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A GPS sensor is utilized to determine the position of objects on earth and it is enormously beneficial to society. Despite the advances in GPS technologies, GPS measurement is still susceptible to errors, causing it to only highlight the coarse position of a place or an object. Map matching is the process of matching erroneous GPS sensor readings from a device to a road network. The prime objective...
The quick evolution of sensors and the broad scale utilization of pervasive devices have awashed ubiquitous systems with an unprecedented amount of sensor data. Inferring activity or context from sensor data has fueled enormous research interests. In this paper, we propose a novel predictive model that utilizes wavelets, voronoi regions and Conditional Random Fields (CRF) to predict activities from...
The widespread adoption of ubiquitous devices does not only facilitate the connection of billions of people, but has also fuelled a culture of sharing rich, high resolution locations through check-ins. Despite the profusion of GPS and WiFi driven location prediction techniques, the sparse and random nature of check-in data generation have ushered diverse problems, which have prompted the prediction...
Advances in sensor and ubiquitous technologies have contributed to the broad scale adoption of pervasive devices. Context or activity recognition from sensor signals is an emerging area that has garnered huge research interest. In this paper, we propose a novel predictive model that utilizes dyadic wavelet transform, vector quantization and Hidden Markov Model (HMM) to predict a high level activity...
The prediction of future locations is of enormous research interest, partly due to the fast growing number of users of pervasive devices, as well as the tons of spatiotemporal data generated by such devices. In this paper, we propose a novel enhanced Next Location prediction technique which utilizes a trajectory model called Time Mobility Context Correlation Pattern (TMC-Pattern) and sequence alignment...
The rush for personalized user information, triggered by the daily generation of a staggering amount of geospatial data from multitude platforms, is leading to an erosion of users' location privacy. To ensure the privacy of moving objects on road networks, most existing works do not enforce a strict constrain that the anonymized or perturbed geospatial points should lie on the road segments. Thus,...
Geospatial data emanating from GPS-enabled pervasive devices reflects the mobility and interactions between people and places, and poses serious threats to privacy. Most of the existing location privacy works are based on the k-Anonymity privacy paradigm. In this paper, we employ a different and stronger privacy definition called Differential Privacy. We propose a novel context-aware and non context-aware...
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