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Speech Acoustic Modelling from Raw Phase Spectrum (2021)
Presentation / Conference Contribution
Loweimi, E., Cvetkovic, Z., Bell, P., & Renals, S. (2021, June). Speech Acoustic Modelling from Raw Phase Spectrum. Presented at ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada

Magnitude spectrum-based features are the most widely employed front-ends for acoustic modelling in automatic speech recognition (ASR) systems. In this paper, we investigate the possibility and efficacy of acoustic modelling using the raw short-time... Read More about Speech Acoustic Modelling from Raw Phase Spectrum.

Towards robust and efficient solvers for fluid-structure interaction problems involving thin flexible structures (2021)
Presentation / Conference Contribution
Kadapa, C. (2021). Towards robust and efficient solvers for fluid-structure interaction problems involving thin flexible structures. In UK Association for Computational Mechanics (UKACM) 2021 Conference

This work proposes a new single-step implicit-explicit scheme for computationally efficient numerical solutions of fluid-structure interaction problems involving laminar incompressible fluids and thin, flexible structures. The base solver for incompr... Read More about Towards robust and efficient solvers for fluid-structure interaction problems involving thin flexible structures.

High-Isolation Antenna Array Using SIW and Realized with a Graphene Layer for Sub-Terahertz Wireless Applications (2021)
Journal Article
Alibakhshikenari, M., Virdee, B. S., Salekzamankhani, S., Aïssa, S., See, C. H., Soin, N., Fishlock, S. J., Althuwayb, A. A., Abd-Alhameed, R., Huynen, I., Mclaughlin, J. A., Falcone, F., & Limiti, E. (2021). High-Isolation Antenna Array Using SIW and Realized with a Graphene Layer for Sub-Terahertz Wireless Applications. Scientific Reports, 11, Article 10218 (2021). https://doi.org/10.1038/s41598-021-87712-y

This paper presents the results of a study on developing an effective technique to increase the performance characteristics of array antennas for sub-THz integrated circuit applications. This is an essential to compensate the limited power of sub-THz... Read More about High-Isolation Antenna Array Using SIW and Realized with a Graphene Layer for Sub-Terahertz Wireless Applications.

Sentiment analysis of persian movie reviews using deep learning (2021)
Journal Article
Dashtipour, K., Gogate, M., Adeel, A., Larijani, H., & Hussain, A. (2021). Sentiment analysis of persian movie reviews using deep learning. Entropy, 23(5), Article 596. https://doi.org/10.3390/e23050596

Sentiment analysis aims to automatically classify the subject’s sentiment (e.g., positive, negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc. Deep learning has recently emerged as a powerful machine learning... Read More about Sentiment analysis of persian movie reviews using deep learning.

Emissions assessment of bike sharing schemes: The case of Just Eat Cycles in Edinburgh, UK (2021)
Journal Article
D’Almeida, L., Rye, T., & Pomponi, F. (2021). Emissions assessment of bike sharing schemes: The case of Just Eat Cycles in Edinburgh, UK. Sustainable Cities and Society, 71, Article 103012. https://doi.org/10.1016/j.scs.2021.103012

Transport accounts for 40 % of global emissions, 72 % of which comes from road transport, and private cars are responsible for 60 % of road transport emissions. In cities, self-service bike sharing systems are quickly developing and are intended to o... Read More about Emissions assessment of bike sharing schemes: The case of Just Eat Cycles in Edinburgh, UK.

Application and Suitability of Polymeric Materials as Insulators in Electrical Equipment (2021)
Journal Article
Haque, S. M., Ardila-Rey, J. A., Umar, Y., Mas’ud, A. A., Muhammad-Sukki, F., Jume, B. H., Rahman, H., & Bani, N. A. (2021). Application and Suitability of Polymeric Materials as Insulators in Electrical Equipment. Energies, 14(10), Article 2758. https://doi.org/10.3390/en14102758

In this paper, the applications of thermoplastic, thermoset polymers, and a brief description of the functions of each subsystem are reviewed. The synthetic route and characteristics of polymeric materials are presented. The mechanical properties of... Read More about Application and Suitability of Polymeric Materials as Insulators in Electrical Equipment.

Time Scheduling and Energy Trading for Heterogeneous Wireless-Powered and Backscattering-Based IoT Networks (2021)
Journal Article
Nguyen, N., Nguyen, D. N., Hoang, D. T., Van Huynh, N., Dutkiewicz, E., Nguyen, N., & Nguyen, Q. (2021). Time Scheduling and Energy Trading for Heterogeneous Wireless-Powered and Backscattering-Based IoT Networks. IEEE Transactions on Wireless Communications, 20(10), 6835-6851. https://doi.org/10.1109/twc.2021.3077018

This article studies the strategic interactions between an IoT service provider (IoTSP) which consists of heterogeneous IoT devices and its energy service provider (ESP). To that end, we propose an economic framework using the Stackelberg game to max... Read More about Time Scheduling and Energy Trading for Heterogeneous Wireless-Powered and Backscattering-Based IoT Networks.

