View and shape invariant modeling of human actions for smart surveillance. This project aims to enable surveillance cameras to interpret videos and detect unexpected activity in real time. Existing surveillance cameras are unable to interpret videos. Because most are not monitored in real time, they play no role in improving security response time. The project plans to develop algorithms to detect actions from any camera viewpoint in continuous videos, a capability that is imperative for smart s ....View and shape invariant modeling of human actions for smart surveillance. This project aims to enable surveillance cameras to interpret videos and detect unexpected activity in real time. Existing surveillance cameras are unable to interpret videos. Because most are not monitored in real time, they play no role in improving security response time. The project plans to develop algorithms to detect actions from any camera viewpoint in continuous videos, a capability that is imperative for smart surveillance yet missing in current techniques. This would improve security and safety response time to events that need immediate attention, such as crimes and medical emergencies, and offer autonomous aids to elderly care, smart homes, child minding, patient monitoring and post-trauma rehabilitation.Read moreRead less
The Influence of Fracture Network Topology on Fluid Flow in the Subsurface. This project focuses on developing methods for the simulation of fluid flow in fractured rock aquifers. Given the large computational requirements involved in modelling discretely fractured rock masses, scaling approaches are required to allow for simulation at field scales. The sensitivity of the scaling to the parameters describing the fracture network will be investigated. It is anticipated that the scaled function ....The Influence of Fracture Network Topology on Fluid Flow in the Subsurface. This project focuses on developing methods for the simulation of fluid flow in fractured rock aquifers. Given the large computational requirements involved in modelling discretely fractured rock masses, scaling approaches are required to allow for simulation at field scales. The sensitivity of the scaling to the parameters describing the fracture network will be investigated. It is anticipated that the scaled functional relationships will be quite network specific, and that the identification of the controls on the form of the scaling relationships will allow for the focussing of data acquisition to the most salient information, and will reduce the costs involved.Read moreRead less
Development of a prime-boost anti-cancer vaccine. New vaccination strategies are urgently needed for a variety of diseases, including cancer. The problem with cancer vaccines is that it is difficult to trigger a response to a self protein. We propose that a prime-boost vaccination, using yellow fever virus and modified vaccinia virus ankara, could create very strong responses against tumor antigens. This approach can be patented and can revive that field of tumor vaccination, which is currently ....Development of a prime-boost anti-cancer vaccine. New vaccination strategies are urgently needed for a variety of diseases, including cancer. The problem with cancer vaccines is that it is difficult to trigger a response to a self protein. We propose that a prime-boost vaccination, using yellow fever virus and modified vaccinia virus ankara, could create very strong responses against tumor antigens. This approach can be patented and can revive that field of tumor vaccination, which is currently restrained by the difficulty of breaking immunological tolerance. We envisage the construction of a anti-cancer vaccine vector with obvious market potential. An exciting prospect is that this approach could be used as a prophylactic vaccine and possibly also as a therapeutic vaccine.Read moreRead less