Skip to main content

Research Repository

Advanced Search

All Outputs (725)

Piloting the learning by developing action model pedagogy in Finland HEIs. (2022)
Conference Proceeding
LINTILÄ, T. and ZARB, M. 2022. Piloting the learning by developing action model pedagogy in Finland HEIs. In Chova, L.G., Martínez, A.L. and Lees, J. (eds.) Proceedings of the 15th Annual international conference of education, research and innovation (ICERI2022), 7-9 November 2022, Seville, Spain. Valenca: IATED [online], pages 1856-1865. Available from: https://doi.org/10.21125/iceri.2022.0474

This article describes a study at Haaga-Helia University of Applied Sciences (Haaga-Helia) that aims to understand how suitable the Learning by Developing (LbD) action model is as a teaching and learning method for computing students. The research al... Read More about Piloting the learning by developing action model pedagogy in Finland HEIs..

Corrigendum to: Forensic delay analysis as evidence of transaction costs in construction projects. (2022)
Journal Article
ATANASOV, V.A., GREENWOOD, D.J., ROSS, H. and SANCHEZ, D.E. 2022. Corrigendum: forensic delay analysis as evidence of transaction costs in construction projects. IOP conference series: earth and environmental science [online], 1101(5): planning, partnership, and law; selected papers from 2022 World building congress (WBC2022): building our future; informing practice to enhance the lives of current and future generations, 27-30 June 2022, Melbourne, Australia. article 052034. Available from: https://doi.org/10.1088/1755-1315/1101/5/052034

This corrigendum contains several corrections to the text originally published at https://doi.org/10.1088/1755-1315/1101/5/052009.

Corrigendum to: Factual disagreements in construction delay disputes: identification, evaluation and testing of the justifications for differences in opinion. (2022)
Journal Article
ATANASOV, V.A., GREENWOOD, D.J., SANCHEZ, D.E. and HATCHER, C.J. 2022. Corrigendum to: Factual disagreements in construction delay disputes: identification, evaluation and testing of the justifications for difference in opinion. IOP conference series: earth and environmental science [online], 1101(5): planning, partnership, and law; selected papers from 2022 World building congress (WBC2022): building our future; informing practice to enhance the lives of current and future generations, 27-30 June 2022, Melbourne, Australia, article 052033. Available from: https://doi.org/10.1088/1755-1315/1101/5/052033

This is a correction for the article published at https://doi.org/10.1088/1755-1315/1101/5/052001.

The lifecycle of a social media beauty trend: a case study of the Instagram body. (2022)
Thesis
UTI, T.O. 2022. The lifecycle of a social media beauty trend: a case study of the Instagram body. Robert Gordon University, MPhil thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2071810

The study pursued the creation of a functional model of the typical lifecycle of a social media beauty trend. Within the fashion and consumer goods industries, lifecycle models already exist that explain the typical manifestations of products and tre... Read More about The lifecycle of a social media beauty trend: a case study of the Instagram body..

A critical evaluation of the role of human resources in the transition towards sustainable business practices in the oil and gas industry in Nigeria. (2022)
Thesis
RICHARD-OSU, O.J. 2022. A critical evaluation of the role of human resources in the transition towards sustainable business practices in the oil and gas industry in Nigeria. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2071784

Heightened pressure on those organisations that are to be held accountable for the impact of their processes on the societies and the environment in which they operate has resulted in sustainable business practices (SBPs) becoming a major area of foc... Read More about A critical evaluation of the role of human resources in the transition towards sustainable business practices in the oil and gas industry in Nigeria..

Towards a robust, effective and resource-efficient machine learning technique for IoT security monitoring. (2022)
Thesis
ZAKARIYYA, I. 2022. Towards a robust, effective and resource-efficient machine learning technique for IoT security monitoring. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1987917

Internet of Things (IoT) devices are becoming increasingly popular and an integral part of our everyday lives, making them a lucrative target for attackers. These devices require suitable security mechanisms that enable robust and effective detection... Read More about Towards a robust, effective and resource-efficient machine learning technique for IoT security monitoring..

