Development of Urban Driving Cycle with GPS Data Post Processing

Using GPS Data to Understand Driving Behavior

Analysis of Pre-processing and Post-processing Methods and Using Data Mining to Diagnose Heart Diseases

Today, a great deal of data is generated in the medical field. Acquiring useful knowledge from this raw data requires data processing and detection of meaningful patterns and this objective can be achieved through data mining. Using data mining to diagnose and prognose heart diseases has become one of the areas of interest for researchers in recent years. In this study, the literature on the ap...

Backpropagation Processing of GPS Radio Occultation Data

We provide an assessment of the backpropagation (BP) method for processing GPS radio occultations using simulations as well as recent data from CHAMP and SAC-C. It is found that BP gives improved retrievals over the standard Doppler technique, even when multipath ambiguities are not completely removed. In addition, by being an amplitude-weighted algorithm, BP is robust in the presence of receiv...

K - means Based Processing of GPS Data

We propose here a new error correction algorithm for GPS (Global positioning system) receivers called SKMW, which processes GPS coordinates with smoothing, k-means, mean, and weighted average in turn. We also propose values for parameters to be used with the algorithm, and analyze their performance in field tests. Our analysis has shown that SKMW can effective improve the accuracy of GPS applic...

Real-time and post processing of GPS data in the field of visualizing asphalt paving operations

Utilization of global positioning system (GPS) to analyze the movements of machinery during the asphalt paving process is a growing practice. However, the accuracy of GPS measurements is affected by a number of factors that lead to noise in the GPS data. Due to these missing accuracy in the GPS data the asphalt paving professionals have problems interpreting and using the data in their operatio...