Outputs (20)

Cost optimisation in offshore wind through procurement data analytics. (2024)
Presentation / Conference Contribution
SHITTU, Q. and EZENKWU, C.P. 2024. Cost optimisation in offshore wind through procurement data analytics. In Arai, K. (eds.) Intelligent computing: proceedings of the 12th Computing conference 2024 (Computing 2024), 11-12 July 2024, London, UK. Lecture notes in networks and systems, 1019. Cham: Springer [online], volume 4, pages 80-98. Available from: https://doi.org/10.1007/978-3-031-62273-1_6

Governments have implemented a variety of national and international efforts to reduce carbon emissions (so as to prevent the damaging effects of climate change on the environment and the global economy) through the execution of several policies, inc... Read More about Cost optimisation in offshore wind through procurement data analytics..

Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. (2023)
Presentation / Conference Contribution
STEWART, C., FOUGH, N., ERDOGAN, N. and PRABHU, R. 2023. Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea (MetroSea 2023); learning to measure sea health parameters, 4-6 October 2023, Valletta, Malta. Piscataway: IEEE [online], pages 110-115. Available from: https://doi.org/10.1109/MetroSea58055.2023.10317266

As the Internet of Things (IoT) continues to find new applications, there is academic and industrial interest in expanding these concepts to the oceanic environment where data is traditionally challenging to communicate wirelessly, establishing an Un... Read More about Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things..

A green AI model selection strategy for computer-aided mpox detection. (2023)
Presentation / Conference Contribution
EZENKWU, C.P., STEPHEN, B.U.-A., AFFIAH, I. and DANIEL, B. 2023. A green AI model selection strategy for computer-aided mpox detection. In Proceedings of the 16th IEEE Africon conference (IEEE AFRICON 2023): advancing technology in Africa towards presence on the global stage, 20-22 September 2023, Nairobi, Kenya. Piscataway: IEEE [online], document number 10293707. Available from: https://doi.org/10.1109/AFRICON55910.2023.10293707

With the recent global surge in mpox (formerly monkeypox) cases, researchers have proposed deep learning technologies for early detection of the disease from skin lesion images. However, many of these researchers follow the current Red AI trend of se... Read More about A green AI model selection strategy for computer-aided mpox detection..

Digital transformation for offshore assets: a deep learning framework for weld classification in remote visual inspections. (2023)
Presentation / Conference Contribution
TORAL-QUIJAS, L.A., ELYAN, E., MORENO-GARCÍA, C.F. and STANDER, J. 2023. Digital transformation for offshore assets: a deep learning framework for weld classification in remote visual inspections. In Iliadis, L, Maglogiannis, I., Alonso, S., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 24th International conference on engineering applications of neural networks (EAAAI/EANN 2023), 14-17 June 2023, León, Spain. Communications in computer and information science, 1826. Cham: Springer [online], pages 217-226. Available from: https://doi.org/10.1007/978-3-031-34204-2_19

Inspecting circumferential welds in caissons is a critical task for ensuring the safety and reliability of structures in the offshore industry. However, identifying and classifying different types of circumferential welds can be challenging in subsea... Read More about Digital transformation for offshore assets: a deep learning framework for weld classification in remote visual inspections..

Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search. (2022)
Presentation / Conference Contribution
RICA, E., ALVAREZ, S., MORENO-GARCIA, C.F. and SERRATOSA, F. 2022. Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search. In Krzyzak, A., Suen, C.Y., Torsello, A. and Nobile, N. (eds.) Structural, syntactic, and statistical pattern recognition: proceedings of the 2022 Joint International Association for Pattern Recognition (IAPR) international workshops on statistical techniques in pattern recognition, and structural and syntactic pattern recognition (S+SSPR 2022), 26-27 August 2022, Montréal, Canada. Lecture notes in computer science, 13813. Cham: Springer [online], pages 274-282. Available from: https://doi.org/10.1007/978-3-031-23028-8_28

Thousands of huge printed sheets depicting engineering drawings keep record of complex industrial structures from Oil & Gas facilities. Currently, there is a trend of digitising these drawings, having as final end the regeneration of the original com... Read More about Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search..

