All Outputs (841)

An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health (2019)
Journal Article
Xu, G., Lan, Y., Zhou, W., Huang, C., Li, W., Zhang, W., Zhang, G., Ng, E. Y. K., Cheng, Y., Peng, Y., & Che, W. (2019). An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health. IEEE Access, 7, 173866-173874. https://doi.org/10.1109/ACCESS.2019.2957149

Recently, telemedicine has been widely applied in remote diagnosis, treatment and counseling, where the Internet of Things (IoT) technology plays an important role. In the process of telemedicine, data are collected from remote medical equipment, suc... Read More about An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health.

Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images (2019)
Journal Article
Atanbori, J., Montoya, M., Selvaraj, M. G., French, A. P., & Pridmore, T. P. (2019). Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images. Frontiers in Plant Science, 10, Article 1516. https://doi.org/10.3389/fpls.2019.01516

© Copyright © 2019 Atanbori, Montoya-P, Selvaraj, French and Pridmore. Cassava roots are complex structures comprising several distinct types of root. The number and size of the storage roots are two potential phenotypic traits reflecting crop yield... Read More about Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images.

A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta) (2019)
Journal Article
Selvaraj, M. G., Montoya-P, M. E., Atanbori, J., French, A. P., & Pridmore, T. (2019). A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta). Plant Methods, 15(1), https://doi.org/10.1186/s13007-019-0517-6

© 2019 The Author(s). Background: Root and tuber crops are becoming more important for their high source of carbohydrates, next to cereals. Despite their commercial impact, there are significant knowledge gaps about the environmental and inherent reg... Read More about A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta).

An enhanced secure delegation-based anonymous authentication protocol for PCSs (2019)
Journal Article
Gope, P., Ghayvat, H., Cheng, Y., & Kabir, S. (2019). An enhanced secure delegation-based anonymous authentication protocol for PCSs. International Journal of Communication Systems, Article e4199. https://doi.org/10.1002/dac.4199

Rapid development of wireless networks brings about many security problems in portable communication systems (PCSs), which can provide mobile users with an opportunity to enjoy global roaming services. In this regard, designing a secure user authenti... Read More about An enhanced secure delegation-based anonymous authentication protocol for PCSs.

A conceptual framework to incorporate complex basic events in HiP-HOPS (2019)
Book Chapter
Kabir, S., Aslansefat, K., Sorokos, I., Papadopoulos, Y., & Gheraibia, Y. (2019). A conceptual framework to incorporate complex basic events in HiP-HOPS. In Y. Papadopoulos, K. Aslansefat, P. Katsaros, & M. Bozzano (Eds.), Model-Based Safety and Assessment. IMBSA 2019 (109-124). Springer Verlag. https://doi.org/10.1007/978-3-030-32872-6_8

Reliability evaluation for ensuring the uninterrupted system operation is an integral part of dependable system development. Model-based safety analysis (MBSA) techniques such as Hierarchically Performed Hazard Origin and Propagation Studies (HiP-HOP... Read More about A conceptual framework to incorporate complex basic events in HiP-HOPS.

A runtime safety analysis concept for open adaptive systems (2019)
Presentation / Conference Contribution
Kabir, S., Sorokos, I., Aslansefat, K., Papadopoulos, Y., Gheraibia, Y., Reich, J., Saimler, M., & Wei, R. A runtime safety analysis concept for open adaptive systems. Presented at Model-Based Safety and Assessment (IMBSA 2019), Thessaloniki, Greece

© Springer Nature Switzerland AG 2019. In the automotive industry, modern cyber-physical systems feature cooperation and autonomy. Such systems share information to enable collaborative functions, allowing dynamic component integration and architectu... Read More about A runtime safety analysis concept for open adaptive systems.

Adaptive Backstepping Based Sensor and Actuator Fault Tolerant Control of a Manipulator (2019)
Journal Article
Awan, Z. S., Ali, K., Iqbal, J., & Mehmood, A. (2019). Adaptive Backstepping Based Sensor and Actuator Fault Tolerant Control of a Manipulator. Journal of Electrical Engineering & Technology, 14(6), 2497-2504. https://doi.org/10.1007/s42835-019-00277-9

The purpose of this research is to propose and design fault tolerant control (FTC) scheme for a robotic manipulator, to increase its reliability and performance in the presence of actuator and sensor faults. To achieve the said objectives, a hybrid c... Read More about Adaptive Backstepping Based Sensor and Actuator Fault Tolerant Control of a Manipulator.

A Food Monitoring System using Image Segmentation and Machine Learning (2019)
Thesis
Alatawi, M. I. (2019). A Food Monitoring System using Image Segmentation and Machine Learning. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4912448

In recent years, the number of people requiring dietary monitoring has risen, and dietary records are an essential part of the diagnosis and treatment of many health problems. This project designs and evaluates a food monitoring system for use in ins... Read More about A Food Monitoring System using Image Segmentation and Machine Learning.

Modeling and Robust Control of Twin Rotor MIMO System (2019)
Presentation / Conference Contribution
Shah, S. H., Khan, S. G., Iqbal, J., & Alharthi, M. (2019, October). Modeling and Robust Control of Twin Rotor MIMO System. Presented at 2019 International Conference on Robotics and Automation in Industry (ICRAI)

Recently, unmanned aerial vehicles (UAVs) have witnessed immense popularity in various fields, ranging from surveillance, rescue, and fire fighting to other more sophisticated military and commercial applications. However, due to their highly nonline... Read More about Modeling and Robust Control of Twin Rotor MIMO System.

Dynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networks (2019)
Journal Article
Kabir, S., Taleb-Berrouane, M., & Papadopoulos, Y. (in press). Dynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networks. Energy Sources, Part A, https://doi.org/10.1080/15567036.2019.1670287

Flaring is a combustion process commonly used in the oil and gas industry to dispose flammable waste gases. Flare flameout occurs when these gases escape unburnt from the flare tip causing the discharge of flammable and/or toxic vapor clouds. The tox... Read More about Dynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networks.

Lumen contour segmentation in ivoct based on n-type cnn (2019)
Journal Article
Tang, J., Lan, Y., Chen, S., Zhong, Y., Huang, C., Peng, Y., Liu, Q., Cheng, Y., Chen, F., & Che, W. (2019). Lumen contour segmentation in ivoct based on n-type cnn. IEEE Access, 7, 135573-135581. https://doi.org/10.1109/ACCESS.2019.2941899

Automatic segmentation of lumen contour plays an important role in medical imaging and diagnosis, which is the first step towards the evaluation of morphology of vessels under analysis and the identification of possible atherosclerotic lesions. Meanw... Read More about Lumen contour segmentation in ivoct based on n-type cnn.

Safety + AI: A novel approach to update safety models using artificial intelligence (2019)
Journal Article
Gheraibia, Y., Kabir, S., Aslansefat, K., Sorokos, I., & Papadopoulos, Y. (2019). Safety + AI: A novel approach to update safety models using artificial intelligence. IEEE Access, 7, 135855-135869. https://doi.org/10.1109/ACCESS.2019.2941566

Safety-critical systems are becoming larger and more complex to obtain a higher level of functionality. Hence, modeling and evaluation of these systems can be a difficult and error-prone task. Among existing safety models, Fault Tree Analysis (FTA) i... Read More about Safety + AI: A novel approach to update safety models using artificial intelligence.

Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions (2019)
Journal Article
Qi, Q., Li, Q. D., Cheng, Y., & Hong, Q. Q. (2020). Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions. International Journal of Automation and Computing, 17(1), 30-43. https://doi.org/10.1007/s11633-019-1189-4

Fast high-precision patient-specific vascular tissue and geometric structure reconstruction is an essential task for vascular tissue engineering and computer-aided minimally invasive vascular disease diagnosis and surgery. In this paper, we present a... Read More about Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions.

