Outputs (4095)

SklCoin: Toward a Scalable Proof-of-Stake and Collective Signature Based Consensus Protocol for Strong Consistency in Blockchain (2020)
Presentation / Conference Contribution
Jaroucheh, Z., Ghaleb, B., & Buchanan, W. J. (2020, March). SklCoin: Toward a Scalable Proof-of-Stake and Collective Signature Based Consensus Protocol for Strong Consistency in Blockchain. Presented at 2020 IEEE International Conference on Software Architecture Companion (ICSA-C), Salvador, Brazil

The proof-of-work consensus protocol suffers from two main limitations: waste of energy and offering only probabilistic guarantees about the status of the blockchain. This paper introduces SklCoin, a new Byzantine consensus protocol and its correspon... Read More about SklCoin: Toward a Scalable Proof-of-Stake and Collective Signature Based Consensus Protocol for Strong Consistency in Blockchain.

Multi-label Classifier to Deal with Misclassification in Non-functional Requirements (2020)
Presentation / Conference Contribution
Sabir, M., Chrysoulas, C., & Banissi, E. (2020, April). Multi-label Classifier to Deal with Misclassification in Non-functional Requirements. Presented at WorldCist 2020: 8th World Conference on Information Systems and Technologies, Budva, Montenegro

Automatic classification of software requirements is an active research area; it can alleviate the tedious task of manual labeling and improves transparency in the requirements engineering process. Several attempts have been made towards the identifi... Read More about Multi-label Classifier to Deal with Misclassification in Non-functional Requirements.

A Privacy Preserving Distributed Ledger Framework for Global Human Resource Record Management: The Blockchain Aspect (2020)
Journal Article
Kim, T.-H., Kumar, G., Saha, R., Rai, M. K., Buchanan, W. J., Thomas, R., & Alazab, M. (2020). A Privacy Preserving Distributed Ledger Framework for Global Human Resource Record Management: The Blockchain Aspect. IEEE Access, 8, 96455-96467. https://doi.org/10.1109/access.2020.2995481

Blockchain is a technology used with the series of users in peer-to-peer transactions to utilize the usability properties of the immutable data records. The distributed nature of this technology has given the wide acceptance to its range of applicati... Read More about A Privacy Preserving Distributed Ledger Framework for Global Human Resource Record Management: The Blockchain Aspect.

Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM) (2020)
Presentation / Conference Contribution
Seuwou, P., Chrysoulas, C., Banissi, E., & Ubakanma, G. (2020, April). Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM). Presented at WorldCIST: World Conference on Information Systems and Technologies, Budva, Montenegro

The work presented in the paper aims at exploring information technology acceptance in the context of Autonomous Vehicles (AV) with the objectives of identifying and testing the constructs that will influence future AVs acceptance. Most models of tec... Read More about Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM).

A Novel Attack Detection Scheme for the Industrial Internet of Things Using a Lightweight Random Neural Network (2020)
Journal Article
Latif, S., Zou, Z., Idrees, Z., & Ahmad, J. (2020). A Novel Attack Detection Scheme for the Industrial Internet of Things Using a Lightweight Random Neural Network. IEEE Access, 8, 89337-89350. https://doi.org/10.1109/access.2020.2994079

The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial applications, databases, services, and people at work. The IIoT is improving our lives in several ways including smarter cities, agriculture, and e-healthcare... Read More about A Novel Attack Detection Scheme for the Industrial Internet of Things Using a Lightweight Random Neural Network.

How a particular view of language enables neoliberalism in student support – and how to resist it. (2020)
Presentation / Conference Contribution
Richards, K., & Pilcher, N. (2020, May). How a particular view of language enables neoliberalism in student support – and how to resist it. Paper presented at DPR20 Discourse, Power and Resistance the values of education, University of Coimbra, Coimbra, Portugal

In this presentation, extending previous research, the authors argue that a particular view of language which sees it as a concrete abstract objectivist entity separable from any context for analysis and teaching underpins neoliberal approaches to su... Read More about How a particular view of language enables neoliberalism in student support – and how to resist it..

An Exploration of the Professional and Leader Identity of IT Professionals Transitioning to a Permanent Hybrid Role: A Longitudinal Investigation (2020)
Journal Article
Smith, S., Garavan, T., Munro, A., Ramsay, E., Smith, C., & Varey, A. (2021). An Exploration of the Professional and Leader Identity of IT Professionals Transitioning to a Permanent Hybrid Role: A Longitudinal Investigation. Information Technology and People, 34(2), 789-811. https://doi.org/10.1108/ITP-02-2019-0084

Purpose – The purpose of this study is to explore the role of professional and leader identity and the maintenance of identity, through identity work as IT professionals transitioned to a permanent hybrid role. This study therefore contributes to the... Read More about An Exploration of the Professional and Leader Identity of IT Professionals Transitioning to a Permanent Hybrid Role: A Longitudinal Investigation.

Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes (2020)
Journal Article
Zhong, X., Cambria, E., & Hussain, A. (2020). Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes. Cognitive Computation, 12, 844-862. https://doi.org/10.1007/s12559-020-09714-8

Time expressions and named entities play important roles in data mining, information retrieval, and natural language processing. However, the conventional position-based tagging schemes (e.g., the BIO and BILOU schemes) that previous research used to... Read More about Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes.

Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning (2020)
Journal Article
Asad, S. M., Ahmad, J., Hussain, S., Zoha, A., Abbasi, Q. H., & Imran, M. A. (2020). Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning. Sensors, 20(9), Article 2629. https://doi.org/10.3390/s20092629

Information and Communication Technology (ICT) enabled optimisation of train’s passenger traffic flows is a key consideration of transportation under Smart City planning (SCP). Traditional mobility prediction based optimisation and encryption approac... Read More about Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning.

Diabetes research: at Edinburgh Napier University's School of Computing (2020)
Digital Artefact
Ryan, B., & Webster, G. (2020). Diabetes research: at Edinburgh Napier University's School of Computing. [Blog]

This 'Diabetes Research' blog is initially about the seed-project 'Information Avoidance and diabetes'. This project is an initial investigation of how and why people with diabetes might not seek or engage with information about their diabetes. More... Read More about Diabetes research: at Edinburgh Napier University's School of Computing.