Skip to main content

Research Repository

Advanced Search

Outputs (39)

Uncertainty-aware dynamic reliability analysis framework for complex systems (2018)
Journal Article
Kabir, S., Yazdi, M., Aizpurua, J. I., & Papadopoulos, Y. (2018). Uncertainty-aware dynamic reliability analysis framework for complex systems. IEEE Access, 6, Article ACCESS2843166. https://doi.org/10.1109/ACCESS.2018.2843166

Critical technological systems exhibit complex dynamic characteristics such as time-dependent behaviour, functional dependencies among events, sequencing and priority of causes that may alter the effects of failure. Dynamic fault trees (DFTs) have be... Read More about Uncertainty-aware dynamic reliability analysis framework for complex systems.

Prior knowledge-based deep learning method for indoor object recognition and application (2018)
Journal Article
Ding, X., Luo, Y., Li, Q., Cheng, Y., Cai, G., Munnoch, R., Xue, D., Yu, Q., Zheng, X., & Wang, B. (2018). Prior knowledge-based deep learning method for indoor object recognition and application. Systems Science and Control Engineering, 6(1), 249-257. https://doi.org/10.1080/21642583.2018.1482477

Indoor object recognition is a key task for indoor navigation by mobile robots. Although previous work has produced impressive results in recognizing known and familiar objects, the research of indoor object recognition for robot is still insufficien... Read More about Prior knowledge-based deep learning method for indoor object recognition and application.

A review of applications of fuzzy sets to safety and reliability engineering (2018)
Journal Article
Kabir, S., & Papadopoulos, Y. (2018). A review of applications of fuzzy sets to safety and reliability engineering. International Journal of Approximate Reasoning, 100, 29-55. https://doi.org/10.1016/j.ijar.2018.05.005

Safety and reliability are rigorously assessed during the design of dependable systems. Probabilistic risk assessment (PRA) processes are comprehensive, structured and logical methods widely used for this purpose. PRA approaches include, but not limi... Read More about A review of applications of fuzzy sets to safety and reliability engineering.

Model-based assessment of energy-efficiency, dependability, and cost-effectiveness of waste heat recovery systems onboard ship (2018)
Journal Article
Lampe, J., Rüde, E., Papadopoulos, Y., & Kabir, S. (2018). Model-based assessment of energy-efficiency, dependability, and cost-effectiveness of waste heat recovery systems onboard ship. Ocean engineering, 157, 234-250. https://doi.org/10.1016/j.oceaneng.2018.03.062

Technological systems are not merely designed with a narrow function in mind. Good designs typically aim at reducing operational costs, e.g. through achieving high energy efficiency and improved dependability (i.e. reliability, availability and maint... Read More about Model-based assessment of energy-efficiency, dependability, and cost-effectiveness of waste heat recovery systems onboard ship.

Dynamic system safety analysis in HiP-HOPS with Petri Nets and Bayesian Networks (2018)
Journal Article
Papadopoulos, Y., Walker, M., & Kabir, S. (2018). Dynamic system safety analysis in HiP-HOPS with Petri Nets and Bayesian Networks. Safety science, 105, 55-70. https://doi.org/10.1016/j.ssci.2018.02.001

© 2018 Elsevier Ltd Dynamic systems exhibit time-dependent behaviours and complex functional dependencies amongst their components. Therefore, to capture the full system failure behaviour, it is not enough to simply determine the consequences of diff... Read More about Dynamic system safety analysis in HiP-HOPS with Petri Nets and Bayesian Networks.

Using formal game design methods to embed learning outcomes into game mechanics and avoid emergent behaviour (2017)
Journal Article
Grey, S., Grey, D., Gordon, N., & Purdy, J. (2017). Using formal game design methods to embed learning outcomes into game mechanics and avoid emergent behaviour. International Journal of Game-Based Learning, 7(3), 63-73. https://doi.org/10.4018/ijgbl.2017070106

This paper offers an approach to designing game based learning experiences inspired by the Mechanics-Dynamics-Aesthetics (MDA) model (Hunicke et al, 2004) and the elemental tetrad (Schell, 2008) model for game design. A case for game based learning a... Read More about Using formal game design methods to embed learning outcomes into game mechanics and avoid emergent behaviour.

