All Outputs (94)

EEG evaluation in a neuropsychological intervention program based on virtual reality in adults with Parkinson’s disease (2022)
Journal Article
Muñoz, D., Barria, P., Cifuentes, C. A., Aguilar, R., Baleta, K., Azorín, J. M., & Múnera, M. (2022). EEG evaluation in a neuropsychological intervention program based on virtual reality in adults with Parkinson’s disease. Biosensors, 12(9), 751. https://doi.org/10.3390/bios12090751

Nowadays, several strategies for treating neuropsychologic function loss in Parkinson’s disease (PD) have been proposed, such as physical activity performance and developing games to exercise the mind. However, few studies illustrate the incidence of... Read More about EEG evaluation in a neuropsychological intervention program based on virtual reality in adults with Parkinson’s disease.

Modified multi-direction iterative algorithm for separable nonlinear models with missing data (2022)
Journal Article
Chen, J., Hu, M., Mao, Y., & Zhu, Q. (2022). Modified multi-direction iterative algorithm for separable nonlinear models with missing data. IEEE Signal Processing Letters, 29, 1968-1972. https://doi.org/10.1109/LSP.2022.3204408

Multi-direction iterative (MUL-DI) algorithm is an efficient algorithm for large-scale models, and it establishes a theoretical linkage between least squares (LS) and gradient descent (GD) algorithms. However, it involves Givens transformation and de... Read More about Modified multi-direction iterative algorithm for separable nonlinear models with missing data.

Identifying fibre orientations for fracture process zone characterization in scaled centre-notched quasi-isotropic carbon/epoxy laminates with a convolutional neural network (2022)
Journal Article
Xu, X., Abbas, A., & Lee, J. (2022). Identifying fibre orientations for fracture process zone characterization in scaled centre-notched quasi-isotropic carbon/epoxy laminates with a convolutional neural network. Engineering Fracture Mechanics, 274, 108768. https://doi.org/10.1016/j.engfracmech.2022.108768

This paper presents a novel X-ray Computed Tomography (CT) image analysis method to characterize the Fracture Process Zone (FPZ) in scaled centre-notched quasi-isotropic carbon/epoxy laminates. A total of 61 CT images of a small specimen were used to... Read More about Identifying fibre orientations for fracture process zone characterization in scaled centre-notched quasi-isotropic carbon/epoxy laminates with a convolutional neural network.

Reflecting on deepening participation in recruitment and evaluation in citizen science - lessons from the WeCount project (2022)
Journal Article
Sardo, M., Laggan, S., Franchois, E., & Fogg-Rogers, L. (2022). Reflecting on deepening participation in recruitment and evaluation in citizen science - lessons from the WeCount project. fteval Journal for Research and Technology Policy Evaluation, 54, 20-32. https://doi.org/10.22163/fteval.2022.568

This paper focuses on an urban mobility citizen science project in which citizens participated in several ways, from technical development to engagement and evaluation. Drawing on asset-based community development, the WeCount project aimed to empowe... Read More about Reflecting on deepening participation in recruitment and evaluation in citizen science - lessons from the WeCount project.

Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise (2022)
Journal Article
Gu, Y., Dai, W., Zhu, Q., & Nouri, H. (2023). Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise. Journal of Computational and Applied Mathematics, 420, 114794. https://doi.org/10.1016/j.cam.2022.114794

This paper considers the combined parameter and state estimation problem of a bilinear state space system with moving average noise. There are product terms of state variables and control variables in bilinear systems, which brings difficulties to pa... Read More about Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise.

Predicting perceived exhaustion in rehabilitation exercises using facial action units (2022)
Journal Article
Kreis, C., Aguirre, A., Cifuentes, C. A., Munera, M., Jiménez, M. F., & Schneider, S. (2022). Predicting perceived exhaustion in rehabilitation exercises using facial action units. Sensors, 22(17), e6524. https://doi.org/10.3390/s22176524

Physical exercise has become an essential tool for treating various non-communicable diseases (also known as chronic diseases). Due to this, physical exercise allows to counter different symptoms and reduce some risk of death factors without medicati... Read More about Predicting perceived exhaustion in rehabilitation exercises using facial action units.

