All Outputs (2406)

GBOV (Ground-Based Observation for Validation): a copernicus service for validation of vegetation land products (2019)
Presentation / Conference
Bai, G., Dash, J., Brown, L., Meier, C., Lerebourg, C., Ronco, E., …Gobron, N. (2019, July). GBOV (Ground-Based Observation for Validation): a copernicus service for validation of vegetation land products. Presented at 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan

The Copernicus Ground-Based Observations for Validation (GBOV) service aims to develop and distribute robust in-situ datasets from a selection of ground-based monitoring sites for a systematic and quantitative validation of Earth Observation (EO) lan... Read More about GBOV (Ground-Based Observation for Validation): a copernicus service for validation of vegetation land products.

Sustainable high-performance concrete using metakaolin additive and polymer admixture : mechanical properties, durability and microstructure (2019)
Presentation / Conference
Al Menhosh, A., Wang, Y., Augusthus Nelson, L., Dakhil, A., & Matooq, J. (2019, July). Sustainable high-performance concrete using metakaolin additive and polymer admixture : mechanical properties, durability and microstructure. Presented at 5th International Conference on Sustainable Construction Materials & Technologies, Kingston upon Thames, Surrey, UK

In recent years, there has been a growing interest in the use of supplementary cementitious materials and polymers to produce high-performance concrete. This paper shows the results of a study on the effect of metakaolin and polymer admixture on mech... Read More about Sustainable high-performance concrete using metakaolin additive and polymer admixture : mechanical properties, durability and microstructure.

Connecting design, emotion, and behaviour in urban soundscape (2019)
Presentation / Conference
Carvalho, M., Davies, W., & Fazenda, B. (2019, July). Connecting design, emotion, and behaviour in urban soundscape. Poster presented at SPARC 2019 Fake News and Home Truths, MediaCity UK, Salford

With the purpose of assisting developments in urban soundscape design, the present research investigates how soundscapes can influence emotions and behaviours in public spaces aiming to find healthy reactions to “exciting” sonic environments. In the... Read More about Connecting design, emotion, and behaviour in urban soundscape.

Urban innovation districts as hotspots for innovators (2019)
Presentation / Conference
Trillo, C. (2019, June). Urban innovation districts as hotspots for innovators. Presented at Uddevalla Symposium 2019, L'Aquila

How the space- innovators nexus works in cities? Can this nexus be understood only by looking at location of enterprises and companies or is it necessary to investigate other enabling factors related to the spatial structure of cities? This paper s... Read More about Urban innovation districts as hotspots for innovators.

Testing spatial aspects of auditory salience (2019)
Presentation / Conference
Podwinska, Z., Fazenda, B., & Davies, W. (2019, June). Testing spatial aspects of auditory salience. Presented at The 25th International Conference on Auditory Display (ICAD 2019), Northumbria University, UK

Auditory salience describes the extent to which sounds attract the listener’s attention. So far, there have not been any published studies testing if the location of sound relative to the listener influences its salience. In fact, not many experiment... Read More about Testing spatial aspects of auditory salience.

Utilizing big data for enhancing passenger safety in railway stations (2019)
Presentation / Conference
Alawad, H., kaewunruen, S., & An, M. (2019, June). Utilizing big data for enhancing passenger safety in railway stations. Presented at The 4th World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium, Prague, Czech Republic

In light of the increasing demand and capacity in the railway industry, it is imperative to maintain safety in relation to the complexities of the substantial railway stations. Thus, it is important to take note of the time where investments in new t... Read More about Utilizing big data for enhancing passenger safety in railway stations.

Risk management prediction for overcrowding in railway stations utilising Adaptive Nero Fuzzy Inference System (ANFIS) (2019)
Presentation / Conference
Alawad, H., Kaewunruen, S., & An, M. (2019, June). Risk management prediction for overcrowding in railway stations utilising Adaptive Nero Fuzzy Inference System (ANFIS). Presented at The 4th World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium 2019, Prague, Czech Republic

In this research, an intelligent system for managing risks is developed with a framework to aid in managing the risks in the railway stations. A method to advance risk management in the railway stations is needed in order to minimize risk through an... Read More about Risk management prediction for overcrowding in railway stations utilising Adaptive Nero Fuzzy Inference System (ANFIS).

