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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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Sensors and Materials
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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 37, Number 6(2) (2025)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2307-2323
S&M4057 Research Paper of Special Issue https://doi.org/10.18494/SAM5570 Published: June 20, 2025 Digital Integration of Data and Information into System Model of Aerospace Equipment [PDF] Wenqiang Yuan, YongKang Chen, Kun Peng, Shiqi Ma, Benli Yuan, Yusheng Liu, Jianjun Li, and Chih-Cheng Chen (Received January 27, 2025; Accepted May 16, 2025) Keywords: aerospace equipment, system modeling, knowledge integration
We have investigated how to integrate data and information and system modeling for the effective management of aerospace equipment. The method of such integration can be developed through the in-depth study of relevant data and information and the characteristics of system models. Solutions and methods are proposed to design and develop efficient aerospace equipment management. The proposed method is important for the technological advancement and development of the aerospace industry and provides a reference for further development of system models in other engineering applications.
Corresponding author: Chih-Cheng Chen  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Wenqiang Yuan, YongKang Chen, Kun Peng, Shiqi Ma, Benli Yuan, Yusheng Liu, Jianjun Li, and Chih-Cheng Chen , Digital Integration of Data and Information into System Model of Aerospace Equipment, Sens. Mater., Vol. 37, No. 6, 2025, p. 2307-2323. |
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