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All Outputs (42)

Digital Exclusion Cyber Security - Improving The Online Safety Of Digitally Excluded Users (2022)
Report
Koikkalainen, H., Lapok, P., Johnston, L., & Lawson, A. (2022). Digital Exclusion Cyber Security - Improving The Online Safety Of Digitally Excluded Users. University of St Andrews/ Scottish Government Cyber Resilliance Unit

This exploratory study was designed to explore cyber security issues experienced by vulnerable adults who do not regularly have direct access to digital devices and the internet, with a special focus on people who are financially insecure and experie... Read More about Digital Exclusion Cyber Security - Improving The Online Safety Of Digitally Excluded Users.

Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning (2020)
Presentation / Conference Contribution
Ilyas, M., Ahmad, J., Lawson, A., Khan, J. S., Tahir, A., Adeel, A., Larijani, H., Kerrouche, A., Shaikh, M. G., Buchanan, W., & Hussain, A. (2019, July). Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning. Presented at 10th International Conference, BICS 2019, Guangzhou, China

Prospective studies using longitudinal patient data can be used to help to predict responsiveness to Growth Hormone (GH) therapy and assess any suspected risks. In this paper, a novel Clinical Decision Support System (CDSS) is developed to predict gr... Read More about Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning.

Machine Learning for Health and Social Care Demographics in Scotland (2019)
Presentation / Conference Contribution
Buchanan, W. J., Smales, A., Lawson, A., & Chute, C. (2019, November). Machine Learning for Health and Social Care Demographics in Scotland. Paper presented at HEALTHINFO 2019, Valencia, Spain

This paper outlines an extensive study of applying machine learning to the analysis of publicly available health and social care data within Scotland, with a focus on learning the most significant variables involved in key health care outcome factors... Read More about Machine Learning for Health and Social Care Demographics in Scotland.

Evolving planar mechanisms for the conceptual stage of mechanical design (2019)
Presentation / Conference Contribution
Lapok, P., Lawson, A., & Paechter, B. (2019, July). Evolving planar mechanisms for the conceptual stage of mechanical design. Presented at GECCO '19, Prague, Czech Republic

This study presents a method to evolve planar mechanism prototypes using an evolutionary computing approach. Ultimately, the idea is to provide drafts for designers at the conceptual design stage of mechanism design which meet their design brief. The... Read More about Evolving planar mechanisms for the conceptual stage of mechanical design.

Pathogen detection in bathing waters using microfluidic technology, image processing and deep learning (2019)
Presentation / Conference Contribution
Kerrouche, A., Muhammad, I., Rueckert, S., & Lawson, A. (2019, June). Pathogen detection in bathing waters using microfluidic technology, image processing and deep learning. Poster presented at Research Conference, Edinburgh Napier University

Monitoring the quality of recreational waters such as beaches and rivers is becoming a global concern to protect human health (e.g. the EU Bathing Water Directive (BWD) in Europe). In Scotland, water quality at 86 designated bathing water sites is as... Read More about Pathogen detection in bathing waters using microfluidic technology, image processing and deep learning.

Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns (2018)
Presentation / Conference Contribution
Mcneill, M., Lawson, A., Raeside, R., & Peisl, T. (2018, July). Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns. Presented at 32nd International BCS Human Computer Interaction Conference (HCI 2018), Belfast

Creating a good crowdfunding campaign is difficult. By understanding why people contribute to crowdfunding campaigns we can make campaigns better and raise more money. Crowdfunding websites allow entrepreneurs to make a pitch, which is watched by pot... Read More about Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns.

2-Dimensional Outline Shape Representation for Generative Design with Evolutionary Algorithms (2018)
Presentation / Conference Contribution
Lapok, P., Lawson, A., & Paechter, B. (2018, September). 2-Dimensional Outline Shape Representation for Generative Design with Evolutionary Algorithms. Presented at EngOpt 2018 International Conference on Engineering Optimization, Lisboa, Portugal

In this paper, we investigate the ability of genetic representation methods to describe two-dimensional outline shapes, in order to use them in a generative design system. A specific area of mechanical design focuses on planar mechanisms. These are a... Read More about 2-Dimensional Outline Shape Representation for Generative Design with Evolutionary Algorithms.

Blurred reputations: Managing professional and private information online (2018)
Journal Article
Ryan, F. V., Cruickshank, P., Hall, H., & Lawson, A. (2020). Blurred reputations: Managing professional and private information online. Journal of Librarianship and Information Science, 52(1), 16-26. https://doi.org/10.1177/0961000618769977

Results are reported from a study that investigated patterns of information behaviour and use as related to personal reputation building and management in online environments. An everyday life information seeking (ELIS) perspective was adopted. Data... Read More about Blurred reputations: Managing professional and private information online.

Building identity in online environments: an Information Science perspective (2017)
Presentation / Conference Contribution
Ryan, F. V. C., Cruickshank, P., Hall, H., & Lawson, A. (2017, October). Building identity in online environments: an Information Science perspective. Presented at Annual Meeting of The Association for Information Science & Technology, Washington D.C., US

The research presented in this poster is concerned with the ways in which people use information to build identities for themselves online with reference to the themes of personal reputation management. To date these two themes have been under-explor... Read More about Building identity in online environments: an Information Science perspective.

