Tetrahedral tile pasting systems

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Annals of Mathematics and Artificial Intelligence Pub Date : 2023-05-06 DOI:10.1007/s10472-023-09840-7
T. Kalyani, S. Annadurai, T. T. Raman, D. G. Thomas
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Abstract

Tile pasting system is a parallel generating model which glues two square tiles at their edges to create intricate tiling patterns. It is extended by using three dimensional objects namely tetrahedral tiles and the patterns generated are used to decorate floors and walls. In the literature k-Tabled Tetrahedral Tile Pasting System (k-TTTPS) and Tetrahedral Tile Pasting P System (TetTPPS) were introduced to generate tetrahedral picture patterns. In this paper, Controlled Tabled Tetrahedral Tile Pasting System (CTTTPS) is proposed to generate tetrahedral picture patterns and CTTTPS is compared with k-TTTPS and TetTPPS in terms of generative powers. It is proved that CTTTPS has more generative power than the generative powers of k-TTTPS and TetTPPS. Extended Tetrahedral Tile Pasting System (ETTPS) and Extended Tetrahedral Tile Pasting P System (ETTPPS) are also proposed in this paper and are compared with CTTTPS in terms of their generative powers. This study has connections with pattern recognition and image analysis with applications in tiling of tetrahedral patterns.

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四面体瓷砖粘贴系统
瓷砖粘贴系统是一种并行生成模型,它将两块正方形瓷砖的边缘粘贴在一起,从而生成复杂的瓷砖图案。它通过使用三维物体(即四面体瓷砖)进行扩展,生成的图案可用于装饰地板和墙壁。文献中介绍了 k-Tabled Tetrahedral Tile Pasting System (k-TTTPS) 和 Tetrahedral Tile Pasting P System (TetTPPS),用于生成四面体图案。本文提出了用于生成四面体图案的可控四面体瓷砖粘贴系统(CTTTPS),并对 CTTTPS 与 k-TTTPS 和 TetTPPS 的生成能力进行了比较。结果证明,CTTTPS 比 k-TTTPS 和 TetTPPS 的生成能力更强。本文还提出了扩展四面体瓦片粘贴系统(ETTPS)和扩展四面体瓦片粘贴 P 系统(ETTPPS),并将其与 CTTTPS 的生成能力进行了比较。这项研究与模式识别和图像分析有关,可应用于四面体图案的平铺。
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来源期刊
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence 工程技术-计算机:人工智能
CiteScore
3.00
自引率
8.30%
发文量
37
审稿时长
>12 weeks
期刊介绍: Annals of Mathematics and Artificial Intelligence presents a range of topics of concern to scholars applying quantitative, combinatorial, logical, algebraic and algorithmic methods to diverse areas of Artificial Intelligence, from decision support, automated deduction, and reasoning, to knowledge-based systems, machine learning, computer vision, robotics and planning. The journal features collections of papers appearing either in volumes (400 pages) or in separate issues (100-300 pages), which focus on one topic and have one or more guest editors. Annals of Mathematics and Artificial Intelligence hopes to influence the spawning of new areas of applied mathematics and strengthen the scientific underpinnings of Artificial Intelligence.
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