Skip to main content

Research Repository

Advanced Search

All Outputs (5021)

Design a Monitoring System For Pathogen Detection Using Microfluidic Technology
Presentation / Conference Contribution
Kerrouche, A., Lithgow, J., & Alwis, L. (2020, June). Design a Monitoring System For Pathogen Detection Using Microfluidic Technology. Presented at OFS 2020 (27th International conference on Optical Fiber Sensors), Washington, DC, US

Waterborne pathogens affect all waters globally and proceed to be a ongoing concern. The act to provide clean water by filtration is effective although has concerns. Previous methods for detection and removal of pathogens consist of a... Read More about Design a Monitoring System For Pathogen Detection Using Microfluidic Technology.

Micro-structured optical multi-mode fibers for sensing applications
Presentation / Conference Contribution
Bremer, K., Alwis, L., & Roth, B. (2020, March). Micro-structured optical multi-mode fibers for sensing applications. Presented at SPIE Photonics Europe International Symposium, Strasbourg, France

Grating-based Fiber Optic Sensors (FOSs), i.e. relying on Bragg Gratings (BGs), Long Period Gratings (LPGs), Tilted Fiber BGs (TFBGs), have seen a popularity in recent years for sensing applications, however, most of these are inscribed on Single-Mod... Read More about Micro-structured optical multi-mode fibers for sensing applications.

Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning
Presentation / Conference Contribution
Ilyas, M., Ahmad, J., Lawson, A., Khan, J. S., Tahir, A., Adeel, A., Larijani, H., Kerrouche, A., Shaikh, M. G., Buchanan, W., & Hussain, A. (2019, July). Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning. Presented at 10th International Conference, BICS 2019, Guangzhou, China

Prospective studies using longitudinal patient data can be used to help to predict responsiveness to Growth Hormone (GH) therapy and assess any suspected risks. In this paper, a novel Clinical Decision Support System (CDSS) is developed to predict gr... Read More about Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning.

Zero-valent iron fracture reactive barriers for remediating chlorinated solvent contaminants in fractured aquifers
Presentation / Conference Contribution
Cai, Z., Thomson, N., Lerner, D., Wlison, R., Mclaren, R., & Oswald, S. (2007, December). Zero-valent iron fracture reactive barriers for remediating chlorinated solvent contaminants in fractured aquifers. Presented at Groundwater Quality 2007 Conference - Securing Groundwater Quality in Urban and Industrial Environments, GQ'07, Fremantle, WA, Australia

A novel remediation strategy, the zero-valent iron fracture reactive barrier (Fe0 FRB), is proposed to clean up chlorinated solvent pollution of groundwater in a fractured aquifer. A Fe0 FRB is an extended reactive zone where the fractures are partly... Read More about Zero-valent iron fracture reactive barriers for remediating chlorinated solvent contaminants in fractured aquifers.

Modelling a field-scale compressed air energy storage in porous rock reservoirs
Presentation / Conference Contribution
Yang, L., Guo, C., Li, C., He, Q., Zhang, K., & Cai, Z. (2019, August). Modelling a field-scale compressed air energy storage in porous rock reservoirs. Presented at International Conference on Applied Energy 2019, Västerås, Sweden

Compressed Air Energy Storage (CAES) is one of the promising methods to store the surplus solar and wind energy
in a grid scale . In this study, we used a non-isothermal multiphase flow simulator to model a field-scale study o... Read More about Modelling a field-scale compressed air energy storage in porous rock reservoirs.

Impedance Matching Network Based on Metasurface (2-D Metamaterials) for Electrically Small Antennas
Presentation / Conference Contribution
Limiti, . E., Falcone, F., Abd-Alhameed, R. A., Virdee, B. S., Alibakhshikenari, M., & See, C. H. (2020, July). Impedance Matching Network Based on Metasurface (2-D Metamaterials) for Electrically Small Antennas. Presented at 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, Montréal, Québec, Canada

The paper shows the gain-bandwidth limitations of traditional discrete component matching used in electrically small antennas can be overcome by implementing the impedance matching network with metasurface. The proposed metasurface can optimize maxim... Read More about Impedance Matching Network Based on Metasurface (2-D Metamaterials) for Electrically Small Antennas.

