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Welcome to USIR

Welcome to the University of Salford repository (USIR), an Open Access showcase for the published research output of the university. Our collection contains a wide range of research across multiple formats and subject areas.

Whenever possible, outputs will be made openly available here in full digital format for download, with many under a Creative Commons license. See our Policies for further information https://salford-repository.worktribe.com/policies.



Latest Additions

The Importance of Applying Authentic Learning in Pre-registration Nursing Education (2024)
Journal Article
Sadat, A., & Pilkington, R. (2024). The Importance of Applying Authentic Learning in Pre-registration Nursing Education. Innovative practice in higher education, 5(3), Article 2

This paper explores the significance of authenticity in nursing education and the development of authentic healthcare practitioners. Identifying a current lack of authenticity in the learning materials used in the Transdisciplinary Science module at... Read More about The Importance of Applying Authentic Learning in Pre-registration Nursing Education.

A Validity of Transparency Optimized 4-Channel Architecture in Bilateral Teleoperation (2018)
Conference Proceeding
Saleem, M. H., & Uddin, R. (2018). A Validity of Transparency Optimized 4-Channel Architecture in Bilateral Teleoperation.

In order to perform any task remotely using teleoperation system, transparency is considered as an important performance measure. There are many teleoperation architectures, which are used in several applications of teleoperation. In this research,... Read More about A Validity of Transparency Optimized 4-Channel Architecture in Bilateral Teleoperation.

Intelligent Control System to Identify Fault in Distribution Network of Smart Grid through Neural Network (2019)
Conference Proceeding
Saleem, M. H., & Uddin, R. (2019). Intelligent Control System to Identify Fault in Distribution Network of Smart Grid through Neural Network.

In distribution network of smart grid there are various type of fault occur in the network, which are challenge for the control system to identify its type of fault, location and restore the network automatically. In this paper we applied neural netw... Read More about Intelligent Control System to Identify Fault in Distribution Network of Smart Grid through Neural Network.

Parametric Sensitivity Analyses for Perceived Impedance in Haptic Teleoperation (2019)
Journal Article
Uddin, R., Saleem, M. H., & Ryu, J. (2019). Parametric Sensitivity Analyses for Perceived Impedance in Haptic Teleoperation. International Journal of Control, Automation and Systems, 17(8), 2083-2096. https://doi.org/10.1007/s12555-018-0614-8

In this paper, sensitivity analyses (SA) are performed in order to find the effect of variations of master/slave site dynamics parameters on the perceived impedance in haptic teleoperation in the absence/presence of communication time delays. These a... Read More about Parametric Sensitivity Analyses for Perceived Impedance in Haptic Teleoperation.