Influence of sound reflection on aircraft directivity and lateral attenuation on the ground (2019)
Presentation / Conference
lateral attenuation on the ground. Presented at Internoise 2019, Noise Control for a Better Environment, Madrid, Spain

The calculation of the lateral attenuation correction for computing aircraft noise footprints on the ground, as proposed by Doc29 and AIR5662, is based on semiempirical methods not suitable for accounting for the particular characteristics of some... Read More about Influence of sound reflection on aircraft directivity and lateral attenuation on the ground.

Psychoacoustic Characterisation of a Small Fixed-pitch Quadcopter (2019)
Presentation / Conference
Torija Martinez, A., Self, R., & Lawrence, J. (2019, June). Psychoacoustic Characterisation of a Small Fixed-pitch Quadcopter. Presented at Internoise 2019, Noise Control for a Better Environment, Madrid, Spain

In this study, a series of acoustic measurements were taken on a small fixed-pitch quadcopter, both in a controlled indoor acoustic environment and while flying outdoors. At controlled indoor conditions, audio signatures were recorded with the quadco... Read More about Psychoacoustic Characterisation of a Small Fixed-pitch Quadcopter.

Experimental investigation of temperature distribution in non - heated and pre - heated hot mix asphalt patch repair (2019)
Presentation / Conference
Byzyka, J., Rahman, M., & Chamberlain, D. (2019, June). Experimental investigation of temperature distribution in non - heated and pre - heated hot mix asphalt patch repair. Presented at 7th International Conference on Bituminous Mixtures and Pavements (7th ICONFBMP), Thessaloniki, Greece

The study focuses on the issue of hot mix asphalt patch repairs, the performance of which is greatly reduced by repair edge disintegration. This is caused by low interface temperatures during the repair operation which result in poor bonding between... Read More about Experimental investigation of temperature distribution in non - heated and pre - heated hot mix asphalt patch repair.

Understanding causes of low voltage (LV) faults in electricity distribution network using association rule mining and text clustering (2019)
Presentation / Conference
Silva, H., & Saraee, M. (2019, June). Understanding causes of low voltage (LV) faults in electricity distribution network using association rule mining and text clustering. Presented at 3RD IEEE Industrial and Commercial Power System Europe (I&CPS), Genoa, Italy

In-depth understanding of a fault cause in electricity distribution network has always been of paramount importance to Distributed Network Operators (DNO) for a reliable power supply. Faults in the network have direct effect on its stability, availab... Read More about Understanding causes of low voltage (LV) faults in electricity distribution network using association rule mining and text clustering.

Integration of digital watermarking technique into medical imaging systems (2019)
Presentation / Conference
Qasim, A., Aspin, R., & Meziane, F. (2019, June). Integration of digital watermarking technique into medical imaging systems. Presented at 10th International Conference Dependable Systems, Services and Technologies (DESSERT’2019), Leeds, UK

This paper presents the process of integrating digital watermarking technique into medical imaging workflow to evaluate, validate and verify its applicability and appropriateness to medical domains. This is significant to ensure the ability of the pr... Read More about Integration of digital watermarking technique into medical imaging systems.

Disruptive approaches for subtitling in immersive environments (2019)
Presentation / Conference
Hughes, C., Montagud, M., & tho Pesch, P. (2019, June). Disruptive approaches for subtitling in immersive environments. Presented at TVX 2019 - ACM International Conference on Interactive Experiences for Television and Online Video, Media City, Salford UK

The Immersive Accessibility Project (ImAc) explores how accessibility services can be integrated with 360o video as well as new methods for enabling universal access to immersive content. ImAc is focused on inclusivity and addresses the needs of al... Read More about Disruptive approaches for subtitling in immersive environments.

