Events
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Start: 03/21/2012 11:00 am
End: 03/21/2012 1:00 pm
The automatic prediction of protein three-dimensional structures from an amino acid sequence has become one of the most important and researched fields in bioinformatics. As models are not experimental structures determined with known accuracy but rather with prediction, it is vital to determine estimates of a model's quality. We attempt to solve this problem using machine learning techniques and information from both the sequence and structure of the protein. | 22
| 23
Start: 03/23/2012 3:00 pm
End: 03/23/2012 5:00 pm
In this dissertation, we study data collection and its achievable network capacity in large-scale Wireless Sensor Networks (WSNs). Firstly, we investigate the data collection issue in dual-radio multi-channel WSNs under the protocol interference model. We propose a multi-path scheduling algorithm for snapshot data collection in single-radio multi-channel WSNs and derive its network capacity, which is proven to have a tighter bound compared with the existing best result. We subsequently propose a novel continuous data collection algorithm for dual-radio multi-channel WSNs. | 24
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