Monte Carlo optimization of redundancy of nanotechnology computer memories in the conditions of background radiation
The aim of this paper is applying statistical laws and enlargement law to determine a redundancy level of nanotechnology computers with a pre-given statistical confidence. We have tested radiation hardness of MOS memory components (commercial EPROM memory) using both Monte Carlo simulation...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
VINCA Institute of Nuclear Sciences
2018-01-01
|
Series: | Nuclear Technology and Radiation Protection |
Subjects: | |
Online Access: | http://www.doiserbia.nb.rs/img/doi/1451-3994/2018/1451-39941802208D.pdf |
id |
doaj-c1110eb149574b8b9f844b23dc518c32 |
---|---|
record_format |
Article |
spelling |
doaj-c1110eb149574b8b9f844b23dc518c322020-11-24T21:53:05ZengVINCA Institute of Nuclear SciencesNuclear Technology and Radiation Protection1451-39941452-81852018-01-0133220821610.2298/NTRP1802208D1451-39941802208DMonte Carlo optimization of redundancy of nanotechnology computer memories in the conditions of background radiationDolićanin Edin0Fetahović Irfan S.1State University of Novi Pazar, Novi PazarState University of Novi Pazar, Novi PazarThe aim of this paper is applying statistical laws and enlargement law to determine a redundancy level of nanotechnology computers with a pre-given statistical confidence. We have tested radiation hardness of MOS memory components (commercial EPROM memory) using both Monte Carlo simulation method and experimental procedure. Then, by using the statistical enlargement law, we have performed the analysis of redundancy optimization of MOS structure for nanotechnology computers, under the influence of background radiation, and obtained more than satisfying results. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. 171007]http://www.doiserbia.nb.rs/img/doi/1451-3994/2018/1451-39941802208D.pdfnanotechnology computer memoryoptimizationredundancyMonte Carlo simulationradiation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dolićanin Edin Fetahović Irfan S. |
spellingShingle |
Dolićanin Edin Fetahović Irfan S. Monte Carlo optimization of redundancy of nanotechnology computer memories in the conditions of background radiation Nuclear Technology and Radiation Protection nanotechnology computer memory optimization redundancy Monte Carlo simulation radiation |
author_facet |
Dolićanin Edin Fetahović Irfan S. |
author_sort |
Dolićanin Edin |
title |
Monte Carlo optimization of redundancy of nanotechnology computer memories in the conditions of background radiation |
title_short |
Monte Carlo optimization of redundancy of nanotechnology computer memories in the conditions of background radiation |
title_full |
Monte Carlo optimization of redundancy of nanotechnology computer memories in the conditions of background radiation |
title_fullStr |
Monte Carlo optimization of redundancy of nanotechnology computer memories in the conditions of background radiation |
title_full_unstemmed |
Monte Carlo optimization of redundancy of nanotechnology computer memories in the conditions of background radiation |
title_sort |
monte carlo optimization of redundancy of nanotechnology computer memories in the conditions of background radiation |
publisher |
VINCA Institute of Nuclear Sciences |
series |
Nuclear Technology and Radiation Protection |
issn |
1451-3994 1452-8185 |
publishDate |
2018-01-01 |
description |
The aim of this paper is applying statistical laws and enlargement law to
determine a redundancy level of nanotechnology computers with a pre-given
statistical confidence. We have tested radiation hardness of MOS memory
components (commercial EPROM memory) using both Monte Carlo simulation
method and experimental procedure. Then, by using the statistical
enlargement law, we have performed the analysis of redundancy optimization
of MOS structure for nanotechnology computers, under the influence of
background radiation, and obtained more than satisfying results. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. 171007] |
topic |
nanotechnology computer memory optimization redundancy Monte Carlo simulation radiation |
url |
http://www.doiserbia.nb.rs/img/doi/1451-3994/2018/1451-39941802208D.pdf |
work_keys_str_mv |
AT dolicaninedin montecarlooptimizationofredundancyofnanotechnologycomputermemoriesintheconditionsofbackgroundradiation AT fetahovicirfans montecarlooptimizationofredundancyofnanotechnologycomputermemoriesintheconditionsofbackgroundradiation |
_version_ |
1725872900262592512 |