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Evolutionary acquisition of complex traits in artificial epigenetic networks (2018)
Journal Article
Turner, A., Tyrrell, A., Trefzer, M., & Lones, M. (2019). Evolutionary acquisition of complex traits in artificial epigenetic networks. BioSystems, 176, 17-26. https://doi.org/10.1016/j.biosystems.2018.12.001

How complex traits arise within organisms over evolutionary time is an important question that has relevance both to the understanding of biological systems and to the design of bio-inspired computing systems. This paper investigates the process of a... Read More about Evolutionary acquisition of complex traits in artificial epigenetic networks.

Infinite Virtual Stoa (2018)
Conference Proceeding
Torrao, L., Papadopoulos, Y., & Mckie, D. (2018). Infinite Virtual Stoa. In XXI GENERATIVE ART 2018, proceedings of XXI Generative Art conference (183-194)

Stoicism is a philosophy that considers the object of life to be ataraxia (αταραξία), a state of psychological stability which is undisturbed by exposure to phenomena and circumstances that lie outside one's control. Such circumstances may include il... Read More about Infinite Virtual Stoa.

Control of flexible joint robotic manipulator: Design and prototyping (2018)
Conference Proceeding
Alam, W., Ali, N., Wahaj Aziz, H. M., & Iqbal, J. (2018). Control of flexible joint robotic manipulator: Design and prototyping. In 2018 International Conference on Electrical Engineering (ICEE). https://doi.org/10.1109/ICEE.2018.8566796

Robots are now an integral part of automation sector, thus indicating the importance of the associated control strategies. In contrast with conventional rigid manipulators, flexible arms offer several benefits in terms of light weight and power effic... Read More about Control of flexible joint robotic manipulator: Design and prototyping.

Approaches to Measuring Attendance and Engagement (2018)
Journal Article
Grey, S., & Gordon, N. A. (2018). Approaches to Measuring Attendance and Engagement. New Directions in the Teaching of Physical Sciences, 13(13), Article 2692. https://doi.org/10.29311/ndtps.v0i13.2767

In this paper, we argue that, where we measure student attendance, this creates an extrinsic motivator in the form of a reward for (apparent) engagement and can thus lead to undesirable behaviour and outcomes. We go on to consider a number of other m... Read More about Approaches to Measuring Attendance and Engagement.

TIMAEUS: Three-dimensional Illuminated Media Augmented Sculptures (2018)
Conference Proceeding
Torrao, L., Mckie, D., & Papadopoulos, Y. (2018). TIMAEUS: Three-dimensional Illuminated Media Augmented Sculptures. In Proceedings of 20th Generative Art Conference,Soddu C. and Colabella E. (eds), Domus Argenia (459-469)

TIMAEUS is a digital art studio environment that enables creation of personalised 3-dimensional sculptures built with expanding spherical volumes or interconnected tetrahedra and possibly other atomic blocks in the future. These sculptures can be cus... Read More about TIMAEUS: Three-dimensional Illuminated Media Augmented Sculptures.

Lightweight and privacy-friendly spatial data aggregation for secure power supply and demand management in smart grids (2018)
Journal Article
Gope, P., & Sikdar, B. (2019). Lightweight and privacy-friendly spatial data aggregation for secure power supply and demand management in smart grids. IEEE transactions on information forensics and security, 14(6), 1554 - 1566. https://doi.org/10.1109/TIFS.2018.2881730

The concept of smart metering allows real-time measurement of power demand which in turn is expected to result in more efficient energy use and better load balancing. However, finely granular measurements reported by smart meters can lead to starkly... Read More about Lightweight and privacy-friendly spatial data aggregation for secure power supply and demand management in smart grids.

