All Outputs (6)

A Cognitive-IoE Approach to Ambient-intelligent Smart Home (2017)
Presentation / Conference Contribution
Jamnal, G., & Liu, X. (2017). A Cognitive-IoE Approach to Ambient-intelligent Smart Home. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security (302-308). https://doi.org/10.5220/0006304103020308

In today’s world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not re... Read More about A Cognitive-IoE Approach to Ambient-intelligent Smart Home.

An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs (2017)
Presentation / Conference Contribution
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-

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)
Presentation / Conference Contribution
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.

Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space (2017)
Presentation / Conference Contribution
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 as building blocks to understand inhabitant activity patterns. The collecte... Read More about Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space.

ESBSC: Energy-Aware Service Brokering Strategy in Clouds (2017)
Presentation / Conference Contribution
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.201

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 job of choosing the suitable resource to be a very difficult one for the comm... Read More about ESBSC: Energy-Aware Service Brokering Strategy in Clouds.

An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment (2017)
Presentation / Conference Contribution
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 Inte

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.