Purpose
– The purpose of this paper is to make the test of flexible printed circuit (FPC) board be more efficient and accurate.
Design/methodology/approach
– This paper aims to segment an image through applying the technology of computer pattern recognition.
Findings
– The results indicate that the automatic detection system of FPC board’s defect has high efficiency and accuracy in accordance with the requirements of detection.
Originality/value
– This paper managed image segmentation through applying the technology of computer pattern recognition.
As an extension of the fuzzy relation linear programming, geometric programming with single-variable term subject to max–min fuzzy relation equations is a nonlinear and non-convex problem. To deal with this problem, we develop the variable substitution method to find out all of the optimal solutions (if not unique). The variable substitution method is carried out by the resolution procedures with an illustrative example. In addition, the proposed method is applied to the optimization management in laboratory Peer-to-Peer network system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.