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Outputs (98)

Reducing delay in patients with acute coronary syndrome and other time-critical conditions: a systematic review to identify the behaviour change techniques associated with effective interventions (2019)
Journal Article
Farquharson, B., Abhyankar, P., Smith, K., Dombrowski, S. U., Treweek, S., Dougall, N., Williams, B., & Johnston, M. (2019). Reducing delay in patients with acute coronary syndrome and other time-critical conditions: a systematic review to identify the behaviour change techniques associated with effective interventions. Open Heart, 6(1), Article e000975. https://doi.org/10.1136/openhrt-2018-000975

Background: Time to treatment in many conditions, particularly acute coronary syndrome, is critical to reducing mortality. Delay between onset of symptoms and treatment remains a worldwide problem. Reducing patient delay has been particularly challen... Read More about Reducing delay in patients with acute coronary syndrome and other time-critical conditions: a systematic review to identify the behaviour change techniques associated with effective interventions.

Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities (2019)
Journal Article
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., Brindley, P., & Liotta, A. (2019). Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217

The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data from our cities. In this paper, we investigate a novel way of analyzing dat... Read More about Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities.

The benefits of contextual information for speech recognition systems (2018)
Presentation / Conference Contribution
Kinch, M. W., Melis, W. J., & Keates, S. (2018, September). The benefits of contextual information for speech recognition systems. Presented at The 10th Computer Science and Electronic Engineering (CEEC'18), University of Essex, Colchester, United Kingdom

This paper demonstrates the significance of using contextual information in machine learning and speech recognition. While the benefits of contextual information in human communication are widely known, their significance is rarely explored or discus... Read More about The benefits of contextual information for speech recognition systems.

A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task (2018)
Presentation / Conference Contribution
Mackamul, E. B., & Esteves, A. (2018, October). A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task. Presented at 6th ACM Symposium on Spatial User Interaction, Berlin, Germany

This paper presents a comparative study between two popular AR systems during a collocated collaborative task. The goal of the study is to start a body of knowledge that describes the effects of different AR approaches in users' experience and perfor... Read More about A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task.

Helping Student Nurses Learn the Craft of Compassionate Care: A Relational Model. (2018)
Journal Article
Adamson, L. (2018). Helping Student Nurses Learn the Craft of Compassionate Care: A Relational Model. Journal of Perspectives in Applied Academic Practice, 6(3), 91-96. https://doi.org/10.14297/jpaap.v6i3.376

This on the horizon article proposes a relational model for enabling the development of skills and attributes associated with
‘compassionate craftsmanship’ in the developing nurse. This pedagogic model was informed by findings from the author’s
res... Read More about Helping Student Nurses Learn the Craft of Compassionate Care: A Relational Model..

Interference graphs to monitor and control schedules in low-power WPAN (2018)
Journal Article
van der Lee, T., Liotta, A., & Exarchakos, G. (2019). Interference graphs to monitor and control schedules in low-power WPAN. Future Generation Computer Systems, 93, 111-120. https://doi.org/10.1016/j.future.2018.10.014

Highlights
• This study presents the complete and slotted interference graph model.
• The service uses the complete interference graph to evaluate the network.
• Slotted interference graphs are used to reschedule problematic connections.
• Rea... Read More about Interference graphs to monitor and control schedules in low-power WPAN.

Designing vehicle sounds (2018)
Digital Artefact
McGregor, I. (2018). Designing vehicle sounds. [Website]

Sound is intrinsically linked to vehicles, drivers use it to monitor their actions and vehicle mechanical condition. Pedestrians and other road users rely on sound to prevent accidents. Motoring authorities in the EU, Japan and USA are concerned abou... Read More about Designing vehicle sounds.

Transforming Care After Treatment Partnership, Integration and Co-ordination (2018)
Report
Campbell, K., & Johnston, L. (2018). Transforming Care After Treatment Partnership, Integration and Co-ordination. Scotland: Macmillan Cancer Support

This Bulletin presents the evidence and learning on the implementation of holistic needs assessment (HNA) within 11 completed local projects from the national evaluative perspective. The data sources used are given in Appendix One.
It focuses on dif... Read More about Transforming Care After Treatment Partnership, Integration and Co-ordination.

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science (2018)
Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018). Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), Article 2383. https://doi.org/10.1038/s41467-018-04316-3

Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from the network properties of biological neural networks (e.g. sparsity, scale-... Read More about Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science.

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0 (2018)
Journal Article
Pace, P., Aloi, G., Gravina, R., Caliciuri, G., Fortino, G., & Liotta, A. (2019). An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics, 15(1), 481-489. https://doi.org/10.1109/tii.2018.2843169

Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and the huge amount of data coming from Internet of Things (IoT) devices toward... Read More about An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0.

