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Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images (2018)
Journal Article
Chen, W., Yang, Z., Cao, F., Yan, Y., Wang, M., Qing, C., & Cheng, Y. (2018). Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images. IET Image Processing, doi:10.1049/iet-ipr.2018.5419

Dimensionality reduction is of high importance in hyperspectral data processing, which can effectively reduce the data redundancy and computation time for improved classification accuracy. Band selection and feature extraction methods are two widely... Read More

An adaptive ensemble approach to ambient intelligence assisted people search (2018)
Journal Article
Xue, D., Wang, X., Zhu, J., Davis, D., Wang, B., Zhao, W., …Cheng, Y. (2018). An adaptive ensemble approach to ambient intelligence assisted people search. Applied System Innovation, 1(3), doi:10.3390/asi1030033

Some machine learning algorithms have shown a better overall recognition rate for facial 11 recognition than humans, provided that the models are trained with massive image databases of 12 human faces. However, it is still a challenge to use existing... Read More

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., …Peng, Y. (2018). A hybrid active contour segmentation method for myocardial D-SPECT images. IEEE access : practical innovations, open solutions, 6, 39334-39343. doi: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

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 : practical innovations, open solutions, 6, 37568-37580. doi: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

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 : practical innovations, open solutions, 6, 35946-35956. doi: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

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. doi: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

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. doi: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

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 : practical innovations, open solutions, 6, 27726-27735. doi: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

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 : practical innovations, open solutions, 6, 36408-36419. doi: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

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 : practical innovations, open solutions, 6, 19550-19559. doi: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

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. doi: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

An Empirical study on Predicting Blood Pressure using Classification and Regression Trees (2018)
Journal Article
Zhang, B., Wei, Z., Ren, J., Cheng, Y., & Zheng, Z. (2018). An Empirical study on Predicting Blood Pressure using Classification and Regression Trees. IEEE access : practical innovations, open solutions, 6, 21758 - 21768. doi:10.1109/access.2017.2787980

Blood pressure diseases have become one of the major threats to human health. Continuous measurement of blood pressure has proven to be a prerequisite for effective incident prevention. In contrast with the traditional prediction models with low meas... Read More

An algorithm for fast mining top-rank-k frequent patterns based on node-list data structure (2017)
Journal Article
Wang, Q., Ren, J., N Davis, D., & Cheng, Y. (2017). An algorithm for fast mining top-rank-k frequent patterns based on node-list data structure. Intelligent Automation and Soft Computing, 24(2), 399-404. doi:10.1080/10798587.2017.1340135

Frequent pattern mining usually requires much run time and memory usage. In some applications, only the patterns with top frequency rank are needed. Because of the limited pattern numbers, quality of the results is even more important than time and m... Read More

Analysis of the EPSRC Principles of Robotics in regard to key research topics (2017)
Journal Article
Cheng, Y., Davis, D. N., Robinson, P., & Gning, A. (2017). Analysis of the EPSRC Principles of Robotics in regard to key research topics. Connection Science, 29(3), (249-253). doi:10.1080/09540091.2017.1323456. ISSN 0954-0091

© 2017 Informa UK Limited, trading as Taylor & Francis Group. In this paper, we review the five rules published in EPSRC Principles of Robotics with a specific focus on future robotics research topics. It is demonstrated through a pictorial represe... Read More

Unfalsified visual servoing for simultaneous object recognition and pose tracking (2016)
Journal Article
Cheng, Y., Feng, Z., Jiang, P., & Wang, X. (2016). Unfalsified visual servoing for simultaneous object recognition and pose tracking. IEEE Transactions on Cybernetics, 46(12), (3032-3046). doi:10.1109/TCYB.2015.2495157. ISSN 2168-2267

In a complex environment, simultaneous object recognition and tracking has been one of the challenging topics in computer vision and robotics. Current approaches are usually fragile due to spurious feature matching and local convergence for pose dete... Read More

Technology demonstrator of a novel software defined radio-based aeronautical communications system (2014)
Journal Article
Cheng, Y., Xu, K., Hu, Y. F., Pillai, P., Baddoo, J., Smith, A., …Pillai, A. (2014). Technology demonstrator of a novel software defined radio-based aeronautical communications system. IET science, measurement & technology, 8(6), 370-379. doi:10.1049/iet-smt.2014.0003

This study presents the architectural design, software implementation, the validation and flight trial results of an aeronautical communications system developed within the Seamless Aeronautical Networking through integration of Data links Radios and... Read More

Flight trial demonstration of seamless aeronautical networking (2014)
Journal Article
Plass, S., Hermenier, R., Lücke, O., Depoorter, D. G., Tordjman, T., Chatterton, M., …Zaytsev, A. (2014). Flight trial demonstration of seamless aeronautical networking. IEEE Communications Magazine, 52(5), 119-128. doi:10.1109/MCOM.2014.6815902

This article presents the in-flight demonstration of a new integrated aircraft communications system combining legacy and future radio technologies. This system, developed and validated under real environmental conditions during flight trials, integr... Read More

A snake-based scheme for path planning and control with constraints by distributed visual sensors (2013)
Journal Article
Cheng, Y., Hu, Y. F., & Jiang, P. (2014). A snake-based scheme for path planning and control with constraints by distributed visual sensors. Robotica, 32(4), (477-499). doi:10.1017/S0263574713000805. ISSN 0263-5747

This paper proposes a robot navigation scheme using wireless visual sensors deployed in an environment. Different from the conventional autonomous robot approaches, the scheme intends to relieve massive on-board information processing required by a r... Read More