
QinetiQ (Malvern)
QinetiQ (Malvern)
21 Projects, page 1 of 5
assignment_turned_in Project2006 - 2010Partners:QinetiQ (Malvern), BT Group (United Kingdom), Qioptiq Ltd, HPLB, Qinetiq (United Kingdom) +6 partnersQinetiQ (Malvern),BT Group (United Kingdom),Qioptiq Ltd,HPLB,Qinetiq (United Kingdom),BT Group (United Kingdom),Qioptiq Ltd,UCL,British Telecommunications plc,HPLB,Hewlett-Packard (United Kingdom)Funder: UK Research and Innovation Project Code: EP/D077273/1Funder Contribution: 571,339 GBPMark Weiser's vision of ubiquitous computing, in which computers become transparently and seamlessly woven into the many activities of our daily lives, is slowly becoming a reality. Researchers have created prototype ubiquitous computing environments such as 'smart homes' that can automatically sense the presence of a resident in a particular room and change some aspect of the environment of the room such as turning on the lights, or 'smart museums' that can play recorded information about the museum artefact a visitor is standing in front of. There seem to be limitless possibilities for the kinds of environments and applications that can be developed for ubiquitous computing, yet the very nature of ubiquitous computing creates new and significant challenges for engineers who would like to build these environments and applications. Anybody who has ever used a computer has experienced the extreme frustration of using a software package that doesn't work the way it's supposed to, or that unceremoniously crashes in the middle of its operation, or that runs extremely slowly, or that transmits sensitive information such as credit card numbers over untrusted networks. For ubiquitous computing to achieve true transparent and seamless integration with its surroundings, it is important to prevent such mishaps, crashes, inefficiencies and insecurities from happening to the greatest extent possible. This project will define and implement a suite of sound, systematic methods that engineers can use to create correctly functioning, efficient and secure ubiquitous computing environments and applications. The research will be conducted and evaluated using the smart urban spaces and applications being developed in another ubiquitous computing project called Cityware.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2008 - 2018Partners:Qioptiq Ltd, HPLB, Hewlett-Packard (United Kingdom), Smith & Nephew plc (UK), QinetiQ (Malvern) +60 partnersQioptiq Ltd,HPLB,Hewlett-Packard (United Kingdom),Smith & Nephew plc (UK),QinetiQ (Malvern),PERKINELMER LAS (UK) LIMITED,Birmingham City Council,General Electric (United Kingdom),Thinktank Birmingham Science Museum,Qioptiq Ltd,Luminescence Services Ltd,Nikon (United Kingdom),Thinktank,Diamond Light Source,Medilink East Midlands,Carl Zeiss (United Kingdom),LOT Oriel Ltd,RENISHAW,HPLB,GE Healthcare,Jeol UK Ltd,Nikon UK Ltd,RENISHAW,University of Birmingham,Carl Zeiss Ltd,Jeol UK Ltd,PerkinElmer Life and Analytical Sciences,Advantage West Midlands,Central Technology Belt,Department for Infrastructure,LOT Oriel Ltd,Lambda Photometrics Ltd,Medilink West Midlands,Qinetiq (United Kingdom),University Hospitals Birmingham NHS FT,Renishaw plc (UK),Lambda Photometrics Ltd,University of Birmingham,PERKINELMER LAS (UK) LIMITED,Central Technology Belt,JEOL (United Kingdom),Central Technology Belt,Bruker Biospin Ltd,Thinktank Birmingham Science Museum,Central Technology Belt,Bruker Corporation,Smith & Nephew (United Kingdom),Smith & Nephew (United Kingdom),University Hospitals Birmingham NHS Foundation Trust,GE (General Electric Company) UK,LOT Oriel Ltd,Nikon UK Ltd,Lambda Photometrics Ltd,Carl Zeiss Ltd,University Hospitals Birmingham NHS Foundation Trust,Renishaw (United Kingdom),Thinktank Birmingham Science Museum,Birmingham City Council,Birmingham City Council,Diamond Light Source,Bruker Corporation,Luminescence Services Ltd,Advantage West Midlands,Diamond Light Source,Luminescence Services LtdFunder: UK Research and Innovation Project Code: EP/F50053X/1Funder Contribution: 7,181,440 GBPThe PSIBS Doctoral Training Centre (DTC) will focus on the development of the physical sciences of imaging and the computational analysis of image data to address key problems in the biological and biomedical sciences.The importance of Imaging to Bioscience and Medicine has been highlighted both by the N111 and the UK research councils.There is art apparent and growing need for people with these skills within UK industries with diverse business focuses (proposal section 3). This is reflected by their involvement in this PSIBS DTC and their contributions to the training.Two key benefits of training cohorts of students rather than individually funded students are: (1) The PSIBS multi-disciplinary taught programme that will upgrade the skill- and knowledge-base of traditional UK bachelors-level single-discipline graduates to underpin and enable cross-disciplinary PhD research. (ii) The students will develop extensive and cross-disciplinary links and networks, both with other PSIBS students and the many PSIBS academics, which will persist throughout their future research careers.Imaging technology is evolving faster than the standard grant turnaround time and dynamic, responsive PhD research within a critical mass of experts will enable (a) rapid response and (b) cutting edge research against our overseas competitors (proposal section 4).
