All Outputs (71)

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.

Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data (2018)
Journal Article
Yu, K., Liu, Y., Qing, L., Wang, B., & Cheng, Y. (2018). Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data. IEEE Access, 6, 37568-37580. https://doi.org/10.1109/ACCESS.2018.2852008

With the rapid development of wireless communication and mobile Internet, mobile phone becomes ubiquitous and functions as a versatile and smart system, on which people frequently interact with various mobile applications (Apps). Understanding human... Read More about Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data.

Advanced sliding mode control techniques for Inverted Pendulum: Modelling and simulation (2018)
Journal Article
Irfan, S., Mehmood, A., Razzaq, M. T., & Iqbal, J. (2018). Advanced sliding mode control techniques for Inverted Pendulum: Modelling and simulation. Engineering Science and Technology : an International Journal, 21(4), 753-759. https://doi.org/10.1016/j.jestch.2018.06.010

Numerous practical applications like robot balancing, segway and hover board riding and operation of a rocket propeller are inherently based on Inverted Pendulum (IP). The control of an IP is a sophisticated problem due to various real world phenomen... Read More about Advanced sliding mode control techniques for Inverted Pendulum: Modelling and simulation.

P-CSREC: A New Approach for Personalized Cloud Service Recommendation (2018)
Journal Article
Zhang, C., Li, Z., Li, T., Han, Y., Wei, C., Cheng, Y., & Peng, Y. (2018). P-CSREC: A New Approach for Personalized Cloud Service Recommendation. IEEE Access, 6, 35946-35956. https://doi.org/10.1109/ACCESS.2018.2847631

It is becoming a challenging issue for users to choose a satisfied service to fit their need due to the rapid growing number of cloud services and the vast amount of service type varieties. This paper proposes an effective cloud service recommendatio... Read More about P-CSREC: A New Approach for Personalized Cloud Service Recommendation.

Taxi model of unmanned aerial vehicle: Formulation and simulation (2018)
Presentation / Conference Contribution
Wasim, M., Ullah, M., & Iqbal, J. (2018). Taxi model of unmanned aerial vehicle: Formulation and simulation. In 2018 1st International Conference on Power, Energy and Smart Grid (ICPESG). https://doi.org/10.1109/ICPESG.2018.8384506

Unmanned Aerial Vehicles cannot work efficiently without a control system. Before any form of control is applied to it, modeling of the system is necessary. This work focuses on the development of a Taxi model of UAV. The reformulated model has been... Read More about Taxi model of unmanned aerial vehicle: Formulation and simulation.

Lightweight and privacy-preserving two-factor authentication scheme for IoT devices (2018)
Journal Article
Gope, P., & Sikdar, B. (2019). Lightweight and privacy-preserving two-factor authentication scheme for IoT devices. IEEE internet of things journal, 6(1), 580 - 589. https://doi.org/10.1109/JIOT.2018.2846299

Device authentication is an essential security feature for Internet of Things (IoT). Many IoT devices are deployed in the open and public places, which makes them vulnerable to physical and cloning attacks. Therefore, any authentication protocol desi... Read More about Lightweight and privacy-preserving two-factor authentication scheme for IoT devices.

Uncertainty-aware dynamic reliability analysis framework for complex systems (2018)
Journal Article
Kabir, S., Yazdi, M., Aizpurua, J. I., & Papadopoulos, Y. (2018). Uncertainty-aware dynamic reliability analysis framework for complex systems. IEEE Access, 6, Article ACCESS2843166. https://doi.org/10.1109/ACCESS.2018.2843166

Critical technological systems exhibit complex dynamic characteristics such as time-dependent behaviour, functional dependencies among events, sequencing and priority of causes that may alter the effects of failure. Dynamic fault trees (DFTs) have be... Read More about Uncertainty-aware dynamic reliability analysis framework for complex systems.

Privacy-aware authenticated key agreement scheme for secure smart grid communication (2018)
Journal Article
Gope, P., & Sikdar, B. (2019). Privacy-aware authenticated key agreement scheme for secure smart grid communication. IEEE transactions on smart grid, 10(4), 3953 - 3962. https://doi.org/10.1109/TSG.2018.2844403

Information and Communication Technologies (ICT) are one of the underpinning platforms of smart grids, facilitating efficient grid management and operation, optimization of resource utilization, as well as enable new products, features, and services.... Read More about Privacy-aware authenticated key agreement scheme for secure smart grid communication.

Prior knowledge-based deep learning method for indoor object recognition and application (2018)
Journal Article
Ding, X., Luo, Y., Li, Q., Cheng, Y., Cai, G., Munnoch, R., Xue, D., Yu, Q., Zheng, X., & Wang, B. (2018). Prior knowledge-based deep learning method for indoor object recognition and application. Systems Science and Control Engineering, 6(1), 249-257. https://doi.org/10.1080/21642583.2018.1482477

Indoor object recognition is a key task for indoor navigation by mobile robots. Although previous work has produced impressive results in recognizing known and familiar objects, the research of indoor object recognition for robot is still insufficien... Read More about Prior knowledge-based deep learning method for indoor object recognition and application.