Magnetic field directed self-assembly of gold Pickering emulsion for preparing patterned film. (2022)
Thesis
OKPOZO, O.P. 2022. Magnetic field directed self-assembly of gold Pickering emulsion for preparing patterned film. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1987909

Patterning plays a vital in role in sensor-based devices like surface-enhanced Raman spectroscopy (SERS), surface-enhanced infrared absorption (SEIRA), radio frequency (RF) antennas and many others. The linear array spacing and width of gold strips h... Read More about Magnetic field directed self-assembly of gold Pickering emulsion for preparing patterned film..

A reliable trust-aware reinforcement learning based routing protocol for wireless medical sensor networks. (2022)
Thesis
HAJAR, M.S. 2022. A reliable trust-aware reinforcement learning based routing protocol for wireless medical sensor networks. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1987863

Interest in the Wireless Medical Sensor Network (WMSN) is rapidly gaining attention thanks to recent advances in semiconductors and wireless communication. However, by virtue of the sensitive medical applications and the stringent resource constraint... Read More about A reliable trust-aware reinforcement learning based routing protocol for wireless medical sensor networks..

Multiple identities: the civic function of architectural education in Europe. (2022)
Journal Article
MARTÍNEZ SÁNCHEZ, M.J., BROWNE, J., SARA, R. and VOWLES, H. 2022. Multiple identities: the civic function of architectural education in Europe. Charrette, 8(2), pages 1-7. Hosted on Ingenta connect [online]. Available from: https://tinyurl.com/2rcwpdbr

Architectural education asks students to look beyond the confines of the studio to embrace global cultures, politics, and social contexts critically. Through making, digital interventions, drawing and critical analysis, architectural practices reveal... Read More about Multiple identities: the civic function of architectural education in Europe..

Interdisciplinary pedagogical environments in architectural education. (2022)
Journal Article
MARTÍNEZ SÁNCHEZ, M.J. and DUNDJEROVIC, A. 2022. Interdisciplinary pedagogical environments in architectural education. Charrette, 8(2), pages 33-43. Hosted on Ingenta connect [online]. Available from: https://tinyurl.com/9vuhj43k

This paper proposes the creation of interdisciplinary pedagogical environments to construct creative dialogues in architecture, landscape and performance practice that can be applied to the creation of new intersectional knowledge in various fields.... Read More about Interdisciplinary pedagogical environments in architectural education..

C-suite bias, firm characteristics, and capital structure decisions of quoted industrial firms in Nigeria. (2022)
Journal Article
FAGBEMI, T.O., KOLAWOLE, M.A., ADIGBOLE, E.A. and ABOGUN, S. 2023. C-suite bias, firm characteristics, and capital structure decisions of quoted industrial firms in Nigeria. Colombo business journal [online], 13(2), pages 21-47. Available from: https://doi.org/10.4038/cbj.v13i2.123

Most people exaggerate their own skills and accomplishments, which can have disastrous results. The C-suite has a tremendous impact on business choices, as decisions made in the workplace can be skewed by unconscious prejudice, and this bias can have... Read More about C-suite bias, firm characteristics, and capital structure decisions of quoted industrial firms in Nigeria..

Model predictive control of connected spacecraft formation. (2022)
Journal Article
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..

Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation. (2022)
Conference Proceeding
ADEGBOYE, M.A., KARNIK, A., FUNG, W.-K. and PRABHU, R. 2022. Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation. In Proceedings of the 9th International conference on soft computing and machine intelligence 2022 (ISCMI 2022), 26-27 November 2022, Toronto, Candada. Piscataway: IEEE [online], pages 129-134. Available from: https://doi.org/10.1109/iscmi56532.2022.10068436

Pipelines are often subject to leakage due to ageing, corrosion, and weld defects, and it is difficult to avoid as the sources of leakages are diverse. Several studies have demonstrated the applicability of the machine learning model for the timely p... Read More about Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation..