Laser powder bed fusion of TiB2-modified Cu15Ni8Sn alloy: Processability, microstructure and mechanical performance (2022)
Journal Article
Gao, J., Han, Q., Wang, L., Liu, Z., Soe, S., Zhang, Z., & Gu, Y. (2022). Laser powder bed fusion of TiB2-modified Cu15Ni8Sn alloy: Processability, microstructure and mechanical performance. Materials Science and Engineering: A, 855, 143879. https://doi.org/10.1016/j.msea.2022.143879

Cu15Ni8Sn is widely used in the aerospace and electronics domains because of its good conductivity and toughness. Due to the material's high laser reflectivity and thermal conductivity, however, employing the laser powder bed fusion (LPBF) additive m... Read More about Laser powder bed fusion of TiB2-modified Cu15Ni8Sn alloy: Processability, microstructure and mechanical performance.

Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification (2022)
Journal Article
Sikurajapathi, I., Henderson, K., & Gwynllyw, R. (2022). Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification. MSOR Connections, 20(3), 55-71. https://doi.org/10.21100/msor.v20i3.1345

This article gives an overview of the interactive book called ‘Collection of Taxonomically Classified Mathematical Common Student Errors in e-Assessments (CSE Book)’ which has been produced as a result of the Common Student Errors Project (CSE Projec... Read More about Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification.

Robust adaptive dynamic surface control scheme for a class of single‐input and single‐output uncertain nonlinear systems in strict‐feedback form (2022)
Journal Article
Soukkou, Y., Tadjine, M., Nibouche, M., & Zhu, Q. (2022). Robust adaptive dynamic surface control scheme for a class of single‐input and single‐output uncertain nonlinear systems in strict‐feedback form. International Journal of Adaptive Control and Signal Processing, 36(11), 2938-2952. https://doi.org/10.1002/acs.3486

This article presents a robust adaptive dynamic surface control using σ-modification adaptation laws for a class of single-input and single-output (SISO) uncertain nonlinear systems in strict-feedback form with parametric uncertainties and external d... Read More about Robust adaptive dynamic surface control scheme for a class of single‐input and single‐output uncertain nonlinear systems in strict‐feedback form.

Saltwater-responsive bubble artificial muscles using superabsorbent polymers (2022)
Journal Article
Gosden, D., Diteesawat, R. S., Studley, M., & Rossiter, J. (2022). Saltwater-responsive bubble artificial muscles using superabsorbent polymers. Frontiers in Robotics and AI, 9, 960372. https://doi.org/10.3389/frobt.2022.960372

Robots operating in changing underwater environments may be required to adapt to these varying conditions. In tidal estuaries, for example, where the degree of salinity cycles in step with the level of the water, a robot may need to adapt its behavio... Read More about Saltwater-responsive bubble artificial muscles using superabsorbent polymers.

Biomimetic force and impedance adaptation based on broad learning system in stable and unstable tasks: Creating an incremental and explainable neural network with functional linkage (2022)
Journal Article
Lu, Z., & Wang, N. (in press). Biomimetic force and impedance adaptation based on broad learning system in stable and unstable tasks: Creating an incremental and explainable neural network with functional linkage. IEEE Robotics and Automation Magazine, 2-13. https://doi.org/10.1109/MRA.2022.3188218

This article presents a novel biomimetic force and impedance adaption framework based on the broad learning system (BLS) for robot control in stable and unstable environments. Different from iterative learning control, the adaptation process is real... Read More about Biomimetic force and impedance adaptation based on broad learning system in stable and unstable tasks: Creating an incremental and explainable neural network with functional linkage.

The impact of data sonification in virtual reality robot teleoperation (2022)
Journal Article
Bremner, P., Mitchell, T. J., & McIntosh, V. (2022). The impact of data sonification in virtual reality robot teleoperation. Frontiers in Virtual Reality, 3, 904720. https://doi.org/10.3389/frvir.2022.904720

Virtual Reality (VR) is being increasingly used to provide a more intuitive and embodied approach to robotic teleoperation, giving operators a sense of presence in the remote environment. Prior research has shown that presence can be enhanced when ad... Read More about The impact of data sonification in virtual reality robot teleoperation.

An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer (2022)
Journal Article
Li, R., Zhu, Q., Zhang, W., Yue, X., & Narayan, P. (2023). An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer. International Journal of Control, 96(11), 2737-2748. https://doi.org/10.1080/00207179.2022.2111370

This paper presents a new method to calculate the inversion of the controlled linear/nonlinear dynamic plants which are described by input–output differential equation models. This new U-model-based inverter (U-inverter), cancels both system dynamics... Read More about An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer.

