@inproceedings{ed391e9cf69e48368216aa55b42aad2a,
title = "Web-Enabled Intelligent System for Real-Time, Continuous Sensor Data Processing and Visualization",
abstract = "A large number of sensors deployed in recent years in various setups and their data is readily available in dedicated databases or in the cloud. Of particular interest is real-time data processing and 3D visualization in web-based user interfaces that facilitate spatial information understanding and sharing, hence helping the decision making process for all the parties involved. In this research, we provide a prototype system for near realtime, continuous X3D-based visualization of processed sensor data for two significant applications: thermal monitoring for residential/ commercial buildings and nitrogen cycle monitoring in water beds for aquaponics systems. As sensors are sparsely placed, in each application, where they collect data for large periods (of up to one year), we employ a Finite Differences Method and a Neural Networks model to approximate data distribution in the entire volume.",
keywords = "Big data, Heat maps, Interactive simulation, Nitrogen cycle, Web3D, X3D",
author = "Hamza-Lup, \{Felix G.\} and Iacob, \{Ionut E.\} and Sushmita Khan",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 24th International ACM Conference on 3D Web Technology, Web3D 2019 ; Conference date: 26-07-2019 Through 28-07-2019",
year = "2019",
month = jul,
day = "26",
doi = "10.1145/3329714.3338127",
language = "English",
series = "Proceedings - Web3D 2019: 24th International ACM Conference on 3D Web Technology",
publisher = "Association for Computing Machinery, Inc",
editor = "Spencer, \{Stephen N.\}",
booktitle = "Proceedings - Web3D 2019",
}