Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/15623,
  title    = {A Prototype of Augmented Reality for Visualising Large Sensors’ Datasets},
  author    = {Folorunso Olufemi Ayinde and  Mohd Shahrizal Sunar and  Sarudin Kari and  Dzulkifli Mohamad},
  country   = {},
  institution={},
  abstract  = {In this paper we discuss 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. Therefore we have developed a data model to effectively manage such data and enhance the computational support needed for the effective data explorations. A challenge of this approach is to reduce the data inefficiency powered by the disparate, repeated, inconsistent and missing attributes of most available sensors datasets. To handle this challenge, this paper aim to develop an AR-based scientific visualization interface which automatically identifies, localise and visualizes all necessary data relevant to a particularly selected region of interest (ROI) along the virtual pipeline network. Necessary system architectural supports needed as well as the interface requirements for such visualizations are also discussed in this paper.
},
  {International Journal of Computer and Information Engineering },  volume    = {5},
  number    = {7},
  year      = {2011},
  pages     = {796 - 802},
  ee        = {http://waset.org/publications/15623},
  url       = {http://waset.org/Publications?p=55},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 55, 2011},
}