Quantum Generators: Functional Model for the Self-Assembly of Cells from the Structured Compute Units.

EasyChair Preprint 5356

Abstract

Quantum Generators is a means of achieving mass food production with short production cycles, and when and where required by means of machines rather than land based farming which has serious limitations. The process for agricultural practices for plant growth in different stages is simulated in a machine with a capacity to produce multiple seeds from one seed input using computational models of multiplication (generating multiple copies of kernel in repetition). In this paper, we present a method to produce living natural tissues of crops that are constructed by acquiring several small and more detailed images of large objects and then compose a larger image structure by combining these small images. The main goal of this method is to create structures that are identical to the natural structure that are found in the tissues in the crops.  Hence we define functions that support cell types and the composition of cell matrix. We look at Models for creating cell types which will be then self-assembled to create building blocks of natural tissues with independent arrangement and patterning to provide the required architecture. Results show that the proposed method performs well with sample cell images obtained from the Internet.

Keyphrases: Merging Structures, Quantum Generators, image merging

@booklet{EasyChair:5356,
  author    = {Poondru Prithvinath Reddy},
  title     = {Quantum Generators: Functional Model for the Self-Assembly of Cells from the Structured Compute Units.},
  howpublished = {EasyChair Preprint 5356},
  year      = {EasyChair, 2021}}