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Velaga N.R.,The Digital Hub | Quddus M.A.,Loughborough University | Bristow A.L.,Loughborough University
Journal of Intelligent Transportation Systems: Technology, Planning, and Operations | Year: 2012

Map-matching algorithms integrate data from positioning sensors with a digital map in order, first, to identify the road link on which a vehicle is traveling, and second, to determine the vehicle's location on that link. Due to errors in positioning sensors, digital maps, and the map-matching (MM) process, MM algorithms sometimes fail to identify the correct road segment from the candidate segments. This phenomenon is known as mismatching. Identification of the wrong road link may mislead users and degrade the performance of a location-based intelligent transportation system (ITS) and services. The main objective of this article is to improve a topological map-matching (tMM) algorithm by error detection, correction, and performance re-evaluation. Errors in a tMM algorithm were determined using data comprising 62,887 positioning points collected in three different countries (the United Kingdom, the United States, and India). After map-matching, each mismatched case was examined to identify the primary causes of the mismatches. A number of strategies were developed and applied to reduce the risk of mismatching thus enhancing the tMM algorithm. An independent data set of 5,256 positioning points collected in and around Nottingham, UK, was employed to re-evaluate the performance of the enhanced tMM algorithm. The original tMM algorithm correctly identified the vehicle's position 96.5% of the time; after enhancement this increased to 97.8%. This compares very well with the performance of tMM algorithms reported in the literature. The enhanced tMM algorithm developed in this research is simple, fast, efficient, and easy to implement. Since the accuracy offered by the enhanced algorithm is found to be high, the developed algorithm has potential to be implemented in real-time location-based ITS applications. Copyright © Taylor and Francis Group, LLC.


Tang W.,Bournemouth University | Sagi A.,The Digital Hub | Green D.,University of Teesside | Wan T.R.,University of Bradford
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

Physics simulation is an active research topic in games, because without realistic physics, even the most beautiful game feels static and lifeless. Although cloth simulation is not new in computer graphics, high level of details of cloth in video games is rare and mostly coarse due to complex and nonlinear physical properties of cloth, which requires substantial computing power necessary to simulate it in realtime. This paper presents a robust and scalable real-time cloth simulation framework by exploring a variety of modern simulation techniques to produce realistic cloth simulation for games. The framework integrates with OpenCL GPGPU library to leverage parallelism. The final result is an API for games development with enriched interactive environments. © Springer International Publishing Switzerland 2016.


Purpose – The purpose of this paper is to provide a review of the experiences in working collaboratively with physically impaired visual artists and other stakeholders (e.g. disability arts organisations, charities, personal assistants, special needs colleges, assistive technologists, etc.) to explore the potential of digital assistive tools to support and transform practice. Design/methodology/approach – The authors strategically identified key organisations as project partners including Disability Arts Shropshire, Arts Council England, the British Council, SCOPE, and National Star College (a large special needs college). This multi-disciplinary team worked together to develop relationships with disabled artists and to collaboratively influence the research focus around investigating the current practice of physically impaired artists and the impact of digital technologies on artistic work. Findings – The collaborations with disabled artists and stakeholders throughout the research process have enriched the project, broadened and deepened research impact, and enabled a firsthand understanding of the issues around using assistive technology for artistic work. Artists and stakeholders have become pro-active collaborators and advocates for the project as opposed to being used only for evaluation purposes. A flexible research approach was crucial in helping to facilitate research studies and enhance impact of the work. Originality/value – This paper is the first to discuss experiences in working with physically impaired visual artists – including the benefits of a collaborative approach and the considerations that must be made when conducting research in this area. The observations are also relevant to researchers working with disabled participants in other fields. © 2016, © Emerald Group Publishing Limited.


Hakvoort G.,The Digital Hub
ITS 2013 - Proceedings of the 2013 ACM International Conference on Interactive Tabletops and Surfaces | Year: 2013

Technological developments open new opportunities to meet the increasing expectations of museum visitors. Although these technologies provide many new possibilities, individual challenges and limitations are rife. Museums should aim to unify many such technologies in order to capture visitor attention, engage interaction and facilitate social activities. By incorporating exhibits, objects, devices and people into a network of interconnected systems, new patterns, interaction types and social relations are expected to emerge. The goal of the research described in this paper is to explore the behavioural patterns emerging from visitors' interaction within the museum environment, how these patterns can be utilised in order to create new engaging and social experiences and how unifications of new technologies can contribute to engaging visitor interactions. © 2013 Author.


Grant
Agency: GTR | Branch: EPSRC | Program: | Phase: Research Grant | Award Amount: 1.68M | Year: 2012

Chronic diseases are now the leading causes of death in both developing and developed countries. Such conditions include diabetes, asthma, arthritis, heart failure, COPD, dementia and a range of disabling psychological conditions such as depression. In the UK the cost of care of people with chronic conditions consumes the majority of health and social care resources, for example, accounting for over 80% of GP consultations. While the UK and India have very different practices and structures for healthcare delivery, the effective management of chronic illness is a priority for both countries. Patients in rural areas, however, present particular challenges that neither countrys healthcare systems are well configured to address. This issue is particularly relevant to India with 71% of the population in rural areas. While less than 1 in 5 of the UK population are rural dwellers, large parts of the country are sparsely populated; for example in Scotland, 29% of the population live in rural areas. Rural healthcare inequality in both countries arises from a number of factors, including transport costs and the inaccessibility of specialist services. The goal of the TRUMP project is to explore the potential of mobile technologies in the development of a platform to support chronic disease management by simultaneously considering the needs of rural areas of India and the UK. Trust in such systems is vital if they are be accepted by patients and health workers alike, and this issue will form a central part of the development of the platform. Two common chronic conditions, diabetes and depression, have been chosen as exemplars for the development of the platform and its evaluation. TRUMP is a multidisciplinary project involving academic researchers from the UK and India, together with partner organisations drawn from the business and community sectors. Working together, this team will: perform a detailed analysis of the healthcare context, design sustainable technology solutions compatible with local and national healthcare policies; incorporate existing proven chronic management programmes and training. This implies support for novel patient record systems, mechanisms for tracking the patient (symptoms and behaviour), as well as patient awareness of self-management.

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