All Outputs (2072)

Earn as you learn: Widening participation through apprenticeships as debt-free degrees (2021)
Presentation / Conference Contribution
Meharg, D., Smith, S., Taylor-Smith, E., & Khristin, F. (2021, March). Earn as you learn: Widening participation through apprenticeships as debt-free degrees. Presented at Advance HE Equality, Diversity and Inclusion Conference 2021, Online

Apprenticeship Degrees provide opportunities to study for a degree without incurring debt. Collaborations between employers and HEIs enable new or established employees to earn while they learn, with their fees paid. This facilitates people to study... Read More about Earn as you learn: Widening participation through apprenticeships as debt-free degrees.

Associate Student Project: Facilitating computing students’ transition to higher education (2021)
Presentation / Conference Contribution
Taylor-Smith, E., Meharg, D., Fabian, K., & Varey, A. (2021, March). Associate Student Project: Facilitating computing students’ transition to higher education. Presented at Equality, Diversity and Inclusion Conference 2021, Online

The Associate Student (ASP) project supports Computing students who study two years at a Further Education college (achieving an HND) then transfer directly into third year, studying for two more years to complete an honours degree (BSc or BEng). Stu... Read More about Associate Student Project: Facilitating computing students’ transition to higher education.

Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis (2021)
Presentation / Conference Contribution
Zbyszyński, M., Di Donato, B., Visi, F., & Tanaka, A. (2019, October). Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis. Presented at 14th International Symposium, CMMR 2019, Marseille, France

This chapter explores three systems for mapping embodied gesture, acquired with electromyography and motion sensing, to sound synthesis. A pilot study using granular synthesis is presented, followed by studies employing corpus-based concatenative syn... Read More about Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis.

(F)unctional Sifting: A Privacy-Preserving Reputation System Through Multi-Input Functional Encryption (2021)
Presentation / Conference Contribution
Bakas, A., Michalas, A., & Ullah, A. (2020, November). (F)unctional Sifting: A Privacy-Preserving Reputation System Through Multi-Input Functional Encryption. Presented at Secure IT Systems 25th Nordic Conference, NordSec 2020, Online

Functional Encryption (FE) allows users who hold a specific secret key (known as the functional key) to learn a specific function of encrypted data whilst learning nothing about the content of the underlying data. Considering this functionality and t... Read More about (F)unctional Sifting: A Privacy-Preserving Reputation System Through Multi-Input Functional Encryption.

Digi-Mapping: Unpacking Meaning of Place Through Creative Technology (2021)
Presentation / Conference Contribution
Grandison, T., Flint, T., & Jamieson, K. (2021, February). Digi-Mapping: Unpacking Meaning of Place Through Creative Technology. Paper presented at Cultural Heritage and Social Impact: Digital Technologies for Inclusion and Participation, Online

Examining heritage can provide opportunities for marginalised communities to consider and valorise both their collective past and the relationality of more personal and mundane experiences (Rose, 2016). This paper argues that design methods offer her... Read More about Digi-Mapping: Unpacking Meaning of Place Through Creative Technology.

Effectiveness of Vicinity-based Content Finding in Mobile NDN Environments (2021)
Presentation / Conference Contribution
Suwannasa, A., Broadbent, M., & Mauthe, A. (2021, January). Effectiveness of Vicinity-based Content Finding in Mobile NDN Environments. Presented at 2021 International Conference on Information Networking (ICOIN), Jeju Island, South Korea

In Named Data Networking (NDN), consumer mobility is supported by letting a consumer re-transmit an Interest packet to re-request a lost content object through a new NDN Access Router (NAR). The object is often replicated at a previous NAR, located c... Read More about Effectiveness of Vicinity-based Content Finding in Mobile NDN Environments.