Indoor performance analysis of genetically optimized circular rotational square hyperboloid (GOCRSH) concentrator (2021)
Journal Article
Freier Raine, D., Muhammad-Sukki, F., Ramirez-Iniguez, R., Jafry, T., & Gamio, C. (2021). Indoor performance analysis of genetically optimized circular rotational square hyperboloid (GOCRSH) concentrator. Solar Energy, 221, 445-455. https://doi.org/10.1016/j.solener.2021.04.060

In the past few years, there was an increasing popularity of portable solar chargers for providing access to clean affordable electricity to remote locations in developing countries. Looking at the surge in demand, it is also important to reduce the... Read More about Indoor performance analysis of genetically optimized circular rotational square hyperboloid (GOCRSH) concentrator.

Integrating Concentrated Optics for Ambient Perovskite Solar Cells (2021)
Journal Article
Khalid, M., Roy, A., Bhandari, S., Sundaram, S., & Mallick, T. K. (2021). Integrating Concentrated Optics for Ambient Perovskite Solar Cells. Energies, 14(9), Article 2714. https://doi.org/10.3390/en14092714

Metal halide perovskite solar cells (PSCs) are considered an effectual way to enhance photovoltaic (PV) properties, leading to low-cost and high efficiency. PSCs have experienced rapid improvement in the last ten years. The device’s energy production... Read More about Integrating Concentrated Optics for Ambient Perovskite Solar Cells.

Probabilistic decentralised control and message passing framework for future grid (2021)
Journal Article
Herzallah, R., & Zhou, Y. (2021). Probabilistic decentralised control and message passing framework for future grid. International Journal of Electrical Power and Energy Systems, 131, Article 107114. https://doi.org/10.1016/j.ijepes.2021.107114

In this paper, we propose a unified probabilistic decentralised control and message passing framework for real time control of the electrical grid which enables the development of the future smart grid. The key elements of the proposed framework are... Read More about Probabilistic decentralised control and message passing framework for future grid.

Practical defences against model inversion attacks for split neural networks (2021)
Presentation / Conference Contribution
Titcombe, T., Hall, A. J., Papadopoulos, P., & Romanini, D. (2021, May). Practical defences against model inversion attacks for split neural networks. Paper presented at ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021), Online

We describe a threat model under which a split network-based federated learning system is susceptible to a model inversion attack by a malicious computational server. We demonstrate that the attack can be successfully performed with limited knowledge... Read More about Practical defences against model inversion attacks for split neural networks.

PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN (2021)
Presentation / Conference Contribution
Romanini, D., Hall, A. J., Papadopoulos, P., Titcombe, T., Ismail, A., Cebere, T., Sandmann, R., Roehm, R., & Hoeh, M. A. (2021, May). PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN. Poster presented at ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021), Online

We introduce PyVertical, a framework supporting vertical federated learning using split neural networks. The proposed framework allows a data scientist to train neural networks on data features vertically partitioned across multiple owners while keep... Read More about PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN.

Embodied online dance learning objectives of CAROUSEL + (2021)
Presentation / Conference Contribution
Mitchell, K., Koniaris, B., Tamariz, M., Kennedy, J., Cheema, N., Mekler, E., Van Der Linden, P., Herrmann, E., Hämäläinen, P., McGregor, I., Slusallek, P., & Mac Williams, C. (2021, March). Embodied online dance learning objectives of CAROUSEL +. Presented at 2021 IEEE VR 6th Annual Workshop on K-12+ Embodied Learning through Virtual and Augmented Reality (KELVAR), Lisbon, Portugal

This is a position paper concerning the embodied dance learning objectives of the CAROUSEL + 1 project, which aims to impact how online immersive technologies influence multiuser interaction and communication with a focus on dancing and learning danc... Read More about Embodied online dance learning objectives of CAROUSEL +.

Fast or Slow: An Autonomous Speed Control Approach for UAV-assisted IoT Data Collection Networks (2021)
Presentation / Conference Contribution
Chu, N. H., Hoang, D. T., Nguyen, D. N., Huynh, N. V., & Dutkiewicz, E. (2021, March). Fast or Slow: An Autonomous Speed Control Approach for UAV-assisted IoT Data Collection Networks. Presented at 2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China

Unmanned Aerial Vehicles (UAVs) have been emerging as an effective solution for IoT data collection networks thanks to their outstanding flexibility, mobility, and low operation costs. However, due to the limited energy and uncertainty from the data... Read More about Fast or Slow: An Autonomous Speed Control Approach for UAV-assisted IoT Data Collection Networks.

