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All Outputs (27)

Opening out and closing down: The treatment of uncertainty in transport planning’s forecasting paradigm (2019)
Journal Article
Lyons, G., & Marsden, G. (2021). Opening out and closing down: The treatment of uncertainty in transport planning’s forecasting paradigm. Transportation, 48, 595–616. https://doi.org/10.1007/s11116-019-10067-x

© 2019, The Author(s). Since the 1960s, development of the transport system has been framed by the notion of forecasting future demand. Yet the past decade or more appears to signal some significant changes to the role of travel in society which are... Read More about Opening out and closing down: The treatment of uncertainty in transport planning’s forecasting paradigm.

Validating a scale to measure engineers’ perceived self-efficacy for engineering education outreach (2019)
Journal Article
Fogg-Rogers, L., & Moss, T. (2019). Validating a scale to measure engineers’ perceived self-efficacy for engineering education outreach. PLoS ONE, 14(10), Article e0223728. https://doi.org/10.1371/journal.pone.0223728

Education outreach in schools has been identified as a critical route to influence children's perceptions and capabilities for Science, Technology, Engineering, and Mathematics careers. Evidence suggests that providing non-teaching professionals like... Read More about Validating a scale to measure engineers’ perceived self-efficacy for engineering education outreach.

Elastic response of cross-laminated engineered bamboo panels subjected to in-plane loading (2019)
Journal Article
Archila, H. F., Rhead, A., Ansell, M. P., Walker, P., & Lizarazo-Marriaga, J. (2019). Elastic response of cross-laminated engineered bamboo panels subjected to in-plane loading. Proceedings of the ICE - Construction Materials, 172(6), 284-295. https://doi.org/10.1680/jcoma.16.00080

© ICE Publishing: All rights reserved. Novel cross-laminated bamboo panels comprising three and five layers (G-XLam3 and G-XLam5) were tested in compression along the main (0°) and the transverse (90°) directions. Linear variable differential transfo... Read More about Elastic response of cross-laminated engineered bamboo panels subjected to in-plane loading.

Influence of Big Data in managing cyber assets (2019)
Journal Article
Mitra, A., & Munir, K. (2019). Influence of Big Data in managing cyber assets. Built Environment Project and Asset Management, 9(4), 503-514. https://doi.org/10.1108/BEPAM-07-2018-0098

© 2019, Emerald Publishing Limited. Purpose: Today, Big Data plays an imperative role in the creation, maintenance and loss of cyber assets of organisations. Research in connection to Big Data and cyber asset management is embryonic. Using evidence,... Read More about Influence of Big Data in managing cyber assets.

Sustainable Blue-Green Infrastructure: A social practice approach to understanding community preferences and stewardship (2019)
Journal Article
Lamond, J., & Everett, G. (2019). Sustainable Blue-Green Infrastructure: A social practice approach to understanding community preferences and stewardship. Landscape and Urban Planning, 191, Article 103639. https://doi.org/10.1016/j.landurbplan.2019.103639

© 2019 Blue-Green Infrastructure (BGI) is an approach to urban flood resilience, recognised globally and in international literature, that capitalises on the benefits of working with urban green-spaces and naturalised water-flows. Literature reveals... Read More about Sustainable Blue-Green Infrastructure: A social practice approach to understanding community preferences and stewardship.

The Small Towns conundrum: What do we do about them? (2019)
Journal Article
Atkinson, R. (2019). The Small Towns conundrum: What do we do about them?. Regional Statistics, 9(2), 3-19. https://doi.org/10.15196/RS090201

Small Towns have long been seen as an important element in Europe’s urban structure, currently around 24.2% of the European population live in them. Despite this, we know relatively little about them and there is insufficient recognition of the role... Read More about The Small Towns conundrum: What do we do about them?.

BIM fork: Are smart contracts in construction more likely to prosper with or without BIM? (2019)
Journal Article
Mason, J. (2019). BIM fork: Are smart contracts in construction more likely to prosper with or without BIM?. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 11(4), Article 02519002. https://doi.org/10.1061/%28asce%29la.1943-4170.0000316

Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article... Read More about BIM fork: Are smart contracts in construction more likely to prosper with or without BIM?.

Assessment of the physical characteristics and stormwater effluent quality of permeable pavement systems containing recycled materials (2019)
Journal Article
Monrose, J., Tota-Maharaj, K., & Mwasha, A. (2021). Assessment of the physical characteristics and stormwater effluent quality of permeable pavement systems containing recycled materials. Road Materials and Pavement Design, 22(4), 779-811. https://doi.org/10.1080/14680629.2019.1643397

This paper evaluates the physical characteristics of two recycled materials and the pollutant removal efficiencies of four 0.2 m2 tanked permeable pavement rigs in the laboratory, that contained either natural aggregates or these recycled materials i... Read More about Assessment of the physical characteristics and stormwater effluent quality of permeable pavement systems containing recycled materials.

Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks (2019)
Journal Article
Abeywardena, S., Yuan, Q., Tzemanaki, A., Psomopoulou, E., Droukas, L., Melhuish, C., & Dogramadzi, S. (2019). Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks. Frontiers in Robotics and AI, 6, Article 56. https://doi.org/10.3389/frobt.2019.00056

A new algorithm is proposed to estimate the tool-tissue force interaction in robot-assisted minimally invasive surgery which does not require the use of external force sensing. The proposed method utilizes the current of the motors of the surgical in... Read More about Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks.

