All Outputs (125)

Privacy Engineering for Domestic IoT: Enabling Due Diligence (2019)
Journal Article
Lodge, T., & Crabtree, A. (2019). Privacy Engineering for Domestic IoT: Enabling Due Diligence. Sensors, 19(20), Article 4380. https://doi.org/10.3390/s19204380

The EU’s General Data Protection Regulation (GDPR) has recently come into effect and insofar as IoT applications touch EU citizens or their data, developers are obliged to exercise due diligence and ensure they undertake Data Protection by Design and... Read More about Privacy Engineering for Domestic IoT: Enabling Due Diligence.

Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms (2019)
Journal Article
Schweiger, G., Nilsson, H., Schoeggl, J., Birk, W., & Posch, A. (2020). Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms. Applied Mathematics and Computation, 365, Article 124713. https://doi.org/10.1016/j.amc.2019.124713

A trend across most areas where simulation-driven development is used is the ever increasing size and complexity of the systems under consideration, pushing established methods of modeling and simulation towards their limits. This paper complements e... Read More about Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms.

A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes (2019)
Journal Article
Chen, B., Qu, R., Bai, R., & Laesanklang, W. (2020). A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes. RAIRO: Operations Research, 54(5), 1467-1494. https://doi.org/10.1051/ro/2019080

Based on a real-life container transport problem, a model of Open Periodic Vehicle Routing Problem with Time Windows (OPVRPTW) is proposed in this paper. In a wide planning horizon, which is divided into a number of shifts, a fixed number of trucks a... Read More about A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes.

Deep Reinforcement Learning based Patch Selection for Illuminant Estimation (2019)
Journal Article
Xu, B., Liu, J., Hou, X., Liu, B., & Qiu, G. (2019). Deep Reinforcement Learning based Patch Selection for Illuminant Estimation. Image and Vision Computing, 91, Article 103798. https://doi.org/10.1016/j.imavis.2019.08.002

Previous deep learning based approaches to illuminant estimation either resized the raw image to lower resolution or randomly cropped image patches for the deep learning model. However, such practices would inevitably lead to information loss or the... Read More about Deep Reinforcement Learning based Patch Selection for Illuminant Estimation.

Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study (2019)
Journal Article
Canizo, M., Triguero, I., Conde, A., & Onieva, E. (2019). Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study. Neurocomputing, 363, 246-260. https://doi.org/10.1016/j.neucom.2019.07.034

Detecting anomalies in time series data is becoming mainstream in a wide variety of industrial applications in which sensors monitor expensive machinery. The complexity of this task increases when multiple heterogeneous sensors provide information of... Read More about Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study.

A comparison of presentation methods for conducting youth juries (2019)
Journal Article
Dowthwaite, L., Perez Vallejos, E., Koene, A., Cano, M., & Portillo, V. (2019). A comparison of presentation methods for conducting youth juries. PLoS ONE, 14(6), Article e0218770. https://doi.org/10.1371/journal.pone.0218770

The 5Rights Youth Juries are an educational intervention to promote digital literacy by engaging participants (i.e. jurors) in a deliberative discussion around their digital rights. The main objective of these jury-styled focus groups is to encourage... Read More about A comparison of presentation methods for conducting youth juries.

The Living Room of the Future (2019)
Presentation / Conference Contribution
Sailaja, N., Colley, J., Crabtree, A., Gradinar, A., Coulton, P., Forrester, I., Kerlin, L., & Stenton, P. (2019, June). The Living Room of the Future. Presented at 2019 ACM International Conference on Interactive Experiences for TV and Online Video (TVX 19), Salford, Manchester, United Kingdom

Emergent media services are turning towards the use of audience data to deliver more personalised and immersive experiences. We present the Living Room of The Future (LRoTF), an embodied design fiction built to both showcase future adaptive physicall... Read More about The Living Room of the Future.

A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective (2019)
Journal Article
Angarita-Zapata, J. S., Masegosa, A. D., & Triguero, I. (2019). A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. IEEE Access, 7, 68185 -68205. https://doi.org/10.1109/ACCESS.2019.2917228

One contemporary policy to deal with traffic congestion is the design and implementation of forecasting methods that allow users to plan ahead of time and decision makers to improve traffic management. Current data availability and growing computatio... Read More about A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective.

Designing and evaluating mobile self-reporting techniques: crowdsourcing for citizen science (2019)
Journal Article
Younis, E. M. G., Kanjo, E., & Chamberlain, A. (2019). Designing and evaluating mobile self-reporting techniques: crowdsourcing for citizen science. Personal and Ubiquitous Computing, 23(2), 329-338. https://doi.org/10.1007/s00779-019-01207-2

In recent years, mobile phone technology has taken tremendous leaps and bounds to enable all types of sensing applications and interaction methods, including mobile journaling and self-reporting to add metadata and to label sensor data streams. Mobil... Read More about Designing and evaluating mobile self-reporting techniques: crowdsourcing for citizen science.

The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning (2019)
Journal Article
Turner, A., & Hayes, S. (2019). The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning. IEEE Transactions on Biomedical Engineering, 66(11), 3136-3145. https://doi.org/10.1109/tbme.2019.2900863

Objective: This paper describes how non-invasive wearable sensors can be used in combination with deep learning to classify artificially induced gait alterations without the requirement for a medical professional or gait analyst to be present. This a... Read More about The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning.

