Outputs (21)

A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life (2019)
Journal Article
Abdur Rahman, M., Rashid, M. M., Le Kernec, J., Philippe, B., Barnes, S. J., Fioranelli, F., …Imran, M. (2019). A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life. Sensors, 19(23), Article 5258. https://doi.org/10.

Once diagnosed with cancer, a patient goes through a series of diagnosis and tests, which are referred to as “after cancer treatment”. Due to the nature of the treatment and side effects, maintaining quality of life (QoL) in the home environment is a... Read More about A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life.

Radar sensing for healthcare: Associate Editor Francesco Fioranelli on the applications of radar in monitoring vital signs and recognising human activity patterns (2019)
Journal Article
Fioranelli, D. F., Shah, D. S. A., Li1, H., Shrestha, A., Yang, D. S., & Kernec, D. J. L. (2019). Radar sensing for healthcare: Associate Editor Francesco Fioranelli on the applications of radar in monitoring vital signs and recognising human activity pat

Although traditionally associated with defence and security domains, radar sensing has attracted significant interest in recent years in healthcare applications. These include the monitoring of vital signs such as respiration, heartbeat, and blood pr... Read More about Radar sensing for healthcare: Associate Editor Francesco Fioranelli on the applications of radar in monitoring vital signs and recognising human activity patterns.

A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks (2019)
Journal Article
Bassoy, S., Imran, M. A., Yang, S., & Tafazolli, R. (2019). A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks. IEEE Access, 7, 92693-92708. https://doi.org/10.1109/access.2019.2927093

Coordinated multi-point (CoMP) transmission is one of the key features for long term evolution advanced (LTE-A) and a promising concept for interference mitigation in 5th generation (5G) and beyond future densely deployed wireless networks. Due to th... Read More about A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks.

Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests (2018)
Journal Article
Lin, Y., Le Kernec, J., Yang, S., Fioranelli, F., Romain, O., & Zhao, Z. (2018). Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests. IEEE Sensors Journal, 1

The accurate classification of activity patterns based on radar signatures is still an open problem and is a key to detect anomalous behavior for security and health applications. This paper presents a novel iterative convolutional neural network str... Read More about Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests.

A Highly Integrated Hardware/Software Co-Design and Co-Verification Platform (2018)
Journal Article
Yang, S., & Yu, Z. (2019). A Highly Integrated Hardware/Software Co-Design and Co-Verification Platform. IEEE Design and Test, 36(1), 23-30. https://doi.org/10.1109/mdat.2018.2841029

This article presents a platform for hardware/software co-design and co-verification with a flexible hardware/software interface. The platform has been applied to verification of a pedestrian tracking application to demonstrate its effectiveness.

An intelligible implementation of FastSLAM2.0 on a low-power embedded architecture (2017)
Journal Article
Jiménez Serrata, A. A., Yang, S., & Li, R. (2017). An intelligible implementation of FastSLAM2.0 on a low-power embedded architecture. EURASIP Journal on Embedded Systems, 2017(1), Article 27 (2017). https://doi.org/10.1186/s13639-017-0075-9

The simultaneous localisation and mapping (SLAM) algorithm has drawn increasing interests in autonomous robotic systems. However, SLAM has not been widely explored in embedded system design spaces yet due to the limitation of processing recourses in... Read More about An intelligible implementation of FastSLAM2.0 on a low-power embedded architecture.

A neuro-inspired visual tracking method based on programmable system-on-chip platform (2017)
Journal Article
Yang, S., Wong-Lin, K., Andrew, J., Mak, T., & McGinnity, T. M. (2018). A neuro-inspired visual tracking method based on programmable system-on-chip platform. Neural Computing and Applications, 30(9), 2697-2708. https://doi.org/10.1007/s00521-017-2847-5

Using programmable system-on-chip to implement computer vision functions poses many challenges due to highly constrained resources in cost, size and power consumption. In this work, we propose a new neuro-inspired image processing model and implement... Read More about A neuro-inspired visual tracking method based on programmable system-on-chip platform.

Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications (2012)
Journal Article
Yang, S., McGinnity, T. M., & Wong-Lin, K. (2012). Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications. Frontiers in Neuroengineering, 5, https://doi.org/10.3389/fneng.2012.00010

Psychologists have studied the inhibitory control of voluntary movement for many years. In particular, the countermanding of an impending action has been extensively studied. In this work, we propose a neural mechanism for adaptive inhibitory control... Read More about Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications.

A case for spiking neural network simulation based on configurable multiple-FPGA systems (2011)
Journal Article
Yang, S., Wu, Q., & Li, R. (2011). A case for spiking neural network simulation based on configurable multiple-FPGA systems. Cognitive Neurodynamics, 5(3), Article 301 (2011). https://doi.org/10.1007/s11571-011-9170-0

Recent neuropsychological research has begun to reveal that neurons encode information in the timing of spikes. Spiking neural network simulations are a flexible and powerful method for investigating the behaviour of neuronal systems. Simulation of t... Read More about A case for spiking neural network simulation based on configurable multiple-FPGA systems.

A Token-Managed Admission Control System for QoS Provision on a Best-Effort GALS Interconnect (2009)
Journal Article
Yang, S., Furber, S. B., Shi, Y., & Plana, L. A. (2009). A Token-Managed Admission Control System for QoS Provision on a Best-Effort GALS Interconnect. Fundamenta Informaticae, 95(1), 53-72. https://doi.org/10.3233/fi-2009-142

A Token-ManagedAdmission Control (TMAC) mechanism is introduced in order to provide efficient Quality-of-Service (QoS) support for different types of application on a best-effort Globally-Asynchronous Locally-Synchronous (GALS) interconnect fabric. T... Read More about A Token-Managed Admission Control System for QoS Provision on a Best-Effort GALS Interconnect.