All Outputs (11168)

Black box modelling of a latent heat thermal energy storage system coupled with heat pipes
Presentation / Conference Contribution
Arteconi, A., Ferracuti, F., Tascioni, R., Mahkamov, K., Kenisarin, M., Costa, C., Cabeza, L. F., de Gracia, A., Halimic, E., Mullen, D., Lynn, K., & Cioccolanti, L. Black box modelling of a latent heat thermal energy storage system coupled with heat pipes. Presented at 19th International Heat Pipe Conference and 13th International Heat Pipe Symposium (IHPC 2018), Pisa, Italy

This paper presents black box models to represent a LHTESS (Latent Heat Thermal Energy Storage System) coupled with heat pipes, aimed at increasing the storage performance and at decreasing the time of charging/discharging. The presented storage syst... Read More about Black box modelling of a latent heat thermal energy storage system coupled with heat pipes.

Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?
Presentation / Conference Contribution
Al-Shareeda, S., Oktug, S. F., Yaslan, Y., Yurdakul, G., & Canberk, B. (2024, January). Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?. Presented at 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA

This paper investigates the potential of Digital Twins (DTs) to enhance network performance in densely populated urban areas, specifically focusing on vehicular networks. The study comprises two phases. In Phase I, we utilize traffic data and AI clus... Read More about Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?.

Investigating Markers and Drivers of Gender Bias in Machine Translations
Presentation / Conference Contribution
Barclay, P., & Sami, A. (2024, March). Investigating Markers and Drivers of Gender Bias in Machine Translations. Presented at IEEE International Conference on Software Analysis, Evolution and Reengineering, Rovaniemi, Finland

Implicit gender bias in Large Language Models (LLMs) is a well-documented problem, and implications of gender introduced into automatic translations can perpetuate real-world biases. However, some LLMs use heuristics or post-processing to mask such b... Read More about Investigating Markers and Drivers of Gender Bias in Machine Translations.

Towards intelligibility-oriented audio-visual speech enhancement
Presentation / Conference Contribution
Hussain, T., Gogate, M., Dashtipour, K., & Hussain, A. (2021, September). Towards intelligibility-oriented audio-visual speech enhancement. Presented at The Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2021), Online

Existing deep learning (DL) based approaches are generally optimised to minimise the distance between clean and enhanced speech features. These often result in improved speech quality however they suffer from a lack of generalisation and may not deli... Read More about Towards intelligibility-oriented audio-visual speech enhancement.

Audio-visual speech enhancement and separation by leveraging multimodal self-supervised embeddings
Presentation / Conference Contribution
Chern, I.-C., Hung, K.-H., Chen, Y.-T., Hussain, T., Gogate, M., Hussain, A., Tsao, Y., & Hou, J.-C. (2023, June). Audio-visual speech enhancement and separation by leveraging multimodal self-supervised embeddings. Presented at 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece

AV-HuBERT, a multi-modal self-supervised learning model, has been shown to be effective for categorical problems such as automatic speech recognition and lip-reading. This suggests that useful audio-visual speech representations can be obtained via u... Read More about Audio-visual speech enhancement and separation by leveraging multimodal self-supervised embeddings.

Application for Real-time Audio-Visual Speech Enhancement
Presentation / Conference Contribution
Gogate, M., Dashtipour, K., & Hussain, A. (2023, August). Application for Real-time Audio-Visual Speech Enhancement. Presented at Interspeech 2023, Dublin, Ireland

This short paper demonstrates a first of its kind audio-visual (AV) speech enhancement (SE) desktop application that isolates, in real-time, the voice of a target speaker from noisy audio input. The deep neural network model integrated in this applic... Read More about Application for Real-time Audio-Visual Speech Enhancement.

Towards Next-Generation Lip-Reading Driven Hearing-Aids: A preliminary Prototype Demo
Presentation / Conference Contribution
Adeel, A., Gogate, M., & Hussain, A. (2017, August). Towards Next-Generation Lip-Reading Driven Hearing-Aids: A preliminary Prototype Demo. Presented at 1st International Workshop on Challenges in Hearing Assistive Technology (CHAT 2017), Stockholm, Sweden

Speech enhancement aims to enhance the perceived speech quality and intelligibility in the presence of noise. Classical speech enhancement methods are mainly based on audio only processing which often perform poorly in adverse conditions, where overw... Read More about Towards Next-Generation Lip-Reading Driven Hearing-Aids: A preliminary Prototype Demo.

Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids
Presentation / Conference Contribution
Nezamdoust, A., Gogate, M., Dashtipour, K., Hussain, A., & Comminiello, D. (2023, June). Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids. Presented at 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece

The problem of feedback cancellation can be seen as a function approximation task, which often is nonlinear in real-world hearing assistive technologies. Nonlinear methods adopted for this task must exhibit outstanding modeling performance and reduce... Read More about Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids.

Audio-visual speech enhancement and separation by utilizing multi-modal self-supervised embeddings
Presentation / Conference Contribution
Chern, I.-C., Hung, K.-H., Chen, Y.-T., Hussain, T., Gogate, M., Hussain, A., Tsao, Y., & Hou, J.-C. (2023, June). Audio-visual speech enhancement and separation by utilizing multi-modal self-supervised embeddings. Presented at 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece

AV-HuBERT, a multi-modal self-supervised learning model, has been shown to be effective for categorical problems such as automatic speech recognition and lip-reading. This suggests that useful audio-visual speech representations can be obtained via u... Read More about Audio-visual speech enhancement and separation by utilizing multi-modal self-supervised embeddings.

5G-IoT Cloud based Demonstration of Real-Time Audio-Visual Speech Enhancement for Multimodal Hearing-aids
Presentation / Conference Contribution
Gupta, A., Bishnu, A., Gogate, M., Dashtipour, K., Arslan, T., Adeel, A., Hussain, A., Ratnarajah, T., & Sellathurai, M. (2023, August). 5G-IoT Cloud based Demonstration of Real-Time Audio-Visual Speech Enhancement for Multimodal Hearing-aids. Presented at Interspeech 2023, Dublin, Ireland

Over twenty percent of the world's population suffers from some form of hearing loss, making it one of the most significant public health challenges. Current hearing aids commonly amplify noises while failing to improve speech comprehension in crowde... Read More about 5G-IoT Cloud based Demonstration of Real-Time Audio-Visual Speech Enhancement for Multimodal Hearing-aids.

Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins
Presentation / Conference Contribution
Kasarapu, S. S. K., Vasantha, G., Marzano, A., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August). Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins. Presented at 21st International Conference on Manufacturing Research (ICMR2024), Glasgow

This paper addresses a critical gap in digital twin simulation within manufacturing environments by focusing on the dynamic representation of worker movements during assembly processes. We introduce an innovative approach that utilizes Ultra-Wideband... Read More about Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins.

Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples
Presentation / Conference Contribution
Renau, Q., & Hart, E. (2024, July). Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples. Presented at GECCO 2024, Melbourne, Australia

The choice of input-data used to train algorithm-selection models is recognised as being a critical part of the model success. Recently, feature-free methods for algorithm-selection that use short trajec-tories obtained from running a solver as input... Read More about Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples.

Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking
Presentation / Conference Contribution
Ak, E., Huseynov, K., Canberk, B., Fahim, M., Dobre, O. A., & Duong, T. Q. (2023, December). Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking. Presented at 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS), Letterkenny, Ireland

The dairy farming industry plays a pivotal role in the agricultural sector. However, its environmental footprint, especially methane and nitrous oxide emissions, has raised concerns. Historically, the industry has relied on conventional methods to fo... Read More about Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking.

Design of a Social Media Voice Assistant for Older Adults
Presentation / Conference Contribution
Li, J., Qu, N. Z., & Penaranda Valdivia, K. (2022, December). Design of a Social Media Voice Assistant for Older Adults. Presented at International Conference on Social Robotics 2022, Florence, Italy

Older adults can increase their social cohesion and belongingness by accessing social media content. Voice is a particularly suitable modality for older adults. While general voice design guidelines for social media content exist, past work has not i... Read More about Design of a Social Media Voice Assistant for Older Adults.

