Welcome
We are an internationally renowned centre for research in Computer Science, including Artificial Intelligence, Cognitive Science, Evolutionary Electronics, Human Computer Interaction, Interactive Learning Environments, Multimedia, Neural Computation, Robotics, Software Engineering and Virtual Environments.
We offer a wide range of undergraduate degrees:
Computer Science BSc Computing and Artificial Intelligence BSc Games and Multimedia Environments (GAME) BSc Human-Computer Interaction Design BSc Information Technology for E-Commerce BSc / MComp Internet Computing BSc Multimedia & Digital Systems BSc Music Informatics BA / BSc Computing Sciences (with a foundation year) BScOur postgraduate courses and degrees cover Evolutionary & Adaptive Systems, Intelligent Systems, Human-Centred Computer Systems, Multimedia Applications and Virtual Environments, Information Technology for E-Commerce, Philosophy of Cognitive Science, e-Learning Design and Creative Systems.
As used for Cyber espionage- Signals and Image processing/ Brain mapping, withholding Magnetic/ Digital evidence-
Vision research is aimed at understanding how people, animals and machines can make use of the information they obtain through their eyes or cameras. Computer Vision is particularly concerned with how we can write computer programs to exploit such information, both for practical applications and to obtain a better understanding of how we and animals are able to see. Computer Vision is closely allied to image processing, but goes beyond it by integrating visual information with prior knowledge of the environment, to address tasks that require interaction with our dynamic, 3-D world.
Computer Vision is of increasing practical importance in many areas, such asmobile robotics, manufacturing, medicine, safety monitoring and image databases. It takes advantage of an enormous variety of computational techniques, drawn, for example, from signal processing, artificial intelligence, artifical neural networks, probabilistic reasoning, geometrical modelling and computer graphics.
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School of Cognitive and Cxxxxxxxg Sciences
HCT: Human Centred Xxxxxxxxxx Group
Research We are a group of researchers who are interested in the design, implementation and use, of human-centred technologies.
People Our main objectives are:
Projects {i} to develop frameworks for understanding how people interact and communicate through technology;
Publications {ii} to apply this understanding to develop support innovation.
Seminars
Collaboration Research areas include”
Workshops interactive learning environments and educational software
intelligent tutoring systems
Links collaborative and networked technologies
intelligent agents visualization and medical information systems
interactivity, external representations and virtual reality
telematics and virtual collaborative environments
software design and reuse
CXXS There are TWO Human-Centred XxxxxxxxxxLabs.
Dear Mr Xxxxxxx
This is to confirm that MICHAEL XXXXX was awarded a
BSc Honours Degree in Materials Science in the School of
Applied Sciences. The Degree was conferred on 11th July
1972. If you require any further information, we will need
Mr Xxxxx' written authority. As previously explained, we do
not retain undergraduate student papers.
Regards
Marilyn
Transcripts and Alumni Team
Areas Of Research
- The application of high powered microprocessors to space instruments allows for much improved efficiency of instrument mode / data collection and permits access to data which otherwise could not be transmitted to ground (Space Technology, Vol 9, 305, 1989).
- One example is the particle correlator first flown on sounding rockets and on the satellite AMPTE-UKS 1984 (IEEE Trans. Geoscience & Remote Sensing, 23, 305, 1985) and later on the US CRRES satellite launched in 1990 (IEEE Trans, Nuclear Science, 40, 246, 1993).
- This technique is scheduled to be flown on a number of future missions in further developed forms (Cluster, Freja, Pulsaur, Tether). On AMPTE-UKS particle correlation has proved of value in the studies of both naturally occurring space plasmas and those created by man (e.g. artificial comet) with several publications in the scientific literature. CRRES provided the first direct cross correlations between waves and particles (EOS Trans. Am. Geophys. Union, 73, 43, 453, 1992, EOS Trans. m. Geophys. Union, 74, 16, 270, 1993). A sounding rocket, CAESAR-II provided direct measurements on the auroral beam interaction with the upper ionosphere (J.Geophys. Res, 95, 12287, 1990).
- Intelligent selection of data, or data compression on-board spacecraft can greatly improve the effective telemetry bandpass allocated to the instrument. (IEEE Transactions on Communications, 41, 535,1993). Initial studies of the compression of geophysical data in collaboration with the departments of Computing and Control Engineering at the University of Sheffield show great promise (Int. J. Remote Sensing, 8, 1219, 1987). The Universities of Sussex and Sheffield have constructed the Digital Wave Processors for the wave experiments to be flown on the ESA Cluster and USSR Mars 96 missions (ESA SP-1159, p5, p33, p81, 1993). Other aspect of on-board intelligence are knowledge accumulation, Neural networks, fault-tolerance, smart and evolutionary instruments (see below).