GA-AHP Method to support robotic polishing process planning (2022)
Journal Article
Wang, K., Ding, L., Dailami, F., & Matthews, J. (2022). GA-AHP Method to support robotic polishing process planning. Digital Manufacturing Technology, 2(2), 23-44. https://doi.org/10.37256/dmt.2220221513

The finishing stage of mould manufacturing is generally completed via mechanical polishing, manual conducted. Not only is this the most expensive phase of the process but also is currently struggling with a deficit of skilled workers. To address thes... Read More about GA-AHP Method to support robotic polishing process planning.

A collaboration scheme for controlling multimanipulator system: A game-theoretic perspective (2022)
Journal Article
Zhang, J., Jin, L., Wang, Y., & Yang, C. (2023). A collaboration scheme for controlling multimanipulator system: A game-theoretic perspective. IEEE/ASME Transactions on Mechatronics, 28(1), 128-139. https://doi.org/10.1109/TMECH.2022.3193136

In some task-oriented multimanipulator applications, the system not only needs to complete the main assigned tasks, but also should optimize some subobjectives. In order to tap the redundancy potential of individual manipulators and improve the perfo... Read More about A collaboration scheme for controlling multimanipulator system: A game-theoretic perspective.

A comprehensive expectation identification framework for multirate time-delayed systems (2022)
Journal Article
Chen, J., Gao, J., Liu, Y., Wang, C., & Zhu, Q. (2023). A comprehensive expectation identification framework for multirate time-delayed systems. IEEE Transactions on Industrial Informatics, 19(5), 7011-7021. https://doi.org/10.1109/TII.2022.3194656

The expectation maximization (EM) algorithm has been extensively used to solve system identification problems with hidden variables. It needs to calculate a derivative equation and perform a matrix inversion in the EM-M step. The equations related to... Read More about A comprehensive expectation identification framework for multirate time-delayed systems.

Formation flying along libration point orbits using chattering attenuation sliding mode control (2022)
Journal Article
Bando, M., Namati, H., Akiyama, Y., & Hokamoto, S. (in press). Formation flying along libration point orbits using chattering attenuation sliding mode control. Frontiers in Space Technologies, 3, 919932. https://doi.org/10.3389/frspt.2022.919932

This paper studies a control law to achieve formation flying in cislunar space. Utilizing the eigenstructure of the linearized flow around a libration point of the Earth-Moon circular restricted three-body problem, the fuel efficient formation flying... Read More about Formation flying along libration point orbits using chattering attenuation sliding mode control.

Sport-related back injury prevention with a wearable device (2022)
Journal Article
Jenkins, L., & Weerasekera, R. (2022). Sport-related back injury prevention with a wearable device. Journal of Biosensors and Bioelectronics, 11, Article 100202. https://doi.org/10.1016/j.biosx.2022.100202

There has been a high incidence rates (∼41%) of back injury from undertaking weightlifting exercises as a result of improper lifting posture, where the spine should remain straight during a lifting movement which is often not adopted correctly by ado... Read More about Sport-related back injury prevention with a wearable device.

Experimental and numerical study of hybrid (CFRP-GFRP) composite laminates containing circular cut-outs under shear loading (2022)
Journal Article
Damghani, M., Ali, R., Murphy, A., & Fotouhi, M. (2022). Experimental and numerical study of hybrid (CFRP-GFRP) composite laminates containing circular cut-outs under shear loading. Thin-Walled Structures, 179(October 2022), 109752. https://doi.org/10.1016/j.tws.2022.109752

Previous works have established the response and failure behaviour of hybrid (CFRP-GFRP) laminates when subjected to a wide range of destabilising loads. However, to date no works have focused on plates with cut-outs under shear loading and quantifie... Read More about Experimental and numerical study of hybrid (CFRP-GFRP) composite laminates containing circular cut-outs under shear loading.

Robust output-feedback predictive control for proximity eddy current de-tumbling with constraints and uncertainty (2022)
Journal Article
Liu, X., Chang, H., Huang, P., & Lu, Z. (2023). Robust output-feedback predictive control for proximity eddy current de-tumbling with constraints and uncertainty. IEEE Transactions on Aerospace and Electronic Systems, 59(2), 858-870. https://doi.org/10.1109/TAES.2022.3191293

Proximity operation can significantly improve the efficiency of eddy current de-tumbling. However, the tumbling motion and non-cooperation of space debris make the chaser execute collision avoidance maneuvers and be influenced by model uncertainty. I... Read More about Robust output-feedback predictive control for proximity eddy current de-tumbling with constraints and uncertainty.