The quantum-dot large-neighborhood cellular nonlinear network (QLN-CNN) in nanotechnology

Author

Lin, Li-Ju ; Cheng, Chiu-Hung ; Huang, Kuan-Hsun ; Wu, Chung-Yu

Author_Institution

Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

2001

fDate

2001

Firstpage

331

Lastpage

334

Abstract

The quantum-dot large-neighborhood cellular neural (nonlinear) network (QLN-CNN) is proposed and analyzed. In the proposed QLN-CNN, the quantum dots are used to realized neuron cells whereas the strength of Coulombic forces among neurons are used as weights among neurons. The proposed QLN-CNN can perform the functions of image noise removal. It has small chip area and high cell density. Moreover, the power dissipation is very low. Thus large-size QLN-CNN could be realized for nanoelectronic systems

Keywords

VLSI; cellular neural nets; low-power electronics; nanotechnology; neural chips; semiconductor quantum dots; Coulombic forces; QLN-CNN; cell density; chip area; image noise removal; nanotechnology; neuron cells; power dissipation; quantum dots; quantum-dot large-neighborhood cellular nonlinear network; Cellular networks; Cellular neural networks; Electrons; Integrated circuit interconnections; Intelligent networks; Nanotechnology; Neurons; Power dissipation; Quantum cellular automata; Quantum dots;

fLanguage

English

Publisher

ieee

Conference_Titel

Nanotechnology, 2001. IEEE-NANO 2001. Proceedings of the 2001 1st IEEE Conference on

Conference_Location

Maui, HI

Print_ISBN

0-7803-7215-8

Type

conf

DOI

10.1109/NANO.2001.966443

Filename

966443