A new dynamic path planning approach for unmanned aerial vehicles (2018)
Journal Article
Huang, C., Lan, Y., Liu, Y., Zhou, W., Pei, H., Yang, L., …Peng, Y. (2018). A new dynamic path planning approach for unmanned aerial vehicles. Complexity, 2018, Article 8420294. https://doi.org/10.1155/2018/8420294

Dynamic path planning is one of the key procedures for unmanned aerial vehicles (UAV) to successfully fulfill the diversified missions. In this paper, we propose a new algorithm for path planning based on ant colony optimization (ACO) and artificial... Read More about A new dynamic path planning approach for unmanned aerial vehicles.

Fuzzy evidence theory and Bayesian networks for process systems risk analysis (2018)
Journal Article
Yazdi, M., & Kabir, S. (2018). Fuzzy evidence theory and Bayesian networks for process systems risk analysis. Human and Ecological Risk Assessment, 1-30. https://doi.org/10.1080/10807039.2018.1493679

Quantitative risk assessment (QRA) approaches systematically evaluate the likelihood, impacts, and risk of adverse events. QRA using fault tree analysis (FTA) is based on the assumptions that failure events have crisp probabilities and they are stati... Read More about Fuzzy evidence theory and Bayesian networks for process systems risk analysis.

A box particle filter method for tracking multiple extended objects (2018)
Journal Article
De Freitas, A., Mihaylova, L., Gning, A., Schikora, M., Ulmke, M., Angelova, D., & Koch, W. (2019). A box particle filter method for tracking multiple extended objects. IEEE Transactions on Aerospace and Electronic Systems, 55(4), 1640 - 1655. https://doi.org/10.1109/TAES.2018.2874147

Extended objects generate a variable number of multiple measurements. In contrast with point targets, extended objects are characterized with their size or volume, and orientation. Multiple object tracking is a notoriously challenging problem due to... Read More about A box particle filter method for tracking multiple extended objects.

Virtual reality crowd simulation: effects of agent density on user experience and behaviour (2018)
Journal Article
Dickinson, P., Gerling, K., Hicks, K., Murray, J., Shearer, J., & Greenwood, J. (2019). Virtual reality crowd simulation: effects of agent density on user experience and behaviour. Virtualreality : the journal of the Virtual Reality Society, 23(1), 19-32. https://doi.org/10.1007/s10055-018-0365-0

Agent-based crowd simulations are used for modelling building and space usage, allowing designers to explore hypothetical real-world scenarios, including extraordinary events such as evacuations. Existing work which engages virtual reality (VR) as a... Read More about Virtual reality crowd simulation: effects of agent density on user experience and behaviour.

A new smart mobile system for chronic wound care management (2018)
Journal Article
Wang, S., Zhang, Q., Huang, W., Tian, H., Hu, J., Cheng, Y., & Peng, Y. (2018). A new smart mobile system for chronic wound care management. IEEE Access, 6, 52355-52365. https://doi.org/10.1109/ACCESS.2018.2864264

Nonhealing wounds pose a major challenge in clinical medicine. Typical chronic wounds, such as diabetic foot ulcers and venous leg ulcers, have brought substantial difficulties to millions of patients around the world. The management of chronic wound... Read More about A new smart mobile system for chronic wound care management.

Anonymity preserving and lightweight multi-medical server authentication protocol for telecare medical information system (2018)
Journal Article
Amin, R., Islam, S. H., Gope, P., Choo, K. K. R., & Tapas, N. (2019). Anonymity preserving and lightweight multi-medical server authentication protocol for telecare medical information system. IEEE Journal of Biomedical and Health Informatics, 23(4), 1749 - 1759. https://doi.org/10.1109/JBHI.2018.2870319

Electronic health systems, such as Telecare Medical Information System (TMIS), allow patients to exchange their health information with a medical center/doctor for diagnosis in real-time, and across borders. Given the sensitive nature of health infor... Read More about Anonymity preserving and lightweight multi-medical server authentication protocol for telecare medical information system.

