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97 results

Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks

Journal Article
Liu, Q., Zhang, J., Liu, X., Zhang, Y., Xu, X., Khosravi, M., & Bilal, M. (2022)
Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks. Physical Communication, 51, Article 101584. https://doi.org/10.1016/j.phycom.2021.101584
The intensification of the greenhouse effect is driving the implementation of energy saving and emission reduction policies, which lead to a wide variety of energy saving solu...

An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs

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. Ho...

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...

DEEPC: Dynamic Energy Profiling of Components

Conference Proceeding
Liu, X., Chinenyeze, S. J., & Al-Dubai, A. (2016)
DEEPC: Dynamic Energy Profiling of Components. In 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)https://doi.org/10.1109/COMPSAC.2016.90
Many software projects are built using reusable components (i.e. reusable objects - as per component and connectors in software architectures). During component selection in C...

An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment

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...

A Method for Electric Load Data Verfication and Repair in home Environment

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 d...

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 Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles

Journal Article
Liu, Q., Kamoto, K. M., Liu, X., Zhang, Y., Yang, Z., Khosravi, M. R., …Qi, L. (2021)
A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles. IEEE Sensors Journal, 21(14), 15895-15903. https://doi.org/10.1109/jsen.2020.3027684
Intelligent transportation systems (ITSs) have become popular in recent years as an essential requirement for safer and more efficient transportation systems. Internet of Elec...

Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract)

Conference Proceeding
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022)
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). In Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022 (41-50). https://doi.org/10.1007/978-3-031-21311-3_8
Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detect...

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, ...
5 results

Swarmchestrate - Application-level Swarm-based Orchestration Across the Cloud-to-Things Continuum

2024 - 2026
The next-generation of intelligent cyber-physical and IoT systems powered by artificial intelligence (AI) are becoming an essential part of our environment. With the ever-growing number of intelligent...
Funder: European Commission | Value: £357,303

Context-Active Resilience in Cyber Physical systems (CAR)

2016 - 2018
This European Fellowship project will benefit the researcher by giving and enhancing the knowledge and skills for a future generation of CPSs which enjoy the unique feature of context-active resilienc...
Funder: European Commission | Value: £127,083

Context-driven proactively Auto-recognising and Learning Met-bot for Meteorological Disaster Surveillance and Precautious Warning

2019 - 2022
The project aims to advance the autonomy of field robots with a novel approach to developing a new generation of Meteorological Drone Robots (Met-Bot) which will be context-driven, proactively auto-re...
Funder: Royal Society of Edinburgh | Value: £12,000

A semantic-driven cloud migration framework

2014 - 2016
Cloud computing is a fast emerging ICT technology to achieving an innovative and sustainable digital economy. It is expected to be a dominating model and technology of the ICT sector for the next 15 y...
Funder: Royal Society | Value: £12,000

eTourism

2013 - 2014
This Innovation Voucher in collaboration with Edinburgh Travel Limited aims to build a novel and effective web based e-tourism service to make the tour as pleasant and memorable as possible. Service a...
Funder: Scottish Funding Council | Value: £5,000