Outputs (175)

Reinforcement Learning Based Load Balancing for Geographically Distributed Data centres (2021)
Presentation / Conference Contribution

This paper proposes a method of migrating workload among geo-distributed data centres that are equipped with on-site renewable energy sources (RES), such as solar and wind energy, to decarbonise data centres. It aims to optimise the performance of su... Read More about Reinforcement Learning Based Load Balancing for Geographically Distributed Data centres.

Blockchain Smart Contracts for Grid Connection Management in Achieving Net Zero Energy Systems (2021)
Presentation / Conference Contribution

Energy systems are transitioning towards a decentralized and decarbonized paradigm with the integration of distributed renewable energy sources. Blockchain smart contracts have the increasing potential to facilitate the transition of energy systems d... Read More about Blockchain Smart Contracts for Grid Connection Management in Achieving Net Zero Energy Systems.

Data-driven Pricing and Control for Low Carbon V2G Charging Station with Balancing Services (2020)
Presentation / Conference Contribution

The transition to a low carbon transportation system has brought many challenges for researchers, one major challenge is how to ensure power system reliability as a result of high load demands to supply energy to Electric Vehicles (EVs) while coping... Read More about Data-driven Pricing and Control for Low Carbon V2G Charging Station with Balancing Services.

On differential modulation in downlink multiuser MIMO systems (2017)
Presentation / Conference Contribution

Relay selection for asynchronous AF relay networks with frequency selective channels (2016)
Presentation / Conference Contribution

Performance Analysis of Cognitive Clustered Machine-to-Machine Networks with Device Selection (2018)
Presentation / Conference Contribution

Appliance Classification using BiLSTM Neural Networks and Feature Extraction (2021)
Presentation / Conference Contribution

One significant challenge in Non-Intrusive Load Monitoring (NILM) is to identify and classify active appliances used in a building. This research focuses on the classifying process, exploring different approaches for the feature extraction of the app... Read More about Appliance Classification using BiLSTM Neural Networks and Feature Extraction.

Trust-based Model for Securing Vehicular Networks Against RSU Attacks (2021)
Presentation / Conference Contribution

Intelligent Transportation System (ITS) is one of the Internet of Things (IoT) systems that can achieve reliable transportation by providing communications between vehicles and infrastructure units. The interaction between them is called Vehicle-to-E... Read More about Trust-based Model for Securing Vehicular Networks Against RSU Attacks.

An Internet of Things (IoT) Homecare Management System Using Cardiac Arrhythmia Classification (2020)
Presentation / Conference Contribution

Due to the fast growing of population, a lot of hospitals get crawdad from the huge amount of patients visits. The need for providing patient care while they are at home at anytime is important and the era of homecare should started. Internet of Thin... Read More about An Internet of Things (IoT) Homecare Management System Using Cardiac Arrhythmia Classification.

Sum-rate Maximization in Uplink CRAN with a Massive MIMO Fronthaul (2021)
Presentation / Conference Contribution

The limited fronthaul capacity is known to be one of the main problems in cloud radio access networks (CRANs), especially in the wireless fronthaul links. In this paper, we consider the uplink of a CRAN system, where massive multiple-input multiple-o... Read More about Sum-rate Maximization in Uplink CRAN with a Massive MIMO Fronthaul.

Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss (2021)
Presentation / Conference Contribution

In this paper we introduce two methods of improving real-time object grasping performance from monocular colour images in an end-to-end CNN architecture. The first is the addition of an auxiliary task during model training (multi-task learning). Our... Read More about Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss.

Short-term load forecasting using artificial neural networks and social media data (2021)
Presentation / Conference Contribution

Evolving practices around energy generation, storage and trading within the UK have made it more necessary than ever to provide accurate means of forecasting electricity demand. This paper considers deep neural networks with convolutional and recurre... Read More about Short-term load forecasting using artificial neural networks and social media data.

A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming (2021)
Presentation / Conference Contribution

This paper studies the long-standing problem of outage-constrained robust downlink beamforming in the multiuser multi-antenna wireless communications systems. State of the art solutions have very high computational complexity which poses a major chal... Read More about A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming.

Autoencoders Without Reconstruction for Textural Anomaly Detection (2021)
Presentation / Conference Contribution

Automatic anomaly detection in natural textures is a key component within quality control for a range of high-speed, high-yield manufacturing industries that rely on camera-based visual inspection techniques. Targeting anomaly detection through the u... Read More about Autoencoders Without Reconstruction for Textural Anomaly Detection.

Optimising Demand and Bid Matching in a Peer-to-Peer Energy Trading Model (2020)
Presentation / Conference Contribution

A Blockchain-Based Peer-to-Peer Trading Scheme Coupling Energy and Carbon Markets (2019)
Presentation / Conference Contribution

Climate change enforces the integration of distributed renewable energy sources and development of carbon price scheme. Whilst the energy is traded among distributed prosumers, the carbon responsibilities and corresponding allowances trading need to... Read More about A Blockchain-Based Peer-to-Peer Trading Scheme Coupling Energy and Carbon Markets.

Multi-Metric QoS-balancing Relay Selection Algorithm in V2X Communications (2019)
Presentation / Conference Contribution

As the network topology of the Vehicle-to-Everything (V2X) frequently changes, direct communication with the infrastructure unit is not always available. Therefore, the road entity requires to choose Device-to-Device (D2D) relay node to forward its p... Read More about Multi-Metric QoS-balancing Relay Selection Algorithm in V2X Communications.

Smart Electric Vehicle Charging with Ideal and Practical Communications in Smart Grids (2019)
Presentation / Conference Contribution

Smart Scheduling of Household Appliances to Decarbonise Domestic Energy Consumption (2019)
Presentation / Conference Contribution

Demand side response (DSR) and the interconnectivity of smart technologies will be essential to transform and revolutionize the way consumers engage with the energy industry. The carbon intensity of electricity varies throughout the day as a result o... Read More about Smart Scheduling of Household Appliances to Decarbonise Domestic Energy Consumption.

Experimental Performance Evaluation of TCP over an Integrated Satellite-Terrestrial Network Environment (2019)
Presentation / Conference Contribution

In this paper, we present the experimental measurement and evaluation of Transmission Control Protocol (TCP) performance over Internet Protocol (IP) using a real, heterogeneous network environment, incorporating at least one leg of satellite and land... Read More about Experimental Performance Evaluation of TCP over an Integrated Satellite-Terrestrial Network Environment.