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VTC
2007
IEEE
190views Communications» more  VTC 2007»
15 years 6 months ago
An Adaptive Location Estimator Based on Kalman Filtering for Wireless Sensor Networks
—In this paper, we present a positioning and tracking scheme based on adaptive weighted interpolation and Kalman filtering for wireless sensor networks. The proposed positioning ...
Chin-Liang Wang, Yih-Shyh Chiou, Yu-Sheng Dai
ISBI
2006
IEEE
16 years 14 days ago
A novel approximate inference approach to automated classification of protein subcellular location patterns in multi-cell images
The subcellular location of proteins is most often determined by visual interpretation of fluorescence microscope images. In recent years, automated systems have been developed so...
Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Mu...
SRDS
1998
IEEE
15 years 4 months ago
Tolerating Visitor Location Register Failures in Mobile Environments
For mobile users who move frequently but receive relatively rare calls, a forwarding scheme has been shown to outperform the normal IS-41 location management scheme. But the forwa...
Saad Biaz, Nitin H. Vaidya
PERCOM
2003
ACM
15 years 11 months ago
WLAN Location Determination via Clustering and Probability Distributions
We present a WLAN location determination technique, the Joint Clustering technique, that uses (1) signal strength probability distributions to address the noisy wireless channel, ...
Ashok K. Agrawala, A. Udaya Shankar
JCIT
2010
185views more  JCIT 2010»
14 years 6 months ago
GPS/TDOA Hybrid Location Algorithm Based on Federal Kalman Filter
Generally, accuracy of GPS(Global Positioning System) is higher than that of cellular network. But in tall building urban area or indoor, relatively weak GPS signal makes the posi...
Cui-Xia Li, Wei-Ming Liu, Zi-Nan Fu