All Outputs (242)

User Experience Design for Mixed Reality: A Case Study of HoloLens in Museum (2019)
Journal Article
Hammady, R., Strathearn, C., & Ma, M. (2019). User Experience Design for Mixed Reality: A Case Study of HoloLens in Museum. International Journal of Technology Marketing, 13(3-4), 354-375. https://doi.org/10.1504/ijtmkt.2019.10025609

In recent years, the applications of mixed reality (MR) processing have become highly apparent in academia and the manufacturing industry with the release of innovative technologies such as the Microsoft HoloLens. However, crucial design issues with... Read More about User Experience Design for Mixed Reality: A Case Study of HoloLens in Museum.

Wi-Fi Channel Saturation as a Mechanism to Improve Passive Capture of Bluetooth Through Channel Usage Restriction (2019)
Journal Article
Lowe, I., Buchanan, W. J., Macfarlane, R., & Lo, O. (2019). Wi-Fi Channel Saturation as a Mechanism to Improve Passive Capture of Bluetooth Through Channel Usage Restriction. Journal of Networking Technology, 10(4), 124-155. https://doi.org/10.6025/jnt/2019/10/4/124-155

Bluetooth is a short-range wireless technology that provides audio and data links between personal smartphones and playback devices, such as speakers, headsets and car entertainment systems. Since its introduction in 2001, security researchers have s... Read More about Wi-Fi Channel Saturation as a Mechanism to Improve Passive Capture of Bluetooth Through Channel Usage Restriction.

Creating an Ontology of Risk: a human-mediated process (2019)
Presentation / Conference Contribution
Haynes, D. (2019). Creating an Ontology of Risk: a human-mediated process. In The Human Position in an Artificial World: Creativity, Ethics and AI in Knowledge Organization (167-179)

Haynes, D. (2019, July). Creating an Ontology of Risk: a human-mediated process. Paper presented at The Human Position in an Artificial World: creativity, ethics and AI in knowledge organization. ISKO UK Sixth Biennial Conference, London.

The effects of syllable and utterance position on tongue shape and gestural magnitude in /l/ and /r (2019)
Presentation / Conference Contribution
Lawson, E., Leplatre, G., Stuart-Smith, J., & Scobbie, J. M. (2019, August). The effects of syllable and utterance position on tongue shape and gestural magnitude in /l/ and /r. Presented at 19th International Congress of Phonetic Sciences, Melbourne, Australia

This paper is an ultrasound-based articulatory study of the impact of syllable-position and utterance position on tongue shape and tongue-gesture magnitude in liquid consonants in American, Irish and Scottish English. Mixed effects modelling was used... Read More about The effects of syllable and utterance position on tongue shape and gestural magnitude in /l/ and /r.

Photo-Realistic Facial Details Synthesis from Single Image (2019)
Presentation / Conference Contribution
Chen, A., Chen, Z., Zhang, G., Zhang, Z., Mitchell, K., & Yu, J. (2019, October). Photo-Realistic Facial Details Synthesis from Single Image. Presented at 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea

We present a single-image 3D face synthesis technique that can handle challenging facial expressions while recovering fine geometric details. Our technique employs expression analysis for proxy face geometry generation and combines supervised and uns... Read More about Photo-Realistic Facial Details Synthesis from Single Image.

An Implementation of the UTAUT Model for Understanding Students’ Perceptions of Learning Management Systems: A Study Within Tertiary Institutions in Saudi Arabia (2019)
Journal Article
Alshehri, A., Rutter, M. J., & Smith, S. (2019). An Implementation of the UTAUT Model for Understanding Students’ Perceptions of Learning Management Systems: A Study Within Tertiary Institutions in Saudi Arabia. International Journal of Distance Education Technologies, 17(3), 1-24. https://doi.org/10.4018/IJDET.2019070101

The rapid growth of e-learning around the globe is inspiring various academic institutions to adopt it. Uptake is motivated by convincing benefits such as flexibility, accessibility and the management of course delivery and educational materials. In... Read More about An Implementation of the UTAUT Model for Understanding Students’ Perceptions of Learning Management Systems: A Study Within Tertiary Institutions in Saudi Arabia.

Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education (2019)
Journal Article
Binyamin, S., Rutter, M., & Smith, S. (2019). Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education. International Journal of Emerging Technologies in Learning, 14(3), 4-21. https://doi.org/10.3991/ijet.v14i03.9732

Although learning management systems (LMS) have been widely adopted by higher educational institutions in many countries, they are considered an emerging technology in Saudi Arabia. Furthermore, research has demonstrated that the students’ use of the... Read More about Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education.

A Review on Deep Learning Approaches to Image Classification and Object Segmentation (2019)
Journal Article
Wu, H., Liu, Q., & Liu, X. (2019). A Review on Deep Learning Approaches to Image Classification and Object Segmentation. Computers, Materials & Continua, 60(2), 575-597. https://doi.org/10.32604/cmc.2019.03595

Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent years. Present proposed artificial neural networks and optimization skills have effe... Read More about A Review on Deep Learning Approaches to Image Classification and Object Segmentation.

Using a longitudinal focus group methodology to measure the value and impact of public libraries (2019)
Presentation / Conference Contribution
Appleton, L., Duff, A. S., Hall, H., & Raeside, R. (2019). Using a longitudinal focus group methodology to measure the value and impact of public libraries. In Conference Proceedings (484-492)

Introduction There is a general acceptance that public libraries contribute to ‘community’, and at least have the potential to have a very positive impact on civil society. (Varheim, 2007). This ‘impact’ is longitudinal, or ongoing, in that library... Read More about Using a longitudinal focus group methodology to measure the value and impact of public libraries.

A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution (2019)
Journal Article
Segredo, E., Lalla-Ruiz, E., Hart, E., & Voß, S. (2020). A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution. Computers and Operations Research, 117, Article 104871. https://doi.org/10.1016/j.cor.2019.104871

The success of search-based optimisation algorithms depends on appropriately balancing exploration and exploitation mechanisms during the course of the search. We introduce a mechanism that can be used with Differential Evolution (de) algorithms to a... Read More about A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution.

PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing (2019)
Journal Article
Zhu, R., Yu, T., Tan, Z., Du, W., Zhao, L., Li, J., & Xia, X. (2020). PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing. IEEE Access, 8, 1475-1485. https://doi.org/10.1109/ACCESS.2019.2962066

Outlier detection over sliding window is a fundamental problem in the domain of streaming data management, which has been studied over 10 years. The key of supporting outlier detection is to construct a neighbour-list for each object. It is used for... Read More about PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing.

Enhancing User Privacy in IoT: Integration of GDPR and Blockchain (2019)
Presentation / Conference Contribution
Barati, M., & Rana, O. (2019, December). Enhancing User Privacy in IoT: Integration of GDPR and Blockchain. Presented at First International Conference, BlockSys 2019, Guangzhou, China

The development of Internet of Things (IoT) industries has raised significant questions in terms of accountability of smart devices and user privacy. The advent of European General Data Protection Regulation (GDPR) in such industries enabled users to... Read More about Enhancing User Privacy in IoT: Integration of GDPR and Blockchain.

Putting design into practice: An investigation of TPACK scores of lecturers in a networked institution (2019)
Journal Article
Fabian, K., Clayes, E., & Kelly, L. (2019). Putting design into practice: An investigation of TPACK scores of lecturers in a networked institution. Research in Learning Technology, 27, https://doi.org/10.25304/rlt.v27.2296

Demand for blended and online learning environments is increasing and concurrent with this is the changing competencies required for teachers to be able to facilitate learning in both face-to-face and virtual space. The Technological Pedagogical Cont... Read More about Putting design into practice: An investigation of TPACK scores of lecturers in a networked institution.

