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44 results

Towards simulation of patient data for evaluation of E-health platform and services.

Presentation / Conference
Lo, O., Fan, L., Buchanan, W. J., Thuemmler, C., & Lawson, A. (2012, June)
Towards simulation of patient data for evaluation of E-health platform and services. Paper presented at 13th Annual Post Graduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting, Liverpool
This paper presents the design and implementation of the Patient Simulator, a software application used for the simulation of patient data. The simulator aims to evaluate e- H...

An AI approach to Collecting and Analyzing Human Interactions with Urban Environments

Journal Article
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (2019)
An AI approach to Collecting and Analyzing Human Interactions with Urban Environments. IEEE Access, 7, 141476-141486. https://doi.org/10.1109/access.2019.2943845
Thanks to advances in Internet of Things and crowd-sensing, it is possible to collect vast amounts of urban data, to better understand how citizens interact with cities and, i...

Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach

Journal Article
Di Mauro, M., & Liotta, A. (2019)
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach. IEEE Transactions on Network and Service Management, 16(4), 1493-1506. https://doi.org/10.1109/tnsm.2019.2943776
The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provision...

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

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), 1-12. 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 ...

Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks

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 gre...

Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence

Journal Article
Salayma, M., Al-Dubai, A., Romdhani, I., & Nasser, Y. (2017)
Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence. ACM computing surveys, 50(1), 1-38. https://doi.org/10.1145/3041956
Wireless Body Area Network (WBAN) has been a key element in e-health to monitor bodies. This technology enables new applications under the umbrella of different domains, inclu...

Decentralized dynamic understanding of hidden relations in complex networks

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 s...

Review of e-Frailty evaluation frameworks.

Presentation / Conference
Smales, A., Buchanan, W. J., & Thuemmler, C. (2015, January)
Review of e-Frailty evaluation frameworks. Paper presented at HIS 2015, Edinburgh
This paper outlines some of the key methods used to evaluate frailty and provide important metrics for the implementation of an e-Frailty framework. Frailty is an emergent pro...

Resilience of Video Streaming Services to Network Impairments

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 eme...

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

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 t...
13 results

Scalable and Open Framework for Human/Digital Trust between Informal/Formal Personal Health Care Infrastructures

2011 - 2013
This project extends the e-Health Cloud-based Platform, and integrates with assisted living. The project integrates Edinburgh Napier University, Microsoft and HoIP, and has created a novel governance ...
Funder: Engineering and Physical Sciences Research Council | Value: £243,325

Personal health data manager

2012 - 2013
This SE/RSE Enterprise Fellowship aimed to commercialise intellectual property owned by Edinburgh Napier University related to e-Health data management into an end-user product. The project paved the ...
Funder: Royal Society of Edinburgh | Value: £32,926

Data Capture and Auto Identification Reference

2009 - 2011
This project relates to the research collaboration between Edinburgh Napier University, CipherLab, Chelsea and Westminster Hospital, GS1 UK, Imperial College, and Kodit, and is funded through a resear...
Funder: Innovate UK | Value: £227,172

Artificial Intelligence (AI)-powered dashboard for COVID-19 related public sentiment and opinion mining in social media platforms

2020 - 2020
: The project will aid in understanding and mitigating the direct and indirect impacts of the COVID-19 pandemic, by creating an AI-driven dashboard for policymakers, public health and clinical practit...
Funder: Chief Scientists Office | Value: £135,104

Trisent: Innovation Voucher for Personal Context Data Project

2018 - 2018
This is a small project to initiate an engagement following an unsuccessful application for a larger Data Lab project. Trisent’s core technology is called the Personal Context Management System (PCM...
Funder: Scottish Funding Council | Value: £5,000

PEPS-C software for Prosody

2009 - 2009
This IIDI project led by Alistair Lawson investigates the feasibility of developing a prototype Flash-based version of PEPS-C (Profiling Elements of Prosody in Speech-Communication).  This is a test w...
Funder: Queen Margaret University | Value: £7,460

AyeCan

2014 - 2014
Weight management is a key health issue within Scotland. The focus of this project is to develop an intelligent online platform for weight management.  The project will use artificial intelligence met...
Funder: Scottish Funding Council | Value: £5,000

e-Health Security Infrastructure Evaluation

2012 - 2012
IIDI is working with Patient Reminders Limited supported the SFC Innovation Voucher scheme.  Patient Reminders Limited provides patient reminder products and solutions for use in clinical studies, ph...
Funder: Scottish Funding Council | Value: £4,979

FI STAR

2013 - 2015
New ideas are on the way to make healthcare more accurate, more affordable and matching the needs of our changing societies. Demographic changes, progress in technology and in medicine offer options t...
Funder: European Commission | Value: £532,920

Next Generation Trust Architecture

2018 - 2020
This work will provide proof-of-concept infrastructures and which will be used to create an ecosystem for strong use cases, and thus attract new funding for the building of new health and social care ...
Funder: Digital Health Institute | Value: £149,959