Tagged / computer science

Innovate UK announce £33m fund to exploit immersive technology and £20m for Quantum technologies

BU research, Funding opportunities

Innovate UK have announced that £33m will be invested in exploiting the new immersive technologies as part of the Audiences of the Future and £20m for Quantum technologies.  When more information becomes available, more details will be posted here.  As this fund forms part of the Industrial Strategy Challenge Fund, please be advised that the applications may need to involve a UK company.  For further advice on preparing for these funds, please contact Ehren Milner (emilner@bournemouth.ac.uk)

 

BU Briefing – Exploiting temporal stability and low-rank structure for motion capture data refinement

BU research

Our BU briefing papers are designed to make our research outputs accessible and easily digestible so that our research findings can quickly be applied – whether to society, culture, public policy, services, the environment or to improve quality of life. They have been created to highlight research findings and their potential impact within their field. 

In recent years, motion capture data (mocap) have been widely used in computer games, film production and sport sciences. The great success of animated and animation enhanced feature films, such as Avatar, provide compelling evidence for the values of mocap techniques. However, even with the most expensive commercial mocap systems, there are still instances where noise and missing data are inevitable.

This paper examines the motion refinement problem and presents an effective framework to solve it, demonstrated by extensive experiments on both synthetic and real data. The experiment shows that the proposed method outperforms all competitors not only in predicting missing values but also in de-noising most of the time.

Click here to read the briefing paper.

For more information about the research, contact Dr Xiaosong Yang at xyang@bournemouth.ac.uk or Professor Jian Jun Zhang at jzhang@bournemouth.ac.uk.
To find out how your research output could be turned into a BU Briefing, contact research@bournemouth.ac.uk.

Fancy working on a project with the RNLI?

HEIF, innovation, Knowledge Exchange, Knowledge Exchange and Impact Team, Knowledge Transfer

 

RNLIlogo

Following recent  HEIF funding, this project aims to develop an alternative solution by simulating and visualising the lifeboat launching with unmanned vehicles in an immersive virtual environment. Working with staff members at the RNLI and located within The National Centre for Computer Animation (NCCA) at Bournemouth University this role will offer an exciting opportunity to join the NCCA’s research team and be involved in the design of the next generation lifeboat launching system in order to enhance safety and efficiency.

This vacancy is advertised on BU’s website with a closing date of 20 September 2015.

EPSRC announce call: Working together in ICT

Funding opportunities

Summary

EPSRC’s ICT Theme intends to commit around £5M of funding for research projects which will directly address its Working Together priority.

Projects submitted in response to this call should comprise two or more ‘streams’ of research which run concurrently and show significant mutual benefit. These streams may include ICT researchers working with researchers in areas outside ICT, as long as the potential benefit to ICT research is the main driver for the project.

Full call document including background, funding available, aims and scope of call, eligibilty, how to apply and assessment can be found here.

Closing date: 16:00 on 10 July 2012

Submitting application

You should prepare and submit your proposal using the Research Councils’ Joint electronic Submission (Je-S) System (https://je-s.rcuk.ac.uk/).

When adding a new proposal, you should select: Council ‘EPSRC’; Document type ‘Standard Proposal’; Scheme ‘Standard Research’; On the Project Details page you should select the ‘Working Together in ICT’ call.

The RKE Operations team can help you with your application.

INFER Mini–Workshop on Predictive Analytics

EU

Nowadays web users generate a lot of data in a form of web logs. This data can tell us a lot about visitor behavior, their demands and preferences.  Predictive web analytics is aimed at understanding and predicting behavioral patterns of users in various web-based applications or services: e-commerce, mass-media, and entertainment industries. This mini workshop focuses on challenges and techniques in predictive web analytics.

If you are interested to find out what can be predicted from visitor behavior on the web and how it can be done, welcome to attend!

Date: Monday, 31/10/2011

Time: 4pm – 6pm

Place: PG143, Poole House, Talbot Campus

 4pm – 5pm

Mykola Pechenizkiy will talk about Context Aware Predictive Analytics: Motivation, Potential, Challenges

 5pm – 6pm

Omar Kudmany will talk about Web log pre-processing using Complex Event Processing technologies

Workshop on Information Discovery and Data Analytics Made Easy

BU research

DEC are hosting a workshop on Information Discovery and Data Analytics Made Easy facilitated by Prof. Michael R. Berthold, Konstanz University, Germany on 18 May.

TIME: 18th May 2011, 10.00 am – 1.00 pm,

PLACE: PG10, Poole House, Talbot Campus

The purpose of the event is to present methods and tools that can be used in processing large datasets and how to discover knowledge from them. Michael Berthold is a coordinator of the project BISON that is a research project funded by EC under the 7FP. He is also one of the founders of KNIME which is a user-friendly and comprehensive open-source data integration, processing, analysis, and exploration platform. So the goal of the workshop is also to start collaboration with Konstanz University and find out more about EC 7FP projects.

The workshop is open to all BU staff and PhD students as well. It will be of interest to all people who are involved in intelligent data processing. For sure it will be of interest for DEC staff: SMART Technology Research Centre, Creative Technology Research Centre and Software Systems Research Centre. I bielieve also that people from School of Applied Sciences will be interested.

Research areas that it covers include: intelligent data analysis, predictive modelling, complexity science, complex adaptive systems, knowledge discovery from data.

SCHEDULE:
10.00-11.00 – From Pattern Discovery to Discovery Support: Creativity and Heterogeneous Information Networks
11.00-11.30 – coffee break
11.30-12.30 – KNIME. Integrating Data, Tools, and Science
12.30-13.00 – Q&A Session
13.00-14.00 – Lunch

Prof. Michael R. Berthold’s Bio
After receiving his PhD from Karlsruhe University, Germany Michael Berthold spent over seven years in the US, among others at Carnegie Mellon University, Intel Corporation, the University of California at Berkeley and – most recently – as director of an industrial think tank in South San Francisco.
Since August 2003 he holds the Nycomed-Chair for Bioinformatics and Information Mining at Konstanz University, Germany where his research focuses on using machine learning methods for the interactive analysis of large information repositories in the Life Sciences. Most of the research results are made available to the public via the open source data mining platform KNIME.
M. Berthold is Past President of the North American Fuzzy Information  Processing Society, Associate Editor of several journals and the President of the IEEE System, Man, and Cybernetics Society. He has been involved in the organization of various conferences, most notably the IDA-series of symposia on Intelligent Data Analysis and the conference series on Computational Life Science. Together with David Hand he co-edited the successful textbook “Intelligent Data Analysis: An Introduction” which has recently appeared in a completely revised, second edition. He is also co-author of the brand-new “Guide to Intelligent Data Analysis” (Springer Verlag) which appeared in summer 2010.

For more information about workshop or to book a place, please contact: Katarzyna Musial (kmusial@bournemouth.ac.uk)