A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia (2019)
Journal Article
Ieracitano, C., Mammone, N., Hussain, A., & Morabito, F. C. (2020). A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia. Neural Networks, 123, 176-190. https://doi.org/10.1016/j.neunet.2019.12.006

Electroencephalographic (EEG) recordings generate an electrical map of the human brain that are useful for clinical inspection of patients and in biomedical smart Internet-of-Things (IoT) and Brain-Computer Interface (BCI) applications. From a signal... Read More about A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.

Build, manage and evaluate: information practices and personal reputations on social media platforms (2019)
Presentation / Conference Contribution
Lawson, A., Ryan, F. V., Cruickshank, P., & Hall, H. (2019, June). Build, manage and evaluate: information practices and personal reputations on social media platforms. Presented at Tenth International Conference on Conceptions of Library and Information Science, Ljubljana, Slovenia

Introduction. The broad theme of this paper is the use of information to build, manage and evaluate personal reputations. It reports the findings of a study that considered the extent to which social media users replicate in online environments the... Read More about Build, manage and evaluate: information practices and personal reputations on social media platforms.

PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model (2019)
Journal Article
Chen, K., Wang, G., Wu, L., Chen, J., Yuan, S., Liu, Q., & Liu, X. (2019). PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model. International Journal of Environmental Research and Public Health, 16(24), Article 5102. https://doi.org/10.3390/ijerph16245102

At present particulate matter (PM₂.₅) pollution represents a serious threat to the public health and the national economic system in China. This paper optimizes the whitening coefficient in a grey Markov model by a genetic algorithm, predicts the con... Read More about PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model.

Guest Editorial Special Issue on Blockchain-Based Secure and Trusted Computing for IoT (2019)
Journal Article
Li, S., Yuan, Y., Zhang, J. J., Buchanan, B., Liu, E., & Ramadoss, R. (2019). Guest Editorial Special Issue on Blockchain-Based Secure and Trusted Computing for IoT. IEEE Transactions on Computational Social Systems, 6(6), 1369-1372. https://doi.org/10.1109/tcss.2019.2954939

The Internet of Things (IoT) is expected to connect a massive number of smart devices to the Internet. The existing centralized architecture for handling the huge volume of data created in the IoT is facing many research challenges, including securit... Read More about Guest Editorial Special Issue on Blockchain-Based Secure and Trusted Computing for IoT.

A Multi-attributes-based Trust Model of Internet of Vehicle (2019)
Presentation / Conference Contribution
Ou, W., Luo, E., Tan, Z., Xiang, L., Yi, Q., & Tian, C. (2019). A Multi-attributes-based Trust Model of Internet of Vehicle. In Network and System Security (706-713). https://doi.org/10.1007/978-3-030-36938-5_45

Internet of Vehicle (IoV) is an open network and it changes in constant, where there are large number of entities. Effective way to keep security of data in IoV is to establish a trustworthy mechanism. Through transmission and dissemination of trust,... Read More about A Multi-attributes-based Trust Model of Internet of Vehicle.

Opencache: Distributed sdn/nfv based in-network caching as a service (2019)
Presentation / Conference Contribution
Alalmaei, S., Broadbent, M., Race, N., & Chelloug, S. (2019, December). Opencache: Distributed sdn/nfv based in-network caching as a service. Presented at ICC: International Conference on Computing, Riyadh, Saudi Arabia

In-network content caching allows content to be located towards the edge of the network, closer to users. This approach addresses the challenge of exponentially increasing video traffic. We consider OpenCache: an open-source, highly configurable, eff... Read More about Opencache: Distributed sdn/nfv based in-network caching as a service.

Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies (2019)
Presentation / Conference Contribution
Sun, M., Michael Kamoto, K., Liu, Q., Liu, X., & Qi, L. (2019). Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies.

The Internet of Things (IoT) has already begun to drastically alter the way people operate in various industries across the world, as well as how we interact with our environment. There is a lot of progress being made toward... Read More about Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies.