Back end support for information retrieval of trajectory dataset: Case study: Iceberg movements in antarctica
MetadataShow full item record
Trajectory is defined as a movement of an object in space and time, which consists of a set of spatial and temporal data. Exploration of this dataset can be used to extract the movement behaviour of moving objects that is previously unknown. This research proposes several alternatives on how to retrieve information from trajectory dataset in a database system with the Antarctic's iceberg movements as a case study. There are two types of back end support are implemented, i.e. for data preprocessing and data extraction. Data pre-processing deals with managing data at the initial stage of data storage, update and consistency check. Data extraction deals with information that can be retrieved from trajectory, i.e. the geometric properties, such as lifespan, average speed, and moving direction, and the specific need of application, such as iceberg event detection. © 2010 IEEE.
Showing items related by title, author, creator and subject.
Sun, Qian; Odolinski, Robert; Xia, Jianhong (Cecilia); Foster, Jonathan; Falkmer, Torbjorn; Lee, Hoe (2017)Vehicle movement trajectories recorded by GPS combining other spatial information may reflect different levels of driving performance, such data would be valid for discriminant analysis in driving behaviours for cohort ...
Ibrahim, A.; Turdukulov, Ulanbek; Kraak, M. (2016)In several domains, there has been an increasing interest in analysing moving objects due to the recent ubiquity of location tracking devices. These locations are commonly abstracted and stored as trajectories: a finite ...
Sun, Qian (Chayn); Odolinski, R.; Xia, Jianhong (Cecilia); Foster, Jonathan; Falkmer, Torbjorn; Lee, Hoe (2017)Vehicle movement trajectory recorded by GPS maps the vehicle's lane position in time sequence, therefore theoretically can be used to assess driving behaviour. However, the data quality level which can be achieved for ...