Optimal management of energy sharing in a community of buildings using a model predictive control (2021)
Journal Article
Vand, B., Ruusu, R., Hasan, A., & Manrique Delgado, B. (2021). Optimal management of energy sharing in a community of buildings using a model predictive control. Energy Conversion and Management, 239, Article 114178. https://doi.org/10.1016/j.enconman.2021.114178

Exporting generated electricity by on-site renewable energy systems from buildings to the grid is only slightly profitable in many countries. Therefore, it is required to investigate the benefits of sharing generated energy in a microgrid within a co... Read More about Optimal management of energy sharing in a community of buildings using a model predictive control.

In situ poling X-ray diffraction studies of lead-free BiFeO3–SrTiO3 ceramics (2021)
Journal Article
Lu, Z., Wang, G., Li, L., Huang, Y., Feteira, A., Bao, W., Kleppe, A. K., Xu, F., Wang, D., & Reaney, I. M. (2021). In situ poling X-ray diffraction studies of lead-free BiFeO3–SrTiO3 ceramics. Materials Today Physics, 19, Article 100426. https://doi.org/10.1016/j.mtphys.2021.100426

The origin of the large electrostrain in BiFeO3-BaTiO3 (BF-BT) ceramics is controversial and has been attributed to either a field-induced transition to a long-range ferroelectric (FE) state or to multi-symmetry, polar nanoregions within a pseudocubi... Read More about In situ poling X-ray diffraction studies of lead-free BiFeO3–SrTiO3 ceramics.

Impedance Bandwidth Improvement of a Planar Antenna Based on Metamaterial-Inspired T-Matching Network (2021)
Journal Article
Alibakhshikenari, M., Virdee, B. S., Shukla, P., Wang, Y., Azpilicueta, L., Naser-Moghadasi, M., See, C. H., Elfergani, I., Zebiri, C., Abd-Alhameed, R. A., Huynen, I., Rodriguez, J., Denidni, T. A., Falcone, F., & Limiti, E. (2021). Impedance Bandwidth Improvement of a Planar Antenna Based on Metamaterial-Inspired T-Matching Network. IEEE Access, 9, 67916-67927. https://doi.org/10.1109/access.2021.3076975

In this paper a metamaterial-inspired T-matching network is directly imbedded inside the feedline of a microstrip antenna to realize optimum power transfer between the front-end of an RF wireless transceiver and the antenna. The proposed T-matching n... Read More about Impedance Bandwidth Improvement of a Planar Antenna Based on Metamaterial-Inspired T-Matching Network.

An Investigation of the Effects of Drill Operator Posture on Vibration Exposure and Temporary Threshold Shift of Vibrotactile Perception Threshold (2021)
Journal Article
Taylor, M., Maeda, S., & Miyashita, K. (2021). An Investigation of the Effects of Drill Operator Posture on Vibration Exposure and Temporary Threshold Shift of Vibrotactile Perception Threshold. Vibration, 4(2), 395-405. https://doi.org/10.3390/vibration4020025

The present study involved performing an experiment to clarify whether vibration measurement values on the tool handle, in accordance with ISO 5349-1, can assess risk from workplace environments. The study investigated the relationship between the vi... Read More about An Investigation of the Effects of Drill Operator Posture on Vibration Exposure and Temporary Threshold Shift of Vibrotactile Perception Threshold.

Techno‐economic analysis of direct combustion and gasification systems for off‐grid energy supply: A case for organic rankine cycle and dual fluidized‐bed (2021)
Journal Article
Bagherian, M. A., Mehranzamir, K., Ahmed, J., Nafea, M., Nabipour‐Afrouzi, H., Wooi, C., Beiranvand Pour, A., Rezania, S., & Alizadeh, S. M. (2021). Techno‐economic analysis of direct combustion and gasification systems for off‐grid energy supply: A case for organic rankine cycle and dual fluidized‐bed. IET Renewable Power Generation, 15(12), 2596-2614. https://doi.org/10.1049/rpg2.12196

Biomass is one of the most versatile sustainable energy sources. This versatility allows utilization of different biomass feedstock using a verity of conversion techniques. Often, a biomass-to-bioenergy conversion method is selected depending on the... Read More about Techno‐economic analysis of direct combustion and gasification systems for off‐grid energy supply: A case for organic rankine cycle and dual fluidized‐bed.

Federated Learning for Short-term Residential Energy Demand Forecasting (2021)
Preprint / Working Paper
Briggs, C., Fan, Z., & Andras, P. (2021). Federated Learning for Short-term Residential Energy Demand Forecasting

Energy demand forecasting is an essential task performed within the energy industry to help balance supply with demand and maintain a stable load on the electricity grid. As supply transitions towards less reliable renewable energy generation, smart... Read More about Federated Learning for Short-term Residential Energy Demand Forecasting.