- Parallel processing is being considered on a number of flight opportunities. Initial applications involve a total of 36 single chip microcomputers operating in parallel within a rocket payload, Centaur; twenty processors within a shuttle orbiter experiment; and four INMOS transputers operating together in a Mars spacecraft.
- The remote operation of intelligent instruments in space with data collection and display on the ground computer poses many problems at the 'Man-Machine Interface'. On the forthcoming ESA Cluster mission the group will be involved in generating software both for the on-board computer and for the ground Sun Work Stations. These Work Stations will form the centre of the ground check-out equipment used at all levels of the Cluster Wave Experiment Consortium testing, from engineering model through to flight model. After launch they will be used to monitor the instruments' performance and provide a means with which to perform the initial analysis of returned scientific data. These aspects of space science missions with simultaneous multi-parameter graphical representation of various data sets is referred to as 'Tele-science'.
- The many spacecraft launched to date have produced vast data banks which, by and large, remain only partially analysed because of limited resources. Knowledge accumulation techniques applicable to most forms of geophysical data are being studied with a view to enabling expert systems to operate directly on these data bases. Initial tests on GEOS and CRRES data have proved that this approach is feasible. Treating science and engineering data as images allows us to use Image Recognition and Image Understanding techniques. A target for this work is the WISE (Whole Information System Expert) system. (Earth and Space Science Information Systems, Am. Inst. Phys., ISBN 1-56396-094-X, 653,1993.) A new unsupervised neural network ideal for this activity is ALM (see next item).
- Neural Networks are being developed to analyse data generated in situ. A Sussex designed Neural Network is included in the Shuttle Tether SPREE instrument. This relatively simple network analyses 200 auto correlation functions per second, simultaneously searching for both wave and radar like patterns. The sensitivity achieved per auto correlation function is comparable to a trained human data analyst (IEEE Trans. Geoscience & Remote Sensing, 31, 1264, 1993). More recently a new unsupervised neural network, the Associative List Memory, (Neural Networks, vol 10, 1117, 1997), has been designed specifically for space instruments to include an 'intelligent data expert' that learns new features in the data as they occur- on board 'data mining'. This network can take in digital inputs up to, or greater than, 100,000 bits in size and provides direct access to the information learned from the data.
- Reliable, continuous space instrument operation is a major requirement. Configurations of Transputers can provide one of the highest mission lifetimes obtainable. On MARS94 a special group of four transputers designed by Sussex will control and process the data from several instruments, (Microprocessors and Microsystems, 15, 361, 1991). Also data memory management systems can overcome radiation induced single event upsets, (Microprocessors and Microsystems 14, 599, 1990).
- Expert systems, Neural Networks and Genetic Algorithms are being assessed for their use in maintaining spacecraft and space instrument health in the adverse conditions of space. Uses extend from fault diagnosis with remedial action to analysis of scientific data on-board. On the ELISMA experiment Fuzzy Logic was used to control the data compression rate with a view to optimising the instrument useage and telemetry buffer (Microprocessors and Microsystems, 20, 17, 1996)
- Cluster and MARS94 missions rely heavily on data compression algorithms generated at Sussex. In recent years we have developed several new algorithms that have high compression ratios with little or no data loss. (IEEE transact. Communications 41, 535, 1993, & SPIE Proc. on data structures and target classifications, Vol 1470, 1991). This work has led to an external contract for American Express. More recently Artificial Neural Networks have been shown to provide data compression (Microprocessors and Microsystems 20, 285, 1996)
- Evolutionary instruments that can adapt their modes of operation to suit the environment being studied are being considered for future missions to largely unknown distant regions of the solar system and beyond.
- The ENGG group has provided a low level consultative support role for some of the associated ground instrumentation construction in MAPS. The main aim of this work is to produce remotely operated automatic ground stations or instrumented observatories for inhospitable ground locations such as the Arctic and Antarctic regions.
- Each year four or five undergraduate students take third year projects related to the space group's activities: transputers in space instruments; fault-tolerant designs; data processing; data analysis using neural networks and expert systems; small rocket instrumentation.
- Students constructing small instrumented rocket payloads have been awarded the UKAPE (United Kingdom Association of Professional Engineers) project of the year award for two years running.