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2007 IEEE International Conference on Granular Computing (GRC 2007)
Fuzzy Logic Approach to Identification of Cellular Quantity by Ultrasonic System
San Jose, California
November 02-November 04
ISBN: 0-7695-3032-X
ASCII Text
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Satoshi Yamaguchi, Kouki Nagamune, Keisuke Oe, Syoji Kobashi, Katsuya Kondo, Yutaka Hata, "Fuzzy Logic Approach to Identification of Cellular Quantity by Ultrasonic System," Granular Computing, IEEE International Conference on, pp. 636, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007.
 
 
BibTex
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@article{ 10.1109/GrC.2007.68,
author = {Satoshi Yamaguchi and Kouki Nagamune and Keisuke Oe and Syoji Kobashi and Katsuya Kondo and Yutaka Hata},
title = {Fuzzy Logic Approach to Identification of Cellular Quantity by Ultrasonic System},
journal ={Granular Computing, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-3032-X},
pages = {636},
doi = {http://doi.ieeecomputersociety.org/10.1109/GrC.2007.68},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Granular Computing, IEEE International Conference on
TI - Fuzzy Logic Approach to Identification of Cellular Quantity by Ultrasonic System
SN - 0-7695-3032-X
SP
EP
A1 - Satoshi Yamaguchi,
A1 - Kouki Nagamune,
A1 - Keisuke Oe,
A1 - Syoji Kobashi,
A1 - Katsuya Kondo,
A1 - Yutaka Hata,
PY - 2007
VL - 0
JA - Granular Computing, IEEE International Conference on
ER -
 
This paper introduces an ultrasound identification system for cellular quantity of artificial culture bone with fuzzy inference. In our method, first, we measure ultrasound wave. Second, we obtain the two characteristics of the amplitude and the frequency. The amplitude is calculated as the Peak to Peak value, and the frequency is calculated from frequency spectrum of transfer-function by using cross-spectrum method. Our fuzzy inferences system estimates the cellular quantity from these values. As an experimental result, our identification system could evaluate the cellular quantity in culture bone with high accuracy.
Citation:
Satoshi Yamaguchi, Kouki Nagamune, Keisuke Oe, Syoji Kobashi, Katsuya Kondo, Yutaka Hata, "Fuzzy Logic Approach to Identification of Cellular Quantity by Ultrasonic System," grc, pp.636, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007
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