On-Line Building Energy Optimization Using Deep Reinforcement Learning (2018)
Journal Article
Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M., & Slootweg, J. G. (2019). On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid, 10(4), 3698-3708. https://doi.org/10.1109/tsg.2018.2834219

Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and operation of the future power systems and to help customers transition from a passive to an... Read More about On-Line Building Energy Optimization Using Deep Reinforcement Learning.

A Review of Predictive Quality of Experience Management in Video Streaming Services (2018)
Journal Article
Torres Vega, M., Perra, C., De Turck, F., & Liotta, A. (2018). A Review of Predictive Quality of Experience Management in Video Streaming Services. IEEE Transactions on Broadcasting, 64(2), 432-445. https://doi.org/10.1109/tbc.2018.2822869

Satisfying the requirements of devices and users of online video streaming services is a challenging task. It requires not only managing the network quality of service but also to exert real-time control, addressing the user's quality of experience (... Read More about A Review of Predictive Quality of Experience Management in Video Streaming Services.

Maker Movements, Do-It-Yourself Cultures and Participatory Design: Implications for HCI Research (2018)
Presentation / Conference Contribution
Smyth, M., Helgason, I., Kresin, F., Balestrini, M., Unteidig, A. B., Lawson, S., Gaved, M., Taylor, N., Auger, J., Hansen, L. K., Schuler, D. C., Woods, M., & Dourish, P. (2018, April). Maker Movements, Do-It-Yourself Cultures and Participatory Design: Implications for HCI Research. Presented at 2018 CHI Conference on Human Factors in Computing Systems - CHI '18, Montreal, Canada

Falling costs and the wider availability of computational components, platforms and ecosystems have enabled the expansion of maker movements and DIY cultures. This can be considered as a form of democratization of technology systems design, in alignm... Read More about Maker Movements, Do-It-Yourself Cultures and Participatory Design: Implications for HCI Research.

Exploration of the perceived impact of carer involvement in mental health nurse education: Values, attitudes and making a difference (2018)
Journal Article
McIntosh, G. (2018). Exploration of the perceived impact of carer involvement in mental health nurse education: Values, attitudes and making a difference. Nurse Education in Practice, 29, 172-178. https://doi.org/10.1016/j.nepr.2018.01.009

The active involvement of people with lived experience of mental health (MH) issues and their carers is recognised as good practice internationally. Academic settings are seen to be an ideal, although potentially privileged, environments in which to... Read More about Exploration of the perceived impact of carer involvement in mental health nurse education: Values, attitudes and making a difference.

Self-Learning Power Control in Wireless Sensor Networks (2018)
Journal Article
Chincoli, M., & Liotta, A. (2018). Self-Learning Power Control in Wireless Sensor Networks. Sensors, 18(2), Article 375. https://doi.org/10.3390/s18020375

Current trends in interconnecting myriad smart objects to monetize on Internet of Things applications have led to high-density communications in wireless sensor networks. This aggravates the already over-congested unlicensed radio bands, calling for... Read More about Self-Learning Power Control in Wireless Sensor Networks.

Decentralized dynamic understanding of hidden relations in complex networks (2018)
Journal Article
Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018). Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4

Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in such networks, on the order of billions and higher, which makes it impossibl... Read More about Decentralized dynamic understanding of hidden relations in complex networks.

Resilience of Video Streaming Services to Network Impairments (2018)
Journal Article
Torres Vega, M., Perra, C., & Liotta, A. (2018). Resilience of Video Streaming Services to Network Impairments. IEEE Transactions on Broadcasting, 64(2), 220-234. https://doi.org/10.1109/tbc.2017.2781125

When dealing with networks, performance management through conventional quality of service (QoS)-based methods becomes difficult and is often ineffective. In fact, quality emerges as an end-to-end factor, for it is particularly sensitive to the end-u... Read More about Resilience of Video Streaming Services to Network Impairments.

Exploring Musical Creativity through Interactive Cymatics (2017)
Presentation / Conference Contribution
McGowan, J., Leplatre, G., & McGregor, I. (2017, July). Exploring Musical Creativity through Interactive Cymatics. Presented at HCI 2017 - Digital make-believe, Sunderland, UK

What does music look like? Representation of sound has taken many forms over time, from sinusoidal wave patterns, through to random algorithm-based visualisations based on the amplitude of an audio signal. One aspect of music visualisation that has n... Read More about Exploring Musical Creativity through Interactive Cymatics.

Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks (2017)
Journal Article
Torres Vega, M., Koonen, A. M. J., Liotta, A., & Famaey, J. (2018). Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE Wireless Communications Letters, 7(2), 278-281. https://doi.org/10.1109/lwc.2017.2771771

In light of the extreme radio congestion, the time has come to consider the upper parts of the electromagnetic spectrum. Optical beam-steered wireless communications offer great potential for future indoor short-range connectivity, due to virtually u... Read More about Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks.