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A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing
Presentation / Conference Contribution
Benzaïd, C., Taleb, T., Sami, A., & Hireche, O. (2023, December). A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing. Presented at GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia

Network slicing is recognized as a key enabler for 5G and beyond (B5G) services. However, its dynamic nature and the growing sophistication of DDoS attacks put it at risk of Economical Denial of Sustainability (EDoS) attack, causing economic losses t... Read More about A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing.

Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System
Presentation / Conference Contribution
Gupta, A., Bishnu, A., Ratnarajah, T., Adeel, A., Hussain, A., & Sellathurai, M. (2023, December). Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System. Presented at GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia

Designing an efficient receiver for multiple users transmitting orthogonal frequency-division multiplexing signals to the base station remain a challenging interference-limited problem in 5G-new radio (5G-NR) system. This can lead to stagnation of de... Read More about Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System.

Establishing A Timber-Focused Competency Framework To Up- And Re-Skill Built Environment Professionals To Meet Sustainability Goals Sustainability Goals
Presentation / Conference Contribution
Hitt, S. J., Hairstans, R., & Connell-Skinner, K. (2023, September). Establishing A Timber-Focused Competency Framework To Up- And Re-Skill Built Environment Professionals To Meet Sustainability Goals Sustainability Goals. Presented at 51st Annual Conference of the European Society for Engineering Education (SEFI) 2023, Dublin, Ireland

Engineers equipped with skills for a sustainable built environment have never been more critical, as government and industry sustainability goals such as the 2050 net zero target have significant implications for the construction sector. Concurrently... Read More about Establishing A Timber-Focused Competency Framework To Up- And Re-Skill Built Environment Professionals To Meet Sustainability Goals Sustainability Goals.

Proposal For New Certificate Course: Level 5 Certificate in Arts, Science and Inclusive Applied Practice
Other
Spassiani, N. Proposal For New Certificate Course: Level 5 Certificate in Arts, Science and Inclusive Applied Practice

Accredited Curriculum Development
Spassiani, N.A. & the Arts, Science and Inclusive Applied Practice Co-ordinating Committee. (2016). The Arts, Science and Inclusive Applied Practice Programme (Level 5 major award NFQ accreditation). Trinity College... Read More about Proposal For New Certificate Course: Level 5 Certificate in Arts, Science and Inclusive Applied Practice.

Phased Array with Radiation-mode Reconfigurability for 28 GHz Cognitive Cellular Communications
Presentation / Conference Contribution
Ojaroudi Parchin, N., Alibakhshikenari, M., See, C. H., Abd-Alhameed, R. A., & Limiti, E. (2023, July). Phased Array with Radiation-mode Reconfigurability for 28 GHz Cognitive Cellular Communications. Presented at 2023 Photonics & Electromagnetics Research Symposium (PIERS), Prague, Czechia

A beam-steerable phased array with highly-miniaturized resonators and radiation-mode reconfigurability is studied in this paper for 28 GHz 5G cellular cognitive networks. Simple and straightforward design procedures are followed. Eight modified T-sha... Read More about Phased Array with Radiation-mode Reconfigurability for 28 GHz Cognitive Cellular Communications.

Towards Pose-Invariant Audio-Visual Speech Enhancement in the Wild for Next-Generation Multi-Modal Hearing Aids
Presentation / Conference Contribution
Gogate, M., Dashtipour, K., & Hussain, A. (2023, June). Towards Pose-Invariant Audio-Visual Speech Enhancement in the Wild for Next-Generation Multi-Modal Hearing Aids. Presented at 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece

Classical audio-visual (AV) speech enhancement (SE) and separation methods have been successful at operating under constrained environments; however, the speech quality and intelligibility improvement is significantly reduced in unconstrained real-wo... Read More about Towards Pose-Invariant Audio-Visual Speech Enhancement in the Wild for Next-Generation Multi-Modal Hearing Aids.

Live Demonstration: Real-time Multi-modal Hearing Assistive Technology Prototype
Presentation / Conference Contribution
Gogate, M., Hussain, A., Dashtipour, K., & Hussain, A. (2023, May). Live Demonstration: Real-time Multi-modal Hearing Assistive Technology Prototype. Presented at 2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, California

Hearing loss affects at least 1.5 billion people globally. The WHO estimates 83% of people who could benefit from hearing aids do not use them. Barriers to HA uptake are multifaceted but include ineffectiveness of current HA technology in noisy envir... Read More about Live Demonstration: Real-time Multi-modal Hearing Assistive Technology Prototype.

Live Demonstration: Cloud-based Audio-Visual Speech Enhancement in Multimodal Hearing-aids
Presentation / Conference Contribution
Bishnu, A., Gupta, A., Gogate, M., Dashtipour, K., Arslan, T., Adeel, A., Hussain, A., Sellathurai, M., & Ratnarajah, T. (2023, May). Live Demonstration: Cloud-based Audio-Visual Speech Enhancement in Multimodal Hearing-aids. Presented at 2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, California

Hearing loss is among the most serious public health problems, affecting as much as 20% of the worldwide population. Even cutting-edge multi-channel audio-only speech enhancement (SE) algorithms used in modern hearing aids face significant hurdles si... Read More about Live Demonstration: Cloud-based Audio-Visual Speech Enhancement in Multimodal Hearing-aids.

Formulations and Algorithms to Find Maximal and Maximum Independent Sets of Graphs
Presentation / Conference Contribution
Heal, M., Dashtipour, K., & Gogate, M. (2022, December). Formulations and Algorithms to Find Maximal and Maximum Independent Sets of Graphs. Presented at 2022 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, Nevada

We propose four algorithms to find maximal and maximum independent sets of graphs. Two of the algorithms are non-polynomial in time, mainly binary programming and non-convex multi-variable polynomial programming algorithms. Two other algorithms run i... Read More about Formulations and Algorithms to Find Maximal and Maximum Independent Sets of Graphs.

A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids
Presentation / Conference Contribution
Bishnu, A., Gupta, A., Gogate, M., Dashtipour, K., Adeel, A., Hussain, A., Sellathurai, M., & Ratnarajah, T. (2022, October). A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids. Presented at 2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom), Genoa, Italy

In this paper, we design a first of its kind transceiver (PHY layer) prototype for cloud-based audio-visual (AV) speech enhancement (SE) complying with high data rate and low latency requirements of future multimodal hearing assistive technology. The... Read More about A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids.

A Novel Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning
Presentation / Conference Contribution
Hussain, T., Diyan, M., Gogate, M., Dashtipour, K., Adeel, A., Tsao, Y., & Hussain, A. (2022, July). A Novel Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning. Presented at 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, Scotland

Current deep learning (DL) based approaches to speech intelligibility enhancement in noisy environments are often trained to minimise the feature distance between noise-free speech and enhanced speech signals. Despite improving the speech quality, su... Read More about A Novel Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning.

Minimum dry density in terms of grading entropy coordinates
Presentation / Conference Contribution
Imre, E., Barreto, D., Datcheva, M., Singh, V. P., Baillie, W., Feng, S., & Firgi, T. (2023, August). Minimum dry density in terms of grading entropy coordinates. Presented at 17arc - 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering 2023, Astana, Kazakhstan

In this paper, the grading entropy method is applied together with advanced interpolation methods in order to establish empirical relationships between grading entropy coordinates and minimum dry density of sands. Three databases consisting of 94 sam... Read More about Minimum dry density in terms of grading entropy coordinates.

The permeability variables of granular matter
Presentation / Conference Contribution
Imre, E., Illes, Z., Balint, A., Gonzales, H., Repassy, L., Quynh Huong, D. T., Lopez, L. L., Barreto, D., Guida, G., Datcheva, M., Baillie, W., & Singh, V. P. (2022, May). The permeability variables of granular matter. Presented at VIth International Symposium-2022 “Biosphere & Environmental Safety”, Obuda University, Hungary

No “unique” relation between soil parameters and grading curves of granular matter can be elaborated. In case some statistics are used (e.g., d10), then infinite many grading curves may be related to the same value of it. Moreover, several densities... Read More about The permeability variables of granular matter.

