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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 30, Number 7(1) (2018)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 1509-1516
S&M1605 Research Paper of Special Issue https://doi.org/10.18494/SAM.2018.1887 Published: July 13, 2018 Bioelectric Potentials of Plant for Determining Human Positions [PDF] Imam Tahyudin and Hidetaka Nambo (Received December 31, 2017; Accepted February 20, 2018) Keywords: natural sensor, bioelectric potential plant, position estimation, MOPAR
The use of plants as biological monitors to detect human behavior is very interesting to investigate. One benefit is to know the position of elderly people living alone in a house in order to avoid accidents resulting in death because help is not immediate. In this study, we use an association analysis with the particle swarm optimization approach. This method is called MOPAR or multi-objective of particle swarm optimization for numerical association rule mining. Real data sets of the bioelectric potentials of plants were used to obtain rules and to examine the accuracy of the method. This method shows promising results.
Corresponding author: Hidetaka Nambo Cite this article Imam Tahyudin and Hidetaka Nambo, Bioelectric Potentials of Plant for Determining Human Positions, Sens. Mater., Vol. 30, No. 7, 2018, p. 1509-1516. |
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