Operational performance of a novel heat pump coupled with mini-channel PV/T and thermal panel in low solar radiation (2019)
Journal Article
Zhou, J., Zhao, X., Yuan, Y., Li, J., Yu, M., & Fan, Y. (2020). Operational performance of a novel heat pump coupled with mini-channel PV/T and thermal panel in low solar radiation. Energy and Built Environment, 1(1), 50-59. https://doi.org/10.1016/j.enbenv.2019.08.001

Here we describe a heat pump system coupled with novel PV/T and thermal panels for space heating in low solar radiation conditions. Existing solar indirect-expansion systems connect the solar panels and evaporator of the heat pump in parallel with th... Read More about Operational performance of a novel heat pump coupled with mini-channel PV/T and thermal panel in low solar radiation.

Performance evaluation and design for variable threshold alarm systems through semi-Markov process (2019)
Journal Article
Aslansefat, K., Bahar Gogani, M., Kabir, S., Shoorehdeli, M. A., & Yari, M. (in press). Performance evaluation and design for variable threshold alarm systems through semi-Markov process. ISA Transactions, https://doi.org/10.1016/j.isatra.2019.08.015

In large industrial systems, alarm management is one of the most important issues to improve the safety and efficiency of systems in practice. Operators of such systems often have to deal with a numerous number of simultaneous alarms. Different kinds... Read More about Performance evaluation and design for variable threshold alarm systems through semi-Markov process.

Variability management in safety-critical systems design and dependability analysis (2019)
Journal Article
de Oliveira, A. L., Braga, R., Masiero, P., Parker, D., Papadopoulos, Y., Habli, I., & Kelly, T. (2019). Variability management in safety-critical systems design and dependability analysis. Journal of software : evolution and process, 31(8), Article e2202. https://doi.org/10.1002/smr.2202

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. For the benefits of large-scale reuse, software product lines (SPL) hav... Read More about Variability management in safety-critical systems design and dependability analysis.

Ensemble multiboost based on ripper classifier for prediction of imbalanced software defect data (2019)
Journal Article
He, H., Zhang, X., Wang, Q., Ren, J., Liu, J., Zhao, X., & Cheng, Y. (2019). Ensemble multiboost based on ripper classifier for prediction of imbalanced software defect data. IEEE Access, 7, 110333-110343. https://doi.org/10.1109/ACCESS.2019.2934128

Identifying defective software entities is essential to ensure software quality during software development. However, the high dimensionality and class distribution imbalance of software defect data seriously affect software defect prediction perform... Read More about Ensemble multiboost based on ripper classifier for prediction of imbalanced software defect data.

A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation (2019)
Journal Article
Lan, Y., Zhou, Y., Lu, Y., Wang, H., Liu, Q., Ng, E. Y. K., Peng, Y., Hao, Y., Liu, Q., Chen, F., Cheng, Y., & Che, W. (2019). A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation. IEEE Access, 7, 112564-112571. https://doi.org/10.1109/ACCESS.2019.2934155

Coronary artery disease has emerged as one of the major diseases causing death worldwide. Coronary stent has great effect to improve blood flow to the myocardium subtended by that artery, in which bioresorbable vascular scaffolds are new-generation s... Read More about A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation.

Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks (2019)
Journal Article
Zhou, W., Jia, J., Huang, C., & Cheng, Y. (2020). Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks. Tsinghua Science and Technology, 25(1), 93-102. https://doi.org/10.26599/TST.2018.9010113

With the rapid development of Web3D technologies, sketch-based model retrieval has become an increasingly important challenge, while the application of Virtual Reality and 3D technologies has made shape retrieval of furniture over a web browser feasi... Read More about Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks.

DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values (2019)
Journal Article
Wang, Q., Cao, W., Guo, J., Ren, J., Cheng, Y., & Davis, D. N. (2019). DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values. IEEE Access, 7, 102232-102238. https://doi.org/10.1109/ACCESS.2019.2929866

© 2019 Institute of Electrical and Electronics Engineers Inc.. All rights reserved. As a widely known chronic disease, diabetes mellitus is called a silent killer. It makes the body produce less insulin and causes increased blood sugar, which leads t... Read More about DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values.