A DNA Memory Translator for Multiple Languages

Yi Man Huang, Shien-Fong Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As the demand for data storage is growing exponentially, higher density and durable storage solutions are necessary. DNA has many potential advantages as a medium for information storage because it is extremely dense, high capacity, low-maintenance and durability. Previous research has focused on ASCII code files or pictures, which ignored expression with other languages encoded with Unicode. We provide a DNA translator for multiple languages and also discuss the influence of entropy in different dataset. The effect of Huffman code encoding and ternary code encoding for different dataset are also compared. Our results indicate that the DNA memory translator system is very efficient for the dataset with low entropy.

Original languageEnglish (US)
Title of host publication2018 International Conference on System Science and Engineering, ICSSE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538662854
DOIs
StatePublished - Nov 1 2018
Externally publishedYes
Event2018 International Conference on System Science and Engineering, ICSSE 2018 - New Taipei City, Taiwan, Province of China
Duration: Jun 28 2018Jun 30 2018

Other

Other2018 International Conference on System Science and Engineering, ICSSE 2018
CountryTaiwan, Province of China
CityNew Taipei City
Period6/28/186/30/18

Fingerprint

Encoding
DNA
Huffman Codes
Entropy
Data storage equipment
Durability
Data Storage
Ternary
Maintenance
Necessary
Language
Demand
Influence

Keywords

  • DNA memory
  • Encoding
  • Entropy
  • Unicode text

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

Cite this

Huang, Y. M., & Lin, S-F. (2018). A DNA Memory Translator for Multiple Languages. In 2018 International Conference on System Science and Engineering, ICSSE 2018 [8520146] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSSE.2018.8520146

A DNA Memory Translator for Multiple Languages. / Huang, Yi Man; Lin, Shien-Fong.

2018 International Conference on System Science and Engineering, ICSSE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8520146.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, YM & Lin, S-F 2018, A DNA Memory Translator for Multiple Languages. in 2018 International Conference on System Science and Engineering, ICSSE 2018., 8520146, Institute of Electrical and Electronics Engineers Inc., 2018 International Conference on System Science and Engineering, ICSSE 2018, New Taipei City, Taiwan, Province of China, 6/28/18. https://doi.org/10.1109/ICSSE.2018.8520146
Huang YM, Lin S-F. A DNA Memory Translator for Multiple Languages. In 2018 International Conference on System Science and Engineering, ICSSE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8520146 https://doi.org/10.1109/ICSSE.2018.8520146
Huang, Yi Man ; Lin, Shien-Fong. / A DNA Memory Translator for Multiple Languages. 2018 International Conference on System Science and Engineering, ICSSE 2018. Institute of Electrical and Electronics Engineers Inc., 2018.
@inproceedings{d18ab8b85fe2498b821799ac1975c2a3,
title = "A DNA Memory Translator for Multiple Languages",
abstract = "As the demand for data storage is growing exponentially, higher density and durable storage solutions are necessary. DNA has many potential advantages as a medium for information storage because it is extremely dense, high capacity, low-maintenance and durability. Previous research has focused on ASCII code files or pictures, which ignored expression with other languages encoded with Unicode. We provide a DNA translator for multiple languages and also discuss the influence of entropy in different dataset. The effect of Huffman code encoding and ternary code encoding for different dataset are also compared. Our results indicate that the DNA memory translator system is very efficient for the dataset with low entropy.",
keywords = "DNA memory, Encoding, Entropy, Unicode text",
author = "Huang, {Yi Man} and Shien-Fong Lin",
year = "2018",
month = "11",
day = "1",
doi = "10.1109/ICSSE.2018.8520146",
language = "English (US)",
booktitle = "2018 International Conference on System Science and Engineering, ICSSE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - A DNA Memory Translator for Multiple Languages

AU - Huang, Yi Man

AU - Lin, Shien-Fong

PY - 2018/11/1

Y1 - 2018/11/1

N2 - As the demand for data storage is growing exponentially, higher density and durable storage solutions are necessary. DNA has many potential advantages as a medium for information storage because it is extremely dense, high capacity, low-maintenance and durability. Previous research has focused on ASCII code files or pictures, which ignored expression with other languages encoded with Unicode. We provide a DNA translator for multiple languages and also discuss the influence of entropy in different dataset. The effect of Huffman code encoding and ternary code encoding for different dataset are also compared. Our results indicate that the DNA memory translator system is very efficient for the dataset with low entropy.

AB - As the demand for data storage is growing exponentially, higher density and durable storage solutions are necessary. DNA has many potential advantages as a medium for information storage because it is extremely dense, high capacity, low-maintenance and durability. Previous research has focused on ASCII code files or pictures, which ignored expression with other languages encoded with Unicode. We provide a DNA translator for multiple languages and also discuss the influence of entropy in different dataset. The effect of Huffman code encoding and ternary code encoding for different dataset are also compared. Our results indicate that the DNA memory translator system is very efficient for the dataset with low entropy.

KW - DNA memory

KW - Encoding

KW - Entropy

KW - Unicode text

UR - http://www.scopus.com/inward/record.url?scp=85057595219&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85057595219&partnerID=8YFLogxK

U2 - 10.1109/ICSSE.2018.8520146

DO - 10.1109/ICSSE.2018.8520146

M3 - Conference contribution

AN - SCOPUS:85057595219

BT - 2018 International Conference on System Science and Engineering, ICSSE 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -