Paper
2 May 2006 Design error corrector of binary data in holographic data storage system using fuzzy rules
Jang-hyun Kim, Sang-hoon Kim, Hyun-seok Yang, Yong-pil Park, Jin-bae Park
Author Affiliations +
Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60422A (2006) https://doi.org/10.1117/12.664651
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China
Abstract
Data storage related with writing and retrieving requires high storage capacity, fast transfer rate and less access time. Today any data storage system cannot satisfy these conditions, however holographic data storage system can perform faster data transfer rate because it is a page oriented memory system using volume hologram in writing and retrieving data. System can be constructed without mechanical actuating part therefore fast data transfer rate and high storage capacity about 1Tb/cm3 can be realized. In this paper, to reduce errors of binary data stored in holographic data storage system, a new method for bit error reduction is suggested. First, find cluster centers using subtractive clustering algorithm then reduce intensities of pixels around cluster centers and fuzzy rules. Therefore, By using this error reduction method following results are obtained; the effect of Inter Pixel Interference noise is decreased and the intensity profile of data page becomes uniform therefore the better data storage system can be constructed.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jang-hyun Kim, Sang-hoon Kim, Hyun-seok Yang, Yong-pil Park, and Jin-bae Park "Design error corrector of binary data in holographic data storage system using fuzzy rules", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60422A (2 May 2006); https://doi.org/10.1117/12.664651
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data storage

Binary data

Fuzzy logic

Holographic data storage systems

Data centers

Error analysis

Fuzzy systems

Back to Top