Domain transfer for deep natural language generation from abstract meaning representations (2017)
Journal Article
Dethlefs, N. (2017). Domain transfer for deep natural language generation from abstract meaning representations. IEEE computational intelligence magazine, 12(3), 18-28. https://doi.org/10.1109/mci.2017.2708558

Stochastic natural language generation systems that are trained from labelled datasets are often domainspecific in their annotation and in their mapping from semantic input representations to lexical-syntactic outputs. As a result, learnt models fail... Read More about Domain transfer for deep natural language generation from abstract meaning representations.

Improved dynamic dependability assessment through integration with prognostics (2017)
Journal Article
Aizpurua, J. I., Catterson, V. M., Papadopoulos, Y., Chiacchio, F., & Manno, G. (2017). Improved dynamic dependability assessment through integration with prognostics. IEEE Transactions on Reliability, 66(3), 893-913. https://doi.org/10.1109/tr.2017.2693821

The use of average data for dependability assessments results in a outdated system-level dependability estimation which can lead to incorrect design decisions. With increasing availability of online data, there is room to improve traditional dependab... Read More about Improved dynamic dependability assessment through integration with prognostics.

Supporting group maintenance through prognostics-enhanced dynamic dependability prediction (2017)
Journal Article
Papadopoulos, Y., Aizpurua, J. I., Catterson, V. M., Chiacchio, F., D'Urso, D., Papadopoulos, Y., Aizpurua, J. I., Catterson, V., Chiacchio, F., & D'Urso, D. (2017). Supporting group maintenance through prognostics-enhanced dynamic dependability prediction. Reliability Engineering and System Safety, 168, 171-188. https://doi.org/10.1016/j.ress.2017.04.005

Condition-based maintenance strategies adapt maintenance planning through the integration of online condition monitoring of assets. The accuracy and cost-effectiveness of these strategies can be improved by integrating prognostics predictions and gro... Read More about Supporting group maintenance through prognostics-enhanced dynamic dependability prediction.

Computational methods for finding long simple cycles in complex networks (2017)
Journal Article
Chalupa, D., Balaghan, P., Hawick, K. A., & Gordon, N. A. (2017). Computational methods for finding long simple cycles in complex networks. Knowledge-Based Systems, 125, 96-107. https://doi.org/10.1016/j.knosys.2017.03.022

© 2017 Elsevier B.V. Detection of long simple cycles in real-world complex networks finds many applications in layout algorithms, information flow modelling, as well as in bioinformatics. In this paper, we propose two computational methods for findin... Read More about Computational methods for finding long simple cycles in complex networks.

On cost-effective reuse of components in the design of complex reconfigurable systems (2017)
Journal Article
Aizpurua, J. I., Papadopoulos, Y., Muxika, E., Chiacchio, F., & Manno, G. (2017). On cost-effective reuse of components in the design of complex reconfigurable systems. Quality and Reliability Engineering International, 33(7), 1387-1406. https://doi.org/10.1002/qre.2112

Design strategies that benefit from the reuse of system components can reduce costs while maintaining or increasing dependability—we use the term dependability to tie together reliability and availability. D3H2 (aDaptive Dependable Design for systems... Read More about On cost-effective reuse of components in the design of complex reconfigurable systems.

A natural language-based presentation of cognitive stimulation to people with dementia in assistive technology : a pilot study (2017)
Journal Article
Cuayahuitl, H., Dethlefs, N., Milders, M., Cuayáhuitl, H., Al-Salkini, T., & Douglas, L. (2017). A natural language-based presentation of cognitive stimulation to people with dementia in assistive technology : a pilot study. Informatics for Health and Social Care, 42(4), 349-360. https://doi.org/10.1080/17538157.2016.1255627

Currently, an estimated 36 million people worldwide are affected by Alzheimer’s disease or related dementias. In the absence of a cure, non-pharmacological interventions, such as cognitive stimulation, which slow down the rate of deterioration can be... Read More about A natural language-based presentation of cognitive stimulation to people with dementia in assistive technology : a pilot study.

