Outputs (32)

A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection (2018)
Conference Proceeding
Yu, Z., Yang, S., Zhou, K., & Aggoun, A. (2019). A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection. In Advances in Computational Intelligence Systems: Contributions Presented at the 18th UK Workshop on Computational Intelligence (169-178). https://doi.org/10.1007/978-3-319-97982-3_14

In this paper, we aim to develop a low-computational system for real-time image processing and analysis in endoscopy images for the early detection of the human esophageal adenocarcinoma and colorectal cancer. Rich statistical features are used to tr... Read More about A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection.

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.

A single chip system for sensor data fusion based on a Drift-diffusion model (2018)
Conference Proceeding
Yang, S., Wong-Lin, K., Rano, I., & Lindsay, A. (2018). A single chip system for sensor data fusion based on a Drift-diffusion model. In 2017 Intelligent Systems Conference (IntelliSys). https://doi.org/10.1109/intellisys.2017.8324291

Current multisensory system face data communication overhead in integrating disparate sensor data to build a coherent and accurate global phenomenon. We present here a novel hardware and software co-design platform for a heterogeneous data fusion sol... Read More about A single chip system for sensor data fusion based on a Drift-diffusion model.

Towards a scalable hardware/software co-design platform for real-time pedestrian tracking based on a ZYNQ-7000 device (2018)
Conference Proceeding
Yu, W., Yang, S., Sillitoe, I., & Buckley, K. (2018). Towards a scalable hardware/software co-design platform for real-time pedestrian tracking based on a ZYNQ-7000 device. . https://doi.org/10.1109/icce-asia.2017.8307853

Currently, most designers face a daunting task to research different design flows and learn the intricacies of specific software from various manufacturers in hardware/software co-design. An urgent need of creating a scalable hardware/software co-des... Read More about Towards a scalable hardware/software co-design platform for real-time pedestrian tracking based on a ZYNQ-7000 device.

Interactive Reading Using Low Cost Brain Computer Interfaces (2017)
Conference Proceeding
Loizides, F., Naughton, L., Wilson, P., Loizou, M., Yang, S., Hartley, T., …Zaphiris, P. (2017). Interactive Reading Using Low Cost Brain Computer Interfaces. In Human-Computer Interaction – INTERACT 2017 Proceedings, Part IV (450-454). https://doi.org/10.1007/978-3-319-68059-0_49

This work shows the feasibility for document reader user applications using a consumer grade non-invasive BCI headset. Although Brain Computer Interface (BCI) type devices are beginning to aim at the consumer level, the level at which they can actual... Read More about Interactive Reading Using Low Cost Brain Computer Interfaces.

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.

Modelling nanoplasmonic device based on an off-shelf hybrid desktop supercomputing platform (2013)
Conference Proceeding
Yang, S., Li, R., & Hillenbrand, D. (2013). Modelling nanoplasmonic device based on an off-shelf hybrid desktop supercomputing platform. In 2013 13th IEEE International Conference on Nanotechnology (IEEE-NANO 2013). https://doi.org/10.1109/nano.2013.6720891

Designing nanoplasmonic devices presents a number of unique challenges. The time domain modelling and simulation of electromagnetic (EM) wave interaction with nanoplasmonic devices, at high spatial and time resolution, requires high computational pow... Read More about Modelling nanoplasmonic device based on an off-shelf hybrid desktop supercomputing 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.