Andrew T Wilson

Dr. Andrew T Wilson

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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 December 2019 in Journal of Chemical Education
Verified
Journal Article
Closed access
RSRou-Jia Sung
Rou-Jia Sung
AWAndrew T Wilson
Andrew T Wilson
SLStanley M. Lo
Stanley M. Lo
LCLogan M. Crowl
Logan M. Crowl
JNJoseph Nardi
Joseph Nardi
JLJane M. Liu
Jane M. Liu

16 November 2015 in Journal on Computing and Cultural Heritage
Verified
Journal Article
Open access
HMHelen Miles
Helen Miles
AWAndrew T Wilson
Andrew T Wilson
FLFrédéric Labrosse
Frédéric Labrosse
BTBernard Tiddeman
Bernard Tiddeman
SGSeren Griffiths
Seren Griffiths
JRJonathan C. Roberts
Jonathan C. Roberts
By collecting images of heritage assets from members of the public and processing them to create 3D-reconstructed models, the HeritageTogether project has accomplished the digital recording of nearly 80 sites across Wales, UK. A large amount of data has been collected and produced in the form of photographs, 3D models, maps, condition reports, and more. Here we discuss some of the different methods used to realize the potential of this data in different formats and for different purposes. The data are explored in both virtual and tangible settings, and—with the use of a touch table—a combination of both. We examine some alternative representations of this community-produced heritage data for educational, research, and public engagement applications.

5 October 2015 in Statistical Analysis and Data Mining: An ASA Data Science Journal
Verified
Journal Article
Open access
PDF file
MRMark D. Rintoul
Mark D. Rintoul
AWAndrew T Wilson
Andrew T Wilson
This study aimed to organize a body of trajectories in order to identify, search for and classify both common and uncommon behaviors among objects such as aircraft and ships. Existing comparison functions such as the Fréchet distance are computationally expensive and yield counterintuitive results in some cases. We propose an approach using feature vectors whose components represent succinctly the salient information in trajectories. These features incorporate basic information such as the total distance traveled and the distance between start/stop points as well as geometric features related to the properties of the convex hull, trajectory curvature and general distance geometry. Additionally, these features can generally be mapped easily to behaviors of interest to humans who are searching large databases. Most of these geometric features are invariant under rigid transformation. We demonstrate the use of different subsets of these features to identify trajectories similar to an exemplar, cluster a database of several hundred thousand trajectories and identify outliers.

1 December 2022 in Forum of Mathematics, Sigma
Verified
Journal Article
Open access
BRBrendon Rhoades
Brendon Rhoades
AWAndrew T Wilson
Andrew T Wilson
The superspace ring $\Omega _n$ is a rank n polynomial ring tensored with a rank n exterior algebra. Using an extension of the Vandermonde determinant to $\Omega _n$ , the authors previously defined a family of doubly graded quotients ${\mathbb {W}}_{n,k}$ of $\Omega _n$ , which carry an action of the symmetric group ${\mathfrak {S}}_n$ and satisfy a bigraded version of Poincaré Duality. In this paper, we examine the duality modules ${\mathbb {W}}_{n,k}$ in greater detail. We describe a monomial basis of ${\mathbb {W}}_{n,k}$ and give combinatorial formulas for its bigraded Hilbert and Frobenius series. These formulas involve new combinatorial objects called ordered set superpartitions. These are ordered set partitions $(B_1 \mid \cdots \mid B_k)$ of $\{1,\dots ,n\}$ in which the nonminimal elements of any block $B_i$ may be barred or unbarred.

1 October 2014
Verified
Conference Paper
Closed access
HMHelen Miles
Helen Miles
AWAndrew T Wilson
Andrew T Wilson
FLFrederic Labrosse
Frederic Labrosse
BTBernard Tiddeman
Bernard Tiddeman
SGSeren Griffiths
Seren Griffiths
JRJonathan C. Roberts
Jonathan C. Roberts
With the rise of digital content and web-based technologies, archaeologists and heritage organisations are increasingly striving to produce digital records of archaeology and heritage sites. The large numbers and geographical spread of these sites means that it would be too time-consuming for any one team to survey them. To meet this challenge, the Heritage Together project has developed a web platform through which members of the public can upload their own photographs of heritage assets to be processed into 3D models using an automated photogrammetry work flow. The web platform is part of a larger project which aims to capture, create and archive digital heritage assets in conjunction with local communities in Wales, UK, with a focus on megalithic monuments. Heritage Together is a digital community and community-built archive of heritage data, developed to inspire local communities to learn more about their heritage and to help to preserve it.

12 February 2014 in Journal of Community Archaeology & Heritage
Verified
Journal Article
Closed access
RKRaimund Karl
Raimund Karl
JRJonathan Roberts
Jonathan Roberts
AWAndrew T Wilson
Andrew T Wilson
KMKatharina Möller
Katharina Möller
HMHelen Miles
Helen Miles
ETEmily La Trobe-Bateman
Emily La Trobe-Bateman
Karl, R., Roberts, J., Wilson, A., M?ller, K., Miles, H. C., Edwards, B., Tiddeman, B., Labrosse, F., Trobe-Bateman, E. L. (2014). Picture This! Community-Led Production of Alternative Views of the Heritage of Gwynedd. Journal of Community Archaeology and Heritage, 1 (1), 23-36 Embargoed until 29/02/2016The digital camera has become ubiquitous. Every mobile phone has one built in, almost everyone has a mobile phone, and people use them constantly for all kinds of things, including taking pictures. In a new collaborative project, funded by the Arts and Humanities Research Council (AHRC), Bangor, Aberystwyth and Manchester Metropolitan Universities have teamed up with Gwynedd Archaeological Trust to develop tools to allow communities to picture their heritage and upload the images to an automated photogrammetry server to create metrical 3D models of the sites and objects they are recording. The data created will then feed into the local Historic Environment Record, providing a valuable tool for monitoring changes to heritage sites, while providing communities with added information and alternative views of their heritage. This paper is not intended to provide a formal research design or a fully developed prototype. Rather, it is intended to outline an experimental and collaborative approach that is situated as both practice and research, with neither enterprise being privileged over the other. The activities outlined here will be developed and evaluated over the next year and a half, after which we will report on whether or how the contingent aims and outcomes expressed were realized.Peer reviewe