All Outputs (639)

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). Cham: 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.

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.

Modeling and Robust Control of Twin Rotor MIMO System (2019)
Conference Proceeding
Shah, S. H., Khan, S. G., Iqbal, J., & Alharthi, M. (2019). Modeling and Robust Control of Twin Rotor MIMO System. In International Conference on Robotics and Automation in Industry (ICRAI). https://doi.org/10.1109/ICRAI47710.2019.8967355

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., …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.

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., …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.

A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process (2019)
Journal Article
Aslansefat, K., & Latif-Shabgahi, G. (2020). A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process. IEEE Transactions on Reliability, 69(3), 986-1003. https://doi.org/10.1109/tr.2019.2923893

Dynamic fault tree (DFT) is a top-down deductive technique extended to model systems with complex failure behaviors and interactions. In two last decades, different methods have been applied to improve its capabilities, such as computational complexi... Read More about A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process.

Interpretable emotion recognition using EEG signals (2019)
Journal Article
Qing, C., Qiao, R., Xu, X., & Cheng, Y. (2019). Interpretable emotion recognition using EEG signals. IEEE Access, 7, 94160-94170. https://doi.org/10.1109/ACCESS.2019.2928691

Electroencephalogram (EEG) signal-based emotion recognition has attracted wide interests in recent years and has been broadly adopted in medical, affective computing, and other relevant fields. However, the majority of the research reported in this f... Read More about Interpretable emotion recognition using EEG signals.

Smart, social, flexible and fun: Escaping the flatlands of virtual learning environments (2019)
Journal Article
Brayshaw, M., Gordon, N. A., & Grey, S. (2019). Smart, social, flexible and fun: Escaping the flatlands of virtual learning environments. Advances in Intelligent Systems and Computing, 998, 1047-1060. https://doi.org/10.1007/978-3-030-22868-2_70

© 2019, Springer Nature Switzerland AG. This paper describes the development of intelligent, social, flexible and game-based pedagogic approaches and their applications in Virtual Learning Environment based Education. Applications of computer science... Read More about Smart, social, flexible and fun: Escaping the flatlands of virtual learning environments.

A clustering based transfer function for volume rendering using gray-gradient mode histogram (2019)
Journal Article
Lan, Y., Ding, Y., Luo, X., Zhang, Y., Huang, C., Ng, E. Y., …Che, W. (2019). A clustering based transfer function for volume rendering using gray-gradient mode histogram. IEEE Access, 7, 80737-80747. https://doi.org/10.1109/ACCESS.2019.2923080

Volume rendering is an emerging technique widely used in the medical field to visualize human organs using tomography image slices. In volume rendering, sliced medical images are transformed into attributes, such as color and opacity through transfer... Read More about A clustering based transfer function for volume rendering using gray-gradient mode histogram.

High precision implicit modeling for patient-specific coronary arteries (2019)
Journal Article
Hong, Q., Li, Q., Wang, B., Liu, K., & Qi, Q. (2019). High precision implicit modeling for patient-specific coronary arteries. IEEE Access, 7, 72020-72029. https://doi.org/10.1109/ACCESS.2019.2920113

High precision geometric reconstruction of patient-specific coronary arteries plays a crucial role in visual diagnosis, treatment decision-making, and the evaluation of the therapeutic effect of interventions in coronary artery diseases. It is also a... Read More about High precision implicit modeling for patient-specific coronary arteries.

A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth (2019)
Journal Article
Pinheiro, M., Ma, X., Fagan, M. J., McIntyre, G. T., Lin, P., Sivamurthy, G., & Mossey, P. A. (2019). A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth. Journal of Biological Engineering, 13(1), https://doi.org/10.1186/s13036-019-0171-6

© 2019 The Author(s). Background: Cephalometric analysis is used to evaluate facial growth, to study the anatomical relationships within the face. Cephalometric assessment is based on 2D radiographic images, either the sagittal or coronal planes and... Read More about A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth.

Modern control laws for an articulated robotic arm: Modeling and simulation (2019)
Journal Article
Iqbal, J. (2019). Modern control laws for an articulated robotic arm: Modeling and simulation. Engineering, Technology and Applied Science Research, 9(2), 4057-4061. https://doi.org/10.48084/etasr.2598

The robotic manipulator has become an integral component of modern industrial automation. The current paper deals with the mathematical modeling and non-linear control of this manipulator. DH-parameters are used to derive kinematic model while the dy... Read More about Modern control laws for an articulated robotic arm: Modeling and simulation.