Enhancing tele-operation - Investigating the effect of sensory feedback on performance (2023)
Thesis
Bolarinwa, J. Enhancing tele-operation - Investigating the effect of sensory feedback on performance. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/8040185

The decline in the number of healthcare service providers in comparison to the growing numbers of service users prompts the development of technologies to improve the efficiency of healthcare services. One such technology which could offer support a... Read More about Enhancing tele-operation - Investigating the effect of sensory feedback on performance.

Haptic teleoperation goes wireless: Evaluation and benchmarking of a high-performance low-power wireless control technology (2022)
Conference Proceeding
Bolarinwa, J., Smith, A., Aijaz, A., Stanoev, A., Sooriyabandara, M., & Giuliani, M. (2022). Haptic teleoperation goes wireless: Evaluation and benchmarking of a high-performance low-power wireless control technology. In 2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) (300-307). https://doi.org/10.1109/ssrr56537.2022.10018764

Communication delays and packet losses are commonly investigated issues in the area of robotic teleoperation. This paper investigates application of a novel low-power wireless control technology (GALLOP) in a haptic teleoperation scenario developed t... Read More about Haptic teleoperation goes wireless: Evaluation and benchmarking of a high-performance low-power wireless control technology.

Control of friction by imposing vibration between sliding surfaces and its influence on the efficiency of gears (2022)
Thesis
Udaykant Jadav, P. Control of friction by imposing vibration between sliding surfaces and its influence on the efficiency of gears. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/9434292

The worm and wheel type gear arrangement is the usual choice for heavy duty applications requiring large operating torques. However, it is dominated by the sliding action of gear teeth which causes high frictional losses that significantly impact eff... Read More about Control of friction by imposing vibration between sliding surfaces and its influence on the efficiency of gears.

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.

Investigation of flow augmentation and dynamic stall control devices as performance enhancement of lift-driven vertical axis wind turbine using high-fidelity CFD methods (2022)
Thesis
Syawitri, T. P. Investigation of flow augmentation and dynamic stall control devices as performance enhancement of lift-driven vertical axis wind turbine using high-fidelity CFD methods. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/8045334

This study performs an investigation of dynamic stall control (Gurney flap (GF)) and flow augmentation (straight upstream deflector (SUD)) devices to improve the performance of lift-driven Vertical Axis Wind Turbine (VAWT) as they can improve the pow... Read More about Investigation of flow augmentation and dynamic stall control devices as performance enhancement of lift-driven vertical axis wind turbine using high-fidelity CFD methods.

A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance (2022)
Journal Article
Bennett, T., Kumar, P., & Ruiz Garate, V. R. (2022). A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance. Sensors, 22(13), https://doi.org/10.3390/s22134789

Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of ambulation and gait. However, the ability to perform these motions can be severely impaired by different factors, such as the occurrence of a stroke,... Read More about A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance.

Circular economy as a strategy in European automotive industries to achieve (2022)
Report
Hernandez, M. D. A., & Bakthavatchaalam, V. (2022). Circular economy as a strategy in European automotive industries to achieve. United Nations Department of Economic and Social Affairs - Forum on Science, Technology and Innovation for the SDGs (STI Forum)

The automotive industry is reported as being one of the main contributors to the global environmental crisis, thus requiring a radical shift in the way they perform business-as-usual (UNFCCC, 2018). The UN and a growing number of studies hail Circu... Read More about Circular economy as a strategy in European automotive industries to achieve.

What can be done about the discarded face mask pandemic? An innovative engineering solution (2022)
Report
Elhawary, O., & Bakthavatchaalam, V. (2022). What can be done about the discarded face mask pandemic? An innovative engineering solution. United Nations Department of Economic and Social Affairs - Forum on Science, Technology and Innovation for the SDGs (STI Forum)

The severe increase in pollution caused by the discarded face masks during COVID-19 cannot be overstated. This research provides an innovative engineering solution to this issue by recycling polypropylene, the primary plastic found in the facemasks t... Read More about What can be done about the discarded face mask pandemic? An innovative engineering solution.

