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With the development of civil aviation and the increasing demand of good service, the importance of evaluating the capacity of the runway at the airport is obvious. The paper proposes a fast method to evaluate the runway which is based on the arrival-departure curve and statistical analysis and overcome the boundedness of historical data. This method can make a balance between the precision and implementing...
Hybrid methods of spatial credibilistic clustering and particle swarm optimization (SCCPSO) (Wen et al. in Int J Fuzzy Syst 10:174–184, 2008) are validated to be effective, and produce better results than other common methods. In this paper, SCCPSO is further investigated and a modified SCCPSO is put forward by discussing the membership functions and presenting a pre-selection method based on proving...
As a critical unit of computer vision (CV) based applications, image segmentation is quite worth studying. Hybrid method of spatial credibilistic clustering and particle swarm optimization (SCCPSO) is a novel effective segmentation method. It's proved to produce better results than other common methods. In this paper, SCCPSO is further investigated by discussing several key points such as membership...
Quality control plays an important and key role in manufacturing process. This paper defines a problem realizing real-time quality control based on image processing and sensor network, divides the problem into four sub-problems, as well as puts forwards the overall schema to solve the problem. Then the first sub-problem, object recognition, is focused on, its system design pattern is presented, and...
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