E-passport reader/writer: An Implemetation of the ICAO specification for reading and writing Machine Readable Travel Documents (MRTDs) or e-passports. The project will develop an decoder/encoder application and test it with a variety of passports from different european countries. A comparative study of additional security techniques will also have to be carried out.
Collaborative filtering for RFID-tagged consumer products: An implementation of a shopping cart application using UHF RFID technology. Using the items placed in the smart shopping cart and related profile information stored on a network database, the task will be device and implement an appropriate recommendation systems using collaborative filtering techniques. Taken by Laleh Zangeneh.
Smoothing techniques for RFID data: This project will experiment with alternative smoothing techniques for data recorded via dense UHF RFID systems. It will examine the performance of alternative smoothing techniques including sliding window (used in the reference implementation), SMURF sampling (proposed by Jeffery, Garofalakis and Franklin) and hidden Markov chains via experimental implementations.
Google Earth mashup of sensor traces fromUrban Tapestries: This project will mash Google Earth and GPS-tagged sensor recordings tracks from the Urban Tapestries server, i.e. it will overlay data captured by the UT client (including the Feral Robot and Snout carnival constumes) on top of the relevant maps retrieved real-time from Google.
In-network signal processing of EEG in sensor networks: This project will extend Tiny OS functionality to provide in-network (i.e. at the sensor node) processing of Electro-encephalogram data to recognise specific conditions, e.g. identify onset of sleep or epileptic incident.
Chemical sensor networks: This project will develop the software components required for creating a chemical network sensor node based on the Smiths LCD mobile chemical multi-sensor. The selection of a suitable network node platfrom (e.g. tmote sky with Tiny OS or Gumstix with embedded linux) will also be part of the project.
In network Kalman filter implentation: This project will develop an in-network implementation of distributed data fusion using the Kalman filter. The technique will be implemented on Tiny OS using NesC, so some experience in this is required. Evaluation will be conducted by experimental studies.