All Outputs (154)

Modeling of uncertain nonlinear system with Z-numbers (2021)
Book Chapter
Jafari, R., Razvarz, S., Gegov, A., & Paul, S. (2021). Modeling of uncertain nonlinear system with Z-numbers. In Encyclopedia of Information Science and Technology (290-314). IGI Global. https://doi.org/10.4018/978-1-7998-3479-3.ch022

In order to model the fuzzy nonlinear systems, fuzzy equations with Z-number coefficients are used in this chapter. The modeling of fuzzy nonlinear systems is to obtain the Z-number coefficients of fuzzy equations. In this work, the neural network ap... Read More about Modeling of uncertain nonlinear system with Z-numbers.

Deep learning based customer preferences analysis in industry 4.0 environment (2021)
Journal Article
Sun, Q., Feng, X., Zhao, S., Cao, H., Li, S., & Yao, Y. (2021). Deep learning based customer preferences analysis in industry 4.0 environment. Mobile Networks and Applications, 26, 2329–2340. https://doi.org/10.1007/s11036-021-01830-5

Customer preferences analysis and modelling using deep learning in edge computing environment are critical to enhance customer relationship management that focus on a dynamically changing market place. Existing forecasting methods work well with ofte... Read More about Deep learning based customer preferences analysis in industry 4.0 environment.

Vision based semantic runway segmentation from simulation with deep convolutional neural networks (2021)
Conference Proceeding
Quessy, A. D., Richardson, T. S., & Hansen, M. (2022). Vision based semantic runway segmentation from simulation with deep convolutional neural networks. https://doi.org/10.2514/6.2022-0680

Manned flight crew rely upon optical imagery to make sense of the world and carry out high level guidance, navigation & control tasks. To advance autonomous aircraft’s capabilities and safety, programmes need to be developed that aim to achieve pilot... Read More about Vision based semantic runway segmentation from simulation with deep convolutional neural networks.

Incremental motor skill learning and generalization from human dynamic reactions based on dynamic movement primitives and fuzzy logic system (2021)
Journal Article
Lu, Z., Wang, N., Li, M., & Yang, C. (2022). Incremental motor skill learning and generalization from human dynamic reactions based on dynamic movement primitives and fuzzy logic system. IEEE Transactions on Fuzzy Systems, 30(6), 1506-1515. https://doi.org/10.1109/tfuzz.2021.3136933

Different from previous work on single skill learning from human demonstrations, an incremental motor skill learning, generalization and control method based on dynamic movement primitives (DMP) and broad learning system (BLS) is proposed for extract... Read More about Incremental motor skill learning and generalization from human dynamic reactions based on dynamic movement primitives and fuzzy logic system.

Passive impedance sensing using a SAW resonator-coupled biosensor for zero-power wearable applications (2021)
Journal Article
Yue, X., Kiely, J., Luxton, R., Chen, B., McLeod, C. N., & Drakakis, E. M. (2022). Passive impedance sensing using a SAW resonator-coupled biosensor for zero-power wearable applications. IEEE Sensors Journal, 22(3), 2347-2357. https://doi.org/10.1109/JSEN.2021.3136705

A bio-sensing scheme, which acquires impedance information of a capacitive biosensor by using the reflected RF signal from a surface acoustic wave (SAW) resonator connected to the biosensor, is proposed. This technique requires no power to be supplie... Read More about Passive impedance sensing using a SAW resonator-coupled biosensor for zero-power wearable applications.

A hybrid artificial neural network and wavelet packet transform approach for fault location in hybrid transmission lines (2021)
Journal Article
Rezaee Ravesh, N., Ramezani, N., Ahmadi, I., & Nouri, H. (2022). A hybrid artificial neural network and wavelet packet transform approach for fault location in hybrid transmission lines. Electric Power Systems Research, 204, Article 107721. https://doi.org/10.1016/j.epsr.2021.107721

This paper presents a single-ended traveling-wave-based fault location (F.L.) method in a hybrid transmission line (HTL) with an overhead section combined with a cable section. For this, the software has been developed in a MATLAB programming environ... Read More about A hybrid artificial neural network and wavelet packet transform approach for fault location in hybrid transmission lines.

A novel curved gaussian mixture model and its application in motion skill encoding (2021)
Conference Proceeding
Chen, D., Li, G., Zhou, D., & Ju, Z. (2021). A novel curved gaussian mixture model and its application in motion skill encoding. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (7813-7818). https://doi.org/10.1109/IROS51168.2021.9636121

The purpose of this paper is to present a novel curved Gaussian Mixture Model (CGMM) and to study the application of it in motion skill encoding. Primarily, Gaussian mixture model (GMM) has been widely applied on many occasions when a probability den... Read More about A novel curved gaussian mixture model and its application in motion skill encoding.