Model predictive control of connected spacecraft formation. (2022)
Presentation / Conference Contribution
KANNAN, S., BHOWMICK, P. and ALAMDARI, S.A.S. 2022. Model predictive control of connected spacecraft formation. IFAC papers online [online], 55(22): proceedings of the 22nd IFAC (International Federation of Automatic Control) symposium on Automatic control in aerospace 2022 (ACA 2022), 21-25 November 2022, Mumbai, India, pages 322-327. Available from: https://doi.org/10.1016/j.ifacol.2023.03.054

In this contribution the authors discuss the application of Model Predictive Control (MPC) to achieve a connected network formation of spacecrafts. A set of three spacecrafts are used to achieve in-plane formation which are initially in a connected n... Read More about Model predictive control of connected spacecraft formation..

Transfer learning with 2D vibration images for fault diagnosis of bearings under variable speed. (2022)
Presentation / Conference Contribution
AHMAD, Z., HASAN, M.J. and KIM, J.-M. 2022. Transfer learning with 2D vibration images for fault diagnosis of bearings under variable speed. In Abraham, A., Gandhi, N., Hanne, T., Hong, T.-P., Rios, T.N. and Ding, W. (eds.) Intelligent systems design and applications: proceedings of 21st International conference on intelligent systems design and applications (ISDA 2021), 13-15 December 2021, [virtual event]. Lecture notes in networks and systems, 418. Cham: Springer [online], pages 154-164. Available from: https://doi.org/10.1007/978-3-030-96308-8_14

One of the most critical assignments in fault diagnosis is to decide the finest set of features by evaluating the statistical parameters of the time-domain signals. However, these parameters are vulnerable under variable speed conditions, i.e., diffe... Read More about Transfer learning with 2D vibration images for fault diagnosis of bearings under variable speed..

A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams. (2021)
Presentation / Conference Contribution
TORAL, L., MORENO-GARCIA, C.F., ELYAN, E. and MEMON, S. 2021. A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams. In Barney Smith, E.H. and Pal, U. (eds.) Document analysis and recognition: ICDAR 2021 workshops, part II: proceedings of 16th International conference on document analysis and recognition 2021 (ICDAR 2021), 5-10 September 2021, Lausanne, Switzerland. Lecture notes in computer science, 12917. Cham: Springer [online], pages 268-276. Available from: https://doi.org/10.1007/978-3-030-86159-9_18

Corrosion circuit mark up in engineering drawings is one of the most crucial tasks performed by engineers. This process is currently done manually, which can result in errors and misinterpretations depending on the person assigned for the task. In th... Read More about A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams..

Image pre-processing and segmentation for real-time subsea corrosion inspection. (2021)
Presentation / Conference Contribution
PIRIE, C. and MORENO-GARCIA, C.F. 2021. Image pre-processing and segmentation for real-time subsea corrosion inspection. In Iliadis, L., Macintyre, J., Jayne, C. and Pimenidis, E. (eds.). Proceedings of the 22nd Engineering applications of neural networks conference (EANN2021), 25-27 June 2021, Halkidiki, Greece. Proceedings of the International Neural Networks Society (INNS), 3. Cham: Springer [online], pages 220-231. Available from: https://doi.org/10.1007/978-3-030-80568-5_19

Inspection engineering is a highly important field in the Oil & Gas sector for analysing the health of offshore assets. Corrosion, a naturally occurring phenomenon, arises as a result of a chemical reaction between a metal and its environment, causin... Read More about Image pre-processing and segmentation for real-time subsea corrosion inspection..