Model Fitting for Determining the Parameter of the Pore Size Distribution
Presentation / Conference Contribution
Imre, E., Mwinken, D. K., & Barreto, D. (2023, November). Model Fitting for Determining the Parameter of the Pore Size Distribution. Presented at 9th International Scientific Conference on Advances in Mechanical Engineering (ISCAME 2023), Debrecen, Hungary

The computation of the SWCC requires prior estimation of the pore-size distribution (POSD) which is computed from the PSD. The process described in detail by [1-3]. It needs a value of a which is a model parameter related to particle shape and orient... Read More about Model Fitting for Determining the Parameter of the Pore Size Distribution.

The use of grading entropy in assessing granular soil hydraulic conductivity
Presentation / Conference Contribution
Feng, S., Vardanega, P., Ibraim, E., Barreto, D., & Imre, E. (2023, August). The use of grading entropy in assessing granular soil hydraulic conductivity. Presented at 17arc - 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering 2023, Astana, Kazakhstan

Hydraulic conductivity is an important geotechnical engineering property as it is linked to the performance of many geo-structures. This study used a recently compiled granular soil database (CG/KSAT/7/1278) to evaluate the best fit probability densi... Read More about The use of grading entropy in assessing granular soil hydraulic conductivity.

Particle size distribution induced fabric effects on the onset and post liquefaction behaviours of soils
Presentation / Conference Contribution
Leak, J., & Barreto, D. (2024, August). Particle size distribution induced fabric effects on the onset and post liquefaction behaviours of soils. Presented at XVIII European Conference on Soil Mechanics and Geotechnical Engineering, Lisbon, Portugal

Liquefaction in soils is a detrimental phenomenon. Microscale behaviours and their influence on the macroscale response during and after the onset of liquefaction are not well understood. In particular, how contact behaviours effect macroscale proper... Read More about Particle size distribution induced fabric effects on the onset and post liquefaction behaviours of soils.

Using grain size distribution to estimate permeability
Presentation / Conference Contribution
Imre, E., Bálint, Á., Houng, D. T. Q., López, L. L., Répássy, L., Mwinken, D. K., Illés, Z., Datcheva, M., Baille, W., Barreto, D., Leak, J., & Feng, S. (2024, August). Using grain size distribution to estimate permeability. Presented at XVIII European Conference on Soil Mechanics and Geotechnical Engineering, Lisbon, Portugal

This study examines the saturated water permeability using samples of loose and dense 2-fraction coarse sand mixtures. Besides the non-normalised entropy variables some additional parameters like density, diameter descriptors are used to characterize... Read More about Using grain size distribution to estimate permeability.

Design Ethics Thought Experiments
Other
Buwert, P. Design Ethics Thought Experiments. [Printable PDF resource file]

Printable resource:
Participant pack of thought experiment worksheets for use in facilitated Design Ethics Training Workshop. This pdf file is designed for double sided printing on landscape A3 paper. Worksheets numbered 1-6 should be folded vertic... Read More about Design Ethics Thought Experiments.

Solar Salt Latent Heat Thermal Storage for a Small Solar Organic Rankine Cycle Plant
Presentation / Conference Contribution
Costa, S.-C., Mahkamov, K., Kenisarin, M., Lynn, K., Halimic, E., & Mullen, D. (2018, June). Solar Salt Latent Heat Thermal Storage for a Small Solar Organic Rankine Cycle Plant. Presented at ASME 2018 12th International Conference on Energy Sustainability collocated with the ASME 2018 Power Conference and the ASME 2018 Nuclear Forum, Lake Buena Vista, USA

The design of the Latent Heat Thermal Storage System (LHTESS) was developed with thermal capacity of about 100 kWh as a part of small solar plant, based on the Organic Rankine Cycle (ORC). The phase change material (PCM) used is Solar salt with the m... Read More about Solar Salt Latent Heat Thermal Storage for a Small Solar Organic Rankine Cycle Plant.