering System Based on Knowledge Graph. In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00225

In order to build a smart city and pursue more efficient city management, various industries have introduced intelligent question answering into process management. The intelligent question answering system based on the knowledge graph is dedicated t... Read More about Intelligent Question Answering System Based on Knowledge Graph.

Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach (2022)
Conference Proceeding
Zhang, J., Sun, J., Gan, J., Liu, Q., & Liu, X. (2022). Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach. In 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00079

The past decade have seen a growth in Internet technology, the overlap of cyberspace and social space provides great convenience for people's life. The in-depth study of non-intrusive load management (NILM) promotes the development of multi-integrati... Read More about Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach.

An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data (2022)
Conference Proceeding
Wu, Z., Wu, X., Liu, Q., & Liu, X. (2022). An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data. In 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00082

There are more than 10 million new stroke cases worldwide every year, and stroke has become one of the main causes of death and disability. In recent years, with the rapid development of computer science and technology, through the combination of Int... Read More about An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data.

A Fast Classification Approach to Upper-Limb Posture Recognition (2020)
Conference Proceeding
Wu, X., Jiang, Y., Liu, Q., Wu, H., & Liu, X. (2020). A Fast Classification Approach to Upper-Limb Posture Recognition. In 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00118

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.

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.

Monitoring Home Energy Usage Using an Unsupervised NILM Algorithm Based on Entropy Index Constraints Competitive Agglomeration (EICCA) (2018)
Conference Proceeding
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).

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.

An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs (2017)
Conference Proceeding
Liu, X., & Liu, Q. (2017). An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs. In X. Sun, H. C. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security (ICCCS 2017) (450-459). https://doi.org/10.1007/978-3-319-68505-2_39

With the development of microelectronic devices and the radio, the application of WSN is more popular and can be applied in the various areas, which has attracted scholars. However, the requirements of performance for WSNs are becoming great in terms... Read More about An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs.

Power Consuming Activity Recognition in Home Environment (2017)
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 system with lower number of sensors. The key data for identifying activity come... Read More about Power Consuming Activity Recognition in Home Environment.

An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment (2017)
Conference Proceeding
Liu, X., & Liu, Q. (2017). An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment. In Proceedings of 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) (128-131). https://doi.org/10.1109/cse-euc.2017.208

Hadoop is a famous distributed computing framework that is applied to process large-scale data. "Straggling tasks" have a serious impact on Hadoop performance due to imbalance of slow tasks distribution. Speculative execution (SE) presents a way to d... Read More about An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment.

A Survey of Speculative Execution Strategy in MapReduce (2016)
Conference Proceeding
Liu, Q., Jin, D., Liu, X., & Linge, N. (2016). A Survey of Speculative Execution Strategy in MapReduce. In A. Liu, H. C. Chao, E. Bertino, & X. Sun (Eds.), Cloud Computing and Security (296-307). https://doi.org/10.1007/978-3-319-48671-0_27

MapReduce is a parallel computing programming model designed to process large-scale data. Therefore, the accuracy and efficiency for computing are needed to be assured and speculative execution is an efficient method for calculation of fault toleranc... Read More about A Survey of Speculative Execution Strategy in MapReduce.

An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework (2016)
Conference Proceeding
Liu, Q., Lu, M., Liu, X., & Linge, N. (2016). An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework. In Cloud Computing and Security (254-263). https://doi.org/10.1007/978-3-319-48674-1_23

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 An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework.

A Method for Electric Load Data Verfication and Repair in home Environment (2016)
Conference Proceeding
Liu, Q., Li, S., Liu, X., & Linge, N. (2016). A Method for Electric Load Data Verfication and Repair in home Environment. In X. Sun, A. Liu, H. C. Chao, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2016 (244-253). https://doi.org/10.1007/978-3-319-48674-1_22

Most people do not have a consciousness of energy saving. For this phenomenon, the governments are building smart grids to take measures for the energy crisis. Electric load data records the electric consumption and plays an important role in operati... Read More about A Method for Electric Load Data Verfication and Repair in home Environment.