Acceleration of circular economy in EU's automotive industry (2022)
Presentation / Conference
Del Angel Hernandez, M., & Bakthavatchaalam, V. (2022, May). Acceleration of circular economy in EU's automotive industry. Paper presented at United Nations University: Nexus Conference, Dresden

Background: The world is facing an environmental crisis driven by unsustainable industrial practices, with the automotive industries reported as being one of the main contributors, thus requiring a radical shift on the way they perform business-as-u... Read More about Acceleration of circular economy in EU's automotive industry.

Recycling face masks for manufacturing FlaxPP eco-composites (2022)
Presentation / Conference
ElHawary, O., & Bakthavatchaalam, V. (2022, May). Recycling face masks for manufacturing FlaxPP eco-composites. Poster presented at United Nations University: Nexus Conference, Dresden/Online

SDGs addressed: 9, 11, 12, 14 and 15. Introduction: The severe increase in the pollution caused by the discarded face masks during COVID-19 cannot be overstated. This research provides an innovative engineering solution to this issue by recycling p... Read More about Recycling face masks for manufacturing FlaxPP eco-composites.

Towards adoption of mobile data collection for effective adaptation and climate risk management in Africa (2022)
Journal Article
Adekola, O., Lamond, J., Adelekan, I., Bhattacharya-Mis, N., Mboto, E., Eze, B., & Ujoh, F. (in press). Towards adoption of mobile data collection for effective adaptation and climate risk management in Africa. Geoscience Data Journal, https://doi.org/10.1002/gdj3.156

The collection and use of data on climate change and its impacts are crucial for effective climate adaptation and climate risk management. The revolution in internet access, technology and costs has led to a shift from using traditional paper-based d... Read More about Towards adoption of mobile data collection for effective adaptation and climate risk management in Africa.

A study on the effects of cognitive overloading and distractions on human movement during robot-assisted dressing (2022)
Journal Article
Dogramadzi, S., Caleb-Solly, P., & Camilleri, A. (2022). A study on the effects of cognitive overloading and distractions on human movement during robot-assisted dressing. Frontiers in Robotics and AI, 9, Article 815871. https://doi.org/10.3389/frobt.2022.815871

For robots that can provide physical assistance, maintaining synchronicity of the robot and human movement is a precursor for interaction safety. Existing research on collaborative HRI does not consider how synchronicity can be affected if humans are... Read More about A study on the effects of cognitive overloading and distractions on human movement during robot-assisted dressing.

A multi-objective integrated optimisation model for facility location and order allocation problem in a two-level supply chain network (2022)
Journal Article
Amin-Tahmasbi, H., Sadafi, S., Ekren, B. Y., & Kumar, V. (in press). A multi-objective integrated optimisation model for facility location and order allocation problem in a two-level supply chain network. Annals of Operations Research, https://doi.org/10.1007/s10479-022-04635-1

This study proposes a mixed-integer multi-objective integrated mathematical model solving facility location and order allocation optimisation problems simultaneously in a two-echelon supply chain network. The proposed problem is motivated by a factor... Read More about A multi-objective integrated optimisation model for facility location and order allocation problem in a two-level supply chain network.

Emissions from municipal solid waste (MSW) and its potential for energy production (2022)
Presentation / Conference
Umar, T. (2022, March). Emissions from municipal solid waste (MSW) and its potential for energy production. Presented at International Conference on Energy Conservation and Efficiency (ICECE), Pakistan

The adverse impact of the energy production from fossil fuels is now well recognised globally. Likewise, reduction in emissions is the key to tackle climate change issues and achieve environmental sustainability. Therefore, the move towards renewable... Read More about Emissions from municipal solid waste (MSW) and its potential for energy production.

