Earticle

초록

영어

Pipeline 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. 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 pipeline leakages sensors datasets. 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. Necessary system architectural supports needed as well as the interface requirements for such visualizations are also discussed in this paper.

목차

Abstract
 1. Introduction
 2. AR for Sensors’ Datasets Visualization
 3. Proposed Data Model
 4. The AR-Based Visualization Interface
  4.1. Interface Requirement 1
  4.2. Interface Requirement 2
  4.3 Interface Requirement 3
  4.4 Interface Requirement 4
 5. Results and Discussion
 6. Conclusions
 7. Future Works
 References

키워드

저자

• Folorunso Olufemi A [ UTMViCubeLab, FSKSM, Universiti Teknologi Malaysia ]
• Ikotun Motunrayo A. [ Computer Tech. Dept., Yaba College of Technology, Lagos ]
• Oyelami O. Julius [ Information Systems Dept., FSKSM, Universiti Teknologi Malaysia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605