dc.creator |
Hassan, Kilavo |
|
dc.creator |
Michael, Kisangiri |
|
dc.creator |
Mrutu, Salehe I. |
|
dc.date |
2019-08-22T07:00:16Z |
|
dc.date |
2019-08-22T07:00:16Z |
|
dc.date |
2015-12 |
|
dc.date.accessioned |
2022-10-25T09:15:54Z |
|
dc.date.available |
2022-10-25T09:15:54Z |
|
dc.identifier |
http://dspace.nm-aist.ac.tz/handle/123456789/415 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/94686 |
|
dc.description |
Research Article published by International Journal of Computer Science and Information Security (IJCSIS), Vol. 13, No. 12, December 2015 |
|
dc.description |
As the adoption of Information and Communication
Technology (ICT) tools in production and service rendering
sectors increases, the demand for digital data storage with large
storage capacity also increases. Higher storage media systems
reliability and fault tolerance are among the key factors that the
existing systems sometimes fail to meet and therefore, resulting
into data loss. Forward error correction is one of the techniques
applied to reduce the impact of data loss problem in digital data
storage. This paper presents a survey conducted in different
digital data storage companies in Dar es Salam, Tanzania. Data
were collected and analyzed using Statistical Package for Social
Sciences (SPSS). Secondary data were captured from user and
manufacturer technical reports. It was revealed that data loss is
still a predominant challenge in the digital data storage industry.
Therefore, the study proposes the new storage media FEC model
using locked convolutional encoder with the enhanced NTCViterbi
decoder. |
|
dc.format |
application/pdf |
|
dc.language |
en |
|
dc.publisher |
International Journal of Computer Science and Information Security (IJCSIS) |
|
dc.subject |
Storage Media |
|
dc.title |
Forward Error Correction for Storage Media: An Overview |
|
dc.type |
Article |
|