Children in peace-building and violence during political instability in a Kenyan informal settlement. (2022)
Book Chapter
VERTIGANS, S. and MUELLER-HIRTH, N. 2022. Children in peace-building and violence during political instability in a Kenyan informal settlement. In Children, peace and security. Nairobi: Save the Children International; International Peace Support Training Centre [online], chapter 10, pages 170-187. Available from: https://www.ipstc.org/index.php/downloads-publications/publications?download=226:book-project

Despite increasing attention to a wide range of actors in conflict in the scholarly literature, the roles and experiences of children have been largely considered only in terms of their victimhood. Similarly, in global policy discourses, children and... Read More about Children in peace-building and violence during political instability in a Kenyan informal settlement..

On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems. (2022)
Conference Proceeding
HAN, K., CHRISTIE, L.A., ZAVOIANU, A.-C. and MCCALL, J. 2022. On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems. In Moreno-Díaz, R., Pichler, F. and Quesada-Arencibia, A. (eds.) Computer aided systems theory: Eurocast 2022; revised selected papers from the 18th International conference on computer aided systems theory (Eurocast 2022), 20-25 February 2022, Las Palmas, Spain. Lecture notes in computer science, 13789. Cham: Springer [online], pages 104-111. Available from: https://doi.org/10.1007/978-3-031-25312-6_12

While self-driving technology is still being perfected, public transport authorities are increasingly interested in the ability to model and optimise the benefits of adding connected and autonomous vehicles (CAVs) to existing multi-modal transport sy... Read More about On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems..

Lightweight interpolation-based surrogate modelling for multi-objective continuous optimisation. (2022)
Conference Proceeding
ZAVOIANU, A.-C., LACROIX, B. and MCCALL, J. 2022. Lightweight Interpolation-based surrogate modelling for multiobjective continuous optimisation. In Moreno-Díaz, R., Pichler, F. and Quesada-Arencibia, A. (eds.) Computer aided systems theory: Eurocast 2022; revised selected papers from the 18th International conference on computer aided systems theory (Eurocast 2022), 20-25 February 2022, Las Palmas, Spain. Lecture notes in computer science, 13789. Cham: Springer [online], pages 53-60. Available from: https://doi.org/10.1007/978-3-031-25312-6_6

We propose two surrogate-based strategies for increasing the convergence speed of multi-objective evolutionary algorithms (MOEAs) by stimulating the creation of high-quality individuals early in the run. Both offspring generation strategies are desig... Read More about Lightweight interpolation-based surrogate modelling for multi-objective continuous optimisation..

Composite repair and remanufacturing. (2022)
Book Chapter
VON FREEDEN, J., DE WIT, J., CABA, S., KROLL, S., ZHAO, H., REN, J., YAN, Y., ARSHED, F., AHMAD, A. and XIROUCHAKIS, P. 2022. Composite repair and remanufacturing. In Colledani, M. and Turri, S. (eds.) Systemic circular economy solutions for fiber reinforced composites. Cham: Springer [online], pages 191-214. Available from: https://doi.org/10.1007/978-3-031-22352-5_10

For the reuse of components and structures made of fiber composite materials, a complete remanufacturing process chain is necessary to prepare the parts for a further life cycle. The first step is to dismantle the parts to be reused. Fiber composite... Read More about Composite repair and remanufacturing..

Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search. (2022)
Conference Proceeding
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..

Searching for the ethos of a lost art school. (2022)
Book Chapter
WINTER, J. 2022. Searching for the ethos of a lost art school. In Ingold, T. (ed.) Knowing from the inside: cross-disciplinary experiments with matters of pedagogy. London: Bloomsbury Academic [online], chapter 8, pages 165-188. Available from: https://doi.org/10.5040/9781350217171.ch-008

This search is motivated by an abiding belief in the possibilities of art schools. It is a response to many conversations over recent years around the future of art education and the significant role it has played in weaving the social fabric. I cont... Read More about Searching for the ethos of a lost art school..

Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter. (2022)
Journal Article
XIAO, W., WANG, S., YU, C., YANG, X., QIU, J. and FERNANDEZ, C. 2022. Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter. Journal of The Electrochemical Society [online], 169(12), 120534. Available from: https://doi.org/10.1149/1945-7111/acaa5b

State of Charge (SOC) estimation is the focus of battery management systems, and it is critical to accurately estimate battery SOC in complex operating environments. To weaken the impact of unreasonable forgetting factor values on parameter estimatio... Read More about Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter..