Woven fabrics in book conservation: An investigation into the properties of aerolinen and aerocotton
(2019)
Presentation / Conference Contribution
Outputs (2633)
Induced voltages in metallic pipelines due to lightning strikes to nearby power lines (2019)
Presentation / Conference Contribution
Installing pipelines in energy utility corridors containing high-voltage AC transmission lines subjects the pipelines to induced AC voltages which is a real and serious problem which can place both operator safety and pipeline integrity at risk. In c... Read More about Induced voltages in metallic pipelines due to lightning strikes to nearby power lines.
Facilities management’s adoption of building information modelling within the National Health Service (2019)
Presentation / Conference Contribution
As the UK's National Health Service (NHS) turned 70 years old in 2018, there have been rising questions about its future, while it continues to run a budget deficit. Now faced with doing more with less, it is imperative the NHS finds more efficient w... Read More about Facilities management’s adoption of building information modelling within the National Health Service.
Predicting tans-laminar fracture using VCCT and in-situ CT scans (2019)
Presentation / Conference Contribution
Influence of blends of diesel and renewable fuels on compression ignition engine emissions over transient engine conditions (2019)
Journal Article
© 2019 Elsevier Ltd To reduce the amount of carbon dioxide released from transportation the EU has implemented legislation to mandate the renewable content of petrol and diesel fuels. However, due to the complexity of the combustion process the addit... Read More about Influence of blends of diesel and renewable fuels on compression ignition engine emissions over transient engine conditions.
Towards the development of a Digital Twin: A comparative study of 3D data acquisition methods for mechanical and electrical assets (2019)
Presentation / Conference Contribution
Point clouds and photogrammetry are becoming a quasi-standard as representation tools for capturing existing assets condition and for monitoring the progress and development of new assets. This is apparent to several industries related to constructio... Read More about Towards the development of a Digital Twin: A comparative study of 3D data acquisition methods for mechanical and electrical assets.
Neuromorphic liquid marbles with aqueous carbon nanotube cores (2019)
Journal Article
Neuromorphic computing devices attempt to emulate features of biological nervous systems through mimicking the properties of synapses, towards implementing the emergent properties of their counterparts, such as learning. Inspired by recent advances i... Read More about Neuromorphic liquid marbles with aqueous carbon nanotube cores.
Living architecture: Toward energy generating buildings powered by microbial fuel cells (2019)
Journal Article
In this study, possibilities of integrating microbial fuel cell (MFC) technology and buildings were investigated. Three kinds of conventional house bricks from two different locations were tested as MFC reactors and their electrochemical characterist... Read More about Living architecture: Toward energy generating buildings powered by microbial fuel cells.
C3bio Poster AM KH RL JK 2019 (2019)
Presentation / Conference Contribution
Bioinspired materials have emerged as alternatives to antibodies and enzymes in biosensor for environmental monitoring These are tailored made in order to mimics the molecular function of a natural receptors in
biosensor Aptamers and Molecularly imp... Read More about C3bio Poster AM KH RL JK 2019.
Weed classification in grasslands using convolutional neural networks (2019)
Presentation / Conference Contribution
Automatic identification and selective spraying of weeds (such as dock) in grass can provide very significant long-term ecological and cost benefits. Although machine vision (with interface to suitable automation) provides an effective means of achie... Read More about Weed classification in grasslands using convolutional neural networks.