Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions

Hong, Qingqi; Li, Qingde; Wang, Beizhan; Liu, Kunhong; Lin, Fan; Lin, Juncong; Cheng, Xuan; Zhang, Zhihong; Zeng, Ming

doi:10.1016/j.cagd.2018.03.006

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., …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.

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.

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.

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.

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.

Lightweight and Practical Anonymous Authentication Protocol for RFID systems using physically unclonable functions (2018)
Journal Article
Gope, P., Lee, J., & Quek, T. Q. (2018). Lightweight and Practical Anonymous Authentication Protocol for RFID systems using physically unclonable functions. IEEE transactions on information forensics and security, 13(11), 2831-2843. https://doi.org/10.1109/TIFS.2018.2832849

Radio frequency identification (RFID) has been considered one of the imperative requirements for implementation of Internet-of-Things applications. It helps to solve the identification issues of the things in a cost-effective manner, but RFID systems... Read More about Lightweight and Practical Anonymous Authentication Protocol for RFID systems using physically unclonable functions.

Analysis of an iterated greedy heuristic for vertex clique covering (2018)
Journal Article
Chalupa, D., & Pospíchal, J. (2018). Analysis of an iterated greedy heuristic for vertex clique covering. Computing and Informatics, 37(2), 385-404. https://doi.org/10.4149/cai_2018_2_385

The aim of the vertex clique covering problem (CCP) is to cover the vertices of a graph with as few cliques as possible. We analyse the iterated greedy (IG) algorithm for CCP, which was previously shown to provide strong empirical results for real-wo... Read More about Analysis of an iterated greedy heuristic for vertex clique covering.

A systems engineering approach to find the solution of the lubricant compromise for the wind turbine gear box (2018)
Journal Article
Usman, M., & Iqbal, J. (2018). A systems engineering approach to find the solution of the lubricant compromise for the wind turbine gear box. NFC-IEFR Journal of Engineering and Scientific Research, 6(1), 89-97

Recent advancements in the field of systems engineering has broadened the horizon of its applications in handling complex systems. In the author’s previous work it has been shown that the low reliability and maintainability of the wind turbine is cau... Read More about A systems engineering approach to find the solution of the lubricant compromise for the wind turbine gear box.

Hybrid Bridge-Based Memetic Algorithms for Finding Bottlenecks in Complex Networks (2018)
Journal Article
Chalupa, D., Hawick, K., & Walker, J. (2018). Hybrid Bridge-Based Memetic Algorithms for Finding Bottlenecks in Complex Networks. Big Data Research, 14, 68-80. https://doi.org/10.1016/j.bdr.2018.04.001

We propose a memetic approach to find bottlenecks in complex networks based on searching for a graph partitioning with minimum conductance. Finding the optimum of this problem, also known in statistical mechanics as the Cheeger constant, is one of th... Read More about Hybrid Bridge-Based Memetic Algorithms for Finding Bottlenecks in Complex Networks.

An overview of the approaches for automotive safety integrity levels allocation (2018)
Journal Article
Gheraibia, Y., Kabir, S., Djafri, K., & Krimou, H. (2018). An overview of the approaches for automotive safety integrity levels allocation. Journal of failure analysis and prevention, 18(3), 707-720. https://doi.org/10.1007/s11668-018-0466-9

ISO 26262, titled Road Vehicles–Functional Safety, is the new automotive functional safety standard for passenger vehicle industry. In order to accomplish the goal of designing and developing dependable automotive systems, ISO 26262 uses the concept... Read More about An overview of the approaches for automotive safety integrity levels allocation.

Model-based assessment of energy-efficiency, dependability, and cost-effectiveness of waste heat recovery systems onboard ship (2018)
Journal Article
Lampe, J., Rüde, E., Papadopoulos, Y., & Kabir, S. (2018). Model-based assessment of energy-efficiency, dependability, and cost-effectiveness of waste heat recovery systems onboard ship. Ocean engineering, 157, 234-250. https://doi.org/10.1016/j.oceaneng.2018.03.062

Technological systems are not merely designed with a narrow function in mind. Good designs typically aim at reducing operational costs, e.g. through achieving high energy efficiency and improved dependability (i.e. reliability, availability and maint... Read More about Model-based assessment of energy-efficiency, dependability, and cost-effectiveness of waste heat recovery systems onboard ship.

CDA: A clustering degree based influential spreader identification algorithm in weighted complex network (2018)
Journal Article
Wang, Q., Ren, J., Wang, Y., Zhang, B., Cheng, Y., & Zhao, X. (2018). CDA: A clustering degree based influential spreader identification algorithm in weighted complex network. IEEE Access, 6, 19550-19559. https://doi.org/10.1109/ACCESS.2018.2822844

Identifying the most influential spreaders in a weighted complex network is vital for optimizing utilization of the network structure and promoting the information propagation. Most existing algorithms focus on node centrality, which consider more co... Read More about CDA: A clustering degree based influential spreader identification algorithm in weighted complex network.

A Study of Automatic Allocation of Automotive Safety Requirements in Two Modes: Components and Failure Modes (2018)
Journal Article
Parker, D., Godof, A., Papadopoulos, Y., & Saintis, L. (2018). A Study of Automatic Allocation of Automotive Safety Requirements in Two Modes: Components and Failure Modes. SAE Technical Papers, 2018-April, https://doi.org/10.4271/2018-01-1076

ISO 26262 describes a safety engineering approach in which the safety of a system is considered from the early stages of design through a process of elicitation and allocation of system safety requirements. These are expressed as automotive safety in... Read More about A Study of Automatic Allocation of Automotive Safety Requirements in Two Modes: Components and Failure Modes.

Security feature measurement for frequent dynamic execution paths in software system (2018)
Journal Article
Wang, Q., Ren, J., Yang, X., Cheng, Y., Davis, D. N., & Hu, C. (2018). Security feature measurement for frequent dynamic execution paths in software system. Security and communication networks, 2018, 1-10. https://doi.org/10.1155/2018/5716878

© 2018 Qian Wang et al. The scale and complexity of software systems are constantly increasing, imposing new challenges for software fault location and daily maintenance. In this paper, the Security Feature measurement algorithm of Frequent dynamic e... Read More about Security feature measurement for frequent dynamic execution paths in software system.

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions (2018)
Journal Article
Hong, Q., Li, Q., Wang, B., Liu, K., Lin, F., Lin, J., …Zeng, M. (2018). Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions. Computer aided geometric design, 62, 206-216. https://doi.org/10.1016/j.cagd.2018.03.006

Accurate vascular geometry modeling is an essential task in computer assisted vascular surgery and therapy. This paper presents a vessel cross-section based implicit vascular modeling technique, which represents a vascular surface as a set of locally... Read More about Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions.

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