A review of applications of fuzzy sets to safety and reliability engineering (2018)
Journal Article
Kabir, S., & Papadopoulos, Y. (2018). A review of applications of fuzzy sets to safety and reliability engineering. International Journal of Approximate Reasoning, 100, 29-55. https://doi.org/10.1016/j.ijar.2018.05.005

Safety and reliability are rigorously assessed during the design of dependable systems. Probabilistic risk assessment (PRA) processes are comprehensive, structured and logical methods widely used for this purpose. PRA approaches include, but not limi... Read More about A review of applications of fuzzy sets to safety and reliability engineering.

A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum (2018)
Journal Article
Huang, C., Zhou, W., Lan, Y., Chen, F., Hao, Y., Cheng, Y., & Peng, Y. (2018). A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum. IEEE Access, 6, 27726-27735. https://doi.org/10.1109/ACCESS.2018.2840494

With the arrival of the Web 2.0 era and the rapid development of virtual reality (VR) technology in recent years, WebVR technology has emerged as the combination of Web 2.0 and VR. Moreover, the concept of “WebVR + medical science”is also proposed to... Read More about A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum.

Cases of energy system in a green building in UK (2018)
Book Chapter
Zhao, X., Ma, X., Xu, P., Thierno, D., Zhu, Z., & Zhou, J. (2018). Cases of energy system in a green building in UK. In R. Wang, & X. Zhai (Eds.), Handbook of Energy Systems in Green Buildings (1741-1794). Springer. https://doi.org/10.1007/978-3-662-49120-1_15

© Springer Nature Singapore Pte Ltd. 2018. This chapter gives an overview of the current development of the indirect evaporative cooling technologies, PV and PV/T solar energy systems, natural ventilation systems, heat recovery systems, and low-energ... Read More about Cases of energy system in a green building in UK.

A new framework for the integrative analytics of intravascular ultrasound and optical coherence tomography images (2018)
Journal Article
Huang, C., Xie, Y., Lan, Y., Hao, Y., Chen, F., Cheng, Y., & Peng, Y. (2018). A new framework for the integrative analytics of intravascular ultrasound and optical coherence tomography images. IEEE Access, 6, 36408-36419. https://doi.org/10.1109/ACCESS.2018.2839694

Abstract:
The integrative analysis of multimodal medical images plays an important role in the diagnosis of coronary artery disease by providing additional comprehensive information that cannot be found in an individual source image. Intravascular ul... Read More about A new framework for the integrative analytics of intravascular ultrasound and optical coherence tomography images.

Towards realizing robotic potential in future intelligent food manufacturing systems (2018)
Journal Article
Khan, Z. H., Khalid, A., & Iqbal, J. (2018). Towards realizing robotic potential in future intelligent food manufacturing systems. Innovative Food Science and Emerging Technologies, 48, 11-24. https://doi.org/10.1016/j.ifset.2018.05.011

This paper provides a comprehensive review of the robotic potential that is foreseen by researchers in designing future food manufacturing plant. The present day food handling and packaging setup is limited in capacity and output due to manual proces... Read More about Towards realizing robotic potential in future intelligent food manufacturing systems.

Constraints and autonomy for creativity in extracurricular gamejams and curricular assessment (2018)
Journal Article
Grey, S., Parker, D., & Gordon, N. (2018). Constraints and autonomy for creativity in extracurricular gamejams and curricular assessment. Research in Learning Technology, 26, Article 2023. https://doi.org/10.25304/rlt.v26.2023

The engagement observed by the players of the games that they play is a desirable quality that has not gone unnoticed in the field of education, leading to concepts such as gamification of education, game-based learning and serious games for training... Read More about Constraints and autonomy for creativity in extracurricular gamejams and curricular assessment.

An efficient data aggregation scheme for privacy-friendly dynamic pricing-based billing and demand-response management in smart grids (2018)
Journal Article
Gope, P., & Sikdar, B. (2018). An efficient data aggregation scheme for privacy-friendly dynamic pricing-based billing and demand-response management in smart grids. IEEE internet of things journal, 5(4), 3126-3135. https://doi.org/10.1109/JIOT.2018.2833863

Smart grids take advantage of information and communication technologies to achieve energy efficiency, automation and reliability. These systems allow two-way communications and power flow between the grid and consumers. However, these bidirectional... Read More about An efficient data aggregation scheme for privacy-friendly dynamic pricing-based billing and demand-response management in smart grids.

Timaeus: A digital art studio inspired by antiquity (2018)
Journal Article
Torrao, L., Papadopoulos, Y., & Mckie, D. (2018). Timaeus: A digital art studio inspired by antiquity. Generative art science and technology hard journal,

This project was motivated as an exploration of the capabilities provided by new digital media for creativity, art creation and art therapy. In the ancient Greek world, téchnē, the word for art, used to refer to both art and technology. The expressio... Read More about Timaeus: A digital art studio inspired by antiquity.