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MOBICOM
2010
ACM
13 years 8 months ago
Profiling users in a 3g network using hourglass co-clustering
With widespread popularity of smart phones, more and more users are accessing the Internet on the go. Understanding mobile user browsing behavior is of great significance for seve...
Ram Keralapura, Antonio Nucci, Zhi-Li Zhang, Lixin...
ADHOC
2008
103views more  ADHOC 2008»
13 years 7 months ago
Impact of sensor-enhanced mobility prediction on the design of energy-efficient localization
Energy efficiency and positional accuracy are often contradictive goals. We propose to decrease power consumption without sacrificing significant accuracy by developing an energy-...
Chuang-Wen You, Polly Huang, Hao-Hua Chu, Yi-Chao ...
BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
MMB
2001
Springer
141views Communications» more  MMB 2001»
14 years 4 days ago
Performance Analysis of the Random Access Protocol in TETRAPOL Trunked Radio Networks
This paper provides a performance evaluation of the TETRAPOL random access protocol. The results are based on a Markovian model which is also presented. The Markovian model is use...
Dirk Kuypers, Peter Sievering
WIOPT
2010
IEEE
13 years 6 months ago
Fractional frequency reuse and interference suppression for OFDMA networks
—The downlink performance of cellular networks is known to be strongly limited by inter-cell interference. In order to mitigate this interference, a number of frequency reuse sch...
Rizwan Ghaffar, Raymond Knopp