Microbial fuel cell scale-up options: Performance evaluation of membrane (c-MFC) and membrane-less (s-MFC) systems under different feeding regimes (2021)
Journal Article
Walter, X. A., Madrid, E., Gajda, I., Greenman, J., & Ieropoulos, I. (2022). Microbial fuel cell scale-up options: Performance evaluation of membrane (c-MFC) and membrane-less (s-MFC) systems under different feeding regimes. Journal of Power Sources, 520, 230875. https://doi.org/10.1016/j.jpowsour.2021.230875

In recent years, bioelectrochemical systems have advanced towards upscaling applications and tested during field trials, primarily for wastewater treatment. Amongst reported trials, two designs of urine-fed microbial fuel cells (MFCs) were tested suc... Read More about Microbial fuel cell scale-up options: Performance evaluation of membrane (c-MFC) and membrane-less (s-MFC) systems under different feeding regimes.

Experiments in artificial culture: from noisy imitation to storytelling robots (2021)
Journal Article
Winfield, A. F. T., & Blackmore, S. (2021). Experiments in artificial culture: from noisy imitation to storytelling robots. Philosophical Transactions B: Biological Sciences, 377, Article 20200323. https://doi.org/10.1098/rstb.2020-0323

This paper presents a series of experiments in collective social robotics, spanning more than 10 years, with the long-term aim of building embodied models of (aspects) of cultural evolution. Initial experiments demonstrated the emergence of behaviour... Read More about Experiments in artificial culture: from noisy imitation to storytelling robots.

Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding (2021)
Journal Article
Pearson, M. J., Dora, S., Struckmeier, O., Knowles, T. C., Mitchinson, B., Tiwari, K., …Pennartz, C. M. (2021). Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding. Frontiers in Robotics and AI, 8, Article 732023. https://doi.org/10.3389/frobt.2021.732023

Recognising familiar places is a competence required in many engineering applications that interact with the real world such as robot navigation. Combining information from different sensory sources promotes robustness and accuracy of place recogniti... Read More about Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding.

Fungal architectures (2021)
Exhibition / Performance
Nikolaidou, A., Adamatzky, A., Phillips, N., Roberts, N., & Petrova, I. Fungal architectures. [Installations, Prints]. 13 December 2021 - 19 December 2021. (Unpublished)

"Fungal architectures" arts exhibition presents works inspired by protocognition of fungi and slime moulds and fungal materials. Fungal Architectures is a new cross-disciplinary research project that seeks to develop a fully integrated structural and... Read More about Fungal architectures.

Transforming tradition: how the iconic Christmas Lectures series is perceived by its audiences (2021)
Journal Article
Sardo, A. M., Little, H., & Fogg-Rogers, L. (2021). Transforming tradition: how the iconic Christmas Lectures series is perceived by its audiences. International Journal of Science Education, Part B: Communication and Public Engagement, 11(4), https://doi.org/10.1080/21548455.2021.2012298

The Royal Institution Christmas Lectures are a landmark in the history of science communication. With today’s changing media landscape, it is important to know who is currently watching, how they are watching, and how they are perceiving the content.... Read More about Transforming tradition: how the iconic Christmas Lectures series is perceived by its audiences.

Design, novel quality check and experimental test of an original variable length stepped scarf repair scheme (2021)
Journal Article
Damghani, M., Bolanos, S., Chahar, A., Matthews, J., Atkinson, G. A., Murphy, A., & Edwards, T. (2022). Design, novel quality check and experimental test of an original variable length stepped scarf repair scheme. Composites Part B: Engineering, 230, Article 109542. https://doi.org/10.1016/j.compositesb.2021.109542

The performance of well-established stepped scarf repair schemes for highly loaded composite structures has been studied in previous works. However, none of the proposed repair schemes appear to minimise healthy material removal. Thus, this paper pro... Read More about Design, novel quality check and experimental test of an original variable length stepped scarf repair scheme.

Multi-direction gradient iterative algorithm: A unified framework for gradient iterative and least squares algorithms (2021)
Journal Article
Chen, J., Ma, J., Gan, M., & Zhu, Q. (2022). Multi-direction gradient iterative algorithm: A unified framework for gradient iterative and least squares algorithms. IEEE Transactions on Automatic Control, 67(12), 6770-6777. https://doi.org/10.1109/TAC.2021.3132262

In this study, a multi-direction-based gradient iterative (GI) algorithm for Hammerstein systems with irregular sampling data is proposed. The algorithm updates the parameter estimates using several orthogonal directions at each iteration. The conver... Read More about Multi-direction gradient iterative algorithm: A unified framework for gradient iterative and least squares algorithms.

