[HTML][HTML] AISClean: AIS data-driven vessel trajectory reconstruction under uncertain conditions

M Liang, J Su, RW Liu, JSL Lam - Ocean Engineering, 2024 - Elsevier
In maritime transportation, intelligent vessel surveillance has become increasingly prevalent
and widespread by collecting and analyzing high massive spatial data from automatic …

HGST: A Hilbert-GeoSOT Spatio-Temporal Meshing and Coding Method for Efficient Spatio-Temporal Range Query on Massive Trajectory Data

H Liu, J Yan, J Wang, B Chen, M Chen… - … International Journal of …, 2023 - mdpi.com
In recent years, with the widespread use of location-aware handheld devices and the
development of wireless networks, trajectory data have shown a trend of rapid growth in …

A trajectory big data storage model incorporating partitioning and spatio-temporal multidimensional hierarchical organization

Z Yao, J Zhang, T Li, Y Ding - ISPRS International Journal of Geo …, 2022 - mdpi.com
Trajectory big data is suitable for distributed storage retrieval due to its fast update speed
and huge data volume, but currently there are problems such as hot data writing, storage …

Treating temporal function references in relational database management system

M Kvet, J Papan, MH Durneková - IEEE Access, 2024 - ieeexplore.ieee.org
Databases form an inseparable part of the information systems. They hold the data formed
by the data models. Data are operated by the database management system, which takes …

Optimizing Database Performance in Complex Event Processing through Indexing Strategies

M Abbasi, MV Bernardo, P Váz, J Silva, P Martins - Data, 2024 - search.proquest.com
Complex event processing (CEP) systems have gained significant importance in various
domains, such as finance, logistics, and security, where the real-time analysis of event …

MSTGI: a multi-scale spatio-temporal grid index model for remote-sensing big data retrieval

H Liu, J Yan, J Wang, D Zhang, J Li, L He… - Remote Sensing …, 2024 - Taylor & Francis
To promote the transformation of remote sensing (RS) data into geoscience knowledge, it is
necessary to provide better data discovery capabilities, especially when large amounts of …

Efficient distributed association management method of data, model, and knowledge for digital twin railway

Y Guo, Q Zhu, Y Ding, Y Li, H Wu, Y He… - … Journal of Digital …, 2024 - Taylor & Francis
Digital twin railway is a pivotal foundation for the intelligent construction and maintenance of
railway engineering projects within extensive open spaces. Its essence is the integrated …

Linear structure index for network-constrained moving objects

Q Wang, G Nong, W Wu - The Journal of Supercomputing, 2024 - Springer
A dimension-reduced and linearly ordered (DRLOP) index structure for network-constrained
moving objects is proposed to address the challenges posed by the rapid increase in the …

A Context-Aware Method for Indexing Large-Scale SpatioTemporal Data

R Tian, W Zhang, F Wang… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
With the rise of mobile terminals and the maturity of positioning technology, the amount of
available spatiotemporal data continues to grow rapidly, so it is crucial to be able to process …

k-dStHash tree for indexing big spatio-temporal datasets.

M Hooda, S Gill - International Journal of Electrical & …, 2024 - search.ebscohost.com
Today's era is witness of tremendous ever growing spatial, temporal and spatiotemporal
data. The huge spatio-temporal data immensely pushes the need for design and …