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A human vision system-based approach to improve computing efficiency in information systems

Author

Listed:
  • Jianxun Li
  • Jim Q. Chen
  • Weiqian Li

Abstract

While a lot of research has been done in system design, reducing computational complexity is still a core problem in information systems. In order to break through the bottleneck of computing efficiency, this paper draws on the powerful processing capability of the human vision system (HVS) to propose a pixel domain computing framework. It converts the original problem into pixel operations, and pixels are taken as the basic unit to change the construction process of data analysis. The framework significantly decreases computational complexity, simplifies programming logic, and enhances the automaticity of information system. Our results demonstrate that the efficiency of the containment test is improved by 30 times, the logic complexity of the intersection area measurement is reduced by a factor of five, and the automaticity of root finding is significantly heightened.

Suggested Citation

  • Jianxun Li & Jim Q. Chen & Weiqian Li, 2019. "A human vision system-based approach to improve computing efficiency in information systems," International Journal of Information Systems and Change Management, Inderscience Enterprises Ltd, vol. 11(1), pages 44-55.
    • Handle: RePEc:ids:ijiscm:v:11:y:2019:i:1:p:44-55
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