Augmented Reality Prototype for Visualising Large Sensors’ Datasets
Abstract: This paper addressed
the development of an augmented reality (AR) based scientific visualization
system prototype that supports identification, localisation, and 3D
visualisation of oil leakages sensors datasets. Sensors generates significant
amount of multivariate datasets during normal and leak situations which made
data exploration and visualisation daunting tasks. Therefore a model to manage
such data and enhance computational support needed for effective explorations
are developed in this paper. A challenge of this approach is to reduce the data
inefficiency. This paper presented a model for computing information gain for
each data attributes and determine a lead attribute.The computed lead attribute
is then used for the development of an AR-based scientific visualization
interface which automatically identifies, localises and visualizes all
necessary data relevant to a particularly selected region of interest (ROI) on
the network. Necessary architectural system supports and the interface
requirements for such visualizations are also presented.
Author: Folorunso Olufemi A.,
Mohd Shahrizal S. Mohd Shahrizal S., Ikotun Abiodun M.
Journal Code: jptkomputergg110023
