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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 34, Number 3(3) (2022)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 1163-1177
S&M2880 Research Paper of Special Issue https://doi.org/10.18494/SAM3497 Published: March 17, 2022 Development of Inventory Management System Based on Radio Frequency Identification Technology [PDF] Ming-Chih Chen, Yin-Ting Cheng, and Chung-Yu Siang (Received July 1, 2021; Accepted October 4, 2021) Keywords: radio frequency identification, Internet of Things, microwave, inventory
We present an inventory management system that is utilized to automatically check the tools and equipment in industrial plants and warehouses. The system utilizes radio frequency identification (RFID), a cloud database (MySQL), an Android-based application program (app), and a PC-based computer program to construct a real-time raw material inventory system. RFID tags are attached to the tools and equipment and connected to a network via the Internet of Things (IoT). Experimental results demonstrate that the system reduces labor costs and human errors in an industrial plant.
Corresponding author: Yin-Ting Cheng  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Ming-Chih Chen, Yin-Ting Cheng, and Chung-Yu Siang, Development of Inventory Management System Based on Radio Frequency Identification Technology, Sens. Mater., Vol. 34, No. 3, 2022, p. 1163-1177. |
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Special Issue on Signal Collection, Processing, and System Integration in Automation Applications 2026
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- Implementation of Deep-Neural-Network–based Unmanned Aerial Vehicle Platform for Fire Smoke Response: Wildfire Smoke Description Experiments
Tae-Hwan Kim, Eun-Su Seo, and Se-Hyu Choi - User-centric Real-time System for Building Disaster Alerts
Tae-Hwan Kim, Eun-Su Seo, and Se-Hyu Choi
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Chengcheng Li, Ming Dong, Hongli Li, Xunwen Yu, Yongxuan Liu, and Chong Zhang - Surface Albedo in Different Land Cover Types in Northeast China
Tao Pan, Fu Li, Yucheng Tao, Lijuan Zhang, and Xiaoyan Jiang
- High-precision Autonomous Driving Map Quality Inspection Indicator System and Evaluation Method
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- Voltage Reflex and Equalization Charger for Series-connected Batteries
Cheng-Tao Tsai and Jia-Wei Lin
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- Design and Development of a Fuzzy-logic-based Long-range Aquaculture System
Sheng-Tao Chen and Tai-I Chou
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