Geospatial data management research: Progress and future directions

M Breunig, PE Bradley, M Jahn, P Kuper… - … International Journal of …, 2020 - mdpi.com
Without geospatial data management, today's challenges in big data applications such as
earth observation, geographic information system/building information modeling (GIS/BIM) …

State-of-the-art geospatial information processing in NoSQL databases

D Guo, E Onstein - ISPRS International Journal of Geo-Information, 2020 - mdpi.com
Geospatial information has been indispensable for many application fields, including traffic
planning, urban planning, and energy management. Geospatial data are mainly stored in …

Performance analysis of IoT-based sensor, big data processing, and machine learning model for real-time monitoring system in automotive manufacturing

M Syafrudin, G Alfian, NL Fitriyani, J Rhee - Sensors, 2018 - mdpi.com
With the increase in the amount of data captured during the manufacturing process,
monitoring systems are becoming important factors in decision making for management …

A personalized healthcare monitoring system for diabetic patients by utilizing BLE-based sensors and real-time data processing

G Alfian, M Syafrudin, MF Ijaz, MA Syaekhoni… - Sensors, 2018 - mdpi.com
Current technology provides an efficient way of monitoring the personal health of
individuals. Bluetooth Low Energy (BLE)-based sensors can be considered as a solution for …

A machine learning driven threat intelligence system for malicious URL detection

C Rupa, G Srivastava, S Bhattacharya… - Proceedings of the 16th …, 2021 - dl.acm.org
Malicious websites predominantly promote the growth of criminal activities over the Internet
restraining the development of web services. Furthermore, we see different types of devices …

[PDF][PDF] Big data and cloud computing

Y Li, M Yu, M Xu, J Yang, D Sha, Q Liu… - Manual of digital …, 2020 - library.oapen.org
Big data emerged as a new paradigm to provide unprecedented content and value for
Digital Earth. Big Earth data are increasing tremendously with growing heterogeneity …

Array DBMS: past, present, and (near) future

RAR Zalipynis - Proceedings of the VLDB Endowment, 2021 - dl.acm.org
Array DBMSs strive to be the best systems for managing, processing, and even visualizing
big Nd arrays. The last decade blossomed with R&D in array DBMS, making it a young and …

Overture Point of Interest data for the United Kingdom: A comprehensive, queryable open data product, validated against Geolytix supermarket data

P Ballantyne, C Berragan - Environment and Planning B …, 2024 - journals.sagepub.com
Point of Interest data that is globally available, open access and of good quality is sparse,
despite being important inputs for research in a number of application areas. New data from …

A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data

F Hu, C Yang, Y Jiang, Y Li, W Song… - … Journal of Digital …, 2020 - Taylor & Francis
Earth observations and model simulations are generating big multidimensional array-based
raster data. However, it is difficult to efficiently query these big raster data due to the …

An efficient visual exploration approach of geospatial vector big data on the web map

Z Liu, L Chen, M Ma, A Yang, Z Zhong, N Jing - Information Systems, 2024 - Elsevier
The visual exploration of geospatial vector data has become an increasingly important part
of the management and analysis of geospatial vector big data (GVBD). With the rapid growth …