Llama-Low Latency Adaptive Media Algorithm (2021)
Presentation / Conference Contribution
Lyko, T., Broadbent, M., Race, N., Nilsson, M., Farrow, P., & Appleby, S. (2021). Llama-Low Latency Adaptive Media Algorithm. In 2020 IEEE International Symposium on Multimedia (ISM) (113-121). https://doi.org/10.1109/ISM.2020.00027

In the recent years, HTTP Adaptive Bit Rate (ABR) streaming including Dynamic Adaptive Streaming over HTTP (DASH) has become the most popular technology for video streaming over the Internet. The client device requests segments of content using HTTP,... Read More about Llama-Low Latency Adaptive Media Algorithm.

Considering Generic Study Skills and the roles of Academic Advisers (2021)
Presentation / Conference Contribution
Richards, K., & Pilcher, N. (2021, January). Considering Generic Study Skills and the roles of Academic Advisers. Presented at ScotHELD Winter 2021 Conference, Online

In this short session we draw on work we have done over a number of years but primarily on a recent paper published in Teaching in Higher Education entitled ‘Study Skills: neoliberalism’s perfect Tinkerbell.’ We outline our own roles in the UK and Au... Read More about Considering Generic Study Skills and the roles of Academic Advisers.

Understanding Personal Online Risk To Individuals Via Ontology Development (2020)
Presentation / Conference Contribution
Haynes, D. (2020, July). Understanding Personal Online Risk To Individuals Via Ontology Development. Presented at International Societey for Knowledge Organziation (ISKO) 2020, Aalborg, Denmark

The concept of risk is widely misunderstood because of the different contexts in which it is used. This paper describes the development of an ontology of risk as a way of better understanding the nature of the potential harms individuals are exposed... Read More about Understanding Personal Online Risk To Individuals Via Ontology Development.

PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism (2020)
Presentation / Conference Contribution
Abubakar, M. A., Jaroucheh, Z., Al-Dubai, A., & Buchanan, B. (2020, November). PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism. Presented at 4th International Conference on Vision, Image and Signal Processing, Newcastle, UK

The original consensus algorithm - Proof of Work (PoW) has been widely utilized in the blockchain systems and is been adopted by many cryptocurrencies, such as Bitcoin and Ethereum, among many others. Nevertheless, the concept has received criticisms... Read More about PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism.

Investigating the ‘why’ rather than the ‘how’: current research priorities on the influence of culture on new-comer populations’ use of public libraries (2020)
Presentation / Conference Contribution
Salzano, R., Hall, H., & Webster, G. (2020, September). Investigating the ‘why’ rather than the ‘how’: current research priorities on the influence of culture on new-comer populations’ use of public libraries. Presented at ISIC (Information Seeking In Context) 2020, Pretoria, South Africa

Introduction - Library researchers are often concerned with the factors that affect individual use of public library resources. To date, culture as a determinant of public library use has not been fully explored across all public library populations.... Read More about Investigating the ‘why’ rather than the ‘how’: current research priorities on the influence of culture on new-comer populations’ use of public libraries.

Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training (2020)
Presentation / Conference Contribution
Panagiaris, N., Hart, E., & Gkatzia, D. (2020, December). Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training. Presented at International Conference on Natural Language Generation (INLG 2020), Dublin, Ireland

In this paper we consider the problem of optimizing neural Referring Expression Generation (REG) models with sequence level objectives. Recently reinforcement learning (RL) techniques have been adopted to train deep end-to-end systems to directly opt... Read More about Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training.

Second Workshop on Natural Language Generation for Human-Robot Interaction (2020)
Presentation / Conference Contribution
Buschmeier, H., Ellen Foster, M., & Gkatzia, D. (2020, March). Second Workshop on Natural Language Generation for Human-Robot Interaction. Presented at HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, Cambridge

This workshop is the second in a series bringing together the Natural Language Generation and Human-Robot Interaction communities to discuss topics of mutual interest with the goal of developing an HRI-inspired NLG shared task. The workshop website i... Read More about Second Workshop on Natural Language Generation for Human-Robot Interaction.

Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach (2020)
Presentation / Conference Contribution
Christou, O., Pitropakis, N., Papadopoulos, P., Mckeown, S., & Buchanan, W. J. (2020, February). Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach. Presented at ICISSP 2020, Valletta, Malta

Phishing is considered to be one of the most prevalent cyber-attacks because of its immense flexibility and alarmingly high success rate. Even with adequate training and high situational awareness, it can still be hard for users to continually be awa... Read More about Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach.

Hardware Design for Autonomous Robot Evolution (2020)
Presentation / Conference Contribution
Hale, M. F., Angus, M., Buchanan, E., Li, W., Woolley, R., Le Goff, L. K., De Carlo, M., Timmis, J., Winfield, A. F., Hart, E., Eiben, A. E., & Tyrrell, A. M. (2020, December). Hardware Design for Autonomous Robot Evolution. Presented at International Conference on Evolvable Hardware, Canberra Australia

The long term goal of the Autonomous Robot Evolution (ARE) project is to create populations of physical robots, in which both the controllers and body plans are evolved. The transition for evolutionary designs from purely simulation environments into... Read More about Hardware Design for Autonomous Robot Evolution.

Assisting Information Practice: From Information Intermediary To Social Proxy (2020)
Presentation / Conference Contribution
Cruickshank, P., Webster, G., & Ryan, F. (2020, September). Assisting Information Practice: From Information Intermediary To Social Proxy. Presented at ISIC 2020 The Information Behaviour conference, Pretoria, South Africa

The increasing dependence on social media and other online systems as part of everyday life has grown considerably over the years. At the same time, the complexity and security of online systems has also been increasing, making it more challenging fo... Read More about Assisting Information Practice: From Information Intermediary To Social Proxy.

Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation (2020)
Presentation / Conference Contribution
Hoffmann, B., Urquhart, N., Chalmers, K., & Guckert, M. (2020, February). Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation. Presented at Modelling 2020, Vienna

Multi-agent systems may be considered appropriate tools for simulating complex systems such as those based around traffic and transportation networks. Modelling traffic participants as agents can reveal relevant patterns of traffic flow. Upsurging tr... Read More about Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation.

Privacy-preserving Surveillance Methods using Homomorphic Encryption (2020)
Presentation / Conference Contribution
Bowditch, W., Abramson, W., Buchanan, W. J., Pitropakis, N., & Hall, A. J. (2020, February). Privacy-preserving Surveillance Methods using Homomorphic Encryption. Presented at 6th International Conference on Information Security Systems and Privacy (ICISSP), Valletta, Malta

Data analysis and machine learning methods often involve the processing of cleartext data, and where this could breach the rights to privacy. Increasingly, we must use encryption to protect all states of the data: in-transit, at-rest, and in-memory.... Read More about Privacy-preserving Surveillance Methods using Homomorphic Encryption.

Commonsense-enhanced Natural Language Generation for Human-Robot Interaction (2020)
Presentation / Conference Contribution
Gkatzia, D. (2020, December). Commonsense-enhanced Natural Language Generation for Human-Robot Interaction. Presented at 2nd Workshop on Natural Language Generation for Human-Robot Interaction (HRI 2020), Online

Commonsense is vital for human communication, as it allows us to make inferences without explicitly mentioning the context. Equipping robots with commonsense knowledge would lead to better communication between humans and robots and will allow robots... Read More about Commonsense-enhanced Natural Language Generation for Human-Robot Interaction.

Information Literacy as a joint competence shaped by everyday life and workplace roles amongst Scottish community councillors (2020)
Presentation / Conference Contribution
Cruickshank, P., Hall, H., & Ryan, B. (2020, September). Information Literacy as a joint competence shaped by everyday life and workplace roles amongst Scottish community councillors. Presented at ISIC 2020 The Information Behaviour Conference, Pretoria University, Tshwane, Republic of South Africa

*Introduction: This paper addresses the information practices of hyperlocal democratic representatives, and their acquisition and application of information literacy skills.

*Method: 1034 Scottish community councillors completed an online questio... Read More about Information Literacy as a joint competence shaped by everyday life and workplace roles amongst Scottish community councillors.