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

A. Febrian; M. Fajar; M.I. Tawakal; E.M. Imah; W. Jatmiko; D.H. Ramdani; A. Bowolaksono; P. Mursanto

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

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A. Febrian, M. Fajar, M.I. Tawakal, E.M. Imah, W. Jatmiko, D.H. Ramdani, A. Bowolaksono, P. Mursanto

2011 ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings Conference paper Cited by 3

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. © 2011 Universitas Indonesia.

Affiliations

Faculty of Computer Science, Universitas Indonesia, Depok, West Java, Indonesia; Faculty of Public Health, Universitas Indonesia, Depok, West Java, Indonesia; Faculty of Mathematics and Natural Science, Universitas Indonesia, Depok, West Java, Indonesia; Mathematics Department, Universitas Negeri Surabaya, Surabaya, East Java, Indonesia

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