J
Jian Ma
Researcher at Southwest Jiaotong University
Publications - 538
Citations - 21810
Jian Ma is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Wireless sensor network & Routing protocol. The author has an hindex of 68, co-authored 512 publications receiving 18696 citations. Previous affiliations of Jian Ma include University of Texas at Austin & Nokia.
Papers
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Proceedings ArticleDOI
Performance of reliable transport protocol over IEEE 802.11 wireless LAN: analysis and enhancement
TL;DR: This paper proposes a scheme named DCF+, which is compatible with DCF, to enhance the performance of reliable transport protocol over WLAN and introduces an analytical model to compute the saturated throughput of WLAN.
Journal ArticleDOI
Global warming pattern formation: sea surface temperature and rainfall.
TL;DR: In this article, spatial variations in sea surface temperature (SST) and rainfall changes over the tropics are investigated based on ensemble simulations for the first half of the twenty-first century under the greenhouse gas emission scenario A1B with coupled ocean-atmosphere general circulation models of the Geophysical Fluid Dynamics Laboratory (GFDL) and National Center for Atmospheric Research (NCAR).
Global Warming Pattern Formation: Sea Surface Temperature and Rainfall
TL;DR: In this paper, spatial variations in sea surface temperature (SST) and rainfall changes over the tropics are investigated based on ensemble simulations for the first half of the twenty-first century under the greenhouse gas emission scenario A1B with coupled ocean-atmosphere general circulation models of the Geophysical Fluid Dynamics Laboratory (GFDL) and National Center for Atmospheric Research (NCAR).
Journal ArticleDOI
Quantum spin squeezing
TL;DR: In this article, the sensitivity of a state with respect to SU(2) rotations is analyzed for both entanglement detection and high-precision metrology, and various definitions of spin squeezing parameters are presented.
Journal ArticleDOI
A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering
TL;DR: Experimental results on the KDD CUP 1999 dataset show that the proposed new approach, FC-ANN, outperforms BPNN and other well-known methods such as decision tree, the naive Bayes in terms of detection precision and detection stability.