Practical Course Advanced Networking (Winter 2014/2015): Difference between revisions

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| Large scale signal analysis
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| Xu ren, [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
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|Brain computer interface (BCI) lab at the Department of Neurorehabilitation Engineering focuses on decoding motor related information at the cortical level, using signals such as Electroencephalography (EEG), for the purpose of rehabilitation. In our lab, we seek to extract motor intentions (imagination or attempts) from EEG in real time, with which we use to trigger external devices (electric stimulator or robotic device) within a short latency. Currently, we are particularly interested in a special EEG signal modality called movement related cortical potential (MRCP) for the purpose of motion intention extraction. We are also working on advanced algorithms to extracting pathological signatures from EEG and EMG recordings. These signatures will also allow applying appropriate interventions.
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| Implementation and evaluation of 112 (emergency services) protocols  
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://tools.ietf.org/wg/ecrit/ ECRIT WG]
|Though, the Internet and communication means have advanced, Emergency calls (i.e. 112) can only be performed by traditional phone calls. Emergency service providers cannot handle VoIP, text and video messages. Handling such messages will allow emergency service providers to scale and thereby handle large scale emergency. The task will consist of implementing and testing both client (preferably on a phone) and server side of standardized(or currently being standardized) emergency services protocols by the IETF ECRIT working group. 
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| Real time analysis of large scale data 
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
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|The team will have to apply current tools (and if possible improve them) to analyse large scale data at real time. 
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