Energy Harvesting Circuit with High RF-to-DC Conversion Efficiency
Presentation / Conference Contribution
Limiti, E., Falcone, F., Abd-Alhameed, R. A., Virdee, . B. S., Alibakhshikenari, M., & See, C. H. (2020, July). Energy Harvesting Circuit with High RF-to-DC Conversion Efficiency. Presented at 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, Montréal, Québec, Canada

This paper presents an energy harvesting circuit for high efficiency performance. The proposed circuit consists of an RLC shunt resonance circuit integrated to a RF antenna. The resonance circuit is used to (i) selectively pick the desired signal who... Read More about Energy Harvesting Circuit with High RF-to-DC Conversion Efficiency.

DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions
Presentation / Conference Contribution
Song, W., Hernandez Perez, F., Tingas, A.-E., & Im, H. G. (2020, January). DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions. Presented at AIAA Scitech 2020 Forum, Orlando, FL

To investigate the turbulent flame speed at high Karlovitz number (Ka) conditions, high fidelity direct numerical simulations (DNS) of lean hydrogen/air premixed flames propagating in a channel are performed with forced turbulence. The turbulent flame sp... Read More about DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions.

Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames
Presentation / Conference Contribution
Hernandez Perez, F. E., Im, H. G., & Tingas, A. E. (2020, January). Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames. Presented at AIAA Scitech 2020 Forum, Orlando, FL

A computational study of steady, rod-stabilized, inverted, lean, CH4-air and H2-CH4-air flames is conducted. For the CH4-air flames, either decreasing the inlet equivalence ratio or increasing the mean inflow velocity leads to a larger standoff dista... Read More about Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames.

Dynamics Analysis of a Turbulent Methane Flame in MILD Combustion Conditions
Presentation / Conference Contribution
Manias, D. M., Tingas, E.-A., Im, H. G., & Minamoto, Y. (2019, January). Dynamics Analysis of a Turbulent Methane Flame in MILD Combustion Conditions. Presented at AIAA Scitech 2019 Forum, San Diego, California

The dominant physical processes that characterize the combustion of a lean methane/air mixture, diluted with exhaust gas recirculation (EGR), under turbulent MILD premixed conditions are identified using the combined approaches of Computational Singu... Read More about Dynamics Analysis of a Turbulent Methane Flame in MILD Combustion Conditions.

Analysis of Hydrogen/Air Turbulent Premixed Flames at Different Karlovitz Numbers Using Computational Singular Perturbation
Presentation / Conference Contribution
Manias, D. M., Tingas, E.-A., Hernández Pérez, F. E., Im, H. G., Galassi, R. M., Ciottoli, P. P., & Valorani, M. (2018, January). Analysis of Hydrogen/Air Turbulent Premixed Flames at Different Karlovitz Numbers Using Computational Singular Perturbation. Presented at 2018 AIAA Aerospace Sciences Meeting, Kissimmee, Florida

The dynamics and structure of two turbulent H2/air premixed flames, representative of the corrugated flamelet (Case 1) and thin reaction zone (Case 2) regimes, are analyzed and compared, using the computational singular perturbation (CSP) tools, by i... Read More about Analysis of Hydrogen/Air Turbulent Premixed Flames at Different Karlovitz Numbers Using Computational Singular Perturbation.

An adaptive hybrid scheduling algorithm for LTE-Advanced
Presentation / Conference Contribution
Barakat, B., & Arshad, K. (2015, April). An adaptive hybrid scheduling algorithm for LTE-Advanced. Presented at 2015 22nd International Conference on Telecommunications (ICT), Sydney, Australia

The 3 rd Generation Partnership Project (3GPP) introduced Long Term Evolution (LTE) in release 8, and afterwards it was updated significantly in later releases (referred to as LTE-Advanced). LTE and LTE-Advanced (LTE-A) aim to achieve higher spectral... Read More about An adaptive hybrid scheduling algorithm for LTE-Advanced.

Coverage and capacity self-optimisation in LTE-Advanced using active antenna systems
Presentation / Conference Contribution
Sharsheer, M., Barakat, B., & Arshad, K. (2016, April). Coverage and capacity self-optimisation in LTE-Advanced using active antenna systems. Presented at 2016 IEEE Wireless Communications and Networking Conference (WCNC), Doha, Qatar

In order to enhance the Long Term Evolution (LTE) network performance, the Third Generation Partnership Project (3GPP) introduced Coverage and Capacity Optimisation (CCO) in the context of Self Organising Network (SON). Antenna parameters (i.e. azimu... Read More about Coverage and capacity self-optimisation in LTE-Advanced using active antenna systems.

