All Outputs (708)

A dependability modeling and analysis approach for an IoP-based service system (2018)
Presentation / Conference Contribution
Mian, Z., Bottaci, L., Jiang, J., He, J., Yu, Q., & Wang, X. (2018). A dependability modeling and analysis approach for an IoP-based service system. In IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (2036-2041). https://doi.org/10.1109/SmartWorld.2018.00341

The increasing use of the internet of people (IoP) based service systems has the potential to bring about substantial benefits to individuals. An IoP-based service system includes components such as cell phones, wearable devices, smart homes, cars et... Read More about A dependability modeling and analysis approach for an IoP-based service system.

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)
Presentation / Conference Contribution
Torrao, L., Mckie, D., & Papadopoulos, Y. (2017, December). TIMAEUS: Three-dimensional Illuminated Media Augmented Sculptures. Presented at 20th Generative Art Conference

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., Cheng, Y., Hao, Y., & 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.

Human machine interface: robotizing the instinctive living (2018)
Journal Article
Tahir, A. M., Iqbal, J., & Aized, T. (2018). Human machine interface: robotizing the instinctive living. International Robotics & Automation Journal, 4(5), 308-314. https://doi.org/10.15406/iratj.2018.04.00142

The advancement in medical science and technology has revolutionized human interaction with machines, crafting one of the most promising state-of-the-art technological fields of today’s world. This innovation has made doors opened to rehabilitation b... Read More about Human machine interface: robotizing the instinctive living.

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.

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 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.

Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. (2018)
Presentation / Conference Contribution
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., Peng, Y., & 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)
Presentation / Conference Contribution
Qi, Q., & Li, Q. (2018, July). Thin Implicit Utah Teapot: Design for Additive Manufacturing. Presented at The 18th IEEE International Conference on Computer and Information Technology

© 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.

Explicit Modelling and Treatment of Repair in Prediction of Dependability (2018)
Journal Article
Aizpurua, J. I., Papadopoulos, Y., & Merle, G. (2020). Explicit Modelling and Treatment of Repair in Prediction of Dependability. IEEE Transactions on Dependable and Secure Computing, 17(6), 1147-1162. https://doi.org/10.1109/TDSC.2018.2857810

In engineering practice, multiple repair actions are considered carefully by designers, and their success or failure defines further control actions and the evolution of the system state. Such treatment is not fully supported by the current state-of-... Read More about Explicit Modelling and Treatment of Repair in Prediction of Dependability.

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.

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., Hao, Y., Cheng, Y., & Peng, Y. (2018). A hybrid active contour segmentation method for myocardial D-SPECT images. IEEE Access, 6, 39334-39343. https://doi.org/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 about A hybrid active contour segmentation method for myocardial D-SPECT images.