User-friendly tool to enable individual homeowners to invest in energy efficiency. (2021)
Presentation / Conference Contribution
SEDDIKI, M., BENNADJI, A., LAING, R. and GRAY, D. 2021. User-friendly tool to enable individual homeowners to invest in energy efficiency. In Abdelmohsen, S., El-Khouly, T., Mallasi, Z. and Bennadji, A. (eds.). Architecture in the age of disruptive technologies: transformation and challenges: proceedings of the 9th Arab Society for Computer Aided Architectural Design 2021 (ASCAAD 2021), 2-4 March 2021, [virtual conference]. Aberdeen: Robert Gordon University, pages 750-756. Hosted on CumInCAD [online]. Available from: http://papers.cumincad.org/cgi-bin/works/paper/ascaad2021_155

Buildings are an important source of CO2 emissions and account for almost a third of final energy consumption globally. The necessity to achieve energy efficiency standards in new and existing buildings is now recognised. The residential sector consu... Read More about User-friendly tool to enable individual homeowners to invest in energy efficiency..

An IoT based industry 4.0 architecture for integration of design and manufacturing systems. (2020)
Presentation / Conference Contribution
ANBALAGAN, A. and MORENO-GARCIA, C.F. 2021. An IoT based industry 4.0 architecture for integration of design and manufacturing systems. Materials today: proceedings [online], 46(17): proceedings of 3rd International conference on materials, manufacturing and modelling 2021 (ICMMM 2021), 19-21 March 2021, [virtual conference], pages 7135-7142. Available from: https://doi.org/10.1016/j.matpr.2020.11.196

This paper proposes an Internet of Things (IoT) based 5-stage Industry 4.0 architecture to integrate the design and manufacturing systems in a Cyber Physical Environment (CPE). It considers the transfer of design and manufacturing systems data throug... Read More about An IoT based industry 4.0 architecture for integration of design and manufacturing systems..

Student and alumni engagement around issues of sustainability in the fashion sector.
Presentation / Conference Contribution
MARCELLA-HOOD, M. 2021. Student and alumni engagement around issues of sustainability in the fashion sector. Presented at the 2021 Sustainability in the creative and cultural industries symposium, 4-8 October 2021, [virtual conference], [online]. Available from: https://www.rgu.ac.uk/runway-to-cop26/sustainability-in-the-creative-and-cultural-industries-symposium

Over the past ten years there has been increasing concern around the fashion industry and its impact on our environment. In the past 3 years, we have seen an increased awareness of this issue across our student body and amongst our graduates. This se... Read More about Student and alumni engagement around issues of sustainability in the fashion sector..

Promoting accountability and transparency in the governance of renewable energy transition in developing nations.
Presentation / Conference Contribution
ADEDOKUN, R., STRACHAN, P. and SINGH, A. 2024. Promoting accountability and transparency in the governance of renewable energy transition in developing nations. Poster presented at the 2024 All-energy exhibition and conference, 15-16 May 2024, Glasgow, UK.

COP28 concluded with the need for an enhanced transparency framework to ensure progress towards achieving Countries' Nationally Determined Contributions. This requires the tripling of global renewable energy capacity by 2030 to reach net-zero emissio... Read More about Promoting accountability and transparency in the governance of renewable energy transition in developing nations..

Desirable tourism futures: stakeholders' participation in local strategic planning for sustainable tourism in Orkney Islands.
Presentation / Conference Contribution
ROITERSHTEIN, A. 2022. Desirable tourism futures: stakeholders' participation in local strategic planning for sustainable tourism in Orkney Islands. Presented at the 30th Nordic symposium on tourism and hospitality research: participatory approaches to development for desirable tourism futures, 27-29 September 2022, Porvoo, Finland.

Comprehensive stakeholder engagement in tourism planning is vital for sustainable destination development, but many strategic plans fail to provide evidence of such engagement on a destination level. As a part of a wider doctoral research project, th... Read More about Desirable tourism futures: stakeholders' participation in local strategic planning for sustainable tourism in Orkney Islands..

Modelling real-world renewable hydrogen energy systems for enabling Scotland zero-carbon ambition.
Presentation / Conference Contribution
ATTEYA, A.I. and ALI, D. 2023. Modelling real-world renewable hydrogen energy systems for enabling Scotland zero-carbon ambition. Presented at the 2023 All-energy and dcarbonise conference, 10-11 May 2023, Glasgow, UK.

