All Outputs (630)

Geospatial Map of the Global Research on Sustainability and Sustainable Development: Generating and converting KML files to Map (2017)
Data
Olawumi, T. O., & Chan, D. W. (2017). Geospatial Map of the Global Research on Sustainability and Sustainable Development: Generating and converting KML files to Map. [Data]. https://doi.org/10.17632/sv23pvr252.1

The animated map is handy for academics and practitioners, as a more dynamic alternative to scientific databases such as Scopus or ISI Web of Science in the quest to ease the identification of sustainability research publications within a city or reg... Read More about Geospatial Map of the Global Research on Sustainability and Sustainable Development: Generating and converting KML files to Map.

Sensing domestic energy use (2017)
Presentation / Conference Contribution
Davison, B. (2017, November). Sensing domestic energy use. Paper presented at U!REKA 2017: Towards and Education and Research Strategy, Edinburgh

Building accurate models of domestic energy use is difficult because of a lack of reliable representative data. This paper outlines a strategy for recruiting home owners to provide data from actual dwellings. Sensor networks are deployed to provide b... Read More about Sensing domestic energy use.

Multi-criteria evaluation of renewable and nuclear resources for electricity generation in Kazakhstan (2017)
Journal Article
Ahmada, S., Nadeem, A., Akhanova, G., Houghton, T., & Muhammad-Sukki, F. (2017). Multi-criteria evaluation of renewable and nuclear resources for electricity generation in Kazakhstan. Energy, 141, 1880-1891. https://doi.org/10.1016/j.energy.2017.11.102

Kazakhstan's electricity generation depends heavily on fossil fuels. Renewables and other non-fossil resources provide potential alternatives to diversify the electricity generation system. In this paper, various potential local non-fossil fuel resou... Read More about Multi-criteria evaluation of renewable and nuclear resources for electricity generation in Kazakhstan.

Optical Fibre Sensors technology towards smart cities concept (2017)
Presentation / Conference Contribution
Alwis, L. S., & Kerrouche, A. (2017, November). Optical Fibre Sensors technology towards smart cities concept. Presented at 2nd International Conference of the Urban Research and Education Knowledge Alliance, Edinburgh, Scotland

With the advancements in material sciences, the sensor research field is heading towards the implementation of an ultimate “nerves system” that can be utilized to sense various, if not all, physical, chemical and biological aspects not only of living... Read More about Optical Fibre Sensors technology towards smart cities concept.

What can we learn from simulating commuters? (2017)
Presentation / Conference Contribution
Urquhart, N. (2017, November). What can we learn from simulating commuters?. Presented at U!REKA

Commuting affects just about every member of the workforce in the UK, those who do not commute are affected by the congestion and pollution generated by such activities. There is increasing pressure on organisations to adopt practices and measures th... Read More about What can we learn from simulating commuters?.

Towards graduate employment: exploring student identity through a university-wide employability project (2017)
Journal Article
Smith, S., Smith, C., Taylor-Smith, E., & Fotheringham, J. (2019). Towards graduate employment: exploring student identity through a university-wide employability project. Journal of Further and Higher Education, 43(5), 628-640. https://doi.org/10.1080/0309877x.2017.1390077

Students have expectations of their university education leading to graduate careers, with universities investing considerable resources in institution-wide initiatives designed to enhance opportunities for student work placements and work-related le... Read More about Towards graduate employment: exploring student identity through a university-wide employability project.

Investigation of Turbulent Hydrogen Premixed Flame Topologies at Different Combustion Regimes Using Computational Singular Perturbation (2017)
Presentation / Conference Contribution
Tingas, S., Hernandez Perez, F., & Im, H. (2017, November). Investigation of Turbulent Hydrogen Premixed Flame Topologies at Different Combustion Regimes Using Computational Singular Perturbation. Paper presented at 70th Annual Meeting of the APS Division of Fluid Dynamics, Denver, Colorado

The investigation of turbulent flames at higher Reynolds and Karlovitz numbers has been gaining research interest, due to the advances in the computational power that has facilitated the use of direct numerical simulations (DNS). One of the additiona... Read More about Investigation of Turbulent Hydrogen Premixed Flame Topologies at Different Combustion Regimes Using Computational Singular Perturbation.

Electrical cars: an option for the Gulf states? (2017)
Presentation / Conference Contribution
Saleh, W. (2017, November). Electrical cars: an option for the Gulf states?. Presented at International Energy and Environment Summit - 2017

Timber grading update (2017)
Presentation / Conference Contribution
Ridley-Ellis, D. (2017, November). Timber grading update. Presented at SIRT update seminar

The latest news on timber grading standards and how they effect structural timber production in UK and IE

Sound Synthesis of Objects Swinging through Air Using Physical Models (2017)
Journal Article
Selfridge, R., Moffat, D., & Reiss, J. (2017). Sound Synthesis of Objects Swinging through Air Using Physical Models. Applied Sciences, 7(11), Article 1177. https://doi.org/10.3390/app7111177

A real-time physically-derived sound synthesis model is presented that replicates the sounds generated as an object swings through the air. Equations obtained from fluid dynamics are used to determine the sounds generated while exposing practical par... Read More about Sound Synthesis of Objects Swinging through Air Using Physical Models.

A robust data-driven approach to the decoding of pyloric neuron activity (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., Collins, D., & Lam, K. (2017, October). A robust data-driven approach to the decoding of pyloric neuron activity. Presented at 2017 IEEE International Workshop on Signal Processing Systems (SiPS), Lorient, France

The combination of intra and extra-cellular recording of small neuronal circuits such as stomatogastric nervous systems of the crab (Cancer borealis) is well documented and routinely practised. Voltage sensitive dye imaging (VSDi) is a promising tech... Read More about A robust data-driven approach to the decoding of pyloric neuron activity.

