Document Type
Conference Proceeding
Publication Date
4-22-2007
Publication Title
Second International Conference on Systems, 2007, ICONS '07
Publisher
IEEE
First page number:
47
Last page number:
52
Abstract
Nesting algorithms deal with placing two dimensional shapes on the given canvas. In this paper a binary way of solving the nesting problem is proposed. Geometric shapes are quantized into binary form, which is used to operate on them. After finishing nesting they are converted back into original geometrical form. Investigations showed, that there is a big influence of quantization accuracy for the nesting effect. However, greater accuracy results with longer time of computation. The proposed knowledge base system is able to strongly reduce the computational time.
Keywords
Algorithms; Computer algorithms; Forms; Binary; Geometric quantization
Disciplines
Computer and Systems Architecture | Computer Engineering | Electrical and Computer Engineering | Engineering
Language
English
Permissions
Copyright IEEE. Post print used with permission.
Repository Citation
Koszalka, L.,
Chmaj, G.
(2007).
Nesting System with Quantization and Knowledge Base Applied.
Second International Conference on Systems, 2007, ICONS '07
47-52.
IEEE.
https://digitalscholarship.unlv.edu/ece_fac_articles/847