Hydrogen is described as one of the most indicative scenarios for meeting Scotland Net-Zero carbon ambition set out for 2045. According to the 2021 Scottish Government’s hydrogen policy statement, the target is to invest 5 GW of renewable and low-car... Read More about Modelling real-world renewable hydrogen energy systems for enabling Scotland zero-carbon ambition..

Traces: how art and oil can mix.
Presentation / Conference Contribution
KELLIE, C. 2022. Traces: how art and oil can mix. Presented at the 2022 Petrocultures conference (Petrocultures 2022): transformations, 24-27 August 2022, Stavanger, Norway.

Heavy industry impacts and shapes the communities that surround it. With North Sea oil, that industry lies mostly over the horizon and its workforce comes from around the world to form a temporal community. This invisibility and the logistical barrie... Read More about Traces: how art and oil can mix..

A paradigm-shift in water treatment: in-reservoir UV-LED-driven TiO2 photocatalysis for the removal of cyanobacteria: a mesocosm study.
Presentation / Conference Contribution
PESTANA, C.J., CAPELO-NETO, J., HUI, J., ROBERTSON, P.K.J., OLIVEIRA, S., ROGERS, R., SANTOS, A., AZEVEDO, S.M.F.O., EDWARDS, C., IRVINE, J.T.S. and LAWTON, L.A. 2022. A paradigm-shift in water treatment: in-reservoir UV-LED-driven TiO2 photocatalysis for the removal of cyanobacteria: a mesocosm study. Presented at the 12th International conference on toxic cyanobacteria (ICTC 2022), 22-27 May 2022, Toledo, USA.

Potentially harmful cyanobacteria challenge potable water treatment globally, with high biomass events, and dissolved toxic and nuisance metabolites. Retrofitting existing water treatment infrastructure is often impractical (if not impossible) and of... Read More about A paradigm-shift in water treatment: in-reservoir UV-LED-driven TiO2 photocatalysis for the removal of cyanobacteria: a mesocosm study..

Developing a capacity sizing and energy management model for a hybrid photovoltaic-hydrogen grid-connected building scenario.
Presentation / Conference Contribution
ATTEYA, A.I., ALI, D. and HOSSAIN, M. 2022. Developing a capacity sizing and energy management model for a hybrid photovoltaic-hydrogen grid-connected building scenario. Presented at the 2022 All-energy exhibition and conference: low carbon heating and cooling, 11-12 May 2022, Glasgow, UK.

The admission of renewable energy systems into the grid is subject to significant variability due to their intermittency, requiring central generations to cover any transient variation between renewable power input and consumer demand. To allow suppo... Read More about Developing a capacity sizing and energy management model for a hybrid photovoltaic-hydrogen grid-connected building scenario..

Thinking with the Harrisons: what does now demand? [Presentation]
Presentation / Conference Contribution
DOUGLAS, A. and FREMANTLE, C. 2022. Thinking with the Harrisons: what does now demand? Presented at Listening to the web of life, 17-18 March 2022, San Diego, USA. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1629026

How can we learn to think ecologically when our technological, social, aesthetic and political systems are built on the primacy of human rationality? Helen Mayer Harrison (1927-2018) and Newton Harrison's (b. 1932) practice as artists borrows from th... Read More about Thinking with the Harrisons: what does now demand? [Presentation].

Digital condition monitoring for wider blue economy.
Presentation / Conference Contribution
HASAN, M.J., YAN, Y. and REN, J. 2022. Digital condition monitoring for wider blue economy. Presented at the 12th Annual science meeting of the Marine Alliance for Science and Technology for Scotland (MASTS ASM 2022), 8-10 November 2022, Glasgow, UK.

In the process of decommissioning energy systems, condition monitoring is crucial. It can make the health status of offshore oil and gas installations, pipelines, wind farms etc. transparent to policymakers and stakeholders, and aid them in creating... Read More about Digital condition monitoring for wider blue economy..