Energy efficient scheduling in LTE-advanced for Machine Type Communication
Presentation / Conference Contribution
Barakat, B., & Arshad, K. (2015, October). Energy efficient scheduling in LTE-advanced for Machine Type Communication. Presented at 2015 International Conference and Workshop on Computing and Communication (IEMCON), Vancouver, BC, Canada

Machine Type Communication (MTC) is gaining an enormous interest among communication industry and academia all around the world. The variety of services offered by MTC is expected to significantly increase the number of MTC Devices (MTCD) on wireless... Read More about Energy efficient scheduling in LTE-advanced for Machine Type Communication.

Energy efficient carrier aggregation for LTE-Advanced
Presentation / Conference Contribution
Barakat, B., & Arshad, K. (2015, February). Energy efficient carrier aggregation for LTE-Advanced. Presented at 2015 IEEE 8th GCC Conference and Exhibition (GCCCE), Muscat, Oman

Traditional wireless and mobile network focuses on higher throughout, coverage and larger capacity. In future, energy efficiency is of vital importance for wireless networks due to a large number of connected and battery constrained mobile devices. I... Read More about Energy efficient carrier aggregation for LTE-Advanced.

How to Measure the Average and Peak Age of Information in Real Networks?
Presentation / Conference Contribution
Barakat, B., Yassine, H., Keates, S., Wassell, I., & Arshad, K. (2019, May). How to Measure the Average and Peak Age of Information in Real Networks?. Presented at European Wireless 2019, Aarhus, Denmark

The Age of information (AoI) was proposed in the literature to quantify the freshness of information. The majority of the work done in this area has theoretically evaluated AoI and its Peak (PAoI). In this paper, a method for obtaining the value of A... Read More about How to Measure the Average and Peak Age of Information in Real Networks?.

Adaptive Status Arrivals Policy (ASAP) Delivering Fresh Information (Minimise Peak Age) in Real World Scenarios
Presentation / Conference Contribution
Barakat, B., Keates, S., Wassell, I., & Arshad, K. (2019, July). Adaptive Status Arrivals Policy (ASAP) Delivering Fresh Information (Minimise Peak Age) in Real World Scenarios. Presented at HCII: International Conference on Human-Computer Interaction, Orlando, US

Real-time systems make their decisions based on information communicated from sensors. Consequently, delivering information in a timely manner is critical to such systems. In this paper, a policy for delivering fresh information (or minimising the Pe... Read More about Adaptive Status Arrivals Policy (ASAP) Delivering Fresh Information (Minimise Peak Age) in Real World Scenarios.

Phonemes: An Explanatory Study Applied to Identify a Speaker
Presentation / Conference Contribution
Kinkiri, S., Barakat, B., & Keates, S. (2020, July). Phonemes: An Explanatory Study Applied to Identify a Speaker. Presented at MIND: International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, Silchar, India

Speaker Identification (SI) is a process of identifying a speaker automatically via a machine using the speaker’s voice. In SI, one speaker’s voice is compared with n- number of speakers’ templates within the reference database to find the best match... Read More about Phonemes: An Explanatory Study Applied to Identify a Speaker.

Assistive Technology for the Visually Impaired: Optimizing Frame Rate (Freshness) to Improve the Performance of Real-Time Objects Detection Application
Presentation / Conference Contribution
Barakat, B., Steponenaite, A., Lall, G. S., Arshad, K., Wassell, I. J., & Keates, S. (2020, July). Assistive Technology for the Visually Impaired: Optimizing Frame Rate (Freshness) to Improve the Performance of Real-Time Objects Detection Application. Presented at 14th International Conference, UAHCI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark

It has been 100+ years since the world’s first commercial radio station started. This century witnessed several astonishing inventions (e.g. the computer, internet and mobiles) that have shaped the way we work and socialize. With the start of a new d... Read More about Assistive Technology for the Visually Impaired: Optimizing Frame Rate (Freshness) to Improve the Performance of Real-Time Objects Detection Application.