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Sudipta Chowdhury,Mohammad Marufuzzaman,Huseyin Tunc,Linkan Bian,William Bullington 한국CDE학회 2019 Journal of computational design and engineering Vol.6 No.3
This study presents a novel Ant Colony Optimization (ACO) framework to solve a dynamic traveling sales-man problem. To maintain diversity via transferring knowledge to the pheromone trails from previous environments, Adaptive Large Neighborhood Search (ALNS) based immigrant schemes have been devel-oped and compared with existing ACO-based immigrant schemes available in the literature. Numerical results indicate that the proposed immigrant schemes can handle dynamic environments efficiently com-pared to other immigrant-based ACOs. Finally, a real life case study for wildlife surveillance (specifically, deer) by drones has been developed and solved using the proposed algorithm. Results indicate that the drone service capabilities can be significantly impacted when the dynamicity of deer are taken into consideration.
Swati Chowdhury,Sudipta Roy,Anirban Mitra,Prasenjit Das 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.7
Image segmentation subdivided an image into its constituent regions or segments. This regions or segments of an image is known as ‘cluster’ and the method used for this is called ‘clustering method’. There are different methods or algorithms are out there to segment an image. There is a problem with those algorithms user has to supply the number of cluster in which it has to be segmented. Here we introduced a method using combination of both entropy of RGB color component and histogram to automatic determination of cluster present in a color image.