Evaluation of a genetic representation for outline shapes (2017)
Presentation / Conference Contribution
Lapok, P., Lawson, A., & Paechter, B. (2017, July). Evaluation of a genetic representation for outline shapes. Presented at Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '17

This work in progress focuses on the evaluation of a genetic representation for outline shapes for planar mechanical levers which addresses the first stage of the complex real-world problem of modelling and evolving planar mechanical lever systems. T... Read More about Evaluation of a genetic representation for outline shapes.

Personal online reputation: the development of an approach to investigate how personal reputation is evaluated and managed in online environments. (2016)
Presentation / Conference Contribution
Ryan, F., Cruickshank, P., Hall, H., & Lawson, A. (2016, January). Personal online reputation: the development of an approach to investigate how personal reputation is evaluated and managed in online environments. Presented at IDIMC 2016 - Exploring our digital shadow: from data to intelligence

The main theme of the paper is the development of a framework to investigate how online information is used in the creation, building, and evaluation of personal reputations. (Here the term “personal reputation” refers to the reputation of private in... Read More about Personal online reputation: the development of an approach to investigate how personal reputation is evaluated and managed in online environments..

Managing and evaluating personal reputations on the basis of information shared on social media: a Generation X perspective. (2016)
Presentation / Conference Contribution
Ryan, F., Cruickshank, P., Hall, H., & Lawson, A. (2016, September). Managing and evaluating personal reputations on the basis of information shared on social media: a Generation X perspective. Presented at ISIC: the information behaviour conference, Zadar, Croatia

Introduction. The means by which individuals evaluate the personal reputations of others, and manage their own personal reputations, as determined by information shared on social media platforms, is investigated from an information science perspectiv... Read More about Managing and evaluating personal reputations on the basis of information shared on social media: a Generation X perspective..

Assessing the available and accessible evidence: how personal reputations are determined and managed online. (2015)
Presentation / Conference Contribution
Ryan, F., Cruickshank, P., Hall, H., & Lawson, A. (2015, June). Assessing the available and accessible evidence: how personal reputations are determined and managed online. Paper presented at Information: interactions and impact (i3) 2015

This paper is concerned with how online information contributes to the determination of personal reputations. The term “personal reputation” in this context means the reputation of private individuals, rather than corporate identity and brand. The pa... Read More about Assessing the available and accessible evidence: how personal reputations are determined and managed online..

Adaptive learning in computing for non-native speakers. (2014)
Presentation / Conference Contribution
Rimbaud, Y., McEwan, T., Lawson, A., & Cairncross, S. (2014, October). Adaptive learning in computing for non-native speakers

A significant proportion of e-Learning resources for engineering and computing education appear to be exclusively in English, requiring many learners to adapt themselves to learning within an English language context. Adaptive learning has a role to... Read More about Adaptive learning in computing for non-native speakers..

Guiding learners to near native fluency in English through an adaptive programme of activities which includes phoneme and prosody analysis. (2014)
Presentation / Conference Contribution
Lawson, A., Attridge, A., & Lapok, P. (2014, September). Guiding learners to near native fluency in English through an adaptive programme of activities which includes phoneme and prosody analysis. Paper presented at Eurocall 2014

This project aims to address pronunciation problems of English language learners. Current pronunciation software tools mainly address phonemic difficulties and give little or no analytic feedback. Achievement of near native fluency however involves t... Read More about Guiding learners to near native fluency in English through an adaptive programme of activities which includes phoneme and prosody analysis..

Embedding programming skills to support the student journey in networking, security and digital forensics. (2014)
Presentation / Conference Contribution
Lawson, A., & Macfarlane, R. (2014, April). Embedding programming skills to support the student journey in networking, security and digital forensics. Paper presented at HEA STEM Annual Learning and Teaching Conference 2014: Enhancing the STEM Student Journey

The development of programming skills by Networking graduates, and Security and Digital Forensics graduates is highly sought after by employers, both in industry, and in academia for staffing research and knowledge exchange projects. Placements offer... Read More about Embedding programming skills to support the student journey in networking, security and digital forensics..

Evaluation of binary decision diagrams for redundancy, shadowing, generalisation and correlation in an Information sharing model. (2013)
Preprint / Working Paper
Uthmani, O., Buchanan, W. J., Fan, L., & Lawson, A. Evaluation of binary decision diagrams for redundancy, shadowing, generalisation and correlation in an Information sharing model

This paper defines a structured methodology which is based on the foundational work of Al-Shaer et al. in [1] and that of Hamed and Al-Shaer in [2]. It defines a methodology for the declaration of policy field elements, through to the syntax, ontolog... Read More about Evaluation of binary decision diagrams for redundancy, shadowing, generalisation and correlation in an Information sharing model..

A novel Information sharing model using binary decision diagrams for redundancy, shadowing, generalisation and correlation. (2013)
Preprint / Working Paper
Uthmani, O., Buchanan, W. J., Fan, L., & Lawson, A. A novel Information sharing model using binary decision diagrams for redundancy, shadowing, generalisation and correlation

This paper outlines a novel information sharing method using Binary Decision Diagrams (BBDs). It is inspired by the work of Al-Shaer and Hamed, who applied BDDs into the modelling of network firewalls. This is applied into an information sharing poli... Read More about A novel Information sharing model using binary decision diagrams for redundancy, shadowing, generalisation and correlation..