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Practical Course Advanced Networking (Summer 2014): Difference between revisions
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Practical Course Advanced Networking (Summer 2014) (view source)
Revision as of 17:49, 6 May 2014
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| Large scale crawling and data analysis | | Large scale crawling and data analysis | ||
| [http://www.net.informatik.uni-goettingen.de/people/ | | [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang], [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai] | ||
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|The team will have to perform a distributed large scale crawl of some popular service/webpage and analyze the obtained meta data. Group 1: Olga Smirnova, Christian Herrmann, Pushpendra Chaturvedi; Group 2: Georg Roth-Kleyer [georg.roth-kleyer@stud.uni-goettingen.de], Alexander Wildschütz; Group 3: Khaled Hossain Ansary (ansary@l3s.de), akter@l3s.de | |The team will have to perform a distributed large scale crawl of some popular service/webpage and analyze the obtained meta data. Group 1: Olga Smirnova, Christian Herrmann, Pushpendra Chaturvedi; Group 2: Georg Roth-Kleyer [georg.roth-kleyer@stud.uni-goettingen.de], Alexander Wildschütz; Group 3: Khaled Hossain Ansary (ansary@l3s.de), akter@l3s.de | ||
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| Large scale signal analysis | |||
| Xu ren, [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai] | |||
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|rain 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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