Sustainable engineering higher education in Oman-lessons learned from the pandemic (COVID-19), improvements, and suggestions in the teaching, learning and administrative framework (2022)
Journal Article
Honnurvali, M. S., El-Saleh, A. A., Sheikh, A. M., Goh, K., Gupta, N., & Umar, T. (2022). Sustainable engineering higher education in Oman-lessons learned from the pandemic (COVID-19), improvements, and suggestions in the teaching, learning and administrative framework. Journal of Engineering Education Transformations, 35(3), 52-69

This research study has investigated the challenges faced due to the pandemic (COVID-19). This paper further provides recommendations that can be adopted by academics, learners, and administrators to make the education system more robust and sustaina... Read More about Sustainable engineering higher education in Oman-lessons learned from the pandemic (COVID-19), improvements, and suggestions in the teaching, learning and administrative framework.

Development of an analytical model for the FRP retrofitted deficient interior reinforced concrete beam-column joints (2022)
Journal Article
Zia, A., Pu, Z., Holly, I., Umar, T., & Tariq, M. A. U. R. (2022). Development of an analytical model for the FRP retrofitted deficient interior reinforced concrete beam-column joints. Applied Sciences, 12(5), Article 2339. https://doi.org/10.3390/app12052339

Beam‐column joints (BCJs) constructed until the 1970s carry a low shear capability due to the absence of shear reinforcement. Fiber‐reinforced polymers (FRP) are more reliable than other materials to strengthen a weak BCJ. To date, plenty of analytic... Read More about Development of an analytical model for the FRP retrofitted deficient interior reinforced concrete beam-column joints.

A new modified social engineering optimizer algorithm for engineering applications (2022)
Journal Article
Goodarzian, F., Ghasemi, P., Kumar, V., & Abraham, A. (2022). A new modified social engineering optimizer algorithm for engineering applications. Soft Computing, 26, 4333–4361. https://doi.org/10.1007/s00500-022-06837-y

Nowadays, a great deal of attention is paid to metaheuristic algorithms to reach the approximate solution in an acceptable computational time. As one of the recent-developed successful metaheuristics, Social Engineering Optimizer (SEO) algorithm is a... Read More about A new modified social engineering optimizer algorithm for engineering applications.

Response of gyroid lattice structures to impact loads (2022)
Journal Article
Ramos, H., Santiago, R., Soe, S., Theobald, P., & Alves, M. (2022). Response of gyroid lattice structures to impact loads. International Journal of Impact Engineering, 164, Article 104202. https://doi.org/10.1016/j.ijimpeng.2022.104202

This paper reports on a comprehensive investigation of gyroid lattice structures subject to impact loading. AlSi10Mg samples were manufactured using selective laser melting (SLM) and mechanically characterized using Digital Image Correlation (DIC). U... Read More about Response of gyroid lattice structures to impact loads.

DETI Inspire Engagement Report 2020-2021 (2022)
Report
Fogg Rogers, L., Laggan, S., Bristow, A., Warren, J., Cockbill, L., Lister, L., & Hobbs, L. (2022). DETI Inspire Engagement Report 2020-2021. Bristol, UK: Digital Engineering Technology and Innovation

From September 2020 to December 2021, DETI Inspire has delivered an impressive array of outputs and engagement activities. In two years, the team have directly engaged 6,832 children and 216 teachers from 73 schools and community groups in the West o... Read More about DETI Inspire Engagement Report 2020-2021.

Automatic report-based labelling of clinical EEGs for classifier training (2022)
Conference Proceeding
Western, D., Weber, T., Kandasamy, R., May, F., Taylor, S., Zhu, Y., & Canham, L. (2022). Automatic report-based labelling of clinical EEGs for classifier training. In 2021 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). https://doi.org/10.1109/SPMB52430.2021.9672295

Machine learning classifiers for detection of abnormal clinical electroencephalography (EEG) signals have advanced signficantly in recent years, largely supported by the carefully curated Temple University Hospital Abnormal EEG Corpus (TUAB). Further... Read More about Automatic report-based labelling of clinical EEGs for classifier training.