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Variability management in safety-critical systems design & dependability analysis (2019)
Journal Article
De Oliveira, A., Braga, R., Masiero, P., Parker, D., Papadopoulos, Y., Habli, I., & Kelly, T. (in press). Variability management in safety-critical systems design & dependability analysis. Journal of software : evolution and process,

Safety-critical systems are of paramount importance for many application domains where safety properties are a key driver to engineer critical aspects and avoid system failures. However, the integration of safety analyses in the development process i... Read More

A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth (2019)
Journal Article
Pinheiro, M., Ma, X., Fagan, M., McIntyre, G. T., Lin, P., Sivamurthy, G., & Mossey, P. A. (in press). A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth. Journal of Biological Engineering,

Objectives To develop a protocol for 3D cephalometric alignment for identification of the natural head position (NHP) and the accurate quantification of facial growth and facial asymmetry. Materials and Methods A phantom study was conducted to a... Read More

Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm (2019)
Journal Article
Zhang, B., Ren, J., Wang, B., Cheng, Y., & Wei, Z. (2019). Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm. IEEE access : practical innovations, open solutions, doi:10.1109/access.2019.2902217

Diseases related to issues with blood pressure are becoming a major threat to human health. With the development of telemedicine monitoring applications, a growing number of corresponding devices are being marketed, such as the usage of remote monito... Read More

Automatic classification method for software vulnerability based on deep neural network (2019)
Journal Article
Huang, G., Li, Y., Wang, Q., Ren, J., Cheng, Y., & Zhao, X. (2019). Automatic classification method for software vulnerability based on deep neural network. IEEE access : practical innovations, open solutions, 1-1. doi:10.1109/access.2019.2900462

Software vulnerabilities are the root causes of various security risks. Once a vulnerability is exploited by malicious attacks, it will greatly compromise the safety of the system, and may even cause catastrophic losses. Hence automatic classificatio... Read More

Predicting blood pressure from physiological index data using the SVR algorithm (2019)
Journal Article
Zhang, B., Ren, H., Huang, G., Cheng, Y., & Hu, C. (2019). Predicting blood pressure from physiological index data using the SVR algorithm. BMC Bioinformatics, 20(1), doi:10.1186/s12859-019-2667-y

Background Blood pressure diseases have increasingly been identified as among the main factors threatening human health. How to accurately and conveniently measure blood pressure is the key to the implementation of effective prevention and control m... Read More

Lightweight and physically secure anonymous mutual authentication protocol for real-time data access in industrial wireless sensor networks (2019)
Journal Article
Gope, P., Das, A. K., Kumar, N., & Cheng, Y. (2019). Lightweight and physically secure anonymous mutual authentication protocol for real-time data access in industrial wireless sensor networks. IEEE Transactions on Industrial Informatics, 1-1. doi:10.1109/tii.2019.2895030

Industrial Wireless Sensor Network (IWSN) is an emerging class of a generalized Wireless Sensor Network (WSN) having constraints of energy consumption, coverage, connectivity, and security. However, security and privacy is one of the major challenges... Read More

Ionic Imbalances and Coupling in Synchronization of Responses in Neurons (2019)
Journal Article
Sadegh-Zadeh, S., Kambhampati, C., & Davis, D. N. (2019). Ionic Imbalances and Coupling in Synchronization of Responses in Neurons. J, 2(1), 17-40. doi:10.3390/j2010003

Most neurodegenerative diseases (NDD) are a result of changes in the chemical composition of neurons. For example, Alzheimer's disease (AD) is the product of Aβ peptide deposition which results in changes in the ion concentration. These changes in io... Read More

A flexible approach to introductory programming : engaging and motivating students (2019)
Conference Proceeding
Gordon, N., Brayshaw, M., & Grey, S. (2019). A flexible approach to introductory programming : engaging and motivating students. In CEP '19 Proceedings of the 3rd Conference on Computing Education Practicedoi:10.1145/3294016.3294025

© 2019 Copyright is held by the owner/author(s). In this paper, we consider an approach to supporting students of Computer Science as they embark upon their university studies. The transition to Computer Science can be challenging for students, and e... Read More

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. doi: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

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

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), 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

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. doi: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

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. doi: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

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. (in press). A box particle filter method for tracking multiple extended objects. IEEE Transactions on Aerospace and Electronic Systems, 1-1. doi: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

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. (in press). Virtual reality crowd simulation: effects of agent density on user experience and behaviour. Virtualreality : the journal of the Virtual Reality Society, doi: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

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), doi: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

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. (2018). Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images. IET Image Processing, doi: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

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

Some machine learning algorithms have shown a better overall recognition rate for facial 11 recognition than humans, provided that the models are trained with massive image databases of 12 human faces. However, it is still a challenge to use existing... Read More

A hybrid active contour segmentation method for myocardial D-SPECT images (2018)
Journal Article
Huang, C., Shan, X., Lan, Y., Liu, L., Cai, H., Che, W., …Peng, Y. (2018). A hybrid active contour segmentation method for myocardial D-SPECT images. IEEE access : practical innovations, open solutions, 6, 39334-39343. doi:10.1109/ACCESS.2018.2855060

Ischaemic heart disease has become one of the leading causes of mortality worldwide. Dynamic single-photon emission computed tomography (D-SPECT) is an advanced routine diagnostic tool commonly used to validate myocardial function in patients sufferi... Read More

Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data (2018)
Journal Article
Yu, K., Liu, Y., Qing, L., Wang, B., & Cheng, Y. (2018). Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data. IEEE access : practical innovations, open solutions, 6, 37568-37580. doi:10.1109/ACCESS.2018.2852008

With the rapid development of wireless communication and mobile Internet, mobile phone becomes ubiquitous and functions as a versatile and smart system, on which people frequently interact with various mobile applications (Apps). Understanding human... Read More