Outputs (293)

Corralling Culture as a Concept in LIS Research (2020)
Presentation / Conference Contribution
Salzano, R., Hall, H., & Webster, G. (2020, October). Corralling Culture as a Concept in LIS Research. Presented at 83rd Annual Meeting of the Association of Information Science and Technology, Virtual

Individuals’ cultural backgrounds influence their use of societal resources, including libraries. A literature search and review was completed on the treatment of culture in library and information science (LIS) in the body of work on information beh... Read More about Corralling Culture as a Concept in LIS Research.

Research Impact Value and Library and Information Science (RIVAL): development, implementation and outcomes of a Scottish network for LIS researchers and practitioners (2020)
Presentation / Conference Contribution
Hall, H., & Ryan, B. (2020, October). Research Impact Value and Library and Information Science (RIVAL): development, implementation and outcomes of a Scottish network for LIS researchers and practitioners. Presented at 83rd Annual Meeting of the Associat

The research-practice gap in Library and Information Science (LIS) is well documented, especially in respect of the difficulties of translating research into practice, and resultant lost opportunities. While many researchers attempt to explain this r... Read More about Research Impact Value and Library and Information Science (RIVAL): development, implementation and outcomes of a Scottish network for LIS researchers and practitioners.

Fault diagnosis based on extremely randomized trees in wireless sensor networks (2020)
Journal Article
Saeed, U., Jan, S. U., Lee, Y., & Koo, I. (2021). Fault diagnosis based on extremely randomized trees in wireless sensor networks. Reliability Engineering and System Safety, 205, Article 107284. https://doi.org/10.1016/j.ress.2020.107284

Wireless Sensor Network (WSN) being highly diversified cyber–physical system makes it vulnerable to numerous failures, which can cause devastation towards safety, economy, and systems’ reliability. Precise detection and diagnosis of failures or fault... Read More about Fault diagnosis based on extremely randomized trees in wireless sensor networks.

A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments (2020)
Journal Article
Al-Ghadir, A. I., Azmi, A. M., & Hussain, A. (2021). A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments. Information Fusion, 67, 29-40. https://doi.org/10.1016/j.inffus.2020.10.003

Stance detection is a relatively new concept in data mining that aims to assign a stance label (favor, against, or none) to a social media post towards a specific pre-determined target. These targets may not be referred to in the post, and may not be... Read More about A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments.

Attribute-Based Symmetric Searchable Encryption (2020)
Presentation / Conference Contribution
Dang, H., Ullah, A., Bakas, A., & Michalas, A. (2020). Attribute-Based Symmetric Searchable Encryption. In Applied Cryptography and Network Security Workshops (318-336). https://doi.org/10.1007/978-3-030-61638-0_18

Symmetric Searchable Encryption (SSE) is an encryption technique that allows users to search directly on their outsourced encrypted data while preserving the privacy of both the files and the queries. Unfortunately, majority of the SSE schemes allows... Read More about Attribute-Based Symmetric Searchable Encryption.

Empowering and Engaging European building users for energy efficiency (2020)
Journal Article
Morton, A., Reeves, A., Bull, R., & Preston, S. (2020). Empowering and Engaging European building users for energy efficiency. Energy Research and Social Science, 70, Article 101772. https://doi.org/10.1016/j.erss.2020.101772

Amidst the challenge of improving energy efficiency in the built environment, increasing attention is being put on how to engage and empower building users. Research shows that improving and widening user engagement, such as involving users in co-des... Read More about Empowering and Engaging European building users for energy efficiency.

A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network (2020)
Presentation / Conference Contribution
Thomson, C., Wadhaj, I., Al-Dubai, A., & Tan, Z. (2020, April). A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network. Presented at IEEE 6th World Forum on Internet of Things, New Orleans, Louisiana, USA

The issue of energy holes, or hotspots, in wireless sensor networks is well referenced. As is the proposed mobilisa-tion of the sink node in order to combat this. However, as the sink node shall still pass some nodes more closely and frequently than... Read More about A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network.

Active Learning for Interactive Audio-Animatronic Performance Design (2020)
Journal Article
Castellon, J., Bächer, M., McCrory, M., Ayala, A., Stolarz, J., & Mitchell, K. (2020). Active Learning for Interactive Audio-Animatronic Performance Design. The Journal of Computer Graphics Techniques, 9(3), 1-19

We present a practical neural computational approach for interactive design of Audio-Animatronic® facial performances. An offline quasi-static reference simulation, driven by a coupled mechanical assembly, accurately predicts hyperelastic skin deform... Read More about Active Learning for Interactive Audio-Animatronic Performance Design.

Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection (2020)
Journal Article
Tian, Z., Shi, W., Tan, Z., Qiu, J., Sun, Y., Jiang, F., & Liu, Y. (in press). Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection. Mobile Networks and Applications, https://doi.org/10.1007/s11036-020-01656-7

Organizations' own personnel now have a greater ability than ever before to misuse their access to critical organizational assets. Insider threat detection is a key component in identifying rare anomalies in context, which is a growing concern for ma... Read More about Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection.

Evolving planar mechanisms for the conceptual stage of mechanical design (2020)
Thesis
Lapok, P. Evolving planar mechanisms for the conceptual stage of mechanical design. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2709215

The design of planar mechanical systems is a challenging and time-consuming task for engineers. Evolutionary computing has been shown to be a successful tool applied to design automation in various mechanical engineering fields. This thesis aims to d... Read More about Evolving planar mechanisms for the conceptual stage of mechanical design.