Intelligent Resource Constrained Systems
Embedded systems used in sensing, internet of things, wearables and robotics are typically resource constrained. Constraints can include computational power and memory, but typically, the key constraint is power. This is especially the case in battery powered or energy-harvesting devices, where the aim is to provide intelligent signal processing whilst respecting these constraints. In this activity, we investigate how to optimize algorithms and data processing to use fewer resources, without adversely affecting performance. Applications include health, environmental sensing and continuous positioning.
Distilling Knowledge From a Deep Pose Regressor Network
Muhamad Risqi U. Saputra Pedro P. B. de Gusmao Yasin Almalioglu Andrew Markham and Niki Trigoni
In IEEE/CVF International Conference on Computer Vision (ICCV). 2019.
The Cougar Project: A Work−In−Progress Report
Alan Demers‚ Johannes Gehrke‚ Rajmohan Rajaraman‚ Niki Trigoni and Yong Yao.
In ACM SIGMOD Record. Vol. 34. No. 4. December, 2003.
Energy−Efficient Data Management for Sensor Networks: A Work−In−Progress Report
Alan Demers‚ Johannes Gehrke‚ Rajmohan Rajaraman‚ Niki Trigoni and Yong Yao
In 2nd IEEE Upstate New York Workshop on Sensor Networks. 2003.