FNLVQ design and implementation in FPGA to estimate trichloroethylene in white mouse liver images

A. Febrian, M. Fajar, M. I. Tawakal, E. M. Imah, Wisnu Jatmiko, D. H. Ramdani, Anom Bowolaksono, Petrus Mursanto

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

3 Citations (Scopus)

Abstract

Embedded systems are more popular these days, including in biomedical field. There have been so many devices developed in this field, yet there are also so many open problems that waiting to be solved. One of the open problems is determining Trichloroethylene degree in human heart using Fuzzy-Neuro Learning Vector Quantization. These technique then implemented in Spartan®-3AN board, which is has lower capability compare to computer. In this paper, we show our approach in implementing FNLVQ in Spartan®-3AN board. Our testing shows that the FNLVQ accuracy is only degrade by 2 point.

Original languageEnglish
Title of host publicationICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
Pages119-124
Number of pages6
Publication statusPublished - 1 Dec 2011
Event2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011 - Jakarta, Indonesia
Duration: 17 Dec 201118 Dec 2011

Publication series

NameICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings

Conference

Conference2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011
Country/TerritoryIndonesia
CityJakarta
Period17/12/1118/12/11

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