Persian Named Entity Recognition (2017)
Presentation / Conference Contribution
Dashtipour, K., Gogate, M., Adeel, A., Algarafi, A., Howard, N., & Hussain, A. (2017, July). Persian Named Entity Recognition. Presented at 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Oxford, UK

Named Entity Recognition (NER) is an important natural language processing (NLP) tool for information extraction and retrieval from unstructured texts such as newspapers, blogs and emails. NER involves processing unstructured text for classification... Read More about Persian Named Entity Recognition.

Machine learning based computer-aided diagnosis of liver tumours (2017)
Presentation / Conference Contribution
Ali, L., Khelil, K., Wajid, S. K., Hussain, Z. U., Shah, M. A., Howard, A., Adeel, A., Shah, A. A., Sudhakar, U., Howard, N., & Hussain, A. (2017, July). Machine learning based computer-aided diagnosis of liver tumours. Presented at 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Oxford, UK

Image processing plays a vital role in the early detection and diagnosis of Hepatocellular Carcinoma (HCC). In this paper, we present a computational intelligence based Computer-Aided Diagnosis (CAD) system that helps medical specialists detect and d... Read More about Machine learning based computer-aided diagnosis of liver tumours.

Formal Ontology Generation by deep machine learning (2017)
Presentation / Conference Contribution
Wang, Y., Valipour, M., Zatarain, O., Gavrilova, M., Hussain, A., Howard, N., & Patel, S. (2017, July). Formal Ontology Generation by deep machine learning. Presented at 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Oxford, UK

An ontology is a taxonomic hierarchy of lexical terms and their syntactic and semantic relations for representing a framework of structured knowledge. Ontology used to be problem-specific and manually built due to its extreme complexity. Based on the... Read More about Formal Ontology Generation by deep machine learning.

Complex-valued computational model of hippocampal CA3 recurrent collaterals (2017)
Presentation / Conference Contribution
Shiva, A., Gogate, M., Howard, N., Graham, B., & Hussain, A. (2017, July). Complex-valued computational model of hippocampal CA3 recurrent collaterals. Presented at 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Oxford, UK

Complex planes are known to simplify the complexity of real world problems, providing a better comprehension of their functionality and design. The need for complex numbers in both artificial and biological neural networks is equally well established... Read More about Complex-valued computational model of hippocampal CA3 recurrent collaterals.

Development of 3D Sculpted, Hyper-Realistic Biomimetic Eyes for Humanoid Robots and Medical Ocular Prostheses (2017)
Presentation / Conference Contribution
Strathearn, C., & Ma, M. (2017, October). Development of 3D Sculpted, Hyper-Realistic Biomimetic Eyes for Humanoid Robots and Medical Ocular Prostheses. Presented at 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2017), Kyoto, Japan

Hyper-realistic Humanoid Bio-robotic Systems (HHBS) are the precise electro-mechanical bodily emulation of natural human being in materiality, form and function. However, the standardised approach of constructing static ocular prosthesis for implemen... Read More about Development of 3D Sculpted, Hyper-Realistic Biomimetic Eyes for Humanoid Robots and Medical Ocular Prostheses.

So much for COP23 – there’s a whole class of carbon emissions we’re totally ignoring (2017)
Newspaper / Magazine
Pomponi, F. (2017). So much for COP23 – there’s a whole class of carbon emissions we’re totally ignoring

Article published on 'The Conversation' on embodied carbon of buildings.

Innovation in corrosion monitoring in sewers - use of novel photonic sensors for humidity measurements in gravity sewers (2017)
Presentation / Conference Contribution
Bustamante, H., Alwis, L. S. M., Grattan, K. T. V., Sun, T., Vorreiter, L., & González, J. (2017, May). Innovation in corrosion monitoring in sewers - use of novel photonic sensors for humidity measurements in gravity sewers. Presented at Ozwater'17, Sydney, Australia

Humidity plays a key role in microbiologically induced corrosion of concrete gravity sewers. Minor reductions in humidity can reduce corrosion rates. No reliable long lived (>1 week) humidity sensors are available, thus limiting the development of us... Read More about Innovation in corrosion monitoring in sewers - use of novel photonic sensors for humidity measurements in gravity sewers.

Electromagnetic wave control by metasurfaces: From design to manufacturing (2017)
Presentation / Conference Contribution
Spada, L. L., & Hao, Y. (2017, August). Electromagnetic wave control by metasurfaces: From design to manufacturing. Presented at 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), Montreal, QC

Recently, there have been a new interest in controlling and manipulating electromagnetic waves in different frequency ranges. The development of new two-dimensional materials, called meta-surfaces, have been used to control and tailor the electromagn... Read More about Electromagnetic wave control by metasurfaces: From design to manufacturing.

Utilising natural cross-modal mappings for visual control of feature-based sound synthesis (2017)
Presentation / Conference Contribution
Tsiros, A., & Leplâtre, G. (2017, November). Utilising natural cross-modal mappings for visual control of feature-based sound synthesis. Presented at International Conference on Multimodal Interaction 2017

This paper presents the results of an investigation into audio-visual (AV) correspondences conducted as part of the development of Morpheme, a painting interface to control a corpus-based concatenative sound synthesis algorithm. Previous research has... Read More about Utilising natural cross-modal mappings for visual control of feature-based sound synthesis.