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A Survey of the methods on fingerprint orientation field estimation (2019)
Journal Article
Bian, W., Xu, D., Li, Q., Cheng, Y., Jie, B., & Ding, X. (2019). A Survey of the methods on fingerprint orientation field estimation. IEEE Access, 7, 32644-32663. https://doi.org/10.1109/ACCESS.2019.2903601

Fingerprint orientation field (FOF) estimation plays a key role in enhancing the performance of the automated fingerprint identification system (AFIS): Accurate estimation of FOF can evidently improve the performance of AFIS. However, despite the eno... Read More about A Survey of the methods on fingerprint orientation field estimation.

A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm (2019)
Journal Article
Huang, C., Tian, G., Lan, Y., Peng, Y., Ng, E. Y. K., Hao, Y., …Che, W. (2019). A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm. Frontiers in Neuroscience, 13, Article 210. https://doi.org/10.3389/fnins.2019.00210

Recent research has reported the application of image fusion technologies in medical images in a wide range of aspects, such as in the diagnosis of brain diseases, the detection of glioma and the diagnosis of Alzheimer’s disease. In our study, a new... Read More about A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm.

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, 7, 32423-32433. https://doi.org/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 use of remote monitori... Read More about Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm.

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, 7, 28291-28298. https://doi.org/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 about Automatic classification method for software vulnerability based on deep neural network.

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), Article 109. https://doi.org/10.1186/s12859-019-2667-y

© 2019 The Author(s). 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 pr... Read More about Predicting blood pressure from physiological index data using the SVR algorithm.

Model transformation for analyzing dependability of AADL model by using HiP-HOPS (2019)
Journal Article
Mian, Z., Bottaci, L., Papadopoulos, Y., & Mahmud, N. (2019). Model transformation for analyzing dependability of AADL model by using HiP-HOPS. Journal of Systems and Software, 151, 258-282. https://doi.org/10.1016/j.jss.2019.02.019

The Architecture Analysis and Design Language (AADL) has emerged as a potential future standard in aerospace, automobile and avionics industries for model-based development of dependability-critical systems. As AADL is relatively new, some existing a... Read More about Model transformation for analyzing dependability of AADL model by using HiP-HOPS.

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 bio-medical engineering / Bio-medical Engineering Group, 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.

Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review (2019)
Journal Article
Kabir, S., & Papadopoulos, Y. (2019). Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review. Safety science, 115, 154-175. https://doi.org/10.1016/j.ssci.2019.02.009

System safety, reliability and risk analysis are important tasks that are performed throughout the system life-cycle to ensure the dependability of safety-critical systems. Probabilistic risk assessment (PRA) approaches are comprehensive, structured... Read More about Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review.

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. https://doi.org/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 about Lightweight and physically secure anonymous mutual authentication protocol for real-time data access in industrial wireless sensor networks.

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 — Multidisciplinary Scientific Journal, 2(1), 17-40. https://doi.org/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 about Ionic Imbalances and Coupling in Synchronization of Responses in Neurons.

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 Practice. https://doi.org/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 about A flexible approach to introductory programming : engaging and motivating students.

Gain-scheduled proportional integral derivative control of taxi model of unmanned aerial vehicles (2019)
Journal Article
Wasim, M., Ullah, M., & Iqbal, J. (2019). Gain-scheduled proportional integral derivative control of taxi model of unmanned aerial vehicles. Revue Roumaine des Sciences Techniques : Série Électrotechnique et Énergétique, 64(1), 75-80

Unmanned aerial vehicles (UAVs) are extensively used for defense and surveillance applications. To ensure desirable performance under all conditions, a UAV requires an appropriate control strategy. For the design of control law, a complete understand... Read More about Gain-scheduled proportional integral derivative control of taxi model of unmanned aerial vehicles.

Experimental validation of an integral sliding mode-based LQG for the pitch control of a UAV-mimicking platform (2019)
Journal Article
Khan, S. G., Bendoukha, S., Naeem, W., & Iqbal, J. (2019). Experimental validation of an integral sliding mode-based LQG for the pitch control of a UAV-mimicking platform. Advances in Electrical and Electronic Engineering, 17(3), 275-284. https://doi.org/10.15598/aeee.v17i3.3031

In this paper, an enhanced Integral Sliding Mode-based Linear Quadratic Gaussian (ISM-LQG) controller has been proposed and verified in real-time on a Twin Rotor multi-input-multi-output MIMO System (TRMS). A TRMS serves as a suitable laboratorybased... Read More about Experimental validation of an integral sliding mode-based LQG for the pitch control of a UAV-mimicking platform.

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.

A dependability modeling and analysis approach for an IoP-based service system (2018)
Conference Proceeding
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)
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.