CONTROLLING CHAOTIC INSTABILITIES IN BRILLOUIN FIBER SENSOR BASED ON NEURAL NETWORKS

Tae- Su Jnag, Kwan-Woong Kim, Yong K. Kim

2012

Abstract

In this paper the neuron operation based on neural network in optical fibre system has described. The inherent feedback wave in optical fibre leads to instabilities in the form of optical chaos. Below threshold value temporal evolution has periodic and can become chaotic condition. Controlling of chaotic induced transient instability in Brillouin fibre sensor has been implemented with Kerr nonlinearity with 13GHz backward shift, IR detector with 20ps impulse response, and ~10ns round trip time in optical network. The detected sensor has up-shifted in frequency by about ~20MHz from sensing target. The Controlling chaotic instabilities can lead to stable and periodical states; create optical logic data streams. It can lead to large optical memory capacity in neural networks.

Paper Citation

in Harvard Style

Jnag T., Kim K. and K. Kim Y. (2012). CONTROLLING CHAOTIC INSTABILITIES IN BRILLOUIN FIBER SENSOR BASED ON NEURAL NETWORKS . In Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-01-3, pages 177-180. DOI: 10.5220/0003833001770180

in Bibtex Style

@conference{sensornets12,
author={Tae- Su Jnag and Kwan-Woong Kim and Yong K. Kim},
title={CONTROLLING CHAOTIC INSTABILITIES IN BRILLOUIN FIBER SENSOR BASED ON NEURAL NETWORKS},
booktitle={Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2012},
pages={177-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003833001770180},
isbn={978-989-8565-01-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - CONTROLLING CHAOTIC INSTABILITIES IN BRILLOUIN FIBER SENSOR BASED ON NEURAL NETWORKS
SN - 978-989-8565-01-3
AU - Jnag T.
AU - Kim K.
AU - K. Kim Y.
PY - 2012
SP - 177
EP - 180
DO - 10.5220/0003833001770180