Citizen science and the professional-amateur divide: lessons from differing online practices (2019)
Journal Article
Dowthwaite, L., & Sprinks, J. (2019). Citizen science and the professional-amateur divide: lessons from differing online practices. JCOM: Journal of Science Communication, 18(01), Article A06. https://doi.org/10.22323/2.18010206

Online citizen science platforms increasingly provide types of infrastructural support previously only available to organisationally-based professional scientists. Other practices, such as creative arts, also exploit the freedom and accessibility aff... Read More about Citizen science and the professional-amateur divide: lessons from differing online practices.

Deep learning approaches to aircraft maintenance, repair and overhaul: a review (2018)
Presentation / Conference Contribution
Rengasami, D., Morvan, H., & Patrocinio Figueredo, G. (2018, November). Deep learning approaches to aircraft maintenance, repair and overhaul: a review. Presented at IEEE International Conference on Intelligent Transportation Systems

The use of sensor technology constantly gathering aircrafts' status data has promoted the rapid development of data-driven solutions in aerospace engineering. These methods assist, for instance, with determining appropriate actions for aircraft maint... Read More about Deep learning approaches to aircraft maintenance, repair and overhaul: a review.

Exploring relationships between museum artefacts through spatial interaction (2018)
Presentation / Conference Contribution
Ali, S., Bedwell, B., & Koleva, B. (2018, September). Exploring relationships between museum artefacts through spatial interaction. Presented at NordiCHI'18: Nordic Conference on Human-Computer Interaction, Oslo, Norway

We propose a novel approach, which involves visitors physically manipulating visual representations of artefacts and scanning with their mobile phone different groups or sequences of items in order to reveal digital information about their relationsh... Read More about Exploring relationships between museum artefacts through spatial interaction.

Discomfort—the dark side of fun (2018)
Book Chapter
Benford, S., Greenhalgh, C., Giannachi, G., Walker, B., Marshall, J., Tennent, P., & Rodden, T. (2018). Discomfort—the dark side of fun. In M. Blythe, & A. Monk (Eds.), Funology 2: from usability to enjoyment (209-224). Springer. https://doi.org/10.1007/978-3-319-68213-6_13

For many of us, the notion of ‘fun’ conjures up visions of experiences that are amusing, pleasant, entertaining, playful—perhaps even frivolous. Rides, games, shows and perhaps even the experience of visiting an art gallery can embody these senses of... Read More about Discomfort—the dark side of fun.

A landscape of design: Interaction, interpretation and the development of experimental expressive interfaces (2018)
Presentation / Conference Contribution
Chamberlain, A., Bødker, M., De Roure, D., Willcox, P., Emsley, I., & Malizia, A. (2018, July). A landscape of design: Interaction, interpretation and the development of experimental expressive interfaces. Presented at HCI: International Conference on Human-Computer Interaction, Las Vegas, Nevada, USA

This short paper presents the initial research insights of an ongoing research project that focuses upon understanding the role of landscape, its use as a resource for designing interfaces for musical expression, and as a tool for leveraging ethnogra... Read More about A landscape of design: Interaction, interpretation and the development of experimental expressive interfaces.

Digital interventions to reduce sedentary behaviors of office workers: Scoping review (2018)
Preprint / Working Paper
Huang, Y., Benford, S., & Blake, H. Digital interventions to reduce sedentary behaviors of office workers: Scoping review

Low-Cost Automatic Ambient Assisted Living System (2018)
Presentation / Conference Contribution
Malekmohamad, H., Moemeni, A., Orun, A., & Purohit, J. K. (2018, March). Low-Cost Automatic Ambient Assisted Living System. Presented at 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Athens, Greece

The recent increase in ageing population in countries around the world has brought a lot of attention toward research and development of ambient assisted living (AAL) systems. These systems should be inexpensive to be installed in elderly homes, prot... Read More about Low-Cost Automatic Ambient Assisted Living System.

Archives of thrill: The V-Armchair experience (2017)
Presentation / Conference Contribution
Passmore, P. J., Tennent, P., Walker, B., Philpot, A., Le, H., Markowski, M., & Karamanoglu, M. (2017, November). Archives of thrill: The V-Armchair experience. Presented at International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, ICAT-EGVE 2017, Adelaide, Australia

Technology for older people is typically concerned either with health care or accessibility of existing systems. In this paper we take a more 'entertainment-oriented' approach to developing experiences aimed at older users. We describe here the desig... Read More about Archives of thrill: The V-Armchair experience.

3D segmentation of the whole heart vasculature using improved multi-threshold Otsu and white top-hat scale space hessian based vessel filter (2016)
Presentation / Conference Contribution
Bukenya, F., Ehling, J., Kalema, A. K., Eyoh, I., Robert, J., & Bai, L. (2016, December). 3D segmentation of the whole heart vasculature using improved multi-threshold Otsu and white top-hat scale space hessian based vessel filter. Presented at 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece

Quantification of vessel density helps to know the stage of the disease during diagnosis and patient's response to treatment. However, this requires presence of all vessels in the image. The available segmentation techniques that are manual based are... Read More about 3D segmentation of the whole heart vasculature using improved multi-threshold Otsu and white top-hat scale space hessian based vessel filter.

One-shot assistance estimation from expert demonstrations for a shared control wheelchair system (2015)
Presentation / Conference Contribution
Kucukyilmaz, A., & Demiris, Y. (2015, August). One-shot assistance estimation from expert demonstrations for a shared control wheelchair system. Presented at 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2015), Kobe, Japan

An emerging research problem in the field of assistive robotics is the design of methodologies that allow robots to provide human-like assistance to the users. Especially within the rehabilitation domain, a grand challenge is to program a robot to mi... Read More about One-shot assistance estimation from expert demonstrations for a shared control wheelchair system.