Estimating the running costs of commercial buildings: artificial neural network modeling (2019)
Presentation / Conference
Hemba Geekiyanage, M., & Ramachandra, T. (2019, May). Estimating the running costs of commercial buildings: artificial neural network modeling. Presented at 10th International Structural Engineering and Construction Conference, ISEC 2019, Chicago, USA

Running costs of a building is a substantial share of its total life-cycle cost (LCC) and it ranges between 70-80% in commercial buildings. Despite its significant contribution to LCC, investors and construction industry practitioners tend to mostly... Read More about Estimating the running costs of commercial buildings: artificial neural network modeling.

Investigating the differences in Web browsing behaviour of Arabic (RTL) and English (LTR) users using mouse tracking (2019)
Presentation / Conference
Griffiths, L., Rasaei, A., & Haider, N. (2019, May). Investigating the differences in Web browsing behaviour of Arabic (RTL) and English (LTR) users using mouse tracking. Presented at 2nd International Conference on Digital Marketing : Strategy & Innovation in Digital Marketing, Galle Face Hotel, Colombo, Sri Lanka

The internet has become the global information and communication source. With such widespread usage of the web, it is crucial to marketing businesses to understand how users behave on websites. Mouse movement in any area on a webpage is an indicator... Read More about Investigating the differences in Web browsing behaviour of Arabic (RTL) and English (LTR) users using mouse tracking.

Surface engineering of solid-state dye-sensitized solar cells (2019)
Presentation / Conference
Anthony, R., Connell, A., Furnell, L., Kershaw, C., Mezarojas, D., Jones, E., …Holliman, P. (2019, May). Surface engineering of solid-state dye-sensitized solar cells. Poster presented at 11th International Conference on Hybrid and Organic Photovoltaics, Angelicum Universita Pontificia, Rome, Italy

The way that molecules interact with interfaces play a key role in the manufacture and performance of solid-state dye-sensitized solar cells (ssDSC). In order to maximise the performance of ssDSC, it is important to understand the interactions and t... Read More about Surface engineering of solid-state dye-sensitized solar cells.

Generalisation in environmental sound classification : the ‘making sense of sounds’ data set and challenge (2019)
Presentation / Conference
Kroos, C., Bones, O., Cao, Y., Harris, L., Jackson, P., Davies, W., …Plumbley, M. (2019, May). Generalisation in environmental sound classification : the ‘making sense of sounds’ data set and challenge. Presented at 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK

Humans are able to identify a large number of environmental sounds and categorise them according to high-level semantic categories, e.g. urban sounds or music. They are also capable of generalising from past experience to new sounds when applying the... Read More about Generalisation in environmental sound classification : the ‘making sense of sounds’ data set and challenge.

Background adaptation for improved listening experience in broadcasting (2019)
Presentation / Conference
Tang, Y., Cox, T., Fazenda, B., Liu, Q., & Wang, W. (2019, May). Background adaptation for improved listening experience in broadcasting. Presented at 44th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, Brighton, UK

The intelligibility of speech in noise can be improved by modifying the speech. But with object-based audio, there is the possibility of altering the background sound while leaving the speech unaltered. This may prove a less intrusive approach, affor... Read More about Background adaptation for improved listening experience in broadcasting.

Acoustic Event Detection from Weakly Labeled Data Using Auditory Salience (2019)
Presentation / Conference
Podwinska, Z., Sobieraj, I., Fazenda, B., Davies, W., & Plumbley, M. (2019, May). Acoustic Event Detection from Weakly Labeled Data Using Auditory Salience. Presented at 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK

Acoustic Event Detection (AED) is an important task of machine listening which, in recent years, has been addressed using common machine learning methods like Non-negative Matrix Factorization (NMF) or deep learning. However, most of these approaches... Read More about Acoustic Event Detection from Weakly Labeled Data Using Auditory Salience.

A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in MRI brain tumour (2019)
Presentation / Conference
Al-Zurfi, A., Meziane, F., & Aspin, R. (2019, April). A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in MRI brain tumour. Presented at 3rd IEEE International Conference on Bio-Engineering for Smart Technologies (BioSMART 2019), Paris, France

Glioma grading is vital for therapeutic planning where the higher level of glioma is associated with high mortality. It is a challenging task as different glioma grades have mixed morphological characteristics of brain tumour. A computer-aided diagno... Read More about A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in MRI brain tumour.