Bi-objective optimization model for optimal placement of thyristor-controlled series compensator devices (2019)
Journal Article
Salehizadeh, M. R., Koohbijari, M. A., Nouri, H., Taşcıkaraoğlu, A., Erdinç, O., & Catalão, J. P. S. (2019). Bi-objective optimization model for optimal placement of thyristor-controlled series compensator devices. Energies, 12(13), 1-16. https://doi.org/10.3390/en12132601

Exposure to extreme weather conditions increases power systems’ vulnerability in front of high impact, low probability contingency occurrence. In the post-restructuring years, due to the increasing demand for energy, competition between electricity m... Read More about Bi-objective optimization model for optimal placement of thyristor-controlled series compensator devices.

An ontology-based i* goal-oriented referential integrity model in systems of systems context (2019)
Journal Article
AlHajHassan, S., Odeh, M., Green, S., & Mansour, A. (2019). An ontology-based i* goal-oriented referential integrity model in systems of systems context. International Arab Journal of Information Technology, 16(3A), 565-576

System of Systems (SoS) results from the integration of a set of independent Constituent Systems (CS) that could be socio or technical, in order to offer unique functionalities. SoS is largely driven by stakeholders’ needs and goals taking into consi... Read More about An ontology-based i* goal-oriented referential integrity model in systems of systems context.

New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on hessian matrix inversion (2019)
Journal Article
Wei, L., Jin, L., Yang, C., Chen, K., & Li, W. (2021). New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on hessian matrix inversion. IEEE Transactions on Systems Man and Cybernetics: Systems, 51(4), 2611 - 2623. https://doi.org/10.1109/TSMC.2019.2916892

Nonlinear optimization problems with dynamical parameters are widely arising in many practical scientific and engineering applications, and various computational models are presented for solving them under the hypothesis of short-time invariance. To... Read More about New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on hessian matrix inversion.

Composite learning adaptive backstepping control using neural networks with compact supports (2019)
Journal Article
Pan, Y., Yang, C., Pratama, M., & Yu, H. (2019). Composite learning adaptive backstepping control using neural networks with compact supports. International Journal of Adaptive Control and Signal Processing, 33(12), 1726-1738. https://doi.org/10.1002/acs.3002

© 2019 John Wiley & Sons, Ltd. The ability to learn is crucial for neural network (NN) control as it is able to enhance the overall stability and robustness of control systems. In this study, a composite learning control strategy is proposed for a... Read More about Composite learning adaptive backstepping control using neural networks with compact supports.

Adaptive neural network control of underactuated surface vessels with guaranteed transient performance: Theory and experimental results (2019)
Journal Article
Chen, L., Cui, R., Yang, C., & Yan, W. (2020). Adaptive neural network control of underactuated surface vessels with guaranteed transient performance: Theory and experimental results. IEEE Transactions on Industrial Electronics, 67(5), 4024-4035. https://doi.org/10.1109/TIE.2019.2914631

In this paper, an adaptive trajectory tracking control algorithm for underactuated unmanned surface vessels (USVs) with guaranteed transient performance is proposed. To meet the realistic dynamical model of USVs, we consider that the mass and dam... Read More about Adaptive neural network control of underactuated surface vessels with guaranteed transient performance: Theory and experimental results.

Force Sensorless Admittance Control with Neural Learning for Robots with Actuator Saturation (2019)
Journal Article
Peng, G., Yang, C., He, W., & Chen, C. L. (2020). Force Sensorless Admittance Control with Neural Learning for Robots with Actuator Saturation. IEEE Transactions on Industrial Electronics, 67(4), 3138-3148. https://doi.org/10.1109/TIE.2019.2912781

© 1982-2012 IEEE. In this paper, we present a sensorless admittance control scheme for robotic manipulators to interact with unknown environments in the presence of actuator saturation. The external environment is defined as linear models with unknow... Read More about Force Sensorless Admittance Control with Neural Learning for Robots with Actuator Saturation.

Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback (2019)
Journal Article
Kong, L., He, W., Dong, Y., Cheng, L., Yang, C., & Li, Z. (2021). Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback. IEEE Transactions on Systems Man and Cybernetics: Systems, 51(3), 1735-1746. https://doi.org/10.1109/TSMC.2019.2901277

In this paper, an adaptive neural bounded control scheme is proposed for an n-link rigid robotic manipulator with unknown dynamics. With the combination of the neural approximation and backstepping technique, an adaptive neural network control policy... Read More about Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback.

A task learning mechanism for the telerobots (2019)
Journal Article
Luo, J., Yang, C., Li, Q., & Wang, M. (2019). A task learning mechanism for the telerobots. International Journal of Humanoid Robotics, 16(2), 1950009. https://doi.org/10.1142/S0219843619500099

Telerobotic systems have attracted growing attention because of their superiority in the dangerous or unknown interaction tasks. It is very challengeable to exploit such systems to implement complex tasks in an autonomous way. In this paper, we propo... Read More about A task learning mechanism for the telerobots.

Efficient 3D object recognition via geometric information preservation (2019)
Journal Article
Liu, H., Cong, Y., Yang, C., & Tang, Y. (2019). Efficient 3D object recognition via geometric information preservation. Pattern Recognition, 92, 135-145. https://doi.org/10.1016/j.patcog.2019.03.025

© 2019 Elsevier Ltd Accurate 3D object recognition and 6-DOF pose estimation have been pervasively applied to a variety of applications, such as unmanned warehouse, cooperative robots, and manufacturing industry. How to extract a robust and represent... Read More about Efficient 3D object recognition via geometric information preservation.

Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning (2019)
Journal Article
Kong, L., He, W., Yang, C., Li, Z., & Sun, C. (2019). Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning. IEEE Transactions on Cybernetics, 49(8), 3052-3063. https://doi.org/10.1109/TCYB.2018.2838573

In this paper, we investigate fuzzy neural network (FNN) control using impedance learning for coordinated multiple constrained robots carrying a common object in the presence of the unknown robotic dynamics and the unknown environment with which the... Read More about Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning.