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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, the quantum-dot Largeneighborhood 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.

Original languageEnglish
Title of host publicationProceedings of the 2001 1st IEEE Conference on Nanotechnology, IEEE-NANO 2001
PublisherIEEE Computer Society
Pages331-334
Number of pages4
ISBN (Electronic)0780372158
DOIs
StatePublished - 1 Jan 2001
Event1st IEEE Conference on Nanotechnology, IEEE-NANO 2001 - Maui, United States
Duration: 28 Oct 200130 Oct 2001

Publication series

NameProceedings of the IEEE Conference on Nanotechnology
Volume2001-January
ISSN (Print)1944-9399
ISSN (Electronic)1944-9380

Conference

Conference1st IEEE Conference on Nanotechnology, IEEE-NANO 2001
CountryUnited States
CityMaui
Period28/10/0130/10/01

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