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2006 - 2010Partners:Qioptiq Ltd, University of Bristol, QinetiQ (Malvern), Qinetiq (United Kingdom), RENISHAW +8 partnersQioptiq Ltd,University of Bristol,QinetiQ (Malvern),Qinetiq (United Kingdom),RENISHAW,Selex-Galileo,RENISHAW,Renishaw plc (UK),Leonardo (United Kingdom),Selex-Galileo,Qioptiq Ltd,Renishaw (United Kingdom),University of BristolFunder: UK Research and Innovation Project Code: EP/D045304/1Funder Contribution: 417,913 GBPThe increasing complexity of tasks required by communication, radar, aircraft, automotive systems benefits from the use of novel materials in high speed devices. Such devices, for example, radio-frequency (RF) transistors used in mobile communication base stations or phased array radars, have to meet certain performance standards. Electrical characterization is mostly used today to tackle challenges in the device development process to meet these standards. Electrical measurements, however, determine average device properties rather than specific information on spatial characteristics such as temperature and electric field inhomogeneities. If direct imaging of temperature and electric field distribution over a device area was possible with high time resolution this would open a new dimension for the investigation of semiconductor devices. This would be of great benefit to device researchers and developers to study and tackle time-dependent phenomena limiting device performance. Adequate techniques, however, are not existent at present. In the proposed work we will develop the first high-spatial resolution time-resolved thermal prober for semiconductor device imaging ever built to our knowledge. Electric field distribution will be extracted from the temperature information. The technique will be illustrated on the example of the topical AlGaN/GaN HFETs to learn more about how these devices operate in detail and what limiting factors for current devices are. For example, we will obtain information about carrier trapping related to AlGaN/GaN HFET current collapse, but experience shows that other interesting and potentially important discoveries are likely to result as well.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2007 - 2007Partners:Qioptiq Ltd, Qioptiq Ltd, Djinnisys Corp., Djinnisys Corp., QinetiQ (Malvern) +6 partnersQioptiq Ltd,Qioptiq Ltd,Djinnisys Corp.,Djinnisys Corp.,QinetiQ (Malvern),University of Birmingham,University of Birmingham,BT Research,Qinetiq (United Kingdom),BT Laboratories,Djinnisys Corp.Funder: UK Research and Innovation Project Code: EP/D07956X/1Funder Contribution: 583,564 GBPLarge-scale distributed systems, such as the Internet, broadband wireless at home and mobile phone networks, raise many challenges for the design and engineering of the underlying infrastructure. Such systems crucially depend on robust and efficient communication and coordination protocols that ensure that the overall system is self-organising, timely and energy-efficient, possibly in the presence of unreliable network services and malicious or uncooperative agents. New protocols for distributed coordination are being introduced to manage the limited resources. They increasingly often rely on randomisation, which plays an important role in achieving de-centralisation, and resource awareness, for example adapting to the power level. The combination of randomness and nondeterminism that arises from the scheduling of distributed components introduces complex behaviours that may be difficult to reason about. Assuring correctness, dependability and quality of service of such distributed systems is thus a non-trivial task that necessitates a rigorous approach, and methods for quantitative evaluation of such systems against properties such as ``the probability of battery level dropping below minimum within 5 seconds is guaranteed to be below 0.01 in all critical situations'', are needed. Theoretical foundations of such quantitative analysis have been proposed, with some implemented in software tools and evaluated through case studies. However, no tools and techniques can directly address real programming languages endowed with features such as random choice and timing delays.This proposal is to further develop the foundations for reasoning about probabilistic systems to enable quantitative analysis of real programming languages. The research will involve extending the successful quantitative probabilistic model checker PRISM (www.cs.bham.ac.uk/~dxp/prism/) via predicate abstraction, and develop additional enhancements to the PRISM toolkit in collaboration with the extensive user community. The resulting techniques will also be relevant for other domains in which probabilistic model checking has proved successful, e.g. performance analysis, planning and systems biology.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2007 - 2010Partners:Qioptiq Ltd, BT Group (United Kingdom), Qioptiq Ltd, QinetiQ (Malvern), British Telecommunications plc +6 partnersQioptiq Ltd,BT Group (United Kingdom),Qioptiq Ltd,QinetiQ (Malvern),British Telecommunications plc,HPLB,Hewlett-Packard (United Kingdom),BT Group (United Kingdom),HPLB,Imperial College London,Qinetiq (United Kingdom)Funder: UK Research and Innovation Project Code: EP/D076633/1Funder Contribution: 353,183 GBPMark Weiser's vision of ubiquitous computing, in which computers become transparently and seamlessly woven into the many activities of our daily lives, is slowly becoming a reality. Researchers have created prototype ubiquitous computing environments such as 'smart homes' that can automatically sense the presence of a resident in a particular room and change some aspect of the environment of the room such as turning on the lights, or 'smart museums' that can play recorded information about the museum artefact a visitor is standing in front of. There seem to be limitless possibilities for the kinds of environments and applications that can be developed for ubiquitous computing, yet the very nature of ubiquitous computing creates new and significant challenges for engineers who would like to build these environments and applications. Anybody who has ever used a computer has experienced the extreme frustration of using a software package that doesn't work the way it's supposed to, or that unceremoniously crashes in the middle of its operation, or that runs extremely slowly, or that transmits sensitive information such as credit card numbers over untrusted networks. For ubiquitous computing to achieve true transparent and seamless integration with its surroundings, it is important to prevent such mishaps, crashes, inefficiencies and insecurities from happening to the greatest extent possible. This project will define and implement a suite of sound, systematic methods that engineers can use to create correctly functioning, efficient and secure ubiquitous computing environments and applications. The research will be conducted and evaluated using the smart urban spaces and applications being developed in another ubiquitous computing project called Cityware.
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