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Protecting privacy and enhancing utility: A novel approach for personalized trajectory data publishing using noisy prefix tree
Y Zhao, C Wang - Computers & Security, 2024 - Elsevier
In recent years, the widespread adoption of location-based software has significantly
improved people's daily lives. However, this convenience has brought about an increasingly …
improved people's daily lives. However, this convenience has brought about an increasingly …
[HTML][HTML] GN-GCN: Grid neighborhood-based graph convolutional network for spatio-temporal knowledge graph reasoning
Owing to the difficulty of utilizing hidden spatio-temporal information, spatio-temporal
knowledge graph (KG) reasoning tasks in real geographic environments have issues of low …
knowledge graph (KG) reasoning tasks in real geographic environments have issues of low …
Non-Uniform Spatial Partitions and Optimized Trajectory Segments for Storage and Indexing of Massive GPS Trajectory Data
Y Yang, X Zuo, K Zhao, Y Li - ISPRS International Journal of Geo …, 2024 - mdpi.com
The presence of abundant spatio-temporal information based on the location of mobile
objects in publicly accessible GPS mobile devices makes it crucial to collect, analyze, and …
objects in publicly accessible GPS mobile devices makes it crucial to collect, analyze, and …
A general modeling scheme for spatiotemporal DGGS with emphasis on encoding and operating multiscale time grids
J Zhou, J Ben, Q Liang, X Huang, J Ding - Transactions in GIS, 2024 - Wiley Online Library
One of the basic scientific problems concerning geographic information science is how to
rapidly organize, query, and compute spatiotemporal big data. The spatiotemporal discrete …
rapidly organize, query, and compute spatiotemporal big data. The spatiotemporal discrete …
Systematic evaluation of applying space-filling curves to automotive maneuver detection
Identifying driving maneuvers plays an essential role on-board vehicles to monitor driving
and driver states, as well as off-board to train and evaluate machine learning algorithms for …
and driver states, as well as off-board to train and evaluate machine learning algorithms for …
[HTML][HTML] GLMI: An Efficient Spatiotemporal Index Leveraging Geohash and Piecewise Linear Models for Optimized Query Performance
K Chen, G Liu, G Chen, Z Weng, Q Chen - Algorithms, 2024 - mdpi.com
Spatiotemporal big data contain information in multiple dimensions such as space and time.
Spatiotemporal data have the characteristics of large volume, intricate spatiotemporal …
Spatiotemporal data have the characteristics of large volume, intricate spatiotemporal …
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 …
data. The huge spatio-temporal data immensely pushes the need for design and …
Hybrid Quantum Representation and Hilbert Scrambling for Robust Image Watermarking
Purpose: This work aims to apply Quantum Hilbert Scrambling to enhance the security and
integrity of image watermarking without affecting visual quality degradation. Further …
integrity of image watermarking without affecting visual quality degradation. Further …