Disturbance-observer-based u-control (Dobuc) for nonlinear dynamic systems (2021)
Journal Article
Li, R., Zhu, Q., Yang, J., Narayan, P., & Yue, X. (2021). Disturbance-observer-based u-control (Dobuc) for nonlinear dynamic systems. Entropy, 23(12), https://doi.org/10.3390/e23121625

U-model, which is a control-oriented model set with the property of generally facilitate nonlinearity dynamic inversion/cancellation, has been introduced to the Disturbance Observer-Based control (DOBC) methods to improve the performance of the nonli... Read More about Disturbance-observer-based u-control (Dobuc) for nonlinear dynamic systems.

Adaptive sliding mode control based on fuzzy systems applied to the permanent magnet synchronous machine (2021)
Journal Article
Nouri, H. (2021). Adaptive sliding mode control based on fuzzy systems applied to the permanent magnet synchronous machine. Nonlinear Dynamics and Systems Theory, 21(5), 457–470

This paper develops an adaptive sliding mode control based on fuzzy systems. In this control technique, the possibilities offered by Sugeno type fuzzy systems, in terms of their ability to approximate continuous nonlinear functions, are exploited, an... Read More about Adaptive sliding mode control based on fuzzy systems applied to the permanent magnet synchronous machine.

The application of eye-tracking technology in architecture engineering and construction industry: A systematic review (2021)
Conference Proceeding
Mahamadu, A., Prabhakaran, A., Clark, K., Dziekonski, K., Okeke, U., Zhang, W., …Aigbavboa, C. O. (2021). The application of eye-tracking technology in architecture engineering and construction industry: A systematic review. In N. Dawood, F. Pour Rahimian, & M. Sheikhkhoshkar (Eds.), Proceedings of the 21st International Conference on Construction Applications of Virtual Reality (56-64)

Despite the scholarly attention on eye-tracking technology in the AEC industry, no studies thus far have attempted to aggregate the findings or knowledge. To bridge this gap and to better understand the state-of-the-art of eye-tracking technology’s a... Read More about The application of eye-tracking technology in architecture engineering and construction industry: A systematic review.

Carbon nanotube (CNT)-based biosensors (2021)
Journal Article
Ferrier, D., & Honeychurch, K. C. (2021). Carbon nanotube (CNT)-based biosensors. Biosensors, 11(12), Article 486. https://doi.org/10.3390/bios11120486

This review focuses on recent advances in the application of carbon nanotubes (CNTs) for the development of sensors and biosensors. The paper discusses various configurations of these devices, including their integration in analytical devices. Carbon... Read More about Carbon nanotube (CNT)-based biosensors.

Accelerometers - Embedded lycra sleeves to test wear compliance and upper limb activity in people with stroke: a feasibility study - UK Stroke Forum 2021 (2021)
Presentation / Conference
Kumar, P., Leake, J., Brodie, S., Molton, J., O'Reilly, R., Pearce, A., …Caleb-Solly, P. (2021, November). Accelerometers - Embedded lycra sleeves to test wear compliance and upper limb activity in people with stroke: a feasibility study - UK Stroke Forum 2021. Presented at UK Stroke Forum Conference, 2021, Telford, UK and online

Background: To establish a possible effect of Lycra sleeves, accurate recording of wear time is critical. The aim of this study was to test whether an accelerometer-embedded Lycra sleeve can measure wear compliance and record upper limb (UL) movement... Read More about Accelerometers - Embedded lycra sleeves to test wear compliance and upper limb activity in people with stroke: a feasibility study - UK Stroke Forum 2021.

Fabrication and mechanical properties of biomimetic nacre-like ceramic/polymer composites for chairside CAD/CAM dental restorations (2021)
Journal Article
Algharaibeh, S., Wan, H., Al-Fodeh, R., Ireland, A. J., Zhang, D., & Su, B. (2022). Fabrication and mechanical properties of biomimetic nacre-like ceramic/polymer composites for chairside CAD/CAM dental restorations. Dental Materials, 38(1), 121-132. https://doi.org/10.1016/j.dental.2021.10.016

Objective: To fabricate and characterise a novel chairside CAD/CAM composite dental materials. These composites have a nacre-like anisotropic microstructure, consisting of highly aligned ceramic scaffolds infiltrated with polymer. Method: Bi-directio... Read More about Fabrication and mechanical properties of biomimetic nacre-like ceramic/polymer composites for chairside CAD/CAM dental restorations.