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ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
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Scopus
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CNKI
,
etc
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Acceptance Rate:
19%
APC:
500 USD
Average Days to Accept:
135 days
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Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-03-28
Vol. 15, No. 3 has been published online!
2024-02-26
The papers published in Vol. 15, Nos. 1&2 have been registered with Crossref.
2024-02-26
Vol. 15, No. 2 has been published online!
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2020
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Volume 11, No. 3, August 2020
>
Feature Selection Based on Euclid Distance and Neuro-fuzzy System
Seok-Woo Jang
1
and Sang-Hong Lee
2
1. Department of Software, Anyang University, Anyang-si, Republic of Korea
2. Department of Computer Science & Engineering, Anyang University, Anyang-si, Republic of Korea
Abstract
—This article suggests the method to distinguish normal persons and a Parkinson’s disease patients by their sole pressure sensor data using NEWFM (Neural Network with Weighted Fuzzy Membership Functions). To make the features to be used as initial input data of NEWFM, the left and right sole pressure sensor data were extracted at the 1st step. In the 2nd step, the frequency scales of the characteristics extracted in the 1st step were divided into individual scales by the FFT (Fast Fourier Transform) using the Hamming method. In the final step, 1 to 15 dimensions were extracted as the characteristics from the values of the individual frequency scales produced in the 2st step by the PCA (Principal Component Analysis). The 75.90% in accuracy performance was acquired from the 8 dimensions with the highest performance, using them as the characteristics.
Index Terms
—Parkinson’s disease, gait, FFT, PCA, NEWFM
Cite: Seok-Woo Jang and Sang-Hong Lee, "Feature Selection Based on Euclid Distance and Neuro-fuzzy System," Journal of Advances in Information Technology, Vol. 11, No. 3, pp. 155-160, August 2020. doi: 10.12720/jait.11.3.155-160
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
7-DY003_Korea
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