Fuzzy temporal fault tree analysis of dynamic systems (2016)
Journal Article
Kabir, S., Papadopoulos, Y., Walker, M., Rüde, E., & Securius, P. (2016). Fuzzy temporal fault tree analysis of dynamic systems. International Journal of Approximate Reasoning, 77, 20-37. https://doi.org/10.1016/j.ijar.2016.05.006

Fault tree analysis (FTA) is a powerful technique that is widely used for evaluating system safety and reliability. It can be used to assess the effects of combinations of failures on system behaviour but is unable to capture sequence dependent dynam... Read More about Fuzzy temporal fault tree analysis of dynamic systems.

A synthesis of logic and bio-inspired techniques in the design of dependable systems (2016)
Journal Article
Papadopoulos, Y., Walker, M., Parker, D., Sharvia, S., Bottaci, L., Kabir, S., Azevedo, L., & Sorokos, I. (2016). A synthesis of logic and bio-inspired techniques in the design of dependable systems. Annual Reviews in Control, 41, 170-182. https://doi.org/10.1016/j.arcontrol.2016.04.008

Much of the development of model-based design and dependability analysis in the design of dependable systems, including software intensive systems, can be attributed to the application of advances in formal logic and its application to fault forecast... Read More about A synthesis of logic and bio-inspired techniques in the design of dependable systems.

Application of the D3H2 methodology for the cost-effective design of dependable systems (2016)
Journal Article
Aizpurua, J. I., Muxika, E., Papadopoulos, Y., Chiacchio, F., & Manno, G. (2016). Application of the D3H2 methodology for the cost-effective design of dependable systems. Safety, 2(2), Article 9. https://doi.org/10.3390/safety2020009

The use of dedicated components as a means of achieving desirable levels of fault tolerance in a system may result in high costs. A cost effective way of restoring failed functions is to use heterogeneous redundancies: components that, besides perfor... Read More about Application of the D3H2 methodology for the cost-effective design of dependable systems.

Information density and overlap in spoken dialogue (2015)
Journal Article
Dethlefs, N., Hastie, H., Cuayáhuitl, H., Yu, Y., Rieser, V., & Lemon, O. (2016). Information density and overlap in spoken dialogue. Computer speech & language, 37, 82-97. https://doi.org/10.1016/j.csl.2015.11.001

Incremental dialogue systems are often perceived as more responsive and natural because they are able to address phenomena of turn-taking and overlapping speech, such as backchannels or barge-ins. Previous work in this area has often identified disti... Read More about Information density and overlap in spoken dialogue.

3D perception from binocular vision for a low cost humanoid robot NAO (2015)
Journal Article
Nefti-Meziani, S., Manzoor, U., Davis, S., & Pupala, S. K. (2015). 3D perception from binocular vision for a low cost humanoid robot NAO. Robotics and Autonomous Systems, 68, 129-139. https://doi.org/10.1016/j.robot.2014.12.016

Depth estimation is a classical problem in computer vision and after decades of research many methods have been developed for 3D perception like magnetic tracking, mechanical tracking, acoustic tracking, inertial tracking, optical tracking using mark... Read More about 3D perception from binocular vision for a low cost humanoid robot NAO.

Integrating model checking with HiP-HOPS in model-based safety analysis (2014)
Journal Article
Sharvia, S., & Papadopoulos, Y. (2015). Integrating model checking with HiP-HOPS in model-based safety analysis. Reliability Engineering and System Safety, 135(March), 64-80. https://doi.org/10.1016/j.ress.2014.10.025

The ability to perform an effective and robust safety analysis on the design of modern safety–critical systems is crucial. Model-based safety analysis (MBSA) has been introduced in recent years to support the assessment of complex system design by fo... Read More about Integrating model checking with HiP-HOPS in model-based safety analysis.

Hierarchical reinforcement learning for situated natural language generation (2014)
Journal Article
Dethlefs, N., & Cuayáhuitl, H. (2015). Hierarchical reinforcement learning for situated natural language generation. Natural language engineering, 21(3), 391-435. https://doi.org/10.1017/S1351324913000375

Natural Language Generation systems in interactive settings often face a multitude of choices, given that the communicative effect of each utterance they generate depends crucially on the interplay between its physical circumstances, addressee and in... Read More about Hierarchical reinforcement learning for situated natural language generation.