Learn More
The availability of GPS signals is a major concern for many existing and potential applications. Fortunately, with the development of Galileo by the European Commission (EC) and European Space Agency (ESA) and new funding for the restoration of the Russian GLONASS announced by the Russian Federation (Revnivykh et al., 2005) the future for satellite based(More)
South Wales (UNSW). Yong obtained a Doctor of Philosophy in flight dynamics in 1997. From 2000 to 2002 he was a STA Fellow at the Japanese Aerospace Exploration Agency (JAXA, formerly the National Aerospace Laboratory). Yong worked at the Beijing Institute of Control Engineering for GPS space applications from 1997 to 2000. His current research interests(More)
BIOGRAPHIES Liwen Dai received a B. been a full-time Ph.D. student within the SNAP group. His current research interests are software and algorithm development for rapid static and kinematic positioning (and attitude determination) using integrated GPS, GLONASS and pseudolite systems. Jinling has authored over 100 refereed journal and conference(More)
The necessity for precise time synchronisation of measurement data from multiple sensors is widely recognised in the field of GPS/INS integration. Having precise time synchronisation is critical for achieving high data fusion performance. The limitations and advantages of various time synchronisation scenarios and existing solutions are investigated in this(More)
Cardiac I Kr is a critical repolarizing current in the heart and a target for inherited and acquired long-QT syndrome (LQTS). Biochemical and functional studies have demonstrated that I Kr channels are heteromers composed of both hERG 1a and 1b subunits, yet our current understanding of I Kr functional properties derives primarily from studies of(More)
The central task of GPS/INS integration is to effectively blend GPS and INS data together to generate an optimal solution. The present data fusion algorithms, which are mostly based on Kalman filtering (KF), have several limitations. One of those limitations is the stringent requirement on precise a priori knowledge of the system models and noise(More)
One of the most important tasks in integration of GPS/INS is to choose the realistic dynamic model covariance matrix Q and measurement noise covariance matrix R for use in the Kalman filter technique. The performance of the methods to estimate both of these matrices depends entirely on the minimization of dynamic and measurement update errors that lead the(More)
Oxidative damage caused by reactive oxygen species (ROS) is implicated in many diseases and in aging. Removal of ROS by antioxidant enzymes plays an important part in limiting this damage. For instance, peroxiredoxins (Prx) are conserved, abundant, thioredoxin peroxidase enzymes that function as tumor suppressors. In addition to detoxifying peroxides,(More)