Authors: Jianxun Li; Jim Q. Chen; Weiqian Li
Addresses: Department of Management Science and Engineering, School of Economics and Management, Xi'an University of Technology, Xi'an, China ' Department of Information Systems, Herberger Business School, St. Cloud State University, St. Cloud, MN, USA ' Department of Software Engineering, School of Computer Science, Xi'an Polytechnic University, Xi'an, China
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.
Keywords: information systems design; computing efficiency; human vision system; HVS; managing software complexity.
International Journal of Information Systems and Change Management, 2019 Vol.11 No.1, pp.44 - 55
Received: 06 Oct 2018
Accepted: 05 May 2019
Published online: 13 Aug 2019 *