In wireless networks, a client's locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for ...
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Content-based retrieval of spatio-temporal patterns from human motion databases is inherently nontrivial since finding effective distance measures for such data is difficult. These...
Yueguo Chen, Shouxu Jiang, Beng Chin Ooi, Anthony ...
In this paper we discuss variational data assimilation using the STEM atmospheric Chemical Transport Model. STEM is a multiscale model and can perform air quality simulations and p...
The primary-backup replication model is one of the commonly adopted approaches to providing fault tolerant data services. Its extension to the real-time environment, however, impo...