This project addresses the challenge of developing effective and computational efficient inference and coordination algorithms in order to allow multiple mobile (and stationary) sensors to form agile teams such that they can efficiently represent, explore and search challenging, uncertain and dynamic environments. Working in collaboration with the University of Oxford, the project will combine fundamental theory, algorithms and methodologies from the fields of multi-agent systems, decentralised control and Bayesian inference to allow physically distributed autonomous sensors to make effective, timely and coordinated decisions.
We have developed a new method for writing of biomolecular patterns on silicon in sub-micron scales using the interference of light. In the first instance DNA patterned surfaces were fabricated. Covalent attachment of DNA oligonucleotides accessible towards hybridisation with a complementary sequence was achieved with very high density (one oligonucleotide per 16 nmò). Further development of the surface attachment chemistry has provided DNA modified patterned substrates for hybridisation with long DNA fragments.
The detection of low levels of cytokines in biological matrices is currently limiting for a range of research and clinical diagnostic applications. This is particularly true for our studies on the inflammation biology of the nervous system. The limiting factors for our studies are sensitivity, sample size and interference from complex proteins or molecules. We are developing optical waveguide sensor technology for cytokine detection and quantification. Our aim is to provide a sensitive, simple assay for the detection of cytokines to provide further evidence for the role of inflammatory proteins in neurological function.
The aim of the IBWiki project is to develop an initial public version of the Semantic Wiki part of the e-Framework Upper Level. The project will also work with a sister project (IBMap based at Manchester) developing the HILDA layer to ensure and plan future integration.
The projects objectives are to:
The overall aim of the EC Information and Communication Technologies FP7 DEPLOY Project is to make major advances in engineering methods for dependable systems through the deployment of formal engineering methods. Formal engineering methods enable greater mastery of complexity than found in traditional software engineering processes. It is the central role played by mechanically-analysed formal models throughout the system development flow that enables mastery of complexity.
As well as leading to big improvements in system dependability, greater mastery of complexity also leads to greater productivity by reducing the expensive test-debug-rework cycle and by facilitating increased reuse of software.
The work of the project will be driven by the tasks of achieving and evaluating industrial take-up, initially by DEPLOY's industrial partners, of DEPLOY's methods and tools, together with the necessary further research on methods and tools.
This programme will address the public health need to provide evidence for more rationally targeting antibiotics to those most likely to benefit and to develop better antibiotic and non-antibiotic strategies. Acute infections are the commonest conditions managed in primary care, and most people still receive an antibiotic despite limited evidence for their effectiveness. The overuse of antibiotics creates a major threat to the public health - antibiotic resistance. To move patient care forward we need to understand which patients are likely to suffer adversely when antibiotics are not given, assess the impact of infections and their treatment on quality of life, assess the effectiveness of alternative antibiotic prescribing strategies and non antibiotic approaches, and develop easily accessible information for patients. The role of ECS in this project is to develop the infrastructure to provide an interactive web based information system to the trial participants and collect statistics in manor that makes it easy for the researchers to collate and analyse the data.
The RoCiT project follows on from a number of previous projects (including FEAR - finite element analysis for cable ratings) and examines the methods used to derive current ratings for high voltage cables (132kV and above) installed in tunnels. Such installations are becoming increasingly desirable for the operators of power transmission networks, particularly for supplying power to densely populated urban areas. The project has developed improved circuit rating algorithms through removing limiting assumptions in the existing Electra 143 methodology, while making use of numerical modelling tools (including FEA/CFD analysis) and operational data from existing cable systems. This has led to a more flexible model which permits calculations where multiple different cable circuits, operating on different load cycles, exist within the same space. The results obtained assist cable engineers to provide the optimum current rating ratings for these expensive assets. Risk to the cable asset through overheating is minimised, but not at the expense of under utilising the cable circuit.
The use of virtually resistance-free superconducting windings in electrical machines is very attractive, since it offers the prospect of greatly reduced losses. The application of High Temperature Superconductors (HTS) greatly increases the economic appeal of these devices, since the cooling systems are simpler, and therefore cheaper and more reliable, than those required for low-temperature superconductors. Constant advances in superconductor technology have made it possible to obtain high-temperature superconducting tapes with increasing critical currents in lengths suitable for building electrical machines. These current densities are now much higher than those that can be used in a conventional winding; we expect to obtain a current density in excess of 50 A/mm2, whereas it is difficult to cool a copper winding if the current density exceeds 10 A/mm2. The E-J characteristic of superconductors is highly non-linear; if the current density is significantly below the critical current density, the electric field is negligible. In addition, the critical current is reduced in the presence of high B fields. For the HTS material used, this field dependence is highly anisotropic; the component of B normal to the face of the tape has a much greater effect than the other components. The much higher current density may allow the output power of the machine to be increased or its size and mass to be reduced. Alternatively, it may be used to allow a machine to be built with no rotor core, thereby reducing the mass of the machine and, in particular, that of the rotor. For the current project, we intend to build and test a synchronous generator with a high-temperature superconducting coreless rotor. A number of different design concepts have been considered. For each, some limited optimisation of the electromagnetic performance has been done using a commercially available finite element (FE) package. In all the designs considered, magnetic flux diverters are used to reduce the values of B in the superconducting coils. The FE models were also used to confirm that the B field in the coils is consistent with the expected current. In addition, structural finite-element models were built in an attempt to prove that a satisfactory design could be produced. The structural design of a superconducting rotor is not straightforward. There are two principle conflicts that account for this difficulty. The structure that supports the cold rotor components must limit the heat load that it imposes on the cooling system, while being sufficiently stiff to keep the critical speeds of the rotor out of the working range. The structure must be strong enough to carry the loads imposed by centrifugal force, while being flexible enough to adsorb differential thermal contraction without generating excessive stress. This process will allow identifying the challenges of building that type of machines and suggesting possible solutions to problems that the future designers of similar devices might face. The project combines a number of the EPE group interest fields: finite element modelling, optimisation, superconductivity and electrical machines.