All Outputs (492)

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.

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.

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.-A., 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.

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.

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.

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.

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.

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.

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.