Towards additive manufacturing oriented geometric modeling using implicit functions (2018)
Journal Article
Li, Q., Hong, Q., Qi, Q., Ma, X., Han, X., & Tian, J. (2018). Towards additive manufacturing oriented geometric modeling using implicit functions. Visual Computing for Industry, Biomedicine, and Art, 1(1), Article 9. https://doi.org/10.1186/s42492-018-0009-y

Surface-based geometric modeling has many advantages in terms of visualization and traditional subtractive manufacturing using computer-numerical-control cutting-machine tools. However, it is not an ideal solution for additive manufacturing because t... Read More about Towards additive manufacturing oriented geometric modeling using implicit functions.

Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images (2018)
Journal Article
Chen, W., Yang, Z., Cao, F., Yan, Y., Wang, M., Qing, C., & Cheng, Y. (2019). Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images. IET Image Processing, 13(2), 299-306. https://doi.org/10.1049/iet-ipr.2018.5419

Dimensionality reduction is of high importance in hyperspectral data processing, which can effectively reduce the data redundancy and computation time for improved classification accuracy. Band selection and feature extraction methods are two widely... Read More about Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images.

Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. (2018)
Presentation / Conference
Atanbori, J., Chen, F., French, A. P., & Pridmore, T. (2018, September). Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. Paper presented at British Machine Vision Conference 2018, BMVC 2018, Northumbria University

© 2018. The copyright of this document resides with its authors. Segmentation is the core of most plant phenotyping applications. Current state-of-the-art plant phenotyping applications rely on deep Convolutional Neural Networks (CNNs). However, thes... Read More about Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN..

An adaptive ensemble approach to ambient intelligence assisted people search (2018)
Journal Article
Xue, D., Wang, X., Zhu, J., Davis, D. N., Wang, B., Zhao, W., …Cheng, Y. (2018). An adaptive ensemble approach to ambient intelligence assisted people search. Applied System Innovation, 1(3), 1-18. https://doi.org/10.3390/asi1030033

Some machine learning algorithms have shown a better overall recognition rate for facial recognition than humans, provided that the models are trained with massive image databases of human faces. However, it is still a challenge to use existing algor... Read More about An adaptive ensemble approach to ambient intelligence assisted people search.

What are the minimal sample size requirements for Mokken scaling? An empirical example with the Warwick-Edinburgh Mental Well-being Scale (2018)
Journal Article
Watson, R., Egberink, I. J., Kirke, L., Tendeiro, J. N., & Doyle, F. (in press). What are the minimal sample size requirements for Mokken scaling? An empirical example with the Warwick-Edinburgh Mental Well-being Scale. Health Psychology and Behavioral Medicine, 6(1), 203-213. https://doi.org/10.1080/21642850.2018.1505520

Purpose Sample size in Mokken scales is mostly studied on simulated data, reflected in the lack of consideration of sample size in most Mokken scaling studies. Recently, Straat et al. (2014) provided minimum sample size requirements for Mokken scale... Read More about What are the minimal sample size requirements for Mokken scaling? An empirical example with the Warwick-Edinburgh Mental Well-being Scale.

Thin Implicit Utah Teapot: Design for Additive Manufacturing (2018)
Conference Proceeding
Qi, Q., & Li, Q. (2018). Thin Implicit Utah Teapot: Design for Additive Manufacturing. In 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (1933-1940). https://doi.org/10.1109/Cybermatics_2018.2018.00320

© 2018 IEEE. Converting a surface-based geometric object into a thin solid is an essential requirement for additive manufacturing. Although offset surface and thickening techniques have been widely used for this task, it is in general difficult to mo... Read More about Thin Implicit Utah Teapot: Design for Additive Manufacturing.

Classification of bird species from video using appearance and motion features (2018)
Journal Article
Atanbori, J., Duan, W., Shaw, E., Appiah, K., & Dickinson, P. (2018). Classification of bird species from video using appearance and motion features. Ecological informatics, 48, 12-23. https://doi.org/10.1016/j.ecoinf.2018.07.005

The monitoring of bird populations can provide important information on the state of sensitive ecosystems; however, the manual collection of reliable population data is labour-intensive, time-consuming, and potentially error prone. Automated monitori... Read More about Classification of bird species from video using appearance and motion features.