The Aesthetics of Agency: Ethnofiction Recast in Generative Design Research for Illuminating Tacit and Latent Knowledge on Care Identity and Lens-based Technologies
Presentation / Conference Contribution
Morrison, J. (2023, October). The Aesthetics of Agency: Ethnofiction Recast in Generative Design Research for Illuminating Tacit and Latent Knowledge on Care Identity and Lens-based Technologies. Presented at 15th International Conference of the European Academy of Design, Online, Brazil, Finland, India, Spain, UK

This paper addresses gaps in understanding concerning trauma-informed processes and practices of knowledge and theory development in generative design research. Drawing on feminist scholarship, the research explores agential relationships between len... Read More about The Aesthetics of Agency: Ethnofiction Recast in Generative Design Research for Illuminating Tacit and Latent Knowledge on Care Identity and Lens-based Technologies.

Dealing with Problematic Asymmetries in Caregiving Relationships: A Role for Social Robots?
Presentation / Conference Contribution
Zijie Qu, N., Henderson, K., Li, J., & Chignell, M. (2022, October). Dealing with Problematic Asymmetries in Caregiving Relationships: A Role for Social Robots?. Presented at HFES 66th International Annual Meeting, Atlanta, USA

How can a third party (person or social robot) mitigate the negative aspects of the asymmetrical dyadic relationships associated with caregiving of the elderly? We start by examining the social-psychological structure of the relationship between give... Read More about Dealing with Problematic Asymmetries in Caregiving Relationships: A Role for Social Robots?.

Closeness with Robots as Social Partners
Presentation / Conference Contribution
Li, J., Sirkin, D., Van Erp, J., & Van Riemsdijk, B. (2019, March). Closeness with Robots as Social Partners. Presented at 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Daegu, Korea (South)

HRI researchers have explored how people behave toward technology agents, advancing the concept that people can attain “closeness” with technology itself in addition to a living social partner. Yet the topic of closeness with robots has not been full... Read More about Closeness with Robots as Social Partners.

Eldertainment or functional necessity? How virtual agents affect the home lives of people with dementia using the quality of life (QoL-AD) scale
Presentation / Conference Contribution
De Jong, M., Hettinga, M., Stara, V., Evers, V., & Li, J. (2019, September). Eldertainment or functional necessity? How virtual agents affect the home lives of people with dementia using the quality of life (QoL-AD) scale. Presented at UbiComp '19: The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing, London, UK

A large literature evaluates how virtual agents impact the lives of people with dementia using perceptions of technology. We assess how a home virtual agent from "Living Well with Anne" impacts the quality of life of elderly with dementia rather than... Read More about Eldertainment or functional necessity? How virtual agents affect the home lives of people with dementia using the quality of life (QoL-AD) scale.

VR-OOM: Virtual reality on-road driving simulation
Presentation / Conference Contribution
Goedicke, D., Li, J., Evers, V., & Ju, W. (2018, April). VR-OOM: Virtual reality on-road driving simulation. Presented at CHI '18: CHI Conference on Human Factors in Computing Systems, Montreal, Canada

Researchers and designers of in-vehicle interactions and interfaces currently have to choose between performing evaluation and human factors experiments in laboratory driving simulators or on-road experiments. To enjoy the benefit of customizable cou... Read More about VR-OOM: Virtual reality on-road driving simulation.

Dialogue Design for a Robot-Based Face-Mirroring Game to Engage Autistic Children with Emotional Expressions
Presentation / Conference Contribution
Chevalier, P., Li, J., Ainger, E., Alcorn, A., Babovic, S., Charisi, V., Petrovic, S., Schadenberg, B., Pellicano, E., & Evers, V. (2017, November). Dialogue Design for a Robot-Based Face-Mirroring Game to Engage Autistic Children with Emotional Expressions. Presented at ICSR 2017, Tsukuba, Japan

We present design strategies for Human Robot Interaction for school-aged autistic children with limited receptive language. Applying these strategies to the DE-ENIGMA project (large EU project addressing emotion recognition in autistic children) supp... Read More about Dialogue Design for a Robot-Based Face-Mirroring Game to Engage Autistic Children with Emotional Expressions.